[med-svn] [r-cran-metamix] 01/02: Imported Upstream version 0.2

Andreas Tille tille at debian.org
Mon Aug 17 10:32:25 UTC 2015


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tille pushed a commit to branch master
in repository r-cran-metamix.

commit 682bcffd2d73003798424f94dd3aeb42083a63db
Author: Andreas Tille <tille at debian.org>
Date:   Mon Aug 17 12:24:16 2015 +0200

    Imported Upstream version 0.2
---
 DESCRIPTION                                 |   21 +
 MD5                                         |   52 +
 NAMESPACE                                   |   18 +
 R/EM.R                                      |   74 +
 R/Gibbs.R                                   |   81 ++
 R/computePenalty.R                          |   21 +
 R/getArgs.R                                 |    7 +
 R/logmean.R                                 |    9 +
 R/metaMix-package.r                         |   18 +
 R/step1_preprocess.R                        |  570 ++++++++
 R/step2_allInclusive_MM.R                   |  178 +++
 R/step3_parallelTemper.R                    |  920 ++++++++++++
 R/step3_parallelTemper_nucl.R               |  915 ++++++++++++
 R/step4_bayesModelAver.R                    |  456 ++++++
 R/zzz.R                                     |   10 +
 build/vignette.rds                          |  Bin 0 -> 201 bytes
 data/step1.RData                            |  Bin 0 -> 12383 bytes
 data/step2.RData                            |  Bin 0 -> 124439 bytes
 data/step3.RData                            |  Bin 0 -> 3845 bytes
 inst/doc/guide.R                            |  106 ++
 inst/doc/guide.Rnw                          |  355 +++++
 inst/doc/guide.pdf                          |  Bin 0 -> 168700 bytes
 inst/extdata/PT_plots.RData                 |  Bin 0 -> 48085 bytes
 inst/extdata/blastOut_custom.tab            | 1505 +++++++++++++++++++
 inst/extdata/blastOut_default.tab           | 1505 +++++++++++++++++++
 inst/extdata/dat1/blastOut.tab              | 1025 +++++++++++++
 inst/extdata/dat1/blastOut2.tab             |  200 +++
 inst/extdata/dat1/blastOut_old.tab          | 1942 +++++++++++++++++++++++++
 inst/extdata/dat1/gi_taxid_prot_example.dmp | 1031 +++++++++++++
 inst/extdata/dat1/names_example.dmp         | 2059 ++++++++++++++++++++++++++
 inst/extdata/dat1/names_example.dmp.bck     | 2059 ++++++++++++++++++++++++++
 inst/extdata/dat1/read_lengths.tab          |  195 +++
 inst/extdata/dat1/read_weights.tab          |  195 +++
 inst/extdata/dat1/remove.sh                 |    8 +
 inst/extdata/dat1/removeID.tab              |   70 +
 inst/extdata/dat1/step2.RData               |  Bin 0 -> 68081 bytes
 inst/extdata/dat1/step3.RData               |  Bin 0 -> 4056 bytes
 inst/extdata/dat1/step4.RData               |  Bin 0 -> 17186 bytes
 inst/extdata/gi_taxid_prot_example.dmp      |  949 ++++++++++++
 inst/extdata/names_example.dmp              | 2065 +++++++++++++++++++++++++++
 inst/extdata/read_lengths.tab               |  170 +++
 inst/extdata/read_weights.tab               |   44 +
 man/bayes.model.aver.Rd                     |   55 +
 man/generative.prob.Rd                      |   58 +
 man/parallel.temper.Rd                      |   58 +
 man/parallel.temper.nucl.Rd                 |   50 +
 man/reduce.space.Rd                         |   55 +
 man/step1.Rd                                |    9 +
 man/step2.Rd                                |    9 +
 man/step3.Rd                                |    9 +
 src/fast_multinom_weight.cpp                |   65 +
 vignettes/guide.Rnw                         |  355 +++++
 vignettes/guide.Rnw.bck                     |  353 +++++
 53 files changed, 19909 insertions(+)

diff --git a/DESCRIPTION b/DESCRIPTION
new file mode 100644
index 0000000..9dc1673
--- /dev/null
+++ b/DESCRIPTION
@@ -0,0 +1,21 @@
+Package: metaMix
+Title: Bayesian Mixture Analysis for Metagenomic Community Profiling
+Version: 0.2
+Author: Sofia Morfopoulou <sofia.morfopoulou.10 at ucl.ac.uk>
+Maintainer: Sofia Morfopoulou <sofia.morfopoulou.10 at ucl.ac.uk>
+Depends: R (>= 3.0.1)
+Imports: data.table (>= 1.9.2), Matrix, gtools, Rmpi, ggplot2
+Suggests: knitr
+VignetteBuilder: knitr
+Description: Resolves complex metagenomic mixtures by analysing
+    deep sequencing data, using a mixture model based approach.
+    The use of parallel Monte Carlo Markov chains for the exploration
+    of the species space enables the identification of the set
+    of species more likely to contribute to the mixture.
+License: GPL-3
+LazyData: true
+SystemRequirements: Open MPI (>=1.4.3)
+Packaged: 2015-03-15 12:32:53 UTC; psofaki
+NeedsCompilation: yes
+Repository: CRAN
+Date/Publication: 2015-03-15 14:03:01
diff --git a/MD5 b/MD5
new file mode 100644
index 0000000..524be9b
--- /dev/null
+++ b/MD5
@@ -0,0 +1,52 @@
+9dd81d1d788990a863170ba6deeedc35 *DESCRIPTION
+e66e614738dfa021a3a21c766ee7b940 *NAMESPACE
+f7981051fdc87cd0143a44803371667d *R/EM.R
+a605a7a62d94245fcd421804721c2f3c *R/Gibbs.R
+9601c3cccbb67a14d787cdf2be14eb24 *R/computePenalty.R
+f590768dbed832890df0ea1db8fd39e6 *R/getArgs.R
+d889a02088cf85fb26cf073d14748ead *R/logmean.R
+56107e17c3594b8cb228ded8ec364066 *R/metaMix-package.r
+461534451d91e1e9e70310b1113228dc *R/step1_preprocess.R
+7b4dc11d4a1451e034cd4ae52afd8c4d *R/step2_allInclusive_MM.R
+c3de500e56eac8cfeab2e301ebae2877 *R/step3_parallelTemper.R
+c87e556577fce9e7a38935c99fc15db4 *R/step3_parallelTemper_nucl.R
+48a09cd6ccd020d527c10b7a2f6df3e5 *R/step4_bayesModelAver.R
+a80ff79ae5bd51e3928d200932b61940 *R/zzz.R
+364413a8569dba7c2d700554cd514631 *build/vignette.rds
+b873ed41550485a23a9ef1d07c340dcf *data/step1.RData
+2c2debad39291aa20f133159ec44ad7f *data/step2.RData
+e06525e0f87c09ff5241a1c1bc7913db *data/step3.RData
+eaea8c38db30c6e0cefb736fcc994087 *inst/doc/guide.R
+0f2434e09c960732a14cfd8cf46fcaf7 *inst/doc/guide.Rnw
+21e319045554055867d99fe9acd2c4ae *inst/doc/guide.pdf
+42a7d808b5f0df7e6030c9f32c5eca6f *inst/extdata/PT_plots.RData
+f943aed8a86d436f375cd866e5963f5a *inst/extdata/blastOut_custom.tab
+12ae20acc7ac927796fbd9c6d9182e03 *inst/extdata/blastOut_default.tab
+06059a4c8f81ef07f28c5263162fdcad *inst/extdata/dat1/blastOut.tab
+f05b181d7495f430fd9f20425eaf2d39 *inst/extdata/dat1/blastOut2.tab
+04a476a3c0632c916934ff0e02dcd6b4 *inst/extdata/dat1/blastOut_old.tab
+db8337ab6f2dd25a384ffdcaa7f9d0e5 *inst/extdata/dat1/gi_taxid_prot_example.dmp
+996013ca4f4845279c8f0bea245fed2c *inst/extdata/dat1/names_example.dmp
+2d558bd382dfb88a42d9f972843da2c0 *inst/extdata/dat1/names_example.dmp.bck
+a02367cf902fe625cd10a5981d337124 *inst/extdata/dat1/read_lengths.tab
+f59356a998f4d3b68b20a826df27f4cc *inst/extdata/dat1/read_weights.tab
+3c8d97041c94105846438dbb84c3a260 *inst/extdata/dat1/remove.sh
+1029fa8a7afd3b88aa09f31a921c38fb *inst/extdata/dat1/removeID.tab
+b79ab5267fecd9e2deee8c95c3d4060b *inst/extdata/dat1/step2.RData
+375deb784d5c1be0c3d73793d4eaabb1 *inst/extdata/dat1/step3.RData
+075e56483ff192e92762d986c3c7a4e9 *inst/extdata/dat1/step4.RData
+7c3c7148191066a3a7e7aface295344f *inst/extdata/gi_taxid_prot_example.dmp
+969c0d1f53be01283db36d9b2ddea6bd *inst/extdata/names_example.dmp
+0a3116df0500ab3b0826fbaea931c3ac *inst/extdata/read_lengths.tab
+6da431dbc9f4fbcfc47e177bcb2d9a22 *inst/extdata/read_weights.tab
+34951018b9e1d31ccddec2d51e87c17c *man/bayes.model.aver.Rd
+f99cb11f746b179e9f2ac42804379003 *man/generative.prob.Rd
+91fc553a31865685ebf8486c5f9590a4 *man/parallel.temper.Rd
+67dac4f76a6221f654eb8198d472c1a8 *man/parallel.temper.nucl.Rd
+419b51e838d6c648937497158cd6fa84 *man/reduce.space.Rd
+96927c5374e301f9e60fd06727de6a61 *man/step1.Rd
+55f3e04c84e04a5656501483056b94fb *man/step2.Rd
+750cf9fdcb6c749591fd1be146f23c98 *man/step3.Rd
+14cd8c3d566b0b93a63b2df78347b84c *src/fast_multinom_weight.cpp
+0f2434e09c960732a14cfd8cf46fcaf7 *vignettes/guide.Rnw
+03a8857d3f74dd307bb5b668ce392843 *vignettes/guide.Rnw.bck
diff --git a/NAMESPACE b/NAMESPACE
new file mode 100644
index 0000000..74d3ec7
--- /dev/null
+++ b/NAMESPACE
@@ -0,0 +1,18 @@
+# Generated by roxygen2 (4.0.1): do not edit by hand
+
+export(bayes.model.aver)
+export(bayes.model.aver.explicit)
+export(generative.prob)
+export(generative.prob.nucl)
+export(parallel.temper)
+export(parallel.temper.explicit)
+export(parallel.temper.nucl)
+export(parallel.temper.nucl.explicit)
+export(reduce.space)
+export(reduce.space.explicit)
+import(Matrix)
+import(Rmpi)
+import(data.table)
+import(ggplot2)
+importFrom(gtools,rdirichlet)
+useDynLib(metaMix)
diff --git a/R/EM.R b/R/EM.R
new file mode 100644
index 0000000..5eea3c0
--- /dev/null
+++ b/R/EM.R
@@ -0,0 +1,74 @@
+EM = function(pij, iter, species, abund, readWeights)
+{
+  time1 <- Sys.time() 
+
+####### Matrices to record the mixing weights and species assignments through iterations
+  abundances<-matrix(0, ncol=(length(species)+1), nrow=iter)
+  abundances[,1]=1:iter
+  logLs<-matrix(0, ncol=2, nrow=iter)
+  logLs[,1]=1:iter
+  rowWeights <- as.numeric(readWeights[ rownames(pij) ,"weight"])
+
+  
+####### Create progress bar
+#  pb <- txtProgressBar(min = 0, max = iter, style = 3)
+  
+#### select  the species you want and at the same time rearrange columns of pij.temp to be same with species vector, so multiplication work
+
+  pij.temp<-pij[,species]  
+  timeA <- Sys.time() 
+
+####### Begin iterations
+  for (i in 1:iter) {
+#    print(i)
+    w<-as.numeric(abund)
+ 
+#####Do at the same time STEP1 and STEP2
+######## STEP1.Calculate  zij {zij=pijwj/\sum_j(pijwj)} - Expectation Step
+    zij<-(t(t(pij.temp)*w))
+    
+    sumProd<-rowSums(zij)
+
+    zijFinal <- zij / sumProd
+    rm(zij)
+    gc()
+ #   rowWeights <- as.numeric(readWeights[ dimnames(zijFinal)[[1]] ,"weight"])
+    zijWeighted<-zijFinal*rowWeights
+    rm(zijFinal)
+    gc()
+    
+######## STEP2. Compute wj - Maximization step 
+
+    abund<- colSums(zijWeighted)/sum(colSums(zijWeighted))
+    names(abund)<-colnames(zijWeighted)
+
+### record log-likelihood
+    logL<-colSums(log(pij.temp%*%abund)*readWeights[rownames(pij.temp),"weight"])
+
+
+###### record output    
+    abundances[i,2:(length(species)+1)]<-w   
+    logLs[i,2]<-logL
+
+#### update progress bar
+ #   setTxtProgressBar(pb, i)
+
+    
+} ###end of iterat
+
+###close progress bar
+#  close(pb)
+
+
+### Processing time
+ 
+  time2<-Sys.time()
+  timeDiff<-time2-time1
+  iterTimeDiff<-time2-timeA
+
+  abundances=data.frame(abundances)
+  names(abundances)<-c("Iter", colnames(pij.temp))
+  
+  result<-list("abundances"=abundances, "logL"=logLs, "RunningTime"=timeDiff)
+  return(result)
+}
diff --git a/R/Gibbs.R b/R/Gibbs.R
new file mode 100644
index 0000000..545d0bb
--- /dev/null
+++ b/R/Gibbs.R
@@ -0,0 +1,81 @@
+Gibbs = function(pij, iter, species, abund,  hyperParam, fast.rmultinom.weight, readWeights)
+{
+  time1 <- Sys.time() 
+
+####### Matrices to record the mixing weights and species assignments through iterations
+  abundances<-matrix(0, ncol=(length(species)+1), nrow=iter)
+  abundances[,1]=1:iter
+  assignments<-matrix(0, ncol=(length(species)+1), nrow=iter)
+  assignments[,1]=1:iter
+  
+#### select  the species you want and at the same time rearrange columns of pij.temp to be same with species vector, so multiplication work
+
+  pij.temp<-pij[,species]
+  
+#### make matrix that will hold the assignments
+  assignm<-matrix(0, nrow=(dim(pij.temp)[1]), ncol=(dim(pij.temp)[2]))
+  colnames(assignm)<-colnames(pij.temp)
+  rownames(assignm)<-rownames(pij.temp)
+
+  timeA <- Sys.time() 
+
+####### Begin iterations
+  for (i in 1:iter) {
+    zij <- as.matrix(pij.temp)
+    w<-abund
+ 
+
+#####Do at the same time STEP1 and STEP2
+######## STEP1.Calculate  zij {zij=pijwj/sum_j(pijwj)}
+
+######## STEP2. Sample from multinomial ~ Mult(draw=1,objects = 1, prob = zij)
+ 
+    assignm<-fast.rmultinom.weight(proba.matrix=zij, z.matrix=assignm, weights=as.vector(w))
+
+    assignmWeighted<- assignm[rownames(readWeights),] * readWeights[,"weight"] ### multiply assignment (0,1) by read weight
+
+
+######## STEP3. Calculate nj=sum_i(zij)
+    nj <- colSums(assignmWeighted)
+
+
+######## STEP4. Generate w^(t) from \pi (w|z^(t)). Sample w from Dirichlet (a1+n1, ..., ak+nk)
+####new parameters for Dirichlet
+    alpha<-nj + hyperParam
+    abund<-rdirichlet(1,alpha)
+    colnames(abund)<-colnames(assignmWeighted)
+
+
+
+##### Combine assignment info with read names    
+    assignedReads<-cbind.data.frame(read=rownames(pij.temp), assignmWeighted,  stringsAsFactors=FALSE)
+
+
+###### record output
+    assignments[i,2:(length(species)+1)]<- nj
+
+    abundances[i,2:(length(species)+1)]<-w
+    
+
+#### update progress bar
+    #setTxtProgressBar(pb, i)
+
+    
+} ###end of iterat
+
+  
+### Processing time
+  time2<-Sys.time()
+  timeDiff<-time2-time1
+  iterTimeDiff<-time2-timeA
+
+  abundances=data.frame(abundances)
+  names(abundances)<-c("Iter", colnames(zij))
+  assignments=data.frame(assignments)
+  names(assignments)<-c("Iter", colnames(zij))
+
+
+  
+  result<-list("abundances"=abundances, "assignments"=assignments, "RunningTime"=timeDiff, "RunningTimeIterations"=iterTimeDiff, "pijs"= pij.temp, "assignedReads"=assignedReads)
+  return(result)
+}
diff --git a/R/computePenalty.R b/R/computePenalty.R
new file mode 100644
index 0000000..4252ac1
--- /dev/null
+++ b/R/computePenalty.R
@@ -0,0 +1,21 @@
+computePenalty<-function(readSupport, readWeights, pUnknown){
+totalReads<-sum(readWeights[,"weight"])
+pij<-matrix(data=0, ncol=2, nrow=totalReads)
+LLunknown<-totalReads*log(pUnknown)
+pij[,1]<-pUnknown
+pij[1:readSupport,2]<-1
+abund<-c((totalReads - readSupport)/totalReads, readSupport/totalReads)
+lpenalty<-LLunknown-colSums(log(pij%*%abund))
+return(lpenalty)
+}                      
+
+computePenalty.nucl<-function(readSupport, readWeights, pUnknown, median.genome.length){
+totalReads<-sum(readWeights[,"weight"])
+pij<-matrix(data=0, ncol=2, nrow=totalReads)
+LLunknown<-totalReads*log(pUnknown)
+pij[,1]<-pUnknown
+pij[1:readSupport,2]<-1/median.genome.length
+abund<-c((totalReads - readSupport)/totalReads, readSupport/totalReads)
+lpenalty<-LLunknown-colSums(log(pij%*%abund))
+return(lpenalty)
+}                      
diff --git a/R/getArgs.R b/R/getArgs.R
new file mode 100644
index 0000000..f3e8791
--- /dev/null
+++ b/R/getArgs.R
@@ -0,0 +1,7 @@
+getArgs <- function() {
+  myargs.list <- strsplit(grep("=",gsub("--","",commandArgs()),value=TRUE),"=")
+  myargs <- lapply(myargs.list,function(x) x[2] )
+  names(myargs) <- lapply(myargs.list,function(x) x[1])
+  return (myargs)
+}
+
diff --git a/R/logmean.R b/R/logmean.R
new file mode 100644
index 0000000..7d514e8
--- /dev/null
+++ b/R/logmean.R
@@ -0,0 +1,9 @@
+logmean <- function(logL) {
+
+
+  my.max <- max(logL)
+  my.mod.logL <- logL - my.max
+  return( log(mean(exp(my.mod.logL))) + my.max)
+  
+  
+}
diff --git a/R/metaMix-package.r b/R/metaMix-package.r
new file mode 100644
index 0000000..de12cfb
--- /dev/null
+++ b/R/metaMix-package.r
@@ -0,0 +1,18 @@
+#' Example output of generative.prob() for use in the vignette/examples
+#'
+#' @name step1
+#' @format A list with 5 elements
+NULL
+
+#' Example output of reduce.space() for use in the vignette/examples
+#'
+#' @name step2
+#' @format A list with 6 elements
+NULL
+
+#' Example output of parallel.temper() for use in the vignette/examples
+#'
+#' @name step3
+#' @format A list with 2 elements
+NULL
+
diff --git a/R/step1_preprocess.R b/R/step1_preprocess.R
new file mode 100644
index 0000000..ef24299
--- /dev/null
+++ b/R/step1_preprocess.R
@@ -0,0 +1,570 @@
+
+################################################ CALCULATE pij: PROBABILITY READ IS GENERATED BY CERTAIN SPECIES ###############################################Use Poisson probabilities to incorporate quality of match.
+#' @name generative.prob
+#' @aliases generative.prob
+#' @aliases generative.prob.nucl
+#' @title Compute generative probabilities from BLAST output
+NULL
+#' @rdname generative.prob
+#' @title generative.prob
+#' @description generative.prob() computes the probability for a read to be generated by a certain species, given that it originates from this species. The input for this function is the tabular BLAST output format, either default or custom. The function uses the recorded mismatches to produce a Poisson probability.
+#' @param  blast.output.file This is the  tabular BLASTx output format for generative.prob(), while it is the tabular BLASTn output format for generative.prob.nucl(). It can either be the default output format or a specific custom output format, incorporating read length and taxon identifier. Please see the vignette for column order and the exact BLAST command to use.
+#' @param read.length.file This argument can either be a file mapping each read to its length or a numerical value, representing the average read length.
+#' @param contig.weight.file This argument can either be a file where weights are assigned to reads and contigs. For unassembled reads the weight is equal to 1 while for contigs the weight should reflect the number of reads that assembled it.
+#' @param gi.taxon.file For generative.prob() this would be the 'gi_taxid_prot.dmp' taxonomy file, mapping each protein gi identifier to the corresponding taxon identifier. It can be downloaded from \url{ftp://ftp.ncbi.nih.gov/pub/taxonomy/gi_taxid_prot.dmp.gz} . For generative.prob.nucl() this would be the 'gi_taxid_nucl.dmp' taxonomy file, mapping each nucleotide gi identifier to the corresponding taxon identifier. It an be downloaded from \url{ftp://ftp.ncbi.nih.gov/pub/taxonomy/gi_ta [...]
+#' @param gen.prob.unknown User-defined generative probability for unknown category. Default value for generative.prob() is 1e-06, while for generative.prob.nucl() is 1e-20.
+#' @param outDir Output directory.
+#' @param blast.default  logical. Is the input the default blast output tabular format? Default value is TRUE. That means that the BLAST output file needs to have the following fields:Query id, Subject id, percent identity, alignment length, mismatches, gap openings, query start, query end, subject start, subject end, e-value, bit score.  Alternatively we can use the 'blast.default=FALSE' option, providing a custom blast output that has been produced using the option -outfmt '6 qacc qlen [...]
+#' @return step1: A list with five elements. The first one (pij.sparse.mat) is a sparse matrix with the generative probability between each read and each species. The second (ordered.species) is matrix containing all the potential species as recorded by BLAST, ordered by the number of reads. The third one (read.weights) is a data.frame mapping each contig to a weight which is essentially the number of reads that were used to assemble it. For unassembled reads the weight is equal to one.  [...]
+#' @keywords generative.prob
+#' @export generative.prob
+#' @import Matrix data.table
+#' @examples
+#' # See vignette for more details
+#' 
+#' \dontrun{
+#' # When using custom BLAST output file
+#' step1 <-generative.prob(blast.output.file = "pathtoFile/blastOut.custom", blast.default=FALSE)
+#'
+#' # When using default BLAST output file
+#' step1 <-generative.prob(blast.output.file = "pathtoFile/blastOut.default",
+#'                         read.length.file="pathtoFile/read.lengths",
+#'                         contig.weight.file="pathtoFile/read.weights",
+#'                         gi.taxon.file = "pathtoFile/taxon.file")
+#' }
+##############################################################################################################################################################
+
+generative.prob = function(blast.output.file=NULL, read.length.file=80, contig.weight.file=1, gi.taxon.file=NULL,  gen.prob.unknown=1e-06, outDir=NULL, blast.default=TRUE){
+
+  if (blast.default){
+    
+    if (!is.null(blast.output.file)) {
+
+      check.output<-fread(input=blast.output.file, sep="\t", header=F)
+
+      if (ncol(check.output)!=12) {  ###quick check for format
+        
+        stop("Please check your BLAST output file. You have used the 'blast.default=TRUE' option, therefore your file needs to have the following fields:'Query id, Subject id, % identity, alignment length, mismatches, gap openings, query start, query end, subject start, subject end, e-value, bit score'. \n Alternatively you can use the 'blast.default=FALSE' option, providing a custom blast output that has been produced using the option  -outfmt '6 qacc qlen sacc slen stitle bitscore leng [...]
+      }  else if (ncol(check.output)==12){      
+        blast.output<-fread(input=blast.output.file, sep="\t", header=F, select=c(1,3, 4, 12))
+        setnames(x=blast.output, old=c("read", "ident", "aln", "bit.score"))           
+        
+        protID<-fread(input=blast.output.file, sep="|", header=F, select=c(2))
+        setnames(x=protID, old="proteinID")
+        blast.out.gi<-cbind.data.frame(blast.output, protID)
+        
+      
+      } else {
+        stop("Please provide the output file from BLASTx. The default tabular format is accepted, using the -m6 flag in the BLASTx command.")
+      }
+    }
+
+      if (is.character(read.length.file)) {
+        read.length<-fread(input=read.length.file, sep="\t", header=F)
+        setnames(x=read.length, old=c("read", "length"))
+      } else if (is.numeric(read.length.file)) {    
+        read.length<-cbind.data.frame("read"=unique(blast.output[["read"]]), "length"=read.length.file)
+      } else {
+        stop("Please provide either a file containing the sequence lengths for reads and contigs or, assuming you haven't assembled contigs enter an average read length value.")
+      }
+
+
+    if (is.character(contig.weight.file)) {
+      contig.weights<-fread(input=contig.weight.file, sep="\t", header=F)
+      setnames(x=contig.weights, old=c("read", "weight"))
+      rownames(contig.weights)<-contig.weights[["read"]]
+    } else if (is.numeric(contig.weight.file)) {    
+      contig.weights<-cbind.data.frame("read"=unique(blast.output[["read"]]), "weight"=contig.weight.file)
+      rownames(contig.weights)<-contig.weights[,"read"]
+    } else {
+      stop("Please provide either a file containing the weights for reads (=1) and contigs (>1) or, assuming you haven't assembled contigs enter contig.weight.file=1.")
+    }
+
+    if (is.null(gi.taxon.file)) {
+      stop("Please provide the 'gi_taxid_prot.dmp' file. It can be downloaded from ftp://ftp.ncbi.nih.gov/pub/taxonomy/gi_taxid_prot.dmp.gz")
+    } else {  
+      taxon.prot<-fread(input=gi.taxon.file, sep="\t", header=F)  
+      setnames(x=taxon.prot, old=c("proteinID","taxonID" ))
+    }
+
+ 
+    blast.length<-merge(blast.out.gi, read.length, by="read")
+
+    blast.length$mismatch <- (blast.length[["length"]]/3)-(blast.length[["ident"]]* blast.length[["aln"]])/100   ## the mismatches throughout read length not hsp length
+
+
+    blast.length.weight<-merge(blast.length, contig.weights, by ="read", all.x=T)
+    indx<-which(is.na(blast.length.weight[["weight"]]))
+    blast.length.weight$weight[indx]<-1
+    read.weights<- unique(blast.length.weight[,c("read","weight"), with=FALSE])
+    rownames(read.weights)<-read.weights[["read"]]
+
+   
+    allInfo.temp<-merge(blast.length.weight, taxon.prot, by="proteinID", all.x=T)
+
+    if (length(unique(allInfo.temp[which(is.na(allInfo.temp[["taxonID"]])),get('proteinID')]))!=0){
+      message("Some of the proteins in your reference database are not in the 'gi_taxon_prot.dmp' file. Therefore these cannot be assigned a taxon identifier. \n We will remove these hits from subsequent analyses. \n For reference the respective gis are:  ")
+      print(unique(allInfo.temp[which(is.na(allInfo.temp[["taxonID"]])),get('proteinID')]))
+      allInfo<-merge(blast.length.weight, taxon.prot, by="proteinID")
+    } else {
+      allInfo<-allInfo.temp
+    }
+
+  
+    probPois<-ppois(allInfo[["mismatch"]] - 1, lambda=0.09*((allInfo[["length"]])/3), lower.tail=FALSE)  ### at least that many mismatches could be observed by chance. Divide by 3 for translated read length
+    data_0.03<-cbind.data.frame(allInfo, "pij"=probPois)                                 ### combine Poisson prob with other read info.
+
+    data.dt<- data.table(data_0.03)
+    data.grouped<-data.dt[,list(pij=max(pij)),by=c("read",  "weight", "taxonID")]  ### one hit per taxonid (best one)
+    pij<-as.data.frame(data.grouped)
+
+
+############use Sparse Matrix "reshape" long -> wide fromat
+    pij.sparse<-with(pij, sparseMatrix(i = as.numeric(factor(get('read'))), j=as.numeric((factor(taxonID))), x=pij,  dimnames=list(levels(factor(get('read'))), levels(factor(taxonID)))))
+
+    pij.dt<-data.table(pij)
+    allspecies.dt<-pij.dt[,list(count.reads=sum(get('weight'))), by="taxonID"]
+  
+    allspecies<-as.data.frame(allspecies.dt)
+    ordered.species<-allspecies[order(-allspecies[,2]) , ]                      #### order them by read count 
+
+### add unknown bin and assign a pij
+    pij.sparse.mat<-cBind(pij.sparse, gen.prob.unknown)
+    colnames(pij.sparse.mat)<-c(colnames(pij.sparse), "unknown")
+    
+    if (length(which(!(rownames(read.weights)%in%rownames(pij.sparse.mat))))!=0) {
+      message("The following reads match only proteins that are no longer supported, i.e their gis are not in 'gi_taxon_prot.dmp'. \n Therefore the reads were removed from subsequent analyses.")
+      print(rownames(read.weights[which(!(rownames(read.weights)%in%rownames(pij.sparse.mat))),]))
+      read.weights<-read.weights[which(rownames(read.weights)%in%rownames(pij.sparse.mat)),]
+      read.weights<-data.frame(read.weights,  row.names=read.weights[["read"]] )
+    } else {
+      read.weights<-data.frame(read.weights,  row.names=read.weights[["read"]] )
+    }
+  
+  
+### sampling weight to use when choosing which species to add during MCMC
+    uniqReads<-dim(pij.sparse.mat)[[1]]
+    ordered.species$sampling.weight<-ordered.species[,2]/uniqReads
+
+###Flattening the sampling probabilities
+    percentiles<-quantile(ordered.species$sampling.weight,  probs=c(0.2, 0.8))
+    ordered.species$sampling.weight[which(ordered.species$sampling.weight  >= percentiles["80%"])] <- percentiles["80%"]
+    ordered.species$sampling.weight[which(ordered.species$sampling.weight  <= percentiles["20%"])] <- percentiles["20%"]
+    colnames(ordered.species)<-c("taxonID", "count.reads", "sampling.weight")
+
+ 
+### remove objects
+    
+    step1<-list("ordered.species"=ordered.species,"pij.sparse.mat"=pij.sparse.mat, "read.weights"=read.weights, "outDir"=outDir, "gen.prob.unknown"=gen.prob.unknown)
+
+    if (!is.null(outDir)) {
+      step1.name <- paste(outDir, "/step1.RData", sep = "")
+      save(step1, file=step1.name)
+      rm(list= ls()[!ls() %in% c("step1")])
+      gc()
+    } else {
+      rm(list= ls()[!ls() %in% c("step1")])
+      gc()
+    }
+
+  
+  
+    return(step1)
+
+    
+  } else {  ###if we are not dealing with default format, but rather with custom blast output that has incorporated the query length and the taxon id)
+
+    if (!is.null(blast.output.file)) {
+
+      check.output<-fread(input=blast.output.file, sep="\t", header=F)
+      if (ncol(check.output)!=10) {  ###quick check for format
+        stop("Please check your blast output file. The custom blast tabular format we accept as input has the following 10 columns 'qacc qlen sacc slen stitle bitscore length pident evalue staxids'. Alternatively you can use the default blast tabular output and use it along with 'blast.default=TRUE' option. You will need also to provide the 'gi_taxid_prot.dmp' file, which can be downloaded from ftp://ftp.ncbi.nih.gov/pub/taxonomy/gi_taxid_prot.dmp.gz")
+
+      } else if (ncol(check.output==10)) {      
+        blast.output.length<-fread(input=blast.output.file, sep="\t", header=F, select=c(1,2, 7, 8, 10))
+        setnames(x=blast.output.length, old=c("read", "length",  "aln", "ident", "taxonID"))
+
+      } else {
+        stop("Please provide the output file from BLASTx. The default tabular format is accepted, using the '-outfmt 6' flag in the BLASTx command.")
+      }
+    }
+  
+
+    if (!is.integer(blast.output.length[["taxonID"]])) {
+      stop("Your blast output does not have correctly formatted taxon identifiers. Please use the 'blast.default=TRUE' option, providing the default blast tabular format (using the blast option '-outfmt 6'  and provide seperately the 'gi_taxid_prot.dmp' file.")        
+    }
+  
+
+    if (is.character(contig.weight.file)) {
+      contig.weights<-fread(input=contig.weight.file, sep="\t", header=F)
+      setnames(x=contig.weights, old=c("read", "weight"))
+      rownames(contig.weights)<-contig.weights[["read"]]
+    } else if (is.numeric(contig.weight.file)) {    
+      contig.weights<-cbind.data.frame("read"=unique(blast.output.length[["read"]]), "weight"=contig.weight.file)
+      rownames(contig.weights)<-contig.weights[,"read"]
+    } else {
+      stop("Please provide either a file containing the weights for reads (=1) and contigs (>1) or, assuming you haven't assembled contigs enter contig.weight.file=1.")
+    }
+
+
+    
+    blast.output.length$mismatch <- (blast.output.length[["length"]]/3)-(blast.output.length[["ident"]]* blast.output.length[["aln"]])/100    ## the mismatches throughout read length not hsp length
+
+    blast.length.weight<-merge(blast.output.length, contig.weights, by ="read", all.x=T)
+    indx<-which(is.na(blast.length.weight[["weight"]]))
+    blast.length.weight$weight[indx]<-1
+
+    read.weights<- unique(blast.length.weight[,c("read","weight"), with=FALSE])
+    rownames(read.weights)<-read.weights[["read"]]
+    
+    allInfo<-blast.length.weight
+    probPois<-ppois(allInfo[["mismatch"]] - 1, lambda=0.09*((allInfo[["length"]])/3), lower.tail=FALSE)  ### at least that many mismatches could be observed by chance. Divide by 3 for translated read length
+    data_0.03<-cbind.data.frame(allInfo, "pij"=probPois)                                 ### combine Poisson prob with other read info.
+
+    data.dt<- data.table(data_0.03)
+    data.grouped<-data.dt[,list(pij=max(pij)),by=c("read",  "weight", "taxonID")]  ### one hit per taxonid (best one)
+    pij<-as.data.frame(data.grouped)
+
+############use Sparse Matrix "reshape" long -> wide fromat
+    pij.sparse<-with(pij, sparseMatrix(i = as.numeric(factor(get('read'))), j=as.numeric((factor(taxonID))), x=pij,  dimnames=list(levels(factor(get('read'))), levels(factor(taxonID)))))
+
+    pij.dt<-data.table(pij)
+    allspecies.dt<-pij.dt[,list(count.reads=sum(get('weight'))), by="taxonID"]
+  
+    allspecies<-as.data.frame(allspecies.dt)
+    ordered.species<-allspecies[order(-allspecies[,2]) , ]                      #### order them by read count 
+
+### add unknown bin and assign a pij
+    pij.sparse.mat<-cBind(pij.sparse, gen.prob.unknown)
+    colnames(pij.sparse.mat)<-c(colnames(pij.sparse), "unknown")
+    
+    if (length(which(!(rownames(read.weights)%in%rownames(pij.sparse.mat))))!=0) {
+#      message("The following reads match only proteins that are no longer supported, i.e their gis are not in 'gi_taxon_prot.dmp'. \n Therefore the reads were removed from subsequent analyses.")
+      print(rownames(read.weights[which(!(rownames(read.weights)%in%rownames(pij.sparse.mat))),]))
+      read.weights<-read.weights[which(rownames(read.weights)%in%rownames(pij.sparse.mat)),]
+      read.weights<-data.frame(read.weights,  row.names=read.weights[["read"]] )
+    } else {
+      read.weights<-data.frame(read.weights,  row.names=read.weights[["read"]] )
+
+    }
+  
+  
+### sampling weight to use when choosing which species to add during MCMC
+    uniqReads<-dim(pij.sparse.mat)[[1]]
+    ordered.species$sampling.weight<-ordered.species[,2]/uniqReads
+
+###Flattening the sampling probabilities
+    percentiles<-quantile(ordered.species$sampling.weight,  probs=c(0.2, 0.8))
+    ordered.species$sampling.weight[which(ordered.species$sampling.weight  >= percentiles["80%"])] <- percentiles["80%"]
+    ordered.species$sampling.weight[which(ordered.species$sampling.weight  <= percentiles["20%"])] <- percentiles["20%"]
+    colnames(ordered.species)<-c("taxonID", "count.reads", "sampling.weight")
+
+ 
+### remove objects
+    
+    step1<-list("ordered.species"=ordered.species,"pij.sparse.mat"=pij.sparse.mat, "read.weights"=read.weights, "outDir"=outDir, "gen.prob.unknown"=gen.prob.unknown)
+
+    if (!is.null(outDir)) {
+      step1.name <- paste(outDir, "/step1.RData", sep = "")
+      save(step1, file=step1.name)
+      rm(list= ls()[!ls() %in% c("step1")])
+      gc()
+    } else {
+      rm(list= ls()[!ls() %in% c("step1")])
+      gc()
+    }
+
+  
+  
+
+    return(step1)
+
+    
+    
+  }
+  
+}
+
+
+#' @rdname generative.prob
+#' @title generative.prob.nucl
+#' @description generative.prob.nucl()  for when we have nucleotide similarity, i.e we have performed BLASTn.
+#' @param genomeLength This is applicable only for generative.prob.nucl() . It is a file mapping each genome/nucleotide to its respective length. The file must be tab seperated and the first column the nucleotide gi identifier (integer) and the second the corresponding sequence length (integer). It will be used to correct the Poisson probabilities between each read and genome.
+#' @keywords generative.prob.nucl
+#' @export generative.prob.nucl
+#' @import Matrix data.table
+##############################################################################################################################################################
+generative.prob.nucl = function(blast.output.file=NULL, read.length.file=80, contig.weight.file=1, gi.taxon.file,  gen.prob.unknown=1e-20, outDir=NULL, genomeLength=NULL, blast.default=TRUE){
+
+
+  if (blast.default){
+    
+    if (!is.null(blast.output.file)) {
+
+      check.output<-fread(input=blast.output.file, sep="\t", header=F)
+
+      if (ncol(check.output)!=12) {  ###quick check for format
+        
+        stop("Please check your BLAST output file. You have used the 'blast.default=TRUE' option, therefore your file needs to have the following fields:'Query id, Subject id, % identity, alignment length, mismatches, gap openings, query start, query end, subject start, subject end, e-value, bit score'. \n Alternatively you can use the 'blast.default=FALSE' option, providing a custom blast output that has been produced using the option  -outfmt '6 qacc qlen sacc slen stitle bitscore leng [...]
+      }  else if (ncol(check.output)==12){      
+        blast.output<-fread(input=blast.output.file, sep="\t", header=F, select=c(1,3, 4, 5))
+        setnames(x=blast.output, old=c("read", "ident", "aln", "mismatch"))           
+
+        nuclID<-fread(input=blast.output.file, sep="|", header=F, select=c(2))
+        setnames(x=nuclID, old="nucleotideID")
+        blast.out.gi<-cbind.data.frame(blast.output, nuclID)
+        
+      
+      } else {
+        stop("Please provide the output file from BLASTx. The default tabular format is accepted, using the -m6 flag in the BLASTx command.")
+      }
+    }
+
+   
+    if (is.character(read.length.file)) {
+      read.length<-fread(input=read.length.file, sep="\t", header=F)
+      setnames(x=read.length, old=c("read", "length"))
+    } else if (is.numeric(read.length.file)) {    
+      read.length<-cbind.data.frame("read"=unique(blast.output[["read"]]), "length"=read.length.file)
+    } else {
+      stop("Please provide either a file containing the sequence lengths for reads and contigs or, assuming you haven't assembled contigs enter an average read length value.")
+    }
+
+
+    if (is.character(contig.weight.file)) {
+      contig.weights<-fread(input=contig.weight.file, sep="\t", header=F)
+      setnames(x=contig.weights, old=c("read", "weight"))
+      rownames(contig.weights)<-contig.weights[["read"]]
+    } else if (is.numeric(contig.weight.file)) {    
+      contig.weights<-cbind.data.frame("read"=unique(blast.output[["read"]]), "weight"=contig.weight.file)
+      rownames(contig.weights)<-contig.weights[,"read"]
+    } else {
+      stop("Please provide either a file containing the weights for reads (=1) and contigs (>1) or, assuming you haven't assembled contigs enter contig.weight=1.")
+    }
+
+
+    message("Map nucleotide gi identifiers to taxon identifiers. This could take a couple of minutes.")
+    if (is.null(gi.taxon.file)) {
+      stop("Please provide the 'gi_taxid_nucl.dmp' file. It can be downloaded from ftp://ftp.ncbi.nih.gov/pub/taxonomy/gi_taxid_nucl.dmp.gz")
+    } else {  
+      taxon.nucl<-fread(input=gi.taxon.file, sep="\t", header=F)  
+      setnames(x=taxon.nucl, old=c("nucleotideID","taxonID" ))
+    }
+
+    if (is.null(genomeLength)) {
+      stop("Please provide the file of genomes lengths. The first column should be the gi nucleotide identifier and the second column the sequence length")
+    } else {  
+      genome.length<-fread(input=genomeLength, sep="\t", header=F)  
+      setnames(x=genome.length, old=c("nucleotideID","genome.length" ))  
+      genome.length$genome.length<-as.integer(genome.length$genome.length)
+      genome.length$nucleotideID<-as.integer(genome.length$nucleotideID)
+      genome.length<-unique(genome.length)
+    }
+  
+ 
+################### poisson prob with  lambda=3 mismatches per 100 nucleotides
+
+    blast.length<-merge(blast.out.gi, read.length, by="read")
+
+
+    mismatchNew<-ifelse(blast.length[["length"]]>=200, blast.length[["mismatch"]], blast.length[["length"]]-(blast.length[["ident"]]* blast.length[["aln"]])/100)
+
+    blast.length$mismatch<-mismatchNew
+
+    
+    
+    blast.length.weight<-merge(blast.length, contig.weights, by ="read", all.x=T)
+    indx<-which(is.na(blast.length.weight[["weight"]]))
+    blast.length.weight$weight[indx]<-1
+    read.weights<- unique(blast.length.weight[,c("read","weight"), with=FALSE])
+    rownames(read.weights)<-read.weights[["read"]]
+  
+  
+    allInfo.temp<-merge(blast.length.weight, taxon.nucl, by="nucleotideID", all.x=T)
+
+    if (length(unique(allInfo.temp[which(is.na(allInfo.temp[["taxonID"]])),get('nucleotideID')]))!=0){
+      message("Some of the nucleotides in your reference database are not in the 'gi_taxon_nucl.dmp' file. Therefore these cannot be assigned a taxon identifier. \n We will remove these hits from subsequent analyses. \n For reference the respective gis are:  ")
+      print(unique(allInfo.temp[which(is.na(allInfo.temp[["taxonID"]])),get('nucleotideID')]))
+      allInfo<-merge(blast.length.weight, taxon.nucl, by="nucleotideID") ######Just corrected it
+    } else {
+      allInfo<-allInfo.temp
+    }
+    
+
+  
+    probPois<-ppois(allInfo[["mismatch"]] - 1, lambda=0.03*(allInfo[["length"]]), lower.tail=FALSE)  ### at least that many mismatches could be observed by chance. Divide by 3 for translated read length
+    data_0.03<-cbind.data.frame(allInfo, "pois"=probPois)                                 ### combine Poisson prob with other read info.
+    data_0.03.dt<- data.table(data_0.03)
+    data.dt<-merge(data_0.03.dt, genome.length, by="nucleotideID")
+    data.dt$pij<-data.dt[["pois"]]/data.dt[["genome.length"]]
+  
+    data.grouped<-data.dt[,list(pij=max(pij)),by=c("read",  "weight", "taxonID")]  ### one hit per taxonid (best one)
+    pij<-as.data.frame(data.grouped)
+
+############use Sparse Matrix "reshape" long -> wide fromat
+    pij.sparse<-with(pij, sparseMatrix(i = as.numeric(factor(get('read'))), j=as.numeric((factor(taxonID))), x=pij,  dimnames=list(levels(factor(get('read'))), levels(factor(taxonID)))))
+    
+    pij.dt<-data.table(pij)
+    allspecies.dt<-pij.dt[,list(count.reads=length(get('read'))), by="taxonID"]
+    allspecies<-as.data.frame(allspecies.dt)
+    ordered.species<-allspecies[order(-allspecies[,2]) , ]                      #### order them by read count 
+
+### add unknown bin and assign a pij
+    pij.sparse.mat<-cBind(pij.sparse, gen.prob.unknown)
+    colnames(pij.sparse.mat)<-c(colnames(pij.sparse), "unknown")
+
+    if (length(which(!(rownames(read.weights)%in%rownames(pij.sparse.mat))))!=0) {
+#    message("The following reads match only nucleotides that are no longer supported, i.e their gis are not in", gi.taxon.file, "\n Therefore the reads were removed from subsequent analyses.")
+      print(rownames(read.weights[which(!(rownames(read.weights)%in%rownames(pij.sparse.mat))),]))
+      read.weights<-read.weights[which(rownames(read.weights)%in%rownames(pij.sparse.mat)),]
+      read.weights<-data.frame(read.weights, row.names=read.weights[["read"]] )
+    } else {
+      read.weights<-data.frame(read.weights,  row.names=read.weights[["read"]] )
+
+    }
+  
+  
+### sampling weight to use when choosing which species to add during MCMC
+    uniqReads<-dim(pij.sparse.mat)[[1]]
+    ordered.species$sampling.weight<-ordered.species[,2]/uniqReads
+
+###Flattening the sampling probabilities
+    percentiles<-quantile(ordered.species$sampling.weight,  probs=c(0.2, 0.8))
+    ordered.species$sampling.weight[which(ordered.species$sampling.weight  >= percentiles["80%"])] <- percentiles["80%"]
+    ordered.species$sampling.weight[which(ordered.species$sampling.weight  <= percentiles["20%"])] <- percentiles["20%"]
+    colnames(ordered.species)<-c("taxonID", "count.reads", "sampling.weight")
+
+ 
+### remove objects
+
+    step1<-list("ordered.species"=ordered.species,"pij.sparse.mat"=pij.sparse.mat, "read.weights"=read.weights, "outDir"=outDir, "gen.prob.unknown"=gen.prob.unknown)
+
+    if (!is.null(outDir)) {
+      step1.name <- paste(outDir, "/step1.RData", sep = "")
+      save(step1, file=step1.name)
+      rm(list= ls()[!ls() %in% c("step1")])
+      gc()
+    } else {
+      rm(list= ls()[!ls() %in% c("step1")])
+      gc()
+    }
+  
+    return(step1)
+    
+        
+  } else {  ################ if we are not dealing with default format, but rather with custom blast output that has incorporated the query length and the taxon id)
+
+    if (!is.null(blast.output.file)) {
+
+      check.output<-fread(input=blast.output.file, sep="\t", header=F)
+
+      if (ncol(check.output)!=10) {  ###quick check for format
+        stop("Please check your blast output file. The custom blast tabular format we accept as input has the following 10 columns 'qacc qlen sacc slen stitle bitscore length pident evalue staxids'. Alternatively you can use the default blast tabular output and use it along with 'blast.default=TRUE' option. You will need also to provide the 'gi_taxid_prot.dmp' file, which can be downloaded from ftp://ftp.ncbi.nih.gov/pub/taxonomy/gi_taxid_prot.dmp.gz")
+        
+      }  else if (ncol(check.output)==10){
+
+        
+        blast.output.length<-fread(input=blast.output.file, sep="\t", header=F, select=c(1,2, 4, 7, 8, 10))
+        setnames(x=blast.output.length, old=c("read", "length", "genome.length",  "aln",  "ident", "taxonID"))
+        
+      } else {
+        stop("Please provide the output file from BLASTx. The default tabular format is accepted, using the '-outfmt 6' flag in the BLASTx command.")
+      }
+    }
+     
+    if (!is.integer(blast.output.length[["taxonID"]])) {
+      stop("Your blast output does not have correctly formatted taxon identifiers. Please use the 'blast.default=TRUE' option, providing the default blast tabular format (using the blast option '-outfmt 6'  and provide seperately the 'gi_taxid_prot.dmp' file.")        
+    }
+      
+    if (is.character(contig.weight.file)) {
+      contig.weights<-fread(input=contig.weight.file, sep="\t", header=F)
+      setnames(x=contig.weights, old=c("read", "weight"))
+      rownames(contig.weights)<-contig.weights[["read"]]
+    } else if (is.numeric(contig.weight.file)) {    
+      contig.weights<-cbind.data.frame("read"=unique(blast.output.length[["read"]]), "weight"=contig.weight.file)
+      rownames(contig.weights)<-contig.weights[,"read"]
+    } else {
+      stop("Please provide either a file containing the weights for reads (=1) and contigs (>1) or, assuming you haven't assembled contigs enter contig.weight.file=1.")
+    }
+        
+
+    blast.output.length$mismatch<-ifelse(blast.output.length[["length"]]>=200, (1-blast.output.length[["ident"]]/100)*blast.output.length[["aln"]], blast.output.length[["length"]]-(blast.output.length[["ident"]]* blast.output.length[["aln"]])/100)
+
+#    blast.output.length$mismatch<-mismatchNew
+    
+    blast.length.weight<-merge(blast.output.length, contig.weights, by ="read", all.x=T)
+    indx<-which(is.na(blast.length.weight[["weight"]]))
+    blast.length.weight$weight[indx]<-1
+    read.weights<- unique(blast.length.weight[,c("read","weight"), with=FALSE])
+    rownames(read.weights)<-read.weights[["read"]]
+
+################### poisson prob with  lambda=3 mismatches per 100 nucleotides
+
+    allInfo<-blast.length.weight
+    probPois<-ppois(allInfo[["mismatch"]] - 1, lambda=0.03*(allInfo[["length"]]), lower.tail=FALSE)  ### at least that many mismatches could be observed by chance. Divide by 3 for translated read length
+      data_0.03<-cbind.data.frame(allInfo, "pois"=probPois)                                 ### combine Poisson prob with other read info.
+      data.dt<- data.table(data_0.03)
+     # data.dt<-merge(data_0.03.dt, genome.length, by="nucleotideID")
+      data.dt$pij<-data.dt[["pois"]]/data.dt[["genome.length"]]
+      
+      data.grouped<-data.dt[,list(pij=max(pij)),by=c("read",  "weight", "taxonID")]  ### one hit per taxonid (best one)
+      pij<-as.data.frame(data.grouped)
+
+############use Sparse Matrix "reshape" long -> wide fromat
+      pij.sparse<-with(pij, sparseMatrix(i = as.numeric(factor(get('read'))), j=as.numeric((factor(taxonID))), x=pij,  dimnames=list(levels(factor(get('read'))), levels(factor(taxonID)))))
+      
+      pij.dt<-data.table(pij)
+      allspecies.dt<-pij.dt[,list(count.reads=length(get('read'))), by="taxonID"]
+      allspecies<-as.data.frame(allspecies.dt)
+      ordered.species<-allspecies[order(-allspecies[,2]) , ]                      #### order them by read count 
+
+### add unknown bin and assign a pij
+      pij.sparse.mat<-cBind(pij.sparse, gen.prob.unknown)
+      colnames(pij.sparse.mat)<-c(colnames(pij.sparse), "unknown")
+
+      if (length(which(!(rownames(read.weights)%in%rownames(pij.sparse.mat))))!=0) {
+#    message("The following reads match only nucleotides that are no longer supported, i.e their gis are not in", gi.taxon.file, "\n Therefore the reads were removed from subsequent analyses.")
+        print(rownames(read.weights[which(!(rownames(read.weights)%in%rownames(pij.sparse.mat))),]))
+        read.weights<-read.weights[which(rownames(read.weights)%in%rownames(pij.sparse.mat)),]
+        read.weights<-data.frame(read.weights, row.names=read.weights[["read"]] )
+      } else {
+        read.weights<-data.frame(read.weights,  row.names=read.weights[["read"]] )
+      }
+  
+  
+### sampling weight to use when choosing which species to add during MCMC
+      uniqReads<-dim(pij.sparse.mat)[[1]]
+      ordered.species$sampling.weight<-ordered.species[,2]/uniqReads
+
+###Flattening the sampling probabilities
+      percentiles<-quantile(ordered.species$sampling.weight,  probs=c(0.2, 0.8))
+      ordered.species$sampling.weight[which(ordered.species$sampling.weight  >= percentiles["80%"])] <- percentiles["80%"]
+      ordered.species$sampling.weight[which(ordered.species$sampling.weight  <= percentiles["20%"])] <- percentiles["20%"]
+      colnames(ordered.species)<-c("taxonID", "count.reads", "sampling.weight")
+
+ 
+### remove objects
+
+      step1<-list("ordered.species"=ordered.species,"pij.sparse.mat"=pij.sparse.mat, "read.weights"=read.weights, "outDir"=outDir, "gen.prob.unknown"=gen.prob.unknown)
+
+      if (!is.null(outDir)) {
+        step1.name <- paste(outDir, "/step1.RData", sep = "")
+        save(step1, file=step1.name)
+        rm(list= ls()[!ls() %in% c("step1")])
+        gc()
+      } else {
+        rm(list= ls()[!ls() %in% c("step1")])
+        gc()
+      }
+
+  
+
+      return(step1)
+
+  }
+
+}
+    
+ 
+
+
diff --git a/R/step2_allInclusive_MM.R b/R/step2_allInclusive_MM.R
new file mode 100644
index 0000000..7672d76
--- /dev/null
+++ b/R/step2_allInclusive_MM.R
@@ -0,0 +1,178 @@
+################################################ Perform approximating EM ###############################################
+#' @name reduce.space
+#' @title Reduce the space of potential species by fitting the mixture model with  all potential species as categories
+NULL
+
+#' @rdname reduce.space
+#' @title reduce.space
+#' @description  Having the generative probabilities from step1 (generative.prob() or generative.prob.nucl()), we could proceed directly with the PT MCMC to explore the state space. Typically the number of total potential species is large. Therefore we reduce the size of the state-space, by decreasing the number of species to the low hundreds. We achieve this by fitting a  Mixture Model with as many categories as  all the potential species. Post fitting, we retain only the species catego [...]
+#' @param step1 list. The output from generative.prob() (or generative.prob.nucl(), that is the first step of the pipeline. Alternatively, it can be a character string containing the path name of the ".RData" file where step1 list was saved.
+#' @param read.cutoff  numeric vector. This is the used to decide which species to retain for the subsequent MCMC exploration. Default value is 1, i.e keep all species that have at least one read assigned to them. If this number is still in the low thousands as opposed to the low hundreds the user may set this to a higher number, such as 10.
+#' @param EMiter  Number of iterations for the EM algorithm. Default value is 500.
+#' @param seed Optional argument that sets the random seed (default is 1) to make results reproducible.
+#' @return step2: A list with six elements. The first one (ordered.species) is a data.frame containing all the non-empty species categories, as decided by the all inclusive mixture model, ordered by the number of reads assigned to them. The second one (pij.sparse.mat) is a sparse matrix with the generative probability between each read and each species. read.weights, gen.prob.unknown, outDir are all carried forward from the "step1" object. Finally outputEM which records the species abund [...]
+#' @keywords reduce.space
+#' @export reduce.space
+#' @import Matrix data.table
+#' @importFrom gtools rdirichlet
+#' @examples
+#' ## See vignette for more details.
+#'
+#' \dontrun{
+#' # Either load the object created by previous step
+#' data(step1)  ## example output of step1, i.e generative.prob()
+#' step2 <- reduce.space(step1=step1)
+#'
+#' # or alternatively point to the location of the step1.RData object
+#' step2 <- reduce.space(step1="/pathtoFile/step1.RData")
+#' }
+######################################################################################################################
+
+reduce.space = function(step1, read.cutoff=1, EMiter=500, seed=1){
+
+  if (is.character(step1)) {     
+    load(step1)
+  }
+  
+  should.be.in.the.list <- c("pij.sparse.mat", "ordered.species", "read.weights", "outDir", "gen.prob.unknown")
+
+  if (sum (!( should.be.in.the.list %in% names(step1)) ) > 0) {
+    message('Missing the following arguments')
+    print(names(step1)[!(should.be.in.the.list %in% names(step1))] )
+    stop()    
+  }  else {
+
+    reduce.space.wrapped = function(pij.sparse.mat=step1$pij.sparse.mat, ordered.species=step1$ordered.species, read.weights=step1$read.weights, outDir=step1$outDir, gen.prob.unknown=step1$gen.prob.unknown, read.cutoff.internal=read.cutoff, EMiter.internal=EMiter, seed.internal=seed){
+
+      set.seed(seed.internal);
+      tentative.species<-colnames(pij.sparse.mat)
+      noSpecies<-length(tentative.species)
+
+      hyperP<-rep(1, noSpecies)
+      startW<-rdirichlet(1, hyperP)
+  
+      outputEM<-EM(pij = pij.sparse.mat, iter = EMiter.internal, species = tentative.species, abund = startW, readWeights = read.weights)  ### EM function
+
+      message("EM done")
+    
+      approxSpecies0<-names(which(round(colMeans(outputEM$abundances[EMiter.internal,])*sum(read.weights[,"weight"]))>0))
+      approxSpecies0<-approxSpecies0[-1]
+
+      approxPij<-pij.sparse.mat[, approxSpecies0]
+      
+      approxSpecies.with.counts<-round(colMeans(outputEM$abundances[EMiter.internal,2:length(colnames(outputEM$abundances))])*sum(read.weights[,"weight"]))
+      ordered.approx.species<-cbind(approxSpecies.with.counts, approxSpecies.with.counts/sum(approxSpecies.with.counts))
+      colnames(ordered.approx.species)<-c( "countReads", "samplingWeight")
+      ordered.approx.species<-  data.frame("taxonID"=rownames(ordered.approx.species), ordered.approx.species, stringsAsFactors=FALSE)
+      ordered.species<-ordered.approx.species[order(-ordered.approx.species[,2]) , ]                      #### order them by read count
+      ordered.species<-ordered.species[which(ordered.species$countReads>=read.cutoff.internal),]    ###potential species are the ones that have at least one read assigned to them 
+
+      if (!("unknown" %in% ordered.species$taxonID)==T){ordered.species<-rbind(ordered.species, c("unknown", 0, 0))}
+      ordered.species$countReads<- as.numeric(ordered.species$countReads)
+      ordered.species$samplingWeight<- as.numeric(ordered.species$samplingWeight)
+  
+      ordered.species<- ordered.species[-which(ordered.species$taxonID=="unknown"),]
+      
+      approxSpecies<-ordered.species$taxonID
+      pij.sparse.mat<-pij.sparse.mat[,approxSpecies]
+
+
+## ###Flattening the sampling probabilities
+      percentiles<-quantile(ordered.species$samplingWeight,  probs=c(0.2, 0.8))
+      ordered.species$samplingWeight[which(ordered.species$samplingWeight  >= percentiles["80%"])] <- percentiles["80%"]
+      ordered.species$samplingWeight[which(ordered.species$samplingWeight  <= percentiles["20%"])] <- percentiles["20%"]
+
+
+### remove objects
+      step2<-list("outputEM"=outputEM,  "pij.sparse.mat"=pij.sparse.mat,  "ordered.species"=ordered.species, "read.weights"=read.weights, "outDir"=outDir, "gen.prob.unknown"=gen.prob.unknown)
+
+      if (!is.null(outDir)) {
+        step2.name <- paste(outDir, "/step2.RData", sep = "")
+        save(step2, file=step2.name)
+        rm(list= ls()[!ls() %in% c("step2")])
+        gc()
+      } else {
+        rm(list= ls()[!ls() %in% c("step2")])
+        gc()
+      }
+
+    
+      return(step2)
+    }
+    reduce.space.wrapped()
+  }
+  
+}
+
+#' @rdname reduce.space
+#' @title reduce.space.explicit
+#' @description  reduce.space.explicit is the same function as reduce.space but with more involved syntax.
+#' @param pij.sparse.mat  sparse Matrix of generative probabilities computed by generative.prob() /  generative.prob.nucl().
+#' @param ordered.species  data.frame with potential species ordered by numbers of reads matching them. Computed by generative.prob().  
+#' @param read.weights  data.frame mapping each read identifier to a weight. For contigs the weight is the number of reads that were used to assemble it. For unassembled reads the weight is equal to one. 
+#' @param outDir character vector holding the path to the output directory where the results are written. 
+#' @param gen.prob.unknown numeric vector. This is the generative probability for the unknown category. Default value for BLASTx-analysis is 1e-06 while for BLASTn-analysis is 1e-20.
+#' @keywords reduce.space.explicit
+#' @export reduce.space.explicit
+#' @import Matrix data.table
+#' @importFrom gtools rdirichlet
+##############################################################################################################################################################)
+
+reduce.space.explicit = function(pij.sparse.mat, ordered.species, read.weights, outDir, gen.prob.unknown, read.cutoff=1, EMiter=500, seed=1){
+
+  set.seed(seed);
+  tentative.species<-colnames(pij.sparse.mat)
+  noSpecies<-length(tentative.species)
+
+  hyperP<-rep(1, noSpecies)
+  startW<-rdirichlet(1, hyperP)
+  
+  outputEM<-EM(pij = pij.sparse.mat, iter = EMiter, species = tentative.species, abund = startW, readWeights = read.weights)  ### EM function
+
+  message("EM done")
+  
+  approxSpecies0<-names(which(round(colMeans(outputEM$abundances[EMiter,])*sum(read.weights[,"weight"]))>0))
+  approxSpecies0<-approxSpecies0[-1]
+
+  approxPij<-pij.sparse.mat[, approxSpecies0]
+
+  approxSpecies.with.counts<-round(colMeans(outputEM$abundances[EMiter,2:length(colnames(outputEM$abundances))])*sum(read.weights[,"weight"]))
+  ordered.approx.species<-cbind(approxSpecies.with.counts, approxSpecies.with.counts/sum(approxSpecies.with.counts))
+  colnames(ordered.approx.species)<-c( "countReads", "samplingWeight")
+  ordered.approx.species<-  data.frame("taxonID"=rownames(ordered.approx.species), ordered.approx.species, stringsAsFactors=FALSE)
+  ordered.species<-ordered.approx.species[order(-ordered.approx.species[,2]) , ]                      #### order them by read count
+  ordered.species<-ordered.species[which(ordered.species$countReads>=read.cutoff),]    ###potential species are the ones that have at least one read assigned to them 
+
+  if (!("unknown" %in% ordered.species$taxonID)==T){ordered.species<-rbind(ordered.species, c("unknown", 0, 0))}
+  ordered.species$countReads<- as.numeric(ordered.species$countReads)
+  ordered.species$samplingWeight<- as.numeric(ordered.species$samplingWeight)
+  
+  ordered.species<- ordered.species[-which(ordered.species$taxonID=="unknown"),]
+  
+  approxSpecies<-ordered.species$taxonID
+  pij.sparse.mat<-pij.sparse.mat[,approxSpecies]
+
+
+## ###Flattening the sampling probabilities
+  percentiles<-quantile(ordered.species$samplingWeight,  probs=c(0.2, 0.8))
+  ordered.species$samplingWeight[which(ordered.species$samplingWeight  >= percentiles["80%"])] <- percentiles["80%"]
+  ordered.species$samplingWeight[which(ordered.species$samplingWeight  <= percentiles["20%"])] <- percentiles["20%"]
+
+
+### remove objects
+  step2<-list("outputEM"=outputEM,  "pij.sparse.mat"=pij.sparse.mat,  "ordered.species"=ordered.species, "read.weights"=read.weights, "outDir"=outDir, "gen.prob.unknown"=gen.prob.unknown)
+
+  if (!is.null(outDir)) {
+    step2.name <- paste(outDir, "/step2.RData", sep = "")
+    save(step2, file=step2.name)
+    rm(list= ls()[!ls() %in% c("step2")])
+    gc()
+  } else {
+    rm(list= ls()[!ls() %in% c("step2")])
+    gc()
+  }
+
+    
+  return(step2)
+}
+
diff --git a/R/step3_parallelTemper.R b/R/step3_parallelTemper.R
new file mode 100644
index 0000000..d5f6875
--- /dev/null
+++ b/R/step3_parallelTemper.R
@@ -0,0 +1,920 @@
+################################################ Perform Parallel Tempering MCMC ###############################################
+#' @name parallel.temper
+#' @title Parallel Tempering MCMC
+NULL
+#' @rdname parallel.temper
+#' @title parallel.temper
+#' @description Performs Parallel Tempering MCMC to explore the species state space. Two types of moves are implemented: a mutation step (within chain) and an exchange step (between neighboring chains).  If working with BLASTn data, use parallel.temper.nucl().
+#' @param readSupport The number of reads the user requires in order to believe in the presence of the species. It is used to compute the penalty factor. The default value is 10. We compute the logarithmic penalty value as the log-likelihood difference between two models: one where all N reads belong to the "unknown"  category and one where r reads have a perfect match to some unspecified species and the remaining reads belong to the "unknown"  category.  
+#' @param noChains The number of parallel chains to run. The default value is 12.
+#' @param seed Optional argument that sets the random seed (default is 1) to make results reproducible.
+#' @param step2 list. The output from reduce.space(). Alternatively, it can be a character string containing the path name of the ".RData" file  where step2 list was saved.
+#' @return step3: A list with two elements. The first one (result) is a list that records MCMC information from each parallel chain.  The second one (duration) records how much time the MCMC exploration took.
+#' @seealso  \code{\link{parallel.temper.nucl}} This function should be used when working with BLASTn data.
+#' @keywords parallel.temper
+#' @export parallel.temper
+#' @import Rmpi Matrix
+#' @importFrom gtools rdirichlet
+#' @examples
+#' ## See vignette for more details
+#'
+#' \dontrun{
+#' # Either load the object created by previous step (i.e from function reduce.space() )
+#' data(step2)   ## example output of reduce.space
+#' step3<-parallel.temper(step2=step2)
+#'
+#' # or alternatively point to the location of the step2.RData object
+#' step3 <- parallel.temper(step2="/pathtoFile/step2.RData")
+#' }
+######################################################################################################################
+parallel.temper = function(step2, readSupport=10, noChains=12, seed=1){
+
+  if (is.character(step2)) {
+    load(step2)
+  }
+  
+
+  should.be.in.the.list <- c("pij.sparse.mat", "ordered.species", "read.weights", "outDir", "gen.prob.unknown")
+
+  if (sum (!( should.be.in.the.list %in% names(step2)) ) > 0) {
+    message('Missing the following arguments')
+    print(names(step2)[!(should.be.in.the.list %in% names(step2))] )
+    stop()
+  }  else {
+    
+    parallel.temper.wrapped<-function(readSupport.internal=readSupport, noChains.internal=noChains, pij.sparse.mat=step2$pij.sparse.mat, read.weights=step2$read.weights, ordered.species=step2$ordered.species, gen.prob.unknown=step2$gen.prob.unknown, outDir=step2$outDir, seed.internal=seed){
+
+      set.seed(seed.internal);
+                                        #print(warnings())
+      StartTime<-Sys.time()
+      
+      sieve <- function(n) {
+        n <- as.integer(n)
+        if(n > 1e6) stop("n too large")
+        primes <- rep(TRUE, n)
+        primes[1] <- FALSE
+        last.prime <- 2L
+        for(i in last.prime:floor(sqrt(n)))
+          {
+            primes[seq.int(2L*last.prime, n, last.prime)] <- FALSE
+            last.prime <- last.prime + min(which(primes[(last.prime+1):n]))
+          }
+        which(primes)
+      }
+
+      list.integers <- sieve(1000)
+      
+      node.ids <- list.integers[ 1:noChains.internal ]
+      mpi.spawn.Rslaves(nslaves = noChains.internal)  #number of slaves to spawn, should be equal to individual chains
+
+# In case R exits unexpectedly, have it automatically clean up
+# resources taken up by Rmpi (slaves, memory, etc...)
+      .Last <- function(){
+        if (is.loaded("mpi_initialize")){
+          if (mpi.comm.size(1) > 0){
+            print("Please use mpi.close.Rslaves() to close slaves.")
+            mpi.close.Rslaves()
+          }
+          print("Please use mpi.quit() to quit R")
+          .Call("mpi_finalize", PACKAGE='metaMix')
+        }
+      }
+
+
+
+      pij.sparse.mat<-cBind(pij.sparse.mat, "unknown"=gen.prob.unknown)
+
+#rm(step2)
+      gc()
+
+      allSpecies<-ordered.species[,c("taxonID", "samplingWeight")]
+      lenSp<-nrow(allSpecies)
+
+      lpenalty<-computePenalty(readSupport=readSupport.internal, readWeights=read.weights, pUnknown=gen.prob.unknown)  ### penalty for accepting a new species ~ Use pij for the r readSupport perfect reads (=1/median(protein length)). Likelihood jump for 10 reads moving from unknown bin (pij=gen.prob.unknown, default 1e-10) to species (1/1500).
+
+### EMiter
+      EMiter<-10
+
+### PT parameters
+      exchangeInterval<-1                             ###leave chains run in parallel for that many iterations
+      ExternIter<-5*(nrow(ordered.species))                              ### make chains communicate 1 times
+      TotalIter<-exchangeInterval * ExternIter
+
+##Tempering Vector --Power Decay
+      temper<-vector()
+      K<-0.001
+      a<-3/2
+      for (n in 2:noChains.internal){
+        temper[1]<-1
+        temper[n]<-(temper[n-1]-K)^a
+      }
+      for (i in 1:noChains.internal) {names(temper)[i]<- paste("slave",i, sep="")}  ###names
+
+### flag for adding /removing species
+      stepAdd<-vector(mode = "logical")
+
+#### broadcast necessary objects/functions to slaves
+      mpi.bcast.Robj2slave(exchangeInterval)
+      mpi.bcast.Robj2slave(ExternIter)
+      mpi.bcast.Robj2slave(TotalIter)
+      mpi.bcast.Robj2slave(list.integers)
+      mpi.bcast.Robj2slave(node.ids)
+      mpi.bcast.Robj2slave(ordered.species)
+      mpi.bcast.Robj2slave(read.weights)
+      mpi.bcast.Robj2slave(pij.sparse.mat)
+      mpi.bcast.Robj2slave(lpenalty)
+      mpi.bcast.Robj2slave(EM)
+      mpi.bcast.Robj2slave(allSpecies)
+      mpi.bcast.Robj2slave(lenSp)
+      mpi.bcast.Robj2slave(EMiter)
+      mpi.bcast.Robj2slave(noChains.internal)
+      mpi.bcast.Robj2slave(temper)
+      mpi.bcast.Robj2slave(gen.prob.unknown)
+##########################---------------------------------------SINGLE CHAIN FUNCTION -----------------------------------------------------------------------------------------------#######################
+      singleChain <- function(TotalIter, exchangeInterval){
+
+        if (file.exists('~/.Rprofile')) source('~/.Rprofile')
+        print(.libPaths())
+  
+       
+        ind <- mpi.comm.rank()   # Each slave gets its own copy of ind and chain based on mpi process rank
+        print(ind)
+
+        estimNew<-matrix(0, nrow=TotalIter, ncol=1)   ### Create matrix that will hold the estimator of the log-likelihood
+        estimNew[1,]<- sum(read.weights[,"weight"])*log(gen.prob.unknown)*temper[ind]  
+        print(estimNew[1,])
+  
+        presentSpecies<-"unknown"   ## create object that receives the species deemed as present, from previous (swapInterv*j) iteration.
+        abundUsedSp<-c("unknown"=1)
+  
+  ### Create 2 lists. One that holds species names and one with their abundances. Each list has 2 elements. Element1: present species  and Element2: tentative species being explored in current iteration.
+        speciestoUse<-list("presentSp"=presentSpecies, "tentativeSp"=NULL)
+        abundUsedSpecies<-list("presentSp"= abundUsedSp, "tentativeSp"=NULL)
+  
+        message("\nThis is the temperature for this slave")
+        print(temper[ind])
+  
+### create matrix to hold info on which species was added or removed, which species were present and logL , through iterations
+        record<-matrix(0, ncol=(5+lenSp), nrow=(TotalIter))
+        record<-as.data.frame(record)
+        colnames(record)<-c("Iter", "Move", "Candidate Species", allSpecies[,1],  "unknown", "logL")
+        record[,1]=1:(TotalIter)
+        record[1, presentSpecies]<-1
+        record[1,(5+lenSp)]<-estimNew[1,]             ###last colum is logL
+  
+        swaps.attempted<-0
+        swaps.accepted<-0
+        oddFlag<-0
+
+################ ----------------------------------- Begin MCMC (within single chain)  ------------------------------------------------------------------------------------------############  
+        for (i in  2:TotalIter)  {    
+          cat('\n',i,'\n')                                 ### temporary - debugging purposes
+
+#### Create 3 functions to use repeatedly in adding/removing species steps.
+######################### 1a. For add step:  species  I sample my candidate species from.
+          potentialSpecies<-function() {                    
+            toChooseFrom <-  allSpecies[,1][!(allSpecies[,1] %in% speciestoUse[[1]])]   ### Species remaining after omitting "present species"
+            toChooseFrom<-as.character(toChooseFrom)
+            potentialSp<- allSpecies[allSpecies$taxonID %in% toChooseFrom,]
+            resultPS<-list("potentialSp"=potentialSp, "toChooseFrom"=toChooseFrom)
+            return(resultPS)
+          }
+
+    ######################## 1b. For add step, sample candidate organism to add and create object for tentative species
+          moveAdd<-function() {
+            randSp <- sample(as.character(potentialSp[,1]),1, prob=potentialSp[,2])   ### choose random species, weights need not sum to one. Here weights are based on intial read counts.         
+            cat('Add species', randSp, '\n')                     ### temporary - debugging purposes
+            speciestoUse[[2]]<-c(randSp, speciestoUse[[1]])      ### tentative present species, to use in Gibbs below.
+            record[i, 2]<- "Add"                     ### record info on species we are adding
+            record[i,3]<- randSp
+
+            result<-list("record"=record, "speciestoUse"=speciestoUse)      
+            return(result)
+          }
+
+    ######################## 2. For remove step, sample candidate organism to remove and create object for tentative species
+          moveRemove<-function() {
+            toremoveFrom <- speciestoUse[[1]][!(speciestoUse[[1]]%in%"unknown")]         ### species set from which to remove (i.e present ones bar unknown)
+            toremoveFrom<-as.character(toremoveFrom)          
+            removeProb<-(1/abundUsedSpecies[[1]][toremoveFrom])/sum(1/abundUsedSpecies[[1]][toremoveFrom])       ###### sampling weight inversely proportional to assigned read counts.
+     ###Flatten removal probabilities
+            percentiles<-quantile(removeProb,  probs=c(0.2, 0.8))
+            removeProb[which(removeProb  >= percentiles["80%"])] <- percentiles["80%"]
+            removeProb[which(removeProb  <= percentiles["20%"])] <- percentiles["20%"]
+
+    ### sample candidate species to remove
+            randSp<-sample(toremoveFrom, 1, prob=removeProb )   ### weights need not sum to one
+            cat('Remove species', randSp, '\n')                 ### temporary - debugging purposes
+            speciestoUse[[2]] <- speciestoUse[[1]][!(speciestoUse[[1]] %in% randSp)]    ### tentative present species, to use in Gibbs below.
+            record[i, 2]<- "Remove"                     ### record info on species we are adding
+            record[i,3]<- randSp
+            result<-list("record"=record, "speciestoUse"=speciestoUse)      
+            return(result)
+          }
+
+          addStep <-0.5      ####proability of doing add step
+    
+              ######################################################## Add species ########################################      
+          if (runif(1)<= addStep) {                             
+            resultPS<-potentialSpecies()
+            potentialSp<-as.data.frame(resultPS$potentialSp)
+            toChooseFrom<-as.character(resultPS$toChooseFrom)
+            
+            if (length(toChooseFrom) != 0L){  
+              result<-moveAdd()
+              speciestoUse<-result$speciestoUse
+              record<-result$record
+                
+            } else {                                 ################## ### If pool of species to add empty, go to remove step  
+              message("No more species to choose from, all are kept as present.")
+              result<-moveRemove()
+              speciestoUse<-result$speciestoUse
+              record<-result$record        
+              addStep<-0             ### so do remove step with prob=1
+            }  
+
+          }  ###close if runif(1)<=addStep
+
+      
+          else {    ################################################### Remove species #################################################
+            toremoveFrom <- speciestoUse[[1]][!(speciestoUse[[1]]%in%"unknown")]         ### species set from which to remove (i.e present ones bar unknown)
+            toremoveFrom<-as.character(toremoveFrom)
+
+         #### First check that more than 1 species are present, so don't risk of remaining only with X bin and wasting iteration.
+            if (length(toremoveFrom) > 1) {
+              result<-moveRemove()
+              speciestoUse<-result$speciestoUse
+              record<-result$record        
+        
+            }  else if  (length(speciestoUse[[1]])==1) {                         #### speciestoUse[[1]]==1 when only unknown bin is there / We can only add
+              message("We cannot remove, we only have unknown bin")
+              potentialSp<-allSpecies
+              result<-moveAdd()
+              speciestoUse<-result$speciestoUse
+              record<-result$record        
+              addStep <- 1        ### so do add step with prob=1
+        
+            } else {                                                ### we are adding species instead. Removing would leave us just with X-bin again.
+              message("\nCannot remove a species, so instead we add\n")   ### temporary
+              resultPS<-potentialSpecies()
+              potentialSp<-as.data.frame(resultPS$potentialSp)
+              toChooseFrom<-as.character(resultPS$toChooseFrom)          
+              result<-moveAdd()
+              speciestoUse<-result$speciestoUse
+              record<-result$record        
+              addStep <- 1        
+            }        
+          } ###close else (remove species)
+
+
+          noSpecies<-length(speciestoUse[[2]])
+          print(noSpecies)
+          hyperP<-rep(1, noSpecies)
+          startW<-rdirichlet(1, hyperP)
+          
+          output100Tent<-EM(pij=pij.sparse.mat, iter=EMiter, species=speciestoUse[[2]], abund=startW, readWeights = read.weights)  ### EM function
+          
+          estimator <- output100Tent$logL[EMiter,2] + (noSpecies * lpenalty) #### penalise likelihood                                  
+          
+          message("EM took: ", output100Tent$RunningTime)       
+          mean1<-as.numeric(output100Tent$abundances[EMiter,2:(noSpecies+1)])
+          names(mean1)<-names(output100Tent$abundances[EMiter,2:(noSpecies+1)])                        
+          abundUsedSpecies[[2]]<-mean1
+          
+          estimNew[i,]<-estimator*temper[ind]                          ###tempered likelihood
+          message('\n', estimNew[i,] , ' ',  estimNew[i-1,])           ### temporary print - which values am I comparing?
+    
+    ####### flag of adding/removing
+          if (record[i,2]=="Add") {
+            stepAdd<-TRUE
+          } else {stepAdd<-FALSE}
+
+          removeStep <- 1 - addStep    ##remove step
+
+
+          if (stepAdd) {
+
+            candidateAdd<-allSpecies[allSpecies[,1]==(as.character(record[i,3])),2]
+            removeProba<-(1/abundUsedSpecies[[2]])/sum(1/abundUsedSpecies[[2]])       ###### sampling weight inversely proportional to size. Tentative Species
+
+###Flattening the sampling probabilities
+            percentiles<-quantile(removeProba,  probs=c(0.2, 0.8))
+            removeProba[which(removeProba  >= percentiles["80%"])] <- percentiles["80%"]
+            removeProba[which(removeProba  <= percentiles["20%"])] <- percentiles["20%"]
+            candidateRemove<-removeProba[as.character(record[i,3])]
+            
+            print(candidateRemove) 
+            print(candidateAdd)
+            if (runif(1) < min( 1, exp(estimNew[i] - estimNew[i-1] + log(removeStep) - log(addStep) + log(candidateRemove) - log(candidateAdd) )))  {     ### accept "add species"  with prob min{1, P(D|i)*P(removeSpecies)*P(remove Specific Species)/P(D|i-1)*P(addSpecies)*P(add specific species) 
+
+        ######## Accept move #######
+              estimNew[i,]<-estimNew[i,]                                  ### if move is accepted, record new logL
+              speciestoUse[[1]]<-speciestoUse[[2]]                        ### if move is accepted, tentative species becomes present species.
+              abundUsedSpecies[[1]]<-abundUsedSpecies[[2]]                        ###       -->>-->>--   , abundances of new set of species are kept  
+              cat('Present species become:', speciestoUse[[1]], '\n')
+
+            }  else {                                                    ######### Reject Move ########
+              estimNew[i,]<-estimNew[i-1,]                               ### if move is rejected, record previous logL
+              speciestoUse[[1]]<-speciestoUse[[1]]                       ### if move is rejected, keep present species as it is.
+              abundUsedSpecies[[1]]<-abundUsedSpecies[[1]]
+              cat('Present species remain:', speciestoUse[[1]], '\n')    ### temporary
+            }
+
+          }    ### close  if(stepAdd==TRUE)
+
+    
+          else {   ########################################  type of move was to remove species   ##############
+            removeProba<-(1/abundUsedSpecies[[1]])/sum(1/abundUsedSpecies[[1]])   ###### sampling weight inversely proportional to size. Do this for present Species
+            candidateRemove<-removeProba[as.character(record[i,3])]
+            candidateAdd<-allSpecies[allSpecies[,1]==(as.character(record[i,3])),2]
+            
+      
+            if (runif(1) < min( 1, exp(estimNew[i] - estimNew[i-1] + log(addStep) - log(removeStep) + log(candidateAdd) - log(candidateRemove) ))) {############# Accept "remove species"        
+              estimNew[i,]<-estimNew[i,]
+              speciestoUse[[1]]<-speciestoUse[[2]]                       ### tentative species becomes present species.
+              abundUsedSpecies[[1]]<-abundUsedSpecies[[2]]
+              cat('Present species become:', speciestoUse[[1]], '\n')    
+        
+            }  else {                                                    ######## Reject Move ###########
+              estimNew[i,]<-estimNew[i-1,]
+              speciestoUse[[1]]<-speciestoUse[[1]]
+              abundUsedSpecies[[1]]<-abundUsedSpecies[[1]]
+              cat('Present species remain:', speciestoUse[[1]], '\n')          
+            }
+
+          }   ###close else (i.e (stepAdd==FALSE))
+    
+#################################edw tha kanw attempt to direct swap between slaves, without going through master
+       
+          if( i%%exchangeInterval == 0 ){   ### every nth (2nd for now) iteration
+            message("\n\nTime to attempt an exchange")      
+            oddFlag<-oddFlag+1
+            swap<-0
+            estim.current<-estimNew[i,]/temper[ind]    ######### need untempered logL
+            
+      
+########################################### CREATE prime tags for object to send around
+            allowedLength<-175
+            Nsubobjects<-round(length(abundUsedSpecies[[1]])/allowedLength)+1
+            object.ids <- list.integers[ (noChains.internal+1):(noChains.internal + 4 + Nsubobjects) ]    ### 4 objcts for logL, swap message, untempered , species PLUS as many as necessary for abundances            
+            
+            if (ind%%2 == oddFlag%%2) {  ###when oddFlag zero , the following code concerns even-numbered slaves. For oddFlag 1, it concerns odd-numbered slaves.                 
+              ind.partner<-ind+1
+
+              if (0<ind.partner && ind.partner<(noChains.internal+1)){           
+                estim.partner<-mpi.recv.Robj(ind.partner, tag=object.ids[1]*node.ids[ind.partner])  #### receive the logdensity of above  partner
+                message("I received the untempered: ", estim.partner)
+                swaps.attempted<-swaps.attempted+1          
+                lalpha<-(estim.partner - estim.current)*(temper[ind] - temper[ind.partner] )
+                message("This is the acceptance probability: ", min(1,exp(lalpha)))
+          
+                if (runif(1)< min(1, exp(lalpha))) {    ############# exp((chain2 - chain1)*(T1 - T2))
+                  message("I exchanged the values")               
+                  swap<-1         
+                }   ## end of if runif(1)<lalpha M-H step
+
+                else {message("I didn't exchange the values")}
+                
+                mpi.send.Robj(obj=swap,dest=ind.partner,tag=object.ids[2]*node.ids[ind])
+                message("I send message swap: ", swap)
+              }     ### end of   if (0<ind.partner && ind.partner<(noChains.internal+1)){          
+
+              if(swap==1){
+                swaps.accepted<-swaps.accepted+1
+
+                mpi.send.Robj(obj=estim.current,dest=ind.partner,tag=object.ids[3]*node.ids[ind])
+                message("I just sent the untempered: ", estim.current)
+                species.swap<-speciestoUse[[1]]
+                mpi.send.Robj(species.swap,dest=ind.partner,tag=object.ids[4]*node.ids[ind])
+                speciestoUse[[1]]<-mpi.recv.Robj(ind.partner,tag=object.ids[4]*node.ids[ind.partner])
+          
+                abund.swap<-abundUsedSpecies[[1]]
+                mpi.send.Robj(abund.swap,dest=ind.partner,tag=object.ids[5]*node.ids[ind])
+                abundUsedSpecies[[1]]<-mpi.recv.Robj(ind.partner,tag=object.ids[5]*node.ids[ind.partner])
+          
+
+                message("I received the following abundances from: ", ind.partner, " here ", ind)
+                message("The new logdensity will be the one of the neighbor but tempered with my temperature: ", estim.partner*temper[ind])
+                estimNew[i,]<-estim.partner * temper[ind]
+              }     ### end of if(swap==1)         
+        
+            } else {  ##### ###when oddFlag zero , the following code concerns odd-numbered slaves. For oddFlag 1, it concerns even-numbered slaves. I.e say what partners should do
+              ind.partner<-ind-1;           
+              if(0<ind.partner && ind.partner<(noChains.internal+1)){
+                mpi.send.Robj(obj=estim.current,dest=ind.partner,tag=object.ids[1]*node.ids[ind])
+                message("I just sent the untempered: ", estim.current)
+                swap<-mpi.recv.Robj(ind.partner,tag=object.ids[2]*node.ids[ind.partner])
+                message("I received the swap message: ", swap)
+                swaps.attempted<-swaps.attempted+1
+        }  ####end of  if(0<ind.partner && ind.partner<(noChains.internal+1)){
+          
+                  
+              if(swap==1){
+                swaps.accepted<-swaps.accepted+1
+                estim.partner<-mpi.recv.Robj(ind.partner, tag=object.ids[3]*node.ids[ind.partner] )  #### receive the logdensity of above  partner
+                message("I received the untempered: ", estim.partner)
+
+                species.swap<-speciestoUse[[1]]        
+                
+                speciestoUse[[1]]<-mpi.recv.Robj(ind.partner,tag=object.ids[4]*node.ids[ind.partner])           
+                mpi.send.Robj(species.swap,dest=ind.partner,tag=object.ids[4]*node.ids[ind])
+          
+                abund.swap<-abundUsedSpecies[[1]]
+                abundUsedSpecies[[1]]<-mpi.recv.Robj(ind.partner,tag=object.ids[5]*node.ids[ind.partner])
+                mpi.send.Robj(abund.swap,dest=ind.partner,tag=object.ids[5]*node.ids[ind])
+                    
+                message("I received the following species from: ", ind.partner, " here ", ind)
+                message("The new logdensity will be the one of the neighbor but tempered with my temperature: ", estim.partner*temper[ind])
+                estimNew[i,]<-estim.partner * temper[ind]          
+              }
+            }
+          }
+
+############ Use indicator variable for species presence per iteration
+          record[i, speciestoUse[[1]]]<-ifelse(speciestoUse[[1]] %in% colnames(record), 1, 0)
+          record[i,(5+lenSp)]<-estimNew[i,]             ###last colum is logL
+    
+        }    ###end of for loop for internal iterations
+  
+        resultSC<-list("estimNew"=estimNew, "record"=record, "usedSp"=speciestoUse[[1]], "abundUsedSp" = abundUsedSpecies[[1]], "swaps.attempt"=swaps.attempted, "swaps.accept"=swaps.accepted, "readSupport"=readSupport.internal, "lpenalty"=lpenalty)
+        return(resultSC)  
+   
+      }    ##end of singleChain function
+
+
+##########################################----------------------- MAIN ---------------------------
+###send function to slaves
+      mpi.bcast.Robj2slave(singleChain)
+
+### Now call the single chain function
+      message('Start parallel tempering')
+      result<-mpi.remote.exec(singleChain(TotalIter, exchangeInterval))
+      EndTime<-Sys.time()
+      duration<-EndTime-StartTime
+      message('PT finished in ', duration, ". ", nrow(ordered.species), " species were explored in ", ExternIter, "x", noChains.internal, " iterations.")
+      
+      step3<-list("result"=result, "duration"=duration)
+      
+      if (!is.null(outDir)) {
+        step3.name <- paste(outDir, "/step3.RData", sep = "")
+        save(step3, file=step3.name)
+        rm(list= ls()[!ls() %in% c("step3")])
+        gc()    
+      } else {
+        rm(list= ls()[!ls() %in% c("step3")])
+        gc()
+      }
+
+  
+      mpi.close.Rslaves(dellog=FALSE)
+   #   mpi.quit()
+
+      return(step3)
+    }
+    parallel.temper.wrapped()
+  }
+
+}
+
+#' @rdname parallel.temper
+#' @title parallel.temper.explicit
+#' @description  parallel.temper.explicit is the same function as parallel.temper but with a more involved syntax. 
+#' @param pij.sparse.mat sparse matrix of generative probabilities, see value of ?reduce.space. 
+#' @param read.weights   see ?reduce.space.
+#' @param ordered.species see ?reduce.space.
+#' @param gen.prob.unknown  see ?reduce.space.
+#' @param outDir see ?reduce.space.
+#' @keywords parallel.temper.explicit
+#' @export parallel.temper.explicit
+#' @import Rmpi Matrix
+#' @importFrom gtools rdirichlet
+
+parallel.temper.explicit<-function(readSupport=10, noChains=12, pij.sparse.mat, read.weights, ordered.species, gen.prob.unknown, outDir, seed = 1){
+
+  set.seed(seed);
+#print(warnings())
+StartTime<-Sys.time()
+
+sieve <- function(n) {
+  n <- as.integer(n)
+  if(n > 1e6) stop("n too large")
+  primes <- rep(TRUE, n)
+  primes[1] <- FALSE
+  last.prime <- 2L
+  for(i in last.prime:floor(sqrt(n)))
+    {
+      primes[seq.int(2L*last.prime, n, last.prime)] <- FALSE
+      last.prime <- last.prime + min(which(primes[(last.prime+1):n]))
+    }
+          which(primes)
+}
+
+list.integers <- sieve(1000)
+
+node.ids <- list.integers[ 1:noChains ]
+mpi.spawn.Rslaves(nslaves = noChains)  #number of slaves to spawn, should be equal to individual chains
+
+# In case R exits unexpectedly, have it automatically clean up
+# resources taken up by Rmpi (slaves, memory, etc...)
+.Last <- function(){
+  if (is.loaded("mpi_initialize")){
+    if (mpi.comm.size(1) > 0){
+      print("Please use mpi.close.Rslaves() to close slaves.")
+      mpi.close.Rslaves()
+    }
+    print("Please use mpi.quit() to quit R")
+    .Call("mpi_finalize", PACKAGE='metaMix')
+  }
+}
+
+
+
+pij.sparse.mat<-cBind(pij.sparse.mat, "unknown"=gen.prob.unknown)
+
+#rm(step2)
+gc()
+
+allSpecies<-ordered.species[,c("taxonID", "samplingWeight")]
+lenSp<-nrow(allSpecies)
+
+lpenalty<-computePenalty(readSupport=readSupport, readWeights=read.weights, pUnknown=gen.prob.unknown)  ### penalty for accepting a new species 
+
+### EMiter
+EMiter<-10
+
+### PT parameters
+exchangeInterval<-1                             ###leave chains run in parallel for that many iterations before attempting exchange
+ExternIter<-5*(nrow(ordered.species))                              ### make chains communicate 1 times
+TotalIter<-exchangeInterval * ExternIter
+
+##Tempering Vector --Power Decay
+temper<-vector()
+K<-0.001
+a<-3/2
+for (n in 2:noChains){
+  temper[1]<-1
+  temper[n]<-(temper[n-1]-K)^a
+}
+for (i in 1:noChains) {names(temper)[i]<- paste("slave",i, sep="")}  ###names
+
+### flag for adding /removing species
+stepAdd<-vector(mode = "logical")
+
+#### broadcast necessary objects/functions to slaves
+mpi.bcast.Robj2slave(exchangeInterval)
+mpi.bcast.Robj2slave(ExternIter)
+mpi.bcast.Robj2slave(TotalIter)
+mpi.bcast.Robj2slave(list.integers)
+mpi.bcast.Robj2slave(node.ids)
+mpi.bcast.Robj2slave(ordered.species)
+mpi.bcast.Robj2slave(read.weights)
+mpi.bcast.Robj2slave(pij.sparse.mat)
+mpi.bcast.Robj2slave(lpenalty)
+mpi.bcast.Robj2slave(EM)
+mpi.bcast.Robj2slave(allSpecies)
+mpi.bcast.Robj2slave(lenSp)
+mpi.bcast.Robj2slave(EMiter)
+mpi.bcast.Robj2slave(noChains)
+mpi.bcast.Robj2slave(temper)
+mpi.bcast.Robj2slave(gen.prob.unknown)
+##########################---------------------------------------SINGLE CHAIN FUNCTION -----------------------------------------------------------------------------------------------#######################
+singleChain <- function(TotalIter, exchangeInterval){
+
+  if (file.exists('~/.Rprofile')) source('~/.Rprofile')
+  print(.libPaths())
+  
+       
+  ind <- mpi.comm.rank()   # Each slave gets its own copy of ind and chain based on mpi process rank
+  print(ind)
+
+  estimNew<-matrix(0, nrow=TotalIter, ncol=1)   ### Create matrix that will hold the estimator of the log-likelihood
+  estimNew[1,]<- sum(read.weights[,"weight"])*log(gen.prob.unknown)*temper[ind]  
+  print(estimNew[1,])
+  
+  presentSpecies<-"unknown"   ## create object that receives the species deemed as present, from previous (swapInterv*j) iteration.
+  abundUsedSp<-c("unknown"=1)
+
+  ### Create 2 lists. One that holds species names and one with their abundances. Each list has 2 elements. Element1: present species  and Element2: tentative species being explored in current iteration.
+  speciestoUse<-list("presentSp"=presentSpecies, "tentativeSp"=NULL)
+  abundUsedSpecies<-list("presentSp"= abundUsedSp, "tentativeSp"=NULL)
+  
+  message("\nThis is the temperature for this slave")
+  print(temper[ind])
+  
+### create matrix to hold info on which species was added or removed, which species were present and logL , through iterations
+  record<-matrix(0, ncol=(5+lenSp), nrow=(TotalIter))
+  record<-as.data.frame(record)
+  colnames(record)<-c("Iter", "Move", "Candidate Species", allSpecies[,1],  "unknown", "logL")
+  record[,1]=1:(TotalIter)
+  record[1, presentSpecies]<-1
+  record[1,(5+lenSp)]<-estimNew[1,]             ###last colum is logL
+  
+  swaps.attempted<-0
+  swaps.accepted<-0
+  oddFlag<-0
+
+################ ----------------------------------- Begin MCMC (within single chain)  ------------------------------------------------------------------------------------------############  
+  for (i in  2:TotalIter)  {    
+    cat('\n',i,'\n')                                 ### temporary - debugging purposes
+
+#### Create 3 functions to use repeatedly in adding/removing species steps.
+######################### 1a. For add step:  species  I sample my candidate species from.
+    potentialSpecies<-function() {                    
+      toChooseFrom <-  allSpecies[,1][!(allSpecies[,1] %in% speciestoUse[[1]])]   ### Species remaining after omitting "present species"
+      toChooseFrom<-as.character(toChooseFrom)
+      potentialSp<- allSpecies[allSpecies$taxonID %in% toChooseFrom,]
+      resultPS<-list("potentialSp"=potentialSp, "toChooseFrom"=toChooseFrom)
+      return(resultPS)
+    }
+
+    ######################## 1b. For add step, sample candidate organism to add and create object for tentative species
+    moveAdd<-function() {
+      randSp <- sample(as.character(potentialSp[,1]),1, prob=potentialSp[,2])   ### choose random species, weights need not sum to one. Here weights are based on intial read counts.         
+      cat('Add species', randSp, '\n')                     ### temporary - debugging purposes
+      speciestoUse[[2]]<-c(randSp, speciestoUse[[1]])      ### tentative present species, to use in Gibbs below.
+      record[i, 2]<- "Add"                     ### record info on species we are adding
+      record[i,3]<- randSp
+
+      result<-list("record"=record, "speciestoUse"=speciestoUse)      
+      return(result)
+    }
+
+    ######################## 2. For remove step, sample candidate organism to remove and create object for tentative species
+    moveRemove<-function() {
+      toremoveFrom <- speciestoUse[[1]][!(speciestoUse[[1]]%in%"unknown")]         ### species set from which to remove (i.e present ones bar unknown)
+      toremoveFrom<-as.character(toremoveFrom)          
+      removeProb<-(1/abundUsedSpecies[[1]][toremoveFrom])/sum(1/abundUsedSpecies[[1]][toremoveFrom])       ###### sampling weight inversely proportional to assigned read counts.
+     ###Flatten removal probabilities
+      percentiles<-quantile(removeProb,  probs=c(0.2, 0.8))
+      removeProb[which(removeProb  >= percentiles["80%"])] <- percentiles["80%"]
+      removeProb[which(removeProb  <= percentiles["20%"])] <- percentiles["20%"]
+
+    ### sample candidate species to remove
+      randSp<-sample(toremoveFrom, 1, prob=removeProb )   ### weights need not sum to one
+      cat('Remove species', randSp, '\n')                 ### temporary - debugging purposes
+      speciestoUse[[2]] <- speciestoUse[[1]][!(speciestoUse[[1]] %in% randSp)]    ### tentative present species, to use in Gibbs below.
+      record[i, 2]<- "Remove"                     ### record info on species we are adding
+      record[i,3]<- randSp
+      result<-list("record"=record, "speciestoUse"=speciestoUse)      
+      return(result)
+    }
+
+    addStep <-0.5      ####proability of doing add step
+    
+              ######################################################## Add species ########################################      
+    if (runif(1)<= addStep) {                             
+      resultPS<-potentialSpecies()
+      potentialSp<-as.data.frame(resultPS$potentialSp)
+      toChooseFrom<-as.character(resultPS$toChooseFrom)
+      
+      if (length(toChooseFrom) != 0L){  
+        result<-moveAdd()
+        speciestoUse<-result$speciestoUse
+        record<-result$record
+                
+      } else {                                 ################## ### If pool of species to add empty, go to remove step  
+        message("No more species to choose from, all are kept as present.")
+        result<-moveRemove()
+        speciestoUse<-result$speciestoUse
+        record<-result$record        
+        addStep<-0             ### so do remove step with prob=1
+      }  
+
+    }  ###close if runif(1)<=addStep
+
+      
+    else {    ################################################### Remove species #################################################
+      toremoveFrom <- speciestoUse[[1]][!(speciestoUse[[1]]%in%"unknown")]         ### species set from which to remove (i.e present ones bar unknown)
+      toremoveFrom<-as.character(toremoveFrom)
+
+         #### First check that more than 1 species are present, so don't risk of remaining only with X bin and wasting iteration.
+      if (length(toremoveFrom) > 1) {
+        result<-moveRemove()
+        speciestoUse<-result$speciestoUse
+        record<-result$record        
+        
+      }  else if  (length(speciestoUse[[1]])==1) {                         #### speciestoUse[[1]]==1 when only unknown bin is there / We can only add
+        message("We cannot remove, we only have unknown bin")
+        potentialSp<-allSpecies
+        result<-moveAdd()
+        speciestoUse<-result$speciestoUse
+        record<-result$record        
+        addStep <- 1        ### so do add step with prob=1
+        
+      } else {                                                ### we are adding species instead. Removing would leave us just with X-bin again.
+        message("\nCannot remove a species, so instead we add\n")   ### temporary
+        resultPS<-potentialSpecies()
+        potentialSp<-as.data.frame(resultPS$potentialSp)
+        toChooseFrom<-as.character(resultPS$toChooseFrom)          
+        result<-moveAdd()
+        speciestoUse<-result$speciestoUse
+        record<-result$record        
+        addStep <- 1        
+      }        
+    } ###close else (remove species)
+
+
+    noSpecies<-length(speciestoUse[[2]])
+    print(noSpecies)
+    hyperP<-rep(1, noSpecies)
+    startW<-rdirichlet(1, hyperP)
+   
+    output100Tent<-EM(pij=pij.sparse.mat, iter=EMiter, species=speciestoUse[[2]], abund=startW, readWeights = read.weights)  ### EM function
+        
+    estimator <- output100Tent$logL[EMiter,2] + (noSpecies * lpenalty) #### penalise likelihood                                  
+
+    message("EM took: ", output100Tent$RunningTime)       
+    mean1<-as.numeric(output100Tent$abundances[EMiter,2:(noSpecies+1)])
+    names(mean1)<-names(output100Tent$abundances[EMiter,2:(noSpecies+1)])                        
+    abundUsedSpecies[[2]]<-mean1
+
+    estimNew[i,]<-estimator*temper[ind]                          ###tempered likelihood
+    message('\n', estimNew[i,] , ' ',  estimNew[i-1,])           ### temporary print - which values am I comparing?
+    
+    ####### flag of adding/removing
+    if (record[i,2]=="Add") {
+      stepAdd<-TRUE
+    } else {stepAdd<-FALSE}
+
+    removeStep <- 1 - addStep    ##remove step
+
+
+    if (stepAdd) {
+
+      candidateAdd<-allSpecies[allSpecies[,1]==(as.character(record[i,3])),2]
+      removeProba<-(1/abundUsedSpecies[[2]])/sum(1/abundUsedSpecies[[2]])       ###### sampling weight inversely proportional to size. Tentative Species
+
+###Flattening the sampling probabilities
+      percentiles<-quantile(removeProba,  probs=c(0.2, 0.8))
+      removeProba[which(removeProba  >= percentiles["80%"])] <- percentiles["80%"]
+      removeProba[which(removeProba  <= percentiles["20%"])] <- percentiles["20%"]
+      candidateRemove<-removeProba[as.character(record[i,3])]
+
+      print(candidateRemove) 
+      print(candidateAdd)
+      if (runif(1) < min( 1, exp(estimNew[i] - estimNew[i-1] + log(removeStep) - log(addStep) + log(candidateRemove) - log(candidateAdd) )))  {     ### accept "add species"  with prob min{1, P(D|i)*P(removeSpecies)*P(remove Specific Species)/P(D|i-1)*P(addSpecies)*P(add specific species) 
+
+        ######## Accept move #######
+        estimNew[i,]<-estimNew[i,]                                  ### if move is accepted, record new logL
+        speciestoUse[[1]]<-speciestoUse[[2]]                        ### if move is accepted, tentative species becomes present species.
+        abundUsedSpecies[[1]]<-abundUsedSpecies[[2]]                        ###       -->>-->>--   , abundances of new set of species are kept  
+        cat('Present species become:', speciestoUse[[1]], '\n')
+
+      }  else {                                                    ######### Reject Move ########
+        estimNew[i,]<-estimNew[i-1,]                               ### if move is rejected, record previous logL
+        speciestoUse[[1]]<-speciestoUse[[1]]                       ### if move is rejected, keep present species as it is.
+        abundUsedSpecies[[1]]<-abundUsedSpecies[[1]]
+        cat('Present species remain:', speciestoUse[[1]], '\n')    ### temporary
+      }
+
+    }    ### close  if(stepAdd==TRUE)
+
+    
+    else {   ########################################  type of move was to remove species   ##############
+      removeProba<-(1/abundUsedSpecies[[1]])/sum(1/abundUsedSpecies[[1]])   ###### sampling weight inversely proportional to size. Do this for present Species
+      candidateRemove<-removeProba[as.character(record[i,3])]
+      candidateAdd<-allSpecies[allSpecies[,1]==(as.character(record[i,3])),2]
+
+      
+      if (runif(1) < min( 1, exp(estimNew[i] - estimNew[i-1] + log(addStep) - log(removeStep) + log(candidateAdd) - log(candidateRemove) ))) {############# Accept "remove species"        
+        estimNew[i,]<-estimNew[i,]
+        speciestoUse[[1]]<-speciestoUse[[2]]                       ### tentative species becomes present species.
+        abundUsedSpecies[[1]]<-abundUsedSpecies[[2]]
+        cat('Present species become:', speciestoUse[[1]], '\n')    
+        
+      }  else {                                                    ######## Reject Move ###########
+        estimNew[i,]<-estimNew[i-1,]
+        speciestoUse[[1]]<-speciestoUse[[1]]
+        abundUsedSpecies[[1]]<-abundUsedSpecies[[1]]
+        cat('Present species remain:', speciestoUse[[1]], '\n')          
+      }
+
+    }   ###close else (i.e (stepAdd==FALSE))
+    
+#################################edw tha kanw attempt to direct swap between slaves, without going through master
+       
+    if( i%%exchangeInterval == 0 ){   ### every nth (2nd for now) iteration
+      message("\n\nTime to attempt an exchange")      
+      oddFlag<-oddFlag+1
+      swap<-0
+      estim.current<-estimNew[i,]/temper[ind]    ######### need untempered logL
+
+      
+########################################### CREATE prime tags for object to send around
+      allowedLength<-175
+      Nsubobjects<-round(length(abundUsedSpecies[[1]])/allowedLength)+1
+      object.ids <- list.integers[ (noChains+1):(noChains + 4 + Nsubobjects) ]    ### 4 objcts for logL, swap message, untempered , species PLUS as many as necessary for abundances            
+
+      if (ind%%2 == oddFlag%%2) {  ###when oddFlag zero , the following code concerns even-numbered slaves. For oddFlag 1, it concerns odd-numbered slaves.                 
+        ind.partner<-ind+1
+
+        if (0<ind.partner && ind.partner<(noChains+1)){           
+          estim.partner<-mpi.recv.Robj(ind.partner, tag=object.ids[1]*node.ids[ind.partner])  #### receive the logdensity of above  partner
+          message("I received the untempered: ", estim.partner)
+          swaps.attempted<-swaps.attempted+1          
+          lalpha<-(estim.partner - estim.current)*(temper[ind] - temper[ind.partner] )
+          message("This is the acceptance probability: ", min(1,exp(lalpha)))
+          
+          if (runif(1)< min(1, exp(lalpha))) {    ############# exp((chain2 - chain1)*(T1 - T2))
+            message("I exchanged the values")               
+            swap<-1         
+          }   ## end of if runif(1)<lalpha M-H step
+
+          else {message("I didn't exchange the values")}
+          
+          mpi.send.Robj(obj=swap,dest=ind.partner,tag=object.ids[2]*node.ids[ind])
+          message("I send message swap: ", swap)
+        }     ### end of   if (0<ind.partner && ind.partner<(noChains+1)){          
+
+        if(swap==1){
+          swaps.accepted<-swaps.accepted+1
+
+          mpi.send.Robj(obj=estim.current,dest=ind.partner,tag=object.ids[3]*node.ids[ind])
+          message("I just sent the untempered: ", estim.current)
+          species.swap<-speciestoUse[[1]]
+          mpi.send.Robj(species.swap,dest=ind.partner,tag=object.ids[4]*node.ids[ind])
+          speciestoUse[[1]]<-mpi.recv.Robj(ind.partner,tag=object.ids[4]*node.ids[ind.partner])
+          
+          abund.swap<-abundUsedSpecies[[1]]
+          mpi.send.Robj(abund.swap,dest=ind.partner,tag=object.ids[5]*node.ids[ind])
+          abundUsedSpecies[[1]]<-mpi.recv.Robj(ind.partner,tag=object.ids[5]*node.ids[ind.partner])
+          
+
+          message("I received the following abundances from: ", ind.partner, " here ", ind)
+          message("The new logdensity will be the one of the neighbor but tempered with my temperature: ", estim.partner*temper[ind])
+          estimNew[i,]<-estim.partner * temper[ind]
+        }     ### end of if(swap==1)         
+        
+      } else {  ##### ###when oddFlag zero , the following code concerns odd-numbered slaves. For oddFlag 1, it concerns even-numbered slaves. I.e say what partners should do
+        ind.partner<-ind-1;           
+        if(0<ind.partner && ind.partner<(noChains+1)){
+          mpi.send.Robj(obj=estim.current,dest=ind.partner,tag=object.ids[1]*node.ids[ind])
+          message("I just sent the untempered: ", estim.current)
+          swap<-mpi.recv.Robj(ind.partner,tag=object.ids[2]*node.ids[ind.partner])
+          message("I received the swap message: ", swap)
+          swaps.attempted<-swaps.attempted+1
+        }  ####end of  if(0<ind.partner && ind.partner<(noChains+1)){
+          
+                  
+        if(swap==1){
+          swaps.accepted<-swaps.accepted+1
+          estim.partner<-mpi.recv.Robj(ind.partner, tag=object.ids[3]*node.ids[ind.partner] )  #### receive the logdensity of above  partner
+          message("I received the untempered: ", estim.partner)
+
+          species.swap<-speciestoUse[[1]]        
+
+          speciestoUse[[1]]<-mpi.recv.Robj(ind.partner,tag=object.ids[4]*node.ids[ind.partner])           
+          mpi.send.Robj(species.swap,dest=ind.partner,tag=object.ids[4]*node.ids[ind])
+          
+          abund.swap<-abundUsedSpecies[[1]]
+          abundUsedSpecies[[1]]<-mpi.recv.Robj(ind.partner,tag=object.ids[5]*node.ids[ind.partner])
+          mpi.send.Robj(abund.swap,dest=ind.partner,tag=object.ids[5]*node.ids[ind])
+                    
+          message("I received the following species from: ", ind.partner, " here ", ind)
+          message("The new logdensity will be the one of the neighbor but tempered with my temperature: ", estim.partner*temper[ind])
+          estimNew[i,]<-estim.partner * temper[ind]          
+        }
+      }
+    }
+
+############ Use indicator variable for species presence per iteration
+    record[i, speciestoUse[[1]]]<-ifelse(speciestoUse[[1]] %in% colnames(record), 1, 0)
+    record[i,(5+lenSp)]<-estimNew[i,]             ###last colum is logL
+    
+  }    ###end of for loop for internal iterations
+  
+  resultSC<-list("estimNew"=estimNew, "record"=record, "usedSp"=speciestoUse[[1]], "abundUsedSp" = abundUsedSpecies[[1]], "swaps.attempt"=swaps.attempted, "swaps.accept"=swaps.accepted, "readSupport"=readSupport, "lpenalty"=lpenalty)
+  return(resultSC)  
+   
+}    ##end of singleChain function
+
+
+##########################################----------------------- MAIN ---------------------------
+###send function to slaves
+mpi.bcast.Robj2slave(singleChain)
+
+### Now call the single chain function
+message('Start parallel tempering')
+result<-mpi.remote.exec(singleChain(TotalIter, exchangeInterval))
+EndTime<-Sys.time()
+duration<-EndTime-StartTime
+message('PT finished in ', duration, ". ", nrow(ordered.species), " species were explored in ", ExternIter, "x", noChains, " iterations.")
+
+step3<-list("result"=result, "duration"=duration)
+  
+  if (!is.null(outDir)) {
+    step3.name <- paste(outDir, "/step3.RData", sep = "")
+    save(step3, file=step3.name)
+    rm(list= ls()[!ls() %in% c("step3")])
+    gc()    
+  } else {
+    rm(list= ls()[!ls() %in% c("step3")])
+    gc()
+  }
+
+  
+mpi.close.Rslaves(dellog=FALSE)
+#mpi.quit()
+
+return(step3)
+}
diff --git a/R/step3_parallelTemper_nucl.R b/R/step3_parallelTemper_nucl.R
new file mode 100644
index 0000000..aecf443
--- /dev/null
+++ b/R/step3_parallelTemper_nucl.R
@@ -0,0 +1,915 @@
+################################################ Perform Parallel Tempering MCMC ###############################################
+#' @name parallel.temper.nucl
+#' @title Parallel Tempering MCMC
+NULL
+#' @rdname parallel.temper.nucl
+#' @title parallel.temper.nucl
+#' @description Performs Parallel Tempering MCMC to explore the species state space. Two types of moves are implemented: a mutation step (within chain) and an exchange step (between neighboring chains). If working with BLASTx data, use parallel.temper().
+#' @param step2 list. The output from reduce.space(). Alternatively, it can be a character string containing the path name of the ".RData" file  where step2 list was saved.  
+#' @param readSupport The number of reads the user requires in order to believe in the presence of the species. It is used to compute the penalty factor. The default value  is 30. We compute the logarithmic penalty value as the log-likelihood difference between two models: one where all N reads belong to the "unknown"  category and one where r reads have a perfect match to some unspecified species and the remaining reads belong to the "unknown"  category.
+#' @param noChains The number of parallel chains to run. The default value is 12.
+#' @param seed Optional argument that sets the random seed (default is 1) to make results reproducible.
+#' @param median.genome.length To use in the penalty computation.
+#' @return step3: A list with two elements. The first one (result) is a list that records MCMC information from each parallel chain.  The second one (duration) records how much time the MCMC exploration took.
+#' @seealso  \code{\link{parallel.temper}} This function should be used when working with BLASTx data.
+#' @keywords parallel.temper.nucl
+#' @export parallel.temper.nucl
+#' @import Rmpi Matrix
+#' @importFrom gtools rdirichlet
+######################################################################################################################
+
+parallel.temper.nucl = function(step2, readSupport=30, noChains=12, seed=1, median.genome.length=284332){
+
+  if (is.character(step2)) {
+    load(step2)
+  }
+
+    
+  should.be.in.the.list <- c("pij.sparse.mat", "ordered.species", "read.weights", "outDir", "gen.prob.unknown")
+
+  if (sum (!( should.be.in.the.list %in% names(step2)) ) > 0) {
+    message('Missing the following arguments')
+    print(names(step2)[!(should.be.in.the.list %in% names(step2))] )
+    stop()
+  }  else {
+
+
+    parallel.temper.nucl.wrapped<-function(readSupport.internal=readSupport, noChains.internal=noChains, pij.sparse.mat=step2$pij.sparse.mat, read.weights=step2$read.weights, ordered.species=step2$ordered.species, gen.prob.unknown=step2$gen.prob.unknown, outDir=step2$outDir, seed.internal=seed, median.genome.length.internal=median.genome.length){
+      
+      set.seed(seed.internal);
+#print(warnings())
+      StartTime<-Sys.time()
+
+      sieve <- function(n) {
+        n <- as.integer(n)
+        if(n > 1e6) stop("n too large")
+        primes <- rep(TRUE, n)
+        primes[1] <- FALSE
+        last.prime <- 2L
+        for(i in last.prime:floor(sqrt(n)))
+          {
+            primes[seq.int(2L*last.prime, n, last.prime)] <- FALSE
+            last.prime <- last.prime + min(which(primes[(last.prime+1):n]))
+          }
+        which(primes)
+      }
+
+      list.integers <- sieve(1000)
+
+      node.ids <- list.integers[ 1:noChains.internal ]
+      mpi.spawn.Rslaves(nslaves = noChains.internal)  #number of slaves to spawn, should be equal to individual chains
+
+# In case R exits unexpectedly, have it automatically clean up
+# resources taken up by Rmpi (slaves, memory, etc...)
+      .Last <- function(){
+        if (is.loaded("mpi_initialize")){
+          if (mpi.comm.size(1) > 0){
+            print("Please use mpi.close.Rslaves() to close slaves.")
+            mpi.close.Rslaves()
+          }
+          print("Please use mpi.quit() to quit R")
+          .Call("mpi_finalize", PACKAGE='metaMix')
+        }
+      }
+
+
+
+      pij.sparse.mat<-cBind(pij.sparse.mat, "unknown"=gen.prob.unknown)
+
+      gc()
+
+      allSpecies<-ordered.species[,c("taxonID", "samplingWeight")]
+      lenSp<-nrow(allSpecies)
+
+  
+      lpenalty<-computePenalty.nucl(readSupport=readSupport.internal, readWeights=read.weights, pUnknown=gen.prob.unknown, median.genome.length=median.genome.length)  ### penalty for accepting a new species ~ Use pij for the r readSupport perfect reads (=1/median(protein length)). 
+
+### EMiter
+      EMiter<-10
+
+### PT parameters
+      exchangeInterval<-1                             ###leave chains run in parallel for that many iterations
+      ExternIter<-5*(nrow(ordered.species))                              ### make chains communicate 1 times
+      TotalIter<-exchangeInterval * ExternIter
+
+##Tempering Vector --Power Decay
+      temper<-vector()
+      K<-0.001
+      a<-3/2
+      for (n in 2:noChains.internal){
+        temper[1]<-1
+        temper[n]<-(temper[n-1]-K)^a
+      }
+      for (i in 1:noChains.internal) {names(temper)[i]<- paste("slave",i, sep="")}  ###names
+
+### flag for adding /removing species
+      stepAdd<-vector(mode = "logical")
+
+#### broadcast necessary objects/functions to slaves
+      mpi.bcast.Robj2slave(exchangeInterval)
+      mpi.bcast.Robj2slave(ExternIter)
+      mpi.bcast.Robj2slave(TotalIter)
+      mpi.bcast.Robj2slave(list.integers)
+      mpi.bcast.Robj2slave(node.ids)
+      mpi.bcast.Robj2slave(ordered.species)
+      mpi.bcast.Robj2slave(read.weights)
+      mpi.bcast.Robj2slave(pij.sparse.mat)
+      mpi.bcast.Robj2slave(lpenalty)
+      mpi.bcast.Robj2slave(EM)
+      mpi.bcast.Robj2slave(allSpecies)
+      mpi.bcast.Robj2slave(lenSp)
+      mpi.bcast.Robj2slave(EMiter)
+      mpi.bcast.Robj2slave(noChains.internal)
+      mpi.bcast.Robj2slave(temper)
+      mpi.bcast.Robj2slave(gen.prob.unknown)
+##########################---------------------------------------SINGLE CHAIN FUNCTION -----------------------------------------------------------------------------------------------#######################
+      singleChain <- function(TotalIter, exchangeInterval){
+
+        if (file.exists('~/.Rprofile')) source('~/.Rprofile')
+        print(.libPaths())
+  
+       
+        ind <- mpi.comm.rank()   # Each slave gets its own copy of ind and chain based on mpi process rank
+        print(ind)
+
+        estimNew<-matrix(0, nrow=TotalIter, ncol=1)   ### Create matrix that will hold the estimator of the log-likelihood
+        estimNew[1,]<- sum(read.weights[,"weight"])*log(gen.prob.unknown)*temper[ind]  
+        print(estimNew[1,])
+  
+        presentSpecies<-"unknown"   ## create object that receives the species deemed as present, from previous (swapInterv*j) iteration.
+        abundUsedSp<-c("unknown"=1)
+  
+  ### Create 2 lists. One that holds species names and one with their abundances. Each list has 2 elements. Element1: present species  and Element2: tentative species being explored in current iteration.
+        speciestoUse<-list("presentSp"=presentSpecies, "tentativeSp"=NULL)
+        abundUsedSpecies<-list("presentSp"= abundUsedSp, "tentativeSp"=NULL)
+  
+        message("\nThis is the temperature for this slave")
+        print(temper[ind])
+  
+### create matrix to hold info on which species was added or removed, which species were present and logL , through iterations
+        record<-matrix(0, ncol=(5+lenSp), nrow=(TotalIter))
+        record<-as.data.frame(record)
+        colnames(record)<-c("Iter", "Move", "Candidate Species", allSpecies[,1],  "unknown", "logL")
+        record[,1]=1:(TotalIter)
+        record[1, presentSpecies]<-1
+        record[1,(5+lenSp)]<-estimNew[1,]             ###last colum is logL
+  
+        swaps.attempted<-0
+        swaps.accepted<-0
+        oddFlag<-0
+
+################ ----------------------------------- Begin MCMC (within single chain)  ------------------------------------------------------------------------------------------############  
+        for (i in  2:TotalIter)  {    
+          cat('\n',i,'\n')                                 ### temporary - debugging purposes
+
+#### Create 3 functions to use repeatedly in adding/removing species steps.
+######################### 1a. For add step:  species  I sample my candidate species from.
+          potentialSpecies<-function() {                    
+            toChooseFrom <-  allSpecies[,1][!(allSpecies[,1] %in% speciestoUse[[1]])]   ### Species remaining after omitting "present species"
+            toChooseFrom<-as.character(toChooseFrom)
+            potentialSp<- allSpecies[allSpecies$taxonID %in% toChooseFrom,]
+            resultPS<-list("potentialSp"=potentialSp, "toChooseFrom"=toChooseFrom)
+            return(resultPS)
+          }
+
+    ######################## 1b. For add step, sample candidate organism to add and create object for tentative species
+          moveAdd<-function() {
+            randSp <- sample(as.character(potentialSp[,1]),1, prob=potentialSp[,2])   ### choose random species, weights need not sum to one. Here weights are based on intial read counts.         
+            cat('Add species', randSp, '\n')                     ### temporary - debugging purposes
+            speciestoUse[[2]]<-c(randSp, speciestoUse[[1]])      ### tentative present species, to use in Gibbs below.
+            record[i, 2]<- "Add"                     ### record info on species we are adding
+            record[i,3]<- randSp
+
+            result<-list("record"=record, "speciestoUse"=speciestoUse)      
+            return(result)
+          }
+          
+    ######################## 2. For remove step, sample candidate organism to remove and create object for tentative species
+          moveRemove<-function() {
+            toremoveFrom <- speciestoUse[[1]][!(speciestoUse[[1]]%in%"unknown")]         ### species set from which to remove (i.e present ones bar unknown)
+            toremoveFrom<-as.character(toremoveFrom)          
+            removeProb<-(1/abundUsedSpecies[[1]][toremoveFrom])/sum(1/abundUsedSpecies[[1]][toremoveFrom])       ###### sampling weight inversely proportional to assigned read counts.
+###Flatten removal probabilities
+            percentiles<-quantile(removeProb,  probs=c(0.2, 0.8))
+            removeProb[which(removeProb  >= percentiles["80%"])] <- percentiles["80%"]
+            removeProb[which(removeProb  <= percentiles["20%"])] <- percentiles["20%"]
+
+    ### sample candidate species to remove
+            randSp<-sample(toremoveFrom, 1, prob=removeProb )   ### weights need not sum to one
+            cat('Remove species', randSp, '\n')                 ### temporary - debugging purposes
+            speciestoUse[[2]] <- speciestoUse[[1]][!(speciestoUse[[1]] %in% randSp)]    ### tentative present species, to use in Gibbs below.
+            record[i, 2]<- "Remove"                     ### record info on species we are adding
+            record[i,3]<- randSp
+            result<-list("record"=record, "speciestoUse"=speciestoUse)      
+            return(result)
+          }
+
+          addStep <-0.5      ####proability of doing add step
+    
+              ######################################################## Add species ########################################      
+          if (runif(1)<= addStep) {                             
+            resultPS<-potentialSpecies()
+            potentialSp<-as.data.frame(resultPS$potentialSp)
+            toChooseFrom<-as.character(resultPS$toChooseFrom)
+      
+            if (length(toChooseFrom) != 0L){  
+              result<-moveAdd()
+              speciestoUse<-result$speciestoUse
+              record<-result$record
+                
+            } else {                                 ################## ### If pool of species to add empty, go to remove step  
+              message("No more species to choose from, all are kept as present.")
+              result<-moveRemove()
+              speciestoUse<-result$speciestoUse
+              record<-result$record        
+              addStep<-0             ### so do remove step with prob=1
+            }  
+
+          }  ###close if runif(1)<=addStep
+
+      
+          else {    ################################################### Remove species #################################################
+            toremoveFrom <- speciestoUse[[1]][!(speciestoUse[[1]]%in%"unknown")]         ### species set from which to remove (i.e present ones bar unknown)
+            toremoveFrom<-as.character(toremoveFrom)
+            
+         #### First check that more than 1 species are present, so don't risk of remaining only with X bin and wasting iteration.
+            if (length(toremoveFrom) > 1) {
+              result<-moveRemove()
+              speciestoUse<-result$speciestoUse
+              record<-result$record        
+        
+            }  else if  (length(speciestoUse[[1]])==1) {                         #### speciestoUse[[1]]==1 when only unknown bin is there / We can only add
+              message("We cannot remove, we only have unknown bin")
+              potentialSp<-allSpecies
+              result<-moveAdd()
+              speciestoUse<-result$speciestoUse
+              record<-result$record        
+              addStep <- 1        ### so do add step with prob=1
+        
+            } else {                                                ### we are adding species instead. Removing would leave us just with X-bin again.
+              message("\nCannot remove a species, so instead we add\n")   ### temporary
+              resultPS<-potentialSpecies()
+              potentialSp<-as.data.frame(resultPS$potentialSp)
+              toChooseFrom<-as.character(resultPS$toChooseFrom)          
+              result<-moveAdd()
+              speciestoUse<-result$speciestoUse
+              record<-result$record        
+              addStep <- 1        
+            }        
+          } ###close else (remove species)
+
+
+          noSpecies<-length(speciestoUse[[2]])
+          print(noSpecies)
+          hyperP<-rep(1, noSpecies)
+          startW<-rdirichlet(1, hyperP)
+   
+          output100Tent<-EM(pij=pij.sparse.mat, iter=EMiter, species=speciestoUse[[2]], abund=startW, readWeights = read.weights)  ### EM function
+          
+          estimator <- output100Tent$logL[EMiter,2] + (noSpecies * lpenalty) #### penalise likelihood                                  
+
+          message("EM took: ", output100Tent$RunningTime)       
+          mean1<-as.numeric(output100Tent$abundances[EMiter,2:(noSpecies+1)])
+          names(mean1)<-names(output100Tent$abundances[EMiter,2:(noSpecies+1)])                        
+          abundUsedSpecies[[2]]<-mean1
+          
+          estimNew[i,]<-estimator*temper[ind]                          ###tempered likelihood
+          message('\n', estimNew[i,] , ' ',  estimNew[i-1,])           ### temporary print - which values am I comparing?
+    
+    ####### flag of adding/removing
+          if (record[i,2]=="Add") {
+            stepAdd<-TRUE
+          } else {stepAdd<-FALSE}
+
+          removeStep <- 1 - addStep    ##remove step
+
+
+          if (stepAdd) {
+
+            candidateAdd<-allSpecies[allSpecies[,1]==(as.character(record[i,3])),2]
+            removeProba<-(1/abundUsedSpecies[[2]])/sum(1/abundUsedSpecies[[2]])       ###### sampling weight inversely proportional to size. Tentative Species
+      
+###Flattening the sampling probabilities
+            percentiles<-quantile(removeProba,  probs=c(0.2, 0.8))
+            removeProba[which(removeProba  >= percentiles["80%"])] <- percentiles["80%"]
+            removeProba[which(removeProba  <= percentiles["20%"])] <- percentiles["20%"]
+            candidateRemove<-removeProba[as.character(record[i,3])]
+
+            print(candidateRemove) 
+            print(candidateAdd)
+            if (runif(1) < min( 1, exp(estimNew[i] - estimNew[i-1] + log(removeStep) - log(addStep) + log(candidateRemove) - log(candidateAdd) )))  {     ### accept "add species"  with prob min{1, P(D|i)*P(removeSpecies)*P(remove Specific Species)/P(D|i-1)*P(addSpecies)*P(add specific species) 
+
+        ######## Accept move #######
+              estimNew[i,]<-estimNew[i,]                                  ### if move is accepted, record new logL
+              speciestoUse[[1]]<-speciestoUse[[2]]                        ### if move is accepted, tentative species becomes present species.
+              abundUsedSpecies[[1]]<-abundUsedSpecies[[2]]                        ###       -->>-->>--   , abundances of new set of species are kept  
+              cat('Present species become:', speciestoUse[[1]], '\n')
+
+            }  else {                                                    ######### Reject Move ########
+              estimNew[i,]<-estimNew[i-1,]                               ### if move is rejected, record previous logL
+              speciestoUse[[1]]<-speciestoUse[[1]]                       ### if move is rejected, keep present species as it is.
+              abundUsedSpecies[[1]]<-abundUsedSpecies[[1]]
+              cat('Present species remain:', speciestoUse[[1]], '\n')    ### temporary
+            }
+
+          }    ### close  if(stepAdd==TRUE)
+
+    
+          else {   ########################################  type of move was to remove species   ##############
+            removeProba<-(1/abundUsedSpecies[[1]])/sum(1/abundUsedSpecies[[1]])   ###### sampling weight inversely proportional to size. Do this for present Species
+            candidateRemove<-removeProba[as.character(record[i,3])]
+            candidateAdd<-allSpecies[allSpecies[,1]==(as.character(record[i,3])),2]
+
+      
+            if (runif(1) < min( 1, exp(estimNew[i] - estimNew[i-1] + log(addStep) - log(removeStep) + log(candidateAdd) - log(candidateRemove) ))) {############# Accept "remove species"        
+              estimNew[i,]<-estimNew[i,]
+              speciestoUse[[1]]<-speciestoUse[[2]]                       ### tentative species becomes present species.
+              abundUsedSpecies[[1]]<-abundUsedSpecies[[2]]
+              cat('Present species become:', speciestoUse[[1]], '\n')    
+        
+            }  else {                                                    ######## Reject Move ###########
+              estimNew[i,]<-estimNew[i-1,]
+              speciestoUse[[1]]<-speciestoUse[[1]]
+              abundUsedSpecies[[1]]<-abundUsedSpecies[[1]]
+              cat('Present species remain:', speciestoUse[[1]], '\n')          
+            }
+
+          }   ###close else (i.e (stepAdd==FALSE))
+    
+#################################edw tha kanw attempt to direct swap between slaves, without going through master
+       
+          if( i%%exchangeInterval == 0 ){   ### every nth (2nd for now) iteration
+            message("\n\nTime to attempt an exchange")      
+            oddFlag<-oddFlag+1
+            swap<-0
+            estim.current<-estimNew[i,]/temper[ind]    ######### need untempered logL
+
+      
+########################################### CREATE prime tags for object to send around
+            allowedLength<-175
+            Nsubobjects<-round(length(abundUsedSpecies[[1]])/allowedLength)+1
+            object.ids <- list.integers[ (noChains.internal+1):(noChains.internal + 4 + Nsubobjects) ]    ### 4 objcts for logL, swap message, untempered , species PLUS as many as necessary for abundances            
+
+            if (ind%%2 == oddFlag%%2) {  ###when oddFlag zero , the following code concerns even-numbered slaves. For oddFlag 1, it concerns odd-numbered slaves.                 
+              ind.partner<-ind+1
+
+              if (0<ind.partner && ind.partner<(noChains.internal+1)){           
+                estim.partner<-mpi.recv.Robj(ind.partner, tag=object.ids[1]*node.ids[ind.partner])  #### receive the logdensity of above  partner
+                message("I received the untempered: ", estim.partner)
+                swaps.attempted<-swaps.attempted+1          
+                lalpha<-(estim.partner - estim.current)*(temper[ind] - temper[ind.partner] )
+                message("This is the acceptance probability: ", min(1,exp(lalpha)))
+          
+                if (runif(1)< min(1, exp(lalpha))) {    ############# exp((chain2 - chain1)*(T1 - T2))
+                  message("I exchanged the values")               
+                  swap<-1         
+                }   ## end of if runif(1)<lalpha M-H step
+
+                else {message("I didn't exchange the values")}
+                
+                mpi.send.Robj(obj=swap,dest=ind.partner,tag=object.ids[2]*node.ids[ind])
+                message("I send message swap: ", swap)
+              }     ### end of   if (0<ind.partner && ind.partner<(noChains.internal+1)){          
+
+              if(swap==1){
+                swaps.accepted<-swaps.accepted+1
+                
+                mpi.send.Robj(obj=estim.current,dest=ind.partner,tag=object.ids[3]*node.ids[ind])
+                message("I just sent the untempered: ", estim.current)
+                species.swap<-speciestoUse[[1]]
+                mpi.send.Robj(species.swap,dest=ind.partner,tag=object.ids[4]*node.ids[ind])
+                speciestoUse[[1]]<-mpi.recv.Robj(ind.partner,tag=object.ids[4]*node.ids[ind.partner])
+          
+                abund.swap<-abundUsedSpecies[[1]]
+                mpi.send.Robj(abund.swap,dest=ind.partner,tag=object.ids[5]*node.ids[ind])
+                abundUsedSpecies[[1]]<-mpi.recv.Robj(ind.partner,tag=object.ids[5]*node.ids[ind.partner])
+          
+
+                message("I received the following abundances from: ", ind.partner, " here ", ind)
+                message("The new logdensity will be the one of the neighbor but tempered with my temperature: ", estim.partner*temper[ind])
+                estimNew[i,]<-estim.partner * temper[ind]
+              }     ### end of if(swap==1)         
+        
+            } else {  ##### ###when oddFlag zero , the following code concerns odd-numbered slaves. For oddFlag 1, it concerns even-numbered slaves. I.e say what partners should do
+              ind.partner<-ind-1;           
+              if(0<ind.partner && ind.partner<(noChains.internal+1)){
+                mpi.send.Robj(obj=estim.current,dest=ind.partner,tag=object.ids[1]*node.ids[ind])
+                message("I just sent the untempered: ", estim.current)
+                swap<-mpi.recv.Robj(ind.partner,tag=object.ids[2]*node.ids[ind.partner])
+                message("I received the swap message: ", swap)
+                swaps.attempted<-swaps.attempted+1
+              }  ####end of  if(0<ind.partner && ind.partner<(noChains.internal+1)){
+          
+                  
+              if(swap==1){
+                swaps.accepted<-swaps.accepted+1
+                estim.partner<-mpi.recv.Robj(ind.partner, tag=object.ids[3]*node.ids[ind.partner] )  #### receive the logdensity of above  partner
+                message("I received the untempered: ", estim.partner)
+
+                species.swap<-speciestoUse[[1]]        
+
+                speciestoUse[[1]]<-mpi.recv.Robj(ind.partner,tag=object.ids[4]*node.ids[ind.partner])           
+                mpi.send.Robj(species.swap,dest=ind.partner,tag=object.ids[4]*node.ids[ind])
+          
+                abund.swap<-abundUsedSpecies[[1]]
+                abundUsedSpecies[[1]]<-mpi.recv.Robj(ind.partner,tag=object.ids[5]*node.ids[ind.partner])
+                mpi.send.Robj(abund.swap,dest=ind.partner,tag=object.ids[5]*node.ids[ind])
+                    
+                message("I received the following species from: ", ind.partner, " here ", ind)
+                message("The new logdensity will be the one of the neighbor but tempered with my temperature: ", estim.partner*temper[ind])
+                estimNew[i,]<-estim.partner * temper[ind]          
+              }
+            }
+          }
+
+############ Use indicator variable for species presence per iteration
+          record[i, speciestoUse[[1]]]<-ifelse(speciestoUse[[1]] %in% colnames(record), 1, 0)
+          record[i,(5+lenSp)]<-estimNew[i,]             ###last colum is logL
+    
+        }    ###end of for loop for internal iterations
+  
+        resultSC<-list("estimNew"=estimNew, "record"=record, "usedSp"=speciestoUse[[1]], "abundUsedSp" = abundUsedSpecies[[1]], "swaps.attempt"=swaps.attempted, "swaps.accept"=swaps.accepted, "readSupport"=readSupport.internal, "lpenalty"=lpenalty)
+        return(resultSC)  
+   
+      }    ##end of singleChain function
+
+
+##########################################----------------------- MAIN ---------------------------
+###send function to slaves
+      mpi.bcast.Robj2slave(singleChain)
+
+### Now call the single chain function
+      message('Start parallel tempering')
+      result<-mpi.remote.exec(singleChain(TotalIter, exchangeInterval))
+      EndTime<-Sys.time()
+      duration<-EndTime-StartTime
+      message('PT finished in ', duration, ". ", nrow(ordered.species), " species were explored in ", ExternIter, "x", noChains.internal, " iterations.")
+
+      step3<-list("result"=result, "duration"=duration)
+
+      if (!is.null(outDir)) {
+        step3.name <- paste(outDir, "/step3.RData", sep = "")
+        save(step3, file=step3.name)
+        rm(list= ls()[!ls() %in% c("step3")])
+        gc()
+      } else {
+        rm(list= ls()[!ls() %in% c("step3")])
+        gc()
+      }
+
+      mpi.close.Rslaves(dellog=FALSE)
+     # mpi.quit()
+  
+      return(step3)
+    }
+  
+    parallel.temper.nucl.wrapped()
+  }
+
+}
+
+
+#' @rdname parallel.temper.nucl
+#' @title parallel.temper.nucl.explicit
+#' @description  parallel.temper.nucl.explicit is the same  function as parallel.temper.nucl with a  more involved syntax.
+#' @param pij.sparse.mat sparse matrix of generative probabilities, see value of ?reduce.space.
+#' @param read.weights   see ?reduce.space.
+#' @param ordered.species see ?reduce.space.
+#' @param gen.prob.unknown  see ?reduce.space.
+#' @param outDir see ?reduce.space.
+#' @keywords parallel.temper.nucl.explicit
+#' @export parallel.temper.nucl.explicit
+#' @import Rmpi Matrix
+#' @importFrom gtools rdirichlet
+##########################-------------------------------------------- MAIN ---------------------------------------------------------------------------------
+
+parallel.temper.nucl.explicit<-function(readSupport=30, noChains=12, pij.sparse.mat, read.weights, ordered.species, gen.prob.unknown, outDir,seed = 1, median.genome.length=284332){
+
+  set.seed(seed);
+#print(warnings())
+StartTime<-Sys.time()
+
+sieve <- function(n) {
+  n <- as.integer(n)
+  if(n > 1e6) stop("n too large")
+  primes <- rep(TRUE, n)
+  primes[1] <- FALSE
+  last.prime <- 2L
+  for(i in last.prime:floor(sqrt(n)))
+    {
+      primes[seq.int(2L*last.prime, n, last.prime)] <- FALSE
+      last.prime <- last.prime + min(which(primes[(last.prime+1):n]))
+    }
+          which(primes)
+}
+
+list.integers <- sieve(1000)
+
+node.ids <- list.integers[ 1:noChains ]
+mpi.spawn.Rslaves(nslaves = noChains)  #number of slaves to spawn, should be equal to individual chains
+
+# In case R exits unexpectedly, have it automatically clean up
+# resources taken up by Rmpi (slaves, memory, etc...)
+.Last <- function(){
+  if (is.loaded("mpi_initialize")){
+    if (mpi.comm.size(1) > 0){
+      print("Please use mpi.close.Rslaves() to close slaves.")
+      mpi.close.Rslaves()
+    }
+    print("Please use mpi.quit() to quit R")
+    .Call("mpi_finalize", PACKAGE='metaMix')
+  }
+}
+
+
+
+pij.sparse.mat<-cBind(pij.sparse.mat, "unknown"=gen.prob.unknown)
+
+gc()
+
+allSpecies<-ordered.species[,c("taxonID", "samplingWeight")]
+lenSp<-nrow(allSpecies)
+
+  
+lpenalty<-computePenalty.nucl(readSupport=readSupport, readWeights=read.weights, pUnknown=gen.prob.unknown, median.genome.length=median.genome.length)  ### penalty for accepting a new species ~ Use pij for the r readSupport perfect reads (=1/median(protein length)). 
+
+### EMiter
+EMiter<-10
+
+### PT parameters
+exchangeInterval<-1                             ###leave chains run in parallel for that many iterations
+ExternIter<-5*(nrow(ordered.species))                              ### make chains communicate 1 times
+TotalIter<-exchangeInterval * ExternIter
+
+##Tempering Vector --Power Decay
+temper<-vector()
+K<-0.001
+a<-3/2
+for (n in 2:noChains){
+  temper[1]<-1
+  temper[n]<-(temper[n-1]-K)^a
+}
+for (i in 1:noChains) {names(temper)[i]<- paste("slave",i, sep="")}  ###names
+
+### flag for adding /removing species
+stepAdd<-vector(mode = "logical")
+
+#### broadcast necessary objects/functions to slaves
+mpi.bcast.Robj2slave(exchangeInterval)
+mpi.bcast.Robj2slave(ExternIter)
+mpi.bcast.Robj2slave(TotalIter)
+mpi.bcast.Robj2slave(list.integers)
+mpi.bcast.Robj2slave(node.ids)
+mpi.bcast.Robj2slave(ordered.species)
+mpi.bcast.Robj2slave(read.weights)
+mpi.bcast.Robj2slave(pij.sparse.mat)
+mpi.bcast.Robj2slave(lpenalty)
+mpi.bcast.Robj2slave(EM)
+mpi.bcast.Robj2slave(allSpecies)
+mpi.bcast.Robj2slave(lenSp)
+mpi.bcast.Robj2slave(EMiter)
+mpi.bcast.Robj2slave(noChains)
+mpi.bcast.Robj2slave(temper)
+mpi.bcast.Robj2slave(gen.prob.unknown)
+##########################---------------------------------------SINGLE CHAIN FUNCTION -----------------------------------------------------------------------------------------------#######################
+singleChain <- function(TotalIter, exchangeInterval){
+
+  if (file.exists('~/.Rprofile')) source('~/.Rprofile')
+  print(.libPaths())
+  
+       
+  ind <- mpi.comm.rank()   # Each slave gets its own copy of ind and chain based on mpi process rank
+  print(ind)
+
+  estimNew<-matrix(0, nrow=TotalIter, ncol=1)   ### Create matrix that will hold the estimator of the log-likelihood
+  estimNew[1,]<- sum(read.weights[,"weight"])*log(gen.prob.unknown)*temper[ind]  
+  print(estimNew[1,])
+  
+  presentSpecies<-"unknown"   ## create object that receives the species deemed as present, from previous (swapInterv*j) iteration.
+  abundUsedSp<-c("unknown"=1)
+  
+  ### Create 2 lists. One that holds species names and one with their abundances. Each list has 2 elements. Element1: present species  and Element2: tentative species being explored in current iteration.
+  speciestoUse<-list("presentSp"=presentSpecies, "tentativeSp"=NULL)
+  abundUsedSpecies<-list("presentSp"= abundUsedSp, "tentativeSp"=NULL)
+  
+  message("\nThis is the temperature for this slave")
+  print(temper[ind])
+  
+### create matrix to hold info on which species was added or removed, which species were present and logL , through iterations
+  record<-matrix(0, ncol=(5+lenSp), nrow=(TotalIter))
+  record<-as.data.frame(record)
+  colnames(record)<-c("Iter", "Move", "Candidate Species", allSpecies[,1],  "unknown", "logL")
+  record[,1]=1:(TotalIter)
+  record[1, presentSpecies]<-1
+  record[1,(5+lenSp)]<-estimNew[1,]             ###last colum is logL
+  
+  swaps.attempted<-0
+  swaps.accepted<-0
+  oddFlag<-0
+
+################ ----------------------------------- Begin MCMC (within single chain)  ------------------------------------------------------------------------------------------############  
+  for (i in  2:TotalIter)  {    
+    cat('\n',i,'\n')                                 ### temporary - debugging purposes
+
+#### Create 3 functions to use repeatedly in adding/removing species steps.
+######################### 1a. For add step:  species  I sample my candidate species from.
+    potentialSpecies<-function() {                    
+      toChooseFrom <-  allSpecies[,1][!(allSpecies[,1] %in% speciestoUse[[1]])]   ### Species remaining after omitting "present species"
+      toChooseFrom<-as.character(toChooseFrom)
+      potentialSp<- allSpecies[allSpecies$taxonID %in% toChooseFrom,]
+      resultPS<-list("potentialSp"=potentialSp, "toChooseFrom"=toChooseFrom)
+      return(resultPS)
+    }
+
+    ######################## 1b. For add step, sample candidate organism to add and create object for tentative species
+    moveAdd<-function() {
+      randSp <- sample(as.character(potentialSp[,1]),1, prob=potentialSp[,2])   ### choose random species, weights need not sum to one. Here weights are based on intial read counts.         
+      cat('Add species', randSp, '\n')                     ### temporary - debugging purposes
+      speciestoUse[[2]]<-c(randSp, speciestoUse[[1]])      ### tentative present species, to use in Gibbs below.
+      record[i, 2]<- "Add"                     ### record info on species we are adding
+      record[i,3]<- randSp
+
+      result<-list("record"=record, "speciestoUse"=speciestoUse)      
+      return(result)
+    }
+
+    ######################## 2. For remove step, sample candidate organism to remove and create object for tentative species
+    moveRemove<-function() {
+      toremoveFrom <- speciestoUse[[1]][!(speciestoUse[[1]]%in%"unknown")]         ### species set from which to remove (i.e present ones bar unknown)
+      toremoveFrom<-as.character(toremoveFrom)          
+      removeProb<-(1/abundUsedSpecies[[1]][toremoveFrom])/sum(1/abundUsedSpecies[[1]][toremoveFrom])       ###### sampling weight inversely proportional to assigned read counts.
+     ###Flatten removal probabilities
+      percentiles<-quantile(removeProb,  probs=c(0.2, 0.8))
+      removeProb[which(removeProb  >= percentiles["80%"])] <- percentiles["80%"]
+      removeProb[which(removeProb  <= percentiles["20%"])] <- percentiles["20%"]
+
+    ### sample candidate species to remove
+      randSp<-sample(toremoveFrom, 1, prob=removeProb )   ### weights need not sum to one
+      cat('Remove species', randSp, '\n')                 ### temporary - debugging purposes
+      speciestoUse[[2]] <- speciestoUse[[1]][!(speciestoUse[[1]] %in% randSp)]    ### tentative present species, to use in Gibbs below.
+      record[i, 2]<- "Remove"                     ### record info on species we are adding
+      record[i,3]<- randSp
+      result<-list("record"=record, "speciestoUse"=speciestoUse)      
+      return(result)
+    }
+
+    addStep <-0.5      ####proability of doing add step
+    
+              ######################################################## Add species ########################################      
+    if (runif(1)<= addStep) {                             
+      resultPS<-potentialSpecies()
+      potentialSp<-as.data.frame(resultPS$potentialSp)
+      toChooseFrom<-as.character(resultPS$toChooseFrom)
+      
+      if (length(toChooseFrom) != 0L){  
+        result<-moveAdd()
+        speciestoUse<-result$speciestoUse
+        record<-result$record
+                
+      } else {                                 ################## ### If pool of species to add empty, go to remove step  
+        message("No more species to choose from, all are kept as present.")
+        result<-moveRemove()
+        speciestoUse<-result$speciestoUse
+        record<-result$record        
+        addStep<-0             ### so do remove step with prob=1
+      }  
+
+    }  ###close if runif(1)<=addStep
+
+      
+    else {    ################################################### Remove species #################################################
+      toremoveFrom <- speciestoUse[[1]][!(speciestoUse[[1]]%in%"unknown")]         ### species set from which to remove (i.e present ones bar unknown)
+      toremoveFrom<-as.character(toremoveFrom)
+
+         #### First check that more than 1 species are present, so don't risk of remaining only with X bin and wasting iteration.
+      if (length(toremoveFrom) > 1) {
+        result<-moveRemove()
+        speciestoUse<-result$speciestoUse
+        record<-result$record        
+        
+      }  else if  (length(speciestoUse[[1]])==1) {                         #### speciestoUse[[1]]==1 when only unknown bin is there / We can only add
+        message("We cannot remove, we only have unknown bin")
+        potentialSp<-allSpecies
+        result<-moveAdd()
+        speciestoUse<-result$speciestoUse
+        record<-result$record        
+        addStep <- 1        ### so do add step with prob=1
+        
+      } else {                                                ### we are adding species instead. Removing would leave us just with X-bin again.
+        message("\nCannot remove a species, so instead we add\n")   ### temporary
+        resultPS<-potentialSpecies()
+        potentialSp<-as.data.frame(resultPS$potentialSp)
+        toChooseFrom<-as.character(resultPS$toChooseFrom)          
+        result<-moveAdd()
+        speciestoUse<-result$speciestoUse
+        record<-result$record        
+        addStep <- 1        
+      }        
+    } ###close else (remove species)
+
+
+    noSpecies<-length(speciestoUse[[2]])
+    print(noSpecies)
+    hyperP<-rep(1, noSpecies)
+    startW<-rdirichlet(1, hyperP)
+   
+    output100Tent<-EM(pij=pij.sparse.mat, iter=EMiter, species=speciestoUse[[2]], abund=startW, readWeights = read.weights)  ### EM function
+        
+    estimator <- output100Tent$logL[EMiter,2] + (noSpecies * lpenalty) #### penalise likelihood                                  
+
+    message("EM took: ", output100Tent$RunningTime)       
+    mean1<-as.numeric(output100Tent$abundances[EMiter,2:(noSpecies+1)])
+    names(mean1)<-names(output100Tent$abundances[EMiter,2:(noSpecies+1)])                        
+    abundUsedSpecies[[2]]<-mean1
+
+    estimNew[i,]<-estimator*temper[ind]                          ###tempered likelihood
+    message('\n', estimNew[i,] , ' ',  estimNew[i-1,])           ### temporary print - which values am I comparing?
+    
+    ####### flag of adding/removing
+    if (record[i,2]=="Add") {
+      stepAdd<-TRUE
+    } else {stepAdd<-FALSE}
+
+    removeStep <- 1 - addStep    ##remove step
+
+
+    if (stepAdd) {
+
+      candidateAdd<-allSpecies[allSpecies[,1]==(as.character(record[i,3])),2]
+      removeProba<-(1/abundUsedSpecies[[2]])/sum(1/abundUsedSpecies[[2]])       ###### sampling weight inversely proportional to size. Tentative Species
+
+###Flattening the sampling probabilities
+      percentiles<-quantile(removeProba,  probs=c(0.2, 0.8))
+      removeProba[which(removeProba  >= percentiles["80%"])] <- percentiles["80%"]
+      removeProba[which(removeProba  <= percentiles["20%"])] <- percentiles["20%"]
+      candidateRemove<-removeProba[as.character(record[i,3])]
+
+      print(candidateRemove) 
+      print(candidateAdd)
+      if (runif(1) < min( 1, exp(estimNew[i] - estimNew[i-1] + log(removeStep) - log(addStep) + log(candidateRemove) - log(candidateAdd) )))  {     ### accept "add species"  with prob min{1, P(D|i)*P(removeSpecies)*P(remove Specific Species)/P(D|i-1)*P(addSpecies)*P(add specific species) 
+
+        ######## Accept move #######
+        estimNew[i,]<-estimNew[i,]                                  ### if move is accepted, record new logL
+        speciestoUse[[1]]<-speciestoUse[[2]]                        ### if move is accepted, tentative species becomes present species.
+        abundUsedSpecies[[1]]<-abundUsedSpecies[[2]]                        ###       -->>-->>--   , abundances of new set of species are kept  
+        cat('Present species become:', speciestoUse[[1]], '\n')
+
+      }  else {                                                    ######### Reject Move ########
+        estimNew[i,]<-estimNew[i-1,]                               ### if move is rejected, record previous logL
+        speciestoUse[[1]]<-speciestoUse[[1]]                       ### if move is rejected, keep present species as it is.
+        abundUsedSpecies[[1]]<-abundUsedSpecies[[1]]
+        cat('Present species remain:', speciestoUse[[1]], '\n')    ### temporary
+      }
+
+    }    ### close  if(stepAdd==TRUE)
+
+    
+    else {   ########################################  type of move was to remove species   ##############
+      removeProba<-(1/abundUsedSpecies[[1]])/sum(1/abundUsedSpecies[[1]])   ###### sampling weight inversely proportional to size. Do this for present Species
+      candidateRemove<-removeProba[as.character(record[i,3])]
+      candidateAdd<-allSpecies[allSpecies[,1]==(as.character(record[i,3])),2]
+
+      
+      if (runif(1) < min( 1, exp(estimNew[i] - estimNew[i-1] + log(addStep) - log(removeStep) + log(candidateAdd) - log(candidateRemove) ))) {############# Accept "remove species"        
+        estimNew[i,]<-estimNew[i,]
+        speciestoUse[[1]]<-speciestoUse[[2]]                       ### tentative species becomes present species.
+        abundUsedSpecies[[1]]<-abundUsedSpecies[[2]]
+        cat('Present species become:', speciestoUse[[1]], '\n')    
+        
+      }  else {                                                    ######## Reject Move ###########
+        estimNew[i,]<-estimNew[i-1,]
+        speciestoUse[[1]]<-speciestoUse[[1]]
+        abundUsedSpecies[[1]]<-abundUsedSpecies[[1]]
+        cat('Present species remain:', speciestoUse[[1]], '\n')          
+      }
+
+    }   ###close else (i.e (stepAdd==FALSE))
+    
+#################################edw tha kanw attempt to direct swap between slaves, without going through master
+       
+    if( i%%exchangeInterval == 0 ){   ### every nth (2nd for now) iteration
+      message("\n\nTime to attempt an exchange")      
+      oddFlag<-oddFlag+1
+      swap<-0
+      estim.current<-estimNew[i,]/temper[ind]    ######### need untempered logL
+
+      
+########################################### CREATE prime tags for object to send around
+      allowedLength<-175
+      Nsubobjects<-round(length(abundUsedSpecies[[1]])/allowedLength)+1
+      object.ids <- list.integers[ (noChains+1):(noChains + 4 + Nsubobjects) ]    ### 4 objcts for logL, swap message, untempered , species PLUS as many as necessary for abundances            
+
+      if (ind%%2 == oddFlag%%2) {  ###when oddFlag zero , the following code concerns even-numbered slaves. For oddFlag 1, it concerns odd-numbered slaves.                 
+        ind.partner<-ind+1
+
+        if (0<ind.partner && ind.partner<(noChains+1)){           
+          estim.partner<-mpi.recv.Robj(ind.partner, tag=object.ids[1]*node.ids[ind.partner])  #### receive the logdensity of above  partner
+          message("I received the untempered: ", estim.partner)
+          swaps.attempted<-swaps.attempted+1          
+          lalpha<-(estim.partner - estim.current)*(temper[ind] - temper[ind.partner] )
+          message("This is the acceptance probability: ", min(1,exp(lalpha)))
+          
+          if (runif(1)< min(1, exp(lalpha))) {    ############# exp((chain2 - chain1)*(T1 - T2))
+            message("I exchanged the values")               
+            swap<-1         
+          }   ## end of if runif(1)<lalpha M-H step
+
+          else {message("I didn't exchange the values")}
+          
+          mpi.send.Robj(obj=swap,dest=ind.partner,tag=object.ids[2]*node.ids[ind])
+          message("I send message swap: ", swap)
+        }     ### end of   if (0<ind.partner && ind.partner<(noChains+1)){          
+
+        if(swap==1){
+          swaps.accepted<-swaps.accepted+1
+
+          mpi.send.Robj(obj=estim.current,dest=ind.partner,tag=object.ids[3]*node.ids[ind])
+          message("I just sent the untempered: ", estim.current)
+          species.swap<-speciestoUse[[1]]
+          mpi.send.Robj(species.swap,dest=ind.partner,tag=object.ids[4]*node.ids[ind])
+          speciestoUse[[1]]<-mpi.recv.Robj(ind.partner,tag=object.ids[4]*node.ids[ind.partner])
+          
+          abund.swap<-abundUsedSpecies[[1]]
+          mpi.send.Robj(abund.swap,dest=ind.partner,tag=object.ids[5]*node.ids[ind])
+          abundUsedSpecies[[1]]<-mpi.recv.Robj(ind.partner,tag=object.ids[5]*node.ids[ind.partner])
+          
+
+          message("I received the following abundances from: ", ind.partner, " here ", ind)
+          message("The new logdensity will be the one of the neighbor but tempered with my temperature: ", estim.partner*temper[ind])
+          estimNew[i,]<-estim.partner * temper[ind]
+        }     ### end of if(swap==1)         
+        
+      } else {  ##### ###when oddFlag zero , the following code concerns odd-numbered slaves. For oddFlag 1, it concerns even-numbered slaves. I.e say what partners should do
+        ind.partner<-ind-1;           
+        if(0<ind.partner && ind.partner<(noChains+1)){
+          mpi.send.Robj(obj=estim.current,dest=ind.partner,tag=object.ids[1]*node.ids[ind])
+          message("I just sent the untempered: ", estim.current)
+          swap<-mpi.recv.Robj(ind.partner,tag=object.ids[2]*node.ids[ind.partner])
+          message("I received the swap message: ", swap)
+          swaps.attempted<-swaps.attempted+1
+        }  ####end of  if(0<ind.partner && ind.partner<(noChains+1)){
+          
+                  
+        if(swap==1){
+          swaps.accepted<-swaps.accepted+1
+          estim.partner<-mpi.recv.Robj(ind.partner, tag=object.ids[3]*node.ids[ind.partner] )  #### receive the logdensity of above  partner
+          message("I received the untempered: ", estim.partner)
+
+          species.swap<-speciestoUse[[1]]        
+
+          speciestoUse[[1]]<-mpi.recv.Robj(ind.partner,tag=object.ids[4]*node.ids[ind.partner])           
+          mpi.send.Robj(species.swap,dest=ind.partner,tag=object.ids[4]*node.ids[ind])
+          
+          abund.swap<-abundUsedSpecies[[1]]
+          abundUsedSpecies[[1]]<-mpi.recv.Robj(ind.partner,tag=object.ids[5]*node.ids[ind.partner])
+          mpi.send.Robj(abund.swap,dest=ind.partner,tag=object.ids[5]*node.ids[ind])
+                    
+          message("I received the following species from: ", ind.partner, " here ", ind)
+          message("The new logdensity will be the one of the neighbor but tempered with my temperature: ", estim.partner*temper[ind])
+          estimNew[i,]<-estim.partner * temper[ind]          
+        }
+      }
+    }
+
+############ Use indicator variable for species presence per iteration
+    record[i, speciestoUse[[1]]]<-ifelse(speciestoUse[[1]] %in% colnames(record), 1, 0)
+    record[i,(5+lenSp)]<-estimNew[i,]             ###last colum is logL
+    
+  }    ###end of for loop for internal iterations
+  
+  resultSC<-list("estimNew"=estimNew, "record"=record, "usedSp"=speciestoUse[[1]], "abundUsedSp" = abundUsedSpecies[[1]], "swaps.attempt"=swaps.attempted, "swaps.accept"=swaps.accepted, "readSupport"=readSupport, "lpenalty"=lpenalty)
+  return(resultSC)  
+   
+}    ##end of singleChain function
+
+
+##########################################----------------------- MAIN ---------------------------
+###send function to slaves
+mpi.bcast.Robj2slave(singleChain)
+
+### Now call the single chain function
+message('Start parallel tempering')
+result<-mpi.remote.exec(singleChain(TotalIter, exchangeInterval))
+EndTime<-Sys.time()
+duration<-EndTime-StartTime
+message('PT finished in ', duration, ". ", nrow(ordered.species), " species were explored in ", ExternIter, "x", noChains, " iterations.")
+
+step3<-list("result"=result, "duration"=duration)
+
+  if (!is.null(outDir)) {
+    step3.name <- paste(outDir, "/step3.RData", sep = "")
+    save(step3, file=step3.name)
+    rm(list= ls()[!ls() %in% c("step3")])
+    gc()
+  } else {
+    rm(list= ls()[!ls() %in% c("step3")])
+    gc()
+  }
+
+  
+mpi.close.Rslaves(dellog=FALSE)
+#mpi.quit()
+
+return(step3)
+}
+
diff --git a/R/step4_bayesModelAver.R b/R/step4_bayesModelAver.R
new file mode 100644
index 0000000..7ba6d6b
--- /dev/null
+++ b/R/step4_bayesModelAver.R
@@ -0,0 +1,456 @@
+################################################ Perform Bayesian Model Averaging ###############################################
+#' @name bayes.model.aver
+#' @title Bayesian Model Averaging
+NULL
+#' @rdname bayes.model.aver
+#' @title bayes.model.aver
+#' @description Perform Bayesian Model Averaging.  We concentrate on the chain with temperature=1 , i.e the untempered posterior,  to study the distribution over the model choices and perform model averaging.  We consider as present the species that have a posterior probability greater than 0.9. We then fit the mixture model with these species in order to obtain relative abundances and read classification probabilities. A tab seperated file that has a species summary is produced, as well [...]
+#' @param step3 list. The output from parallel.temper(), i.e the third step of the pipeline.  Alternatively, it can be a character string containing the path name of the ".RData" file  where step3 list was saved.         
+#' @param step2 list. The output from reduce.space(), i.e the second step of the pipeline.  Alternatively, it can be a character string containing the path name of the ".RData" file  where step2 list was saved.         
+#' @param taxon.name.map  The 'names.dmp' taxonomy names file, mapping each taxon identifier to the corresponding scientific name. It can be downloaded from  \url{ftp://ftp.ncbi.nih.gov/pub/taxonomy/taxdump.tar.gz}
+#' @param poster.prob.thr Posterior probability of presence of species threshold for reporting in the species summary. 
+#' @keywords bayes.model.aver
+#' @export bayes.model.aver
+#' @import Matrix ggplot2 data.table
+#' @importFrom gtools rdirichlet
+#' @useDynLib metaMix
+#' @examples
+#' ## See vignette for more details
+#'
+#' \dontrun{
+#' # Either load the object created by previous steps
+#' data(step2)   ## example output of step2, i.e reduce.space()
+#' data(step3)   ## example ouput of step3, i.e  parallel.temper()
+#' step4<-bayes.model.aver(step2=step2, step3=step3, taxon.name.map="pathtoFile/taxon.file")
+#'
+#' # or alternatively point to the location of the step2.RData and step3.RData objects
+#' step4<-bayes.model.aver(step2="pathtoFile/step2.RData", step3="pathtoFile/step3.RData",
+#'                         taxon.name.map="pathtoFile/taxon.file")
+#'
+#' }                                                      
+######################################################################################################################                                
+
+bayes.model.aver = function(step2, step3,  taxon.name.map=NULL, poster.prob.thr=0.9){
+
+  if (is.character(step2)) {
+    load(step2)
+  }
+
+  if (is.character(step3)) {
+    load(step3)
+  }
+
+    
+
+  should.be.in.step3 <- c("duration", "result")
+
+  should.be.in.the.list <- c("pij.sparse.mat",  "read.weights", "outDir", "gen.prob.unknown")
+
+  if (sum (!( should.be.in.step3 %in% names(step3))) > 0) {
+    message('Missing the following arguments')
+    print(names(step3)[!(should.be.in.step3 %in% names(step3))] )
+    stop()
+  } else if  (sum (!( should.be.in.the.list %in% names(step2)) ) > 0) {
+    message('Missing the following arguments')
+    print(names(step2)[!(should.be.in.the.list %in% names(step2))] )
+    stop()
+  }  else {
+    bayes.model.aver.wrapped<-function(result=step3$result, pij.sparse.mat=step2$pij.sparse.mat, read.weights=step2$read.weights, outDir=step2$outDir, gen.prob.unknown=step2$gen.prob.unknown, taxon.name.map.internal=taxon.name.map, poster.prob.thr.internal=poster.prob.thr){
+
+      fast.rmultinom.weight <- function(proba.matrix, z.matrix, seed, weights) {
+        return( .Call("C_rmultinom_weight", proba.matrix, z.matrix, weights, PACKAGE='metaMix') )
+      }
+
+      ..count..<-NULL  
+
+  
+      if (is.null(taxon.name.map.internal)) {
+        stop("Please provide the 'names.dmp' file. It can be downloaded from ftp://ftp.ncbi.nih.gov/pub/taxonomy/taxdump.tar.gz")
+      }
+       
+      nIter<- nrow(result$slave1$record)
+
+      pijSparseUnknown<-cBind(pij.sparse.mat, "unknown"=gen.prob.unknown)
+
+
+ #     message("Associate taxonIDs with scientific names: reading \"names.dmp\" can take a few minutes")
+  
+      names.dmp<-fread(input=taxon.name.map.internal, header=F, sep="|", select=c(1,2,4))
+      testTaxon<- as.data.table(lapply(names.dmp, function(x) {gsub("\t", "", x)}))
+      taxonNames<-testTaxon[which(grepl("scientific", testTaxon[["V4"]])),1:2, with=FALSE]
+      setnames(x=taxonNames, old=c("taxonID", "scientName"))
+    
+      taxonNames<-as.data.frame(taxonNames)
+  
+      ofInterest<-result$slave1$record[round(nIter/5):nIter,4:(ncol(result$slave1$record)-1)]  ##burn-in 20%
+      present.probabilities<- round(apply(ofInterest, MARGIN=2, function(x) sum(x)/length(x)), digits=2)
+      poster.prob.all<-present.probabilities[present.probabilities>0]
+
+
+      if (length(present.probabilities[present.probabilities>=poster.prob.thr.internal])>1) {  ###default                   
+        poster.prob<-present.probabilities[present.probabilities>=poster.prob.thr.internal]   ###default 
+      } else  if (length(present.probabilities[present.probabilities>=poster.prob.thr.internal])==1) {  
+        message("Only the unknown category has posterior probability>=",poster.prob.thr.internal, ". Try post.prob>=", poster.prob.thr.internal-0.1)
+        if (length(present.probabilities[present.probabilities>=(poster.prob.thr.internal-0.1)])>1) { 
+          poster.prob<-present.probabilities[present.probabilities>=(poster.prob.thr.internal-0.1)]  
+        } else { 
+          message("Only the unknown category has posterior probability>=",poster.prob.thr.internal-0.1 ,". Try post.prob>=0.5 but be careful with the interpretation of the results")
+          poster.prob<-present.probabilities[present.probabilities>=0.5] 
+        }
+      }
+
+
+      if (length(present.probabilities[present.probabilities>0.5])==1) {                   
+        stop("The method did not find any present organisms in this dataset, defining as present species with posterior probability greater than 0.5. Maybe you used the wrong reference database to annotate your sequences?")
+      }
+  
+      poster.probM<-as.data.frame(poster.prob)
+      poster.probM$taxonID<-rownames(poster.probM)
+      poster.prob.final<-merge(taxonNames, poster.probM, by.y="taxonID", by.x="taxonID", all.y=T)
+
+      
+      namesBF<-rownames(poster.probM)[!(rownames(poster.probM)%in%"unknown")]
+      ofInterestBF<-result$slave1$record[round(nIter/5):nIter,c(namesBF, "logL")]  ##burn-in 20%
+      BayesFactor<-matrix(0, ncol=2, nrow=(length(colnames(ofInterestBF))-1) )
+      BayesFactor<-as.data.frame(BayesFactor)
+      colnames(BayesFactor)<-c("taxonID", "log10BF")
+            
+      EMiter<-10
+      pij.sparse.unknown<-cBind(pij.sparse.mat, "unknown"=gen.prob.unknown)
+
+
+      for ( i in 1:(length(colnames(ofInterestBF))-1) ){
+        BayesFactor[i,"taxonID"]<-colnames(ofInterestBF)[i]
+        if (!all(ofInterestBF[,colnames(ofInterestBF)[i]]==1)) {
+          BayesFactor[i,"log10BF"]<-logmean(ofInterestBF[which(ofInterestBF[,colnames(ofInterestBF)[i]]==1),"logL"])/log(10) -  logmean(ofInterestBF[which(ofInterestBF[,colnames(ofInterestBF)[i]]==0),"logL"])/log(10)
+        } else {
+          maxLog<- ofInterestBF[which(ofInterestBF[,"logL"]==max(ofInterestBF[which(ofInterestBF[,i]==1),"logL"]))[1],]
+          namesSp<-colnames(maxLog[which(maxLog==1)])
+          tempSet<- namesSp[!(namesSp %in% BayesFactor[i, "taxonID"])]
+          tentSet<- c(tempSet,"unknown")
+          noSpecies<-length(tentSet)
+          hyperP<-rep(1, noSpecies)
+          startW<-rdirichlet(1, hyperP)
+          output10Tent<-EM(pij=pij.sparse.unknown, iter=EMiter, species=tentSet, abund=startW, readWeights = read.weights)
+          #lpenalty<-(computePenalty(readSupport=result$readSupport, readWeights=read.weights, pUnknown=gen.prob.unknown))/log(10)
+          lpenalty<-(result$slave1$lpenalty)/log(10)
+          estimator <- (output10Tent$logL[EMiter,2])/log(10) + (noSpecies * lpenalty)
+          BayesFactor[i,"log10BF"]<-(maxLog[,"logL"])/log(10) -  estimator
+        }
+      }
+            
+
+      
+      
+      
+      poster.prob.final[which(poster.prob.final[,"taxonID"]=="unknown"),"scientName"]<-"unknown"
+  
+      poster.prob<-poster.prob.final[order(-poster.prob.final[,"poster.prob"]),]
+
+      finalSpecies<-poster.prob[,"taxonID"]
+      noSpecies<-length(finalSpecies)
+  
+###parameters for gibbs
+      hyperP<-rep(1, noSpecies)
+      startW<-rdirichlet(1, hyperP)
+
+      BurnIn<-50
+      GibbsCycles<-100
+
+#      message("Running final longer chain")
+      output100<-Gibbs(pij=pijSparseUnknown, iter=GibbsCycles, species=finalSpecies, abund=startW,  hyperParam=hyperP, fast.rmultinom.weight=fast.rmultinom.weight, readWeights=read.weights)
+      finalAssignments<-matrix(output100$assignments[GibbsCycles,], ncol=1, dimnames=list(colnames(output100$assignments[GibbsCycles,])))
+      finalAssignmentsDF <- data.frame(taxonID=rownames(finalAssignments), finalAssignments=unlist(finalAssignments))
+      finalAssignmentsDF<- finalAssignmentsDF[which(finalAssignmentsDF$taxonID!="Iter"),]
+
+
+      presentSpecies<-merge(taxonNames, finalAssignmentsDF, by.y="taxonID", by.x="taxonID" ,all.y=T)
+      presentSpecies[presentSpecies[,"taxonID"]=="unknown",][,"scientName"]<-"unknown"
+      presentSpecies<-presentSpecies[as.numeric(order(presentSpecies[,"finalAssignments"]), decreasing=TRUE),]
+  
+  
+      presentSpecies.allInfo.temp<-merge(presentSpecies, poster.probM, by.y="taxonID", by.x="taxonID", all.y=T)
+      presentSpecies.allInfo<- merge(presentSpecies.allInfo.temp, BayesFactor, by.x ="taxonID", all.x=T)
+
+      presentSpecies.allInfo<-presentSpecies.allInfo[order(as.numeric(presentSpecies.allInfo[,"finalAssignments"]), decreasing=TRUE),]
+  
+      
+      summary.name <- paste(outDir, "/presentSpecies_assignedReads.tsv", sep="")
+  
+
+
+
+###Classification Probability
+
+      noSpecies<-nrow(presentSpecies)
+      mean1000<-output100$abundances[GibbsCycles,2:(noSpecies+1)]
+      zij<-output100$pijs %*% diag(mean1000)
+      sumProd<-rowSums(zij)
+      zijFinal <- as.matrix(zij / sumProd)
+      colnames(zijFinal)<-colnames(output100$pijs)
+      zijFinal<-zijFinal[,presentSpecies[,"taxonID"]]
+
+
+
+      assignedReads<-list()
+      classProb<-list()
+      for (i in presentSpecies[,"taxonID"]){
+        assignedReads[[i]]<-rownames(output100$assignedReads[output100$assignedReads[,i]>0,])
+        classProb[[i]]<-zijFinal[assignedReads[[i]], i]
+      }
+
+
+      scientNames<-vector()
+      for (i in names(classProb)) {
+        scN<-presentSpecies[presentSpecies[,"taxonID"]==i, "scientName"]
+        scientNames<-append(scientNames, scN)
+      }
+      names(classProb)<-scientNames
+
+
+  
+      step4<-list("result"=result,  "pij.sparse.mat"=pijSparseUnknown,   "presentSpecies.allInfo"=presentSpecies.allInfo,  "output100"=output100,  "assignedReads"=assignedReads, "classProb"=classProb)
+
+
+      if (!is.null(outDir)) {
+        histograms.name<-paste(outDir, "/histograms_cdf.pdf", sep="")
+        pdf(histograms.name)
+        for (i in names(classProb)) {
+
+          if ( length(classProb[[i]])>1 ){
+            temp<-data.frame(read=names(classProb[[i]]), prob=classProb[[i]], stringsAsFactors=F)
+
+            temp2<-merge(temp, read.weights, by= "read", all.x=T )
+
+            temp3<-temp2[rep(seq_len(nrow(temp2)), temp2$weight),c("read", "prob")]  ### edw einai to provlima sth vignette
+
+
+            ploti<-ggplot(temp3, aes(x=get('prob'))) + stat_bin(aes(y=..count../sum(..count..), fill = ..count../sum(..count..)), breaks=c(0,0.1, 0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1) ) + stat_ecdf() + labs(list(title = paste(nrow(temp3),"reads assigned to ", i), x = "Classification probability", y = "Percentage of reads")) + guides(fill=guide_legend(title="Percentage of reads")) +  scale_x_continuous(breaks=c(0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1) ) + theme(plot.title = element_text(size = 12))
+          #print(ploti)
+          #suppressMessages(print(ploti))
+
+            suppressMessages(suppressWarnings(print(ploti)))
+          }
+        }
+        dev.off()
+
+
+        traceplot1<-paste(outDir, "/logLikelihood_traceplot_all.pdf" ,sep="")
+        pdf(traceplot1)
+        plot(result$slave1$record[1:nIter,"logL"], type="l",  xlab="All iterations", ylab="Log-likelihood", main="Parallel Tempering - Coldest Chain", lwd=1.5)
+        dev.off()
+
+        traceplot2<-paste(outDir, "/logLikelihood_traceplot_80.pdf", sep="")
+        pdf(traceplot2)
+        plot(result$slave1$record[(nIter/5):nIter,"logL"], type="l", col="dodgerblue", xlab="Last 80% of iterations", ylab="Log-likelihood", main="Parallel Tempering - Coldest Chain", lwd=1.5)
+        dev.off()
+
+        
+  #      message("Results in ", summary.name)
+        write.table(presentSpecies.allInfo, summary.name, sep="\t")
+    
+        step4.name <- paste(outDir, "/step4.RData", sep="")
+        save(step4, file=step4.name)
+        rm(list= ls()[!ls() %in% c("step4")])
+        gc()
+
+      } else {
+        rm(list= ls()[!ls() %in% c("step4")])
+        gc()
+      }
+
+    
+      return(step4) 
+      
+    }
+
+    bayes.model.aver.wrapped()
+
+  }
+
+}
+
+#' @rdname bayes.model.aver   
+#' @title bayes.model.aver.explicit
+#' @description  bayes.model.aver.explicit is the same function as bayes.model.aver with a more involved syntax.
+#' @param result The list produced by parallel.temper()  (or paraller.temper.nucl()) . It holds a detailed record for each chain, what moves were proposed, which were accepted and which were rejected as well the log-likelihood through the iterations.
+#' @param pij.sparse.mat see ?reduce.space
+#' @param read.weights  see ?reduce.space
+#' @param gen.prob.unknown  see ?reduce.space
+#' @param outDir  see ?reduce.space
+#' @keywords bayes.model.aver.explicit
+#' @export bayes.model.aver.explicit
+#' @import Matrix ggplot2 data.table
+#' @importFrom gtools rdirichlet
+#' @useDynLib metaMix
+##########################-------------------------------------------- MAIN ---------------------------------------------------------------------------------                     
+
+bayes.model.aver.explicit<-function(result, pij.sparse.mat, read.weights, outDir, gen.prob.unknown,  taxon.name.map=NULL, poster.prob.thr=0.9){
+
+  fast.rmultinom.weight <- function(proba.matrix, z.matrix, seed, weights) {
+    return( .Call("C_rmultinom_weight", proba.matrix, z.matrix, weights, PACKAGE='metaMix') )
+  }
+
+  ..count..<-NULL  
+
+  
+  if (is.null(taxon.name.map)) {
+    stop("Please provide the 'names.dmp' file. It can be downloaded from ftp://ftp.ncbi.nih.gov/pub/taxonomy/taxdump.tar.gz")
+  }
+       
+  nIter<- nrow(result$slave1$record)
+
+  pijSparseUnknown<-cBind(pij.sparse.mat, "unknown"=gen.prob.unknown)
+
+
+  message("Associate taxonIDs with scientific names: reading \"names.dmp\" could take a couple of minutes")
+  
+  names.dmp<-fread(input=taxon.name.map, header=F, sep="|", select=c(1,2,4))
+  testTaxon<- as.data.table(lapply(names.dmp, function(x) {gsub("\t", "", x)}))
+  taxonNames<-testTaxon[which(grepl("scientific", testTaxon[["V4"]])),1:2, with=FALSE]
+  setnames(x=taxonNames, old=c("taxonID", "scientName"))
+    
+  taxonNames<-as.data.frame(taxonNames)
+  
+  ofInterest<-result$slave1$record[round(nIter/5):nIter,4:(ncol(result$slave1$record)-1)]  ##burn-in 20%
+  present.probabilities<- round(apply(ofInterest, MARGIN=2, function(x) sum(x)/length(x)), digits=2)
+  poster.prob.all<-present.probabilities[present.probabilities>0]
+
+
+  if (length(present.probabilities[present.probabilities>=poster.prob.thr])>1) {  ###default                   
+    poster.prob<-present.probabilities[present.probabilities>=poster.prob.thr]   ###default 
+  } else  if (length(present.probabilities[present.probabilities>=poster.prob.thr])==1) {  
+    message("Only the unknown category has posterior probability>=",poster.prob.thr, ". Try post.prob>=", poster.prob.thr-0.1)
+    if (length(present.probabilities[present.probabilities>=(poster.prob.thr-0.1)])>1) { 
+      poster.prob<-present.probabilities[present.probabilities>=(poster.prob.thr-0.1)]  
+    } else { 
+      message("Only the unknown category has posterior probability>=",poster.prob.thr-0.1 ,". Try post.prob>=0.5 but be careful with the interpretation of the results")
+      poster.prob<-present.probabilities[present.probabilities>=0.5] 
+    }
+  }
+
+
+    if (length(present.probabilities[present.probabilities>0.5])==1) {                   
+      stop("The method did not find any present organisms in this dataset, defining as present species with posterior probability greater than 0.5. Maybe you used the wrong reference database to annotate your sequences?")
+    }
+  
+
+  poster.probM<-as.data.frame(poster.prob)
+  poster.probM$taxonID<-rownames(poster.probM)
+  poster.prob.final<-merge(taxonNames, poster.probM, by.y="taxonID", by.x="taxonID", all.y=T)
+
+  poster.prob.final[which(poster.prob.final[,"taxonID"]=="unknown"),"scientName"]<-"unknown"
+  
+  poster.prob<-poster.prob.final[order(-poster.prob.final[,"poster.prob"]),]
+
+  finalSpecies<-poster.prob[,"taxonID"]
+  noSpecies<-length(finalSpecies)
+  
+###parameters for gibbs
+  hyperP<-rep(1, noSpecies)
+  startW<-rdirichlet(1, hyperP)
+
+  BurnIn<-50
+  GibbsCycles<-100
+
+#  message("Running final longer chain")
+  output100<-Gibbs(pij=pijSparseUnknown, iter=GibbsCycles, species=finalSpecies, abund=startW,  hyperParam=hyperP, fast.rmultinom.weight=fast.rmultinom.weight, readWeights=read.weights)
+  finalAssignments<-matrix(output100$assignments[GibbsCycles,], ncol=1, dimnames=list(colnames(output100$assignments[GibbsCycles,])))
+  finalAssignmentsDF <- data.frame(taxonID=rownames(finalAssignments), finalAssignments=unlist(finalAssignments))
+  finalAssignmentsDF<- finalAssignmentsDF[which(finalAssignmentsDF$taxonID!="Iter"),]
+
+
+  presentSpecies<-merge(taxonNames, finalAssignmentsDF, by.y="taxonID", by.x="taxonID" ,all.y=T)
+  presentSpecies[presentSpecies[,"taxonID"]=="unknown",][,"scientName"]<-"unknown"
+  presentSpecies<-presentSpecies[as.numeric(order(presentSpecies[,"finalAssignments"]), decreasing=TRUE),]
+  
+  
+  presentSpecies.allInfo<-merge(presentSpecies, poster.probM, by.y="taxonID", by.x="taxonID", all.y=T)
+  presentSpecies.allInfo<-presentSpecies.allInfo[order(as.numeric(presentSpecies.allInfo[,"finalAssignments"]), decreasing=TRUE),]
+  
+
+  summary.name <- paste(outDir, "/presentSpecies_assignedReads.tsv", sep="")
+  
+
+
+
+###Classification Probability
+
+  noSpecies<-nrow(presentSpecies)
+  mean1000<-output100$abundances[GibbsCycles,2:(noSpecies+1)]
+  zij<-output100$pijs %*% diag(mean1000)
+  sumProd<-rowSums(zij)
+  zijFinal <- as.matrix(zij / sumProd)
+  colnames(zijFinal)<-colnames(output100$pijs)
+  zijFinal<-zijFinal[,presentSpecies[,"taxonID"]]
+
+
+
+  assignedReads<-list()
+  classProb<-list()
+  for (i in presentSpecies[,"taxonID"]){
+    assignedReads[[i]]<-rownames(output100$assignedReads[output100$assignedReads[,i]>0,])
+    classProb[[i]]<-zijFinal[assignedReads[[i]], i]
+  }
+
+
+  scientNames<-vector()
+  for (i in names(classProb)) {
+    scN<-presentSpecies[presentSpecies[,"taxonID"]==i, "scientName"]
+    scientNames<-append(scientNames, scN)
+  }
+  names(classProb)<-scientNames
+
+
+  
+  step4<-list("result"=result,  "pij.sparse.mat"=pijSparseUnknown,   "presentSpecies.allInfo"=presentSpecies.allInfo,  "output100"=output100,  "assignedReads"=assignedReads, "classProb"=classProb)
+
+
+  if (!is.null(outDir)) {
+    histograms.name<-paste(outDir, "/histograms_cdf.pdf", sep="")
+    pdf(histograms.name)
+    for (i in names(classProb)) {
+      temp<-data.frame(read=names(classProb[[i]]), prob=classProb[[i]], stringsAsFactors=F)
+      temp2<-merge(temp, read.weights, by= "read", all.x=T )
+     
+      temp3<-temp2[rep(seq_len(nrow(temp2)), temp2$weight),c("read", "prob")]
+
+#      ploti<-ggplot(temp3, aes(x=get('prob'))) + stat_bin(aes(y=..count../sum(..count..), fill = ..count../sum(..count..))) + stat_ecdf() + labs(list(title = paste(nrow(temp3),"reads assigned to ", i), x = "Classification probability", y = "Percentage of reads")) + guides(fill=guide_legend(title="Percentage of reads"))  + scale_x_continuous(breaks=c(0,0.1, 0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1) ) + theme(plot.title = element_text(size = 12))
+
+      ploti<-ggplot(temp3, aes(x=get('prob'))) + stat_bin(aes(y=..count../sum(..count..), fill = ..count../sum(..count..)), breaks=c(0,0.1, 0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1)) + stat_ecdf() + labs(list(title = paste(nrow(temp3),"reads assigned to ", i), x = "Classification probability", y = "Percentage of reads")) + guides(fill=guide_legend(title="Percentage of reads"))  +  scale_x_continuous(breaks=c(0,0.1, 0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1) ) + theme(plot.title = element_text(size = 12))
+      #print(ploti)
+      #suppressMessages(print(ploti))
+
+      suppressMessages(suppressWarnings(print(ploti)))
+    }
+    dev.off()
+
+
+    traceplot1<-paste(outDir, "/logLikelihood_traceplot_all.pdf", sep="")
+    pdf(traceplot1)
+    plot(result$slave1$record[1:nIter,"logL"], type="l",  xlab="All iterations", ylab="Log-likelihood", main="Parallel Tempering - Coldest Chain", lwd=1.5)
+    dev.off()
+
+    traceplot2<-paste(outDir, "/logLikelihood_traceplot_80.pdf", sep="")
+    pdf(traceplot2)
+    plot(result$slave1$record[(nIter/5):nIter,"logL"], type="l", col="dodgerblue", xlab="Last 80% of iterations", ylab="Log-likelihood", main="Parallel Tempering - Coldest Chain", lwd=1.5)
+    dev.off()
+    
+    #message("Results in ", summary.name)
+    write.table(presentSpecies.allInfo, summary.name, sep="\t")
+    
+    step4.name <- paste(outDir, "/step4.RData", sep="")
+    save(step4, file=step4.name)
+    rm(list= ls()[!ls() %in% c("step4")])
+    gc()
+
+  } else {
+    rm(list= ls()[!ls() %in% c("step4")])
+    gc()
+  }
+
+    
+  return(step4) 
+
+}
+
diff --git a/R/zzz.R b/R/zzz.R
new file mode 100644
index 0000000..a6693ce
--- /dev/null
+++ b/R/zzz.R
@@ -0,0 +1,10 @@
+### This idiom is now obsolete
+#.First.lib <- function(libname, package) {
+#  library.dynam("metaMix", package)
+#}
+
+.onLoad <- function(lib, pkg) {
+# library.dynam("metaMix", package)
+}
+
+
diff --git a/build/vignette.rds b/build/vignette.rds
new file mode 100644
index 0000000..f4757af
Binary files /dev/null and b/build/vignette.rds differ
diff --git a/data/step1.RData b/data/step1.RData
new file mode 100644
index 0000000..2703577
Binary files /dev/null and b/data/step1.RData differ
diff --git a/data/step2.RData b/data/step2.RData
new file mode 100644
index 0000000..17a9efc
Binary files /dev/null and b/data/step2.RData differ
diff --git a/data/step3.RData b/data/step3.RData
new file mode 100644
index 0000000..de620ab
Binary files /dev/null and b/data/step3.RData differ
diff --git a/inst/doc/guide.R b/inst/doc/guide.R
new file mode 100644
index 0000000..667cbbd
--- /dev/null
+++ b/inst/doc/guide.R
@@ -0,0 +1,106 @@
+## ----setup, echo=FALSE--------------------------------------------------------
+options(tidy=TRUE, width=80)
+
+## ----echo=TRUE, eval=TRUE-----------------------------------------------------
+library(metaMix)
+###Location of input files.
+datapath <- system.file("extdata", package="metaMix")
+blastOut.default<-file.path(datapath, "blastOut_default.tab")
+read.table(blastOut.default, nrows=2, sep="\t")
+
+## ----echo=TRUE, eval=TRUE-----------------------------------------------------
+read.lengths<-file.path(datapath, "read_lengths.tab")
+read.weights<-file.path(datapath, "read_weights.tab")
+taxon.file<-file.path(datapath, "gi_taxid_prot_example.dmp")
+
+read.table(read.lengths, nrows=2, sep="\t")
+read.table(read.weights, nrows=2, sep="\t")
+read.table(taxon.file, nrows=2, sep="\t")
+
+## ----echo=TRUE, eval=TRUE-----------------------------------------------------
+blastOut.custom<-file.path(datapath, "blastOut_custom.tab")
+read.table(blastOut.custom, nrows=2, sep="\t")
+
+## ----echo=TRUE----------------------------------------------------------------
+  step1 <-generative.prob(blast.output.file = blastOut.custom,
+                          contig.weight.file=read.weights,
+                          blast.default=FALSE,
+                          outDir=NULL)
+
+## ----echo=TRUE, eval=FALSE----------------------------------------------------
+#  step1 <-generative.prob(blast.output.file = blastOut.default,
+#                          read.length.file=read.lengths,
+#                          contig.weight.file=read.weights,
+#                          gi.taxon.file = taxon.file,
+#                          blast.default=TRUE,
+#                          outDir=NULL)
+
+## ----echo=TRUE----------------------------------------------------------------
+###The resulting list consists of five elements
+names(step1)
+
+### The sparse matrix of generative probs. 
+step1$pij.sparse.mat[1:5,c("374840",  "258", "unknown")]
+
+### There are that many potential species in the sample:
+nrow(step1$ordered.species)
+
+## ----echo=TRUE, eval=FALSE----------------------------------------------------
+#  step2 <- reduce.space(step1=step1)
+
+## ----echo=TRUE, eval=FALSE----------------------------------------------------
+#  step2 <- reduce.space(step1="/pathtoFile/step1.RData")
+
+## ----echo=FALSE, eval=TRUE----------------------------------------------------
+data(step2)
+
+## ----echo=TRUE----------------------------------------------------------------
+##These are the elements of the step2 list.
+names(step2)
+
+## After this approximating step, there are now that many potential species in
+##the sample:
+nrow(step2$ordered.species)
+
+## And these are:
+step2$ordered.species
+
+## ----echo=TRUE, eval=FALSE----------------------------------------------------
+#  step3<-parallel.temper(step2=step2)
+
+## ----echo=FALSE, eval= TRUE---------------------------------------------------
+data(step3)
+
+## ----echo=TRUE----------------------------------------------------------------
+##These are the elements of the step3 list.
+names(step3)
+
+## ----echo=TRUE----------------------------------------------------------------
+## Steps MCMC took during some iterations.
+step3$result$slave1$record[10:15,]
+
+## ----echo=TRUE----------------------------------------------------------------
+## Location of the taxonomy names file.
+taxon.file<-file.path(datapath, "names_example.dmp")
+
+step4<-bayes.model.aver(step2=step2,
+                        step3=step3,
+                        taxon.name.map=taxon.file)
+
+## ----echo=TRUE----------------------------------------------------------------
+##These are the elements of the step4 list.
+names(step4)
+
+##This is the species summary
+print(step4$presentSpecies.allInfo)
+
+## ----echo=FALSE, eval=TRUE, out.width='.6\\linewidth', out.height='.6\\linewidth', fig.align='center'----
+PTastro<-file.path(datapath, "PT_plots.RData")
+load(PTastro)
+nIter<- length(PTresult$result$slave1$record[,'logL'])
+plot(PTresult$result$slave1$record[(nIter/5):nIter,'logL'], type='l', col='dodgerblue', xlab='Last 80% of iterations', ylab='Log-likelihood', main='Parallel Tempering - Coldest Chain', lwd=1.5)
+
+
+## ----echo=TRUE----------------------------------------------------------------
+sessionInfo()
+
diff --git a/inst/doc/guide.Rnw b/inst/doc/guide.Rnw
new file mode 100644
index 0000000..cdc2d32
--- /dev/null
+++ b/inst/doc/guide.Rnw
@@ -0,0 +1,355 @@
+%\VignetteEngine{knitr::knitr}
+%\VignetteIndexEntry{metaMix User Guide}
+
+\documentclass[a4paper]{article}
+\usepackage[margin=1.5cm,includefoot,footskip=30pt]{geometry}
+
+\usepackage[colorlinks=true]{hyperref}
+
+
+\usepackage{fullpage}
+
+\title{metaMix user guide}
+\author{Sofia Morfopoulou}
+\date{\today}
+
+
+\begin{document}
+\maketitle
+
+%\tableofcontents
+%\newpage
+
+<<setup, echo=FALSE>>=
+options(tidy=TRUE, width=80)
+@
+
+\section{What is new}
+  \textbf{Version 0.2:} Added Bayes Factor computation.
+
+\section{Installation}
+
+You will need to have openMPI (Message Passage Interface) installed to be able to install the R package \verb!Rmpi!, which provides the interface to openMPI. 
+\verb!Rmpi! is one of the package dependencies, along with \verb!data.table!, \verb!Matrix!, \verb!gtools! and \verb!ggplot2!.
+You can check whether you have openMPI installed using the command \verb!mpirun! and you can find more information here:\\
+\url{http://www.open-mpi.org/software/ompi}
+
+
+
+\section{Introduction}
+
+metaMix is a tool designed to identify the set of species most likely to be present in a metagenomic community.   
+metaMix also estimates their relative abundances  and resolves ambiguous assignments by considering all reads simultaneously.
+
+metaMix considers the competing  models that could accommodate our observed data, i.e the BLASTx results and compares them. 
+The different mixture models represent different sets of species being present in the sample. 
+The method is structured in the following manner: in the first instance we assume that a set of species is present in the sample and we estimate the parameters given the data. 
+At the next step, we randomly add or remove a species and fit this new model. 
+The process is iterated in order to explore the model state space and we record the MCMC choices over time.
+Additionally we parallelise the process, running $n$ (usually 12) parallel chains, allowing exchange of information between them.
+Using this Bayesian Mixture Model framework, we finally perform model averaging in order to account for model uncertainty.
+
+The initial motivation for developing metaMix was  the analysis of deep transcriptome sequencing datasets, with a particular focus on viral pathogen detection.
+However the ideas are applicable more generally to all types of metagenomics mixtures.
+
+Some bionformatics processing is required prior to using metaMix.  
+This is usually filtering out the low quality, duplicate and host reads. 
+The user may wish to attempt some assembly step as well prior to resolving the mixture; however this step is not necessary. 
+More importantly, the similarities between the short reads (and/or contigs) and a reference database must be provided.   
+At the end of the analysis, the user will obtain a probabilistic summary of present species and some supporting plots.
+
+
+The  implementation of the ideas described here is computationally intensive and requires a supercomputer. 
+However for the purposes of this tutorial, we demonstrate the usage on a toy example and all the steps can be performed on a single machine.
+
+
+%\newpage
+
+\section{Tutorial}
+\subsection*{Step1}
+The work described here is similarity-based, therefore the starting point is to  obtain the sequence similarity between a query and a target sequence.
+The obvious choice for this is BLAST. 
+Both nucleotide and amino acid similarities are supported. 
+We  demonstrate the use of metaMix working with the latter, i.e we have used BLASTx.
+
+\begin{description}
+\item[Default BLAST output] 
+
+The default output tabular file is supported,  obtained using \verb!-outfmt 6! in the BLAST command.
+
+<<engine='bash', eval=FALSE, echo=TRUE>>=
+  blastx -db referenceDB -query input.fa  -outfmt 6  -max_target_seqs 10
+@ 
+
+
+The default output file has the following fields:\\
+\verb!Query ID!, \verb!Subject ID!, \verb!% Identity!, \verb!Alignment Length!, \verb!Mismatches!, \verb!Gap Openings!, \verb!Query Start!, \verb!Query End!, \verb!Subject Start!, \verb!Subject End!, \verb!E-value!, \verb!Bit Score!.
+
+
+<<echo=TRUE, eval=TRUE>>=
+library(metaMix)
+###Location of input files.
+datapath <- system.file("extdata", package="metaMix")
+blastOut.default<-file.path(datapath, "blastOut_default.tab")
+read.table(blastOut.default, nrows=2, sep="\t")
+@ 
+
+metaMix needs information on the read lengths as well as a file mapping the gi identifiers to the taxon identifiers. These are not included in the default output of BLAST, therefore should be provided as additional arguments.
+
+<<echo=TRUE, eval=TRUE>>=
+read.lengths<-file.path(datapath, "read_lengths.tab")
+read.weights<-file.path(datapath, "read_weights.tab")
+taxon.file<-file.path(datapath, "gi_taxid_prot_example.dmp")
+
+read.table(read.lengths, nrows=2, sep="\t")
+read.table(read.weights, nrows=2, sep="\t")
+read.table(taxon.file, nrows=2, sep="\t")
+@ 
+
+
+\item[Custom BLAST output] 
+
+Alternatively, metaMix accepts a custom BLAST output file that has already incorporated the read lengths and the taxon identifiers.
+At the moment, only the output that is produced by the following command is supported:
+
+<<engine='bash', eval=FALSE, echo=TRUE>>=
+    blastx -db referenceDB -query input.fa -max_target_seqs 10
+  -outfmt "6 qacc qlen sacc slen mismatch bitscore length pident evalue staxids"
+@ 
+
+Therefore the fields are \\ \verb!Query ID!, \verb!Query Length!, \verb!Subject ID!, \verb!Subject Length!, \verb!Mismatches!,   \verb!Bit Score!,  \verb!Alignment Length!, \verb!%Identity!,  \verb!E-value!, \verb!Taxon ID!.
+
+<<echo=TRUE, eval=TRUE>>=
+blastOut.custom<-file.path(datapath, "blastOut_custom.tab")
+read.table(blastOut.custom, nrows=2, sep="\t")
+@ 
+\end{description} \vspace{5mm}
+The first step in the analysis is to compute the read-species generative probabilities based on  the BLASTx data. 
+We achieve this by using the \verb!generative.prob()! function. 
+In this instance we will work with the custom BLAST output file.
+
+  
+<<echo=TRUE>>=
+  step1 <-generative.prob(blast.output.file = blastOut.custom,
+                          contig.weight.file=read.weights,
+                          blast.default=FALSE,
+                          outDir=NULL)
+@ 
+
+where \verb!blast.default! denotes whether we are working with the BLAST default output (TRUE) or with the specified above custom output (FALSE). 
+
+\verb!blast.output.file! is the  tabular BLASTx output file. 
+
+If we are working with unassembled reads, we can omit the argument \verb!contig.weight.file! as the weight is set by default to be 1, same for all reads. 
+However if an assembly step has been performed, as in this example, we need to provide information on the number of reads that make up each contig.   
+This will be a two column tab-separated file, where the first column is  the contig identifier and the second the number of reads. 
+
+Finally \verb!outDir! is the  directory where the results are written and where an object from each step is saved. When it is set to NULL no objects will be saved. 
+
+\vspace{3mm}
+\emph{NOTE}: If we were using the default BLAST output the command would look like so:  
+
+<<echo=TRUE, eval=FALSE>>=
+step1 <-generative.prob(blast.output.file = blastOut.default,
+                        read.length.file=read.lengths,
+                        contig.weight.file=read.weights,
+                        gi.taxon.file = taxon.file,
+                        blast.default=TRUE,
+                        outDir=NULL)
+@ 
+
+The information missing from the BLAST file is now provided with two extra arguments:
+\verb!read.length.file! can be either the file mapping each read to its sequence length or a numerical value, representing the average read length (default value=100).
+
+\verb!'gi_taxid_prot.dmp'!  is a taxonomy file, mapping each protein gi identifier to the corresponding taxon identifier.  
+It can  be downloaded from \\ \url{ftp://ftp.ncbi.nih.gov/pub/taxonomy/gi_taxid_prot.dmp.gz}  \\
+
+
+
+The function \verb!generative.prob! creates a list of five elements. 
+One of these is a sparse matrix \verb!pij.sparse.mat! where each row corresponds to one read and each column to a species. The value of the cell is the generative probability $p_{ij}$.  
+Additionally a \verb!data.frame! with all the species that correspond to the proteins in the BLASTx output file.
+Finally the \verb!read.weights!, \verb!gen.prob.unknown! and \verb!outDir! are the other three elements of the list \verb!step1!,  carried forward to be used in the second step.
+
+
+<<echo=TRUE>>=
+###The resulting list consists of five elements
+names(step1)
+
+### The sparse matrix of generative probs. 
+step1$pij.sparse.mat[1:5,c("374840",  "258", "unknown")]
+
+### There are that many potential species in the sample:
+nrow(step1$ordered.species)
+@
+
+\subsection*{Step2}
+Having the generative probabilities from the previous step (generative.prob), we could proceed directly with the PT MCMC to explore the state space. 
+However, typically the number of all potential species $S$ is large.  We are therefore interested in reducing the size of the species pool, from the thousands to the low hundreds. 
+
+In this simple example we have only 224  organisms but still we  attempt to reduce it for demonstrating the usage of the function.
+We achieve this by fitting a mixture model with 224 categories, considering all 224 potential species simultaneously. 
+Post fitting, we retain only the species categories that are not empty, that is the categories that have at least one read assigned to them.
+The required argument is simply the list created in the first step, i.e using the \verb!generative.prob! function. 
+
+
+<<echo=TRUE, eval=FALSE>>=
+step2 <- reduce.space(step1=step1)
+@ 
+
+Alternatively, if the list created in the first step was saved in a ``step1.RData'' file,  a character string containing the path to the file could be provided, i.e
+
+<<echo=TRUE, eval=FALSE>>=
+step2 <- reduce.space(step1="/pathtoFile/step1.RData")
+@ 
+
+
+To speed up computations, we have already performed step2 and saved the output which we will now load:
+
+<<echo=FALSE, eval=TRUE>>=
+data(step2)
+@
+
+
+<<echo=TRUE>>=
+##These are the elements of the step2 list.
+names(step2)
+
+## After this approximating step, there are now that many potential species in
+##the sample:
+nrow(step2$ordered.species)
+
+## And these are:
+step2$ordered.species
+@ 
+ 
+We see that even though we started with  224 potential organisms, we reduced the species space  to 7. 
+Bear in mind that this a simple example and the usual scenario is to move from  thousands of species to  hundreds.
+
+
+\subsection*{Step3}
+  In this step, the different models are considered and compared.
+The space exploration by the parallel tempering MCMC is implemented by the function \verb!parallel.temper!:
+
+
+<<echo=TRUE, eval=FALSE>>=
+step3<-parallel.temper(step2=step2)
+@ 
+
+The required argument is simply the list created in the second step (or the character string containing the path to the respective .RData file where the step2 list was saved to), i.e using the \verb!reduce.space! function.
+
+An important optional argument of this function is \verb!readSupport!. 
+For the type of data we analyse (i.e from mostly sterile human tissues) we expect that parsimonious models with a limited number of species are more likely. 
+Therefore our default model prior uses a penalty limiting the number of species in the model.
+We approximate this penalty factor based on \verb!readSupport!, which represents the species read support required from the user in order to believe in the presence of a species in the sample.
+The default value is 10 and it is suitable for when we want to detect rare signal. 
+We have found this value to work well in most human RNA-seq datasets.
+
+Same as before, we have already performed step3 and saved the output which we  now load:
+
+
+<<echo=FALSE, eval= TRUE >>=
+data(step3)
+@ 
+
+<<echo=TRUE>>=
+##These are the elements of the step3 list.
+names(step3)
+@ 
+
+<<echo=TRUE>>=
+## Steps MCMC took during some iterations.
+step3$result$slave1$record[10:15,]
+@ 
+
+For each parallel chain, the MCMC trajectory has been recorded.
+There is information on what steps were proposed, which were accepted or rejected throughout the iterations. 
+For example at iteration 10, removing species 645687 was proposed but not accepted, as denoted by the 1 in the column 645687.
+
+We can also see that between iterations 13 and 14 an exchange of the sets of species between Chain 1 and Chain 2 occurred.  
+At iter. 13 species 2 was present, while at the next one, it no longer is there. That means that the attempt at swapping the values of the two neighboring chains was successful. 
+This information is also recorded, i.e how many swaps were attempted and how many accepted.
+
+\subsection*{Step4}
+
+ Having explored the different possible models, the final step is to perform  model averaging. 
+We study the MCMC choices for Chain 1 and produce a probabilistic summary for the presence of the species.
+  
+<<echo=TRUE>>=
+## Location of the taxonomy names file.
+taxon.file<-file.path(datapath, "names_example.dmp")
+
+step4<-bayes.model.aver(step2=step2,
+                        step3=step3,
+                        taxon.name.map=taxon.file)
+			@
+ 
+The required arguments are the lists created in the second and third steps, i.e using the \verb!reduce.space! and the \verb!parallel.temper! functions.
+Additionally the taxonomy names file 'names.dmp', which can be downloaded and extracted from \url{ftp://ftp.ncbi.nih.gov/pub/taxonomy/taxdump.tar.gz}
+
+<<echo=TRUE>>=
+##These are the elements of the step4 list.
+names(step4)
+
+##This is the species summary
+print(step4$presentSpecies.allInfo)
+@
+
+We find four species with a posterior probability greater than 0.9 (default value), plus the unknown category.
+
+Finally we also produce log-likelihood traceplots for Chain 1.
+We discard the first 20\% of the iterations as burn-in and we look at the mixing of the chain.
+
+Due to having very few iterations for this toy example, the produced traceplot would not be representative or insightful. 
+Instead we present below the log-likelihood traceplot from a real dataset.
+
+
+<<echo=FALSE, eval=TRUE, out.width='.6\\linewidth', out.height='.6\\linewidth', fig.align='center'>>=
+PTastro<-file.path(datapath, "PT_plots.RData")
+load(PTastro)
+nIter<- length(PTresult$result$slave1$record[,'logL'])
+plot(PTresult$result$slave1$record[(nIter/5):nIter,'logL'], type='l', col='dodgerblue', xlab='Last 80% of iterations', ylab='Log-likelihood', main='Parallel Tempering - Coldest Chain', lwd=1.5)
+
+@
+ 
+
+\section{Submit jobs on cluster compute servers}
+In order to run steps 1, 2 and 4 of metaMix (i.e \verb!generative.prob!, \verb!reduce.space!, \verb!bayes.model.aver!) efficiently, these should be submitted as jobs to a compute cluster. 
+In our experience,  4G of memory, 1 hour of wall clock time and 1 processor should be plenty.
+
+In order to run the parallel tempering efficiently,  we need at least 12 parallel chains, each with at least 1G-2G of RAM. 
+The wall clock time depends on how many iterations will be performed. 
+Also a larger number of reads mean that the computations will become slower. 
+We typically ask for 12 hours to be on the safe side.
+
+
+
+This is a sample submission script for the third step.
+It requests 12 processors on 1 node for 12 hours.
+
+\begin{verbatim}
+#!/bin/bash
+#$ -S /bin/bash
+#$ -o cluster/out
+#$ -e cluster/error
+#$ -cwd
+#$ -pe smp 12
+#$ -l tmem=1.1G,h_vmem=1.1G
+#$ -l h_rt=12:00:00
+#$ -V
+#$ -R y
+
+mpirun -np 1 R-3.0.1/bin/R --slave CMD BATCH --no-save --no-restore step3.R
+\end{verbatim}
+
+in step3.R,  we simply load the object produced from \verb!reduce.space! and then call \verb!generative.prob!.
+Each chain will produce a log file that will be printed in your working directory
+
+
+\section{Technical information about the R session}
+
+<<echo=TRUE>>=
+sessionInfo()
+@ 
+
+\end{document}
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diff --git a/inst/extdata/blastOut_custom.tab b/inst/extdata/blastOut_custom.tab
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+NODE_1394_length_109_cov_1.091743	157	gi|89888608|ref|YP_512368.1|	553	9	93.2	51	82.35	3e-22	511969
+NODE_1394_length_109_cov_1.091743	157	gi|176120945|ref|NP_040670.2|	554	10	91.7	51	80.39	1e-21	374844
+NODE_1394_length_109_cov_1.091743	157	gi|89888096|ref|YP_512789.1|	341	14	85.1	51	72.55	6e-20	489829
+NODE_1394_length_109_cov_1.091743	157	gi|89888095|ref|YP_512788.1|	556	14	85.5	51	72.55	2e-19	489829
+NODE_1394_length_109_cov_1.091743	157	gi|9626375|ref|NP_040705.1|	120	0	30.0	14	100.00	1.1	374840
+NODE_1395_length_109_cov_1.110092	157	gi|496494567|ref|WP_009203103.1|	220	3	66.2	52	94.23	2e-13	649756
+NODE_1395_length_109_cov_1.110092	157	gi|9626381|ref|NP_040711.1|	427	3	66.6	52	94.23	6e-13	374840
+NODE_1395_length_109_cov_1.110092	157	gi|242346750|ref|YP_002985212.1|	431	13	45.8	52	75.00	1e-05	10845
+NODE_1395_length_109_cov_1.110092	157	gi|89888655|ref|YP_512416.1|	427	17	45.4	52	67.31	2e-05	489828
+NODE_1395_length_109_cov_1.110092	157	gi|89888103|ref|YP_512796.1|	426	15	45.4	52	71.15	2e-05	489829
+NODE_1395_length_109_cov_1.110092	157	gi|9625363|ref|NP_039597.1|	431	14	45.1	52	73.08	2e-05	10849
+NODE_1395_length_109_cov_1.110092	157	gi|89888616|ref|YP_512376.1|	427	15	44.7	52	71.15	3e-05	511969
+NODE_1395_length_109_cov_1.110092	157	gi|9626346|ref|NP_040678.1|	427	14	43.9	51	72.55	6e-05	374844
+NODE_1404_length_103_cov_1.019418	151	gi|9626379|ref|NP_040709.1|	91	4	68.9	35	88.57	4e-15	374840
+NODE_1404_length_103_cov_1.019418	151	gi|9626378|ref|NP_040708.1|	152	2	69.3	37	94.59	6e-15	374840
+NODE_1404_length_103_cov_1.019418	151	gi|89888612|ref|YP_512373.1|	151	9	56.6	37	75.68	3e-10	511969
+NODE_1404_length_103_cov_1.019418	151	gi|89888099|ref|YP_512793.1|	153	10	55.5	37	72.97	8e-10	489829
+NODE_1404_length_103_cov_1.019418	151	gi|9626343|ref|NP_040675.1|	152	13	52.0	37	64.86	1e-08	374844
+NODE_1404_length_103_cov_1.019418	151	gi|89888658|ref|YP_512413.1|	152	12	50.4	37	67.57	5e-08	489828
+NODE_1404_length_103_cov_1.019418	151	gi|89888100|ref|YP_512794.1|	91	11	47.4	35	68.57	4e-07	489829
+NODE_1404_length_103_cov_1.019418	151	gi|242346747|ref|YP_002985209.1|	150	10	47.4	32	68.75	6e-07	10845
+NODE_1404_length_103_cov_1.019418	151	gi|9625360|ref|NP_039594.1|	150	10	47.4	32	68.75	6e-07	10849
+NODE_1404_length_103_cov_1.019418	151	gi|89888613|ref|YP_512374.1|	91	14	42.7	35	60.00	2e-05	511969
+NODE_1477_length_107_cov_1.149533	155	gi|447057677|ref|WP_001134933.1|	522	3	  104	51	94.12	2e-26	2
+NODE_1477_length_107_cov_1.149533	155	gi|9626373|ref|NP_040703.1|	513	3	  104	51	94.12	2e-26	374840
+NODE_1477_length_107_cov_1.149533	155	gi|89888095|ref|YP_512788.1|	556	23	53.5	50	54.00	3e-08	489829
+NODE_1477_length_107_cov_1.149533	155	gi|176120945|ref|NP_040670.2|	554	25	53.1	51	50.98	4e-08	374844
+NODE_1477_length_107_cov_1.149533	155	gi|89888608|ref|YP_512368.1|	553	27	45.1	50	46.00	3e-05	511969
+NODE_1477_length_107_cov_1.149533	155	gi|495433419|ref|WP_008158114.1|	513	12	30.4	26	50.00	1.7	387661
+NODE_1477_length_107_cov_1.149533	155	gi|491868341|ref|WP_005642684.1|	513	12	30.4	26	50.00	1.7	46503
+NODE_1477_length_107_cov_1.149533	155	gi|491862216|ref|WP_005639127.1|	513	12	30.4	26	50.00	1.7	46503
+NODE_1477_length_107_cov_1.149533	155	gi|494759656|ref|WP_007495064.1|	316	14	30.4	26	46.15	1.7	292800
+NODE_1477_length_107_cov_1.149533	155	gi|495423898|ref|WP_008148595.1|	513	12	30.4	26	50.00	1.8	387661
+NODE_1505_length_105_cov_1.009524	153	gi|446410012|ref|WP_000487867.1|	175	2	  106	51	96.08	7e-29	2
+NODE_1505_length_105_cov_1.009524	153	gi|9626382|ref|NP_040712.1|	175	3	  105	51	94.12	3e-28	374840
+NODE_1505_length_105_cov_1.009524	153	gi|9626347|ref|NP_040679.1|	177	24	56.2	49	51.02	5e-10	374844
+NODE_1505_length_105_cov_1.009524	153	gi|89888617|ref|YP_512377.1|	179	27	50.4	50	46.00	6e-08	511969
+NODE_1505_length_105_cov_1.009524	153	gi|89888104|ref|YP_512797.1|	177	29	43.5	48	39.58	2e-05	489829
+NODE_1505_length_105_cov_1.009524	153	gi|89888654|ref|YP_512417.1|	181	11	42.0	27	59.26	1e-04	489828
+NODE_1505_length_105_cov_1.009524	153	gi|9625364|ref|NP_039598.1|	187	15	38.9	31	51.61	0.001	10849
+NODE_1505_length_105_cov_1.009524	153	gi|242346751|ref|YP_002985213.1|	187	15	37.7	31	51.61	0.004	10845
+NODE_1505_length_105_cov_1.009524	153	gi|491355776|ref|WP_005213697.1|	479	22	32.0	49	36.73	0.53	36834
+NODE_1505_length_105_cov_1.009524	153	gi|494929448|ref|WP_007655482.1|	275	15	30.4	32	46.88	1.7	328812
+NODE_1573_length_112_cov_1.133929	160	gi|446388692|ref|WP_000466547.1|	328	4	94.7	52	92.31	2e-23	2
+NODE_1573_length_112_cov_1.133929	160	gi|9626383|ref|NP_040713.1|	328	4	94.7	52	92.31	2e-23	374840
+NODE_1573_length_112_cov_1.133929	160	gi|9626348|ref|NP_040680.1|	337	16	60.1	49	65.31	8e-11	374844
+NODE_1573_length_112_cov_1.133929	160	gi|242346752|ref|YP_002985214.1|	332	20	60.1	52	59.62	1e-10	10845
+NODE_1573_length_112_cov_1.133929	160	gi|9625365|ref|NP_039599.1|	330	21	57.0	52	57.69	1e-09	10849
+NODE_1573_length_112_cov_1.133929	160	gi|89888618|ref|YP_512378.1|	335	19	55.5	49	59.18	4e-09	511969
+NODE_1573_length_112_cov_1.133929	160	gi|89888105|ref|YP_512798.1|	337	19	52.8	49	59.18	3e-08	489829
+NODE_1573_length_112_cov_1.133929	160	gi|89888653|ref|YP_512418.1|	325	20	42.0	44	50.00	2e-04	489828
+NODE_1573_length_112_cov_1.133929	160	gi|492294880|ref|WP_005801023.1|	72	26	27.3	44	34.09	5.3	817
+NODE_1573_length_112_cov_1.133929	160	gi|489911246|ref|WP_003814658.1|	691	29	28.1	47	31.91	10.0	1681
+ at M01520:37:000000000-A4TDP:1:1101:16768:1363_1:N:0:1	150	gi|496494566|ref|WP_009203102.1|	217	0	  104	49	100.00	1e-27	649756
+ at M01520:37:000000000-A4TDP:1:1101:16768:1363_1:N:0:1	150	gi|9626381|ref|NP_040711.1|	427	0	  104	49	100.00	8e-27	374840
+ at M01520:37:000000000-A4TDP:1:1101:16768:1363_1:N:0:1	150	gi|89888655|ref|YP_512416.1|	427	9	81.6	46	80.43	2e-18	489828
+ at M01520:37:000000000-A4TDP:1:1101:16768:1363_1:N:0:1	150	gi|9625363|ref|NP_039597.1|	431	14	77.4	49	71.43	9e-17	10849
+ at M01520:37:000000000-A4TDP:1:1101:16768:1363_1:N:0:1	150	gi|242346750|ref|YP_002985212.1|	431	15	74.3	49	69.39	1e-15	10845
+ at M01520:37:000000000-A4TDP:1:1101:16768:1363_1:N:0:1	150	gi|89888616|ref|YP_512376.1|	427	18	70.5	49	63.27	2e-14	511969
+ at M01520:37:000000000-A4TDP:1:1101:16768:1363_1:N:0:1	150	gi|89888103|ref|YP_512796.1|	426	19	69.3	49	61.22	5e-14	489829
+ at M01520:37:000000000-A4TDP:1:1101:16768:1363_1:N:0:1	150	gi|9626346|ref|NP_040678.1|	427	19	66.2	49	61.22	9e-13	374844
+ at M01520:37:000000000-A4TDP:1:1101:16768:1363_1:N:0:1	150	gi|493870803|ref|WP_006817326.1|	300	12	32.3	26	50.00	0.35	158877
+ at M01520:37:000000000-A4TDP:1:1101:16768:1363_1:N:0:1	150	gi|490040747|ref|WP_003943149.1|	473	14	28.5	31	45.16	8.4	1833
+ at M01520:37:000000000-A4TDP:1:1101:13805:1480_1:N:0:1	150	gi|446410012|ref|WP_000487867.1|	175	0	78.6	35	100.00	3e-18	2
+ at M01520:37:000000000-A4TDP:1:1101:13805:1480_1:N:0:1	150	gi|9626382|ref|NP_040712.1|	175	0	78.6	35	100.00	4e-18	374840
+ at M01520:37:000000000-A4TDP:1:1101:13805:1480_1:N:0:1	150	gi|9626347|ref|NP_040679.1|	177	16	41.2	36	52.78	1e-04	374844
+ at M01520:37:000000000-A4TDP:1:1101:13805:1480_1:N:0:1	150	gi|89888617|ref|YP_512377.1|	179	16	38.1	36	52.78	0.003	511969
+ at M01520:37:000000000-A4TDP:1:1101:13805:1480_1:N:0:1	150	gi|89888104|ref|YP_512797.1|	177	18	37.0	36	47.22	0.006	489829
+ at M01520:37:000000000-A4TDP:1:1101:13805:1480_1:N:0:1	150	gi|496411819|ref|WP_009120683.1|	151	13	28.5	23	43.48	4.8	626929
+ at M01520:37:000000000-A4TDP:1:1101:13805:1480_1:N:0:1	150	gi|73695475|ref|NP_060542.4|	2144	24	29.3	44	36.36	5.6	9606
+ at M01520:37:000000000-A4TDP:1:1101:15097:1496_1:N:0:1	150	gi|496494567|ref|WP_009203103.1|	220	0	  109	50	100.00	2e-29	649756
+ at M01520:37:000000000-A4TDP:1:1101:15097:1496_1:N:0:1	150	gi|9626381|ref|NP_040711.1|	427	0	  110	50	100.00	9e-29	374840
+ at M01520:37:000000000-A4TDP:1:1101:15097:1496_1:N:0:1	150	gi|9625363|ref|NP_039597.1|	431	14	79.3	48	70.83	2e-17	10849
+ at M01520:37:000000000-A4TDP:1:1101:15097:1496_1:N:0:1	150	gi|242346750|ref|YP_002985212.1|	431	16	77.4	50	68.00	7e-17	10845
+ at M01520:37:000000000-A4TDP:1:1101:15097:1496_1:N:0:1	150	gi|89888655|ref|YP_512416.1|	427	16	63.9	46	65.22	6e-12	489828
+ at M01520:37:000000000-A4TDP:1:1101:15097:1496_1:N:0:1	150	gi|9626346|ref|NP_040678.1|	427	15	63.2	46	67.39	9e-12	374844
+ at M01520:37:000000000-A4TDP:1:1101:15097:1496_1:N:0:1	150	gi|89888616|ref|YP_512376.1|	427	17	59.3	46	63.04	2e-10	511969
+ at M01520:37:000000000-A4TDP:1:1101:15097:1496_1:N:0:1	150	gi|89888103|ref|YP_512796.1|	426	13	58.2	47	68.09	5e-10	489829
+ at M01520:37:000000000-A4TDP:1:1101:15097:1496_1:N:0:1	150	gi|496134494|ref|WP_008859001.1|	121	17	30.8	31	45.16	0.66	487173
+ at M01520:37:000000000-A4TDP:1:1101:15097:1496_1:N:0:1	150	gi|496421099|ref|WP_009129946.1|	235	16	30.8	28	42.86	1.0	626931
+ at M01520:37:000000000-A4TDP:1:1101:16854:1499_1:N:0:1	150	gi|496494567|ref|WP_009203103.1|	220	0	  109	50	100.00	1e-29	649756
+ at M01520:37:000000000-A4TDP:1:1101:16854:1499_1:N:0:1	150	gi|9626381|ref|NP_040711.1|	427	0	  110	50	100.00	6e-29	374840
+ at M01520:37:000000000-A4TDP:1:1101:16854:1499_1:N:0:1	150	gi|9625363|ref|NP_039597.1|	431	14	85.1	50	72.00	1e-19	10849
+ at M01520:37:000000000-A4TDP:1:1101:16854:1499_1:N:0:1	150	gi|242346750|ref|YP_002985212.1|	431	15	84.7	50	70.00	2e-19	10845
+ at M01520:37:000000000-A4TDP:1:1101:16854:1499_1:N:0:1	150	gi|89888655|ref|YP_512416.1|	427	20	67.4	50	60.00	3e-13	489828
+ at M01520:37:000000000-A4TDP:1:1101:16854:1499_1:N:0:1	150	gi|9626346|ref|NP_040678.1|	427	23	61.6	50	54.00	4e-11	374844
+ at M01520:37:000000000-A4TDP:1:1101:16854:1499_1:N:0:1	150	gi|89888616|ref|YP_512376.1|	427	23	60.8	50	54.00	6e-11	511969
+ at M01520:37:000000000-A4TDP:1:1101:16854:1499_1:N:0:1	150	gi|89888103|ref|YP_512796.1|	426	25	58.2	50	50.00	7e-10	489829
+ at M01520:37:000000000-A4TDP:1:1101:16854:1499_1:N:0:1	150	gi|493864227|ref|WP_006810948.1|	330	17	30.8	30	43.33	1.3	158836
+ at M01520:37:000000000-A4TDP:1:1101:16854:1499_1:N:0:1	150	gi|25013904|ref|NP_734255.1|	278	21	30.8	34	38.24	1.4	42631
+ at M01520:37:000000000-A4TDP:1:1101:17015:1530_1:N:0:1	150	gi|446410012|ref|WP_000487867.1|	175	0	92.8	42	100.00	1e-23	2
+ at M01520:37:000000000-A4TDP:1:1101:17015:1530_1:N:0:1	150	gi|9626382|ref|NP_040712.1|	175	0	92.0	42	100.00	2e-23	374840
+ at M01520:37:000000000-A4TDP:1:1101:17015:1530_1:N:0:1	150	gi|9626347|ref|NP_040679.1|	177	18	50.1	43	55.81	7e-08	374844
+ at M01520:37:000000000-A4TDP:1:1101:17015:1530_1:N:0:1	150	gi|89888104|ref|YP_512797.1|	177	20	45.1	42	50.00	5e-06	489829
+ at M01520:37:000000000-A4TDP:1:1101:17015:1530_1:N:0:1	150	gi|89888617|ref|YP_512377.1|	179	19	44.3	42	52.38	1e-05	511969
+ at M01520:37:000000000-A4TDP:1:1101:17015:1530_1:N:0:1	150	gi|89888654|ref|YP_512417.1|	181	21	38.9	43	48.84	0.001	489828
+ at M01520:37:000000000-A4TDP:1:1101:17015:1530_1:N:0:1	150	gi|242346751|ref|YP_002985213.1|	187	22	36.6	43	46.51	0.007	10845
+ at M01520:37:000000000-A4TDP:1:1101:17015:1530_1:N:0:1	150	gi|9625364|ref|NP_039598.1|	187	22	36.2	43	46.51	0.012	10849
+ at M01520:37:000000000-A4TDP:1:1101:17015:1530_1:N:0:1	150	gi|288683726|ref|NP_001165759.1|	189	17	30.8	52	40.38	1.0	9606
+ at M01520:37:000000000-A4TDP:1:1101:17015:1530_1:N:0:1	150	gi|56090473|ref|NP_001007552.1|	189	17	30.8	52	40.38	1.0	9606
+ at M01520:37:000000000-A4TDP:1:1101:16186:1569_1:N:0:1	150	gi|446410012|ref|WP_000487867.1|	175	0	  103	48	100.00	1e-27	2
+ at M01520:37:000000000-A4TDP:1:1101:16186:1569_1:N:0:1	150	gi|9626382|ref|NP_040712.1|	175	0	  103	48	100.00	1e-27	374840
+ at M01520:37:000000000-A4TDP:1:1101:16186:1569_1:N:0:1	150	gi|9626347|ref|NP_040679.1|	177	20	55.8	49	57.14	7e-10	374844
+ at M01520:37:000000000-A4TDP:1:1101:16186:1569_1:N:0:1	150	gi|89888654|ref|YP_512417.1|	181	23	47.0	49	51.02	1e-06	489828
+ at M01520:37:000000000-A4TDP:1:1101:16186:1569_1:N:0:1	150	gi|89888104|ref|YP_512797.1|	177	25	46.2	49	46.94	2e-06	489829
+ at M01520:37:000000000-A4TDP:1:1101:16186:1569_1:N:0:1	150	gi|242346751|ref|YP_002985213.1|	187	25	44.3	49	46.94	1e-05	10845
+ at M01520:37:000000000-A4TDP:1:1101:16186:1569_1:N:0:1	150	gi|9625364|ref|NP_039598.1|	187	25	43.9	49	46.94	2e-05	10849
+ at M01520:37:000000000-A4TDP:1:1101:16186:1569_1:N:0:1	150	gi|89888617|ref|YP_512377.1|	179	24	43.5	49	48.98	2e-05	511969
+ at M01520:37:000000000-A4TDP:1:1101:16186:1569_1:N:0:1	150	gi|288683726|ref|NP_001165759.1|	189	20	31.6	56	39.29	0.51	9606
+ at M01520:37:000000000-A4TDP:1:1101:16186:1569_1:N:0:1	150	gi|56090473|ref|NP_001007552.1|	189	20	31.6	56	39.29	0.51	9606
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_1:N:0:1	121	gi|490318842|ref|WP_004208337.1|	652	3	82.8	39	92.31	1e-18	13690
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_1:N:0:1	121	gi|490319924|ref|WP_004209409.1|	647	3	81.6	39	92.31	4e-18	13690
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_1:N:0:1	121	gi|494062700|ref|WP_007004780.1|	643	7	75.1	40	82.50	6e-16	204525
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_1:N:0:1	121	gi|494177241|ref|WP_007115123.1|	649	11	73.6	39	71.79	2e-15	225324
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_1:N:0:1	121	gi|491159490|ref|WP_005017877.1|	648	11	71.2	39	71.79	2e-14	40216
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_1:N:0:1	121	gi|493867402|ref|WP_006814012.1|	651	8	68.9	39	79.49	9e-14	158850
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_1:N:0:1	121	gi|386743407|ref|YP_006216586.1|	651	9	67.4	39	76.92	4e-13	1157951
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_1:N:0:1	121	gi|490407894|ref|WP_004281359.1|	648	12	67.0	39	69.23	4e-13	28090
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_1:N:0:1	121	gi|491543906|ref|WP_005401524.1|	647	12	66.6	39	69.23	6e-13	40214
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_1:N:0:1	121	gi|493707745|ref|WP_006657421.1|	651	10	66.2	39	74.36	8e-13	126385
+ at M01520:37:000000000-A4TDP:1:1101:13751:20874_1:N:0:1	85	gi|490406300|ref|WP_004280154.1|	281	1	59.7	28	96.43	3e-11	28090
+ at M01520:37:000000000-A4TDP:1:1101:13751:20874_1:N:0:1	85	gi|491547367|ref|WP_005404982.1|	281	7	49.7	27	74.07	1e-07	40216
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_1:N:0:1	110	gi|490320798|ref|WP_004210283.1|	622	0	76.3	36	100.00	2e-16	13690
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_1:N:0:1	110	gi|489773586|ref|WP_003677486.1|	639	14	50.4	36	61.11	3e-07	483
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_1:N:0:1	110	gi|489854910|ref|WP_003758575.1|	640	14	50.4	36	61.11	3e-07	490
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_1:N:0:1	110	gi|489838553|ref|WP_003742263.1|	640	14	50.1	36	61.11	3e-07	488
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_1:N:0:1	110	gi|496408183|ref|WP_009117047.1|	643	15	50.1	36	58.33	3e-07	607711
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_1:N:0:1	110	gi|489874410|ref|WP_003777926.1|	640	14	50.1	36	61.11	3e-07	496
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_1:N:0:1	110	gi|488142304|ref|WP_002213512.1|	640	14	50.1	36	61.11	3e-07	487
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_1:N:0:1	110	gi|489806452|ref|WP_003710324.1|	640	14	50.1	36	61.11	4e-07	486
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_1:N:0:1	110	gi|489779554|ref|WP_003683445.1|	639	14	49.7	36	61.11	5e-07	484
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_1:N:0:1	110	gi|490655611|ref|WP_004520601.1|	638	14	48.9	36	61.11	8e-07	28449
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_1:N:0:1	85	gi|490317999|ref|WP_004207495.1|	1154	5	50.1	26	80.77	3e-07	13690
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_1:N:0:1	85	gi|492879748|ref|WP_006020619.1|	1171	10	47.0	28	64.29	3e-06	56946
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_1:N:0:1	85	gi|488799341|ref|WP_002711747.1|	1171	10	47.0	28	64.29	3e-06	1034
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_1:N:0:1	85	gi|488803380|ref|WP_002715786.1|	1172	10	44.3	28	64.29	3e-05	1035
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_1:N:0:1	85	gi|491966140|ref|WP_005696360.1|	1149	12	38.9	28	57.14	0.002	729
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_1:N:0:1	85	gi|493770557|ref|WP_006719093.1|	1149	11	38.1	28	60.71	0.003	739
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_1:N:0:1	85	gi|494060091|ref|WP_007002174.1|	1174	12	37.7	27	55.56	0.004	204525
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_1:N:0:1	85	gi|494042680|ref|WP_006984801.1|	1133	10	37.4	26	61.54	0.006	194702
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_1:N:0:1	85	gi|251792001|ref|YP_003006721.1|	1151	12	36.6	28	57.14	0.010	634176
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_1:N:0:1	85	gi|494451916|ref|WP_007242916.1|	1151	12	36.6	28	57.14	0.012	249188
+ at M01520:37:000000000-A4TDP:1:1102:22864:13560_1:N:0:1	150	gi|490319150|ref|WP_004208643.1|	154	6	65.1	49	87.76	2e-13	13690
+ at M01520:37:000000000-A4TDP:1:1102:22864:13560_1:N:0:1	150	gi|490645651|ref|WP_004510646.1|	147	17	58.5	47	63.83	6e-11	28197
+ at M01520:37:000000000-A4TDP:1:1102:22864:13560_1:N:0:1	150	gi|490480112|ref|WP_004350448.1|	160	19	55.5	49	57.14	7e-10	28127
+ at M01520:37:000000000-A4TDP:1:1102:22864:13560_1:N:0:1	150	gi|433652908|ref|YP_007296762.1|	163	21	54.7	50	54.00	1e-09	908937
+ at M01520:37:000000000-A4TDP:1:1102:22864:13560_1:N:0:1	150	gi|489102731|ref|WP_003012592.1|	144	20	54.7	48	58.33	1e-09	258
+ at M01520:37:000000000-A4TDP:1:1102:22864:13560_1:N:0:1	150	gi|490502204|ref|WP_004368303.1|	159	19	54.7	49	57.14	1e-09	28134
+ at M01520:37:000000000-A4TDP:1:1102:22864:13560_1:N:0:1	150	gi|497178650|ref|WP_009498486.1|	155	16	54.7	48	62.50	2e-09	759851
+ at M01520:37:000000000-A4TDP:1:1102:22864:13560_1:N:0:1	150	gi|489090025|ref|WP_002999923.1|	144	20	54.7	48	58.33	2e-09	258
+ at M01520:37:000000000-A4TDP:1:1102:22864:13560_1:N:0:1	150	gi|493300980|ref|WP_006258587.1|	151	14	54.3	47	65.96	2e-09	76832
+ at M01520:37:000000000-A4TDP:1:1102:22864:13560_1:N:0:1	150	gi|490475316|ref|WP_004345736.1|	163	22	53.1	50	52.00	6e-09	28126
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_1:N:0:1	125	gi|490319360|ref|WP_004208853.1|	166	5	80.9	41	87.80	3e-19	13690
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_1:N:0:1	125	gi|16273108|ref|NP_439342.1|	295	13	30.0	25	48.00	1.6	71421
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_1:N:0:1	125	gi|492845230|ref|WP_005999184.1|	129	15	28.5	31	48.39	3.9	56774
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_1:N:0:1	125	gi|491911343|ref|WP_005666421.1|	328	14	28.5	33	39.39	5.8	47229
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_1:N:0:1	125	gi|490981430|ref|WP_004843191.1|	475	5	28.5	13	61.54	6.5	33038
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_1:N:0:1	125	gi|494452727|ref|WP_007243537.1|	294	8	28.1	18	55.56	7.6	249188
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_1:N:0:1	125	gi|495839516|ref|WP_008564095.1|	581	15	28.1	26	42.31	8.0	439703
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_1:N:0:1	125	gi|490508644|ref|WP_004374671.1|	581	15	28.1	26	42.31	8.0	28135
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_1:N:0:1	125	gi|490471126|ref|WP_004341624.1|	581	15	28.1	26	42.31	8.0	28126
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_1:N:0:1	125	gi|493296527|ref|WP_006254174.1|	581	15	28.1	26	42.31	8.8	76122
+ at M01520:37:000000000-A4TDP:1:1103:22070:8924_1:N:0:1	150	gi|490406658|ref|WP_004280453.1|	400	0	95.5	49	100.00	1e-23	28090
+ at M01520:37:000000000-A4TDP:1:1103:22070:8924_1:N:0:1	150	gi|491156070|ref|WP_005014457.1|	400	22	49.7	49	55.10	6e-07	40216
+ at M01520:37:000000000-A4TDP:1:1103:22070:8924_1:N:0:1	150	gi|490406624|ref|WP_004280424.1|	358	28	32.3	42	33.33	0.44	28090
+ at M01520:37:000000000-A4TDP:1:1103:22070:8924_1:N:0:1	150	gi|491546484|ref|WP_005404099.1|	394	26	32.3	42	38.10	0.45	40216
+ at M01520:37:000000000-A4TDP:1:1103:22070:8924_1:N:0:1	150	gi|491156006|ref|WP_005014393.1|	394	26	32.0	42	38.10	0.48	40216
+ at M01520:37:000000000-A4TDP:1:1103:22070:8924_1:N:0:1	150	gi|490945548|ref|WP_004807379.1|	406	31	31.6	48	35.42	0.79	33007
+ at M01520:37:000000000-A4TDP:1:1103:22070:8924_1:N:0:1	150	gi|488380924|ref|WP_002450309.1|	401	26	30.0	40	35.00	2.6	1292
+ at M01520:37:000000000-A4TDP:1:1103:22070:8924_1:N:0:1	150	gi|493734475|ref|WP_006683698.1|	396	25	29.6	40	37.50	3.6	133448
+ at M01520:37:000000000-A4TDP:1:1103:22070:8924_1:N:0:1	150	gi|488434322|ref|WP_002503707.1|	397	26	29.6	41	36.59	3.6	1282
+ at M01520:37:000000000-A4TDP:1:1103:22070:8924_1:N:0:1	150	gi|488416860|ref|WP_002486245.1|	397	26	29.6	41	36.59	3.6	1282
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_1:N:0:1	140	gi|490318198|ref|WP_004207694.1|	434	7	50.1	46	84.78	4e-07	13690
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_1:N:0:1	140	gi|495817553|ref|WP_008542132.1|	421	5	33.9	20	75.00	0.12	437898
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_1:N:0:1	140	gi|493916133|ref|WP_006861355.1|	503	5	33.9	19	73.68	0.14	168384
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_1:N:0:1	140	gi|494062129|ref|WP_007004209.1|	424	4	33.1	19	78.95	0.19	204525
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_1:N:0:1	140	gi|496138952|ref|WP_008863459.1|	430	5	33.1	20	75.00	0.22	487175
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_1:N:0:1	140	gi|495818750|ref|WP_008543329.1|	423	5	32.7	20	75.00	0.29	437898
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_1:N:0:1	140	gi|496139175|ref|WP_008863682.1|	422	5	32.3	20	75.00	0.38	487175
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_1:N:0:1	140	gi|496086054|ref|WP_008810561.1|	415	5	31.6	20	75.00	0.63	80840
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_1:N:0:1	140	gi|496139992|ref|WP_008864499.1|	437	7	29.3	19	63.16	4.4	487175
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_1:N:0:1	120	gi|490407309|ref|WP_004280912.1|	560	0	79.7	36	100.00	1e-17	28090
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_1:N:0:1	120	gi|491545841|ref|WP_005403457.1|	555	14	40.0	30	53.33	9e-04	40215
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_1:N:0:1	120	gi|446983975|ref|WP_001061231.1|	549	14	33.5	32	50.00	0.13	470
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_1:N:0:1	120	gi|490775013|ref|WP_004637214.1|	550	10	31.6	24	54.17	0.72	469
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_1:N:0:1	120	gi|491906597|ref|WP_005664104.1|	502	15	29.6	27	44.44	2.7	47229
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_1:N:0:1	120	gi|491906669|ref|WP_005664147.1|	502	19	29.6	32	40.62	2.7	47229
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_1:N:0:1	120	gi|38347956|ref|NP_941205.1|	482	16	29.6	32	46.88	2.9	615
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_1:N:0:1	120	gi|310831412|ref|YP_003970055.1|	235	5	27.7	15	66.67	8.1	693272
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_1:N:0:1	120	gi|493646578|ref|WP_006598184.1|	298	9	28.1	24	54.17	8.2	113287
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_1:N:0:1	137	gi|490409057|ref|WP_004282311.1|	199	3	54.7	45	93.33	2e-09	28090
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_1:N:0:1	137	gi|490409059|ref|WP_004282312.1|	175	4	52.4	45	91.11	9e-09	28090
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_1:N:0:1	137	gi|491546179|ref|WP_005403794.1|	525	5	54.3	45	88.89	1e-08	40215
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_1:N:0:1	137	gi|491544401|ref|WP_005402018.1|	504	4	52.4	45	91.11	6e-08	40214
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_1:N:0:1	137	gi|491546413|ref|WP_005404028.1|	504	4	52.0	45	91.11	8e-08	40215
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_1:N:0:1	137	gi|490779841|ref|WP_004642027.1|	440	2	36.6	35	94.29	0.016	29430
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_1:N:0:1	137	gi|446564708|ref|WP_000642054.1|	436	4	30.8	31	87.10	1.3	470
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_1:N:0:1	137	gi|491544665|ref|WP_005402282.1|	213	18	29.3	32	40.62	3.1	40215
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_1:N:0:1	137	gi|447017162|ref|WP_001094418.1|	97	0	27.7	13	100.00	4.4	470
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_1:N:0:1	124	gi|490405915|ref|WP_004279874.1|	161	0	83.6	41	100.00	3e-20	28090
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_1:N:0:1	124	gi|491543415|ref|WP_005401033.1|	201	8	71.2	41	80.49	2e-15	469
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_1:N:0:1	124	gi|491156215|ref|WP_005014602.1|	161	17	57.0	41	58.54	2e-10	40216
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_1:N:0:1	124	gi|491544788|ref|WP_005402405.1|	160	16	53.9	41	60.98	2e-09	40215
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_1:N:0:1	124	gi|126642008|ref|YP_001084992.1|	160	18	53.5	41	56.10	3e-09	400667
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_1:N:0:1	124	gi|489748161|ref|WP_003652170.1|	160	19	52.8	41	53.66	6e-09	471
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_1:N:0:1	124	gi|490777236|ref|WP_004639422.1|	160	17	37.7	41	58.54	0.002	29430
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_1:N:0:1	124	gi|491106449|ref|WP_004966274.1|	137	24	35.0	42	38.10	0.016	618
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_1:N:0:1	124	gi|496433470|ref|WP_009142317.1|	162	23	28.9	42	40.48	3.0	626938
+ at M01520:37:000000000-A4TDP:1:1104:27442:7837_1:N:0:1	150	gi|490318621|ref|WP_004208116.1|	378	10	44.3	46	78.26	4e-05	13690
+ at M01520:37:000000000-A4TDP:1:1104:27442:7837_1:N:0:1	150	gi|491375222|ref|WP_005233114.1|	2252	13	30.0	25	44.00	3.0	37734
+ at M01520:37:000000000-A4TDP:1:1104:27442:7837_1:N:0:1	150	gi|491436914|ref|WP_005294707.1|	415	19	29.3	33	42.42	4.5	38289
+ at M01520:37:000000000-A4TDP:1:1104:27442:7837_1:N:0:1	150	gi|489805910|ref|WP_003709783.1|	51	25	26.6	42	40.48	7.1	486
+ at M01520:37:000000000-A4TDP:1:1104:27442:7837_1:N:0:1	150	gi|161016843|ref|NP_031909.2|	1122	7	28.5	16	56.25	8.5	10090
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_1:N:0:1	89	gi|490405867|ref|WP_004279834.1|	1251	0	58.2	29	100.00	5e-10	28090
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_1:N:0:1	89	gi|491543590|ref|WP_005401208.1|	1251	8	43.9	29	72.41	4e-05	40214
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_1:N:0:1	89	gi|487913508|ref|WP_001986974.1|	853	9	42.7	29	68.97	1e-04	470
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_1:N:0:1	89	gi|489747407|ref|WP_003651417.1|	1255	9	42.4	29	68.97	1e-04	471
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_1:N:0:1	89	gi|384142982|ref|YP_005525692.1|	1250	9	42.4	29	68.97	1e-04	497978
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_1:N:0:1	89	gi|447017698|ref|WP_001094954.1|	1250	9	42.4	29	68.97	1e-04	470
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_1:N:0:1	89	gi|491545106|ref|WP_005402722.1|	1254	10	40.4	29	65.52	5e-04	40215
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_1:N:0:1	89	gi|490776655|ref|WP_004638842.1|	1286	10	40.4	29	65.52	6e-04	29430
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_1:N:0:1	89	gi|490363781|ref|WP_004243491.1|	1317	10	38.5	29	65.52	0.003	584
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_1:N:0:1	89	gi|491546490|ref|WP_005404105.1|	1256	11	38.1	29	62.07	0.003	40216
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_1:N:0:1	134	gi|490321631|ref|WP_004211116.1|	507	4	74.3	41	90.24	1e-15	13690
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_1:N:0:1	134	gi|488799113|ref|WP_002711519.1|	534	17	35.8	51	45.10	0.033	1034
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_1:N:0:1	134	gi|492878956|ref|WP_006020307.1|	535	17	33.9	52	44.23	0.11	56946
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_1:N:0:1	134	gi|491351855|ref|WP_005209777.1|	307	4	33.5	17	76.47	0.15	36834
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_1:N:0:1	134	gi|494394685|ref|WP_007208937.1|	516	5	32.0	17	70.59	0.57	246144
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_1:N:0:1	134	gi|494060974|ref|WP_007003057.1|	504	6	31.2	17	64.71	0.94	204525
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_1:N:0:1	134	gi|488803692|ref|WP_002716098.1|	510	2	31.2	15	86.67	1.0	1035
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_1:N:0:1	134	gi|488870951|ref|WP_002783176.1|	486	7	30.8	17	58.82	1.2	195
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_1:N:0:1	134	gi|493965143|ref|WP_006908555.1|	520	6	30.8	17	64.71	1.4	178214
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_1:N:0:1	134	gi|489234241|ref|WP_003142540.1|	543	5	30.4	17	70.59	1.6	1377
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_1:N:0:1	114	gi|490408206|ref|WP_004281648.1|	935	0	74.3	37	100.00	2e-15	28090
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_1:N:0:1	114	gi|491543146|ref|WP_005400764.1|	937	5	67.4	37	86.49	3e-13	40214
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_1:N:0:1	114	gi|491157843|ref|WP_005016230.1|	934	6	62.8	36	83.33	1e-11	40216
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_1:N:0:1	114	gi|169797173|ref|YP_001714966.1|	935	7	55.8	34	79.41	4e-09	509173
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_1:N:0:1	114	gi|489750997|ref|WP_003655006.1|	935	9	50.1	34	73.53	3e-07	471
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_1:N:0:1	114	gi|490775753|ref|WP_004637943.1|	937	11	47.4	34	67.65	3e-06	29430
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_1:N:0:1	114	gi|491546103|ref|WP_005403719.1|	936	14	47.0	35	60.00	4e-06	40215
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_1:N:0:1	114	gi|494179909|ref|WP_007116231.1|	1101	15	41.2	35	57.14	4e-04	225324
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_1:N:0:1	114	gi|51874282|ref|YP_073800.1|	775	5	30.4	15	66.67	1.7	10372
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_1:N:0:1	114	gi|360040969|ref|YP_004940104.1|	887	5	29.6	15	66.67	2.8	50290
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_1:N:0:1	122	gi|490322339|ref|WP_004211824.1|	206	12	52.4	40	67.50	1e-08	13690
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_1:N:0:1	122	gi|491161522|ref|WP_005019909.1|	199	13	50.4	42	64.29	5e-08	40216
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_1:N:0:1	122	gi|490382600|ref|WP_004262112.1|	192	19	47.8	39	51.28	5e-07	587
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_1:N:0:1	122	gi|493735902|ref|WP_006685111.1|	195	18	47.0	39	53.85	8e-07	133448
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_1:N:0:1	122	gi|491060424|ref|WP_004922058.1|	196	19	47.0	39	51.28	9e-07	588
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_1:N:0:1	122	gi|15801173|ref|NP_287190.1|	191	18	46.6	39	53.85	1e-06	155864
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_1:N:0:1	122	gi|26247195|ref|NP_753235.1|	191	18	46.6	39	53.85	1e-06	199310
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_1:N:0:1	122	gi|169796183|ref|YP_001713976.1|	196	15	45.4	41	60.98	4e-06	509173
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_1:N:0:1	122	gi|184157888|ref|YP_001846227.1|	196	15	45.4	41	60.98	4e-06	405416
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_1:N:0:1	122	gi|490406059|ref|WP_004279967.1|	195	16	45.1	41	58.54	5e-06	469
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_1:N:0:1	91	gi|491541936|ref|WP_005399555.1|	734	0	65.5	30	100.00	1e-12	40214
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_1:N:0:1	91	gi|490406504|ref|WP_004280321.1|	733	0	65.1	30	100.00	2e-12	28090
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_1:N:0:1	91	gi|490777010|ref|WP_004639196.1|	734	0	64.7	30	100.00	2e-12	29430
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_1:N:0:1	91	gi|491545000|ref|WP_005402616.1|	731	0	64.7	30	100.00	2e-12	40215
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_1:N:0:1	91	gi|491916839|ref|WP_005670434.1|	733	2	62.8	30	93.33	9e-12	47229
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_1:N:0:1	91	gi|489748717|ref|WP_003652726.1|	732	2	62.8	30	93.33	1e-11	471
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_1:N:0:1	91	gi|491434583|ref|WP_005292376.1|	920	13	28.1	23	43.48	7.7	38289
+ at M01520:37:000000000-A4TDP:1:1108:28062:9160_1:N:0:1	116	gi|255357300|ref|YP_003090286.1|	1394	0	80.1	38	100.00	2e-17	645687
+ at M01520:37:000000000-A4TDP:1:1108:28062:9160_1:N:0:1	116	gi|255357301|ref|YP_003090287.1|	886	0	78.6	38	100.00	5e-17	645687
+ at M01520:37:000000000-A4TDP:1:1108:28062:9160_1:N:0:1	116	gi|410493717|ref|YP_006905858.1|	889	5	71.6	38	86.84	1e-14	683174
+ at M01520:37:000000000-A4TDP:1:1108:28062:9160_1:N:0:1	116	gi|262166847|ref|YP_003275951.1|	1395	12	62.0	38	68.42	3e-11	682382
+ at M01520:37:000000000-A4TDP:1:1108:28062:9160_1:N:0:1	116	gi|262166846|ref|YP_003275952.1|	874	12	60.8	38	68.42	8e-11	682382
+ at M01520:37:000000000-A4TDP:1:1108:28062:9160_1:N:0:1	116	gi|407868425|ref|YP_006792626.1|	887	12	60.5	38	68.42	9e-11	683173
+ at M01520:37:000000000-A4TDP:1:1108:28062:9160_1:N:0:1	116	gi|410493720|ref|YP_006905855.1|	886	10	60.1	38	73.68	1e-10	1247113
+ at M01520:37:000000000-A4TDP:1:1108:28062:9160_1:N:0:1	116	gi|422933789|ref|YP_007003830.1|	1353	14	60.1	38	63.16	2e-10	1254425
+ at M01520:37:000000000-A4TDP:1:1108:28062:9160_1:N:0:1	116	gi|422933788|ref|YP_007003831.1|	844	14	58.5	38	63.16	5e-10	1254425
+ at M01520:37:000000000-A4TDP:1:1108:28062:9160_1:N:0:1	116	gi|31580556|ref|NP_853539.1|	1381	19	47.0	41	46.34	5e-06	1239574
+ at M01520:37:000000000-A4TDP:1:1108:18072:12814_1:N:0:1	119	gi|492539128|ref|WP_005878280.1|	452	10	64.3	37	72.97	3e-12	847
+ at M01520:37:000000000-A4TDP:1:1108:18072:12814_1:N:0:1	119	gi|491906555|ref|WP_005664079.1|	458	11	64.3	38	71.05	3e-12	47229
+ at M01520:37:000000000-A4TDP:1:1108:18072:12814_1:N:0:1	119	gi|492548632|ref|WP_005882059.1|	452	9	64.3	37	75.68	3e-12	847
+ at M01520:37:000000000-A4TDP:1:1108:18072:12814_1:N:0:1	119	gi|491159331|ref|WP_005017718.1|	454	9	61.2	36	75.00	3e-11	40216
+ at M01520:37:000000000-A4TDP:1:1108:18072:12814_1:N:0:1	119	gi|489879830|ref|WP_003783300.1|	455	12	60.8	39	69.23	4e-11	502
+ at M01520:37:000000000-A4TDP:1:1108:18072:12814_1:N:0:1	119	gi|491544021|ref|WP_005401639.1|	454	9	60.8	36	75.00	5e-11	40214
+ at M01520:37:000000000-A4TDP:1:1108:18072:12814_1:N:0:1	119	gi|490407321|ref|WP_004280921.1|	454	9	60.5	36	75.00	7e-11	28090
+ at M01520:37:000000000-A4TDP:1:1108:18072:12814_1:N:0:1	119	gi|488718496|ref|WP_002642372.1|	479	9	60.5	38	76.32	7e-11	72
+ at M01520:37:000000000-A4TDP:1:1108:18072:12814_1:N:0:1	119	gi|491545838|ref|WP_005403454.1|	454	9	59.3	36	75.00	2e-10	40215
+ at M01520:37:000000000-A4TDP:1:1108:18072:12814_1:N:0:1	119	gi|490775009|ref|WP_004637210.1|	454	12	58.9	38	68.42	2e-10	29430
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_1:N:0:1	67	gi|490405184|ref|WP_004279291.1|	494	0	48.1	22	100.00	8e-07	28090
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_1:N:0:1	67	gi|491160566|ref|WP_005018953.1|	495	4	40.0	22	81.82	4e-04	40216
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_1:N:0:1	67	gi|491125897|ref|WP_004984334.1|	494	4	39.7	22	81.82	6e-04	469
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_1:N:0:1	67	gi|494104725|ref|WP_007045511.1|	505	11	29.3	22	50.00	2.1	214851
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_1:N:0:1	67	gi|495818640|ref|WP_008543219.1|	496	9	29.3	22	59.09	2.1	437898
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_1:N:0:1	67	gi|330839754|ref|YP_004414334.1|	498	10	29.3	22	54.55	2.1	546271
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_1:N:0:1	67	gi|489093100|ref|WP_003002987.1|	499	10	28.5	22	54.55	3.5	258
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_1:N:0:1	67	gi|489085841|ref|WP_002995749.1|	499	10	28.5	22	54.55	3.5	258
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_1:N:0:1	67	gi|490966171|ref|WP_004827973.1|	501	12	28.5	22	45.45	3.8	33032
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_1:N:0:1	67	gi|487913076|ref|WP_001986542.1|	512	10	27.7	22	54.55	7.2	470
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_1:N:0:1	120	gi|490320482|ref|WP_004209967.1|	269	5	69.7	40	87.50	7e-15	13690
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_1:N:0:1	120	gi|493253038|ref|WP_006220531.1|	258	10	48.5	36	69.44	6e-07	72556
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_1:N:0:1	120	gi|493428932|ref|WP_006384577.1|	220	10	45.8	36	69.44	4e-06	85698
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_1:N:0:1	120	gi|489806330|ref|WP_003710202.1|	261	7	40.4	25	72.00	4e-04	486
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_1:N:0:1	120	gi|491915361|ref|WP_005669027.1|	271	14	39.3	31	54.84	0.001	47229
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_1:N:0:1	120	gi|489875338|ref|WP_003778843.1|	144	12	37.4	33	57.58	0.002	496
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_1:N:0:1	120	gi|490984957|ref|WP_004846694.1|	256	18	37.7	38	52.63	0.004	569
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_1:N:0:1	120	gi|493867505|ref|WP_006814111.1|	256	8	37.4	25	68.00	0.004	158850
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_1:N:0:1	120	gi|489889751|ref|WP_003793201.1|	252	16	37.4	38	52.63	0.006	505
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_1:N:0:1	120	gi|489880768|ref|WP_003784230.1|	261	9	37.0	25	64.00	0.007	502
+ at M01520:37:000000000-A4TDP:1:1108:6035:23599_1:N:0:1	56	gi|490818974|ref|WP_004681072.1|	238	0	43.5	18	100.00	1e-05	469
+ at M01520:37:000000000-A4TDP:1:1108:6035:23599_1:N:0:1	56	gi|384130224|ref|YP_005512836.1|	238	0	43.5	18	100.00	1e-05	696749
+ at M01520:37:000000000-A4TDP:1:1108:6035:23599_1:N:0:1	56	gi|487913892|ref|WP_001987358.1|	178	0	42.7	18	100.00	1e-05	470
+ at M01520:37:000000000-A4TDP:1:1108:6035:23599_1:N:0:1	56	gi|490408642|ref|WP_004281978.1|	246	0	43.5	18	100.00	2e-05	28090
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+ at M01520:37:000000000-A4TDP:1:1108:6035:23599_1:N:0:1	56	gi|490405526|ref|WP_004279554.1|	275	5	33.5	18	72.22	0.051	28090
+ at M01520:37:000000000-A4TDP:1:1108:6035:23599_1:N:0:1	56	gi|491546646|ref|WP_005404261.1|	144	5	30.4	17	70.59	0.32	40216
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_1:N:0:1	86	gi|491913012|ref|WP_005667568.1|	723	10	47.4	28	64.29	2e-06	47229
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_1:N:0:1	86	gi|490776300|ref|WP_004638488.1|	949	10	46.2	28	64.29	6e-06	29430
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_1:N:0:1	86	gi|491912439|ref|WP_005667088.1|	825	8	46.2	28	71.43	6e-06	47229
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_1:N:0:1	86	gi|490318004|ref|WP_004207500.1|	670	8	45.8	28	71.43	6e-06	13690
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_1:N:0:1	86	gi|489746580|ref|WP_003650595.1|	950	10	45.8	28	64.29	9e-06	471
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_1:N:0:1	86	gi|491918177|ref|WP_005671271.1|	888	10	45.4	28	64.29	1e-05	47229
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_1:N:0:1	86	gi|491544715|ref|WP_005402332.1|	950	10	45.4	28	64.29	1e-05	40215
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_1:N:0:1	86	gi|384143978|ref|YP_005526688.1|	949	10	45.4	28	64.29	1e-05	497978
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_1:N:0:1	86	gi|169795276|ref|YP_001713069.1|	949	10	45.4	28	64.29	1e-05	509173
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_1:N:0:1	86	gi|491908775|ref|WP_005665011.1|	705	8	45.1	28	71.43	1e-05	47229
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_1:N:0:1	120	gi|169795583|ref|YP_001713376.1|	868	0	91.3	39	100.00	2e-21	509173
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_1:N:0:1	120	gi|184158608|ref|YP_001846947.1|	868	0	90.9	39	100.00	2e-21	405416
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_1:N:0:1	120	gi|490404614|ref|WP_004278837.1|	868	0	90.9	39	100.00	2e-21	28090
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_1:N:0:1	120	gi|491544774|ref|WP_005402391.1|	868	0	90.5	39	100.00	3e-21	40215
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_1:N:0:1	120	gi|489748364|ref|WP_003652373.1|	868	0	90.5	39	100.00	3e-21	471
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_1:N:0:1	120	gi|490777267|ref|WP_004639453.1|	868	0	90.5	39	100.00	4e-21	29430
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_1:N:0:1	120	gi|491543555|ref|WP_005401173.1|	869	0	90.5	39	100.00	4e-21	40214
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_1:N:0:1	120	gi|491161548|ref|WP_005019935.1|	868	0	90.1	39	100.00	5e-21	40216
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_1:N:0:1	120	gi|489918355|ref|WP_003821719.1|	889	11	68.9	39	71.79	1e-13	539
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_1:N:0:1	120	gi|496409991|ref|WP_009118855.1|	881	10	64.3	37	72.97	5e-12	607712
+ at M01520:37:000000000-A4TDP:1:1111:2378:11773_1:N:0:1	112	gi|491543291|ref|WP_005400909.1|	570	0	77.8	37	100.00	5e-17	40214
+ at M01520:37:000000000-A4TDP:1:1111:2378:11773_1:N:0:1	112	gi|490404260|ref|WP_004278561.1|	570	0	77.8	37	100.00	5e-17	469
+ at M01520:37:000000000-A4TDP:1:1111:2378:11773_1:N:0:1	112	gi|487913732|ref|WP_001987198.1|	618	0	76.3	36	100.00	2e-16	470
+ at M01520:37:000000000-A4TDP:1:1111:2378:11773_1:N:0:1	112	gi|487912331|ref|WP_001985797.1|	618	0	76.3	36	100.00	2e-16	470
+ at M01520:37:000000000-A4TDP:1:1111:2378:11773_1:N:0:1	112	gi|489750647|ref|WP_003654656.1|	570	0	75.9	36	100.00	3e-16	471
+ at M01520:37:000000000-A4TDP:1:1111:2378:11773_1:N:0:1	112	gi|491055069|ref|WP_004916716.1|	570	1	74.7	36	97.22	6e-16	40215
+ at M01520:37:000000000-A4TDP:1:1111:2378:11773_1:N:0:1	112	gi|490775547|ref|WP_004637739.1|	570	1	74.7	36	97.22	7e-16	29430
+ at M01520:37:000000000-A4TDP:1:1111:2378:11773_1:N:0:1	112	gi|490406502|ref|WP_004280320.1|	570	1	72.8	36	97.22	3e-15	28090
+ at M01520:37:000000000-A4TDP:1:1111:2378:11773_1:N:0:1	112	gi|491547202|ref|WP_005404817.1|	560	1	60.1	29	96.55	1e-10	40216
+ at M01520:37:000000000-A4TDP:1:1111:2378:11773_1:N:0:1	112	gi|491064033|ref|WP_004925665.1|	560	7	59.3	33	78.79	2e-10	588
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_1:N:0:1	145	gi|490403931|ref|WP_004278350.1|	382	0	59.7	48	100.00	1e-10	28090
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_1:N:0:1	145	gi|491158107|ref|WP_005016494.1|	382	9	47.0	48	81.25	4e-06	40216
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_1:N:0:1	145	gi|491544085|ref|WP_005401703.1|	381	12	46.6	48	75.00	6e-06	40214
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_1:N:0:1	145	gi|491047326|ref|WP_004908980.1|	380	11	46.2	48	77.08	8e-06	40215
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_1:N:0:1	145	gi|169797240|ref|YP_001715033.1|	381	10	45.1	48	79.17	2e-05	509173
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_1:N:0:1	145	gi|490778625|ref|WP_004640811.1|	380	11	43.9	48	77.08	5e-05	469
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_1:N:0:1	145	gi|489750874|ref|WP_003654883.1|	381	11	42.7	48	77.08	1e-04	471
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_1:N:0:1	86	gi|490407804|ref|WP_004281274.1|	197	1	54.7	28	96.43	9e-10	28090
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_1:N:0:1	86	gi|446944461|ref|WP_001021717.1|	193	11	37.0	28	60.71	0.003	470
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_1:N:0:1	86	gi|446944467|ref|WP_001021723.1|	193	11	37.0	28	60.71	0.003	470
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_1:N:0:1	86	gi|169794325|ref|YP_001712118.1|	193	11	37.0	28	60.71	0.003	509173
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_1:N:0:1	86	gi|491159389|ref|WP_005017776.1|	195	12	33.1	28	57.14	0.068	40216
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_1:N:0:1	86	gi|489750131|ref|WP_003654140.1|	193	12	33.1	28	57.14	0.069	471
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_1:N:0:1	86	gi|491545812|ref|WP_005403428.1|	195	9	31.2	22	59.09	0.38	40215
+ at M01520:37:000000000-A4TDP:1:1111:24327:16462_1:N:0:1	99	gi|490405800|ref|WP_004279779.1|	758	0	66.6	33	100.00	5e-13	28090
+ at M01520:37:000000000-A4TDP:1:1111:24327:16462_1:N:0:1	99	gi|491543460|ref|WP_005401078.1|	758	7	55.8	33	78.79	3e-09	40214
+ at M01520:37:000000000-A4TDP:1:1111:24327:16462_1:N:0:1	99	gi|491156247|ref|WP_005014634.1|	758	11	32.3	33	66.67	0.33	40216
+ at M01520:37:000000000-A4TDP:1:1111:24327:16462_1:N:0:1	99	gi|491100473|ref|WP_004962073.1|	761	13	28.9	33	60.61	4.2	40215
+ at M01520:37:000000000-A4TDP:1:1111:24327:16462_1:N:0:1	99	gi|490777050|ref|WP_004639236.1|	761	13	28.5	33	60.61	6.0	469
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_1:N:0:1	110	gi|491166461|ref|WP_005024831.1|	401	4	66.2	36	88.89	5e-13	40216
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_1:N:0:1	110	gi|491157676|ref|WP_005016063.1|	401	4	65.9	36	88.89	6e-13	40216
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_1:N:0:1	110	gi|169794806|ref|YP_001712599.1|	422	5	65.5	36	86.11	1e-12	509173
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_1:N:0:1	110	gi|489751234|ref|WP_003655241.1|	401	5	65.1	36	86.11	1e-12	471
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_1:N:0:1	110	gi|184159420|ref|YP_001847759.1|	401	5	64.7	36	86.11	1e-12	405416
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_1:N:0:1	110	gi|490408275|ref|WP_004281703.1|	401	5	63.2	36	86.11	6e-12	28090
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_1:N:0:1	110	gi|490778510|ref|WP_004640696.1|	380	6	61.6	36	83.33	2e-11	29430
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_1:N:0:1	110	gi|491542622|ref|WP_005400241.1|	401	7	61.2	36	80.56	3e-11	40214
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_1:N:0:1	110	gi|491047177|ref|WP_004908831.1|	401	6	60.8	36	83.33	3e-11	469
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_1:N:0:1	110	gi|491439394|ref|WP_005297187.1|	409	7	60.5	36	80.56	5e-11	38289
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_1:N:0:1	110	gi|169797119|ref|YP_001714912.1|	361	8	56.2	36	75.00	1e-09	509173
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_1:N:0:1	110	gi|213156474|ref|YP_002318135.1|	361	9	53.9	36	72.22	9e-09	480119
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_1:N:0:1	110	gi|490405012|ref|WP_004279153.1|	362	6	53.9	34	79.41	1e-08	28090
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_1:N:0:1	110	gi|491542591|ref|WP_005400210.1|	363	6	53.9	34	79.41	1e-08	40214
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_1:N:0:1	110	gi|489751842|ref|WP_003655846.1|	361	9	53.5	36	72.22	1e-08	471
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_1:N:0:1	110	gi|490775814|ref|WP_004638003.1|	361	8	53.5	35	74.29	1e-08	29430
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_1:N:0:1	110	gi|491545586|ref|WP_005403202.1|	361	9	53.5	36	72.22	1e-08	40215
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_1:N:0:1	110	gi|491160180|ref|WP_005018567.1|	362	9	53.1	36	72.22	2e-08	40216
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_1:N:0:1	110	gi|490746779|ref|WP_004609087.1|	353	11	49.7	35	65.71	2e-07	29348
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_1:N:0:1	110	gi|492746944|ref|WP_005947101.1|	352	10	48.9	35	68.57	5e-07	53443
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_1:N:0:1	143	gi|490404958|ref|WP_004279114.1|	427	6	90.5	47	87.23	1e-21	28090
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_1:N:0:1	143	gi|491542104|ref|WP_005399723.1|	427	13	77.8	47	72.34	5e-17	40214
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_1:N:0:1	143	gi|446781132|ref|WP_000858388.1|	426	12	68.6	45	71.11	1e-13	470
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_1:N:0:1	143	gi|169632714|ref|YP_001706450.1|	426	12	68.6	45	71.11	1e-13	509170
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_1:N:0:1	143	gi|491546795|ref|WP_005404410.1|	427	16	68.2	46	65.22	2e-13	40216
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_1:N:0:1	143	gi|489746211|ref|WP_003650229.1|	426	14	65.1	45	66.67	2e-12	471
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_1:N:0:1	143	gi|490779628|ref|WP_004641814.1|	427	16	64.3	45	64.44	3e-12	29430
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_1:N:0:1	143	gi|491545388|ref|WP_005403004.1|	427	17	62.8	45	62.22	1e-11	40215
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_1:N:0:1	143	gi|490377183|ref|WP_004256782.1|	430	16	37.7	33	51.52	0.007	587
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_1:N:0:1	143	gi|493866100|ref|WP_006812759.1|	430	17	36.2	33	48.48	0.019	158850
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_1:N:0:1	105	gi|490405933|ref|WP_004279888.1|	384	0	68.6	34	100.00	5e-14	28090
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_1:N:0:1	105	gi|169795679|ref|YP_001713472.1|	369	4	63.2	34	88.24	4e-12	509173
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_1:N:0:1	105	gi|490776796|ref|WP_004638983.1|	369	4	63.2	34	88.24	4e-12	469
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_1:N:0:1	105	gi|491092953|ref|WP_004954561.1|	369	4	63.2	34	88.24	5e-12	40215
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_1:N:0:1	105	gi|489748179|ref|WP_003652188.1|	369	4	62.8	34	88.24	5e-12	471
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_1:N:0:1	105	gi|491543405|ref|WP_005401023.1|	369	4	62.4	34	88.24	7e-12	40214
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_1:N:0:1	105	gi|491156236|ref|WP_005014623.1|	369	6	60.8	34	82.35	3e-11	40216
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_1:N:0:1	105	gi|491914471|ref|WP_005668494.1|	367	16	28.5	32	50.00	6.0	47229
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_1:N:0:1	109	gi|490407808|ref|WP_004281278.1|	357	1	71.6	36	97.22	4e-15	28090
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_1:N:0:1	109	gi|491543865|ref|WP_005401483.1|	357	3	68.6	36	91.67	4e-14	40214
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_1:N:0:1	109	gi|491545807|ref|WP_005403423.1|	356	5	63.5	36	86.11	3e-12	40215
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_1:N:0:1	109	gi|494179420|ref|WP_007116006.1|	379	7	62.8	36	80.56	6e-12	225324
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_1:N:0:1	109	gi|490779423|ref|WP_004641609.1|	356	6	61.6	36	83.33	1e-11	29430
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_1:N:0:1	109	gi|493254110|ref|WP_006221283.1|	375	10	55.1	36	72.22	3e-09	72556
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_1:N:0:1	109	gi|493430521|ref|WP_006386131.1|	375	10	55.1	36	72.22	4e-09	85698
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_1:N:0:1	109	gi|491104116|ref|WP_004965547.1|	357	12	53.9	36	66.67	1e-08	618
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_1:N:0:1	109	gi|493863890|ref|WP_006810618.1|	357	12	53.5	36	66.67	1e-08	158836
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_1:N:0:1	109	gi|491912418|ref|WP_005667079.1|	369	16	47.8	36	55.56	2e-06	47229
+ at M01520:37:000000000-A4TDP:1:2102:14203:6934_1:N:0:1	114	gi|489751520|ref|WP_003655525.1|	139	4	70.1	37	89.19	2e-15	471
+ at M01520:37:000000000-A4TDP:1:2102:14203:6934_1:N:0:1	114	gi|169797643|ref|YP_001715436.1|	139	4	69.7	37	89.19	3e-15	509173
+ at M01520:37:000000000-A4TDP:1:2102:14203:6934_1:N:0:1	114	gi|490407454|ref|WP_004280998.1|	139	4	69.7	37	89.19	3e-15	28090
+ at M01520:37:000000000-A4TDP:1:2102:14203:6934_1:N:0:1	114	gi|490775293|ref|WP_004637489.1|	139	4	69.3	37	89.19	4e-15	469
+ at M01520:37:000000000-A4TDP:1:2102:14203:6934_1:N:0:1	114	gi|491043874|ref|WP_004905537.1|	139	5	68.2	37	86.49	9e-15	40215
+ at M01520:37:000000000-A4TDP:1:2102:14203:6934_1:N:0:1	114	gi|491544273|ref|WP_005401890.1|	139	5	67.8	37	86.49	1e-14	40214
+ at M01520:37:000000000-A4TDP:1:2102:14203:6934_1:N:0:1	114	gi|491158886|ref|WP_005017273.1|	139	7	65.9	37	81.08	7e-14	40216
+ at M01520:37:000000000-A4TDP:1:2102:14203:6934_1:N:0:1	114	gi|494178843|ref|WP_007115826.1|	138	8	61.2	37	78.38	3e-12	225324
+ at M01520:37:000000000-A4TDP:1:2102:14203:6934_1:N:0:1	114	gi|493248867|ref|WP_006217064.1|	141	12	49.7	37	67.57	5e-08	72556
+ at M01520:37:000000000-A4TDP:1:2102:14203:6934_1:N:0:1	114	gi|493431169|ref|WP_006386769.1|	141	12	48.9	37	67.57	1e-07	85698
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_1:N:0:1	85	gi|490319882|ref|WP_004209367.1|	444	0	59.7	28	100.00	7e-11	13690
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_1:N:0:1	85	gi|494060560|ref|WP_007002643.1|	434	9	40.4	28	67.86	4e-04	204525
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_1:N:0:1	85	gi|496137309|ref|WP_008861816.1|	702	12	38.1	28	57.14	0.003	487174
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_1:N:0:1	85	gi|492885320|ref|WP_006022262.1|	465	11	36.6	28	60.71	0.009	56946
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_1:N:0:1	85	gi|493299013|ref|WP_006256635.1|	714	12	36.6	27	55.56	0.009	76122
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_1:N:0:1	85	gi|488801052|ref|WP_002713458.1|	470	11	35.8	28	60.71	0.017	1034
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_1:N:0:1	85	gi|493433175|ref|WP_006388739.1|	440	12	35.8	27	55.56	0.018	85698
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_1:N:0:1	85	gi|488804718|ref|WP_002717124.1|	447	11	35.4	28	60.71	0.019	1035
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_1:N:0:1	85	gi|490459601|ref|WP_004330240.1|	712	12	35.4	28	57.14	0.022	28117
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_1:N:0:1	85	gi|491918129|ref|WP_005671246.1|	423	12	34.7	27	55.56	0.038	47229
+ at M01520:37:000000000-A4TDP:1:2102:12182:18402_1:N:0:1	134	gi|490407463|ref|WP_004281005.1|	225	0	92.8	44	100.00	2e-23	28090
+ at M01520:37:000000000-A4TDP:1:2102:12182:18402_1:N:0:1	134	gi|491544414|ref|WP_005402031.1|	237	1	91.3	44	97.73	1e-22	40214
+ at M01520:37:000000000-A4TDP:1:2102:12182:18402_1:N:0:1	134	gi|494179959|ref|WP_007116247.1|	342	1	90.9	44	97.73	3e-22	225324
+ at M01520:37:000000000-A4TDP:1:2102:12182:18402_1:N:0:1	134	gi|487912824|ref|WP_001986290.1|	324	1	90.9	44	97.73	3e-22	469
+ at M01520:37:000000000-A4TDP:1:2102:12182:18402_1:N:0:1	134	gi|446250938|ref|WP_000328793.1|	357	1	90.9	44	97.73	3e-22	470
+ at M01520:37:000000000-A4TDP:1:2102:12182:18402_1:N:0:1	134	gi|490405705|ref|WP_004279703.1|	242	2	90.1	44	95.45	4e-22	28090
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_1:N:0:1	132	gi|490321947|ref|WP_004211432.1|	791	6	82.0	44	86.36	4e-18	13690
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_1:N:0:1	132	gi|490321948|ref|WP_004211433.1|	792	15	59.7	44	65.91	2e-10	13690
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_1:N:0:1	132	gi|496420754|ref|WP_009129601.1|	862	23	47.0	45	44.44	5e-06	626931
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_1:N:0:1	132	gi|494934653|ref|WP_007660684.1|	862	23	47.0	45	44.44	6e-06	329854
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_1:N:0:1	132	gi|492238076|ref|WP_005784989.1|	722	26	45.8	44	40.91	1e-05	816
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_1:N:0:1	132	gi|492273288|ref|WP_005796124.1|	722	26	45.8	44	40.91	1e-05	817
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_1:N:0:1	132	gi|492295970|ref|WP_005801352.1|	722	26	45.8	44	40.91	1e-05	817
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_1:N:0:1	132	gi|492371314|ref|WP_005823808.1|	865	23	45.4	45	44.44	2e-05	820
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_1:N:0:1	132	gi|492409607|ref|WP_005835314.1|	864	23	45.4	45	44.44	2e-05	820
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_1:N:0:1	132	gi|490418874|ref|WP_004291193.1|	862	23	44.3	45	44.44	4e-05	28111
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_1:N:0:1	138	gi|490403819|ref|WP_004278258.1|	920	0	  100	45	100.00	2e-24	28090
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_1:N:0:1	138	gi|491543118|ref|WP_005400736.1|	921	4	94.4	45	91.11	2e-22	40214
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_1:N:0:1	138	gi|491157759|ref|WP_005016146.1|	919	7	88.6	45	84.44	2e-20	40216
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_1:N:0:1	138	gi|489751057|ref|WP_003655066.1|	923	7	88.6	45	84.44	2e-20	471
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_1:N:0:1	138	gi|184156936|ref|YP_001845275.1|	923	8	87.0	45	82.22	7e-20	405416
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_1:N:0:1	138	gi|169797137|ref|YP_001714930.1|	923	8	87.0	45	82.22	7e-20	509173
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_1:N:0:1	138	gi|490775793|ref|WP_004637982.1|	921	8	85.5	45	82.22	3e-19	29430
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_1:N:0:1	138	gi|491546130|ref|WP_005403745.1|	921	8	85.1	45	82.22	3e-19	40215
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_1:N:0:1	138	gi|494179686|ref|WP_007116129.1|	948	14	67.0	49	63.27	8e-13	225324
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_1:N:0:1	138	gi|490367201|ref|WP_004246865.1|	949	17	63.9	45	62.22	9e-12	584
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_1:N:0:1	97	gi|490404619|ref|WP_004278841.1|	275	0	63.9	32	100.00	9e-13	28090
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_1:N:0:1	97	gi|491543552|ref|WP_005401170.1|	291	8	53.5	32	75.00	8e-09	469
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_1:N:0:1	97	gi|489748369|ref|WP_003652378.1|	275	9	52.0	32	71.88	2e-08	471
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_1:N:0:1	97	gi|447012201|ref|WP_001089457.1|	275	10	51.2	32	68.75	4e-08	470
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_1:N:0:1	97	gi|184158611|ref|YP_001846950.1|	275	10	51.2	32	68.75	5e-08	405416
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_1:N:0:1	97	gi|491544770|ref|WP_005402387.1|	271	8	50.8	31	74.19	7e-08	40215
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_1:N:0:1	97	gi|491161544|ref|WP_005019931.1|	276	8	47.8	32	75.00	8e-07	40216
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_1:N:0:1	97	gi|490777273|ref|WP_004639459.1|	271	9	46.6	32	71.88	2e-06	29430
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_1:N:0:1	97	gi|397669637|ref|YP_006511172.1|	313	13	37.0	32	59.38	0.006	767029
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_1:N:0:1	97	gi|491425121|ref|WP_005282916.1|	274	14	36.6	30	53.33	0.007	38284
+ at M01520:37:000000000-A4TDP:1:2104:14010:14660_1:N:0:1	111	gi|490409052|ref|WP_004282308.1|	426	0	79.7	36	100.00	6e-18	28090
+ at M01520:37:000000000-A4TDP:1:2104:14010:14660_1:N:0:1	111	gi|491544084|ref|WP_005401702.1|	426	4	70.9	36	88.89	1e-14	40214
+ at M01520:37:000000000-A4TDP:1:2104:29246:14894_1:N:0:1	150	gi|490319810|ref|WP_004209295.1|	1147	12	70.9	48	75.00	4e-14	13690
+ at M01520:37:000000000-A4TDP:1:2104:29246:14894_1:N:0:1	150	gi|493770834|ref|WP_006719366.1|	249	16	30.0	29	44.83	1.7	739
+ at M01520:37:000000000-A4TDP:1:2104:29246:14894_1:N:0:1	150	gi|488718222|ref|WP_002642098.1|	456	21	30.4	36	41.67	1.8	72
+ at M01520:37:000000000-A4TDP:1:2104:29246:14894_1:N:0:1	150	gi|490779063|ref|WP_004641249.1|	246	16	29.6	29	44.83	2.7	29430
+ at M01520:37:000000000-A4TDP:1:2104:29246:14894_1:N:0:1	150	gi|491545685|ref|WP_005403301.1|	246	16	29.6	29	44.83	3.0	40215
+ at M01520:37:000000000-A4TDP:1:2104:29246:14894_1:N:0:1	150	gi|491547618|ref|WP_005405233.1|	249	16	29.6	29	44.83	3.0	40216
+ at M01520:37:000000000-A4TDP:1:2104:29246:14894_1:N:0:1	150	gi|169794513|ref|YP_001712306.1|	246	16	29.3	29	44.83	3.2	509173
+ at M01520:37:000000000-A4TDP:1:2104:29246:14894_1:N:0:1	150	gi|184159679|ref|YP_001848018.1|	246	16	29.3	29	44.83	3.2	405416
+ at M01520:37:000000000-A4TDP:1:2104:29246:14894_1:N:0:1	150	gi|446386739|ref|WP_000464594.1|	246	16	29.3	29	44.83	3.3	470
+ at M01520:37:000000000-A4TDP:1:2104:29246:14894_1:N:0:1	150	gi|490407710|ref|WP_004281202.1|	244	14	29.3	26	46.15	3.5	28090
+ at M01520:37:000000000-A4TDP:1:2105:18783:17383_1:N:0:1	150	gi|490318190|ref|WP_004207686.1|	704	10	82.4	49	79.59	3e-18	13690
+ at M01520:37:000000000-A4TDP:1:2105:18783:17383_1:N:0:1	150	gi|491656376|ref|WP_005513095.1|	727	18	64.7	47	61.70	5e-12	43767
+ at M01520:37:000000000-A4TDP:1:2105:18783:17383_1:N:0:1	150	gi|494061091|ref|WP_007003173.1|	1040	20	60.5	49	59.18	1e-10	204525
+ at M01520:37:000000000-A4TDP:1:2105:18783:17383_1:N:0:1	150	gi|488805985|ref|WP_002718391.1|	721	21	60.1	49	57.14	2e-10	1035
+ at M01520:37:000000000-A4TDP:1:2105:18783:17383_1:N:0:1	150	gi|490043827|ref|WP_003946189.1|	727	22	53.5	47	53.19	3e-08	1833
+ at M01520:37:000000000-A4TDP:1:2105:18783:17383_1:N:0:1	150	gi|488802058|ref|WP_002714464.1|	720	25	52.0	49	48.98	1e-07	1034
+ at M01520:37:000000000-A4TDP:1:2105:18783:17383_1:N:0:1	150	gi|492886719|ref|WP_006022702.1|	720	26	50.1	49	46.94	5e-07	56946
+ at M01520:37:000000000-A4TDP:1:2105:18783:17383_1:N:0:1	150	gi|496407123|ref|WP_009115987.1|	724	21	50.1	44	52.27	6e-07	607711
+ at M01520:37:000000000-A4TDP:1:2105:18783:17383_1:N:0:1	150	gi|491654641|ref|WP_005511361.1|	736	26	47.0	49	44.90	6e-06	43765
+ at M01520:37:000000000-A4TDP:1:2105:18783:17383_1:N:0:1	150	gi|491156288|ref|WP_005014675.1|	721	18	46.6	43	51.16	9e-06	40216
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_1:N:0:1	139	gi|490407634|ref|WP_004281139.1|	841	0	  101	46	100.00	5e-25	28090
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_1:N:0:1	139	gi|491165832|ref|WP_005024203.1|	848	2	97.8	46	95.65	1e-23	40216
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_1:N:0:1	139	gi|491543738|ref|WP_005401356.1|	842	3	97.8	46	93.48	1e-23	469
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_1:N:0:1	139	gi|446659317|ref|WP_000736663.1|	851	3	97.4	46	93.48	2e-23	470
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_1:N:0:1	139	gi|384144826|ref|YP_005527536.1|	851	3	97.4	46	93.48	2e-23	497978
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_1:N:0:1	139	gi|491545714|ref|WP_005403330.1|	844	3	96.7	46	93.48	3e-23	40215
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_1:N:0:1	139	gi|489749807|ref|WP_003653816.1|	849	4	96.3	46	91.30	4e-23	471
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_1:N:0:1	139	gi|491547638|ref|WP_005405253.1|	848	3	96.3	46	93.48	4e-23	40216
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_1:N:0:1	139	gi|490779143|ref|WP_004641329.1|	863	3	95.5	46	93.48	7e-23	469
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_1:N:0:1	139	gi|494180297|ref|WP_007116391.1|	909	12	73.9	46	73.91	3e-15	225324
+ at M01520:37:000000000-A4TDP:1:2106:23991:18196_1:N:0:1	93	gi|490319400|ref|WP_004208893.1|	290	3	59.7	30	90.00	3e-11	13690
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_1:N:0:1	133	gi|490404201|ref|WP_004278514.1|	321	1	95.9	44	97.73	4e-24	28090
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_1:N:0:1	133	gi|491158403|ref|WP_005016790.1|	319	8	87.0	44	81.82	6e-21	40216
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_1:N:0:1	133	gi|493736599|ref|WP_006685801.1|	314	20	47.4	42	50.00	2e-06	133448
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_1:N:0:1	133	gi|157157662|ref|YP_001461524.1|	314	20	47.0	42	50.00	3e-06	331111
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_1:N:0:1	133	gi|312140852|ref|YP_004008188.1|	310	21	38.5	35	40.00	0.003	685727
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_1:N:0:1	133	gi|489944983|ref|WP_003848290.1|	312	27	37.0	44	38.64	0.009	1697
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_1:N:0:1	133	gi|491655480|ref|WP_005512200.1|	313	29	35.8	44	34.09	0.021	43767
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_1:N:0:1	133	gi|493428549|ref|WP_006384206.1|	321	11	35.4	27	59.26	0.028	85698
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_1:N:0:1	133	gi|489884608|ref|WP_003788058.1|	153	26	30.0	40	30.00	1.2	504
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_1:N:0:1	133	gi|496406493|ref|WP_009115357.1|	297	13	29.6	27	51.85	2.6	607711
+ at M01520:37:000000000-A4TDP:1:2107:25063:12748_1:N:0:1	87	gi|493251531|ref|WP_006219397.1|	279	5	52.0	29	82.76	3e-08	72556
+ at M01520:37:000000000-A4TDP:1:2107:25063:12748_1:N:0:1	87	gi|490321099|ref|WP_004210584.1|	274	6	50.8	29	79.31	6e-08	13690
+ at M01520:37:000000000-A4TDP:1:2107:25063:12748_1:N:0:1	87	gi|490321964|ref|WP_004211449.1|	286	8	46.2	29	72.41	2e-06	13690
+ at M01520:37:000000000-A4TDP:1:2107:25063:12748_1:N:0:1	87	gi|491904284|ref|WP_005662715.1|	276	11	43.5	29	62.07	3e-05	47229
+ at M01520:37:000000000-A4TDP:1:2107:25063:12748_1:N:0:1	87	gi|489070196|ref|WP_002980168.1|	276	14	37.0	29	51.72	0.005	250
+ at M01520:37:000000000-A4TDP:1:2107:25063:12748_1:N:0:1	87	gi|489097093|ref|WP_003006972.1|	273	16	32.3	29	44.83	0.20	258
+ at M01520:37:000000000-A4TDP:1:2107:25063:12748_1:N:0:1	87	gi|489084542|ref|WP_002994451.1|	274	16	32.3	29	44.83	0.20	258
+ at M01520:37:000000000-A4TDP:1:2107:25063:12748_1:N:0:1	87	gi|489086903|ref|WP_002996808.1|	269	16	30.4	29	44.83	0.79	258
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_1:N:0:1	95	gi|490408952|ref|WP_004282226.1|	317	0	64.3	31	100.00	1e-12	28090
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_1:N:0:1	95	gi|490408960|ref|WP_004282234.1|	317	0	64.3	31	100.00	1e-12	28090
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_1:N:0:1	95	gi|490408998|ref|WP_004282272.1|	317	1	62.8	31	96.77	4e-12	28090
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_1:N:0:1	95	gi|490408989|ref|WP_004282263.1|	317	1	62.8	31	96.77	4e-12	28090
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_1:N:0:1	95	gi|490779643|ref|WP_004641829.1|	323	4	58.2	31	87.10	2e-10	29430
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_1:N:0:1	95	gi|490408975|ref|WP_004282249.1|	349	4	58.2	31	87.10	2e-10	28090
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_1:N:0:1	95	gi|491544380|ref|WP_005401997.1|	376	4	57.8	31	87.10	3e-10	40214
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_1:N:0:1	95	gi|490408985|ref|WP_004282259.1|	368	4	57.8	31	87.10	3e-10	28090
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_1:N:0:1	95	gi|491546407|ref|WP_005404022.1|	117	13	36.2	30	56.67	0.002	40215
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_1:N:0:1	95	gi|490779704|ref|WP_004641890.1|	555	12	36.6	30	60.00	0.010	29430
+ at M01520:37:000000000-A4TDP:1:2107:8046:19013_1:N:0:1	133	gi|491160929|ref|WP_005019316.1|	135	3	87.4	44	93.18	5e-22	40216
+ at M01520:37:000000000-A4TDP:1:2107:8046:19013_1:N:0:1	133	gi|491546797|ref|WP_005404412.1|	138	3	87.4	44	93.18	7e-22	40216
+ at M01520:37:000000000-A4TDP:1:2107:8046:19013_1:N:0:1	133	gi|490404953|ref|WP_004279110.1|	154	1	87.0	44	97.73	1e-21	28090
+ at M01520:37:000000000-A4TDP:1:2107:8046:19013_1:N:0:1	133	gi|491542102|ref|WP_005399721.1|	142	3	86.3	44	93.18	2e-21	40214
+ at M01520:37:000000000-A4TDP:1:2107:8046:19013_1:N:0:1	133	gi|169795062|ref|YP_001712855.1|	163	4	85.9	44	90.91	4e-21	509173
+ at M01520:37:000000000-A4TDP:1:2107:8046:19013_1:N:0:1	133	gi|169632718|ref|YP_001706454.1|	163	4	85.9	44	90.91	4e-21	509170
+ at M01520:37:000000000-A4TDP:1:2107:8046:19013_1:N:0:1	133	gi|489746215|ref|WP_003650233.1|	163	4	85.9	44	90.91	4e-21	471
+ at M01520:37:000000000-A4TDP:1:2107:8046:19013_1:N:0:1	133	gi|491051915|ref|WP_004913566.1|	135	4	84.3	44	90.91	8e-21	40215
+ at M01520:37:000000000-A4TDP:1:2107:8046:19013_1:N:0:1	133	gi|490777914|ref|WP_004640100.1|	137	4	83.2	44	90.91	2e-20	469
+ at M01520:37:000000000-A4TDP:1:2107:8046:19013_1:N:0:1	133	gi|490319886|ref|WP_004209371.1|	156	25	35.4	40	37.50	0.015	28211
+ at M01520:37:000000000-A4TDP:1:2109:20184:3970_1:N:0:1	121	gi|490319328|ref|WP_004208821.1|	171	8	70.1	40	80.00	3e-15	13690
+ at M01520:37:000000000-A4TDP:1:2109:20184:3970_1:N:0:1	121	gi|490317916|ref|WP_004207412.1|	170	18	44.7	36	50.00	6e-06	13690
+ at M01520:37:000000000-A4TDP:1:2109:20184:3970_1:N:0:1	121	gi|493430610|ref|WP_006386219.1|	162	23	30.0	37	37.84	1.1	85698
+ at M01520:37:000000000-A4TDP:1:2109:20184:3970_1:N:0:1	121	gi|209972970|ref|YP_002300417.1|	925	13	30.4	25	48.00	1.5	10685
+ at M01520:37:000000000-A4TDP:1:2109:20184:3970_1:N:0:1	121	gi|493429116|ref|WP_006384754.1|	180	27	29.6	37	27.03	1.6	85698
+ at M01520:37:000000000-A4TDP:1:2109:20184:3970_1:N:0:1	121	gi|491665347|ref|WP_005522062.1|	354	14	29.3	27	48.15	3.1	43768
+ at M01520:37:000000000-A4TDP:1:2109:20184:3970_1:N:0:1	121	gi|490321196|ref|WP_004210681.1|	169	25	28.9	40	37.50	3.5	13690
+ at M01520:37:000000000-A4TDP:1:2109:20184:3970_1:N:0:1	121	gi|209916843|ref|YP_002291163.1|	401	11	29.3	23	52.17	3.7	409438
+ at M01520:37:000000000-A4TDP:1:2109:20184:3970_1:N:0:1	121	gi|491669072|ref|WP_005525214.1|	354	15	28.1	27	44.44	8.0	43768
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_1:N:0:1	115	gi|490404533|ref|WP_004278771.1|	378	0	75.1	38	100.00	3e-16	28090
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_1:N:0:1	115	gi|169795529|ref|YP_001713322.1|	378	3	70.1	38	92.11	2e-14	509173
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_1:N:0:1	115	gi|446525128|ref|WP_000602474.1|	378	3	70.1	38	92.11	2e-14	470
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_1:N:0:1	115	gi|491156402|ref|WP_005014789.1|	378	4	69.7	38	89.47	2e-14	40216
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_1:N:0:1	115	gi|491543084|ref|WP_005400702.1|	378	5	68.2	38	86.84	9e-14	40214
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_1:N:0:1	115	gi|489748440|ref|WP_003652449.1|	378	5	67.4	38	86.84	2e-13	471
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_1:N:0:1	115	gi|491906960|ref|WP_005664326.1|	379	8	62.8	38	78.95	8e-12	47229
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_1:N:0:1	115	gi|491155881|ref|WP_005014268.1|	375	9	57.4	38	76.32	5e-10	40216
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_1:N:0:1	115	gi|490775243|ref|WP_004637440.1|	375	10	55.5	38	73.68	3e-09	29430
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_1:N:0:1	115	gi|447083511|ref|WP_001160767.1|	375	10	55.1	38	73.68	4e-09	470
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_1:N:0:1	104	gi|490783215|ref|WP_004645384.1|	248	0	74.7	34	100.00	7e-17	469
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_1:N:0:1	104	gi|490409147|ref|WP_004282335.1|	240	0	73.9	34	100.00	1e-16	28090
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_1:N:0:1	104	gi|491050429|ref|WP_004912080.1|	248	3	72.0	34	91.18	9e-16	469
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_1:N:0:1	104	gi|491472859|ref|WP_005330612.1|	199	7	59.7	33	78.79	2e-11	469
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_1:N:0:1	104	gi|489881840|ref|WP_003785293.1|	134	9	57.4	34	73.53	9e-11	504
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_1:N:0:1	104	gi|490409189|ref|WP_004282350.1|	163	10	53.9	34	70.59	1e-09	28090
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_1:N:0:1	104	gi|488717846|ref|WP_002641722.1|	251	16	46.2	34	52.94	2e-06	72
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_1:N:0:1	104	gi|488717280|ref|WP_002641156.1|	251	16	46.2	34	52.94	2e-06	72
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_1:N:0:1	104	gi|488717975|ref|WP_002641851.1|	162	16	44.7	34	52.94	4e-06	72
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_1:N:0:1	104	gi|488718810|ref|WP_002642686.1|	251	17	43.5	34	50.00	2e-05	72
+ at M01520:37:000000000-A4TDP:1:2110:13096:20838_1:N:0:1	108	gi|490779735|ref|WP_004641921.1|	90	4	63.5	35	88.57	3e-13	469
+ at M01520:37:000000000-A4TDP:1:2110:13096:20838_1:N:0:1	108	gi|490408778|ref|WP_004282080.1|	90	4	62.8	35	88.57	4e-13	28090
+ at M01520:37:000000000-A4TDP:1:2110:13096:20838_1:N:0:1	108	gi|491035233|ref|WP_004896911.1|	90	4	62.8	35	88.57	4e-13	469
+ at M01520:37:000000000-A4TDP:1:2110:13096:20838_1:N:0:1	108	gi|491544376|ref|WP_005401993.1|	90	8	57.4	35	77.14	5e-11	40214
+ at M01520:37:000000000-A4TDP:1:2110:13096:20838_1:N:0:1	108	gi|493868618|ref|WP_006815208.1|	94	18	30.8	32	43.75	0.19	158850
+ at M01520:37:000000000-A4TDP:1:2110:13096:20838_1:N:0:1	108	gi|490374626|ref|WP_004254227.1|	98	18	30.4	32	43.75	0.39	587
+ at M01520:37:000000000-A4TDP:1:2110:13096:20838_1:N:0:1	108	gi|26251283|ref|NP_757323.1|	94	13	27.7	24	45.83	2.9	199310
+ at M01520:37:000000000-A4TDP:1:2110:13096:20838_1:N:0:1	108	gi|491043899|ref|WP_004905562.1|	100	13	27.3	22	40.91	5.0	587
+ at M01520:37:000000000-A4TDP:1:2110:13096:20838_1:N:0:1	108	gi|498382561|ref|WP_010696717.1|	102	20	27.3	35	42.86	5.2	158
+ at M01520:37:000000000-A4TDP:1:2110:13096:20838_1:N:0:1	108	gi|488766388|ref|WP_002689588.1|	102	21	26.9	35	40.00	7.4	158
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_1:N:0:1	125	gi|490407900|ref|WP_004281365.1|	370	1	83.6	41	97.56	2e-19	28090
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_1:N:0:1	125	gi|491543913|ref|WP_005401531.1|	368	3	80.9	41	92.68	2e-18	40214
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_1:N:0:1	125	gi|490779315|ref|WP_004641501.1|	368	6	74.7	41	85.37	3e-16	29430
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_1:N:0:1	125	gi|491159492|ref|WP_005017879.1|	369	6	72.8	40	85.00	2e-15	40216
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_1:N:0:1	125	gi|489750033|ref|WP_003654042.1|	375	7	72.4	41	82.93	2e-15	471
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_1:N:0:1	125	gi|384144939|ref|YP_005527649.1|	370	7	72.0	41	82.93	4e-15	497978
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_1:N:0:1	125	gi|169794377|ref|YP_001712170.1|	377	7	72.0	41	82.93	4e-15	509173
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_1:N:0:1	125	gi|490738668|ref|WP_004600976.1|	365	16	53.9	41	60.98	1e-08	29321
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_1:N:0:1	125	gi|490040462|ref|WP_003942868.1|	378	16	51.6	41	60.98	8e-08	1833
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_1:N:0:1	125	gi|326781947|ref|YP_004322349.1|	267	27	28.1	39	30.77	8.1	444860
+ at M01520:37:000000000-A4TDP:1:2111:15121:16887_1:N:0:1	150	gi|446132662|ref|WP_000210517.1|	127	0	  103	49	100.00	2e-28	470
+ at M01520:37:000000000-A4TDP:1:2111:15121:16887_1:N:0:1	150	gi|491546411|ref|WP_005404026.1|	127	2	  100	49	95.92	6e-27	40215
+ at M01520:37:000000000-A4TDP:1:2111:15121:16887_1:N:0:1	150	gi|490779922|ref|WP_004642108.1|	127	3	97.1	49	93.88	1e-25	29430
+ at M01520:37:000000000-A4TDP:1:2111:15121:16887_1:N:0:1	150	gi|490409054|ref|WP_004282309.1|	104	4	94.4	49	91.84	8e-25	28090
+ at M01520:37:000000000-A4TDP:1:2111:15121:16887_1:N:0:1	150	gi|493433425|ref|WP_006388985.1|	454	21	29.3	36	41.67	4.7	85698
+ at M01520:37:000000000-A4TDP:1:2111:15121:16887_1:N:0:1	150	gi|489102494|ref|WP_003012355.1|	293	18	28.1	27	33.33	8.9	258
+ at M01520:37:000000000-A4TDP:1:2112:6112:16060_1:N:0:1	84	gi|490405656|ref|WP_004279663.1|	291	0	41.2	19	100.00	2e-04	28090
+ at M01520:37:000000000-A4TDP:1:2112:6112:16060_1:N:0:1	84	gi|493742378|ref|WP_006691459.1|	56	15	26.6	26	42.31	4.1	135082
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_1:N:0:1	143	gi|490317815|ref|WP_004207311.1|	189	3	96.3	47	93.62	9e-25	13690
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_1:N:0:1	143	gi|493254879|ref|WP_006221667.1|	176	18	68.2	47	61.70	2e-14	72556
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_1:N:0:1	143	gi|488804628|ref|WP_002717034.1|	201	17	63.9	47	63.83	9e-13	1035
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_1:N:0:1	143	gi|492884469|ref|WP_006021995.1|	204	19	63.5	47	59.57	1e-12	56946
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_1:N:0:1	143	gi|494061673|ref|WP_007003753.1|	190	19	63.2	47	59.57	1e-12	204525
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_1:N:0:1	143	gi|488800794|ref|WP_002713200.1|	205	19	63.2	47	59.57	2e-12	1034
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_1:N:0:1	143	gi|491905575|ref|WP_005663340.1|	194	21	61.2	47	55.32	6e-12	47229
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_1:N:0:1	143	gi|495818852|ref|WP_008543431.1|	391	23	61.6	47	51.06	3e-11	437898
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_1:N:0:1	143	gi|492549294|ref|WP_005882473.1|	195	23	59.3	47	51.06	4e-11	847
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_1:N:0:1	143	gi|496085814|ref|WP_008810321.1|	201	23	58.2	47	51.06	1e-10	80840
+ at M01520:37:000000000-A4TDP:1:2113:15287:15423_1:N:0:1	140	gi|490323944|ref|WP_004213415.1|	435	2	93.6	45	95.56	9e-23	13690
+ at M01520:37:000000000-A4TDP:1:2113:15287:15423_1:N:0:1	140	gi|490982830|ref|WP_004844583.1|	743	22	30.4	40	37.50	2.0	33038
+ at M01520:37:000000000-A4TDP:1:2113:15287:15423_1:N:0:1	140	gi|385224765|ref|YP_005784690.1|	569	17	30.0	33	45.45	2.2	585538
+ at M01520:37:000000000-A4TDP:1:2113:15287:15423_1:N:0:1	140	gi|384895454|ref|YP_005769443.1|	569	17	30.0	33	45.45	2.3	585535
+ at M01520:37:000000000-A4TDP:1:2113:15287:15423_1:N:0:1	140	gi|489000562|ref|WP_002911224.1|	745	22	28.5	42	40.48	7.6	1305
+ at M01520:37:000000000-A4TDP:1:2113:15287:15423_1:N:0:1	140	gi|488390854|ref|WP_002460239.1|	571	10	28.1	26	57.69	9.3	28035
+ at M01520:37:000000000-A4TDP:1:2113:2868:18880_1:N:0:1	143	gi|490405083|ref|WP_004279210.1|	293	4	90.5	47	91.49	4e-22	28090
+ at M01520:37:000000000-A4TDP:1:2113:2868:18880_1:N:0:1	143	gi|126641650|ref|YP_001084634.1|	202	16	70.5	47	65.96	4e-15	400667
+ at M01520:37:000000000-A4TDP:1:2113:2868:18880_1:N:0:1	143	gi|489747499|ref|WP_003651508.1|	292	17	67.4	47	63.83	1e-13	471
+ at M01520:37:000000000-A4TDP:1:2113:2868:18880_1:N:0:1	143	gi|491545498|ref|WP_005403114.1|	291	23	56.2	47	51.06	2e-09	40215
+ at M01520:37:000000000-A4TDP:1:2113:2868:18880_1:N:0:1	143	gi|490775924|ref|WP_004638113.1|	291	24	50.4	47	48.94	2e-07	29430
+ at M01520:37:000000000-A4TDP:1:2113:2868:18880_1:N:0:1	143	gi|491909823|ref|WP_005665792.1|	222	27	44.3	47	42.55	2e-05	47229
+ at M01520:37:000000000-A4TDP:1:2113:2868:18880_1:N:0:1	143	gi|490320505|ref|WP_004209990.1|	251	28	31.6	44	36.36	0.55	13690
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_1:N:0:1	105	gi|490406771|ref|WP_004280548.1|	1031	1	70.9	34	97.06	2e-14	28090
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_1:N:0:1	105	gi|491542824|ref|WP_005400442.1|	1034	2	69.7	34	94.12	5e-14	40214
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_1:N:0:1	105	gi|491157224|ref|WP_005015611.1|	1032	3	64.7	32	90.62	3e-12	40216
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_1:N:0:1	105	gi|489746092|ref|WP_003650111.1|	1031	7	61.2	34	79.41	4e-11	471
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_1:N:0:1	105	gi|384144336|ref|YP_005527046.1|	1031	7	61.2	34	79.41	4e-11	497978
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_1:N:0:1	105	gi|487913223|ref|WP_001986689.1|	1031	7	61.2	34	79.41	4e-11	470
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_1:N:0:1	105	gi|491094448|ref|WP_004956054.1|	1034	8	58.9	34	76.47	3e-10	40215
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_1:N:0:1	105	gi|490778074|ref|WP_004640260.1|	1033	6	57.8	32	81.25	8e-10	29430
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_1:N:0:1	105	gi|490646044|ref|WP_004511039.1|	1041	11	57.0	34	67.65	1e-09	28197
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_1:N:0:1	105	gi|494177638|ref|WP_007115458.1|	1090	13	48.9	34	61.76	8e-07	225324
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_1:N:0:1	148	gi|490405750|ref|WP_004279739.1|	875	2	97.8	48	95.83	1e-23	28090
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_1:N:0:1	148	gi|491547222|ref|WP_005404837.1|	870	12	79.3	48	75.00	4e-17	40216
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_1:N:0:1	148	gi|491546617|ref|WP_005404232.1|	870	12	79.3	48	75.00	4e-17	40216
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_1:N:0:1	148	gi|491545216|ref|WP_005402832.1|	876	16	73.2	48	66.67	5e-15	40215
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_1:N:0:1	148	gi|489746452|ref|WP_003650469.1|	872	17	72.8	48	64.58	7e-15	471
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_1:N:0:1	148	gi|491542044|ref|WP_005399663.1|	877	18	72.4	48	62.50	1e-14	40214
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_1:N:0:1	148	gi|384132718|ref|YP_005515330.1|	872	17	72.0	48	64.58	1e-14	696749
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_1:N:0:1	148	gi|169795193|ref|YP_001712986.1|	872	17	72.0	48	64.58	1e-14	509173
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_1:N:0:1	148	gi|490777451|ref|WP_004639637.1|	877	20	66.2	48	58.33	1e-12	29430
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_1:N:0:1	148	gi|493964102|ref|WP_006907541.1|	339	18	31.6	31	41.94	0.76	178214
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_1:N:0:1	73	gi|490405292|ref|WP_004279373.1|	451	1	50.8	24	95.83	9e-08	28090
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_1:N:0:1	73	gi|491157565|ref|WP_005015952.1|	450	4	46.6	24	83.33	2e-06	40216
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_1:N:0:1	73	gi|490778316|ref|WP_004640502.1|	431	4	44.7	24	83.33	1e-05	29430
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_1:N:0:1	73	gi|491089074|ref|WP_004950684.1|	452	6	42.4	24	75.00	7e-05	40215
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_1:N:0:1	73	gi|489751355|ref|WP_003655361.1|	451	6	39.7	23	73.91	6e-04	471
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_1:N:0:1	73	gi|213157706|ref|YP_002320504.1|	430	7	38.1	23	69.57	0.002	480119
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_1:N:0:1	73	gi|184159334|ref|YP_001847673.1|	430	7	38.1	23	69.57	0.002	405416
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_1:N:0:1	73	gi|491544054|ref|WP_005401672.1|	300	9	36.2	24	62.50	0.008	40214
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_1:N:0:1	73	gi|491542354|ref|WP_005399973.1|	450	9	33.9	24	62.50	0.055	40214
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_1:N:0:1	73	gi|184157447|ref|YP_001845786.1|	431	5	33.1	19	73.68	0.12	405416
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_2:N:0:1	121	gi|490318842|ref|WP_004208337.1|	652	3	82.8	39	92.31	1e-18	13690
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_2:N:0:1	121	gi|490319924|ref|WP_004209409.1|	647	3	81.6	39	92.31	4e-18	13690
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_2:N:0:1	121	gi|494062700|ref|WP_007004780.1|	643	7	75.1	40	82.50	6e-16	204525
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_2:N:0:1	121	gi|494177241|ref|WP_007115123.1|	649	11	73.6	39	71.79	2e-15	225324
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_2:N:0:1	121	gi|491159490|ref|WP_005017877.1|	648	11	71.2	39	71.79	2e-14	40216
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_2:N:0:1	121	gi|493867402|ref|WP_006814012.1|	651	8	68.9	39	79.49	9e-14	158850
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_2:N:0:1	121	gi|386743407|ref|YP_006216586.1|	651	9	67.4	39	76.92	4e-13	1157951
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_2:N:0:1	121	gi|490407894|ref|WP_004281359.1|	648	12	67.0	39	69.23	4e-13	28090
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_2:N:0:1	121	gi|491543906|ref|WP_005401524.1|	647	12	66.6	39	69.23	6e-13	40214
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_2:N:0:1	121	gi|493707745|ref|WP_006657421.1|	651	10	66.2	39	74.36	8e-13	126385
+ at M01520:37:000000000-A4TDP:1:1101:26755:16258_2:N:0:1	150	gi|490408265|ref|WP_004281694.1|	544	0	  100	49	100.00	4e-25	28090
+ at M01520:37:000000000-A4TDP:1:1101:26755:16258_2:N:0:1	150	gi|491546718|ref|WP_005404333.1|	532	8	88.2	49	83.67	2e-20	40216
+ at M01520:37:000000000-A4TDP:1:1101:26755:16258_2:N:0:1	150	gi|491157703|ref|WP_005016090.1|	499	8	87.8	49	83.67	2e-20	40216
+ at M01520:37:000000000-A4TDP:1:1101:26755:16258_2:N:0:1	150	gi|491542613|ref|WP_005400232.1|	543	9	87.4	49	81.63	4e-20	40214
+ at M01520:37:000000000-A4TDP:1:1101:26755:16258_2:N:0:1	150	gi|213157948|ref|YP_002320746.1|	541	9	85.9	49	81.63	1e-19	480119
+ at M01520:37:000000000-A4TDP:1:1101:26755:16258_2:N:0:1	150	gi|184159510|ref|YP_001847849.1|	541	9	85.9	49	81.63	1e-19	405416
+ at M01520:37:000000000-A4TDP:1:1101:26755:16258_2:N:0:1	150	gi|490778701|ref|WP_004640887.1|	542	10	84.0	49	79.59	6e-19	29430
+ at M01520:37:000000000-A4TDP:1:1101:26755:16258_2:N:0:1	150	gi|489752073|ref|WP_003656075.1|	543	10	83.2	49	79.59	1e-18	471
+ at M01520:37:000000000-A4TDP:1:1101:26755:16258_2:N:0:1	150	gi|491102601|ref|WP_004964201.1|	543	12	80.9	49	75.51	8e-18	40215
+ at M01520:37:000000000-A4TDP:1:1101:26755:16258_2:N:0:1	150	gi|384143219|ref|YP_005525929.1|	519	24	57.8	49	51.02	1e-09	497978
+ at M01520:37:000000000-A4TDP:1:1101:13751:20874_2:N:0:1	85	gi|490406300|ref|WP_004280154.1|	281	1	59.7	28	96.43	3e-11	28090
+ at M01520:37:000000000-A4TDP:1:1101:13751:20874_2:N:0:1	85	gi|491547367|ref|WP_005404982.1|	281	7	49.7	27	74.07	1e-07	40216
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_2:N:0:1	110	gi|490320798|ref|WP_004210283.1|	622	0	76.3	36	100.00	2e-16	13690
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_2:N:0:1	110	gi|489773586|ref|WP_003677486.1|	639	14	50.4	36	61.11	3e-07	483
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_2:N:0:1	110	gi|489854910|ref|WP_003758575.1|	640	14	50.4	36	61.11	3e-07	490
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_2:N:0:1	110	gi|489838553|ref|WP_003742263.1|	640	14	50.1	36	61.11	3e-07	488
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_2:N:0:1	110	gi|496408183|ref|WP_009117047.1|	643	15	50.1	36	58.33	3e-07	607711
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_2:N:0:1	110	gi|489874410|ref|WP_003777926.1|	640	14	50.1	36	61.11	3e-07	496
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_2:N:0:1	110	gi|488142304|ref|WP_002213512.1|	640	14	50.1	36	61.11	3e-07	487
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_2:N:0:1	110	gi|489806452|ref|WP_003710324.1|	640	14	50.1	36	61.11	4e-07	486
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_2:N:0:1	110	gi|489779554|ref|WP_003683445.1|	639	14	49.7	36	61.11	5e-07	484
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_2:N:0:1	110	gi|490655611|ref|WP_004520601.1|	638	14	48.9	36	61.11	8e-07	28449
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_2:N:0:1	85	gi|490317999|ref|WP_004207495.1|	1154	5	50.1	26	80.77	3e-07	13690
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_2:N:0:1	85	gi|492879748|ref|WP_006020619.1|	1171	10	47.0	28	64.29	3e-06	56946
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_2:N:0:1	85	gi|488799341|ref|WP_002711747.1|	1171	10	47.0	28	64.29	3e-06	1034
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_2:N:0:1	85	gi|488803380|ref|WP_002715786.1|	1172	10	44.3	28	64.29	3e-05	1035
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_2:N:0:1	85	gi|491966140|ref|WP_005696360.1|	1149	12	38.9	28	57.14	0.002	729
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_2:N:0:1	85	gi|493770557|ref|WP_006719093.1|	1149	11	38.1	28	60.71	0.003	739
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_2:N:0:1	85	gi|494060091|ref|WP_007002174.1|	1174	12	37.7	27	55.56	0.004	204525
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_2:N:0:1	85	gi|494042680|ref|WP_006984801.1|	1133	10	37.4	26	61.54	0.006	194702
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_2:N:0:1	85	gi|251792001|ref|YP_003006721.1|	1151	12	36.6	28	57.14	0.010	634176
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_2:N:0:1	85	gi|494451916|ref|WP_007242916.1|	1151	12	36.6	28	57.14	0.012	249188
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_2:N:0:1	125	gi|490319360|ref|WP_004208853.1|	166	5	80.9	41	87.80	3e-19	13690
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_2:N:0:1	125	gi|16273108|ref|NP_439342.1|	295	13	30.0	25	48.00	1.6	71421
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_2:N:0:1	125	gi|492845230|ref|WP_005999184.1|	129	15	28.5	31	48.39	3.9	56774
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_2:N:0:1	125	gi|491911343|ref|WP_005666421.1|	328	14	28.5	33	39.39	5.8	47229
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_2:N:0:1	125	gi|490981430|ref|WP_004843191.1|	475	5	28.5	13	61.54	6.5	33038
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_2:N:0:1	125	gi|494452727|ref|WP_007243537.1|	294	8	28.1	18	55.56	7.6	249188
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_2:N:0:1	125	gi|495839516|ref|WP_008564095.1|	581	15	28.1	26	42.31	8.0	439703
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_2:N:0:1	125	gi|490508644|ref|WP_004374671.1|	581	15	28.1	26	42.31	8.0	28135
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_2:N:0:1	125	gi|490471126|ref|WP_004341624.1|	581	15	28.1	26	42.31	8.0	28126
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_2:N:0:1	125	gi|493296527|ref|WP_006254174.1|	581	15	28.1	26	42.31	8.8	76122
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_2:N:0:1	140	gi|490318198|ref|WP_004207694.1|	434	7	50.1	46	84.78	4e-07	13690
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_2:N:0:1	140	gi|495817553|ref|WP_008542132.1|	421	5	33.9	20	75.00	0.12	437898
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_2:N:0:1	140	gi|493916133|ref|WP_006861355.1|	503	5	33.9	19	73.68	0.14	168384
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_2:N:0:1	140	gi|494062129|ref|WP_007004209.1|	424	4	33.1	19	78.95	0.19	204525
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_2:N:0:1	140	gi|496138952|ref|WP_008863459.1|	430	5	33.1	20	75.00	0.22	487175
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_2:N:0:1	140	gi|495818750|ref|WP_008543329.1|	423	5	32.7	20	75.00	0.29	437898
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_2:N:0:1	140	gi|496139175|ref|WP_008863682.1|	422	5	32.3	20	75.00	0.38	487175
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_2:N:0:1	140	gi|496086054|ref|WP_008810561.1|	415	5	31.6	20	75.00	0.63	80840
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_2:N:0:1	140	gi|496139992|ref|WP_008864499.1|	437	7	29.3	19	63.16	4.4	487175
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_2:N:0:1	120	gi|490407309|ref|WP_004280912.1|	560	0	79.7	36	100.00	1e-17	28090
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_2:N:0:1	120	gi|491545841|ref|WP_005403457.1|	555	14	40.0	30	53.33	9e-04	40215
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_2:N:0:1	120	gi|446983975|ref|WP_001061231.1|	549	14	33.5	32	50.00	0.13	470
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_2:N:0:1	120	gi|490775013|ref|WP_004637214.1|	550	10	31.6	24	54.17	0.72	469
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_2:N:0:1	120	gi|491906597|ref|WP_005664104.1|	502	15	29.6	27	44.44	2.7	47229
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_2:N:0:1	120	gi|491906669|ref|WP_005664147.1|	502	19	29.6	32	40.62	2.7	47229
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_2:N:0:1	120	gi|38347956|ref|NP_941205.1|	482	16	29.6	32	46.88	2.9	615
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_2:N:0:1	120	gi|310831412|ref|YP_003970055.1|	235	5	27.7	15	66.67	8.1	693272
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_2:N:0:1	120	gi|493646578|ref|WP_006598184.1|	298	9	28.1	24	54.17	8.2	113287
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_2:N:0:1	137	gi|490409057|ref|WP_004282311.1|	199	3	54.7	45	93.33	2e-09	28090
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_2:N:0:1	137	gi|490409059|ref|WP_004282312.1|	175	4	52.4	45	91.11	9e-09	28090
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_2:N:0:1	137	gi|491546179|ref|WP_005403794.1|	525	5	54.3	45	88.89	1e-08	40215
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_2:N:0:1	137	gi|491544401|ref|WP_005402018.1|	504	4	52.4	45	91.11	6e-08	40214
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_2:N:0:1	137	gi|491546413|ref|WP_005404028.1|	504	4	52.0	45	91.11	8e-08	40215
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_2:N:0:1	137	gi|490779841|ref|WP_004642027.1|	440	2	36.6	35	94.29	0.016	29430
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_2:N:0:1	137	gi|446564708|ref|WP_000642054.1|	436	4	30.8	31	87.10	1.3	470
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_2:N:0:1	137	gi|491544665|ref|WP_005402282.1|	213	18	29.3	32	40.62	3.1	40215
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_2:N:0:1	137	gi|447017162|ref|WP_001094418.1|	97	0	27.7	13	100.00	4.4	470
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_2:N:0:1	124	gi|490405915|ref|WP_004279874.1|	161	0	83.6	41	100.00	3e-20	28090
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_2:N:0:1	124	gi|491543415|ref|WP_005401033.1|	201	8	71.2	41	80.49	2e-15	469
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_2:N:0:1	124	gi|491156215|ref|WP_005014602.1|	161	17	57.0	41	58.54	2e-10	40216
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_2:N:0:1	124	gi|491544788|ref|WP_005402405.1|	160	16	53.9	41	60.98	2e-09	40215
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_2:N:0:1	124	gi|126642008|ref|YP_001084992.1|	160	18	53.5	41	56.10	3e-09	400667
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_2:N:0:1	124	gi|489748161|ref|WP_003652170.1|	160	19	52.8	41	53.66	6e-09	471
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_2:N:0:1	124	gi|490777236|ref|WP_004639422.1|	160	17	37.7	41	58.54	0.002	29430
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_2:N:0:1	124	gi|491106449|ref|WP_004966274.1|	137	24	35.0	42	38.10	0.016	618
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_2:N:0:1	124	gi|496433470|ref|WP_009142317.1|	162	23	28.9	42	40.48	3.0	626938
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_2:N:0:1	89	gi|490405867|ref|WP_004279834.1|	1251	0	58.2	29	100.00	5e-10	28090
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_2:N:0:1	89	gi|491543590|ref|WP_005401208.1|	1251	8	43.9	29	72.41	4e-05	40214
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_2:N:0:1	89	gi|487913508|ref|WP_001986974.1|	853	9	42.7	29	68.97	1e-04	470
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_2:N:0:1	89	gi|489747407|ref|WP_003651417.1|	1255	9	42.4	29	68.97	1e-04	471
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_2:N:0:1	89	gi|384142982|ref|YP_005525692.1|	1250	9	42.4	29	68.97	1e-04	497978
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_2:N:0:1	89	gi|447017698|ref|WP_001094954.1|	1250	9	42.4	29	68.97	1e-04	470
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_2:N:0:1	89	gi|491545106|ref|WP_005402722.1|	1254	10	40.4	29	65.52	5e-04	40215
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_2:N:0:1	89	gi|490776655|ref|WP_004638842.1|	1286	10	40.4	29	65.52	6e-04	29430
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_2:N:0:1	89	gi|490363781|ref|WP_004243491.1|	1317	10	38.5	29	65.52	0.003	584
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_2:N:0:1	89	gi|491546490|ref|WP_005404105.1|	1256	11	38.1	29	62.07	0.003	40216
+ at M01520:37:000000000-A4TDP:1:1105:19380:27415_2:N:0:1	150	gi|490403959|ref|WP_004278372.1|	873	3	  103	49	93.88	2e-25	28090
+ at M01520:37:000000000-A4TDP:1:1105:19380:27415_2:N:0:1	150	gi|490775699|ref|WP_004637889.1|	874	5	  100	49	89.80	1e-24	29430
+ at M01520:37:000000000-A4TDP:1:1105:19380:27415_2:N:0:1	150	gi|489750939|ref|WP_003654948.1|	874	5	  100	49	89.80	2e-24	471
+ at M01520:37:000000000-A4TDP:1:1105:19380:27415_2:N:0:1	150	gi|169797225|ref|YP_001715018.1|	874	5	  100	49	89.80	2e-24	509173
+ at M01520:37:000000000-A4TDP:1:1105:19380:27415_2:N:0:1	150	gi|491158011|ref|WP_005016398.1|	873	6	99.0	49	87.76	5e-24	40216
+ at M01520:37:000000000-A4TDP:1:1105:19380:27415_2:N:0:1	150	gi|491546054|ref|WP_005403670.1|	874	6	97.8	49	87.76	1e-23	40215
+ at M01520:37:000000000-A4TDP:1:1105:19380:27415_2:N:0:1	150	gi|490835563|ref|WP_004697645.1|	873	7	97.1	49	85.71	2e-23	40214
+ at M01520:37:000000000-A4TDP:1:1105:19380:27415_2:N:0:1	150	gi|496410980|ref|WP_009119844.1|	878	14	80.1	49	71.43	2e-17	607712
+ at M01520:37:000000000-A4TDP:1:1105:19380:27415_2:N:0:1	150	gi|489890686|ref|WP_003794136.1|	877	14	80.1	49	71.43	2e-17	505
+ at M01520:37:000000000-A4TDP:1:1105:19380:27415_2:N:0:1	150	gi|489840189|ref|WP_003743894.1|	878	15	79.3	49	69.39	4e-17	488
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_2:N:0:1	134	gi|490321631|ref|WP_004211116.1|	507	5	73.6	41	87.80	2e-15	13690
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_2:N:0:1	134	gi|488799113|ref|WP_002711519.1|	534	18	34.7	51	43.14	0.069	1034
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_2:N:0:1	134	gi|492878956|ref|WP_006020307.1|	535	18	33.1	52	42.31	0.23	56946
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_2:N:0:1	134	gi|491351855|ref|WP_005209777.1|	307	5	32.3	17	70.59	0.34	36834
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_2:N:0:1	134	gi|494394685|ref|WP_007208937.1|	516	6	30.8	17	64.71	1.3	246144
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_2:N:0:1	134	gi|494060974|ref|WP_007003057.1|	504	6	30.4	17	64.71	1.9	204525
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_2:N:0:1	134	gi|488870951|ref|WP_002783176.1|	486	7	30.0	17	58.82	2.0	195
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_2:N:0:1	134	gi|488803692|ref|WP_002716098.1|	510	3	30.0	15	80.00	2.3	1035
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_2:N:0:1	134	gi|490402736|ref|WP_004277383.1|	485	8	29.6	17	52.94	3.0	28080
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_2:N:0:1	134	gi|493965143|ref|WP_006908555.1|	520	7	29.6	17	58.82	3.2	178214
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_2:N:0:1	114	gi|490408206|ref|WP_004281648.1|	935	0	74.3	37	100.00	2e-15	28090
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_2:N:0:1	114	gi|491543146|ref|WP_005400764.1|	937	5	67.4	37	86.49	3e-13	40214
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_2:N:0:1	114	gi|491157843|ref|WP_005016230.1|	934	6	62.8	36	83.33	1e-11	40216
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_2:N:0:1	114	gi|169797173|ref|YP_001714966.1|	935	7	55.8	34	79.41	4e-09	509173
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_2:N:0:1	114	gi|489750997|ref|WP_003655006.1|	935	9	50.1	34	73.53	3e-07	471
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_2:N:0:1	114	gi|490775753|ref|WP_004637943.1|	937	11	47.4	34	67.65	3e-06	29430
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_2:N:0:1	114	gi|491546103|ref|WP_005403719.1|	936	14	47.0	35	60.00	4e-06	40215
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_2:N:0:1	114	gi|494179909|ref|WP_007116231.1|	1101	15	41.2	35	57.14	4e-04	225324
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_2:N:0:1	114	gi|51874282|ref|YP_073800.1|	775	5	30.4	15	66.67	1.7	10372
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_2:N:0:1	114	gi|360040969|ref|YP_004940104.1|	887	5	29.6	15	66.67	2.8	50290
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_2:N:0:1	122	gi|490322339|ref|WP_004211824.1|	206	12	52.4	40	67.50	1e-08	13690
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_2:N:0:1	122	gi|491161522|ref|WP_005019909.1|	199	13	50.4	42	64.29	5e-08	40216
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_2:N:0:1	122	gi|490382600|ref|WP_004262112.1|	192	19	47.8	39	51.28	5e-07	587
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_2:N:0:1	122	gi|493735902|ref|WP_006685111.1|	195	18	47.0	39	53.85	8e-07	133448
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_2:N:0:1	122	gi|491060424|ref|WP_004922058.1|	196	19	47.0	39	51.28	9e-07	588
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_2:N:0:1	122	gi|15801173|ref|NP_287190.1|	191	18	46.6	39	53.85	1e-06	155864
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_2:N:0:1	122	gi|26247195|ref|NP_753235.1|	191	18	46.6	39	53.85	1e-06	199310
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_2:N:0:1	122	gi|169796183|ref|YP_001713976.1|	196	15	45.4	41	60.98	4e-06	509173
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_2:N:0:1	122	gi|184157888|ref|YP_001846227.1|	196	15	45.4	41	60.98	4e-06	405416
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_2:N:0:1	122	gi|490406059|ref|WP_004279967.1|	195	16	45.1	41	58.54	5e-06	469
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_2:N:0:1	91	gi|491541936|ref|WP_005399555.1|	734	0	65.5	30	100.00	1e-12	40214
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_2:N:0:1	91	gi|490406504|ref|WP_004280321.1|	733	0	65.1	30	100.00	2e-12	28090
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_2:N:0:1	91	gi|490777010|ref|WP_004639196.1|	734	0	64.7	30	100.00	2e-12	29430
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_2:N:0:1	91	gi|491545000|ref|WP_005402616.1|	731	0	64.7	30	100.00	2e-12	40215
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_2:N:0:1	91	gi|491916839|ref|WP_005670434.1|	733	2	62.8	30	93.33	9e-12	47229
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_2:N:0:1	91	gi|489748717|ref|WP_003652726.1|	732	2	62.8	30	93.33	1e-11	471
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_2:N:0:1	91	gi|491434583|ref|WP_005292376.1|	920	13	28.1	23	43.48	7.7	38289
+ at M01520:37:000000000-A4TDP:1:1108:28062:9160_2:N:0:1	116	gi|255357300|ref|YP_003090286.1|	1394	0	80.1	38	100.00	2e-17	645687
+ at M01520:37:000000000-A4TDP:1:1108:28062:9160_2:N:0:1	116	gi|255357301|ref|YP_003090287.1|	886	0	78.6	38	100.00	5e-17	645687
+ at M01520:37:000000000-A4TDP:1:1108:28062:9160_2:N:0:1	116	gi|410493717|ref|YP_006905858.1|	889	5	71.6	38	86.84	1e-14	683174
+ at M01520:37:000000000-A4TDP:1:1108:28062:9160_2:N:0:1	116	gi|262166847|ref|YP_003275951.1|	1395	12	62.0	38	68.42	3e-11	682382
+ at M01520:37:000000000-A4TDP:1:1108:28062:9160_2:N:0:1	116	gi|262166846|ref|YP_003275952.1|	874	12	60.8	38	68.42	8e-11	682382
+ at M01520:37:000000000-A4TDP:1:1108:28062:9160_2:N:0:1	116	gi|407868425|ref|YP_006792626.1|	887	12	60.5	38	68.42	9e-11	683173
+ at M01520:37:000000000-A4TDP:1:1108:28062:9160_2:N:0:1	116	gi|410493720|ref|YP_006905855.1|	886	10	60.1	38	73.68	1e-10	1247113
+ at M01520:37:000000000-A4TDP:1:1108:28062:9160_2:N:0:1	116	gi|422933789|ref|YP_007003830.1|	1353	14	60.1	38	63.16	2e-10	1254425
+ at M01520:37:000000000-A4TDP:1:1108:28062:9160_2:N:0:1	116	gi|422933788|ref|YP_007003831.1|	844	14	58.5	38	63.16	5e-10	1254425
+ at M01520:37:000000000-A4TDP:1:1108:28062:9160_2:N:0:1	116	gi|31580556|ref|NP_853539.1|	1381	19	47.0	41	46.34	5e-06	1239574
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_2:N:0:1	67	gi|490405184|ref|WP_004279291.1|	494	0	48.1	22	100.00	8e-07	28090
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_2:N:0:1	67	gi|491160566|ref|WP_005018953.1|	495	4	40.0	22	81.82	4e-04	40216
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_2:N:0:1	67	gi|491125897|ref|WP_004984334.1|	494	4	39.7	22	81.82	6e-04	469
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_2:N:0:1	67	gi|494104725|ref|WP_007045511.1|	505	11	29.3	22	50.00	2.1	214851
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_2:N:0:1	67	gi|495818640|ref|WP_008543219.1|	496	9	29.3	22	59.09	2.1	437898
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_2:N:0:1	67	gi|330839754|ref|YP_004414334.1|	498	10	29.3	22	54.55	2.1	546271
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_2:N:0:1	67	gi|489093100|ref|WP_003002987.1|	499	10	28.5	22	54.55	3.5	258
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_2:N:0:1	67	gi|489085841|ref|WP_002995749.1|	499	10	28.5	22	54.55	3.5	258
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_2:N:0:1	67	gi|490966171|ref|WP_004827973.1|	501	12	28.5	22	45.45	3.8	33032
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_2:N:0:1	67	gi|487913076|ref|WP_001986542.1|	512	10	27.7	22	54.55	7.2	470
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_2:N:0:1	120	gi|490320482|ref|WP_004209967.1|	269	5	69.7	40	87.50	7e-15	13690
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_2:N:0:1	120	gi|493253038|ref|WP_006220531.1|	258	10	48.5	36	69.44	6e-07	72556
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_2:N:0:1	120	gi|493428932|ref|WP_006384577.1|	220	10	45.8	36	69.44	4e-06	85698
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_2:N:0:1	120	gi|489806330|ref|WP_003710202.1|	261	7	40.4	25	72.00	4e-04	486
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_2:N:0:1	120	gi|491915361|ref|WP_005669027.1|	271	14	39.3	31	54.84	0.001	47229
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_2:N:0:1	120	gi|489875338|ref|WP_003778843.1|	144	12	37.4	33	57.58	0.002	496
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_2:N:0:1	120	gi|490984957|ref|WP_004846694.1|	256	18	37.7	38	52.63	0.004	569
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_2:N:0:1	120	gi|493867505|ref|WP_006814111.1|	256	8	37.4	25	68.00	0.004	158850
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_2:N:0:1	120	gi|489889751|ref|WP_003793201.1|	252	16	37.4	38	52.63	0.006	505
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+ at M01520:37:000000000-A4TDP:1:1108:6035:23599_2:N:0:1	56	gi|490818974|ref|WP_004681072.1|	238	0	43.5	18	100.00	1e-05	469
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+ at M01520:37:000000000-A4TDP:1:1108:6035:23599_2:N:0:1	56	gi|487913892|ref|WP_001987358.1|	178	0	42.7	18	100.00	1e-05	470
+ at M01520:37:000000000-A4TDP:1:1108:6035:23599_2:N:0:1	56	gi|490408642|ref|WP_004281978.1|	246	0	43.5	18	100.00	2e-05	28090
+ at M01520:37:000000000-A4TDP:1:1108:6035:23599_2:N:0:1	56	gi|491546296|ref|WP_005403911.1|	246	0	42.7	18	100.00	2e-05	40215
+ at M01520:37:000000000-A4TDP:1:1108:6035:23599_2:N:0:1	56	gi|490405526|ref|WP_004279554.1|	275	5	33.5	18	72.22	0.051	28090
+ at M01520:37:000000000-A4TDP:1:1108:6035:23599_2:N:0:1	56	gi|491546646|ref|WP_005404261.1|	144	5	30.4	17	70.59	0.32	40216
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_2:N:0:1	86	gi|491913012|ref|WP_005667568.1|	723	10	47.4	28	64.29	2e-06	47229
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_2:N:0:1	86	gi|490776300|ref|WP_004638488.1|	949	10	46.2	28	64.29	6e-06	29430
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_2:N:0:1	86	gi|491912439|ref|WP_005667088.1|	825	8	46.2	28	71.43	6e-06	47229
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_2:N:0:1	86	gi|490318004|ref|WP_004207500.1|	670	8	45.8	28	71.43	6e-06	13690
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_2:N:0:1	86	gi|489746580|ref|WP_003650595.1|	950	10	45.8	28	64.29	9e-06	471
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_2:N:0:1	86	gi|491918177|ref|WP_005671271.1|	888	10	45.4	28	64.29	1e-05	47229
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_2:N:0:1	86	gi|491544715|ref|WP_005402332.1|	950	10	45.4	28	64.29	1e-05	40215
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_2:N:0:1	86	gi|384143978|ref|YP_005526688.1|	949	10	45.4	28	64.29	1e-05	497978
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_2:N:0:1	86	gi|169795276|ref|YP_001713069.1|	949	10	45.4	28	64.29	1e-05	509173
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_2:N:0:1	86	gi|491908775|ref|WP_005665011.1|	705	8	45.1	28	71.43	1e-05	47229
+ at M01520:37:000000000-A4TDP:1:1109:9926:24164_2:N:0:1	92	gi|490407968|ref|WP_004281433.1|	485	0	64.3	30	100.00	2e-12	28090
+ at M01520:37:000000000-A4TDP:1:1109:9926:24164_2:N:0:1	92	gi|491160024|ref|WP_005018411.1|	485	2	60.5	30	93.33	4e-11	40216
+ at M01520:37:000000000-A4TDP:1:1109:9926:24164_2:N:0:1	92	gi|491543631|ref|WP_005401249.1|	485	3	59.3	30	90.00	1e-10	40214
+ at M01520:37:000000000-A4TDP:1:1109:9926:24164_2:N:0:1	92	gi|491097307|ref|WP_004958909.1|	483	3	58.9	30	90.00	2e-10	40215
+ at M01520:37:000000000-A4TDP:1:1109:9926:24164_2:N:0:1	92	gi|490775649|ref|WP_004637839.1|	483	3	58.5	30	90.00	2e-10	469
+ at M01520:37:000000000-A4TDP:1:1109:9926:24164_2:N:0:1	92	gi|494181689|ref|WP_007116970.1|	488	4	57.8	29	86.21	5e-10	225324
+ at M01520:37:000000000-A4TDP:1:1109:9926:24164_2:N:0:1	92	gi|489749586|ref|WP_003653595.1|	483	5	57.0	30	83.33	7e-10	471
+ at M01520:37:000000000-A4TDP:1:1109:9926:24164_2:N:0:1	92	gi|169794647|ref|YP_001712440.1|	483	5	57.0	30	83.33	8e-10	509173
+ at M01520:37:000000000-A4TDP:1:1109:9926:24164_2:N:0:1	92	gi|184159545|ref|YP_001847884.1|	483	5	57.0	30	83.33	8e-10	405416
+ at M01520:37:000000000-A4TDP:1:1109:9926:24164_2:N:0:1	92	gi|490318102|ref|WP_004207598.1|	454	14	38.5	29	51.72	0.002	13690
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_2:N:0:1	120	gi|169795583|ref|YP_001713376.1|	868	0	91.3	39	100.00	2e-21	509173
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_2:N:0:1	120	gi|184158608|ref|YP_001846947.1|	868	0	90.9	39	100.00	2e-21	405416
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_2:N:0:1	120	gi|490404614|ref|WP_004278837.1|	868	0	90.9	39	100.00	2e-21	28090
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_2:N:0:1	120	gi|491544774|ref|WP_005402391.1|	868	0	90.5	39	100.00	3e-21	40215
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_2:N:0:1	120	gi|489748364|ref|WP_003652373.1|	868	0	90.5	39	100.00	3e-21	471
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_2:N:0:1	120	gi|490777267|ref|WP_004639453.1|	868	0	90.5	39	100.00	4e-21	29430
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_2:N:0:1	120	gi|491543555|ref|WP_005401173.1|	869	0	90.5	39	100.00	4e-21	40214
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_2:N:0:1	120	gi|491161548|ref|WP_005019935.1|	868	0	90.1	39	100.00	5e-21	40216
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_2:N:0:1	120	gi|489918355|ref|WP_003821719.1|	889	11	68.9	39	71.79	1e-13	539
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_2:N:0:1	120	gi|496409991|ref|WP_009118855.1|	881	10	64.3	37	72.97	5e-12	607712
+ at M01520:37:000000000-A4TDP:1:1111:7905:9218_2:N:0:1	109	gi|494176752|ref|WP_007114893.1|	1048	10	58.2	36	72.22	6e-10	225324
+ at M01520:37:000000000-A4TDP:1:1111:7905:9218_2:N:0:1	109	gi|493862892|ref|WP_006809642.1|	1038	12	53.9	36	66.67	2e-08	158836
+ at M01520:37:000000000-A4TDP:1:1111:7905:9218_2:N:0:1	109	gi|490323511|ref|WP_004212996.1|	1060	11	53.9	36	69.44	2e-08	13690
+ at M01520:37:000000000-A4TDP:1:1111:7905:9218_2:N:0:1	109	gi|446483814|ref|WP_000561668.1|	1048	5	53.9	28	82.14	2e-08	470
+ at M01520:37:000000000-A4TDP:1:1111:7905:9218_2:N:0:1	109	gi|490775367|ref|WP_004637562.1|	1048	5	53.9	28	82.14	2e-08	469
+ at M01520:37:000000000-A4TDP:1:1111:7905:9218_2:N:0:1	109	gi|490198118|ref|WP_004096640.1|	1046	12	53.1	36	66.67	3e-08	569
+ at M01520:37:000000000-A4TDP:1:1111:7905:9218_2:N:0:1	109	gi|491546153|ref|WP_005403768.1|	1048	7	53.1	28	75.00	4e-08	40215
+ at M01520:37:000000000-A4TDP:1:1111:7905:9218_2:N:0:1	109	gi|493895460|ref|WP_006841369.1|	60	15	48.9	36	58.33	5e-08	161889
+ at M01520:37:000000000-A4TDP:1:1111:7905:9218_2:N:0:1	109	gi|493871133|ref|WP_006817648.1|	1055	15	50.8	36	58.33	2e-07	158877
+ at M01520:37:000000000-A4TDP:1:1111:7905:9218_2:N:0:1	109	gi|491044000|ref|WP_004905662.1|	1045	15	50.4	36	58.33	2e-07	587
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_2:N:0:1	145	gi|490403931|ref|WP_004278350.1|	382	0	59.7	48	100.00	1e-10	28090
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_2:N:0:1	145	gi|491158107|ref|WP_005016494.1|	382	9	47.0	48	81.25	4e-06	40216
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_2:N:0:1	145	gi|491544085|ref|WP_005401703.1|	381	12	46.6	48	75.00	6e-06	40214
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_2:N:0:1	145	gi|491047326|ref|WP_004908980.1|	380	11	46.2	48	77.08	8e-06	40215
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_2:N:0:1	145	gi|169797240|ref|YP_001715033.1|	381	10	45.1	48	79.17	2e-05	509173
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_2:N:0:1	145	gi|490778625|ref|WP_004640811.1|	380	11	43.9	48	77.08	5e-05	469
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_2:N:0:1	145	gi|489750874|ref|WP_003654883.1|	381	11	42.7	48	77.08	1e-04	471
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_2:N:0:1	86	gi|490407804|ref|WP_004281274.1|	197	1	54.7	28	96.43	9e-10	28090
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_2:N:0:1	86	gi|446944461|ref|WP_001021717.1|	193	11	37.0	28	60.71	0.003	470
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_2:N:0:1	86	gi|446944467|ref|WP_001021723.1|	193	11	37.0	28	60.71	0.003	470
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_2:N:0:1	86	gi|169794325|ref|YP_001712118.1|	193	11	37.0	28	60.71	0.003	509173
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_2:N:0:1	86	gi|491159389|ref|WP_005017776.1|	195	12	33.1	28	57.14	0.068	40216
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_2:N:0:1	86	gi|489750131|ref|WP_003654140.1|	193	12	33.1	28	57.14	0.069	471
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_2:N:0:1	86	gi|491545812|ref|WP_005403428.1|	195	9	31.2	22	59.09	0.38	40215
+ at M01520:37:000000000-A4TDP:1:1111:24327:16462_2:N:0:1	99	gi|490405800|ref|WP_004279779.1|	758	0	66.6	33	100.00	5e-13	28090
+ at M01520:37:000000000-A4TDP:1:1111:24327:16462_2:N:0:1	99	gi|491543460|ref|WP_005401078.1|	758	7	55.8	33	78.79	3e-09	40214
+ at M01520:37:000000000-A4TDP:1:1111:24327:16462_2:N:0:1	99	gi|491156247|ref|WP_005014634.1|	758	11	32.3	33	66.67	0.33	40216
+ at M01520:37:000000000-A4TDP:1:1111:24327:16462_2:N:0:1	99	gi|491100473|ref|WP_004962073.1|	761	13	28.9	33	60.61	4.2	40215
+ at M01520:37:000000000-A4TDP:1:1111:24327:16462_2:N:0:1	99	gi|490777050|ref|WP_004639236.1|	761	13	28.5	33	60.61	6.0	469
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_2:N:0:1	110	gi|491166461|ref|WP_005024831.1|	401	4	66.2	36	88.89	5e-13	40216
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_2:N:0:1	110	gi|491157676|ref|WP_005016063.1|	401	4	65.9	36	88.89	6e-13	40216
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_2:N:0:1	110	gi|169794806|ref|YP_001712599.1|	422	5	65.5	36	86.11	1e-12	509173
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_2:N:0:1	110	gi|489751234|ref|WP_003655241.1|	401	5	65.1	36	86.11	1e-12	471
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_2:N:0:1	110	gi|184159420|ref|YP_001847759.1|	401	5	64.7	36	86.11	1e-12	405416
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_2:N:0:1	110	gi|490408275|ref|WP_004281703.1|	401	5	63.2	36	86.11	6e-12	28090
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_2:N:0:1	110	gi|490778510|ref|WP_004640696.1|	380	6	61.6	36	83.33	2e-11	29430
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_2:N:0:1	110	gi|491542622|ref|WP_005400241.1|	401	7	61.2	36	80.56	3e-11	40214
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_2:N:0:1	110	gi|491047177|ref|WP_004908831.1|	401	6	60.8	36	83.33	3e-11	469
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_2:N:0:1	110	gi|491439394|ref|WP_005297187.1|	409	7	60.5	36	80.56	5e-11	38289
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_2:N:0:1	110	gi|169797119|ref|YP_001714912.1|	361	8	56.2	36	75.00	1e-09	509173
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_2:N:0:1	110	gi|213156474|ref|YP_002318135.1|	361	9	53.9	36	72.22	9e-09	480119
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_2:N:0:1	110	gi|490405012|ref|WP_004279153.1|	362	6	53.9	34	79.41	1e-08	28090
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_2:N:0:1	110	gi|491542591|ref|WP_005400210.1|	363	6	53.9	34	79.41	1e-08	40214
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_2:N:0:1	110	gi|489751842|ref|WP_003655846.1|	361	9	53.5	36	72.22	1e-08	471
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_2:N:0:1	110	gi|490775814|ref|WP_004638003.1|	361	8	53.5	35	74.29	1e-08	29430
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_2:N:0:1	110	gi|491545586|ref|WP_005403202.1|	361	9	53.5	36	72.22	1e-08	40215
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_2:N:0:1	110	gi|491160180|ref|WP_005018567.1|	362	9	53.1	36	72.22	2e-08	40216
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_2:N:0:1	110	gi|490746779|ref|WP_004609087.1|	353	11	49.7	35	65.71	2e-07	29348
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_2:N:0:1	110	gi|492746944|ref|WP_005947101.1|	352	10	48.9	35	68.57	5e-07	53443
+ at M01520:37:000000000-A4TDP:1:1113:18960:5589_2:N:0:1	114	gi|498366279|ref|WP_010680435.1|	228	15	37.7	38	60.53	0.003	849
+ at M01520:37:000000000-A4TDP:1:1113:18960:5589_2:N:0:1	114	gi|493860417|ref|WP_006807200.1|	229	13	36.2	38	65.79	0.010	157692
+ at M01520:37:000000000-A4TDP:1:1113:18960:5589_2:N:0:1	114	gi|494043467|ref|WP_006985586.1|	228	17	34.7	38	55.26	0.033	194702
+ at M01520:37:000000000-A4TDP:1:1113:18960:5589_2:N:0:1	114	gi|497210554|ref|WP_009524816.1|	228	15	33.9	38	60.53	0.079	207769
+ at M01520:37:000000000-A4TDP:1:1113:18960:5589_2:N:0:1	114	gi|490322879|ref|WP_004212364.1|	228	13	33.5	38	65.79	0.10	13690
+ at M01520:37:000000000-A4TDP:1:1113:18960:5589_2:N:0:1	114	gi|497212558|ref|WP_009526820.1|	228	16	33.1	38	57.89	0.13	796939
+ at M01520:37:000000000-A4TDP:1:1113:18960:5589_2:N:0:1	114	gi|490241348|ref|WP_004139600.1|	228	16	32.7	38	57.89	0.16	2718
+ at M01520:37:000000000-A4TDP:1:1113:18960:5589_2:N:0:1	114	gi|489866235|ref|WP_003769820.1|	232	16	32.7	38	57.89	0.19	1642
+ at M01520:37:000000000-A4TDP:1:1113:18960:5589_2:N:0:1	114	gi|489850778|ref|WP_003754457.1|	230	16	31.6	38	57.89	0.42	1641
+ at M01520:37:000000000-A4TDP:1:1113:18960:5589_2:N:0:1	114	gi|496131605|ref|WP_008856112.1|	229	18	30.8	38	52.63	0.70	481722
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_2:N:0:1	143	gi|490404958|ref|WP_004279114.1|	427	6	90.5	47	87.23	1e-21	28090
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_2:N:0:1	143	gi|491542104|ref|WP_005399723.1|	427	13	77.8	47	72.34	5e-17	40214
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_2:N:0:1	143	gi|446781132|ref|WP_000858388.1|	426	12	68.6	45	71.11	1e-13	470
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_2:N:0:1	143	gi|169632714|ref|YP_001706450.1|	426	12	68.6	45	71.11	1e-13	509170
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_2:N:0:1	143	gi|491546795|ref|WP_005404410.1|	427	16	68.2	46	65.22	2e-13	40216
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_2:N:0:1	143	gi|489746211|ref|WP_003650229.1|	426	14	65.1	45	66.67	2e-12	471
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_2:N:0:1	143	gi|490779628|ref|WP_004641814.1|	427	16	64.3	45	64.44	3e-12	29430
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_2:N:0:1	143	gi|491545388|ref|WP_005403004.1|	427	17	62.8	45	62.22	1e-11	40215
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_2:N:0:1	143	gi|490377183|ref|WP_004256782.1|	430	16	37.7	33	51.52	0.007	587
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_2:N:0:1	143	gi|493866100|ref|WP_006812759.1|	430	17	36.2	33	48.48	0.019	158850
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_2:N:0:1	105	gi|490405933|ref|WP_004279888.1|	384	0	68.6	34	100.00	5e-14	28090
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_2:N:0:1	105	gi|169795679|ref|YP_001713472.1|	369	4	63.2	34	88.24	4e-12	509173
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_2:N:0:1	105	gi|490776796|ref|WP_004638983.1|	369	4	63.2	34	88.24	4e-12	469
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_2:N:0:1	105	gi|491092953|ref|WP_004954561.1|	369	4	63.2	34	88.24	5e-12	40215
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_2:N:0:1	105	gi|489748179|ref|WP_003652188.1|	369	4	62.8	34	88.24	5e-12	471
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_2:N:0:1	105	gi|491543405|ref|WP_005401023.1|	369	4	62.4	34	88.24	7e-12	40214
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_2:N:0:1	105	gi|491156236|ref|WP_005014623.1|	369	6	60.8	34	82.35	3e-11	40216
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_2:N:0:1	105	gi|491914471|ref|WP_005668494.1|	367	16	28.5	32	50.00	6.0	47229
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_2:N:0:1	109	gi|490407808|ref|WP_004281278.1|	357	1	71.6	36	97.22	4e-15	28090
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_2:N:0:1	109	gi|491543865|ref|WP_005401483.1|	357	3	68.6	36	91.67	4e-14	40214
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_2:N:0:1	109	gi|491545807|ref|WP_005403423.1|	356	5	63.5	36	86.11	3e-12	40215
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_2:N:0:1	109	gi|494179420|ref|WP_007116006.1|	379	7	62.8	36	80.56	6e-12	225324
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_2:N:0:1	109	gi|490779423|ref|WP_004641609.1|	356	6	61.6	36	83.33	1e-11	29430
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_2:N:0:1	109	gi|493254110|ref|WP_006221283.1|	375	10	55.1	36	72.22	3e-09	72556
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_2:N:0:1	109	gi|493430521|ref|WP_006386131.1|	375	10	55.1	36	72.22	4e-09	85698
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+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_2:N:0:1	109	gi|491912418|ref|WP_005667079.1|	369	16	47.8	36	55.56	2e-06	47229
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_2:N:0:1	85	gi|490319882|ref|WP_004209367.1|	444	0	59.7	28	100.00	7e-11	13690
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_2:N:0:1	85	gi|494060560|ref|WP_007002643.1|	434	9	40.4	28	67.86	4e-04	204525
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_2:N:0:1	85	gi|496137309|ref|WP_008861816.1|	702	12	38.1	28	57.14	0.003	487174
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_2:N:0:1	85	gi|492885320|ref|WP_006022262.1|	465	11	36.6	28	60.71	0.009	56946
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_2:N:0:1	85	gi|493299013|ref|WP_006256635.1|	714	12	36.6	27	55.56	0.009	76122
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_2:N:0:1	85	gi|488801052|ref|WP_002713458.1|	470	11	35.8	28	60.71	0.017	1034
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_2:N:0:1	85	gi|493433175|ref|WP_006388739.1|	440	12	35.8	27	55.56	0.018	85698
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_2:N:0:1	85	gi|488804718|ref|WP_002717124.1|	447	11	35.4	28	60.71	0.019	1035
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_2:N:0:1	85	gi|490459601|ref|WP_004330240.1|	712	12	35.4	28	57.14	0.022	28117
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_2:N:0:1	85	gi|491918129|ref|WP_005671246.1|	423	12	34.7	27	55.56	0.038	47229
+ at M01520:37:000000000-A4TDP:1:2102:14979:14560_2:N:0:1	95	gi|490405325|ref|WP_004279399.1|	205	0	45.8	21	100.00	2e-06	28090
+ at M01520:37:000000000-A4TDP:1:2102:14979:14560_2:N:0:1	95	gi|491160664|ref|WP_005019051.1|	206	3	38.1	20	85.00	0.001	40216
+ at M01520:37:000000000-A4TDP:1:2102:14979:14560_2:N:0:1	95	gi|491542264|ref|WP_005399883.1|	205	5	38.1	21	76.19	0.002	469
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+ at M01520:37:000000000-A4TDP:1:2102:14979:14560_2:N:0:1	95	gi|184157260|ref|YP_001845599.1|	205	8	33.9	21	61.90	0.045	405416
+ at M01520:37:000000000-A4TDP:1:2102:14979:14560_2:N:0:1	95	gi|489749067|ref|WP_003653076.1|	205	9	33.5	21	57.14	0.075	471
+ at M01520:37:000000000-A4TDP:1:2102:14979:14560_2:N:0:1	95	gi|491101749|ref|WP_004963349.1|	205	9	32.3	21	57.14	0.16	40215
+ at M01520:37:000000000-A4TDP:1:2102:14979:14560_2:N:0:1	95	gi|169796824|ref|YP_001714617.1|	205	9	31.6	21	57.14	0.32	509173
+ at M01520:37:000000000-A4TDP:1:2102:14979:14560_2:N:0:1	95	gi|492454958|ref|WP_005850095.1|	675	9	28.9	18	50.00	4.0	816
+ at M01520:37:000000000-A4TDP:1:2102:14979:14560_2:N:0:1	95	gi|495129919|ref|WP_007854730.1|	675	9	28.9	18	50.00	4.7	357276
+ at M01520:37:000000000-A4TDP:1:2102:12182:18402_2:N:0:1	134	gi|490407463|ref|WP_004281005.1|	225	0	92.8	44	100.00	2e-23	28090
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+ at M01520:37:000000000-A4TDP:1:2102:12182:18402_2:N:0:1	134	gi|494179959|ref|WP_007116247.1|	342	1	90.9	44	97.73	3e-22	225324
+ at M01520:37:000000000-A4TDP:1:2102:12182:18402_2:N:0:1	134	gi|487912824|ref|WP_001986290.1|	324	1	90.9	44	97.73	3e-22	469
+ at M01520:37:000000000-A4TDP:1:2102:12182:18402_2:N:0:1	134	gi|446250938|ref|WP_000328793.1|	357	1	90.9	44	97.73	3e-22	470
+ at M01520:37:000000000-A4TDP:1:2102:12182:18402_2:N:0:1	134	gi|490405705|ref|WP_004279703.1|	242	2	90.1	44	95.45	4e-22	28090
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_2:N:0:1	132	gi|490321947|ref|WP_004211432.1|	791	6	82.0	44	86.36	4e-18	13690
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_2:N:0:1	132	gi|490321948|ref|WP_004211433.1|	792	15	59.7	44	65.91	2e-10	13690
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_2:N:0:1	132	gi|496420754|ref|WP_009129601.1|	862	23	47.0	45	44.44	5e-06	626931
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_2:N:0:1	132	gi|494934653|ref|WP_007660684.1|	862	23	47.0	45	44.44	6e-06	329854
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_2:N:0:1	132	gi|492238076|ref|WP_005784989.1|	722	26	45.8	44	40.91	1e-05	816
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_2:N:0:1	132	gi|492273288|ref|WP_005796124.1|	722	26	45.8	44	40.91	1e-05	817
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_2:N:0:1	132	gi|492295970|ref|WP_005801352.1|	722	26	45.8	44	40.91	1e-05	817
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_2:N:0:1	132	gi|492371314|ref|WP_005823808.1|	865	23	45.4	45	44.44	2e-05	820
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_2:N:0:1	132	gi|492409607|ref|WP_005835314.1|	864	23	45.4	45	44.44	2e-05	820
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_2:N:0:1	132	gi|490418874|ref|WP_004291193.1|	862	23	44.3	45	44.44	4e-05	28111
+ at M01520:37:000000000-A4TDP:1:2103:8133:16000_2:N:0:1	150	gi|490404124|ref|WP_004278466.1|	662	3	75.5	41	92.68	7e-16	28090
+ at M01520:37:000000000-A4TDP:1:2103:8133:16000_2:N:0:1	150	gi|491543229|ref|WP_005400847.1|	662	4	72.8	41	90.24	7e-15	40214
+ at M01520:37:000000000-A4TDP:1:2103:8133:16000_2:N:0:1	150	gi|184156771|ref|YP_001845110.1|	659	7	66.6	41	82.93	9e-13	405416
+ at M01520:37:000000000-A4TDP:1:2103:8133:16000_2:N:0:1	150	gi|169797307|ref|YP_001715100.1|	659	7	66.6	41	82.93	9e-13	509173
+ at M01520:37:000000000-A4TDP:1:2103:8133:16000_2:N:0:1	150	gi|489750748|ref|WP_003654757.1|	687	7	66.6	41	82.93	1e-12	471
+ at M01520:37:000000000-A4TDP:1:2103:8133:16000_2:N:0:1	150	gi|490775622|ref|WP_004637812.1|	659	9	62.8	41	78.05	2e-11	469
+ at M01520:37:000000000-A4TDP:1:2103:8133:16000_2:N:0:1	150	gi|491158278|ref|WP_005016665.1|	659	10	61.6	41	75.61	5e-11	40216
+ at M01520:37:000000000-A4TDP:1:2103:8133:16000_2:N:0:1	150	gi|491546017|ref|WP_005403633.1|	659	10	61.6	41	75.61	5e-11	40215
+ at M01520:37:000000000-A4TDP:1:2103:8133:16000_2:N:0:1	150	gi|496409485|ref|WP_009118349.1|	695	20	47.8	42	52.38	3e-06	607712
+ at M01520:37:000000000-A4TDP:1:2103:8133:16000_2:N:0:1	150	gi|494041942|ref|WP_006984064.1|	665	18	40.4	38	52.63	0.001	194702
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_2:N:0:1	138	gi|490403819|ref|WP_004278258.1|	920	0	  100	45	100.00	2e-24	28090
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_2:N:0:1	138	gi|491543118|ref|WP_005400736.1|	921	4	94.4	45	91.11	2e-22	40214
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_2:N:0:1	138	gi|491157759|ref|WP_005016146.1|	919	7	88.6	45	84.44	2e-20	40216
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_2:N:0:1	138	gi|489751057|ref|WP_003655066.1|	923	7	88.6	45	84.44	2e-20	471
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_2:N:0:1	138	gi|184156936|ref|YP_001845275.1|	923	8	87.0	45	82.22	7e-20	405416
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_2:N:0:1	138	gi|169797137|ref|YP_001714930.1|	923	8	87.0	45	82.22	7e-20	509173
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_2:N:0:1	138	gi|490775793|ref|WP_004637982.1|	921	8	85.5	45	82.22	3e-19	29430
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_2:N:0:1	138	gi|491546130|ref|WP_005403745.1|	921	8	85.1	45	82.22	3e-19	40215
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_2:N:0:1	138	gi|494179686|ref|WP_007116129.1|	948	14	67.0	49	63.27	8e-13	225324
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_2:N:0:1	138	gi|490367201|ref|WP_004246865.1|	949	17	63.9	45	62.22	9e-12	584
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_2:N:0:1	97	gi|490404619|ref|WP_004278841.1|	275	0	63.9	32	100.00	9e-13	28090
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_2:N:0:1	97	gi|491543552|ref|WP_005401170.1|	291	8	53.5	32	75.00	8e-09	469
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_2:N:0:1	97	gi|489748369|ref|WP_003652378.1|	275	9	52.0	32	71.88	2e-08	471
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_2:N:0:1	97	gi|447012201|ref|WP_001089457.1|	275	10	51.2	32	68.75	4e-08	470
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_2:N:0:1	97	gi|184158611|ref|YP_001846950.1|	275	10	51.2	32	68.75	5e-08	405416
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_2:N:0:1	97	gi|491544770|ref|WP_005402387.1|	271	8	50.8	31	74.19	7e-08	40215
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_2:N:0:1	97	gi|491161544|ref|WP_005019931.1|	276	8	47.8	32	75.00	8e-07	40216
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_2:N:0:1	97	gi|490777273|ref|WP_004639459.1|	271	9	46.6	32	71.88	2e-06	29430
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_2:N:0:1	97	gi|397669637|ref|YP_006511172.1|	313	13	37.0	32	59.38	0.006	767029
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_2:N:0:1	97	gi|491425121|ref|WP_005282916.1|	274	14	36.6	30	53.33	0.007	38284
+ at M01520:37:000000000-A4TDP:1:2104:14010:14660_2:N:0:1	111	gi|490409052|ref|WP_004282308.1|	426	0	79.7	36	100.00	6e-18	28090
+ at M01520:37:000000000-A4TDP:1:2104:14010:14660_2:N:0:1	111	gi|491544084|ref|WP_005401702.1|	426	4	70.9	36	88.89	1e-14	40214
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_2:N:0:1	139	gi|490407634|ref|WP_004281139.1|	841	0	  101	46	100.00	5e-25	28090
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_2:N:0:1	139	gi|491165832|ref|WP_005024203.1|	848	2	97.8	46	95.65	1e-23	40216
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_2:N:0:1	139	gi|491543738|ref|WP_005401356.1|	842	3	97.8	46	93.48	1e-23	469
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_2:N:0:1	139	gi|446659317|ref|WP_000736663.1|	851	3	97.4	46	93.48	2e-23	470
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_2:N:0:1	139	gi|384144826|ref|YP_005527536.1|	851	3	97.4	46	93.48	2e-23	497978
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_2:N:0:1	139	gi|491545714|ref|WP_005403330.1|	844	3	96.7	46	93.48	3e-23	40215
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_2:N:0:1	139	gi|489749807|ref|WP_003653816.1|	849	4	96.3	46	91.30	4e-23	471
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_2:N:0:1	139	gi|491547638|ref|WP_005405253.1|	848	3	96.3	46	93.48	4e-23	40216
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_2:N:0:1	139	gi|490779143|ref|WP_004641329.1|	863	3	95.5	46	93.48	7e-23	469
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_2:N:0:1	139	gi|494180297|ref|WP_007116391.1|	909	12	73.9	46	73.91	3e-15	225324
+ at M01520:37:000000000-A4TDP:1:2106:23991:18196_2:N:0:1	93	gi|490319400|ref|WP_004208893.1|	290	3	59.7	30	90.00	3e-11	13690
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_2:N:0:1	133	gi|490404201|ref|WP_004278514.1|	321	1	95.9	44	97.73	4e-24	28090
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_2:N:0:1	133	gi|491158403|ref|WP_005016790.1|	319	8	87.0	44	81.82	6e-21	40216
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_2:N:0:1	133	gi|493736599|ref|WP_006685801.1|	314	20	47.4	42	50.00	2e-06	133448
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_2:N:0:1	133	gi|157157662|ref|YP_001461524.1|	314	20	47.0	42	50.00	3e-06	331111
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_2:N:0:1	133	gi|312140852|ref|YP_004008188.1|	310	21	38.5	35	40.00	0.003	685727
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_2:N:0:1	133	gi|489944983|ref|WP_003848290.1|	312	27	37.0	44	38.64	0.009	1697
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_2:N:0:1	133	gi|491655480|ref|WP_005512200.1|	313	29	35.8	44	34.09	0.021	43767
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_2:N:0:1	133	gi|493428549|ref|WP_006384206.1|	321	11	35.4	27	59.26	0.028	85698
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_2:N:0:1	133	gi|489884608|ref|WP_003788058.1|	153	26	30.0	40	30.00	1.2	504
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_2:N:0:1	133	gi|496406493|ref|WP_009115357.1|	297	13	29.6	27	51.85	2.6	607711
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_2:N:0:1	95	gi|490408952|ref|WP_004282226.1|	317	0	64.3	31	100.00	1e-12	28090
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_2:N:0:1	95	gi|490408960|ref|WP_004282234.1|	317	0	64.3	31	100.00	1e-12	28090
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_2:N:0:1	95	gi|490408998|ref|WP_004282272.1|	317	1	62.8	31	96.77	4e-12	28090
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_2:N:0:1	95	gi|490408989|ref|WP_004282263.1|	317	1	62.8	31	96.77	4e-12	28090
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_2:N:0:1	95	gi|490779643|ref|WP_004641829.1|	323	4	58.2	31	87.10	2e-10	29430
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_2:N:0:1	95	gi|490408975|ref|WP_004282249.1|	349	4	58.2	31	87.10	2e-10	28090
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_2:N:0:1	95	gi|491544380|ref|WP_005401997.1|	376	4	57.8	31	87.10	3e-10	40214
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_2:N:0:1	95	gi|490408985|ref|WP_004282259.1|	368	4	57.8	31	87.10	3e-10	28090
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_2:N:0:1	95	gi|491546407|ref|WP_005404022.1|	117	13	36.2	30	56.67	0.002	40215
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_2:N:0:1	95	gi|490779704|ref|WP_004641890.1|	555	12	36.6	30	60.00	0.010	29430
+ at M01520:37:000000000-A4TDP:1:2109:20184:3970_2:N:0:1	121	gi|490319328|ref|WP_004208821.1|	171	8	70.1	40	80.00	3e-15	13690
+ at M01520:37:000000000-A4TDP:1:2109:20184:3970_2:N:0:1	121	gi|490317916|ref|WP_004207412.1|	170	18	44.7	36	50.00	6e-06	13690
+ at M01520:37:000000000-A4TDP:1:2109:20184:3970_2:N:0:1	121	gi|493430610|ref|WP_006386219.1|	162	23	30.0	37	37.84	1.1	85698
+ at M01520:37:000000000-A4TDP:1:2109:20184:3970_2:N:0:1	121	gi|209972970|ref|YP_002300417.1|	925	13	30.4	25	48.00	1.5	10685
+ at M01520:37:000000000-A4TDP:1:2109:20184:3970_2:N:0:1	121	gi|493429116|ref|WP_006384754.1|	180	27	29.6	37	27.03	1.6	85698
+ at M01520:37:000000000-A4TDP:1:2109:20184:3970_2:N:0:1	121	gi|491665347|ref|WP_005522062.1|	354	14	29.3	27	48.15	3.1	43768
+ at M01520:37:000000000-A4TDP:1:2109:20184:3970_2:N:0:1	121	gi|490321196|ref|WP_004210681.1|	169	25	28.9	40	37.50	3.5	13690
+ at M01520:37:000000000-A4TDP:1:2109:20184:3970_2:N:0:1	121	gi|209916843|ref|YP_002291163.1|	401	11	29.3	23	52.17	3.7	409438
+ at M01520:37:000000000-A4TDP:1:2109:20184:3970_2:N:0:1	121	gi|491669072|ref|WP_005525214.1|	354	15	28.1	27	44.44	8.0	43768
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_2:N:0:1	115	gi|490404533|ref|WP_004278771.1|	378	0	75.1	38	100.00	3e-16	28090
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_2:N:0:1	115	gi|169795529|ref|YP_001713322.1|	378	3	70.1	38	92.11	2e-14	509173
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_2:N:0:1	115	gi|446525128|ref|WP_000602474.1|	378	3	70.1	38	92.11	2e-14	470
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_2:N:0:1	115	gi|491156402|ref|WP_005014789.1|	378	4	69.7	38	89.47	2e-14	40216
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_2:N:0:1	115	gi|491543084|ref|WP_005400702.1|	378	5	68.2	38	86.84	9e-14	40214
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_2:N:0:1	115	gi|489748440|ref|WP_003652449.1|	378	5	67.4	38	86.84	2e-13	471
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_2:N:0:1	115	gi|491906960|ref|WP_005664326.1|	379	8	62.8	38	78.95	8e-12	47229
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_2:N:0:1	115	gi|491155881|ref|WP_005014268.1|	375	9	57.4	38	76.32	5e-10	40216
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_2:N:0:1	115	gi|490775243|ref|WP_004637440.1|	375	10	55.5	38	73.68	3e-09	29430
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_2:N:0:1	115	gi|447083511|ref|WP_001160767.1|	375	10	55.1	38	73.68	4e-09	470
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_2:N:0:1	104	gi|490783215|ref|WP_004645384.1|	248	0	74.7	34	100.00	7e-17	469
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_2:N:0:1	104	gi|490409147|ref|WP_004282335.1|	240	0	73.9	34	100.00	1e-16	28090
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_2:N:0:1	104	gi|491050429|ref|WP_004912080.1|	248	3	72.0	34	91.18	9e-16	469
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_2:N:0:1	104	gi|491472859|ref|WP_005330612.1|	199	7	59.7	33	78.79	2e-11	469
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_2:N:0:1	104	gi|489881840|ref|WP_003785293.1|	134	9	57.4	34	73.53	9e-11	504
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_2:N:0:1	104	gi|490409189|ref|WP_004282350.1|	163	10	53.9	34	70.59	1e-09	28090
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_2:N:0:1	104	gi|488717846|ref|WP_002641722.1|	251	16	46.2	34	52.94	2e-06	72
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_2:N:0:1	104	gi|488717280|ref|WP_002641156.1|	251	16	46.2	34	52.94	2e-06	72
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_2:N:0:1	104	gi|488717975|ref|WP_002641851.1|	162	16	44.7	34	52.94	4e-06	72
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_2:N:0:1	104	gi|488718810|ref|WP_002642686.1|	251	17	43.5	34	50.00	2e-05	72
+ at M01520:37:000000000-A4TDP:1:2109:20036:24544_2:N:0:1	87	gi|490408000|ref|WP_004281465.1|	104	0	37.0	16	100.00	0.001	28090
+ at M01520:37:000000000-A4TDP:1:2109:20036:24544_2:N:0:1	87	gi|153945788|ref|NP_766609.2|	1182	5	28.5	19	63.16	5.3	10090
+ at M01520:37:000000000-A4TDP:1:2109:20036:24544_2:N:0:1	87	gi|153945840|ref|NP_032858.2|	1241	5	28.5	19	63.16	5.3	10090
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_2:N:0:1	125	gi|490407900|ref|WP_004281365.1|	370	1	83.6	41	97.56	2e-19	28090
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_2:N:0:1	125	gi|491543913|ref|WP_005401531.1|	368	3	80.9	41	92.68	2e-18	40214
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_2:N:0:1	125	gi|490779315|ref|WP_004641501.1|	368	6	74.7	41	85.37	3e-16	29430
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_2:N:0:1	125	gi|491159492|ref|WP_005017879.1|	369	6	72.8	40	85.00	2e-15	40216
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_2:N:0:1	125	gi|489750033|ref|WP_003654042.1|	375	7	72.4	41	82.93	2e-15	471
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_2:N:0:1	125	gi|384144939|ref|YP_005527649.1|	370	7	72.0	41	82.93	4e-15	497978
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_2:N:0:1	125	gi|169794377|ref|YP_001712170.1|	377	7	72.0	41	82.93	4e-15	509173
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_2:N:0:1	125	gi|490738668|ref|WP_004600976.1|	365	16	53.9	41	60.98	1e-08	29321
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_2:N:0:1	125	gi|490040462|ref|WP_003942868.1|	378	16	51.6	41	60.98	8e-08	1833
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_2:N:0:1	125	gi|326781947|ref|YP_004322349.1|	267	27	28.1	39	30.77	8.1	444860
+ at M01520:37:000000000-A4TDP:1:2112:6112:16060_2:N:0:1	84	gi|490405656|ref|WP_004279663.1|	291	0	41.2	19	100.00	2e-04	28090
+ at M01520:37:000000000-A4TDP:1:2112:6112:16060_2:N:0:1	84	gi|493742378|ref|WP_006691459.1|	56	15	26.6	26	42.31	4.1	135082
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_2:N:0:1	143	gi|490317815|ref|WP_004207311.1|	189	3	96.3	47	93.62	9e-25	13690
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_2:N:0:1	143	gi|493254879|ref|WP_006221667.1|	176	18	68.2	47	61.70	2e-14	72556
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_2:N:0:1	143	gi|488804628|ref|WP_002717034.1|	201	17	63.9	47	63.83	9e-13	1035
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_2:N:0:1	143	gi|492884469|ref|WP_006021995.1|	204	19	63.5	47	59.57	1e-12	56946
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_2:N:0:1	143	gi|494061673|ref|WP_007003753.1|	190	19	63.2	47	59.57	1e-12	204525
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_2:N:0:1	143	gi|488800794|ref|WP_002713200.1|	205	19	63.2	47	59.57	2e-12	1034
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_2:N:0:1	143	gi|491905575|ref|WP_005663340.1|	194	21	61.2	47	55.32	6e-12	47229
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_2:N:0:1	143	gi|495818852|ref|WP_008543431.1|	391	23	61.6	47	51.06	3e-11	437898
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_2:N:0:1	143	gi|492549294|ref|WP_005882473.1|	195	23	59.3	47	51.06	4e-11	847
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_2:N:0:1	143	gi|496085814|ref|WP_008810321.1|	201	23	58.2	47	51.06	1e-10	80840
+ at M01520:37:000000000-A4TDP:1:2113:15287:15423_2:N:0:1	140	gi|490323944|ref|WP_004213415.1|	435	2	93.6	45	95.56	9e-23	13690
+ at M01520:37:000000000-A4TDP:1:2113:15287:15423_2:N:0:1	140	gi|490982830|ref|WP_004844583.1|	743	22	30.4	40	37.50	2.0	33038
+ at M01520:37:000000000-A4TDP:1:2113:15287:15423_2:N:0:1	140	gi|385224765|ref|YP_005784690.1|	569	17	30.0	33	45.45	2.2	585538
+ at M01520:37:000000000-A4TDP:1:2113:15287:15423_2:N:0:1	140	gi|384895454|ref|YP_005769443.1|	569	17	30.0	33	45.45	2.3	585535
+ at M01520:37:000000000-A4TDP:1:2113:15287:15423_2:N:0:1	140	gi|489000562|ref|WP_002911224.1|	745	22	28.5	42	40.48	7.6	1305
+ at M01520:37:000000000-A4TDP:1:2113:15287:15423_2:N:0:1	140	gi|488390854|ref|WP_002460239.1|	571	10	28.1	26	57.69	9.3	28035
+ at M01520:37:000000000-A4TDP:1:2113:2868:18880_2:N:0:1	143	gi|490405083|ref|WP_004279210.1|	293	4	90.5	47	91.49	4e-22	28090
+ at M01520:37:000000000-A4TDP:1:2113:2868:18880_2:N:0:1	143	gi|126641650|ref|YP_001084634.1|	202	16	70.5	47	65.96	4e-15	400667
+ at M01520:37:000000000-A4TDP:1:2113:2868:18880_2:N:0:1	143	gi|489747499|ref|WP_003651508.1|	292	17	67.4	47	63.83	1e-13	471
+ at M01520:37:000000000-A4TDP:1:2113:2868:18880_2:N:0:1	143	gi|491545498|ref|WP_005403114.1|	291	23	56.2	47	51.06	2e-09	40215
+ at M01520:37:000000000-A4TDP:1:2113:2868:18880_2:N:0:1	143	gi|490775924|ref|WP_004638113.1|	291	24	50.4	47	48.94	2e-07	29430
+ at M01520:37:000000000-A4TDP:1:2113:2868:18880_2:N:0:1	143	gi|491909823|ref|WP_005665792.1|	222	27	44.3	47	42.55	2e-05	47229
+ at M01520:37:000000000-A4TDP:1:2113:2868:18880_2:N:0:1	143	gi|490320505|ref|WP_004209990.1|	251	28	31.6	44	36.36	0.55	13690
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_2:N:0:1	105	gi|490406771|ref|WP_004280548.1|	1031	1	70.9	34	97.06	2e-14	28090
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_2:N:0:1	105	gi|491542824|ref|WP_005400442.1|	1034	2	69.7	34	94.12	5e-14	40214
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_2:N:0:1	105	gi|491157224|ref|WP_005015611.1|	1032	3	64.7	32	90.62	3e-12	40216
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_2:N:0:1	105	gi|489746092|ref|WP_003650111.1|	1031	7	61.2	34	79.41	4e-11	471
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_2:N:0:1	105	gi|384144336|ref|YP_005527046.1|	1031	7	61.2	34	79.41	4e-11	497978
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_2:N:0:1	105	gi|487913223|ref|WP_001986689.1|	1031	7	61.2	34	79.41	4e-11	470
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_2:N:0:1	105	gi|491094448|ref|WP_004956054.1|	1034	8	58.9	34	76.47	3e-10	40215
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_2:N:0:1	105	gi|490778074|ref|WP_004640260.1|	1033	6	57.8	32	81.25	8e-10	29430
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_2:N:0:1	105	gi|490646044|ref|WP_004511039.1|	1041	11	57.0	34	67.65	1e-09	28197
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_2:N:0:1	105	gi|494177638|ref|WP_007115458.1|	1090	13	48.9	34	61.76	8e-07	225324
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_2:N:0:1	148	gi|490405750|ref|WP_004279739.1|	875	2	97.8	48	95.83	1e-23	28090
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_2:N:0:1	148	gi|491547222|ref|WP_005404837.1|	870	12	79.3	48	75.00	4e-17	40216
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_2:N:0:1	148	gi|491546617|ref|WP_005404232.1|	870	12	79.3	48	75.00	4e-17	40216
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_2:N:0:1	148	gi|491545216|ref|WP_005402832.1|	876	16	73.2	48	66.67	5e-15	40215
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_2:N:0:1	148	gi|489746452|ref|WP_003650469.1|	872	17	72.8	48	64.58	7e-15	471
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_2:N:0:1	148	gi|491542044|ref|WP_005399663.1|	877	18	72.4	48	62.50	1e-14	40214
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_2:N:0:1	148	gi|384132718|ref|YP_005515330.1|	872	17	72.0	48	64.58	1e-14	696749
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_2:N:0:1	148	gi|169795193|ref|YP_001712986.1|	872	17	72.0	48	64.58	1e-14	509173
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_2:N:0:1	148	gi|490777451|ref|WP_004639637.1|	877	20	66.2	48	58.33	1e-12	29430
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_2:N:0:1	148	gi|493964102|ref|WP_006907541.1|	339	18	31.6	31	41.94	0.76	178214
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_2:N:0:1	73	gi|490405292|ref|WP_004279373.1|	451	1	50.8	24	95.83	9e-08	28090
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_2:N:0:1	73	gi|491157565|ref|WP_005015952.1|	450	4	46.6	24	83.33	2e-06	40216
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_2:N:0:1	73	gi|490778316|ref|WP_004640502.1|	431	4	44.7	24	83.33	1e-05	29430
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_2:N:0:1	73	gi|491089074|ref|WP_004950684.1|	452	6	42.4	24	75.00	7e-05	40215
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_2:N:0:1	73	gi|489751355|ref|WP_003655361.1|	451	6	39.7	23	73.91	6e-04	471
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_2:N:0:1	73	gi|213157706|ref|YP_002320504.1|	430	7	38.1	23	69.57	0.002	480119
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_2:N:0:1	73	gi|184159334|ref|YP_001847673.1|	430	7	38.1	23	69.57	0.002	405416
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_2:N:0:1	73	gi|491544054|ref|WP_005401672.1|	300	9	36.2	24	62.50	0.008	40214
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_2:N:0:1	73	gi|491542354|ref|WP_005399973.1|	450	9	33.9	24	62.50	0.055	40214
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_2:N:0:1	73	gi|184157447|ref|YP_001845786.1|	431	5	33.1	19	73.68	0.12	405416
+ at M01520:37:000000000-A4TDP:1:2113:7039:10781_1:N:0:1	127	gi|490322716|ref|WP_004212201.1|	287	4	77.8	41	90.24	1e-17	13690
+ at M01520:37:000000000-A4TDP:1:2113:7039:10781_1:N:0:1	127	gi|492146562|ref|WP_005762131.1|	296	19	53.9	41	53.66	7e-09	754
+ at M01520:37:000000000-A4TDP:1:2113:7039:10781_1:N:0:1	127	gi|491974424|ref|WP_005700470.1|	302	17	53.1	41	58.54	1e-08	732
+ at M01520:37:000000000-A4TDP:1:2113:7039:10781_1:N:0:1	127	gi|490317739|ref|WP_004207235.1|	298	17	52.0	41	58.54	4e-08	13690
+ at M01520:37:000000000-A4TDP:1:2113:7039:10781_1:N:0:1	127	gi|492885079|ref|WP_006022189.1|	304	20	48.5	41	51.22	7e-07	56946
+ at M01520:37:000000000-A4TDP:1:2113:7039:10781_1:N:0:1	127	gi|488806238|ref|WP_002718644.1|	309	20	48.5	41	51.22	8e-07	1035
+ at M01520:37:000000000-A4TDP:1:2113:7039:10781_1:N:0:1	127	gi|489746945|ref|WP_003650957.1|	295	20	46.6	41	51.22	3e-06	471
+ at M01520:37:000000000-A4TDP:1:2113:7039:10781_1:N:0:1	127	gi|491965724|ref|WP_005696135.1|	299	20	46.6	41	51.22	4e-06	729
+ at M01520:37:000000000-A4TDP:1:2113:7039:10781_1:N:0:1	127	gi|488800979|ref|WP_002713385.1|	304	21	46.2	41	48.78	5e-06	1034
+ at M01520:37:000000000-A4TDP:1:2113:7039:10781_1:N:0:1	127	gi|184157770|ref|YP_001846109.1|	306	19	45.8	41	53.66	6e-06	405416
diff --git a/inst/extdata/blastOut_default.tab b/inst/extdata/blastOut_default.tab
new file mode 100644
index 0000000..464659b
--- /dev/null
+++ b/inst/extdata/blastOut_default.tab
@@ -0,0 +1,1505 @@
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+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_1:N:0:1	gi|490407894|ref|WP_004281359.1|	69.23	39	12	0	2	118	454	492	4e-13	67.0
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_1:N:0:1	gi|491543906|ref|WP_005401524.1|	69.23	39	12	0	2	118	454	492	6e-13	66.6
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_1:N:0:1	gi|493707745|ref|WP_006657421.1|	74.36	39	10	0	2	118	456	494	8e-13	66.2
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_1:N:0:1	gi|490320798|ref|WP_004210283.1|	100.00	36	0	0	110	3	113	148	2e-16	76.3
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_1:N:0:1	gi|489773586|ref|WP_003677486.1|	61.11	36	14	0	110	3	116	151	3e-07	50.4
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_1:N:0:1	gi|489854910|ref|WP_003758575.1|	61.11	36	14	0	110	3	116	151	3e-07	50.4
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_1:N:0:1	gi|489838553|ref|WP_003742263.1|	61.11	36	14	0	110	3	116	151	3e-07	50.1
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_1:N:0:1	gi|496408183|ref|WP_009117047.1|	58.33	36	15	0	110	3	116	151	3e-07	50.1
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_1:N:0:1	gi|489874410|ref|WP_003777926.1|	61.11	36	14	0	110	3	116	151	3e-07	50.1
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_1:N:0:1	gi|488142304|ref|WP_002213512.1|	61.11	36	14	0	110	3	116	151	3e-07	50.1
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_1:N:0:1	gi|489806452|ref|WP_003710324.1|	61.11	36	14	0	110	3	116	151	4e-07	50.1
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_1:N:0:1	gi|489779554|ref|WP_003683445.1|	61.11	36	14	0	110	3	116	151	5e-07	49.7
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_1:N:0:1	gi|490655611|ref|WP_004520601.1|	61.11	36	14	0	110	3	116	151	8e-07	48.9
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_1:N:0:1	gi|490317999|ref|WP_004207495.1|	80.77	26	5	0	85	8	246	271	3e-07	50.1
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_1:N:0:1	gi|492879748|ref|WP_006020619.1|	64.29	28	10	0	85	2	259	286	3e-06	47.0
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_1:N:0:1	gi|488799341|ref|WP_002711747.1|	64.29	28	10	0	85	2	259	286	3e-06	47.0
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_1:N:0:1	gi|488803380|ref|WP_002715786.1|	64.29	28	10	0	85	2	260	287	3e-05	44.3
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_1:N:0:1	gi|491966140|ref|WP_005696360.1|	57.14	28	12	0	85	2	252	279	0.002	38.9
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_1:N:0:1	gi|493770557|ref|WP_006719093.1|	60.71	28	11	0	85	2	248	275	0.003	38.1
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_1:N:0:1	gi|494060091|ref|WP_007002174.1|	55.56	27	12	0	82	2	256	282	0.004	37.7
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_1:N:0:1	gi|494042680|ref|WP_006984801.1|	61.54	26	10	0	79	2	273	298	0.006	37.4
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_1:N:0:1	gi|251792001|ref|YP_003006721.1|	57.14	28	12	0	85	2	248	275	0.010	36.6
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_1:N:0:1	gi|494451916|ref|WP_007242916.1|	57.14	28	12	0	85	2	250	277	0.012	36.6
+ at M01520:37:000000000-A4TDP:1:1102:22864:13560_1:N:0:1	gi|490319150|ref|WP_004208643.1|	87.76	49	6	0	2	148	5	53	2e-13	65.1
+ at M01520:37:000000000-A4TDP:1:1102:22864:13560_1:N:0:1	gi|490645651|ref|WP_004510646.1|	63.83	47	17	0	2	142	4	50	6e-11	58.5
+ at M01520:37:000000000-A4TDP:1:1102:22864:13560_1:N:0:1	gi|490480112|ref|WP_004350448.1|	57.14	49	19	1	5	145	8	56	7e-10	55.5
+ at M01520:37:000000000-A4TDP:1:1102:22864:13560_1:N:0:1	gi|433652908|ref|YP_007296762.1|	54.00	50	21	1	2	145	8	57	1e-09	54.7
+ at M01520:37:000000000-A4TDP:1:1102:22864:13560_1:N:0:1	gi|489102731|ref|WP_003012592.1|	58.33	48	20	0	2	145	2	49	1e-09	54.7
+ at M01520:37:000000000-A4TDP:1:1102:22864:13560_1:N:0:1	gi|490502204|ref|WP_004368303.1|	57.14	49	19	1	5	145	6	54	1e-09	54.7
+ at M01520:37:000000000-A4TDP:1:1102:22864:13560_1:N:0:1	gi|497178650|ref|WP_009498486.1|	62.50	48	16	1	5	142	4	51	2e-09	54.7
+ at M01520:37:000000000-A4TDP:1:1102:22864:13560_1:N:0:1	gi|489090025|ref|WP_002999923.1|	58.33	48	20	0	2	145	2	49	2e-09	54.7
+ at M01520:37:000000000-A4TDP:1:1102:22864:13560_1:N:0:1	gi|493300980|ref|WP_006258587.1|	65.96	47	14	1	5	145	4	48	2e-09	54.3
+ at M01520:37:000000000-A4TDP:1:1102:22864:13560_1:N:0:1	gi|490475316|ref|WP_004345736.1|	52.00	50	22	1	2	145	11	60	6e-09	53.1
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_1:N:0:1	gi|490319360|ref|WP_004208853.1|	87.80	41	5	0	123	1	7	47	3e-19	80.9
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_1:N:0:1	gi|16273108|ref|NP_439342.1|	48.00	25	13	0	96	22	1	25	1.6	30.0
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_1:N:0:1	gi|492845230|ref|WP_005999184.1|	48.39	31	15	1	13	102	46	76	3.9	28.5
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_1:N:0:1	gi|491911343|ref|WP_005666421.1|	39.39	33	14	1	99	1	261	287	5.8	28.5
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_1:N:0:1	gi|490981430|ref|WP_004843191.1|	61.54	13	5	0	95	57	256	268	6.5	28.5
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_1:N:0:1	gi|494452727|ref|WP_007243537.1|	55.56	18	8	0	75	22	7	24	7.6	28.1
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_1:N:0:1	gi|495839516|ref|WP_008564095.1|	42.31	26	15	0	29	106	353	378	8.0	28.1
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_1:N:0:1	gi|490508644|ref|WP_004374671.1|	42.31	26	15	0	29	106	353	378	8.0	28.1
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_1:N:0:1	gi|490471126|ref|WP_004341624.1|	42.31	26	15	0	29	106	353	378	8.0	28.1
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_1:N:0:1	gi|493296527|ref|WP_006254174.1|	42.31	26	15	0	29	106	353	378	8.8	28.1
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_1:N:0:1	gi|490318198|ref|WP_004207694.1|	84.78	46	7	0	139	2	149	194	4e-07	50.1
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_1:N:0:1	gi|495817553|ref|WP_008542132.1|	75.00	20	5	0	61	2	153	172	0.12	33.9
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_1:N:0:1	gi|493916133|ref|WP_006861355.1|	73.68	19	5	0	58	2	258	276	0.14	33.9
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_1:N:0:1	gi|494062129|ref|WP_007004209.1|	78.95	19	4	0	58	2	164	182	0.19	33.1
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_1:N:0:1	gi|496138952|ref|WP_008863459.1|	75.00	20	5	0	61	2	160	179	0.22	33.1
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_1:N:0:1	gi|495818750|ref|WP_008543329.1|	75.00	20	5	0	61	2	155	174	0.29	32.7
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_1:N:0:1	gi|496139175|ref|WP_008863682.1|	75.00	20	5	0	61	2	153	172	0.38	32.3
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_1:N:0:1	gi|496086054|ref|WP_008810561.1|	75.00	20	5	0	61	2	152	171	0.63	31.6
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_1:N:0:1	gi|496139992|ref|WP_008864499.1|	63.16	19	7	0	58	2	157	175	4.4	29.3
+ at M01520:37:000000000-A4TDP:1:1104:27442:7837_1:N:0:1	gi|490318621|ref|WP_004208116.1|	78.26	46	10	0	139	2	7	52	4e-05	44.3
+ at M01520:37:000000000-A4TDP:1:1104:27442:7837_1:N:0:1	gi|491375222|ref|WP_005233114.1|	44.00	25	13	1	146	72	2220	2243	3.0	30.0
+ at M01520:37:000000000-A4TDP:1:1104:27442:7837_1:N:0:1	gi|491436914|ref|WP_005294707.1|	42.42	33	19	0	34	132	238	270	4.5	29.3
+ at M01520:37:000000000-A4TDP:1:1104:27442:7837_1:N:0:1	gi|489805910|ref|WP_003709783.1|	40.48	42	25	0	143	18	8	49	7.1	26.6
+ at M01520:37:000000000-A4TDP:1:1104:27442:7837_1:N:0:1	gi|161016843|ref|NP_031909.2|	56.25	16	7	0	140	93	41	56	8.5	28.5
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_1:N:0:1	gi|490321631|ref|WP_004211116.1|	90.24	41	4	0	124	2	1	41	1e-15	74.3
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_1:N:0:1	gi|488799113|ref|WP_002711519.1|	45.10	51	17	1	121	2	10	60	0.033	35.8
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_1:N:0:1	gi|492878956|ref|WP_006020307.1|	44.23	52	17	1	121	2	10	61	0.11	33.9
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_1:N:0:1	gi|491351855|ref|WP_005209777.1|	76.47	17	4	0	52	2	6	22	0.15	33.5
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_1:N:0:1	gi|494394685|ref|WP_007208937.1|	70.59	17	5	0	52	2	6	22	0.57	32.0
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_1:N:0:1	gi|494060974|ref|WP_007003057.1|	64.71	17	6	0	52	2	17	33	0.94	31.2
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_1:N:0:1	gi|488803692|ref|WP_002716098.1|	86.67	15	2	0	46	2	22	36	1.0	31.2
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_1:N:0:1	gi|488870951|ref|WP_002783176.1|	58.82	17	7	0	52	2	4	20	1.2	30.8
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_1:N:0:1	gi|493965143|ref|WP_006908555.1|	64.71	17	6	0	52	2	5	21	1.4	30.8
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_1:N:0:1	gi|489234241|ref|WP_003142540.1|	70.59	17	5	0	52	2	30	46	1.6	30.4
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_1:N:0:1	gi|490322339|ref|WP_004211824.1|	67.50	40	12	1	3	119	115	154	1e-08	52.4
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_1:N:0:1	gi|491161522|ref|WP_005019909.1|	64.29	42	13	1	3	122	100	141	5e-08	50.4
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_1:N:0:1	gi|490382600|ref|WP_004262112.1|	51.28	39	19	0	3	119	101	139	5e-07	47.8
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_1:N:0:1	gi|493735902|ref|WP_006685111.1|	53.85	39	18	0	3	119	104	142	8e-07	47.0
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_1:N:0:1	gi|491060424|ref|WP_004922058.1|	51.28	39	19	0	3	119	105	143	9e-07	47.0
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_1:N:0:1	gi|15801173|ref|NP_287190.1|	53.85	39	18	0	3	119	100	138	1e-06	46.6
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_1:N:0:1	gi|26247195|ref|NP_753235.1|	53.85	39	18	0	3	119	100	138	1e-06	46.6
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_1:N:0:1	gi|169796183|ref|YP_001713976.1|	60.98	41	15	1	3	122	99	139	4e-06	45.4
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_1:N:0:1	gi|184157888|ref|YP_001846227.1|	60.98	41	15	1	3	122	99	139	4e-06	45.4
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_1:N:0:1	gi|490406059|ref|WP_004279967.1|	58.54	41	16	1	3	122	99	139	5e-06	45.1
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_1:N:0:1	gi|490320482|ref|WP_004209967.1|	87.50	40	5	0	1	120	158	197	7e-15	69.7
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_1:N:0:1	gi|493253038|ref|WP_006220531.1|	69.44	36	10	1	4	108	146	181	6e-07	48.5
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_1:N:0:1	gi|493428932|ref|WP_006384577.1|	69.44	36	10	1	4	108	109	144	4e-06	45.8
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_1:N:0:1	gi|489806330|ref|WP_003710202.1|	72.00	25	7	0	4	78	145	169	4e-04	40.4
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_1:N:0:1	gi|491915361|ref|WP_005669027.1|	54.84	31	14	0	28	120	162	192	0.001	39.3
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_1:N:0:1	gi|489875338|ref|WP_003778843.1|	57.58	33	12	1	4	96	32	64	0.002	37.4
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_1:N:0:1	gi|490984957|ref|WP_004846694.1|	52.63	38	18	0	4	117	142	179	0.004	37.7
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_1:N:0:1	gi|493867505|ref|WP_006814111.1|	68.00	25	8	0	4	78	142	166	0.004	37.4
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_1:N:0:1	gi|489889751|ref|WP_003793201.1|	52.63	38	16	1	4	117	140	175	0.006	37.4
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_1:N:0:1	gi|489880768|ref|WP_003784230.1|	64.00	25	9	0	4	78	145	169	0.007	37.0
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_1:N:0:1	gi|491913012|ref|WP_005667568.1|	64.29	28	10	0	84	1	603	630	2e-06	47.4
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_1:N:0:1	gi|490776300|ref|WP_004638488.1|	64.29	28	10	0	84	1	847	874	6e-06	46.2
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_1:N:0:1	gi|491912439|ref|WP_005667088.1|	71.43	28	8	0	84	1	723	750	6e-06	46.2
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_1:N:0:1	gi|490318004|ref|WP_004207500.1|	71.43	28	8	0	84	1	568	595	6e-06	45.8
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_1:N:0:1	gi|489746580|ref|WP_003650595.1|	64.29	28	10	0	84	1	845	872	9e-06	45.8
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_1:N:0:1	gi|491918177|ref|WP_005671271.1|	64.29	28	10	0	84	1	782	809	1e-05	45.4
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_1:N:0:1	gi|491544715|ref|WP_005402332.1|	64.29	28	10	0	84	1	839	866	1e-05	45.4
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_1:N:0:1	gi|384143978|ref|YP_005526688.1|	64.29	28	10	0	84	1	845	872	1e-05	45.4
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_1:N:0:1	gi|169795276|ref|YP_001713069.1|	64.29	28	10	0	84	1	845	872	1e-05	45.4
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_1:N:0:1	gi|491908775|ref|WP_005665011.1|	71.43	28	8	0	84	1	602	629	1e-05	45.1
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_1:N:0:1	gi|490319882|ref|WP_004209367.1|	100.00	28	0	0	2	85	313	340	7e-11	59.7
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_1:N:0:1	gi|494060560|ref|WP_007002643.1|	67.86	28	9	0	2	85	296	323	4e-04	40.4
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_1:N:0:1	gi|496137309|ref|WP_008861816.1|	57.14	28	12	0	2	85	112	139	0.003	38.1
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_1:N:0:1	gi|492885320|ref|WP_006022262.1|	60.71	28	11	0	2	85	336	363	0.009	36.6
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_1:N:0:1	gi|493299013|ref|WP_006256635.1|	55.56	27	12	0	5	85	108	134	0.009	36.6
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_1:N:0:1	gi|488801052|ref|WP_002713458.1|	60.71	28	11	0	2	85	341	368	0.017	35.8
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_1:N:0:1	gi|493433175|ref|WP_006388739.1|	55.56	27	12	0	5	85	311	337	0.018	35.8
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_1:N:0:1	gi|488804718|ref|WP_002717124.1|	60.71	28	11	0	2	85	318	345	0.019	35.4
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_1:N:0:1	gi|490459601|ref|WP_004330240.1|	57.14	28	12	0	2	85	114	141	0.022	35.4
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_1:N:0:1	gi|491918129|ref|WP_005671246.1|	55.56	27	12	0	5	85	296	322	0.038	34.7
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_1:N:0:1	gi|490321947|ref|WP_004211432.1|	86.36	44	6	0	1	132	455	498	4e-18	82.0
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_1:N:0:1	gi|490321948|ref|WP_004211433.1|	65.91	44	15	0	1	132	456	499	2e-10	59.7
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_1:N:0:1	gi|496420754|ref|WP_009129601.1|	44.44	45	23	1	1	129	392	436	5e-06	47.0
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_1:N:0:1	gi|494934653|ref|WP_007660684.1|	44.44	45	23	1	1	129	392	436	6e-06	47.0
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_1:N:0:1	gi|492238076|ref|WP_005784989.1|	40.91	44	26	0	1	132	409	452	1e-05	45.8
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_1:N:0:1	gi|492273288|ref|WP_005796124.1|	40.91	44	26	0	1	132	409	452	1e-05	45.8
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_1:N:0:1	gi|492295970|ref|WP_005801352.1|	40.91	44	26	0	1	132	409	452	1e-05	45.8
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_1:N:0:1	gi|492371314|ref|WP_005823808.1|	44.44	45	23	1	1	129	393	437	2e-05	45.4
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_1:N:0:1	gi|492409607|ref|WP_005835314.1|	44.44	45	23	1	1	129	392	436	2e-05	45.4
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_1:N:0:1	gi|490418874|ref|WP_004291193.1|	44.44	45	23	1	1	129	392	436	4e-05	44.3
+ at M01520:37:000000000-A4TDP:1:2104:29246:14894_1:N:0:1	gi|490319810|ref|WP_004209295.1|	75.00	48	12	0	148	5	695	742	4e-14	70.9
+ at M01520:37:000000000-A4TDP:1:2104:29246:14894_1:N:0:1	gi|493770834|ref|WP_006719366.1|	44.83	29	16	0	145	59	108	136	1.7	30.0
+ at M01520:37:000000000-A4TDP:1:2104:29246:14894_1:N:0:1	gi|488718222|ref|WP_002642098.1|	41.67	36	21	0	109	2	403	438	1.8	30.4
+ at M01520:37:000000000-A4TDP:1:2104:29246:14894_1:N:0:1	gi|490779063|ref|WP_004641249.1|	44.83	29	16	0	145	59	112	140	2.7	29.6
+ at M01520:37:000000000-A4TDP:1:2104:29246:14894_1:N:0:1	gi|491545685|ref|WP_005403301.1|	44.83	29	16	0	145	59	112	140	3.0	29.6
+ at M01520:37:000000000-A4TDP:1:2104:29246:14894_1:N:0:1	gi|491547618|ref|WP_005405233.1|	44.83	29	16	0	145	59	112	140	3.0	29.6
+ at M01520:37:000000000-A4TDP:1:2104:29246:14894_1:N:0:1	gi|169794513|ref|YP_001712306.1|	44.83	29	16	0	145	59	112	140	3.2	29.3
+ at M01520:37:000000000-A4TDP:1:2104:29246:14894_1:N:0:1	gi|184159679|ref|YP_001848018.1|	44.83	29	16	0	145	59	112	140	3.2	29.3
+ at M01520:37:000000000-A4TDP:1:2104:29246:14894_1:N:0:1	gi|446386739|ref|WP_000464594.1|	44.83	29	16	0	145	59	112	140	3.3	29.3
+ at M01520:37:000000000-A4TDP:1:2104:29246:14894_1:N:0:1	gi|490407710|ref|WP_004281202.1|	46.15	26	14	0	136	59	115	140	3.5	29.3
+ at M01520:37:000000000-A4TDP:1:2105:18783:17383_1:N:0:1	gi|490318190|ref|WP_004207686.1|	79.59	49	10	0	149	3	41	89	3e-18	82.4
+ at M01520:37:000000000-A4TDP:1:2105:18783:17383_1:N:0:1	gi|491656376|ref|WP_005513095.1|	61.70	47	18	0	143	3	42	88	5e-12	64.7
+ at M01520:37:000000000-A4TDP:1:2105:18783:17383_1:N:0:1	gi|494061091|ref|WP_007003173.1|	59.18	49	20	0	149	3	362	410	1e-10	60.5
+ at M01520:37:000000000-A4TDP:1:2105:18783:17383_1:N:0:1	gi|488805985|ref|WP_002718391.1|	57.14	49	21	0	149	3	39	87	2e-10	60.1
+ at M01520:37:000000000-A4TDP:1:2105:18783:17383_1:N:0:1	gi|490043827|ref|WP_003946189.1|	53.19	47	22	0	143	3	42	88	3e-08	53.5
+ at M01520:37:000000000-A4TDP:1:2105:18783:17383_1:N:0:1	gi|488802058|ref|WP_002714464.1|	48.98	49	25	0	149	3	39	87	1e-07	52.0
+ at M01520:37:000000000-A4TDP:1:2105:18783:17383_1:N:0:1	gi|492886719|ref|WP_006022702.1|	46.94	49	26	0	149	3	39	87	5e-07	50.1
+ at M01520:37:000000000-A4TDP:1:2105:18783:17383_1:N:0:1	gi|496407123|ref|WP_009115987.1|	52.27	44	21	0	134	3	47	90	6e-07	50.1
+ at M01520:37:000000000-A4TDP:1:2105:18783:17383_1:N:0:1	gi|491654641|ref|WP_005511361.1|	44.90	49	26	1	149	3	41	88	6e-06	47.0
+ at M01520:37:000000000-A4TDP:1:2105:18783:17383_1:N:0:1	gi|491156288|ref|WP_005014675.1|	51.16	43	18	1	131	3	46	85	9e-06	46.6
+ at M01520:37:000000000-A4TDP:1:2106:23991:18196_1:N:0:1	gi|490319400|ref|WP_004208893.1|	90.00	30	3	0	2	91	120	149	3e-11	59.7
+ at M01520:37:000000000-A4TDP:1:2107:25063:12748_1:N:0:1	gi|493251531|ref|WP_006219397.1|	82.76	29	5	0	1	87	178	206	3e-08	52.0
+ at M01520:37:000000000-A4TDP:1:2107:25063:12748_1:N:0:1	gi|490321099|ref|WP_004210584.1|	79.31	29	6	0	1	87	174	202	6e-08	50.8
+ at M01520:37:000000000-A4TDP:1:2107:25063:12748_1:N:0:1	gi|490321964|ref|WP_004211449.1|	72.41	29	8	0	1	87	177	205	2e-06	46.2
+ at M01520:37:000000000-A4TDP:1:2107:25063:12748_1:N:0:1	gi|491904284|ref|WP_005662715.1|	62.07	29	11	0	1	87	176	204	3e-05	43.5
+ at M01520:37:000000000-A4TDP:1:2107:25063:12748_1:N:0:1	gi|489070196|ref|WP_002980168.1|	51.72	29	14	0	1	87	176	204	0.005	37.0
+ at M01520:37:000000000-A4TDP:1:2107:25063:12748_1:N:0:1	gi|489097093|ref|WP_003006972.1|	44.83	29	16	0	1	87	176	204	0.20	32.3
+ at M01520:37:000000000-A4TDP:1:2107:25063:12748_1:N:0:1	gi|489084542|ref|WP_002994451.1|	44.83	29	16	0	1	87	176	204	0.20	32.3
+ at M01520:37:000000000-A4TDP:1:2107:25063:12748_1:N:0:1	gi|489086903|ref|WP_002996808.1|	44.83	29	16	0	1	87	170	198	0.79	30.4
+ at M01520:37:000000000-A4TDP:1:2109:20184:3970_1:N:0:1	gi|490319328|ref|WP_004208821.1|	80.00	40	8	0	1	120	27	66	3e-15	70.1
+ at M01520:37:000000000-A4TDP:1:2109:20184:3970_1:N:0:1	gi|490317916|ref|WP_004207412.1|	50.00	36	18	0	13	120	32	67	6e-06	44.7
+ at M01520:37:000000000-A4TDP:1:2109:20184:3970_1:N:0:1	gi|493430610|ref|WP_006386219.1|	37.84	37	23	0	10	120	27	63	1.1	30.0
+ at M01520:37:000000000-A4TDP:1:2109:20184:3970_1:N:0:1	gi|209972970|ref|YP_002300417.1|	48.00	25	13	0	5	79	795	819	1.5	30.4
+ at M01520:37:000000000-A4TDP:1:2109:20184:3970_1:N:0:1	gi|493429116|ref|WP_006384754.1|	27.03	37	27	0	10	120	31	67	1.6	29.6
+ at M01520:37:000000000-A4TDP:1:2109:20184:3970_1:N:0:1	gi|491665347|ref|WP_005522062.1|	48.15	27	14	0	120	40	39	65	3.1	29.3
+ at M01520:37:000000000-A4TDP:1:2109:20184:3970_1:N:0:1	gi|490321196|ref|WP_004210681.1|	37.50	40	25	0	1	120	29	68	3.5	28.9
+ at M01520:37:000000000-A4TDP:1:2109:20184:3970_1:N:0:1	gi|209916843|ref|YP_002291163.1|	52.17	23	11	0	69	1	129	151	3.7	29.3
+ at M01520:37:000000000-A4TDP:1:2109:20184:3970_1:N:0:1	gi|491669072|ref|WP_005525214.1|	44.44	27	15	0	120	40	39	65	8.0	28.1
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_1:N:0:1	gi|490317815|ref|WP_004207311.1|	93.62	47	3	0	3	143	69	115	9e-25	96.3
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_1:N:0:1	gi|493254879|ref|WP_006221667.1|	61.70	47	18	0	3	143	51	97	2e-14	68.2
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_1:N:0:1	gi|488804628|ref|WP_002717034.1|	63.83	47	17	0	3	143	69	115	9e-13	63.9
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_1:N:0:1	gi|492884469|ref|WP_006021995.1|	59.57	47	19	0	3	143	69	115	1e-12	63.5
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_1:N:0:1	gi|494061673|ref|WP_007003753.1|	59.57	47	19	0	3	143	69	115	1e-12	63.2
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_1:N:0:1	gi|488800794|ref|WP_002713200.1|	59.57	47	19	0	3	143	69	115	2e-12	63.2
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_1:N:0:1	gi|491905575|ref|WP_005663340.1|	55.32	47	21	0	3	143	73	119	6e-12	61.2
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_1:N:0:1	gi|495818852|ref|WP_008543431.1|	51.06	47	23	0	3	143	74	120	3e-11	61.6
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_1:N:0:1	gi|492549294|ref|WP_005882473.1|	51.06	47	23	0	3	143	73	119	4e-11	59.3
+ at M01520:37:000000000-A4TDP:1:2112:15725:20600_1:N:0:1	gi|496085814|ref|WP_008810321.1|	51.06	47	23	0	3	143	75	121	1e-10	58.2
+ at M01520:37:000000000-A4TDP:1:2113:15287:15423_1:N:0:1	gi|490323944|ref|WP_004213415.1|	95.56	45	2	0	6	140	351	395	9e-23	93.6
+ at M01520:37:000000000-A4TDP:1:2113:15287:15423_1:N:0:1	gi|490982830|ref|WP_004844583.1|	37.50	40	22	1	131	21	505	544	2.0	30.4
+ at M01520:37:000000000-A4TDP:1:2113:15287:15423_1:N:0:1	gi|385224765|ref|YP_005784690.1|	45.45	33	17	1	27	125	206	237	2.2	30.0
+ at M01520:37:000000000-A4TDP:1:2113:15287:15423_1:N:0:1	gi|384895454|ref|YP_005769443.1|	45.45	33	17	1	27	125	206	237	2.3	30.0
+ at M01520:37:000000000-A4TDP:1:2113:15287:15423_1:N:0:1	gi|489000562|ref|WP_002911224.1|	40.48	42	22	1	137	21	505	546	7.6	28.5
+ at M01520:37:000000000-A4TDP:1:2113:15287:15423_1:N:0:1	gi|488390854|ref|WP_002460239.1|	57.69	26	10	1	48	125	215	239	9.3	28.1
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_2:N:0:1	gi|490318842|ref|WP_004208337.1|	92.31	39	3	0	117	1	457	495	1e-18	82.8
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_2:N:0:1	gi|490319924|ref|WP_004209409.1|	92.31	39	3	0	117	1	455	493	4e-18	81.6
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_2:N:0:1	gi|494062700|ref|WP_007004780.1|	82.50	40	7	0	120	1	453	492	6e-16	75.1
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_2:N:0:1	gi|494177241|ref|WP_007115123.1|	71.79	39	11	0	120	4	453	491	2e-15	73.6
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_2:N:0:1	gi|491159490|ref|WP_005017877.1|	71.79	39	11	0	120	4	454	492	2e-14	71.2
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_2:N:0:1	gi|493867402|ref|WP_006814012.1|	79.49	39	8	0	120	4	456	494	9e-14	68.9
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_2:N:0:1	gi|386743407|ref|YP_006216586.1|	76.92	39	9	0	120	4	456	494	4e-13	67.4
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_2:N:0:1	gi|490407894|ref|WP_004281359.1|	69.23	39	12	0	120	4	454	492	4e-13	67.0
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_2:N:0:1	gi|491543906|ref|WP_005401524.1|	69.23	39	12	0	120	4	454	492	6e-13	66.6
+ at M01520:37:000000000-A4TDP:1:1101:9171:16095_2:N:0:1	gi|493707745|ref|WP_006657421.1|	74.36	39	10	0	120	4	456	494	8e-13	66.2
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_2:N:0:1	gi|490320798|ref|WP_004210283.1|	100.00	36	0	0	1	108	113	148	2e-16	76.3
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_2:N:0:1	gi|489773586|ref|WP_003677486.1|	61.11	36	14	0	1	108	116	151	3e-07	50.4
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_2:N:0:1	gi|489854910|ref|WP_003758575.1|	61.11	36	14	0	1	108	116	151	3e-07	50.4
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_2:N:0:1	gi|489838553|ref|WP_003742263.1|	61.11	36	14	0	1	108	116	151	3e-07	50.1
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_2:N:0:1	gi|496408183|ref|WP_009117047.1|	58.33	36	15	0	1	108	116	151	3e-07	50.1
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_2:N:0:1	gi|489874410|ref|WP_003777926.1|	61.11	36	14	0	1	108	116	151	3e-07	50.1
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_2:N:0:1	gi|488142304|ref|WP_002213512.1|	61.11	36	14	0	1	108	116	151	3e-07	50.1
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_2:N:0:1	gi|489806452|ref|WP_003710324.1|	61.11	36	14	0	1	108	116	151	4e-07	50.1
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_2:N:0:1	gi|489779554|ref|WP_003683445.1|	61.11	36	14	0	1	108	116	151	5e-07	49.7
+ at M01520:37:000000000-A4TDP:1:1101:7876:22388_2:N:0:1	gi|490655611|ref|WP_004520601.1|	61.11	36	14	0	1	108	116	151	8e-07	48.9
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_2:N:0:1	gi|490317999|ref|WP_004207495.1|	80.77	26	5	0	1	78	246	271	3e-07	50.1
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_2:N:0:1	gi|492879748|ref|WP_006020619.1|	64.29	28	10	0	1	84	259	286	3e-06	47.0
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_2:N:0:1	gi|488799341|ref|WP_002711747.1|	64.29	28	10	0	1	84	259	286	3e-06	47.0
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_2:N:0:1	gi|488803380|ref|WP_002715786.1|	64.29	28	10	0	1	84	260	287	3e-05	44.3
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_2:N:0:1	gi|491966140|ref|WP_005696360.1|	57.14	28	12	0	1	84	252	279	0.002	38.9
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_2:N:0:1	gi|493770557|ref|WP_006719093.1|	60.71	28	11	0	1	84	248	275	0.003	38.1
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_2:N:0:1	gi|494060091|ref|WP_007002174.1|	55.56	27	12	0	4	84	256	282	0.004	37.7
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_2:N:0:1	gi|494042680|ref|WP_006984801.1|	61.54	26	10	0	7	84	273	298	0.006	37.4
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_2:N:0:1	gi|251792001|ref|YP_003006721.1|	57.14	28	12	0	1	84	248	275	0.010	36.6
+ at M01520:37:000000000-A4TDP:1:1102:18979:4075_2:N:0:1	gi|494451916|ref|WP_007242916.1|	57.14	28	12	0	1	84	250	277	0.012	36.6
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_2:N:0:1	gi|490319360|ref|WP_004208853.1|	87.80	41	5	0	3	125	7	47	3e-19	80.9
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_2:N:0:1	gi|16273108|ref|NP_439342.1|	48.00	25	13	0	30	104	1	25	1.6	30.0
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_2:N:0:1	gi|492845230|ref|WP_005999184.1|	48.39	31	15	1	113	24	46	76	3.9	28.5
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_2:N:0:1	gi|491911343|ref|WP_005666421.1|	39.39	33	14	1	27	125	261	287	5.8	28.5
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_2:N:0:1	gi|490981430|ref|WP_004843191.1|	61.54	13	5	0	31	69	256	268	6.5	28.5
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_2:N:0:1	gi|494452727|ref|WP_007243537.1|	55.56	18	8	0	51	104	7	24	7.6	28.1
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_2:N:0:1	gi|495839516|ref|WP_008564095.1|	42.31	26	15	0	97	20	353	378	8.0	28.1
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_2:N:0:1	gi|490508644|ref|WP_004374671.1|	42.31	26	15	0	97	20	353	378	8.0	28.1
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_2:N:0:1	gi|490471126|ref|WP_004341624.1|	42.31	26	15	0	97	20	353	378	8.0	28.1
+ at M01520:37:000000000-A4TDP:1:1102:2601:16624_2:N:0:1	gi|493296527|ref|WP_006254174.1|	42.31	26	15	0	97	20	353	378	8.8	28.1
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_2:N:0:1	gi|490318198|ref|WP_004207694.1|	84.78	46	7	0	2	139	149	194	4e-07	50.1
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_2:N:0:1	gi|495817553|ref|WP_008542132.1|	75.00	20	5	0	80	139	153	172	0.12	33.9
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_2:N:0:1	gi|493916133|ref|WP_006861355.1|	73.68	19	5	0	83	139	258	276	0.14	33.9
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_2:N:0:1	gi|494062129|ref|WP_007004209.1|	78.95	19	4	0	83	139	164	182	0.19	33.1
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_2:N:0:1	gi|496138952|ref|WP_008863459.1|	75.00	20	5	0	80	139	160	179	0.22	33.1
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_2:N:0:1	gi|495818750|ref|WP_008543329.1|	75.00	20	5	0	80	139	155	174	0.29	32.7
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_2:N:0:1	gi|496139175|ref|WP_008863682.1|	75.00	20	5	0	80	139	153	172	0.38	32.3
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_2:N:0:1	gi|496086054|ref|WP_008810561.1|	75.00	20	5	0	80	139	152	171	0.63	31.6
+ at M01520:37:000000000-A4TDP:1:1103:23461:16073_2:N:0:1	gi|496139992|ref|WP_008864499.1|	63.16	19	7	0	83	139	157	175	4.4	29.3
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_2:N:0:1	gi|490321631|ref|WP_004211116.1|	87.80	41	5	0	11	133	1	41	2e-15	73.6
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_2:N:0:1	gi|488799113|ref|WP_002711519.1|	43.14	51	18	1	14	133	10	60	0.069	34.7
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_2:N:0:1	gi|492878956|ref|WP_006020307.1|	42.31	52	18	1	14	133	10	61	0.23	33.1
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_2:N:0:1	gi|491351855|ref|WP_005209777.1|	70.59	17	5	0	83	133	6	22	0.34	32.3
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_2:N:0:1	gi|494394685|ref|WP_007208937.1|	64.71	17	6	0	83	133	6	22	1.3	30.8
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_2:N:0:1	gi|494060974|ref|WP_007003057.1|	64.71	17	6	0	83	133	17	33	1.9	30.4
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_2:N:0:1	gi|488870951|ref|WP_002783176.1|	58.82	17	7	0	83	133	4	20	2.0	30.0
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_2:N:0:1	gi|488803692|ref|WP_002716098.1|	80.00	15	3	0	89	133	22	36	2.3	30.0
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_2:N:0:1	gi|490402736|ref|WP_004277383.1|	52.94	17	8	0	83	133	4	20	3.0	29.6
+ at M01520:37:000000000-A4TDP:1:1106:10693:2419_2:N:0:1	gi|493965143|ref|WP_006908555.1|	58.82	17	7	0	83	133	5	21	3.2	29.6
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_2:N:0:1	gi|490322339|ref|WP_004211824.1|	67.50	40	12	1	120	4	115	154	1e-08	52.4
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_2:N:0:1	gi|491161522|ref|WP_005019909.1|	64.29	42	13	1	120	1	100	141	5e-08	50.4
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_2:N:0:1	gi|490382600|ref|WP_004262112.1|	51.28	39	19	0	120	4	101	139	5e-07	47.8
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_2:N:0:1	gi|493735902|ref|WP_006685111.1|	53.85	39	18	0	120	4	104	142	8e-07	47.0
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_2:N:0:1	gi|491060424|ref|WP_004922058.1|	51.28	39	19	0	120	4	105	143	9e-07	47.0
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_2:N:0:1	gi|15801173|ref|NP_287190.1|	53.85	39	18	0	120	4	100	138	1e-06	46.6
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_2:N:0:1	gi|26247195|ref|NP_753235.1|	53.85	39	18	0	120	4	100	138	1e-06	46.6
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_2:N:0:1	gi|169796183|ref|YP_001713976.1|	60.98	41	15	1	120	1	99	139	4e-06	45.4
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_2:N:0:1	gi|184157888|ref|YP_001846227.1|	60.98	41	15	1	120	1	99	139	4e-06	45.4
+ at M01520:37:000000000-A4TDP:1:1108:7940:6511_2:N:0:1	gi|490406059|ref|WP_004279967.1|	58.54	41	16	1	120	1	99	139	5e-06	45.1
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_2:N:0:1	gi|490320482|ref|WP_004209967.1|	87.50	40	5	0	120	1	158	197	7e-15	69.7
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_2:N:0:1	gi|493253038|ref|WP_006220531.1|	69.44	36	10	1	117	13	146	181	6e-07	48.5
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_2:N:0:1	gi|493428932|ref|WP_006384577.1|	69.44	36	10	1	117	13	109	144	4e-06	45.8
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_2:N:0:1	gi|489806330|ref|WP_003710202.1|	72.00	25	7	0	117	43	145	169	4e-04	40.4
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_2:N:0:1	gi|491915361|ref|WP_005669027.1|	54.84	31	14	0	93	1	162	192	0.001	39.3
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_2:N:0:1	gi|489875338|ref|WP_003778843.1|	57.58	33	12	1	117	25	32	64	0.002	37.4
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_2:N:0:1	gi|490984957|ref|WP_004846694.1|	52.63	38	18	0	117	4	142	179	0.004	37.7
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_2:N:0:1	gi|493867505|ref|WP_006814111.1|	68.00	25	8	0	117	43	142	166	0.004	37.4
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_2:N:0:1	gi|489889751|ref|WP_003793201.1|	52.63	38	16	1	117	4	140	175	0.006	37.4
+ at M01520:37:000000000-A4TDP:1:1108:11631:23462_2:N:0:1	gi|489880768|ref|WP_003784230.1|	64.00	25	9	0	117	43	145	169	0.007	37.0
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_2:N:0:1	gi|491913012|ref|WP_005667568.1|	64.29	28	10	0	3	86	603	630	2e-06	47.4
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_2:N:0:1	gi|490776300|ref|WP_004638488.1|	64.29	28	10	0	3	86	847	874	6e-06	46.2
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_2:N:0:1	gi|491912439|ref|WP_005667088.1|	71.43	28	8	0	3	86	723	750	6e-06	46.2
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_2:N:0:1	gi|490318004|ref|WP_004207500.1|	71.43	28	8	0	3	86	568	595	6e-06	45.8
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_2:N:0:1	gi|489746580|ref|WP_003650595.1|	64.29	28	10	0	3	86	845	872	9e-06	45.8
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_2:N:0:1	gi|491918177|ref|WP_005671271.1|	64.29	28	10	0	3	86	782	809	1e-05	45.4
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_2:N:0:1	gi|491544715|ref|WP_005402332.1|	64.29	28	10	0	3	86	839	866	1e-05	45.4
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_2:N:0:1	gi|384143978|ref|YP_005526688.1|	64.29	28	10	0	3	86	845	872	1e-05	45.4
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_2:N:0:1	gi|169795276|ref|YP_001713069.1|	64.29	28	10	0	3	86	845	872	1e-05	45.4
+ at M01520:37:000000000-A4TDP:1:1109:21074:2878_2:N:0:1	gi|491908775|ref|WP_005665011.1|	71.43	28	8	0	3	86	602	629	1e-05	45.1
+ at M01520:37:000000000-A4TDP:1:1111:7905:9218_2:N:0:1	gi|494176752|ref|WP_007114893.1|	72.22	36	10	0	108	1	18	53	6e-10	58.2
+ at M01520:37:000000000-A4TDP:1:1111:7905:9218_2:N:0:1	gi|493862892|ref|WP_006809642.1|	66.67	36	12	0	108	1	18	53	2e-08	53.9
+ at M01520:37:000000000-A4TDP:1:1111:7905:9218_2:N:0:1	gi|490323511|ref|WP_004212996.1|	69.44	36	11	0	108	1	18	53	2e-08	53.9
+ at M01520:37:000000000-A4TDP:1:1111:7905:9218_2:N:0:1	gi|446483814|ref|WP_000561668.1|	82.14	28	5	0	84	1	26	53	2e-08	53.9
+ at M01520:37:000000000-A4TDP:1:1111:7905:9218_2:N:0:1	gi|490775367|ref|WP_004637562.1|	82.14	28	5	0	84	1	26	53	2e-08	53.9
+ at M01520:37:000000000-A4TDP:1:1111:7905:9218_2:N:0:1	gi|490198118|ref|WP_004096640.1|	66.67	36	12	0	108	1	18	53	3e-08	53.1
+ at M01520:37:000000000-A4TDP:1:1111:7905:9218_2:N:0:1	gi|491546153|ref|WP_005403768.1|	75.00	28	7	0	84	1	26	53	4e-08	53.1
+ at M01520:37:000000000-A4TDP:1:1111:7905:9218_2:N:0:1	gi|493895460|ref|WP_006841369.1|	58.33	36	15	0	108	1	18	53	5e-08	48.9
+ at M01520:37:000000000-A4TDP:1:1111:7905:9218_2:N:0:1	gi|493871133|ref|WP_006817648.1|	58.33	36	15	0	108	1	18	53	2e-07	50.8
+ at M01520:37:000000000-A4TDP:1:1111:7905:9218_2:N:0:1	gi|491044000|ref|WP_004905662.1|	58.33	36	15	0	108	1	18	53	2e-07	50.4
+ at M01520:37:000000000-A4TDP:1:1113:18960:5589_2:N:0:1	gi|498366279|ref|WP_010680435.1|	60.53	38	15	0	1	114	25	62	0.003	37.7
+ at M01520:37:000000000-A4TDP:1:1113:18960:5589_2:N:0:1	gi|493860417|ref|WP_006807200.1|	65.79	38	13	0	1	114	25	62	0.010	36.2
+ at M01520:37:000000000-A4TDP:1:1113:18960:5589_2:N:0:1	gi|494043467|ref|WP_006985586.1|	55.26	38	17	0	1	114	25	62	0.033	34.7
+ at M01520:37:000000000-A4TDP:1:1113:18960:5589_2:N:0:1	gi|497210554|ref|WP_009524816.1|	60.53	38	15	0	1	114	25	62	0.079	33.9
+ at M01520:37:000000000-A4TDP:1:1113:18960:5589_2:N:0:1	gi|490322879|ref|WP_004212364.1|	65.79	38	13	0	1	114	26	63	0.10	33.5
+ at M01520:37:000000000-A4TDP:1:1113:18960:5589_2:N:0:1	gi|497212558|ref|WP_009526820.1|	57.89	38	16	0	1	114	25	62	0.13	33.1
+ at M01520:37:000000000-A4TDP:1:1113:18960:5589_2:N:0:1	gi|490241348|ref|WP_004139600.1|	57.89	38	16	0	1	114	25	62	0.16	32.7
+ at M01520:37:000000000-A4TDP:1:1113:18960:5589_2:N:0:1	gi|489866235|ref|WP_003769820.1|	57.89	38	16	0	1	114	28	65	0.19	32.7
+ at M01520:37:000000000-A4TDP:1:1113:18960:5589_2:N:0:1	gi|489850778|ref|WP_003754457.1|	57.89	38	16	0	1	114	25	62	0.42	31.6
+ at M01520:37:000000000-A4TDP:1:1113:18960:5589_2:N:0:1	gi|496131605|ref|WP_008856112.1|	52.63	38	18	0	1	114	26	63	0.70	30.8
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_2:N:0:1	gi|490319882|ref|WP_004209367.1|	100.00	28	0	0	84	1	313	340	7e-11	59.7
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_2:N:0:1	gi|494060560|ref|WP_007002643.1|	67.86	28	9	0	84	1	296	323	4e-04	40.4
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_2:N:0:1	gi|496137309|ref|WP_008861816.1|	57.14	28	12	0	84	1	112	139	0.003	38.1
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_2:N:0:1	gi|492885320|ref|WP_006022262.1|	60.71	28	11	0	84	1	336	363	0.009	36.6
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_2:N:0:1	gi|493299013|ref|WP_006256635.1|	55.56	27	12	0	81	1	108	134	0.009	36.6
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_2:N:0:1	gi|488801052|ref|WP_002713458.1|	60.71	28	11	0	84	1	341	368	0.017	35.8
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_2:N:0:1	gi|493433175|ref|WP_006388739.1|	55.56	27	12	0	81	1	311	337	0.018	35.8
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_2:N:0:1	gi|488804718|ref|WP_002717124.1|	60.71	28	11	0	84	1	318	345	0.019	35.4
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_2:N:0:1	gi|490459601|ref|WP_004330240.1|	57.14	28	12	0	84	1	114	141	0.022	35.4
+ at M01520:37:000000000-A4TDP:1:2102:16870:9813_2:N:0:1	gi|491918129|ref|WP_005671246.1|	55.56	27	12	0	81	1	296	322	0.038	34.7
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_2:N:0:1	gi|490321947|ref|WP_004211432.1|	86.36	44	6	0	132	1	455	498	4e-18	82.0
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_2:N:0:1	gi|490321948|ref|WP_004211433.1|	65.91	44	15	0	132	1	456	499	2e-10	59.7
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_2:N:0:1	gi|496420754|ref|WP_009129601.1|	44.44	45	23	1	132	4	392	436	5e-06	47.0
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_2:N:0:1	gi|494934653|ref|WP_007660684.1|	44.44	45	23	1	132	4	392	436	6e-06	47.0
+ at M01520:37:000000000-A4TDP:1:2102:10031:18650_2:N:0:1	gi|492238076|ref|WP_005784989.1|	40.91	44	26	0	132	1	409	452	1e-05	45.8
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+ at M01520:37:000000000-A4TDP:1:1103:22070:8924_1:N:0:1	gi|490945548|ref|WP_004807379.1|	35.42	48	31	0	146	3	81	128	0.79	31.6
+ at M01520:37:000000000-A4TDP:1:1103:22070:8924_1:N:0:1	gi|488380924|ref|WP_002450309.1|	35.00	40	26	0	146	27	74	113	2.6	30.0
+ at M01520:37:000000000-A4TDP:1:1103:22070:8924_1:N:0:1	gi|493734475|ref|WP_006683698.1|	37.50	40	25	0	128	9	74	113	3.6	29.6
+ at M01520:37:000000000-A4TDP:1:1103:22070:8924_1:N:0:1	gi|488434322|ref|WP_002503707.1|	36.59	41	26	0	146	24	74	114	3.6	29.6
+ at M01520:37:000000000-A4TDP:1:1103:22070:8924_1:N:0:1	gi|488416860|ref|WP_002486245.1|	36.59	41	26	0	146	24	74	114	3.6	29.6
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_1:N:0:1	gi|490407309|ref|WP_004280912.1|	100.00	36	0	0	11	118	1	36	1e-17	79.7
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_1:N:0:1	gi|491545841|ref|WP_005403457.1|	53.33	30	14	0	29	118	10	39	9e-04	40.0
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_1:N:0:1	gi|446983975|ref|WP_001061231.1|	50.00	32	14	2	20	109	7	38	0.13	33.5
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_1:N:0:1	gi|490775013|ref|WP_004637214.1|	54.17	24	10	1	50	118	19	42	0.72	31.6
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_1:N:0:1	gi|491906597|ref|WP_005664104.1|	44.44	27	15	0	38	118	14	40	2.7	29.6
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_1:N:0:1	gi|491906669|ref|WP_005664147.1|	40.62	32	19	0	23	118	9	40	2.7	29.6
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_1:N:0:1	gi|38347956|ref|NP_941205.1|	46.88	32	16	1	14	106	6	37	2.9	29.6
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_1:N:0:1	gi|310831412|ref|YP_003970055.1|	66.67	15	5	0	8	52	219	233	8.1	27.7
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_1:N:0:1	gi|493646578|ref|WP_006598184.1|	54.17	24	9	1	38	103	4	27	8.2	28.1
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_1:N:0:1	gi|490409057|ref|WP_004282311.1|	93.33	45	3	0	137	3	85	129	2e-09	54.7
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_1:N:0:1	gi|490409059|ref|WP_004282312.1|	91.11	45	4	0	137	3	117	161	9e-09	52.4
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_1:N:0:1	gi|491546179|ref|WP_005403794.1|	88.89	45	5	0	137	3	76	120	1e-08	54.3
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_1:N:0:1	gi|491544401|ref|WP_005402018.1|	91.11	45	4	0	137	3	55	99	6e-08	52.4
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_1:N:0:1	gi|491546413|ref|WP_005404028.1|	91.11	45	4	0	137	3	55	99	8e-08	52.0
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_1:N:0:1	gi|490779841|ref|WP_004642027.1|	94.29	35	2	0	107	3	1	35	0.016	36.6
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_1:N:0:1	gi|446564708|ref|WP_000642054.1|	87.10	31	4	0	95	3	1	31	1.3	30.8
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_1:N:0:1	gi|491544665|ref|WP_005402282.1|	40.62	32	18	1	9	101	1	32	3.1	29.3
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_1:N:0:1	gi|447017162|ref|WP_001094418.1|	100.00	13	0	0	137	99	85	97	4.4	27.7
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_1:N:0:1	gi|490405915|ref|WP_004279874.1|	100.00	41	0	0	2	124	83	123	3e-20	83.6
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_1:N:0:1	gi|491543415|ref|WP_005401033.1|	80.49	41	8	0	2	124	123	163	2e-15	71.2
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_1:N:0:1	gi|491156215|ref|WP_005014602.1|	58.54	41	17	0	2	124	82	122	2e-10	57.0
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_1:N:0:1	gi|491544788|ref|WP_005402405.1|	60.98	41	16	0	2	124	81	121	2e-09	53.9
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_1:N:0:1	gi|126642008|ref|YP_001084992.1|	56.10	41	18	0	2	124	83	123	3e-09	53.5
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_1:N:0:1	gi|489748161|ref|WP_003652170.1|	53.66	41	19	0	2	124	83	123	6e-09	52.8
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_1:N:0:1	gi|490777236|ref|WP_004639422.1|	58.54	41	17	0	2	124	81	121	0.002	37.7
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_1:N:0:1	gi|491106449|ref|WP_004966274.1|	38.10	42	24	1	5	124	70	111	0.016	35.0
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_1:N:0:1	gi|496433470|ref|WP_009142317.1|	40.48	42	23	1	5	124	78	119	3.0	28.9
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_1:N:0:1	gi|490405867|ref|WP_004279834.1|	100.00	29	0	0	3	89	797	825	5e-10	58.2
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_1:N:0:1	gi|491543590|ref|WP_005401208.1|	72.41	29	8	0	3	89	797	825	4e-05	43.9
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_1:N:0:1	gi|487913508|ref|WP_001986974.1|	68.97	29	9	0	3	89	795	823	1e-04	42.7
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_1:N:0:1	gi|489747407|ref|WP_003651417.1|	68.97	29	9	0	3	89	800	828	1e-04	42.4
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_1:N:0:1	gi|384142982|ref|YP_005525692.1|	68.97	29	9	0	3	89	795	823	1e-04	42.4
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_1:N:0:1	gi|447017698|ref|WP_001094954.1|	68.97	29	9	0	3	89	795	823	1e-04	42.4
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_1:N:0:1	gi|491545106|ref|WP_005402722.1|	65.52	29	10	0	3	89	797	825	5e-04	40.4
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_1:N:0:1	gi|490776655|ref|WP_004638842.1|	65.52	29	10	0	3	89	829	857	6e-04	40.4
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_1:N:0:1	gi|490363781|ref|WP_004243491.1|	65.52	29	10	0	3	89	852	880	0.003	38.5
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_1:N:0:1	gi|491546490|ref|WP_005404105.1|	62.07	29	11	0	3	89	804	832	0.003	38.1
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_1:N:0:1	gi|490408206|ref|WP_004281648.1|	100.00	37	0	0	113	3	19	55	2e-15	74.3
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_1:N:0:1	gi|491543146|ref|WP_005400764.1|	86.49	37	5	0	113	3	19	55	3e-13	67.4
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_1:N:0:1	gi|491157843|ref|WP_005016230.1|	83.33	36	6	0	113	6	19	54	1e-11	62.8
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_1:N:0:1	gi|169797173|ref|YP_001714966.1|	79.41	34	7	0	113	12	19	52	4e-09	55.8
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_1:N:0:1	gi|489750997|ref|WP_003655006.1|	73.53	34	9	0	113	12	19	52	3e-07	50.1
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_1:N:0:1	gi|490775753|ref|WP_004637943.1|	67.65	34	11	0	113	12	19	52	3e-06	47.4
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_1:N:0:1	gi|491546103|ref|WP_005403719.1|	60.00	35	14	0	113	9	19	53	4e-06	47.0
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_1:N:0:1	gi|494179909|ref|WP_007116231.1|	57.14	35	15	0	113	9	14	48	4e-04	41.2
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_1:N:0:1	gi|51874282|ref|YP_073800.1|	66.67	15	5	0	91	47	82	96	1.7	30.4
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_1:N:0:1	gi|360040969|ref|YP_004940104.1|	66.67	15	5	0	91	47	90	104	2.8	29.6
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_1:N:0:1	gi|491541936|ref|WP_005399555.1|	100.00	30	0	0	91	2	85	114	1e-12	65.5
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_1:N:0:1	gi|490406504|ref|WP_004280321.1|	100.00	30	0	0	91	2	85	114	2e-12	65.1
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_1:N:0:1	gi|490777010|ref|WP_004639196.1|	100.00	30	0	0	91	2	85	114	2e-12	64.7
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_1:N:0:1	gi|491545000|ref|WP_005402616.1|	100.00	30	0	0	91	2	85	114	2e-12	64.7
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_1:N:0:1	gi|491916839|ref|WP_005670434.1|	93.33	30	2	0	91	2	85	114	9e-12	62.8
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_1:N:0:1	gi|489748717|ref|WP_003652726.1|	93.33	30	2	0	91	2	85	114	1e-11	62.8
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_1:N:0:1	gi|491434583|ref|WP_005292376.1|	43.48	23	13	0	85	17	165	187	7.7	28.1
+ at M01520:37:000000000-A4TDP:1:1108:18072:12814_1:N:0:1	gi|492539128|ref|WP_005878280.1|	72.97	37	10	0	115	5	315	351	3e-12	64.3
+ at M01520:37:000000000-A4TDP:1:1108:18072:12814_1:N:0:1	gi|491906555|ref|WP_005664079.1|	71.05	38	11	0	118	5	320	357	3e-12	64.3
+ at M01520:37:000000000-A4TDP:1:1108:18072:12814_1:N:0:1	gi|492548632|ref|WP_005882059.1|	75.68	37	9	0	115	5	315	351	3e-12	64.3
+ at M01520:37:000000000-A4TDP:1:1108:18072:12814_1:N:0:1	gi|491159331|ref|WP_005017718.1|	75.00	36	9	0	115	8	317	352	3e-11	61.2
+ at M01520:37:000000000-A4TDP:1:1108:18072:12814_1:N:0:1	gi|489879830|ref|WP_003783300.1|	69.23	39	12	0	118	2	317	355	4e-11	60.8
+ at M01520:37:000000000-A4TDP:1:1108:18072:12814_1:N:0:1	gi|491544021|ref|WP_005401639.1|	75.00	36	9	0	115	8	317	352	5e-11	60.8
+ at M01520:37:000000000-A4TDP:1:1108:18072:12814_1:N:0:1	gi|490407321|ref|WP_004280921.1|	75.00	36	9	0	115	8	317	352	7e-11	60.5
+ at M01520:37:000000000-A4TDP:1:1108:18072:12814_1:N:0:1	gi|488718496|ref|WP_002642372.1|	76.32	38	9	0	115	2	318	355	7e-11	60.5
+ at M01520:37:000000000-A4TDP:1:1108:18072:12814_1:N:0:1	gi|491545838|ref|WP_005403454.1|	75.00	36	9	0	115	8	317	352	2e-10	59.3
+ at M01520:37:000000000-A4TDP:1:1108:18072:12814_1:N:0:1	gi|490775009|ref|WP_004637210.1|	68.42	38	12	0	115	2	317	354	2e-10	58.9
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_1:N:0:1	gi|490405184|ref|WP_004279291.1|	100.00	22	0	0	2	67	383	404	8e-07	48.1
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_1:N:0:1	gi|491160566|ref|WP_005018953.1|	81.82	22	4	0	2	67	383	404	4e-04	40.0
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_1:N:0:1	gi|491125897|ref|WP_004984334.1|	81.82	22	4	0	2	67	383	404	6e-04	39.7
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_1:N:0:1	gi|494104725|ref|WP_007045511.1|	50.00	22	11	0	2	67	383	404	2.1	29.3
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_1:N:0:1	gi|495818640|ref|WP_008543219.1|	59.09	22	9	0	2	67	384	405	2.1	29.3
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_1:N:0:1	gi|330839754|ref|YP_004414334.1|	54.55	22	10	0	2	67	386	407	2.1	29.3
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_1:N:0:1	gi|489093100|ref|WP_003002987.1|	54.55	22	10	0	2	67	386	407	3.5	28.5
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_1:N:0:1	gi|489085841|ref|WP_002995749.1|	54.55	22	10	0	2	67	386	407	3.5	28.5
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_1:N:0:1	gi|490966171|ref|WP_004827973.1|	45.45	22	12	0	2	67	385	406	3.8	28.5
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_1:N:0:1	gi|487913076|ref|WP_001986542.1|	54.55	22	10	0	2	67	399	420	7.2	27.7
+ at M01520:37:000000000-A4TDP:1:1108:6035:23599_1:N:0:1	gi|490818974|ref|WP_004681072.1|	100.00	18	0	0	56	3	12	29	1e-05	43.5
+ at M01520:37:000000000-A4TDP:1:1108:6035:23599_1:N:0:1	gi|384130224|ref|YP_005512836.1|	100.00	18	0	0	56	3	12	29	1e-05	43.5
+ at M01520:37:000000000-A4TDP:1:1108:6035:23599_1:N:0:1	gi|487913892|ref|WP_001987358.1|	100.00	18	0	0	56	3	57	74	1e-05	42.7
+ at M01520:37:000000000-A4TDP:1:1108:6035:23599_1:N:0:1	gi|490408642|ref|WP_004281978.1|	100.00	18	0	0	56	3	20	37	2e-05	43.5
+ at M01520:37:000000000-A4TDP:1:1108:6035:23599_1:N:0:1	gi|491546296|ref|WP_005403911.1|	100.00	18	0	0	56	3	20	37	2e-05	42.7
+ at M01520:37:000000000-A4TDP:1:1108:6035:23599_1:N:0:1	gi|490405526|ref|WP_004279554.1|	72.22	18	5	0	56	3	50	67	0.051	33.5
+ at M01520:37:000000000-A4TDP:1:1108:6035:23599_1:N:0:1	gi|491546646|ref|WP_005404261.1|	70.59	17	5	0	56	6	13	29	0.32	30.4
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_1:N:0:1	gi|169795583|ref|YP_001713376.1|	100.00	39	0	0	3	119	280	318	2e-21	91.3
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_1:N:0:1	gi|184158608|ref|YP_001846947.1|	100.00	39	0	0	3	119	280	318	2e-21	90.9
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_1:N:0:1	gi|490404614|ref|WP_004278837.1|	100.00	39	0	0	3	119	281	319	2e-21	90.9
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_1:N:0:1	gi|491544774|ref|WP_005402391.1|	100.00	39	0	0	3	119	280	318	3e-21	90.5
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_1:N:0:1	gi|489748364|ref|WP_003652373.1|	100.00	39	0	0	3	119	280	318	3e-21	90.5
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_1:N:0:1	gi|490777267|ref|WP_004639453.1|	100.00	39	0	0	3	119	280	318	4e-21	90.5
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_1:N:0:1	gi|491543555|ref|WP_005401173.1|	100.00	39	0	0	3	119	281	319	4e-21	90.5
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_1:N:0:1	gi|491161548|ref|WP_005019935.1|	100.00	39	0	0	3	119	280	318	5e-21	90.1
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_1:N:0:1	gi|489918355|ref|WP_003821719.1|	71.79	39	11	0	3	119	275	313	1e-13	68.9
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_1:N:0:1	gi|496409991|ref|WP_009118855.1|	72.97	37	10	0	9	119	275	311	5e-12	64.3
+ at M01520:37:000000000-A4TDP:1:1111:2378:11773_1:N:0:1	gi|491543291|ref|WP_005400909.1|	100.00	37	0	0	1	111	3	39	5e-17	77.8
+ at M01520:37:000000000-A4TDP:1:1111:2378:11773_1:N:0:1	gi|490404260|ref|WP_004278561.1|	100.00	37	0	0	1	111	3	39	5e-17	77.8
+ at M01520:37:000000000-A4TDP:1:1111:2378:11773_1:N:0:1	gi|487913732|ref|WP_001987198.1|	100.00	36	0	0	1	108	51	86	2e-16	76.3
+ at M01520:37:000000000-A4TDP:1:1111:2378:11773_1:N:0:1	gi|487912331|ref|WP_001985797.1|	100.00	36	0	0	1	108	51	86	2e-16	76.3
+ at M01520:37:000000000-A4TDP:1:1111:2378:11773_1:N:0:1	gi|489750647|ref|WP_003654656.1|	100.00	36	0	0	1	108	3	38	3e-16	75.9
+ at M01520:37:000000000-A4TDP:1:1111:2378:11773_1:N:0:1	gi|491055069|ref|WP_004916716.1|	97.22	36	1	0	1	108	3	38	6e-16	74.7
+ at M01520:37:000000000-A4TDP:1:1111:2378:11773_1:N:0:1	gi|490775547|ref|WP_004637739.1|	97.22	36	1	0	1	108	3	38	7e-16	74.7
+ at M01520:37:000000000-A4TDP:1:1111:2378:11773_1:N:0:1	gi|490406502|ref|WP_004280320.1|	97.22	36	1	0	4	111	4	39	3e-15	72.8
+ at M01520:37:000000000-A4TDP:1:1111:2378:11773_1:N:0:1	gi|491547202|ref|WP_005404817.1|	96.55	29	1	0	22	108	1	29	1e-10	60.1
+ at M01520:37:000000000-A4TDP:1:1111:2378:11773_1:N:0:1	gi|491064033|ref|WP_004925665.1|	78.79	33	7	0	7	105	14	46	2e-10	59.3
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_1:N:0:1	gi|490403931|ref|WP_004278350.1|	100.00	48	0	0	2	145	314	361	1e-10	59.7
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_1:N:0:1	gi|491158107|ref|WP_005016494.1|	81.25	48	9	0	2	145	314	361	4e-06	47.0
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_1:N:0:1	gi|491544085|ref|WP_005401703.1|	75.00	48	12	0	2	145	313	360	6e-06	46.6
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_1:N:0:1	gi|491047326|ref|WP_004908980.1|	77.08	48	11	0	2	145	312	359	8e-06	46.2
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_1:N:0:1	gi|169797240|ref|YP_001715033.1|	79.17	48	10	0	2	145	313	360	2e-05	45.1
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_1:N:0:1	gi|490778625|ref|WP_004640811.1|	77.08	48	11	0	2	145	312	359	5e-05	43.9
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_1:N:0:1	gi|489750874|ref|WP_003654883.1|	77.08	48	11	0	2	145	313	360	1e-04	42.7
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_1:N:0:1	gi|490407804|ref|WP_004281274.1|	96.43	28	1	0	3	86	35	62	9e-10	54.7
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_1:N:0:1	gi|446944461|ref|WP_001021717.1|	60.71	28	11	0	3	86	34	61	0.003	37.0
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_1:N:0:1	gi|446944467|ref|WP_001021723.1|	60.71	28	11	0	3	86	34	61	0.003	37.0
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_1:N:0:1	gi|169794325|ref|YP_001712118.1|	60.71	28	11	0	3	86	34	61	0.003	37.0
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_1:N:0:1	gi|491159389|ref|WP_005017776.1|	57.14	28	12	0	3	86	36	63	0.068	33.1
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_1:N:0:1	gi|489750131|ref|WP_003654140.1|	57.14	28	12	0	3	86	34	61	0.069	33.1
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_1:N:0:1	gi|491545812|ref|WP_005403428.1|	59.09	22	9	0	3	68	35	56	0.38	31.2
+ at M01520:37:000000000-A4TDP:1:1111:24327:16462_1:N:0:1	gi|490405800|ref|WP_004279779.1|	100.00	33	0	0	99	1	143	175	5e-13	66.6
+ at M01520:37:000000000-A4TDP:1:1111:24327:16462_1:N:0:1	gi|491543460|ref|WP_005401078.1|	78.79	33	7	0	99	1	143	175	3e-09	55.8
+ at M01520:37:000000000-A4TDP:1:1111:24327:16462_1:N:0:1	gi|491156247|ref|WP_005014634.1|	66.67	33	11	0	99	1	143	175	0.33	32.3
+ at M01520:37:000000000-A4TDP:1:1111:24327:16462_1:N:0:1	gi|491100473|ref|WP_004962073.1|	60.61	33	13	0	99	1	143	175	4.2	28.9
+ at M01520:37:000000000-A4TDP:1:1111:24327:16462_1:N:0:1	gi|490777050|ref|WP_004639236.1|	60.61	33	13	0	99	1	143	175	6.0	28.5
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_1:N:0:1	gi|491166461|ref|WP_005024831.1|	88.89	36	4	0	2	109	89	124	5e-13	66.2
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_1:N:0:1	gi|491157676|ref|WP_005016063.1|	88.89	36	4	0	2	109	89	124	6e-13	65.9
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_1:N:0:1	gi|169794806|ref|YP_001712599.1|	86.11	36	5	0	2	109	110	145	1e-12	65.5
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_1:N:0:1	gi|489751234|ref|WP_003655241.1|	86.11	36	5	0	2	109	89	124	1e-12	65.1
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_1:N:0:1	gi|184159420|ref|YP_001847759.1|	86.11	36	5	0	2	109	89	124	1e-12	64.7
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_1:N:0:1	gi|490408275|ref|WP_004281703.1|	86.11	36	5	0	2	109	89	124	6e-12	63.2
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_1:N:0:1	gi|490778510|ref|WP_004640696.1|	83.33	36	6	0	2	109	89	124	2e-11	61.6
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_1:N:0:1	gi|491542622|ref|WP_005400241.1|	80.56	36	7	0	2	109	89	124	3e-11	61.2
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_1:N:0:1	gi|491047177|ref|WP_004908831.1|	83.33	36	6	0	2	109	89	124	3e-11	60.8
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_1:N:0:1	gi|491439394|ref|WP_005297187.1|	80.56	36	7	0	2	109	96	131	5e-11	60.5
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_1:N:0:1	gi|169797119|ref|YP_001714912.1|	75.00	36	8	1	3	110	87	121	1e-09	56.2
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_1:N:0:1	gi|213156474|ref|YP_002318135.1|	72.22	36	9	1	3	110	87	121	9e-09	53.9
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_1:N:0:1	gi|490405012|ref|WP_004279153.1|	79.41	34	6	1	9	110	89	121	1e-08	53.9
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_1:N:0:1	gi|491542591|ref|WP_005400210.1|	79.41	34	6	1	9	110	90	122	1e-08	53.9
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_1:N:0:1	gi|489751842|ref|WP_003655846.1|	72.22	36	9	1	3	110	87	121	1e-08	53.5
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_1:N:0:1	gi|490775814|ref|WP_004638003.1|	74.29	35	8	1	6	110	88	121	1e-08	53.5
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_1:N:0:1	gi|491545586|ref|WP_005403202.1|	72.22	36	9	1	3	110	87	121	1e-08	53.5
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_1:N:0:1	gi|491160180|ref|WP_005018567.1|	72.22	36	9	1	3	110	87	121	2e-08	53.1
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_1:N:0:1	gi|490746779|ref|WP_004609087.1|	65.71	35	11	1	6	110	77	110	2e-07	49.7
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_1:N:0:1	gi|492746944|ref|WP_005947101.1|	68.57	35	10	1	6	110	78	111	5e-07	48.9
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_1:N:0:1	gi|490404958|ref|WP_004279114.1|	87.23	47	6	0	3	143	84	130	1e-21	90.5
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_1:N:0:1	gi|491542104|ref|WP_005399723.1|	72.34	47	13	0	3	143	84	130	5e-17	77.8
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_1:N:0:1	gi|446781132|ref|WP_000858388.1|	71.11	45	12	1	9	143	86	129	1e-13	68.6
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_1:N:0:1	gi|169632714|ref|YP_001706450.1|	71.11	45	12	1	9	143	86	129	1e-13	68.6
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_1:N:0:1	gi|491546795|ref|WP_005404410.1|	65.22	46	16	0	6	143	85	130	2e-13	68.2
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_1:N:0:1	gi|489746211|ref|WP_003650229.1|	66.67	45	14	1	9	143	86	129	2e-12	65.1
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_1:N:0:1	gi|490779628|ref|WP_004641814.1|	64.44	45	16	0	9	143	86	130	3e-12	64.3
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_1:N:0:1	gi|491545388|ref|WP_005403004.1|	62.22	45	17	0	9	143	86	130	1e-11	62.8
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_1:N:0:1	gi|490377183|ref|WP_004256782.1|	51.52	33	16	0	12	110	89	121	0.007	37.7
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_1:N:0:1	gi|493866100|ref|WP_006812759.1|	48.48	33	17	0	12	110	89	121	0.019	36.2
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_1:N:0:1	gi|490405933|ref|WP_004279888.1|	100.00	34	0	0	2	103	127	160	5e-14	68.6
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_1:N:0:1	gi|169795679|ref|YP_001713472.1|	88.24	34	4	0	2	103	112	145	4e-12	63.2
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_1:N:0:1	gi|490776796|ref|WP_004638983.1|	88.24	34	4	0	2	103	112	145	4e-12	63.2
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_1:N:0:1	gi|491092953|ref|WP_004954561.1|	88.24	34	4	0	2	103	112	145	5e-12	63.2
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_1:N:0:1	gi|489748179|ref|WP_003652188.1|	88.24	34	4	0	2	103	112	145	5e-12	62.8
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_1:N:0:1	gi|491543405|ref|WP_005401023.1|	88.24	34	4	0	2	103	112	145	7e-12	62.4
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_1:N:0:1	gi|491156236|ref|WP_005014623.1|	82.35	34	6	0	2	103	112	145	3e-11	60.8
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_1:N:0:1	gi|491914471|ref|WP_005668494.1|	50.00	32	16	0	2	97	115	146	6.0	28.5
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_1:N:0:1	gi|490407808|ref|WP_004281278.1|	97.22	36	1	0	1	108	295	330	4e-15	71.6
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_1:N:0:1	gi|491543865|ref|WP_005401483.1|	91.67	36	3	0	1	108	295	330	4e-14	68.6
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_1:N:0:1	gi|491545807|ref|WP_005403423.1|	86.11	36	5	0	1	108	295	330	3e-12	63.5
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_1:N:0:1	gi|494179420|ref|WP_007116006.1|	80.56	36	7	0	1	108	295	330	6e-12	62.8
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_1:N:0:1	gi|490779423|ref|WP_004641609.1|	83.33	36	6	0	1	108	295	330	1e-11	61.6
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_1:N:0:1	gi|493254110|ref|WP_006221283.1|	72.22	36	10	0	1	108	310	345	3e-09	55.1
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_1:N:0:1	gi|493430521|ref|WP_006386131.1|	72.22	36	10	0	1	108	310	345	4e-09	55.1
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_1:N:0:1	gi|491104116|ref|WP_004965547.1|	66.67	36	12	0	1	108	299	334	1e-08	53.9
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_1:N:0:1	gi|493863890|ref|WP_006810618.1|	66.67	36	12	0	1	108	299	334	1e-08	53.5
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_1:N:0:1	gi|491912418|ref|WP_005667079.1|	55.56	36	16	0	1	108	296	331	2e-06	47.8
+ at M01520:37:000000000-A4TDP:1:2102:14203:6934_1:N:0:1	gi|489751520|ref|WP_003655525.1|	89.19	37	4	0	112	2	73	109	2e-15	70.1
+ at M01520:37:000000000-A4TDP:1:2102:14203:6934_1:N:0:1	gi|169797643|ref|YP_001715436.1|	89.19	37	4	0	112	2	73	109	3e-15	69.7
+ at M01520:37:000000000-A4TDP:1:2102:14203:6934_1:N:0:1	gi|490407454|ref|WP_004280998.1|	89.19	37	4	0	112	2	73	109	3e-15	69.7
+ at M01520:37:000000000-A4TDP:1:2102:14203:6934_1:N:0:1	gi|490775293|ref|WP_004637489.1|	89.19	37	4	0	112	2	73	109	4e-15	69.3
+ at M01520:37:000000000-A4TDP:1:2102:14203:6934_1:N:0:1	gi|491043874|ref|WP_004905537.1|	86.49	37	5	0	112	2	73	109	9e-15	68.2
+ at M01520:37:000000000-A4TDP:1:2102:14203:6934_1:N:0:1	gi|491544273|ref|WP_005401890.1|	86.49	37	5	0	112	2	73	109	1e-14	67.8
+ at M01520:37:000000000-A4TDP:1:2102:14203:6934_1:N:0:1	gi|491158886|ref|WP_005017273.1|	81.08	37	7	0	112	2	73	109	7e-14	65.9
+ at M01520:37:000000000-A4TDP:1:2102:14203:6934_1:N:0:1	gi|494178843|ref|WP_007115826.1|	78.38	37	8	0	112	2	73	109	3e-12	61.2
+ at M01520:37:000000000-A4TDP:1:2102:14203:6934_1:N:0:1	gi|493248867|ref|WP_006217064.1|	67.57	37	12	0	112	2	73	109	5e-08	49.7
+ at M01520:37:000000000-A4TDP:1:2102:14203:6934_1:N:0:1	gi|493431169|ref|WP_006386769.1|	67.57	37	12	0	112	2	73	109	1e-07	48.9
+ at M01520:37:000000000-A4TDP:1:2102:12182:18402_1:N:0:1	gi|490407463|ref|WP_004281005.1|	100.00	44	0	0	132	1	23	66	2e-23	92.8
+ at M01520:37:000000000-A4TDP:1:2102:12182:18402_1:N:0:1	gi|491544414|ref|WP_005402031.1|	97.73	44	1	0	132	1	23	66	1e-22	91.3
+ at M01520:37:000000000-A4TDP:1:2102:12182:18402_1:N:0:1	gi|494179959|ref|WP_007116247.1|	97.73	44	1	0	132	1	45	88	3e-22	90.9
+ at M01520:37:000000000-A4TDP:1:2102:12182:18402_1:N:0:1	gi|487912824|ref|WP_001986290.1|	97.73	44	1	0	132	1	27	70	3e-22	90.9
+ at M01520:37:000000000-A4TDP:1:2102:12182:18402_1:N:0:1	gi|446250938|ref|WP_000328793.1|	97.73	44	1	0	132	1	60	103	3e-22	90.9
+ at M01520:37:000000000-A4TDP:1:2102:12182:18402_1:N:0:1	gi|490405705|ref|WP_004279703.1|	95.45	44	2	0	132	1	40	83	4e-22	90.1
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_1:N:0:1	gi|490403819|ref|WP_004278258.1|	100.00	45	0	0	136	2	410	454	2e-24	  100
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_1:N:0:1	gi|491543118|ref|WP_005400736.1|	91.11	45	4	0	136	2	411	455	2e-22	94.4
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_1:N:0:1	gi|491157759|ref|WP_005016146.1|	84.44	45	7	0	136	2	409	453	2e-20	88.6
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_1:N:0:1	gi|489751057|ref|WP_003655066.1|	84.44	45	7	0	136	2	413	457	2e-20	88.6
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_1:N:0:1	gi|184156936|ref|YP_001845275.1|	82.22	45	8	0	136	2	413	457	7e-20	87.0
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_1:N:0:1	gi|169797137|ref|YP_001714930.1|	82.22	45	8	0	136	2	413	457	7e-20	87.0
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_1:N:0:1	gi|490775793|ref|WP_004637982.1|	82.22	45	8	0	136	2	411	455	3e-19	85.5
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_1:N:0:1	gi|491546130|ref|WP_005403745.1|	82.22	45	8	0	136	2	411	455	3e-19	85.1
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_1:N:0:1	gi|494179686|ref|WP_007116129.1|	63.27	49	14	1	136	2	424	472	8e-13	67.0
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_1:N:0:1	gi|490367201|ref|WP_004246865.1|	62.22	45	17	0	136	2	434	478	9e-12	63.9
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_1:N:0:1	gi|490404619|ref|WP_004278841.1|	100.00	32	0	0	1	96	41	72	9e-13	63.9
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_1:N:0:1	gi|491543552|ref|WP_005401170.1|	75.00	32	8	0	1	96	56	87	8e-09	53.5
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_1:N:0:1	gi|489748369|ref|WP_003652378.1|	71.88	32	9	0	1	96	40	71	2e-08	52.0
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_1:N:0:1	gi|447012201|ref|WP_001089457.1|	68.75	32	10	0	1	96	40	71	4e-08	51.2
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_1:N:0:1	gi|184158611|ref|YP_001846950.1|	68.75	32	10	0	1	96	40	71	5e-08	51.2
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_1:N:0:1	gi|491544770|ref|WP_005402387.1|	74.19	31	8	0	1	93	40	70	7e-08	50.8
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_1:N:0:1	gi|491161544|ref|WP_005019931.1|	75.00	32	8	0	1	96	43	74	8e-07	47.8
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_1:N:0:1	gi|490777273|ref|WP_004639459.1|	71.88	32	9	0	1	96	40	71	2e-06	46.6
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_1:N:0:1	gi|397669637|ref|YP_006511172.1|	59.38	32	13	0	1	96	80	111	0.006	37.0
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_1:N:0:1	gi|491425121|ref|WP_005282916.1|	53.33	30	14	0	4	93	35	64	0.007	36.6
+ at M01520:37:000000000-A4TDP:1:2104:14010:14660_1:N:0:1	gi|490409052|ref|WP_004282308.1|	100.00	36	0	0	110	3	41	76	6e-18	79.7
+ at M01520:37:000000000-A4TDP:1:2104:14010:14660_1:N:0:1	gi|491544084|ref|WP_005401702.1|	88.89	36	4	0	110	3	25	60	1e-14	70.9
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_1:N:0:1	gi|490407634|ref|WP_004281139.1|	100.00	46	0	0	138	1	663	708	5e-25	  101
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_1:N:0:1	gi|491165832|ref|WP_005024203.1|	95.65	46	2	0	138	1	663	708	1e-23	97.8
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_1:N:0:1	gi|491543738|ref|WP_005401356.1|	93.48	46	3	0	138	1	663	708	1e-23	97.8
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_1:N:0:1	gi|446659317|ref|WP_000736663.1|	93.48	46	3	0	138	1	668	713	2e-23	97.4
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_1:N:0:1	gi|384144826|ref|YP_005527536.1|	93.48	46	3	0	138	1	668	713	2e-23	97.4
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_1:N:0:1	gi|491545714|ref|WP_005403330.1|	93.48	46	3	0	138	1	654	699	3e-23	96.7
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_1:N:0:1	gi|489749807|ref|WP_003653816.1|	91.30	46	4	0	138	1	669	714	4e-23	96.3
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_1:N:0:1	gi|491547638|ref|WP_005405253.1|	93.48	46	3	0	138	1	663	708	4e-23	96.3
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_1:N:0:1	gi|490779143|ref|WP_004641329.1|	93.48	46	3	0	138	1	674	719	7e-23	95.5
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_1:N:0:1	gi|494180297|ref|WP_007116391.1|	73.91	46	12	0	138	1	743	788	3e-15	73.9
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_1:N:0:1	gi|490404201|ref|WP_004278514.1|	97.73	44	1	0	132	1	124	167	4e-24	95.9
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_1:N:0:1	gi|491158403|ref|WP_005016790.1|	81.82	44	8	0	132	1	122	165	6e-21	87.0
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_1:N:0:1	gi|493736599|ref|WP_006685801.1|	50.00	42	20	1	132	7	121	161	2e-06	47.4
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_1:N:0:1	gi|157157662|ref|YP_001461524.1|	50.00	42	20	1	132	7	121	161	3e-06	47.0
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_1:N:0:1	gi|312140852|ref|YP_004008188.1|	40.00	35	21	0	114	10	126	160	0.003	38.5
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_1:N:0:1	gi|489944983|ref|WP_003848290.1|	38.64	44	27	0	132	1	121	164	0.009	37.0
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_1:N:0:1	gi|491655480|ref|WP_005512200.1|	34.09	44	29	0	132	1	121	164	0.021	35.8
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_1:N:0:1	gi|493428549|ref|WP_006384206.1|	59.26	27	11	0	96	16	138	164	0.028	35.4
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_1:N:0:1	gi|489884608|ref|WP_003788058.1|	30.00	40	26	1	114	1	22	61	1.2	30.0
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_1:N:0:1	gi|496406493|ref|WP_009115357.1|	51.85	27	13	0	14	94	34	60	2.6	29.6
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_1:N:0:1	gi|490408952|ref|WP_004282226.1|	100.00	31	0	0	95	3	70	100	1e-12	64.3
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_1:N:0:1	gi|490408960|ref|WP_004282234.1|	100.00	31	0	0	95	3	70	100	1e-12	64.3
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_1:N:0:1	gi|490408998|ref|WP_004282272.1|	96.77	31	1	0	95	3	70	100	4e-12	62.8
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_1:N:0:1	gi|490408989|ref|WP_004282263.1|	96.77	31	1	0	95	3	70	100	4e-12	62.8
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_1:N:0:1	gi|490779643|ref|WP_004641829.1|	87.10	31	4	0	95	3	70	100	2e-10	58.2
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_1:N:0:1	gi|490408975|ref|WP_004282249.1|	87.10	31	4	0	95	3	96	126	2e-10	58.2
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_1:N:0:1	gi|491544380|ref|WP_005401997.1|	87.10	31	4	0	95	3	123	153	3e-10	57.8
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_1:N:0:1	gi|490408985|ref|WP_004282259.1|	87.10	31	4	0	95	3	115	145	3e-10	57.8
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_1:N:0:1	gi|491546407|ref|WP_005404022.1|	56.67	30	13	0	95	6	73	102	0.002	36.2
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_1:N:0:1	gi|490779704|ref|WP_004641890.1|	60.00	30	12	0	95	6	86	115	0.010	36.6
+ at M01520:37:000000000-A4TDP:1:2107:8046:19013_1:N:0:1	gi|491160929|ref|WP_005019316.1|	93.18	44	3	0	2	133	68	111	5e-22	87.4
+ at M01520:37:000000000-A4TDP:1:2107:8046:19013_1:N:0:1	gi|491546797|ref|WP_005404412.1|	93.18	44	3	0	2	133	71	114	7e-22	87.4
+ at M01520:37:000000000-A4TDP:1:2107:8046:19013_1:N:0:1	gi|490404953|ref|WP_004279110.1|	97.73	44	1	0	2	133	87	130	1e-21	87.0
+ at M01520:37:000000000-A4TDP:1:2107:8046:19013_1:N:0:1	gi|491542102|ref|WP_005399721.1|	93.18	44	3	0	2	133	75	118	2e-21	86.3
+ at M01520:37:000000000-A4TDP:1:2107:8046:19013_1:N:0:1	gi|169795062|ref|YP_001712855.1|	90.91	44	4	0	2	133	96	139	4e-21	85.9
+ at M01520:37:000000000-A4TDP:1:2107:8046:19013_1:N:0:1	gi|169632718|ref|YP_001706454.1|	90.91	44	4	0	2	133	96	139	4e-21	85.9
+ at M01520:37:000000000-A4TDP:1:2107:8046:19013_1:N:0:1	gi|489746215|ref|WP_003650233.1|	90.91	44	4	0	2	133	96	139	4e-21	85.9
+ at M01520:37:000000000-A4TDP:1:2107:8046:19013_1:N:0:1	gi|491051915|ref|WP_004913566.1|	90.91	44	4	0	2	133	68	111	8e-21	84.3
+ at M01520:37:000000000-A4TDP:1:2107:8046:19013_1:N:0:1	gi|490777914|ref|WP_004640100.1|	90.91	44	4	0	2	133	68	111	2e-20	83.2
+ at M01520:37:000000000-A4TDP:1:2107:8046:19013_1:N:0:1	gi|490319886|ref|WP_004209371.1|	37.50	40	25	0	8	127	87	126	0.015	35.4
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_1:N:0:1	gi|490404533|ref|WP_004278771.1|	100.00	38	0	0	1	114	290	327	3e-16	75.1
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_1:N:0:1	gi|169795529|ref|YP_001713322.1|	92.11	38	3	0	1	114	290	327	2e-14	70.1
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_1:N:0:1	gi|446525128|ref|WP_000602474.1|	92.11	38	3	0	1	114	290	327	2e-14	70.1
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_1:N:0:1	gi|491156402|ref|WP_005014789.1|	89.47	38	4	0	1	114	290	327	2e-14	69.7
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_1:N:0:1	gi|491543084|ref|WP_005400702.1|	86.84	38	5	0	1	114	290	327	9e-14	68.2
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_1:N:0:1	gi|489748440|ref|WP_003652449.1|	86.84	38	5	0	1	114	290	327	2e-13	67.4
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_1:N:0:1	gi|491906960|ref|WP_005664326.1|	78.95	38	8	0	1	114	294	331	8e-12	62.8
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_1:N:0:1	gi|491155881|ref|WP_005014268.1|	76.32	38	9	0	1	114	290	327	5e-10	57.4
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_1:N:0:1	gi|490775243|ref|WP_004637440.1|	73.68	38	10	0	1	114	290	327	3e-09	55.5
+ at M01520:37:000000000-A4TDP:1:2109:19300:7382_1:N:0:1	gi|447083511|ref|WP_001160767.1|	73.68	38	10	0	1	114	290	327	4e-09	55.1
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_1:N:0:1	gi|490783215|ref|WP_004645384.1|	100.00	34	0	0	1	102	136	169	7e-17	74.7
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_1:N:0:1	gi|490409147|ref|WP_004282335.1|	100.00	34	0	0	1	102	136	169	1e-16	73.9
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_1:N:0:1	gi|491050429|ref|WP_004912080.1|	91.18	34	3	0	1	102	136	169	9e-16	72.0
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_1:N:0:1	gi|491472859|ref|WP_005330612.1|	78.79	33	7	0	4	102	137	169	2e-11	59.7
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_1:N:0:1	gi|489881840|ref|WP_003785293.1|	73.53	34	9	0	1	102	21	54	9e-11	57.4
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_1:N:0:1	gi|490409189|ref|WP_004282350.1|	70.59	34	10	0	1	102	45	78	1e-09	53.9
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_1:N:0:1	gi|488717846|ref|WP_002641722.1|	52.94	34	16	0	1	102	139	172	2e-06	46.2
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_1:N:0:1	gi|488717280|ref|WP_002641156.1|	52.94	34	16	0	1	102	139	172	2e-06	46.2
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_1:N:0:1	gi|488717975|ref|WP_002641851.1|	52.94	34	16	0	1	102	50	83	4e-06	44.7
+ at M01520:37:000000000-A4TDP:1:2109:14149:15542_1:N:0:1	gi|488718810|ref|WP_002642686.1|	50.00	34	17	0	1	102	139	172	2e-05	43.5
+ at M01520:37:000000000-A4TDP:1:2110:13096:20838_1:N:0:1	gi|490779735|ref|WP_004641921.1|	88.57	35	4	0	106	2	16	50	3e-13	63.5
+ at M01520:37:000000000-A4TDP:1:2110:13096:20838_1:N:0:1	gi|490408778|ref|WP_004282080.1|	88.57	35	4	0	106	2	16	50	4e-13	62.8
+ at M01520:37:000000000-A4TDP:1:2110:13096:20838_1:N:0:1	gi|491035233|ref|WP_004896911.1|	88.57	35	4	0	106	2	16	50	4e-13	62.8
+ at M01520:37:000000000-A4TDP:1:2110:13096:20838_1:N:0:1	gi|491544376|ref|WP_005401993.1|	77.14	35	8	0	106	2	16	50	5e-11	57.4
+ at M01520:37:000000000-A4TDP:1:2110:13096:20838_1:N:0:1	gi|493868618|ref|WP_006815208.1|	43.75	32	18	0	97	2	17	48	0.19	30.8
+ at M01520:37:000000000-A4TDP:1:2110:13096:20838_1:N:0:1	gi|490374626|ref|WP_004254227.1|	43.75	32	18	0	97	2	21	52	0.39	30.4
+ at M01520:37:000000000-A4TDP:1:2110:13096:20838_1:N:0:1	gi|26251283|ref|NP_757323.1|	45.83	24	13	0	73	2	25	48	2.9	27.7
+ at M01520:37:000000000-A4TDP:1:2110:13096:20838_1:N:0:1	gi|491043899|ref|WP_004905562.1|	40.91	22	13	0	67	2	31	52	5.0	27.3
+ at M01520:37:000000000-A4TDP:1:2110:13096:20838_1:N:0:1	gi|498382561|ref|WP_010696717.1|	42.86	35	20	0	106	2	22	56	5.2	27.3
+ at M01520:37:000000000-A4TDP:1:2110:13096:20838_1:N:0:1	gi|488766388|ref|WP_002689588.1|	40.00	35	21	0	106	2	22	56	7.4	26.9
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_1:N:0:1	gi|490407900|ref|WP_004281365.1|	97.56	41	1	0	1	123	40	80	2e-19	83.6
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_1:N:0:1	gi|491543913|ref|WP_005401531.1|	92.68	41	3	0	1	123	41	81	2e-18	80.9
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_1:N:0:1	gi|490779315|ref|WP_004641501.1|	85.37	41	6	0	1	123	41	81	3e-16	74.7
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_1:N:0:1	gi|491159492|ref|WP_005017879.1|	85.00	40	6	0	4	123	43	82	2e-15	72.8
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_1:N:0:1	gi|489750033|ref|WP_003654042.1|	82.93	41	7	0	1	123	46	86	2e-15	72.4
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_1:N:0:1	gi|384144939|ref|YP_005527649.1|	82.93	41	7	0	1	123	41	81	4e-15	72.0
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_1:N:0:1	gi|169794377|ref|YP_001712170.1|	82.93	41	7	0	1	123	48	88	4e-15	72.0
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_1:N:0:1	gi|490738668|ref|WP_004600976.1|	60.98	41	16	0	1	123	43	83	1e-08	53.9
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_1:N:0:1	gi|490040462|ref|WP_003942868.1|	60.98	41	16	0	1	123	47	87	8e-08	51.6
+ at M01520:37:000000000-A4TDP:1:2111:12018:15529_1:N:0:1	gi|326781947|ref|YP_004322349.1|	30.77	39	27	0	121	5	125	163	8.1	28.1
+ at M01520:37:000000000-A4TDP:1:2111:15121:16887_1:N:0:1	gi|446132662|ref|WP_000210517.1|	100.00	49	0	0	3	149	59	107	2e-28	  103
+ at M01520:37:000000000-A4TDP:1:2111:15121:16887_1:N:0:1	gi|491546411|ref|WP_005404026.1|	95.92	49	2	0	3	149	59	107	6e-27	  100
+ at M01520:37:000000000-A4TDP:1:2111:15121:16887_1:N:0:1	gi|490779922|ref|WP_004642108.1|	93.88	49	3	0	3	149	59	107	1e-25	97.1
+ at M01520:37:000000000-A4TDP:1:2111:15121:16887_1:N:0:1	gi|490409054|ref|WP_004282309.1|	91.84	49	4	0	3	149	36	84	8e-25	94.4
+ at M01520:37:000000000-A4TDP:1:2111:15121:16887_1:N:0:1	gi|493433425|ref|WP_006388985.1|	41.67	36	21	0	33	140	77	112	4.7	29.3
+ at M01520:37:000000000-A4TDP:1:2111:15121:16887_1:N:0:1	gi|489102494|ref|WP_003012355.1|	33.33	27	18	0	53	133	45	71	8.9	28.1
+ at M01520:37:000000000-A4TDP:1:2112:6112:16060_1:N:0:1	gi|490405656|ref|WP_004279663.1|	100.00	19	0	0	83	27	273	291	2e-04	41.2
+ at M01520:37:000000000-A4TDP:1:2112:6112:16060_1:N:0:1	gi|493742378|ref|WP_006691459.1|	42.31	26	15	0	84	7	29	54	4.1	26.6
+ at M01520:37:000000000-A4TDP:1:2113:2868:18880_1:N:0:1	gi|490405083|ref|WP_004279210.1|	91.49	47	4	0	2	142	107	153	4e-22	90.5
+ at M01520:37:000000000-A4TDP:1:2113:2868:18880_1:N:0:1	gi|126641650|ref|YP_001084634.1|	65.96	47	16	0	2	142	16	62	4e-15	70.5
+ at M01520:37:000000000-A4TDP:1:2113:2868:18880_1:N:0:1	gi|489747499|ref|WP_003651508.1|	63.83	47	17	0	2	142	106	152	1e-13	67.4
+ at M01520:37:000000000-A4TDP:1:2113:2868:18880_1:N:0:1	gi|491545498|ref|WP_005403114.1|	51.06	47	23	0	2	142	106	152	2e-09	56.2
+ at M01520:37:000000000-A4TDP:1:2113:2868:18880_1:N:0:1	gi|490775924|ref|WP_004638113.1|	48.94	47	24	0	2	142	106	152	2e-07	50.4
+ at M01520:37:000000000-A4TDP:1:2113:2868:18880_1:N:0:1	gi|491909823|ref|WP_005665792.1|	42.55	47	27	0	2	142	34	80	2e-05	44.3
+ at M01520:37:000000000-A4TDP:1:2113:2868:18880_1:N:0:1	gi|490320505|ref|WP_004209990.1|	36.36	44	28	0	2	133	54	97	0.55	31.6
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_1:N:0:1	gi|490406771|ref|WP_004280548.1|	97.06	34	1	0	104	3	93	126	2e-14	70.9
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_1:N:0:1	gi|491542824|ref|WP_005400442.1|	94.12	34	2	0	104	3	93	126	5e-14	69.7
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_1:N:0:1	gi|491157224|ref|WP_005015611.1|	90.62	32	3	0	98	3	95	126	3e-12	64.7
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_1:N:0:1	gi|489746092|ref|WP_003650111.1|	79.41	34	7	0	104	3	93	126	4e-11	61.2
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_1:N:0:1	gi|384144336|ref|YP_005527046.1|	79.41	34	7	0	104	3	93	126	4e-11	61.2
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_1:N:0:1	gi|487913223|ref|WP_001986689.1|	79.41	34	7	0	104	3	93	126	4e-11	61.2
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_1:N:0:1	gi|491094448|ref|WP_004956054.1|	76.47	34	8	0	104	3	93	126	3e-10	58.9
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_1:N:0:1	gi|490778074|ref|WP_004640260.1|	81.25	32	6	0	98	3	95	126	8e-10	57.8
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_1:N:0:1	gi|490646044|ref|WP_004511039.1|	67.65	34	11	0	104	3	93	126	1e-09	57.0
+ at M01520:37:000000000-A4TDP:1:2114:17293:9067_1:N:0:1	gi|494177638|ref|WP_007115458.1|	61.76	34	13	0	104	3	92	125	8e-07	48.9
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_1:N:0:1	gi|490405750|ref|WP_004279739.1|	95.83	48	2	0	3	146	218	265	1e-23	97.8
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_1:N:0:1	gi|491547222|ref|WP_005404837.1|	75.00	48	12	0	3	146	211	258	4e-17	79.3
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_1:N:0:1	gi|491546617|ref|WP_005404232.1|	75.00	48	12	0	3	146	211	258	4e-17	79.3
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_1:N:0:1	gi|491545216|ref|WP_005402832.1|	66.67	48	16	0	3	146	218	265	5e-15	73.2
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_1:N:0:1	gi|489746452|ref|WP_003650469.1|	64.58	48	17	0	3	146	218	265	7e-15	72.8
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_1:N:0:1	gi|491542044|ref|WP_005399663.1|	62.50	48	18	0	3	146	218	265	1e-14	72.4
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_1:N:0:1	gi|384132718|ref|YP_005515330.1|	64.58	48	17	0	3	146	218	265	1e-14	72.0
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_1:N:0:1	gi|169795193|ref|YP_001712986.1|	64.58	48	17	0	3	146	218	265	1e-14	72.0
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_1:N:0:1	gi|490777451|ref|WP_004639637.1|	58.33	48	20	0	3	146	218	265	1e-12	66.2
+ at M01520:37:000000000-A4TDP:1:2114:24305:9883_1:N:0:1	gi|493964102|ref|WP_006907541.1|	41.94	31	18	0	3	95	240	270	0.76	31.6
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_1:N:0:1	gi|490405292|ref|WP_004279373.1|	95.83	24	1	0	1	72	175	198	9e-08	50.8
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_1:N:0:1	gi|491157565|ref|WP_005015952.1|	83.33	24	4	0	1	72	175	198	2e-06	46.6
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_1:N:0:1	gi|490778316|ref|WP_004640502.1|	83.33	24	4	0	1	72	154	177	1e-05	44.7
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_1:N:0:1	gi|491089074|ref|WP_004950684.1|	75.00	24	6	0	1	72	175	198	7e-05	42.4
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_1:N:0:1	gi|489751355|ref|WP_003655361.1|	73.91	23	6	0	1	69	175	197	6e-04	39.7
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_1:N:0:1	gi|213157706|ref|YP_002320504.1|	69.57	23	7	0	1	69	154	176	0.002	38.1
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_1:N:0:1	gi|184159334|ref|YP_001847673.1|	69.57	23	7	0	1	69	154	176	0.002	38.1
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_1:N:0:1	gi|491544054|ref|WP_005401672.1|	62.50	24	9	0	1	72	175	198	0.008	36.2
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_1:N:0:1	gi|491542354|ref|WP_005399973.1|	62.50	24	9	0	1	72	175	198	0.055	33.9
+ at M01520:37:000000000-A4TDP:1:2114:5880:11944_1:N:0:1	gi|184157447|ref|YP_001845786.1|	73.68	19	5	0	13	69	158	176	0.12	33.1
+ at M01520:37:000000000-A4TDP:1:1101:26755:16258_2:N:0:1	gi|490408265|ref|WP_004281694.1|	100.00	49	0	0	149	3	114	162	4e-25	  100
+ at M01520:37:000000000-A4TDP:1:1101:26755:16258_2:N:0:1	gi|491546718|ref|WP_005404333.1|	83.67	49	8	0	149	3	102	150	2e-20	88.2
+ at M01520:37:000000000-A4TDP:1:1101:26755:16258_2:N:0:1	gi|491157703|ref|WP_005016090.1|	83.67	49	8	0	149	3	69	117	2e-20	87.8
+ at M01520:37:000000000-A4TDP:1:1101:26755:16258_2:N:0:1	gi|491542613|ref|WP_005400232.1|	81.63	49	9	0	149	3	113	161	4e-20	87.4
+ at M01520:37:000000000-A4TDP:1:1101:26755:16258_2:N:0:1	gi|213157948|ref|YP_002320746.1|	81.63	49	9	0	149	3	113	161	1e-19	85.9
+ at M01520:37:000000000-A4TDP:1:1101:26755:16258_2:N:0:1	gi|184159510|ref|YP_001847849.1|	81.63	49	9	0	149	3	113	161	1e-19	85.9
+ at M01520:37:000000000-A4TDP:1:1101:26755:16258_2:N:0:1	gi|490778701|ref|WP_004640887.1|	79.59	49	10	0	149	3	113	161	6e-19	84.0
+ at M01520:37:000000000-A4TDP:1:1101:26755:16258_2:N:0:1	gi|489752073|ref|WP_003656075.1|	79.59	49	10	0	149	3	115	163	1e-18	83.2
+ at M01520:37:000000000-A4TDP:1:1101:26755:16258_2:N:0:1	gi|491102601|ref|WP_004964201.1|	75.51	49	12	0	149	3	114	162	8e-18	80.9
+ at M01520:37:000000000-A4TDP:1:1101:26755:16258_2:N:0:1	gi|384143219|ref|YP_005525929.1|	51.02	49	24	0	149	3	94	142	1e-09	57.8
+ at M01520:37:000000000-A4TDP:1:1101:13751:20874_2:N:0:1	gi|490406300|ref|WP_004280154.1|	96.43	28	1	0	1	84	216	243	3e-11	59.7
+ at M01520:37:000000000-A4TDP:1:1101:13751:20874_2:N:0:1	gi|491547367|ref|WP_005404982.1|	74.07	27	7	0	4	84	217	243	1e-07	49.7
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_2:N:0:1	gi|490407309|ref|WP_004280912.1|	100.00	36	0	0	110	3	1	36	1e-17	79.7
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_2:N:0:1	gi|491545841|ref|WP_005403457.1|	53.33	30	14	0	92	3	10	39	9e-04	40.0
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_2:N:0:1	gi|446983975|ref|WP_001061231.1|	50.00	32	14	2	101	12	7	38	0.13	33.5
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_2:N:0:1	gi|490775013|ref|WP_004637214.1|	54.17	24	10	1	71	3	19	42	0.72	31.6
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_2:N:0:1	gi|491906597|ref|WP_005664104.1|	44.44	27	15	0	83	3	14	40	2.7	29.6
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_2:N:0:1	gi|491906669|ref|WP_005664147.1|	40.62	32	19	0	98	3	9	40	2.7	29.6
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_2:N:0:1	gi|38347956|ref|NP_941205.1|	46.88	32	16	1	107	15	6	37	2.9	29.6
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_2:N:0:1	gi|310831412|ref|YP_003970055.1|	66.67	15	5	0	113	69	219	233	8.1	27.7
+ at M01520:37:000000000-A4TDP:1:1103:8663:16662_2:N:0:1	gi|493646578|ref|WP_006598184.1|	54.17	24	9	1	83	18	4	27	8.2	28.1
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_2:N:0:1	gi|490409057|ref|WP_004282311.1|	93.33	45	3	0	1	135	85	129	2e-09	54.7
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_2:N:0:1	gi|490409059|ref|WP_004282312.1|	91.11	45	4	0	1	135	117	161	9e-09	52.4
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_2:N:0:1	gi|491546179|ref|WP_005403794.1|	88.89	45	5	0	1	135	76	120	1e-08	54.3
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_2:N:0:1	gi|491544401|ref|WP_005402018.1|	91.11	45	4	0	1	135	55	99	6e-08	52.4
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_2:N:0:1	gi|491546413|ref|WP_005404028.1|	91.11	45	4	0	1	135	55	99	8e-08	52.0
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_2:N:0:1	gi|490779841|ref|WP_004642027.1|	94.29	35	2	0	31	135	1	35	0.016	36.6
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_2:N:0:1	gi|446564708|ref|WP_000642054.1|	87.10	31	4	0	43	135	1	31	1.3	30.8
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_2:N:0:1	gi|491544665|ref|WP_005402282.1|	40.62	32	18	1	129	37	1	32	3.1	29.3
+ at M01520:37:000000000-A4TDP:1:1103:22450:22563_2:N:0:1	gi|447017162|ref|WP_001094418.1|	100.00	13	0	0	1	39	85	97	4.4	27.7
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_2:N:0:1	gi|490405915|ref|WP_004279874.1|	100.00	41	0	0	123	1	83	123	3e-20	83.6
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_2:N:0:1	gi|491543415|ref|WP_005401033.1|	80.49	41	8	0	123	1	123	163	2e-15	71.2
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_2:N:0:1	gi|491156215|ref|WP_005014602.1|	58.54	41	17	0	123	1	82	122	2e-10	57.0
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_2:N:0:1	gi|491544788|ref|WP_005402405.1|	60.98	41	16	0	123	1	81	121	2e-09	53.9
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_2:N:0:1	gi|126642008|ref|YP_001084992.1|	56.10	41	18	0	123	1	83	123	3e-09	53.5
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_2:N:0:1	gi|489748161|ref|WP_003652170.1|	53.66	41	19	0	123	1	83	123	6e-09	52.8
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_2:N:0:1	gi|490777236|ref|WP_004639422.1|	58.54	41	17	0	123	1	81	121	0.002	37.7
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_2:N:0:1	gi|491106449|ref|WP_004966274.1|	38.10	42	24	1	120	1	70	111	0.016	35.0
+ at M01520:37:000000000-A4TDP:1:1104:14011:3217_2:N:0:1	gi|496433470|ref|WP_009142317.1|	40.48	42	23	1	120	1	78	119	3.0	28.9
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_2:N:0:1	gi|490405867|ref|WP_004279834.1|	100.00	29	0	0	87	1	797	825	5e-10	58.2
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_2:N:0:1	gi|491543590|ref|WP_005401208.1|	72.41	29	8	0	87	1	797	825	4e-05	43.9
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_2:N:0:1	gi|487913508|ref|WP_001986974.1|	68.97	29	9	0	87	1	795	823	1e-04	42.7
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_2:N:0:1	gi|489747407|ref|WP_003651417.1|	68.97	29	9	0	87	1	800	828	1e-04	42.4
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_2:N:0:1	gi|384142982|ref|YP_005525692.1|	68.97	29	9	0	87	1	795	823	1e-04	42.4
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_2:N:0:1	gi|447017698|ref|WP_001094954.1|	68.97	29	9	0	87	1	795	823	1e-04	42.4
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_2:N:0:1	gi|491545106|ref|WP_005402722.1|	65.52	29	10	0	87	1	797	825	5e-04	40.4
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_2:N:0:1	gi|490776655|ref|WP_004638842.1|	65.52	29	10	0	87	1	829	857	6e-04	40.4
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_2:N:0:1	gi|490363781|ref|WP_004243491.1|	65.52	29	10	0	87	1	852	880	0.003	38.5
+ at M01520:37:000000000-A4TDP:1:1105:11139:13398_2:N:0:1	gi|491546490|ref|WP_005404105.1|	62.07	29	11	0	87	1	804	832	0.003	38.1
+ at M01520:37:000000000-A4TDP:1:1105:19380:27415_2:N:0:1	gi|490403959|ref|WP_004278372.1|	93.88	49	3	0	3	149	480	528	2e-25	  103
+ at M01520:37:000000000-A4TDP:1:1105:19380:27415_2:N:0:1	gi|490775699|ref|WP_004637889.1|	89.80	49	5	0	3	149	481	529	1e-24	  100
+ at M01520:37:000000000-A4TDP:1:1105:19380:27415_2:N:0:1	gi|489750939|ref|WP_003654948.1|	89.80	49	5	0	3	149	481	529	2e-24	  100
+ at M01520:37:000000000-A4TDP:1:1105:19380:27415_2:N:0:1	gi|169797225|ref|YP_001715018.1|	89.80	49	5	0	3	149	481	529	2e-24	  100
+ at M01520:37:000000000-A4TDP:1:1105:19380:27415_2:N:0:1	gi|491158011|ref|WP_005016398.1|	87.76	49	6	0	3	149	480	528	5e-24	99.0
+ at M01520:37:000000000-A4TDP:1:1105:19380:27415_2:N:0:1	gi|491546054|ref|WP_005403670.1|	87.76	49	6	0	3	149	481	529	1e-23	97.8
+ at M01520:37:000000000-A4TDP:1:1105:19380:27415_2:N:0:1	gi|490835563|ref|WP_004697645.1|	85.71	49	7	0	3	149	480	528	2e-23	97.1
+ at M01520:37:000000000-A4TDP:1:1105:19380:27415_2:N:0:1	gi|496410980|ref|WP_009119844.1|	71.43	49	14	0	3	149	480	528	2e-17	80.1
+ at M01520:37:000000000-A4TDP:1:1105:19380:27415_2:N:0:1	gi|489890686|ref|WP_003794136.1|	71.43	49	14	0	3	149	478	526	2e-17	80.1
+ at M01520:37:000000000-A4TDP:1:1105:19380:27415_2:N:0:1	gi|489840189|ref|WP_003743894.1|	69.39	49	15	0	3	149	481	529	4e-17	79.3
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_2:N:0:1	gi|490408206|ref|WP_004281648.1|	100.00	37	0	0	2	112	19	55	2e-15	74.3
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_2:N:0:1	gi|491543146|ref|WP_005400764.1|	86.49	37	5	0	2	112	19	55	3e-13	67.4
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_2:N:0:1	gi|491157843|ref|WP_005016230.1|	83.33	36	6	0	2	109	19	54	1e-11	62.8
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_2:N:0:1	gi|169797173|ref|YP_001714966.1|	79.41	34	7	0	2	103	19	52	4e-09	55.8
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_2:N:0:1	gi|489750997|ref|WP_003655006.1|	73.53	34	9	0	2	103	19	52	3e-07	50.1
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_2:N:0:1	gi|490775753|ref|WP_004637943.1|	67.65	34	11	0	2	103	19	52	3e-06	47.4
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_2:N:0:1	gi|491546103|ref|WP_005403719.1|	60.00	35	14	0	2	106	19	53	4e-06	47.0
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_2:N:0:1	gi|494179909|ref|WP_007116231.1|	57.14	35	15	0	2	106	14	48	4e-04	41.2
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_2:N:0:1	gi|51874282|ref|YP_073800.1|	66.67	15	5	0	24	68	82	96	1.7	30.4
+ at M01520:37:000000000-A4TDP:1:1107:22910:3813_2:N:0:1	gi|360040969|ref|YP_004940104.1|	66.67	15	5	0	24	68	90	104	2.8	29.6
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_2:N:0:1	gi|491541936|ref|WP_005399555.1|	100.00	30	0	0	1	90	85	114	1e-12	65.5
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_2:N:0:1	gi|490406504|ref|WP_004280321.1|	100.00	30	0	0	1	90	85	114	2e-12	65.1
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_2:N:0:1	gi|490777010|ref|WP_004639196.1|	100.00	30	0	0	1	90	85	114	2e-12	64.7
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_2:N:0:1	gi|491545000|ref|WP_005402616.1|	100.00	30	0	0	1	90	85	114	2e-12	64.7
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_2:N:0:1	gi|491916839|ref|WP_005670434.1|	93.33	30	2	0	1	90	85	114	9e-12	62.8
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_2:N:0:1	gi|489748717|ref|WP_003652726.1|	93.33	30	2	0	1	90	85	114	1e-11	62.8
+ at M01520:37:000000000-A4TDP:1:1108:25231:8131_2:N:0:1	gi|491434583|ref|WP_005292376.1|	43.48	23	13	0	7	75	165	187	7.7	28.1
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_2:N:0:1	gi|490405184|ref|WP_004279291.1|	100.00	22	0	0	66	1	383	404	8e-07	48.1
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_2:N:0:1	gi|491160566|ref|WP_005018953.1|	81.82	22	4	0	66	1	383	404	4e-04	40.0
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_2:N:0:1	gi|491125897|ref|WP_004984334.1|	81.82	22	4	0	66	1	383	404	6e-04	39.7
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_2:N:0:1	gi|494104725|ref|WP_007045511.1|	50.00	22	11	0	66	1	383	404	2.1	29.3
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_2:N:0:1	gi|495818640|ref|WP_008543219.1|	59.09	22	9	0	66	1	384	405	2.1	29.3
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_2:N:0:1	gi|330839754|ref|YP_004414334.1|	54.55	22	10	0	66	1	386	407	2.1	29.3
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_2:N:0:1	gi|489093100|ref|WP_003002987.1|	54.55	22	10	0	66	1	386	407	3.5	28.5
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_2:N:0:1	gi|489085841|ref|WP_002995749.1|	54.55	22	10	0	66	1	386	407	3.5	28.5
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_2:N:0:1	gi|490966171|ref|WP_004827973.1|	45.45	22	12	0	66	1	385	406	3.8	28.5
+ at M01520:37:000000000-A4TDP:1:1108:28355:20431_2:N:0:1	gi|487913076|ref|WP_001986542.1|	54.55	22	10	0	66	1	399	420	7.2	27.7
+ at M01520:37:000000000-A4TDP:1:1108:6035:23599_2:N:0:1	gi|490818974|ref|WP_004681072.1|	100.00	18	0	0	1	54	12	29	1e-05	43.5
+ at M01520:37:000000000-A4TDP:1:1108:6035:23599_2:N:0:1	gi|384130224|ref|YP_005512836.1|	100.00	18	0	0	1	54	12	29	1e-05	43.5
+ at M01520:37:000000000-A4TDP:1:1108:6035:23599_2:N:0:1	gi|487913892|ref|WP_001987358.1|	100.00	18	0	0	1	54	57	74	1e-05	42.7
+ at M01520:37:000000000-A4TDP:1:1108:6035:23599_2:N:0:1	gi|490408642|ref|WP_004281978.1|	100.00	18	0	0	1	54	20	37	2e-05	43.5
+ at M01520:37:000000000-A4TDP:1:1108:6035:23599_2:N:0:1	gi|491546296|ref|WP_005403911.1|	100.00	18	0	0	1	54	20	37	2e-05	42.7
+ at M01520:37:000000000-A4TDP:1:1108:6035:23599_2:N:0:1	gi|490405526|ref|WP_004279554.1|	72.22	18	5	0	1	54	50	67	0.051	33.5
+ at M01520:37:000000000-A4TDP:1:1108:6035:23599_2:N:0:1	gi|491546646|ref|WP_005404261.1|	70.59	17	5	0	1	51	13	29	0.32	30.4
+ at M01520:37:000000000-A4TDP:1:1109:9926:24164_2:N:0:1	gi|490407968|ref|WP_004281433.1|	100.00	30	0	0	3	92	312	341	2e-12	64.3
+ at M01520:37:000000000-A4TDP:1:1109:9926:24164_2:N:0:1	gi|491160024|ref|WP_005018411.1|	93.33	30	2	0	3	92	312	341	4e-11	60.5
+ at M01520:37:000000000-A4TDP:1:1109:9926:24164_2:N:0:1	gi|491543631|ref|WP_005401249.1|	90.00	30	3	0	3	92	312	341	1e-10	59.3
+ at M01520:37:000000000-A4TDP:1:1109:9926:24164_2:N:0:1	gi|491097307|ref|WP_004958909.1|	90.00	30	3	0	3	92	310	339	2e-10	58.9
+ at M01520:37:000000000-A4TDP:1:1109:9926:24164_2:N:0:1	gi|490775649|ref|WP_004637839.1|	90.00	30	3	0	3	92	310	339	2e-10	58.5
+ at M01520:37:000000000-A4TDP:1:1109:9926:24164_2:N:0:1	gi|494181689|ref|WP_007116970.1|	86.21	29	4	0	6	92	319	347	5e-10	57.8
+ at M01520:37:000000000-A4TDP:1:1109:9926:24164_2:N:0:1	gi|489749586|ref|WP_003653595.1|	83.33	30	5	0	3	92	310	339	7e-10	57.0
+ at M01520:37:000000000-A4TDP:1:1109:9926:24164_2:N:0:1	gi|169794647|ref|YP_001712440.1|	83.33	30	5	0	3	92	310	339	8e-10	57.0
+ at M01520:37:000000000-A4TDP:1:1109:9926:24164_2:N:0:1	gi|184159545|ref|YP_001847884.1|	83.33	30	5	0	3	92	310	339	8e-10	57.0
+ at M01520:37:000000000-A4TDP:1:1109:9926:24164_2:N:0:1	gi|490318102|ref|WP_004207598.1|	51.72	29	14	0	3	89	285	313	0.002	38.5
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_2:N:0:1	gi|169795583|ref|YP_001713376.1|	100.00	39	0	0	118	2	280	318	2e-21	91.3
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_2:N:0:1	gi|184158608|ref|YP_001846947.1|	100.00	39	0	0	118	2	280	318	2e-21	90.9
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_2:N:0:1	gi|490404614|ref|WP_004278837.1|	100.00	39	0	0	118	2	281	319	2e-21	90.9
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_2:N:0:1	gi|491544774|ref|WP_005402391.1|	100.00	39	0	0	118	2	280	318	3e-21	90.5
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_2:N:0:1	gi|489748364|ref|WP_003652373.1|	100.00	39	0	0	118	2	280	318	3e-21	90.5
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_2:N:0:1	gi|490777267|ref|WP_004639453.1|	100.00	39	0	0	118	2	280	318	4e-21	90.5
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_2:N:0:1	gi|491543555|ref|WP_005401173.1|	100.00	39	0	0	118	2	281	319	4e-21	90.5
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_2:N:0:1	gi|491161548|ref|WP_005019935.1|	100.00	39	0	0	118	2	280	318	5e-21	90.1
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_2:N:0:1	gi|489918355|ref|WP_003821719.1|	71.79	39	11	0	118	2	275	313	1e-13	68.9
+ at M01520:37:000000000-A4TDP:1:1110:11810:4473_2:N:0:1	gi|496409991|ref|WP_009118855.1|	72.97	37	10	0	112	2	275	311	5e-12	64.3
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_2:N:0:1	gi|490403931|ref|WP_004278350.1|	100.00	48	0	0	144	1	314	361	1e-10	59.7
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_2:N:0:1	gi|491158107|ref|WP_005016494.1|	81.25	48	9	0	144	1	314	361	4e-06	47.0
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_2:N:0:1	gi|491544085|ref|WP_005401703.1|	75.00	48	12	0	144	1	313	360	6e-06	46.6
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_2:N:0:1	gi|491047326|ref|WP_004908980.1|	77.08	48	11	0	144	1	312	359	8e-06	46.2
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_2:N:0:1	gi|169797240|ref|YP_001715033.1|	79.17	48	10	0	144	1	313	360	2e-05	45.1
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_2:N:0:1	gi|490778625|ref|WP_004640811.1|	77.08	48	11	0	144	1	312	359	5e-05	43.9
+ at M01520:37:000000000-A4TDP:1:1111:10381:13520_2:N:0:1	gi|489750874|ref|WP_003654883.1|	77.08	48	11	0	144	1	313	360	1e-04	42.7
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_2:N:0:1	gi|490407804|ref|WP_004281274.1|	96.43	28	1	0	84	1	35	62	9e-10	54.7
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_2:N:0:1	gi|446944461|ref|WP_001021717.1|	60.71	28	11	0	84	1	34	61	0.003	37.0
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_2:N:0:1	gi|446944467|ref|WP_001021723.1|	60.71	28	11	0	84	1	34	61	0.003	37.0
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_2:N:0:1	gi|169794325|ref|YP_001712118.1|	60.71	28	11	0	84	1	34	61	0.003	37.0
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_2:N:0:1	gi|491159389|ref|WP_005017776.1|	57.14	28	12	0	84	1	36	63	0.068	33.1
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_2:N:0:1	gi|489750131|ref|WP_003654140.1|	57.14	28	12	0	84	1	34	61	0.069	33.1
+ at M01520:37:000000000-A4TDP:1:1111:4300:14458_2:N:0:1	gi|491545812|ref|WP_005403428.1|	59.09	22	9	0	84	19	35	56	0.38	31.2
+ at M01520:37:000000000-A4TDP:1:1111:24327:16462_2:N:0:1	gi|490405800|ref|WP_004279779.1|	100.00	33	0	0	1	99	143	175	5e-13	66.6
+ at M01520:37:000000000-A4TDP:1:1111:24327:16462_2:N:0:1	gi|491543460|ref|WP_005401078.1|	78.79	33	7	0	1	99	143	175	3e-09	55.8
+ at M01520:37:000000000-A4TDP:1:1111:24327:16462_2:N:0:1	gi|491156247|ref|WP_005014634.1|	66.67	33	11	0	1	99	143	175	0.33	32.3
+ at M01520:37:000000000-A4TDP:1:1111:24327:16462_2:N:0:1	gi|491100473|ref|WP_004962073.1|	60.61	33	13	0	1	99	143	175	4.2	28.9
+ at M01520:37:000000000-A4TDP:1:1111:24327:16462_2:N:0:1	gi|490777050|ref|WP_004639236.1|	60.61	33	13	0	1	99	143	175	6.0	28.5
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_2:N:0:1	gi|491166461|ref|WP_005024831.1|	88.89	36	4	0	109	2	89	124	5e-13	66.2
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_2:N:0:1	gi|491157676|ref|WP_005016063.1|	88.89	36	4	0	109	2	89	124	6e-13	65.9
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_2:N:0:1	gi|169794806|ref|YP_001712599.1|	86.11	36	5	0	109	2	110	145	1e-12	65.5
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_2:N:0:1	gi|489751234|ref|WP_003655241.1|	86.11	36	5	0	109	2	89	124	1e-12	65.1
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_2:N:0:1	gi|184159420|ref|YP_001847759.1|	86.11	36	5	0	109	2	89	124	1e-12	64.7
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_2:N:0:1	gi|490408275|ref|WP_004281703.1|	86.11	36	5	0	109	2	89	124	6e-12	63.2
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_2:N:0:1	gi|490778510|ref|WP_004640696.1|	83.33	36	6	0	109	2	89	124	2e-11	61.6
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_2:N:0:1	gi|491542622|ref|WP_005400241.1|	80.56	36	7	0	109	2	89	124	3e-11	61.2
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_2:N:0:1	gi|491047177|ref|WP_004908831.1|	83.33	36	6	0	109	2	89	124	3e-11	60.8
+ at M01520:37:000000000-A4TDP:1:1111:9619:17350_2:N:0:1	gi|491439394|ref|WP_005297187.1|	80.56	36	7	0	109	2	96	131	5e-11	60.5
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_2:N:0:1	gi|169797119|ref|YP_001714912.1|	75.00	36	8	1	108	1	87	121	1e-09	56.2
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_2:N:0:1	gi|213156474|ref|YP_002318135.1|	72.22	36	9	1	108	1	87	121	9e-09	53.9
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_2:N:0:1	gi|490405012|ref|WP_004279153.1|	79.41	34	6	1	102	1	89	121	1e-08	53.9
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_2:N:0:1	gi|491542591|ref|WP_005400210.1|	79.41	34	6	1	102	1	90	122	1e-08	53.9
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_2:N:0:1	gi|489751842|ref|WP_003655846.1|	72.22	36	9	1	108	1	87	121	1e-08	53.5
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_2:N:0:1	gi|490775814|ref|WP_004638003.1|	74.29	35	8	1	105	1	88	121	1e-08	53.5
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_2:N:0:1	gi|491545586|ref|WP_005403202.1|	72.22	36	9	1	108	1	87	121	1e-08	53.5
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_2:N:0:1	gi|491160180|ref|WP_005018567.1|	72.22	36	9	1	108	1	87	121	2e-08	53.1
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_2:N:0:1	gi|490746779|ref|WP_004609087.1|	65.71	35	11	1	105	1	77	110	2e-07	49.7
+ at M01520:37:000000000-A4TDP:1:1111:10307:25227_2:N:0:1	gi|492746944|ref|WP_005947101.1|	68.57	35	10	1	105	1	78	111	5e-07	48.9
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_2:N:0:1	gi|490404958|ref|WP_004279114.1|	87.23	47	6	0	141	1	84	130	1e-21	90.5
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_2:N:0:1	gi|491542104|ref|WP_005399723.1|	72.34	47	13	0	141	1	84	130	5e-17	77.8
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_2:N:0:1	gi|446781132|ref|WP_000858388.1|	71.11	45	12	1	135	1	86	129	1e-13	68.6
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_2:N:0:1	gi|169632714|ref|YP_001706450.1|	71.11	45	12	1	135	1	86	129	1e-13	68.6
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_2:N:0:1	gi|491546795|ref|WP_005404410.1|	65.22	46	16	0	138	1	85	130	2e-13	68.2
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_2:N:0:1	gi|489746211|ref|WP_003650229.1|	66.67	45	14	1	135	1	86	129	2e-12	65.1
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_2:N:0:1	gi|490779628|ref|WP_004641814.1|	64.44	45	16	0	135	1	86	130	3e-12	64.3
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_2:N:0:1	gi|491545388|ref|WP_005403004.1|	62.22	45	17	0	135	1	86	130	1e-11	62.8
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_2:N:0:1	gi|490377183|ref|WP_004256782.1|	51.52	33	16	0	132	34	89	121	0.007	37.7
+ at M01520:37:000000000-A4TDP:1:1114:20194:15546_2:N:0:1	gi|493866100|ref|WP_006812759.1|	48.48	33	17	0	132	34	89	121	0.019	36.2
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_2:N:0:1	gi|490405933|ref|WP_004279888.1|	100.00	34	0	0	104	3	127	160	5e-14	68.6
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_2:N:0:1	gi|169795679|ref|YP_001713472.1|	88.24	34	4	0	104	3	112	145	4e-12	63.2
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_2:N:0:1	gi|490776796|ref|WP_004638983.1|	88.24	34	4	0	104	3	112	145	4e-12	63.2
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_2:N:0:1	gi|491092953|ref|WP_004954561.1|	88.24	34	4	0	104	3	112	145	5e-12	63.2
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_2:N:0:1	gi|489748179|ref|WP_003652188.1|	88.24	34	4	0	104	3	112	145	5e-12	62.8
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_2:N:0:1	gi|491543405|ref|WP_005401023.1|	88.24	34	4	0	104	3	112	145	7e-12	62.4
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_2:N:0:1	gi|491156236|ref|WP_005014623.1|	82.35	34	6	0	104	3	112	145	3e-11	60.8
+ at M01520:37:000000000-A4TDP:1:1114:5649:15650_2:N:0:1	gi|491914471|ref|WP_005668494.1|	50.00	32	16	0	104	9	115	146	6.0	28.5
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_2:N:0:1	gi|490407808|ref|WP_004281278.1|	97.22	36	1	0	109	2	295	330	4e-15	71.6
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_2:N:0:1	gi|491543865|ref|WP_005401483.1|	91.67	36	3	0	109	2	295	330	4e-14	68.6
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_2:N:0:1	gi|491545807|ref|WP_005403423.1|	86.11	36	5	0	109	2	295	330	3e-12	63.5
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_2:N:0:1	gi|494179420|ref|WP_007116006.1|	80.56	36	7	0	109	2	295	330	6e-12	62.8
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_2:N:0:1	gi|490779423|ref|WP_004641609.1|	83.33	36	6	0	109	2	295	330	1e-11	61.6
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_2:N:0:1	gi|493254110|ref|WP_006221283.1|	72.22	36	10	0	109	2	310	345	3e-09	55.1
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_2:N:0:1	gi|493430521|ref|WP_006386131.1|	72.22	36	10	0	109	2	310	345	4e-09	55.1
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_2:N:0:1	gi|491104116|ref|WP_004965547.1|	66.67	36	12	0	109	2	299	334	1e-08	53.9
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_2:N:0:1	gi|493863890|ref|WP_006810618.1|	66.67	36	12	0	109	2	299	334	1e-08	53.5
+ at M01520:37:000000000-A4TDP:1:2101:21790:23004_2:N:0:1	gi|491912418|ref|WP_005667079.1|	55.56	36	16	0	109	2	296	331	2e-06	47.8
+ at M01520:37:000000000-A4TDP:1:2102:14979:14560_2:N:0:1	gi|490405325|ref|WP_004279399.1|	100.00	21	0	0	3	65	185	205	2e-06	45.8
+ at M01520:37:000000000-A4TDP:1:2102:14979:14560_2:N:0:1	gi|491160664|ref|WP_005019051.1|	85.00	20	3	0	3	62	185	204	0.001	38.1
+ at M01520:37:000000000-A4TDP:1:2102:14979:14560_2:N:0:1	gi|491542264|ref|WP_005399883.1|	76.19	21	5	0	3	65	185	205	0.002	38.1
+ at M01520:37:000000000-A4TDP:1:2102:14979:14560_2:N:0:1	gi|490776130|ref|WP_004638319.1|	71.43	21	6	0	3	65	185	205	0.003	37.4
+ at M01520:37:000000000-A4TDP:1:2102:14979:14560_2:N:0:1	gi|184157260|ref|YP_001845599.1|	61.90	21	8	0	3	65	185	205	0.045	33.9
+ at M01520:37:000000000-A4TDP:1:2102:14979:14560_2:N:0:1	gi|489749067|ref|WP_003653076.1|	57.14	21	9	0	3	65	185	205	0.075	33.5
+ at M01520:37:000000000-A4TDP:1:2102:14979:14560_2:N:0:1	gi|491101749|ref|WP_004963349.1|	57.14	21	9	0	3	65	185	205	0.16	32.3
+ at M01520:37:000000000-A4TDP:1:2102:14979:14560_2:N:0:1	gi|169796824|ref|YP_001714617.1|	57.14	21	9	0	3	65	185	205	0.32	31.6
+ at M01520:37:000000000-A4TDP:1:2102:14979:14560_2:N:0:1	gi|492454958|ref|WP_005850095.1|	50.00	18	9	0	62	9	503	520	4.0	28.9
+ at M01520:37:000000000-A4TDP:1:2102:14979:14560_2:N:0:1	gi|495129919|ref|WP_007854730.1|	50.00	18	9	0	62	9	503	520	4.7	28.9
+ at M01520:37:000000000-A4TDP:1:2102:12182:18402_2:N:0:1	gi|490407463|ref|WP_004281005.1|	100.00	44	0	0	3	134	23	66	2e-23	92.8
+ at M01520:37:000000000-A4TDP:1:2102:12182:18402_2:N:0:1	gi|491544414|ref|WP_005402031.1|	97.73	44	1	0	3	134	23	66	1e-22	91.3
+ at M01520:37:000000000-A4TDP:1:2102:12182:18402_2:N:0:1	gi|494179959|ref|WP_007116247.1|	97.73	44	1	0	3	134	45	88	3e-22	90.9
+ at M01520:37:000000000-A4TDP:1:2102:12182:18402_2:N:0:1	gi|487912824|ref|WP_001986290.1|	97.73	44	1	0	3	134	27	70	3e-22	90.9
+ at M01520:37:000000000-A4TDP:1:2102:12182:18402_2:N:0:1	gi|446250938|ref|WP_000328793.1|	97.73	44	1	0	3	134	60	103	3e-22	90.9
+ at M01520:37:000000000-A4TDP:1:2102:12182:18402_2:N:0:1	gi|490405705|ref|WP_004279703.1|	95.45	44	2	0	3	134	40	83	4e-22	90.1
+ at M01520:37:000000000-A4TDP:1:2103:8133:16000_2:N:0:1	gi|490404124|ref|WP_004278466.1|	92.68	41	3	0	123	1	50	90	7e-16	75.5
+ at M01520:37:000000000-A4TDP:1:2103:8133:16000_2:N:0:1	gi|491543229|ref|WP_005400847.1|	90.24	41	4	0	123	1	50	90	7e-15	72.8
+ at M01520:37:000000000-A4TDP:1:2103:8133:16000_2:N:0:1	gi|184156771|ref|YP_001845110.1|	82.93	41	7	0	123	1	50	90	9e-13	66.6
+ at M01520:37:000000000-A4TDP:1:2103:8133:16000_2:N:0:1	gi|169797307|ref|YP_001715100.1|	82.93	41	7	0	123	1	50	90	9e-13	66.6
+ at M01520:37:000000000-A4TDP:1:2103:8133:16000_2:N:0:1	gi|489750748|ref|WP_003654757.1|	82.93	41	7	0	123	1	78	118	1e-12	66.6
+ at M01520:37:000000000-A4TDP:1:2103:8133:16000_2:N:0:1	gi|490775622|ref|WP_004637812.1|	78.05	41	9	0	123	1	50	90	2e-11	62.8
+ at M01520:37:000000000-A4TDP:1:2103:8133:16000_2:N:0:1	gi|491158278|ref|WP_005016665.1|	75.61	41	10	0	123	1	50	90	5e-11	61.6
+ at M01520:37:000000000-A4TDP:1:2103:8133:16000_2:N:0:1	gi|491546017|ref|WP_005403633.1|	75.61	41	10	0	123	1	50	90	5e-11	61.6
+ at M01520:37:000000000-A4TDP:1:2103:8133:16000_2:N:0:1	gi|496409485|ref|WP_009118349.1|	52.38	42	20	0	126	1	44	85	3e-06	47.8
+ at M01520:37:000000000-A4TDP:1:2103:8133:16000_2:N:0:1	gi|494041942|ref|WP_006984064.1|	52.63	38	18	0	114	1	52	89	0.001	40.4
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_2:N:0:1	gi|490403819|ref|WP_004278258.1|	100.00	45	0	0	3	137	410	454	2e-24	  100
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_2:N:0:1	gi|491543118|ref|WP_005400736.1|	91.11	45	4	0	3	137	411	455	2e-22	94.4
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_2:N:0:1	gi|491157759|ref|WP_005016146.1|	84.44	45	7	0	3	137	409	453	2e-20	88.6
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_2:N:0:1	gi|489751057|ref|WP_003655066.1|	84.44	45	7	0	3	137	413	457	2e-20	88.6
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_2:N:0:1	gi|184156936|ref|YP_001845275.1|	82.22	45	8	0	3	137	413	457	7e-20	87.0
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_2:N:0:1	gi|169797137|ref|YP_001714930.1|	82.22	45	8	0	3	137	413	457	7e-20	87.0
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_2:N:0:1	gi|490775793|ref|WP_004637982.1|	82.22	45	8	0	3	137	411	455	3e-19	85.5
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_2:N:0:1	gi|491546130|ref|WP_005403745.1|	82.22	45	8	0	3	137	411	455	3e-19	85.1
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_2:N:0:1	gi|494179686|ref|WP_007116129.1|	63.27	49	14	1	3	137	424	472	8e-13	67.0
+ at M01520:37:000000000-A4TDP:1:2103:17991:28060_2:N:0:1	gi|490367201|ref|WP_004246865.1|	62.22	45	17	0	3	137	434	478	9e-12	63.9
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_2:N:0:1	gi|490404619|ref|WP_004278841.1|	100.00	32	0	0	97	2	41	72	9e-13	63.9
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_2:N:0:1	gi|491543552|ref|WP_005401170.1|	75.00	32	8	0	97	2	56	87	8e-09	53.5
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_2:N:0:1	gi|489748369|ref|WP_003652378.1|	71.88	32	9	0	97	2	40	71	2e-08	52.0
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_2:N:0:1	gi|447012201|ref|WP_001089457.1|	68.75	32	10	0	97	2	40	71	4e-08	51.2
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_2:N:0:1	gi|184158611|ref|YP_001846950.1|	68.75	32	10	0	97	2	40	71	5e-08	51.2
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_2:N:0:1	gi|491544770|ref|WP_005402387.1|	74.19	31	8	0	97	5	40	70	7e-08	50.8
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_2:N:0:1	gi|491161544|ref|WP_005019931.1|	75.00	32	8	0	97	2	43	74	8e-07	47.8
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_2:N:0:1	gi|490777273|ref|WP_004639459.1|	71.88	32	9	0	97	2	40	71	2e-06	46.6
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_2:N:0:1	gi|397669637|ref|YP_006511172.1|	59.38	32	13	0	97	2	80	111	0.006	37.0
+ at M01520:37:000000000-A4TDP:1:2104:6498:12514_2:N:0:1	gi|491425121|ref|WP_005282916.1|	53.33	30	14	0	94	5	35	64	0.007	36.6
+ at M01520:37:000000000-A4TDP:1:2104:14010:14660_2:N:0:1	gi|490409052|ref|WP_004282308.1|	100.00	36	0	0	2	109	41	76	6e-18	79.7
+ at M01520:37:000000000-A4TDP:1:2104:14010:14660_2:N:0:1	gi|491544084|ref|WP_005401702.1|	88.89	36	4	0	2	109	25	60	1e-14	70.9
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_2:N:0:1	gi|490407634|ref|WP_004281139.1|	100.00	46	0	0	2	139	663	708	5e-25	  101
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_2:N:0:1	gi|491165832|ref|WP_005024203.1|	95.65	46	2	0	2	139	663	708	1e-23	97.8
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_2:N:0:1	gi|491543738|ref|WP_005401356.1|	93.48	46	3	0	2	139	663	708	1e-23	97.8
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_2:N:0:1	gi|446659317|ref|WP_000736663.1|	93.48	46	3	0	2	139	668	713	2e-23	97.4
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_2:N:0:1	gi|384144826|ref|YP_005527536.1|	93.48	46	3	0	2	139	668	713	2e-23	97.4
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_2:N:0:1	gi|491545714|ref|WP_005403330.1|	93.48	46	3	0	2	139	654	699	3e-23	96.7
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_2:N:0:1	gi|489749807|ref|WP_003653816.1|	91.30	46	4	0	2	139	669	714	4e-23	96.3
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_2:N:0:1	gi|491547638|ref|WP_005405253.1|	93.48	46	3	0	2	139	663	708	4e-23	96.3
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_2:N:0:1	gi|490779143|ref|WP_004641329.1|	93.48	46	3	0	2	139	674	719	7e-23	95.5
+ at M01520:37:000000000-A4TDP:1:2106:21768:8436_2:N:0:1	gi|494180297|ref|WP_007116391.1|	73.91	46	12	0	2	139	743	788	3e-15	73.9
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_2:N:0:1	gi|490404201|ref|WP_004278514.1|	97.73	44	1	0	2	133	124	167	4e-24	95.9
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_2:N:0:1	gi|491158403|ref|WP_005016790.1|	81.82	44	8	0	2	133	122	165	6e-21	87.0
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_2:N:0:1	gi|493736599|ref|WP_006685801.1|	50.00	42	20	1	2	127	121	161	2e-06	47.4
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_2:N:0:1	gi|157157662|ref|YP_001461524.1|	50.00	42	20	1	2	127	121	161	3e-06	47.0
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_2:N:0:1	gi|312140852|ref|YP_004008188.1|	40.00	35	21	0	20	124	126	160	0.003	38.5
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_2:N:0:1	gi|489944983|ref|WP_003848290.1|	38.64	44	27	0	2	133	121	164	0.009	37.0
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_2:N:0:1	gi|491655480|ref|WP_005512200.1|	34.09	44	29	0	2	133	121	164	0.021	35.8
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_2:N:0:1	gi|493428549|ref|WP_006384206.1|	59.26	27	11	0	38	118	138	164	0.028	35.4
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_2:N:0:1	gi|489884608|ref|WP_003788058.1|	30.00	40	26	1	20	133	22	61	1.2	30.0
+ at M01520:37:000000000-A4TDP:1:2106:17921:27071_2:N:0:1	gi|496406493|ref|WP_009115357.1|	51.85	27	13	0	120	40	34	60	2.6	29.6
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_2:N:0:1	gi|490408952|ref|WP_004282226.1|	100.00	31	0	0	1	93	70	100	1e-12	64.3
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_2:N:0:1	gi|490408960|ref|WP_004282234.1|	100.00	31	0	0	1	93	70	100	1e-12	64.3
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_2:N:0:1	gi|490408998|ref|WP_004282272.1|	96.77	31	1	0	1	93	70	100	4e-12	62.8
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_2:N:0:1	gi|490408989|ref|WP_004282263.1|	96.77	31	1	0	1	93	70	100	4e-12	62.8
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_2:N:0:1	gi|490779643|ref|WP_004641829.1|	87.10	31	4	0	1	93	70	100	2e-10	58.2
+ at M01520:37:000000000-A4TDP:1:2107:21926:16407_2:N:0:1	gi|490408975|ref|WP_004282249.1|	87.10	31	4	0	1	93	96	126	2e-10	58.2
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+NODE_1171_length_108_cov_1.379630	gi|9626379|ref|NP_040709.1|	92.50	40	3	0	35	154	1	40	0.003	36.6
+NODE_1171_length_108_cov_1.379630	gi|89888657|ref|YP_512414.1|	86.67	15	2	0	110	154	26	40	0.12	32.0
+NODE_1171_length_108_cov_1.379630	gi|493708580|ref|WP_006658245.1|	41.46	41	24	0	126	4	296	336	1.00	31.6
+NODE_1312_length_129_cov_1.077519	gi|496494566|ref|WP_009203102.1|	89.66	58	6	0	2	175	91	148	1e-28	  107
+NODE_1312_length_129_cov_1.077519	gi|9626381|ref|NP_040711.1|	89.66	58	6	0	2	175	301	358	8e-28	  107
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+NODE_1312_length_129_cov_1.077519	gi|9626346|ref|NP_040678.1|	60.71	56	22	0	2	169	301	356	8e-14	69.3
+NODE_1312_length_129_cov_1.077519	gi|89888655|ref|YP_512416.1|	57.14	56	24	0	2	169	301	356	9e-14	69.3
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+NODE_1315_length_115_cov_1.008696	gi|9626383|ref|NP_040713.1|	92.59	54	4	0	1	162	235	288	4e-27	  105
+NODE_1315_length_115_cov_1.008696	gi|446388692|ref|WP_000466547.1|	92.59	54	4	0	1	162	235	288	4e-27	  105
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+NODE_1315_length_115_cov_1.008696	gi|89888105|ref|YP_512798.1|	48.53	68	21	1	1	162	230	297	1e-12	65.5
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+NODE_1315_length_115_cov_1.008696	gi|9625365|ref|NP_039599.1|	51.85	54	26	0	1	162	245	298	7e-12	63.2
+NODE_1315_length_115_cov_1.008696	gi|89888653|ref|YP_512418.1|	51.85	54	26	0	1	162	240	293	8e-12	62.8
+NODE_1315_length_115_cov_1.008696	gi|491502012|ref|WP_005359693.1|	36.59	41	26	0	25	147	7	47	0.23	31.2
+NODE_1315_length_115_cov_1.008696	gi|490830804|ref|WP_004692890.1|	31.37	51	35	0	4	156	564	614	0.99	31.6
+NODE_1349_length_119_cov_1.033613	gi|9626383|ref|NP_040713.1|	94.55	55	3	0	165	1	156	210	4e-27	  105
+NODE_1349_length_119_cov_1.033613	gi|446388692|ref|WP_000466547.1|	94.55	55	3	0	165	1	156	210	4e-27	  105
+NODE_1349_length_119_cov_1.033613	gi|9626348|ref|NP_040680.1|	81.82	55	10	0	165	1	151	205	1e-22	92.4
+NODE_1349_length_119_cov_1.033613	gi|89888618|ref|YP_512378.1|	80.00	55	11	0	165	1	151	205	6e-22	90.9
+NODE_1349_length_119_cov_1.033613	gi|89888105|ref|YP_512798.1|	80.00	55	11	0	165	1	151	205	6e-22	90.5
+NODE_1349_length_119_cov_1.033613	gi|242346752|ref|YP_002985214.1|	74.55	55	14	0	165	1	168	222	2e-18	80.9
+NODE_1349_length_119_cov_1.033613	gi|9625365|ref|NP_039599.1|	74.55	55	14	0	165	1	166	220	2e-18	80.9
+NODE_1349_length_119_cov_1.033613	gi|89888653|ref|YP_512418.1|	67.27	55	18	0	165	1	161	215	5e-16	74.3
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+NODE_1394_length_109_cov_1.091743	gi|9626373|ref|NP_040703.1|	92.16	51	4	0	3	155	328	378	5e-24	97.8
+NODE_1394_length_109_cov_1.091743	gi|447057677|ref|WP_001134933.1|	92.16	51	4	0	3	155	337	387	7e-24	97.8
+NODE_1394_length_109_cov_1.091743	gi|89888609|ref|YP_512369.1|	82.35	51	9	0	3	155	156	206	7e-23	93.2
+NODE_1394_length_109_cov_1.091743	gi|176120946|ref|NP_040671.2|	80.39	51	10	0	3	155	156	206	1e-22	92.4
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+NODE_1394_length_109_cov_1.091743	gi|176120945|ref|NP_040670.2|	80.39	51	10	0	3	155	369	419	1e-21	91.7
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+NODE_1394_length_109_cov_1.091743	gi|9626375|ref|NP_040705.1|	100.00	14	0	0	116	157	1	14	1.1	30.0
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+NODE_1573_length_112_cov_1.133929	gi|89888105|ref|YP_512798.1|	59.18	49	19	1	149	3	88	135	3e-08	52.8
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+ at M01520:37:000000000-A4TDP:1:1101:16768:1363_1:N:0:1	gi|9626381|ref|NP_040711.1|	100.00	49	0	0	148	2	261	309	8e-27	  104
+ at M01520:37:000000000-A4TDP:1:1101:16768:1363_1:N:0:1	gi|89888655|ref|YP_512416.1|	80.43	46	9	0	148	11	261	306	2e-18	81.6
+ at M01520:37:000000000-A4TDP:1:1101:16768:1363_1:N:0:1	gi|9625363|ref|NP_039597.1|	71.43	49	14	0	148	2	261	309	9e-17	77.4
+ at M01520:37:000000000-A4TDP:1:1101:16768:1363_1:N:0:1	gi|242346750|ref|YP_002985212.1|	69.39	49	15	0	148	2	261	309	1e-15	74.3
+ at M01520:37:000000000-A4TDP:1:1101:16768:1363_1:N:0:1	gi|89888616|ref|YP_512376.1|	63.27	49	18	0	148	2	261	309	2e-14	70.5
+ at M01520:37:000000000-A4TDP:1:1101:16768:1363_1:N:0:1	gi|89888103|ref|YP_512796.1|	61.22	49	19	0	148	2	261	309	5e-14	69.3
+ at M01520:37:000000000-A4TDP:1:1101:16768:1363_1:N:0:1	gi|9626346|ref|NP_040678.1|	61.22	49	19	0	148	2	261	309	9e-13	66.2
+ at M01520:37:000000000-A4TDP:1:1101:16768:1363_1:N:0:1	gi|493870803|ref|WP_006817326.1|	50.00	26	12	1	145	68	25	49	0.35	32.3
+ at M01520:37:000000000-A4TDP:1:1101:16768:1363_1:N:0:1	gi|490040747|ref|WP_003943149.1|	45.16	31	14	1	127	35	234	261	8.4	28.5
+ at M01520:37:000000000-A4TDP:1:1101:13805:1480_1:N:0:1	gi|446410012|ref|WP_000487867.1|	100.00	35	0	0	150	46	141	175	3e-18	78.6
+ at M01520:37:000000000-A4TDP:1:1101:13805:1480_1:N:0:1	gi|9626382|ref|NP_040712.1|	100.00	35	0	0	150	46	141	175	4e-18	78.6
+ at M01520:37:000000000-A4TDP:1:1101:13805:1480_1:N:0:1	gi|9626347|ref|NP_040679.1|	52.78	36	16	1	150	46	142	177	1e-04	41.2
+ at M01520:37:000000000-A4TDP:1:1101:13805:1480_1:N:0:1	gi|89888617|ref|YP_512377.1|	52.78	36	16	1	150	46	144	179	0.003	38.1
+ at M01520:37:000000000-A4TDP:1:1101:13805:1480_1:N:0:1	gi|89888104|ref|YP_512797.1|	47.22	36	18	1	150	46	142	177	0.006	37.0
+ at M01520:37:000000000-A4TDP:1:1101:13805:1480_1:N:0:1	gi|496411819|ref|WP_009120683.1|	43.48	23	13	0	71	3	4	26	4.8	28.5
+ at M01520:37:000000000-A4TDP:1:1101:13805:1480_1:N:0:1	gi|73695475|ref|NP_060542.4|	36.36	44	24	2	131	9	831	873	5.6	29.3
+ at M01520:37:000000000-A4TDP:1:1101:15097:1496_1:N:0:1	gi|496494567|ref|WP_009203103.1|	100.00	50	0	0	150	1	101	150	2e-29	  109
+ at M01520:37:000000000-A4TDP:1:1101:15097:1496_1:N:0:1	gi|9626381|ref|NP_040711.1|	100.00	50	0	0	150	1	101	150	9e-29	  110
+ at M01520:37:000000000-A4TDP:1:1101:15097:1496_1:N:0:1	gi|9625363|ref|NP_039597.1|	70.83	48	14	0	144	1	103	150	2e-17	79.3
+ at M01520:37:000000000-A4TDP:1:1101:15097:1496_1:N:0:1	gi|242346750|ref|YP_002985212.1|	68.00	50	16	0	150	1	101	150	7e-17	77.4
+ at M01520:37:000000000-A4TDP:1:1101:15097:1496_1:N:0:1	gi|89888655|ref|YP_512416.1|	65.22	46	16	0	138	1	105	150	6e-12	63.9
+ at M01520:37:000000000-A4TDP:1:1101:15097:1496_1:N:0:1	gi|9626346|ref|NP_040678.1|	67.39	46	15	0	138	1	105	150	9e-12	63.2
+ at M01520:37:000000000-A4TDP:1:1101:15097:1496_1:N:0:1	gi|89888616|ref|YP_512376.1|	63.04	46	17	0	138	1	105	150	2e-10	59.3
+ at M01520:37:000000000-A4TDP:1:1101:15097:1496_1:N:0:1	gi|89888103|ref|YP_512796.1|	68.09	47	13	2	138	1	105	150	5e-10	58.2
+ at M01520:37:000000000-A4TDP:1:1101:15097:1496_1:N:0:1	gi|496134494|ref|WP_008859001.1|	45.16	31	17	0	22	114	74	104	0.66	30.8
+ at M01520:37:000000000-A4TDP:1:1101:15097:1496_1:N:0:1	gi|496421099|ref|WP_009129946.1|	42.86	28	16	0	90	7	89	116	1.0	30.8
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diff --git a/inst/extdata/dat1/blastOut.tab b/inst/extdata/dat1/blastOut.tab
new file mode 100644
index 0000000..4e9bc1c
--- /dev/null
+++ b/inst/extdata/dat1/blastOut.tab
@@ -0,0 +1,1025 @@
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diff --git a/inst/extdata/dat1/blastOut2.tab b/inst/extdata/dat1/blastOut2.tab
new file mode 100644
index 0000000..644af4b
--- /dev/null
+++ b/inst/extdata/dat1/blastOut2.tab
@@ -0,0 +1,200 @@
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diff --git a/inst/extdata/dat1/blastOut_old.tab b/inst/extdata/dat1/blastOut_old.tab
new file mode 100644
index 0000000..a945cd9
--- /dev/null
+++ b/inst/extdata/dat1/blastOut_old.tab
@@ -0,0 +1,1942 @@
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diff --git a/inst/extdata/dat1/gi_taxid_prot_example.dmp b/inst/extdata/dat1/gi_taxid_prot_example.dmp
new file mode 100644
index 0000000..c105e07
--- /dev/null
+++ b/inst/extdata/dat1/gi_taxid_prot_example.dmp
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diff --git a/inst/extdata/dat1/names_example.dmp b/inst/extdata/dat1/names_example.dmp
new file mode 100644
index 0000000..8c2b58b
--- /dev/null
+++ b/inst/extdata/dat1/names_example.dmp
@@ -0,0 +1,2059 @@
+72	|	"Caryophanon muelleri" (Schmid 1922) Peshkoff 1948	|		|	authority	|
+72	|	ATCC 29453	|		|	type material	|
+72	|	CCUG 30554	|		|	type material	|
+72	|	CIP 103436	|		|	type material	|
+72	|	Caryophanon muelleri	|		|	synonym	|
+72	|	DSM 2579	|		|	type material	|
+72	|	LMG 7828	|		|	type material	|
+72	|	Scheibenbakterien	|		|	common name	|
+72	|	Scheibenbakterien Muller 1911	|		|	common name	|
+72	|	Simonsiella muelleri	|		|	scientific name	|
+72	|	Simonsiella muelleri Schmid 1922	|		|	authority	|
+158	|	"Spirillum dentium" (Miller 1889) Sternberg 1892	|		|	authority	|
+158	|	"Spirochaeta ambigua" Seguin and Vinzent 1936	|		|	authority	|
+158	|	"Spirochaeta comandonii" Seguin and Vinzent 1936	|		|	authority	|
+158	|	"Spirochaeta dentium" (Miller 1889) Migula 1895	|		|	authority	|
+158	|	"Spirochaeta microdentium" (Noguchi 1912) Heim 1922	|		|	authority	|
+158	|	"Spirochaeta orthodonta" Hoffmann 1920	|		|	authority	|
+158	|	"Spirochaete denticola" Flugge 1886	|		|	authority	|
+158	|	"Spirochaete dentium" Miller 1889	|		|	authority	|
+158	|	"Spironema dentium" (Miller 1889) Gross 1912	|		|	authority	|
+158	|	"Treponema ambiguum" (Seguin and Vinzent 1936) Prevot 1940	|		|	authority	|
+158	|	"Treponema comandonii" (Seguin and Vinzent 1936) Prevot 1940	|		|	authority	|
+158	|	"Treponema dentium" (Miller 1889) Dobell 1912	|		|	authority	|
+158	|	"Treponema dentium-stenogyratum" Pettit 1928	|		|	authority	|
+158	|	"Treponema microdentium" Noguchi 1912	|		|	authority	|
+158	|	"Treponema orthodontum" (Hoffmann 1920) Noguchi 1928	|		|	authority	|
+158	|	ATCC 35405	|		|	type material	|
+158	|	CIP 103919	|		|	type material	|
+158	|	DSM 14222	|		|	type material	|
+158	|	JCM 8153	|		|	type material	|
+158	|	Spirillum dentium	|		|	synonym	|
+158	|	Spirochaeta ambigua	|		|	synonym	|
+158	|	Spirochaeta comandonii	|		|	synonym	|
+158	|	Spirochaeta dentium	|		|	synonym	|
+158	|	Spirochaeta microdentium	|		|	synonym	|
+158	|	Spirochaeta orthodonta	|		|	synonym	|
+158	|	Spirochaete denticola	|		|	synonym	|
+158	|	Spirochaete dentium	|		|	synonym	|
+158	|	Spironema dentium	|		|	synonym	|
+158	|	Treponema ambiguum	|		|	synonym	|
+158	|	Treponema comandonii	|		|	synonym	|
+158	|	Treponema denticola	|		|	scientific name	|
+158	|	Treponema denticola (ex Brumpt 1925) Chan et al. 1993	|		|	authority	|
+158	|	Treponema denticola (ex Flugge 1886) Chan et al. 1993	|		|	authority	|
+158	|	Treponema dentium	|		|	synonym	|
+158	|	Treponema dentium-stenogyratum	|		|	synonym	|
+158	|	Treponema microdentium	|		|	synonym	|
+158	|	Treponema orthodontum	|		|	synonym	|
+204	|	ATCC 51146	|		|	type material	|
+204	|	CCUG 30254	|		|	type material	|
+204	|	CIP 103970	|		|	type material	|
+204	|	Campylobacter showae	|		|	scientific name	|
+204	|	Campylobacter showae Etoh et al. 1993	|		|	authority	|
+204	|	JCM 12989	|		|	type material	|
+204	|	LMG 12635	|		|	type material	|
+204	|	strain SU A4	|		|	type material	|
+222	|	Achromobacter	|		|	scientific name	|
+222	|	Achromobacter Yabuuchi and Yano 1981 emend. Yabuuchi et al. 1998	|		|	authority	|
+250	|	ATCC 35910	|		|	type material	|
+250	|	CCUG 14555	|		|	type material	|
+250	|	CIP 103039	|		|	type material	|
+250	|	Chryseobacterium gleum	|		|	scientific name	|
+250	|	Chryseobacterium gleum (Holmes et al. 1984) Vandamme et al. 1994	|		|	authority	|
+250	|	DSM 16776	|		|	type material	|
+250	|	Flavobacterium gleum	|		|	synonym	|
+250	|	Flavobacterium gleum Holmes et al. 1984	|		|	authority	|
+250	|	IFO 15054	|		|	type material	|
+250	|	JCM 2410	|		|	type material	|
+250	|	LMG 8334	|		|	type material	|
+250	|	NBRC 15054	|		|	type material	|
+250	|	NCTC 11432	|		|	type material	|
+250	|	strain F93	|		|	type material	|
+258	|	ATCC 33861	|		|	type material	|
+258	|	CCUG 13224	|		|	type material	|
+258	|	CDC E7288	|		|	type material	|
+258	|	CIP 100542	|		|	type material	|
+258	|	DSM 11722	|		|	type material	|
+258	|	Flavibacterium yabuuchiae	|		|	synonym	|
+258	|	Flavobacterium spiritivorum	|		|	synonym	|
+258	|	Flavobacterium spiritivorum Holmes et al. 1982	|		|	authority	|
+258	|	Flavobacterium yabuuchiae	|		|	synonym	|
+258	|	Flavobacterium yabuuchiae Holmes et al. 1988	|		|	authority	|
+258	|	GIFU 3101	|		|	type material	|
+258	|	IFO 14948	|		|	type material	|
+258	|	JCM 1277	|		|	type material	|
+258	|	JCM 6897	|		|	type material	|
+258	|	LMG 8347	|		|	type material	|
+258	|	NBRC 14948	|		|	type material	|
+258	|	NCTC 11386	|		|	type material	|
+258	|	Sphingobacter spiritivorum	|		|	misspelling	|
+258	|	Sphingobacterium spiritivorum	|		|	scientific name	|
+258	|	Sphingobacterium spiritivorum (Holmes et al. 1982) Yabuuchi et al. 1983	|		|	authority	|
+258	|	strain E7288	|		|	type material	|
+469	|	Acinetobacter	|		|	scientific name	|
+469	|	Acinetobacter Brisou and Prevot 1954	|		|	authority	|
+471	|	"Micrococcus calco-aceticus" Beijerinck 1911	|		|	authority	|
+471	|	ATCC 23055	|		|	type material	|
+471	|	Acinetobacter calcoaceticus	|		|	scientific name	|
+471	|	Acinetobacter calcoaceticus (Beijerinck 1911) Baumann et al. 1968 (Approved Lists 1980) emend. Bouvet and Grimont 1986	|		|	authority	|
+471	|	Acinetobacter genomosp. 1	|		|	synonym	|
+471	|	Acinetobacter genomospecies 1	|		|	synonym	|
+471	|	Acinetobacter sp. AV6	|		|	includes	|
+471	|	Acinetobacter sp. HNR	|		|	includes	|
+471	|	Acinetobacter sp. STB1	|		|	includes	|
+471	|	CAIM 17	|		|	type material	|
+471	|	CCUG 12804	|		|	type material	|
+471	|	CIP 81.8	|		|	type material	|
+471	|	DSM 30006	|		|	type material	|
+471	|	JCM 6842	|		|	type material	|
+471	|	LMG 1046	|		|	type material	|
+471	|	Micrococcus calcoaceticus	|		|	synonym	|
+471	|	Moraxella calcoacetica	|		|	synonym	|
+471	|	NCCB 22016	|		|	type material	|
+471	|	NCTC 12983	|		|	type material	|
+471	|	Neisseria winogradskyi	|		|	synonym	|
+482	|	"Gonococcus" Lindau 1898	|		|	synonym	|
+482	|	"Merismopedia" Zopf 1885	|		|	synonym	|
+482	|	Gonococcus	|		|	synonym	|
+482	|	Neisseria	|		|	scientific name	|
+482	|	Neisseria Trevisan 1885	|		|	synonym	|
+482	|	Nesseira	|		|	misspelling	|
+483	|	"Micrococcus cinereus" von Lingelsheim 1906	|		|	authority	|
+483	|	ATCC 14685	|		|	type material	|
+483	|	CCUG 2156	|		|	type material	|
+483	|	CCUG 346	|		|	type material	|
+483	|	CIP 73.16	|		|	type material	|
+483	|	DSM 4630	|		|	type material	|
+483	|	LMG 8380	|		|	type material	|
+483	|	Micrococcus cinereus	|		|	synonym	|
+483	|	NCTC 10294	|		|	type material	|
+483	|	Neisseria cinerea	|		|	scientific name	|
+483	|	Neisseria cinerea (von Lingelsheim 1906) Murray 1939	|		|	authority	|
+484	|	ATCC 13120	|		|	type material	|
+484	|	CCUG 17913	|		|	type material	|
+484	|	CCUG 345	|		|	type material	|
+484	|	CIP 73.15	|		|	type material	|
+484	|	DSM 17633	|		|	type material	|
+484	|	LMG 5297	|		|	type material	|
+484	|	NCTC 8263	|		|	type material	|
+484	|	Neisseria flavescens	|		|	scientific name	|
+484	|	Neisseria flavescens Branham 1930	|		|	authority	|
+486	|	"Neisseria lactamicus" (sic) Hollis et al. 1969	|		|	authority	|
+486	|	ATCC 23970	|		|	type material	|
+486	|	CCUG 5853	|		|	type material	|
+486	|	CIP 72.17	|		|	type material	|
+486	|	DSM 4691	|		|	type material	|
+486	|	NCTC 10617	|		|	type material	|
+486	|	Neisseria lactamica	|		|	scientific name	|
+486	|	Neisseria lactamica Hollis et al. 1969	|		|	authority	|
+486	|	Neisseria lactamicus	|		|	synonym	|
+487	|	"Diplokokkus intracellularis meningitidis" (sic) Weichselbaum 1887	|		|	authority	|
+487	|	"Micrococcus intracellularis" (Jaeger) Migula 1900	|		|	authority	|
+487	|	"Micrococcus meningitidis cerebrospinalis" Albrecht and Ghon 1901	|		|	authority	|
+487	|	"Micrococcus meningitidis" Albrecht and Ghon 1903	|		|	authority	|
+487	|	"Neisseria weichselbaumii" Trevisan 1889	|		|	authority	|
+487	|	ATCC 13077	|		|	type material	|
+487	|	CCUG 3269	|		|	type material	|
+487	|	CIP 73.10	|		|	type material	|
+487	|	DSM 10036	|		|	type material	|
+487	|	Diplokokkus intracellularis meningitidis	|		|	synonym	|
+487	|	Micrococcus intracellularis	|		|	synonym	|
+487	|	Micrococcus meningitidis	|		|	synonym	|
+487	|	Micrococcus meningitidis cerebrospinalis	|		|	synonym	|
+487	|	NCTC 10025	|		|	type material	|
+487	|	Neisseria meningitidis	|		|	scientific name	|
+487	|	Neisseria meningitidis (Albrecht and Ghon 1901) Murray 1929	|		|	authority	|
+487	|	Neisseria meningitidis.	|		|	misspelling	|
+487	|	Neisseria weichselbaumii	|		|	synonym	|
+487	|	strain Sara E. Branham M1027	|		|	type material	|
+488	|	"Diplococcus mucosus" von Lingelsheim 1906	|		|	authority	|
+488	|	ATCC 19696	|		|	type material	|
+488	|	CCUG 26877	|		|	type material	|
+488	|	CIP 59.51	|		|	type material	|
+488	|	DSM 17611	|		|	type material	|
+488	|	Diplococcus mucosus	|		|	synonym	|
+488	|	JCM 12992	|		|	type material	|
+488	|	NCTC 12978	|		|	type material	|
+488	|	Neisseria mucosa	|		|	scientific name	|
+488	|	Neisseria mucosa (von Lingelsheim 1906) Veron et al. 1959	|		|	authority	|
+488	|	Neisseria mucosa Veron et al. 1959 (sic)	|		|	authority	|
+489	|	"Neisseria polysacchareae" Riou et al. 1983	|		|	authority	|
+489	|	ATCC 43768	|		|	type material	|
+489	|	CCUG 18030	|		|	type material	|
+489	|	CIP 100113	|		|	type material	|
+489	|	NCTC 11858	|		|	type material	|
+489	|	Neisseria polysaccharea	|		|	scientific name	|
+489	|	Neisseria polysaccharea Riou and Guibourdenche 1987	|		|	authority	|
+489	|	Neisseria polysacchareae	|		|	synonym	|
+496	|	ATCC 33926	|		|	type material	|
+496	|	CIP 103346	|		|	type material	|
+496	|	Neisseria macaca	|		|	misspelling	|
+496	|	Neisseria macacae	|		|	scientific name	|
+496	|	Neisseria macacae Vedros et al. 1983	|		|	authority	|
+496	|	strain M-740	|		|	type material	|
+502	|	ATCC 33394	|		|	type material	|
+502	|	CCUG 6516	|		|	type material	|
+502	|	CCUG 9125	|		|	type material	|
+502	|	CIP 103473	|		|	type material	|
+502	|	DSM 10202	|		|	type material	|
+502	|	Kingella denitrificans	|		|	scientific name	|
+502	|	Kingella denitrificans Snell and Lapage 1976	|		|	authority	|
+502	|	NCTC 10995	|		|	type material	|
+504	|	"Moraxella kingae" Bovre et al. 1974	|		|	authority	|
+504	|	"Moraxella kingii" (sic) Henriksen and Bovre 1968	|		|	authority	|
+504	|	ATCC 23330	|		|	type material	|
+504	|	CCUG 352	|		|	type material	|
+504	|	CIP 80.16	|		|	type material	|
+504	|	DSM 7536	|		|	type material	|
+504	|	Kingella kingae	|		|	scientific name	|
+504	|	Kingella kingae (Henriksen and Bovre 1968) Henriksen and Bovre 1976	|		|	authority	|
+504	|	Kingella kingii	|		|	equivalent name	|
+504	|	Moraxella kingae	|		|	synonym	|
+504	|	Moraxella kingii	|		|	synonym	|
+504	|	NCTC 10529	|		|	type material	|
+505	|	ATCC 51147	|		|	type material	|
+505	|	CCUG 30450	|		|	type material	|
+505	|	CIP 103803	|		|	type material	|
+505	|	DSM 18271	|		|	type material	|
+505	|	Kingella orale	|		|	synonym	|
+505	|	Kingella oralis	|		|	scientific name	|
+505	|	Kingella oralis corrig. Dewhirst et al. 1993	|		|	authority	|
+505	|	strain UB-38	|		|	type material	|
+539	|	"Bacteroides corrodens" Eiken 1958 (in part)	|		|	synonym	|
+539	|	"Ristella corrodens" (Eiken 1958) Prevot 1966	|		|	synonym	|
+539	|	ATCC 23834	|		|	type material	|
+539	|	Bacteroides corrodens	|	Bacteroides corrodens <facultative anaerobe>	|	synonym	|
+539	|	CCUG 2138	|		|	type material	|
+539	|	CIP 70.75	|		|	type material	|
+539	|	DSM 8340	|		|	type material	|
+539	|	Eikenella corrodens	|		|	scientific name	|
+539	|	Eikenella corrodens (Eiken 1958) Jackson and Goodman 1972	|		|	synonym	|
+539	|	JCM 12952	|		|	type material	|
+539	|	LMG 15557	|		|	type material	|
+539	|	NCTC 10596	|		|	type material	|
+539	|	Ristella corrodens	|		|	synonym	|
+587	|	"Bacterium rettgeri" Hadley 1918	|		|	authority	|
+587	|	"Shigella rettgeri" (Hadley et al. 1918) Weldin 1927	|		|	authority	|
+587	|	ATCC 29944	|		|	type material	|
+587	|	Bacterium rettgeri	|		|	synonym	|
+587	|	CCUG 14804	|		|	type material	|
+587	|	CIP 103182	|		|	type material	|
+587	|	DSM 4542	|		|	type material	|
+587	|	JCM 1675	|		|	type material	|
+587	|	LMG 3259	|		|	type material	|
+587	|	NCTC 11801	|		|	type material	|
+587	|	Proteus rettgeri	|		|	synonym	|
+587	|	Proteus rettgeri (Hadley et al. 1918) Rustigian and Stuart 1943 (Approved Lists 1980)	|		|	authority	|
+587	|	Providencia rettgeri	|		|	scientific name	|
+587	|	Providencia rettgeri (Hadley 1918) Brenner et al. 1978	|		|	authority	|
+587	|	Shigella rettgeri	|		|	synonym	|
+588	|	"Proteus stuartii" Buttiaux et al. 1954	|		|	authority	|
+588	|	ATCC 29914	|		|	type material	|
+588	|	CCUG 14805	|		|	type material	|
+588	|	CIP 104687	|		|	type material	|
+588	|	DSM 4539	|		|	type material	|
+588	|	LMG 3260	|		|	type material	|
+588	|	NCTC 11800	|		|	type material	|
+588	|	Proteus stuartii	|		|	synonym	|
+588	|	Providencia stuartii	|		|	scientific name	|
+588	|	Providencia stuartii (Buttiaux et al. 1954) Ewing 1962	|		|	authority	|
+618	|	ATCC 33077	|		|	type material	|
+618	|	CCUG 14508	|		|	type material	|
+618	|	CDC 1979-77	|		|	type material	|
+618	|	CIP 79.1	|		|	type material	|
+618	|	DSM 4582	|		|	type material	|
+618	|	JCM 1243	|		|	type material	|
+618	|	NBRC 102598	|		|	type material	|
+618	|	NCTC 11214	|		|	type material	|
+618	|	Serratia odorifera	|		|	scientific name	|
+618	|	Serratia odorifera Grimont et al. 1978	|		|	authority	|
+618	|	Serratia odorifora	|		|	misspelling	|
+636	|	"Paracolobactrum anguillimortiferum" Hoshina 1962	|		|	authority	|
+636	|	ATCC 15947	|		|	type material	|
+636	|	CCUG 1638	|		|	type material	|
+636	|	CIP 78.61	|		|	type material	|
+636	|	DSM 30052	|		|	type material	|
+636	|	Edwardsiella anguillimortifera	|		|	synonym	|
+636	|	Edwardsiella anguillimortifera (Hoshina 1962) Sakazaki and Tamura 1975	|		|	authority	|
+636	|	Edwardsiella tarda	|		|	scientific name	|
+636	|	Edwardsiella tarda Ewing and McWhorter 1965	|		|	authority	|
+636	|	JCM 1656	|		|	type material	|
+636	|	LMG 2793	|		|	type material	|
+636	|	NCCB 73021	|		|	type material	|
+636	|	NCTC 10396	|		|	type material	|
+636	|	Paracolobactrum anguillimortiferum	|		|	synonym	|
+816	|	"Ristella" Prevot 1938	|		|	authority	|
+816	|	Bacteroides	|	Bacteroides <genus>	|	scientific name	|
+816	|	Bacteroides Castellani and Chalmers 1919 (Approved Lists 1980) emend. Shah and Collins 1989	|		|	authority	|
+816	|	Capsularis	|		|	synonym	|
+816	|	Capsularis Prevot 1938 (Approved Lists 1980)	|		|	authority	|
+816	|	Ristella	|	Ristella <bacteria>	|	synonym	|
+817	|	"Bacteroides inaequalis" Eggerth and Gagnon 1933	|		|	authority	|
+817	|	"Bacteroides incommunis" Eggerth and Gagnon 1933	|		|	authority	|
+817	|	"Bacteroides uncatus" Eggerth and Gagnon 1933	|		|	authority	|
+817	|	"Fusiformis fragilis" Topley and Wilson 1929	|		|	authority	|
+817	|	"Pseudobacterium fragilis" Krasil'nikov 1949	|		|	authority	|
+817	|	"Pseudobacterium inaequalis" (Eggerth and Gagnon 1933) Krasil'nikov 1949	|		|	authority	|
+817	|	"Pseudobacterium incommunis" (Eggerth and Gagnon 1933) Krasil'nikov 1949	|		|	authority	|
+817	|	"Pseudobacterium uncatum" (Eggerth and Gagnon 1933) Krasil'nikov 1949	|		|	authority	|
+817	|	"Ristella fragilis" Prevot 1938	|		|	authority	|
+817	|	"Ristella incommunis" (Eggerth and Gagnon 1933) Prevot 1938	|		|	authority	|
+817	|	"Ristella uncata" (Eggerth and Gagnon 1933) Prevot 1938	|		|	authority	|
+817	|	"Sphaerophorus inaequalis" (Eggerth and Gagnon 1933) Prevot 1938	|		|	authority	|
+817	|	"Sphaerophorus intermedius" Bergan and Hovig 1968	|		|	authority	|
+817	|	ATCC 25285	|		|	type material	|
+817	|	Bacillus fragilis	|		|	synonym	|
+817	|	Bacillus fragilis Veillon and Zuber 1898	|		|	authority	|
+817	|	Bacteroides fragili	|		|	misspelling	|
+817	|	Bacteroides fragilis	|		|	scientific name	|
+817	|	Bacteroides fragilis (Veillon and Zuber 1898) Castellani and Chalmers 1919	|		|	authority	|
+817	|	Bacteroides inaequalis	|		|	synonym	|
+817	|	Bacteroides incommunis	|		|	synonym	|
+817	|	Bacteroides uncatus	|		|	synonym	|
+817	|	CCUG 4856	|		|	type material	|
+817	|	CIP 77.16	|		|	type material	|
+817	|	DSM 2151	|		|	type material	|
+817	|	Fusiformis fragilis	|		|	synonym	|
+817	|	JCM 11019	|		|	type material	|
+817	|	LMG 10263	|		|	type material	|
+817	|	NCTC 9343	|		|	type material	|
+817	|	Pseudobacterium fragilis	|		|	synonym	|
+817	|	Pseudobacterium inaequalis	|		|	synonym	|
+817	|	Pseudobacterium incommunis	|		|	synonym	|
+817	|	Pseudobacterium uncatum	|		|	synonym	|
+817	|	Ristella fragilis	|		|	synonym	|
+817	|	Ristella incommunis	|		|	synonym	|
+817	|	Ristella uncata	|		|	synonym	|
+817	|	Sphaerophorus inaequalis	|		|	synonym	|
+817	|	Sphaerophorus intermedius	|		|	synonym	|
+823	|	"Bacteroides fragilis subsp. distasonis" (Eggerth and Gagnon 1933) Holdeman and Moore 1970	|		|	authority	|
+823	|	"Pseudobacterium distasonis" (Eggerth and Gagnon 1933) Krasil'nikov 1949	|		|	authority	|
+823	|	"Ristella distasonis" (Eggerth and Gagnon 1933) Prevot 1938	|		|	authority	|
+823	|	ATCC 8503	|		|	type material	|
+823	|	Bacteroides distasonis	|		|	synonym	|
+823	|	Bacteroides distasonis Eggerth and Gagnon 1933 (Approved Lists 1980)	|		|	authority	|
+823	|	Bacteroides fragilis subsp. distasoni	|		|	synonym	|
+823	|	CCUG 4941	|		|	type material	|
+823	|	CIP 104284	|		|	type material	|
+823	|	DSM 20701	|		|	type material	|
+823	|	JCM 5825	|		|	type material	|
+823	|	NCTC 11152	|		|	type material	|
+823	|	Parabacteroides distasonis	|		|	scientific name	|
+823	|	Parabacteroides distasonis (Eggerth and Gagnon 1933) Sakamoto and Benno 2006	|		|	authority	|
+823	|	Pseudobacterium distasonis	|		|	synonym	|
+823	|	Ristella distasonis	|		|	synonym	|
+824	|	ATCC 33236	|		|	type material	|
+824	|	Bacteroides gracilis	|		|	synonym	|
+824	|	Bacteroides gracilis Tanner et al. 1981	|		|	synonym	|
+824	|	CCUG 27720	|		|	type material	|
+824	|	Campylobacter gracilis	|		|	scientific name	|
+824	|	Campylobacter gracilis (Tanner et al. 1981) Vandamme et al. 1995	|		|	synonym	|
+824	|	DSM 19528	|		|	type material	|
+824	|	FDC 1084	|		|	type material	|
+824	|	JCM 8538	|		|	type material	|
+824	|	NCTC 12738	|		|	type material	|
+847	|	ATCC 35274	|		|	type material	|
+847	|	CIP 106513	|		|	type material	|
+847	|	Oxalobacter formigenes	|		|	scientific name	|
+847	|	Oxalobacter formigenes Allison et al. 1985	|		|	authority	|
+847	|	strain OxB	|		|	type material	|
+1017	|	ATCC 33624	|		|	type material	|
+1017	|	CCUG 9715	|		|	type material	|
+1017	|	CIP 102945	|		|	type material	|
+1017	|	Capnocytophaga gingivalis	|		|	scientific name	|
+1017	|	Capnocytophaga gingivalis Leadbetter et al. 1982 emend. London et al. 1985	|		|	authority	|
+1017	|	DSM 3290	|		|	type material	|
+1017	|	JCM 12953	|		|	type material	|
+1017	|	LMG 11514	|		|	type material	|
+1017	|	NCTC 12372	|		|	type material	|
+1017	|	strain 27	|	strain 27 <Capnocytophaga gingivalis>	|	type material	|
+1019	|	ATCC 33612	|		|	type material	|
+1019	|	CCUG 9714	|		|	type material	|
+1019	|	CIP 104301	|		|	type material	|
+1019	|	Capnocytophaga sputigena	|		|	scientific name	|
+1019	|	Capnocytophaga sputigena Leadbetter et al. 1982	|		|	authority	|
+1019	|	DSM 3292	|		|	type material	|
+1019	|	DSM 7273	|		|	type material	|
+1019	|	JCM 12967	|		|	type material	|
+1019	|	LMG 11518	|		|	type material	|
+1019	|	NCTC 11653	|		|	type material	|
+1019	|	strain 4	|		|	type material	|
+1033	|	Afipia	|		|	scientific name	|
+1033	|	Afipia Brenner et al. 1992 emend. La Scola et al. 2002	|		|	authority	|
+1034	|	ATCC 49720	|		|	type material	|
+1034	|	Afipia clevelandensis	|		|	scientific name	|
+1034	|	Afipia clevelandensis Brenner et al. 1992	|		|	authority	|
+1034	|	CCUG 30457	|		|	type material	|
+1034	|	CIP 103516	|		|	type material	|
+1034	|	DSM 7315	|		|	type material	|
+1034	|	NCTC 12721	|		|	type material	|
+1034	|	strain B-91-007353	|		|	type material	|
+1035	|	AFIP strain BV	|		|	type material	|
+1035	|	ATCC 53690	|		|	type material	|
+1035	|	Afipia felis	|		|	scientific name	|
+1035	|	Afipia felis Brenner et al. 1992	|		|	authority	|
+1035	|	CCUG 30456	|		|	type material	|
+1035	|	CIP 103515	|		|	type material	|
+1035	|	DSM 7326	|		|	type material	|
+1035	|	NCTC 12499	|		|	type material	|
+1035	|	cat scratch disease bacillus	|		|	genbank common name	|
+1035	|	strain B-91-007352	|		|	type material	|
+1260	|	"Diplococcus magnus" Prevot 1933	|		|	authority	|
+1260	|	ATCC 15794	|		|	type material	|
+1260	|	CCUG 17636	|		|	type material	|
+1260	|	DSM 20470	|		|	type material	|
+1260	|	Finegoldia magna	|		|	scientific name	|
+1260	|	Finegoldia magna (Prevot 1933) Murdoch and Shah 2000	|		|	authority	|
+1260	|	GIFU 7629	|		|	type material	|
+1260	|	JCM 1766	|		|	type material	|
+1260	|	NCTC 11804	|		|	type material	|
+1260	|	Peptococcus magnus	|		|	synonym	|
+1260	|	Peptococcus magnus (Prevot 1933) Holdeman and Moore 1972 (Approved Lists 1980)	|		|	authority	|
+1260	|	Peptostreptococcus magnus	|		|	synonym	|
+1260	|	Peptostreptococcus magnus (Prevot 1933) Ezaki et al. 1983	|		|	authority	|
+1270	|	"Bacteridium luteum" Schroeter 1872	|		|	authority	|
+1270	|	"Micrococcus flavus" Trevisan	|		|	authority	|
+1270	|	"Micrococcus lysodeikticus" Fleming 1933	|		|	authority	|
+1270	|	"Sarcina lutea" (Schroeter 1872) Schroeter 1886	|		|	authority	|
+1270	|	ATCC 4698	|		|	type material	|
+1270	|	Bacteridium luteum	|		|	synonym	|
+1270	|	CCM 169	|		|	type material	|
+1270	|	CCUG 5858	|		|	type material	|
+1270	|	CIP A270	|		|	type material	|
+1270	|	DSM 20030	|		|	type material	|
+1270	|	HAMBI 1399	|		|	type material	|
+1270	|	HAMBI 26	|		|	type material	|
+1270	|	IEGM 391	|		|	type material	|
+1270	|	IFO 3333	|		|	type material	|
+1270	|	JCM 1464	|		|	type material	|
+1270	|	LMG 4050	|		|	type material	|
+1270	|	Micrococcus luteus	|		|	scientific name	|
+1270	|	Micrococcus luteus (Schroeter 1872) Cohn 1872 (Approved Lists 1980) emend. Wieser et al. 2002	|		|	authority	|
+1270	|	Micrococcus lysodeikticus	|		|	synonym	|
+1270	|	NBRC 3333	|		|	type material	|
+1270	|	NCCB 78001	|		|	type material	|
+1270	|	NCTC 2665	|		|	type material	|
+1270	|	NRRL B-287	|		|	type material	|
+1270	|	Sarcina lutea	|		|	synonym	|
+1270	|	VKM B-1314	|		|	type material	|
+1270	|	not "Micrococcus luteus" Lehmann and Neumann 1896	|		|	authority	|
+1279	|	"Aurococcus" Winslow and Rogers 1906	|		|	authority	|
+1279	|	Aurococcus	|		|	synonym	|
+1279	|	Staphylococcus	|		|	scientific name	|
+1279	|	Staphylococcus Rosenbach 1884	|		|	authority	|
+1301	|	Streptococcus	|		|	scientific name	|
+1301	|	Streptococcus Rosenbach 1884	|		|	authority	|
+1303	|	ATCC 35037	|		|	type material	|
+1303	|	CCUG 13229	|		|	type material	|
+1303	|	CCUG 24891	|		|	type material	|
+1303	|	CIP 102922	|		|	type material	|
+1303	|	DSM 20627	|		|	type material	|
+1303	|	JCM 12997	|		|	type material	|
+1303	|	LMG 14532	|		|	type material	|
+1303	|	NCTC 11427	|		|	type material	|
+1303	|	Streptococcus oralis	|		|	scientific name	|
+1303	|	Streptococcus oralis Bridge and Sneath 1982 emend. Kilian et al. 1989	|		|	authority	|
+1303	|	Streptococcus oralis Bridge and Sneath 1982 emend. Kilpper-Balz et al. 1985	|		|	authority	|
+1303	|	strain LVG 1	|		|	type material	|
+1303	|	strain PB 182	|		|	type material	|
+1303	|	strain SK23	|		|	type material	|
+1305	|	ATCC 10556	|		|	type material	|
+1305	|	CCUG 17826	|		|	type material	|
+1305	|	CCUG 35770	|		|	type material	|
+1305	|	CIP 55.128	|		|	type material	|
+1305	|	DSM 20567	|		|	type material	|
+1305	|	JCM 5708	|		|	type material	|
+1305	|	LMG 14702	|		|	type material	|
+1305	|	NCTC 7863	|		|	type material	|
+1305	|	Streptococcus sanguinis	|		|	scientific name	|
+1305	|	Streptococcus sanguinis corrig. White and Niven 1946 (Approved Lists 1980) emend. Kilian et al. 1989	|		|	authority	|
+1305	|	Streptococcus sanguis	|		|	misspelling	|
+1305	|	strain SK1	|	strain SK1 <Streptococcus sanguinis>	|	type material	|
+1317	|	ATCC 33748	|		|	type material	|
+1317	|	CCUG 24890	|		|	type material	|
+1317	|	CIP 103222	|		|	type material	|
+1317	|	DSM 5635	|		|	type material	|
+1317	|	LMG 14514	|		|	type material	|
+1317	|	NCTC 11391	|		|	type material	|
+1317	|	Streptococcus downei	|		|	scientific name	|
+1317	|	Streptococcus downei Whiley et al. 1988	|		|	authority	|
+1317	|	Streptococcus downensis	|		|	equivalent name	|
+1317	|	strain MFe28	|		|	type material	|
+1322	|	ATCC 27752	|		|	type material	|
+1322	|	Blautia hansenii	|		|	scientific name	|
+1322	|	Blautia hansenii (Holdeman and Moore 1974) Liu et al. 2008	|		|	authority	|
+1322	|	CIP 104219	|		|	type material	|
+1322	|	DSM 20583	|		|	type material	|
+1322	|	JCM 14655	|		|	type material	|
+1322	|	Ruminococcus hansenii	|		|	synonym	|
+1322	|	Ruminococcus hansenii (Holdeman and Moore 1974) Ezaki et al. 1994	|		|	authority	|
+1322	|	Streptococcus hansenii	|		|	synonym	|
+1322	|	Streptococcus hansenii Holdeman and Moore 1974 (Approved Lists 1980)	|		|	authority	|
+1343	|	ATCC 49124	|		|	type material	|
+1343	|	CCUG 24893	|		|	type material	|
+1343	|	CIP 103363	|		|	type material	|
+1343	|	DSM 5636	|		|	type material	|
+1343	|	LMG 13516	|		|	type material	|
+1343	|	NCTC 12166	|		|	type material	|
+1343	|	Streptococcus vestibularis	|		|	scientific name	|
+1343	|	Streptococcus vestibularis Whiley and Hardie 1988	|		|	authority	|
+1343	|	strain MM1	|	strain MM1 <Streptococcus vestibularis>	|	type material	|
+1352	|	ATCC 19434	|		|	type material	|
+1352	|	CCUG 542	|		|	type material	|
+1352	|	CFBP 4248	|		|	type material	|
+1352	|	CIP 103014	|		|	type material	|
+1352	|	DSM 20477	|		|	type material	|
+1352	|	Enterococcus faecium	|		|	scientific name	|
+1352	|	Enterococcus faecium (Orla-Jensen 1919) Schleifer and Kilpper-Balz 1984	|		|	authority	|
+1352	|	HAMBI 1710	|		|	type material	|
+1352	|	JCM 5804	|		|	type material	|
+1352	|	JCM 8727	|		|	type material	|
+1352	|	LMG 11423	|		|	type material	|
+1352	|	NBRC 100485	|		|	type material	|
+1352	|	NBRC 100486	|		|	type material	|
+1352	|	NCDO 942	|		|	type material	|
+1352	|	NCIMB 11508	|		|	type material	|
+1352	|	NCTC 7171	|		|	type material	|
+1352	|	Streptococcus faecium	|		|	synonym	|
+1352	|	Streptococcus faecium Orla-Jensen 1919 (Approved Lists 1980)	|		|	authority	|
+1383	|	ATCC 49626	|		|	type material	|
+1383	|	Atopobium rimae	|		|	scientific name	|
+1383	|	Atopobium rimae (Olsen et al. 1991) Collins and Wallbanks 1993	|		|	synonym	|
+1383	|	CCUG 31168	|		|	type material	|
+1383	|	DSM 7090	|		|	type material	|
+1383	|	IFO 15546	|		|	type material	|
+1383	|	JCM 10299	|		|	type material	|
+1383	|	LMG 11476	|		|	type material	|
+1383	|	Lactobacillus rimae	|		|	synonym	|
+1383	|	Lactobacillus rimae Olsen et al. 1991	|		|	synonym	|
+1383	|	NBRC 15546	|		|	type material	|
+1383	|	VPI D140H-11A	|		|	type material	|
+1496	|	"Bacillus difficilis" Hall and O'Toole 1935	|		|	authority	|
+1496	|	AS 1.2184	|		|	type material	|
+1496	|	ATCC 9689	|		|	type material	|
+1496	|	BCRC 10642	|		|	type material	|
+1496	|	Bacillus difficilis	|		|	synonym	|
+1496	|	CCRC 10642	|		|	type material	|
+1496	|	CCUG 4938	|		|	type material	|
+1496	|	CIP 104282	|		|	type material	|
+1496	|	Clostridium difficile	|		|	equivalent name	|
+1496	|	Clostridium difficile (Hall and O'Toole 1935) Prevot 1938	|		|	authority	|
+1496	|	DSM 1296	|		|	type material	|
+1496	|	JCM 1296	|		|	type material	|
+1496	|	LMG 15861	|		|	type material	|
+1496	|	NCIMB 10666	|		|	type material	|
+1496	|	NCTC 11209	|		|	type material	|
+1496	|	[Clostridium] difficile	|		|	scientific name	|
+1509	|	"Bacillus sporogenes var. A" Metchnikoff 1908	|		|	authority	|
+1509	|	"Clostridium sporogenes var. A" (Metchnikoff 1908) Prevot 1938	|		|	authority	|
+1509	|	"Clostridium sporogenes" (Heller 1922) Bergey et al. 1923	|		|	authority	|
+1509	|	"Metchnikovillus sporogenes" (sic) Heller 1922	|		|	authority	|
+1509	|	ATCC 3584	|		|	type material	|
+1509	|	BCRC 11259	|		|	type material	|
+1509	|	Bacillus sporogenes var. A	|		|	synonym	|
+1509	|	CCRC 11259	|		|	type material	|
+1509	|	CCUG 15941	|		|	type material	|
+1509	|	CIP 106155	|		|	type material	|
+1509	|	Clostridium sporogenes	|		|	scientific name	|
+1509	|	Clostridium sporogenes (Metchnikoff 1908) Bergey et al. 1923	|		|	authority	|
+1509	|	Clostridium sporogenes var. A	|		|	synonym	|
+1509	|	DSM 795	|		|	type material	|
+1509	|	JCM 1416	|		|	type material	|
+1509	|	LMG 8421	|		|	type material	|
+1509	|	Metchnikovillus sporogenes	|		|	synonym	|
+1509	|	NCIMB 10696	|		|	type material	|
+1509	|	NCTC 13020	|		|	type material	|
+1535	|	ATCC 29065	|		|	type material	|
+1535	|	CCUG 48287	|		|	type material	|
+1535	|	Clostridium leptum	|		|	scientific name	|
+1535	|	Clostridium leptum Moore et al. 1976	|		|	authority	|
+1535	|	DSM 753	|		|	type material	|
+1535	|	[Clostridium] leptum	|		|	equivalent name	|
+1623	|	ATCC 27780	|		|	type material	|
+1623	|	CCUG 39465	|		|	type material	|
+1623	|	CIP 103153	|		|	type material	|
+1623	|	DSM 20403	|		|	type material	|
+1623	|	JCM 1152	|		|	type material	|
+1623	|	LMG 10756	|		|	type material	|
+1623	|	Lactobacillus ruminis	|		|	scientific name	|
+1623	|	Lactobacillus ruminis Sharpe et al. 1973	|		|	authority	|
+1623	|	NBRC 102161	|		|	type material	|
+1623	|	NRRL B-14853	|		|	type material	|
+1633	|	ATCC 49540	|		|	type material	|
+1633	|	CCUG 31452	|		|	type material	|
+1633	|	CIP 105932	|		|	type material	|
+1633	|	DSM 5837	|		|	type material	|
+1633	|	JCM 9505	|		|	type material	|
+1633	|	LMG 12891	|		|	type material	|
+1633	|	Lactobacillus vaginalis	|		|	scientific name	|
+1633	|	Lactobacillus vaginalis Embley et al. 1989	|		|	synonym	|
+1633	|	NCTC 12197	|		|	type material	|
+1656	|	"Odontomyces viscosus" Howell et al. 1965	|		|	synonym	|
+1656	|	ATCC 15987	|		|	type material	|
+1656	|	Actinomyces viscosus	|		|	scientific name	|
+1656	|	Actinomyces viscosus (Howell et al. 1965) Georg et al. 1969	|		|	synonym	|
+1656	|	CCUG 14476	|		|	type material	|
+1656	|	CIP 103147	|		|	type material	|
+1656	|	DSM 43327	|		|	type material	|
+1656	|	JCM 8353	|		|	type material	|
+1656	|	NCTC 10951	|		|	type material	|
+1656	|	Odontomyces viscosus	|		|	synonym	|
+1660	|	ATCC 17929	|		|	type material	|
+1660	|	Actinomyces odontolyticus	|		|	scientific name	|
+1660	|	Actinomyces odontolyticus Batty 1958	|		|	synonym	|
+1660	|	CCUG 20536	|		|	type material	|
+1660	|	CIP 101124	|		|	type material	|
+1660	|	DSM 19120	|		|	type material	|
+1660	|	DSM 43760	|		|	type material	|
+1660	|	JCM 14871	|		|	type material	|
+1660	|	LMG 18080	|		|	type material	|
+1660	|	NCTC 9935	|		|	type material	|
+1681	|	"Actinobacterium bifidum" (Tissier 1900) Puntoni 1937	|		|	authority	|
+1681	|	"Actinomyces bifidus" (Tissier 1900) Nannizzi 1934	|		|	authority	|
+1681	|	"Actinomyces parabifidus" (Weiss and Rettger 1938) Pine and Georg 1965	|		|	authority	|
+1681	|	"Bacillus bifidus communis" Tissier 1900	|		|	authority	|
+1681	|	"Bacillus bifidus" Tissier 1900	|		|	authority	|
+1681	|	"Bacterium bifidum" (Tissier 1900) Lehmann and Neumann 1927	|		|	authority	|
+1681	|	"Bacteroides bifidus" (Tissier 1900) Castellani and Chalmers 1919	|		|	authority	|
+1681	|	"Bifidibacterium bifidum" (Tissier 1900) Prevot 1938	|		|	authority	|
+1681	|	"Cohnistreptothrix bifidus" (Tissier 1900) Negroni and Fischer 1944	|		|	authority	|
+1681	|	"Lactobacillus bifidus type II" Weiss and Rettger 1938	|		|	authority	|
+1681	|	"Lactobacillus parabifidus" Weiss and Rettger 1938	|		|	authority	|
+1681	|	"Nocardia bifida" (Tissier 1900) Vuillemin 1931	|		|	authority	|
+1681	|	"Tissieria bifida" (Tissier 1900) Pribram 1929	|		|	authority	|
+1681	|	AS 1.2212	|		|	type material	|
+1681	|	ATCC 29521	|		|	type material	|
+1681	|	Actinobacterium bifidum	|		|	synonym	|
+1681	|	Actinomyces bifidus	|		|	synonym	|
+1681	|	Actinomyces parabifidus	|		|	synonym	|
+1681	|	BCRC 14615	|		|	type material	|
+1681	|	Bacillus bifidus	|		|	synonym	|
+1681	|	Bacillus bifidus communis	|		|	synonym	|
+1681	|	Bacterium bifidum	|		|	synonym	|
+1681	|	Bacteroides bifidus	|		|	synonym	|
+1681	|	Bifidibacterium bifidum	|		|	synonym	|
+1681	|	Bifidobacterium bifidum	|		|	scientific name	|
+1681	|	Bifidobacterium bifidum (Tissier 1900) Orla-Jensen 1924	|		|	authority	|
+1681	|	CCRC 14615	|		|	type material	|
+1681	|	CCUG 18364	|		|	type material	|
+1681	|	CCUG 45217	|		|	type material	|
+1681	|	CIP 56.7	|		|	type material	|
+1681	|	Cohnistreptothrix bifidus	|		|	synonym	|
+1681	|	DSM 20456	|		|	type material	|
+1681	|	HAMBI 1380	|		|	type material	|
+1681	|	IFO 14252	|		|	type material	|
+1681	|	JCM 1255	|		|	type material	|
+1681	|	KCTC 3202	|		|	type material	|
+1681	|	LMG 11041	|		|	type material	|
+1681	|	LMG 8810	|		|	type material	|
+1681	|	Lactobacillus bifidus type II	|		|	synonym	|
+1681	|	Lactobacillus parabifidus	|		|	synonym	|
+1681	|	NBRC 100015	|		|	type material	|
+1681	|	NBRC 14252	|		|	type material	|
+1681	|	NCFB 2715	|		|	type material	|
+1681	|	NCIMB 702715	|		|	type material	|
+1681	|	NCTC 13001	|		|	type material	|
+1681	|	Nocardia bifida	|		|	synonym	|
+1681	|	Tissieria bifida	|		|	synonym	|
+1681	|	strain Ti	|		|	type material	|
+1689	|	AS 1.2188	|		|	type material	|
+1689	|	ATCC 27534	|		|	type material	|
+1689	|	Actinomyces eriksonii	|		|	synonym	|
+1689	|	BCRC 14662	|		|	type material	|
+1689	|	Bifidobacterium dentium	|		|	scientific name	|
+1689	|	Bifidobacterium dentium Scardovi and Crociani 1974	|		|	authority	|
+1689	|	CCRC 14662	|		|	type material	|
+1689	|	CCUG 18367	|		|	type material	|
+1689	|	CIP 104176	|		|	type material	|
+1689	|	DSM 20436	|		|	type material	|
+1689	|	HAMBI 556	|		|	type material	|
+1689	|	JCM 1195	|		|	type material	|
+1689	|	LMG 10506	|		|	type material	|
+1689	|	LMG 11045	|		|	type material	|
+1689	|	NCFB 2243	|		|	type material	|
+1689	|	NCIMB 702243	|		|	type material	|
+1689	|	NCTC 11816	|		|	type material	|
+1747	|	"Bacillus acnes" Gilchrist 1900	|		|	authority	|
+1747	|	"Corynebacterium acnes" (Gilchrist 1900) Eberson 1918	|		|	authority	|
+1747	|	ATCC 6919	|		|	type material	|
+1747	|	Bacillus acnes	|		|	synonym	|
+1747	|	CCUG 1794	|		|	type material	|
+1747	|	CIP 53.117	|		|	type material	|
+1747	|	Corynebacterium acnes	|		|	synonym	|
+1747	|	DSM 1897	|		|	type material	|
+1747	|	JCM 6425	|		|	type material	|
+1747	|	LMG 16711	|		|	type material	|
+1747	|	NCTC 737	|		|	type material	|
+1747	|	NRRL B-4224	|		|	type material	|
+1747	|	Propionibacterium acnes	|		|	scientific name	|
+1747	|	Propionibacterium acnes (sic) (Gilchrist 1900) Douglas and Gunter 1946	|		|	authority	|
+1747	|	Propionicibacterium acnes	|		|	equivalent name	|
+1747	|	VKM Ac-1450	|		|	type material	|
+1827	|	Rhodococcus	|		|	scientific name	|
+1827	|	Rhodococcus Zopf 1891	|		|	authority	|
+2051	|	ATCC 35241	|		|	type material	|
+2051	|	ATCC 43063 [[Falcivibrio vaginalis]]	|		|	type material	|
+2051	|	CCUG 21018	|		|	type material	|
+2051	|	CCUG 24716 [[Falcivibrio vaginalis]]	|		|	type material	|
+2051	|	DSM 23059	|		|	type material	|
+2051	|	DSM 2711 [[Falcivibrio vaginalis]]	|		|	type material	|
+2051	|	Falcivibrio vaginalis	|		|	synonym	|
+2051	|	Falcivibrio vaginalis Hammann et al. 1984	|		|	authority	|
+2051	|	LMG 7856 [[Falcivibrio vaginalis]]	|		|	type material	|
+2051	|	Mobiluncus curtisii	|		|	scientific name	|
+2051	|	Mobiluncus curtisii Spiegel and Roberts 1984 emend. Hoyles et al. 2004	|		|	authority	|
+2051	|	NCTC 11656	|		|	type material	|
+2051	|	NCTC 11820 [[Falcivibrio vaginalis]]	|		|	type material	|
+2051	|	strain BV345-16	|		|	type material	|
+2051	|	strain V125 [[Falcivibrio vaginalis]]	|		|	type material	|
+2173	|	ATCC 35061	|		|	type material	|
+2173	|	DSM 861	|		|	type material	|
+2173	|	Methanobrevibacter smithii	|		|	scientific name	|
+2173	|	Methanobrevibacter smithii Balch and Wolfe 1981	|		|	authority	|
+2173	|	OCM 144	|		|	type material	|
+2173	|	strain PS	|		|	type material	|
+9606	|	Homo sapiens	|		|	scientific name	|
+9606	|	Homo sapiens Linnaeus, 1758	|		|	authority	|
+9606	|	human	|		|	genbank common name	|
+9606	|	man	|		|	common name	|
+10090	|	LK3 transgenic mice	|		|	includes	|
+10090	|	Mus muscaris	|		|	misnomer	|
+10090	|	Mus musculus	|		|	scientific name	|
+10090	|	Mus musculus Linnaeus, 1758	|		|	authority	|
+10090	|	Mus sp. 129SV	|		|	includes	|
+10090	|	house mouse	|		|	genbank common name	|
+10090	|	mice C57BL/6xCBA/CaJ hybrid	|		|	misspelling	|
+10090	|	mouse	|		|	common name	|
+10090	|	nude mice	|		|	includes	|
+10090	|	transgenic mice	|		|	includes	|
+10401	|	Channel catfish virus	|		|	genbank common name	|
+10401	|	IcHV-1	|		|	genbank acronym	|
+10401	|	Ictalurid herpesvirus 1	|		|	scientific name	|
+10401	|	channel catfish virus CCV	|		|	synonym	|
+10493	|	FV3	|		|	acronym	|
+10493	|	Frog virus 3	|		|	scientific name	|
+10493	|	Frog virus 3 iridovirus	|		|	synonym	|
+10493	|	frog virus 3 FV3	|		|	synonym	|
+10493	|	frog virus 3, FV3	|		|	synonym	|
+10506	|	Chlorella PBCV-1 virus	|		|	synonym	|
+10506	|	Chlorella virus PBCV-1	|		|	synonym	|
+10506	|	PBCV-1	|		|	acronym	|
+10506	|	Paramecium bursaria Chlorella virus 1	|		|	scientific name	|
+10506	|	Paramecium bursaria Chlorella virus 1, PBCV-1	|		|	synonym	|
+10506	|	Paramecium bursaria Chlorella virus PBCV-1	|		|	synonym	|
+10726	|	Bacteriophage T5	|		|	synonym	|
+10726	|	Enterobacteria phage T5	|		|	scientific name	|
+10726	|	phage T5	|		|	synonym	|
+11128	|	BCV	|		|	acronym	|
+11128	|	BECV	|		|	acronym	|
+11128	|	Bovine coronavirus	|		|	scientific name	|
+11128	|	Bovine enteritic coronavirus	|		|	synonym	|
+11128	|	Bovine enteritic coronavirus BECV	|		|	synonym	|
+11128	|	bovine coronavirus BCV	|		|	synonym	|
+11128	|	bovine enteric coronavirus	|		|	synonym	|
+11128	|	calf diarrheal coronavirus	|		|	synonym	|
+11128	|	neonatal calf diarrhea virus	|		|	synonym	|
+11142	|	Murine coronavirus mhv (STRAIN A59)	|		|	synonym	|
+11142	|	Murine hepatitis virus (strain A59)	|		|	synonym	|
+11142	|	Murine hepatitis virus strain A59	|		|	scientific name	|
+11144	|	Murine coronavirus mhv (STRAIN JHM)	|		|	synonym	|
+11144	|	Murine hepatitis virus (strain JHM)	|		|	synonym	|
+11144	|	Murine hepatitis virus strain JHM	|		|	scientific name	|
+13690	|	ATCC 51230	|		|	type material	|
+13690	|	Beijerinckia B1	|		|	includes	|
+13690	|	Beijerinckia sp. B1	|		|	includes	|
+13690	|	CCUG 28380	|		|	type material	|
+13690	|	CCUG 31205	|		|	type material	|
+13690	|	CIP 106726	|		|	type material	|
+13690	|	DSM 7462	|		|	type material	|
+13690	|	GIFU 9882	|		|	type material	|
+13690	|	HAMBI 1842	|		|	type material	|
+13690	|	IFO 15102	|		|	type material	|
+13690	|	JCM 7371	|		|	type material	|
+13690	|	LMG 11252	|		|	type material	|
+13690	|	NBRC 15102	|		|	type material	|
+13690	|	Sphingobium yanoikuyae	|		|	scientific name	|
+13690	|	Sphingobium yanoikuyae (Yabuuchi et al. 1990) Takeuchi et al. 2001	|		|	synonym	|
+13690	|	Sphingomonas yanoikuyae	|		|	genbank synonym	|
+13690	|	Sphingomonas yanoikuyae Yabuuchi et al. 1990	|		|	synonym	|
+28037	|	ATCC 49456	|	ATCC 49456 <neotype strain>	|	type material	|
+28037	|	CCUG 31611	|	CCUG 31611 <neotype strain>	|	type material	|
+28037	|	CCUG 35790	|	CCUG 35790 <neotype strain>	|	type material	|
+28037	|	CIP 103335	|	CIP 103335 <neotype strain>	|	type material	|
+28037	|	DSM 12643	|	DSM 12643 <neotype strain>	|	type material	|
+28037	|	JCM 12971	|	JCM 12971 <neotype strain>	|	type material	|
+28037	|	LMG 14557	|	LMG 14557 <neotype strain>	|	type material	|
+28037	|	NCTC 12261	|	NCTC 12261 <neotype strain>	|	type material	|
+28037	|	Streptococcus mitis	|		|	scientific name	|
+28037	|	Streptococcus mitis Andrewes and Horder 1906 (Approved Lists 1980) emend. Kilian et al. 1989	|		|	authority	|
+28037	|	Streptococcus mitis Andrewes and Horder 1906 emend. Judicial Commission 1993	|		|	authority	|
+28037	|	strain NS 51	|	strain NS 51 <neotype strain>	|	type material	|
+28080	|	ATCC 43954	|		|	type material	|
+28080	|	CCUG 14913	|		|	type material	|
+28080	|	CIP 103681	|		|	type material	|
+28080	|	CNW group	|		|	synonym	|
+28080	|	Campylobacter upsaliensis	|		|	scientific name	|
+28080	|	Campylobacter upsaliensis Sandstedt and Ursing 1991	|		|	authority	|
+28080	|	DSM 5365	|		|	type material	|
+28080	|	NCTC 11541	|		|	type material	|
+28080	|	catalase-negative or weak group of campylobacteria	|		|	synonym	|
+28111	|	ATCC 27754	|		|	type material	|
+28111	|	Bacteroides eggerthii	|		|	scientific name	|
+28111	|	Bacteroides eggerthii Holdeman and Moore 1974	|		|	authority	|
+28111	|	CCUG 9559	|		|	type material	|
+28111	|	CIP 104285	|		|	type material	|
+28111	|	DSM 20697	|		|	type material	|
+28111	|	JCM 12986	|		|	type material	|
+28111	|	NCTC 11155	|		|	type material	|
+28116	|	"Bacteroides fragilis subsp. ovatus" (Eggerth and Gagnon 1933) Holdeman and Moore 1970	|		|	authority	|
+28116	|	"Pasteurella ovata" (Eggerth and Gagnon 1933) Prevot 1938	|		|	authority	|
+28116	|	"Pseudobacterium ovatum" (Eggerth and Gagnon 1933) Krasil'nikov 1949	|		|	authority	|
+28116	|	ATCC 8483	|		|	type material	|
+28116	|	BCRC 10623	|		|	type material	|
+28116	|	Bacteroides fragilis subsp. ovatus	|		|	synonym	|
+28116	|	Bacteroides ovatus	|		|	scientific name	|
+28116	|	Bacteroides ovatus Eggerth and Gagnon 1933	|		|	authority	|
+28116	|	CCRC 10623	|		|	type material	|
+28116	|	CCUG 4943	|		|	type material	|
+28116	|	CIP 103756	|		|	type material	|
+28116	|	DSM 1896	|		|	type material	|
+28116	|	JCM 5824	|		|	type material	|
+28116	|	NCTC 11153	|		|	type material	|
+28116	|	Pasteurella ovata	|		|	synonym	|
+28116	|	Pseudobacterium ovatum	|		|	synonym	|
+28117	|	"Bacillus putredinis" Weinberg et al. 1937	|		|	authority	|
+28117	|	"Pseudobacterium putredinis" (Weinberg et al. 1937) Krasil'nikov 1949	|		|	authority	|
+28117	|	"Ristella putredinis" (Weinberg et al. 1937) Prevot 1938	|		|	authority	|
+28117	|	ATCC 29800	|		|	type material	|
+28117	|	Alistipes putredinis	|		|	scientific name	|
+28117	|	Alistipes putredinis (Weinberg et al. 1937) Rautio et al. 2003	|		|	authority	|
+28117	|	Bacillus putredinis	|		|	synonym	|
+28117	|	Bacteroides putredenis	|		|	misspelling	|
+28117	|	Bacteroides putredinis	|		|	synonym	|
+28117	|	Bacteroides putredinis (Weinberg et al. 1937) Kelly 1957 (Approved Lists 1980)	|		|	authority	|
+28117	|	CCUG 45780	|		|	type material	|
+28117	|	CIP 104286	|		|	type material	|
+28117	|	DSM 17216	|		|	type material	|
+28117	|	JCM 16772	|		|	type material	|
+28117	|	Pseudobacterium putredinis	|		|	synonym	|
+28117	|	Ristella putredinis	|		|	synonym	|
+28124	|	ATCC 35406	|		|	type material	|
+28124	|	Bacteroides endodontalis	|		|	synonym	|
+28124	|	Bacteroides endodontalis van Steenbergen et al. 1984	|		|	authority	|
+28124	|	DSM 24491	|		|	type material	|
+28124	|	JCM 8526	|		|	type material	|
+28124	|	NCTC 13058	|		|	type material	|
+28124	|	Porphyromonas endodontalis	|		|	scientific name	|
+28124	|	Porphyromonas endodontalis (van Steenbergen et al. 1984) Shah and Collins 1988	|		|	authority	|
+28124	|	strain HG370	|		|	type material	|
+28127	|	ATCC 35310	|		|	type material	|
+28127	|	Bacteroides buccalis	|		|	synonym	|
+28127	|	Bacteroides buccalis Shah and Collins 1982	|		|	synonym	|
+28127	|	CCUG 15557	|		|	type material	|
+28127	|	DSM 20616	|		|	type material	|
+28127	|	JCM 12246	|		|	type material	|
+28127	|	NCDO 2354	|		|	type material	|
+28127	|	NCTC 13064	|		|	type material	|
+28127	|	Prevotella buccalis	|		|	scientific name	|
+28127	|	Prevotella buccalis (Shah and Collins 1982) Shah and Collins 1990	|		|	synonym	|
+28133	|	ATCC 33563	|		|	type material	|
+28133	|	CCUG 9560	|		|	type material	|
+28133	|	CIP 105552	|		|	type material	|
+28133	|	DSM 13386	|		|	type material	|
+28133	|	JCM 12250	|		|	type material	|
+28133	|	JCM 6322	|		|	type material	|
+28133	|	NCTC 9336	|		|	type material	|
+28133	|	Prevotella nigrescens	|		|	scientific name	|
+28133	|	Prevotella nigrescens Shah and Gharbia 1992	|		|	authority	|
+28133	|	VPI 8944	|		|	type material	|
+28133	|	strain Lambe 729-74	|		|	type material	|
+28134	|	"Ristella oralis" (Loesche et al. 1964) Prevot et al. 1967	|		|	authority	|
+28134	|	ATCC 33269	|		|	type material	|
+28134	|	Bacteroides oralis	|		|	synonym	|
+28134	|	Bacteroides oralis Loesche et al. 1964 (Approved Lists 1980)	|		|	authority	|
+28134	|	CCUG 15408	|		|	type material	|
+28134	|	DSM 20702	|		|	type material	|
+28134	|	JCM 12251	|		|	type material	|
+28134	|	NCTC 11459	|		|	type material	|
+28134	|	Prevotella oralis	|		|	scientific name	|
+28134	|	Prevotella oralis (Loesche et al. 1964) Shah and Collins 1990	|		|	authority	|
+28134	|	Ristella oralis	|		|	synonym	|
+28134	|	VPI D27B-24	|		|	type material	|
+28135	|	ATCC 33573	|		|	type material	|
+28135	|	Bacteroides oris	|		|	synonym	|
+28135	|	Bacteroides oris Holdeman et al. 1982	|		|	authority	|
+28135	|	CCUG 15405	|		|	type material	|
+28135	|	CIP 104480	|		|	type material	|
+28135	|	DSM 18711	|		|	type material	|
+28135	|	JCM 12252	|		|	type material	|
+28135	|	JCM 8540	|		|	type material	|
+28135	|	NCTC 13071	|		|	type material	|
+28135	|	Prevotella oris	|		|	scientific name	|
+28135	|	Prevotella oris (Holdeman et al. 1982) Shah and Collins 1990	|		|	authority	|
+28135	|	VPI D1A-1A	|		|	type material	|
+28137	|	ATCC 33779	|		|	type material	|
+28137	|	Bacteroides veroralis	|		|	synonym	|
+28137	|	Bacteroides veroralis Watabe et al. 1983	|		|	authority	|
+28137	|	CCUG 15422	|		|	type material	|
+28137	|	JCM 6290	|		|	type material	|
+28137	|	Prevotella veroralis	|		|	scientific name	|
+28137	|	Prevotella veroralis (Watabe et al. 1983) Shah and Collins 1990 emend. Wu et al. 1992	|		|	authority	|
+28137	|	VPI D22A-7	|		|	type material	|
+28197	|	ATCC 49616	|		|	type material	|
+28197	|	Arcibacter butzleri	|		|	equivalent name	|
+28197	|	Arcobacter butzleri	|		|	scientific name	|
+28197	|	Arcobacter butzleri (Kiehlbauch et al. 1991) Vandamme et al. 1992	|		|	authority	|
+28197	|	Arcobacter butzlerii	|		|	misspelling	|
+28197	|	Arquibacter butzleri	|		|	equivalent name	|
+28197	|	CCUG 30485	|		|	type material	|
+28197	|	CDC D2686	|		|	type material	|
+28197	|	CIP 103493	|		|	type material	|
+28197	|	CIP 103537	|		|	type material	|
+28197	|	Campylobacter butzleri	|		|	synonym	|
+28197	|	Campylobacter butzleri Kiehlbauch et al. 1991	|		|	authority	|
+28197	|	DSM 8739	|		|	type material	|
+28197	|	LMG 10828	|		|	type material	|
+28197	|	NCTC 12481	|		|	type material	|
+28197	|	strain D2686	|		|	type material	|
+28211	|	"Alphabacteria" Cavalier-Smith 1992	|		|	authority	|
+28211	|	Alphabacteria	|		|	synonym	|
+28211	|	Alphabacteria Cavalier-Smith 2002	|		|	authority	|
+28211	|	Alphaproteobacteria	|		|	scientific name	|
+28211	|	Alphaproteobacteria Garrity et al. 2006	|		|	authority	|
+28211	|	Proteobacteria alpha subdivision	|		|	synonym	|
+28211	|	Purple bacteria, alpha subdivision	|		|	synonym	|
+28211	|	a-proteobacteria	|	alpha proteos<blast28211>	|	blast name	|
+28211	|	alpha proteobacteria	|		|	synonym	|
+28211	|	alpha subdivision	|		|	synonym	|
+28211	|	alpha subgroup	|		|	synonym	|
+28449	|	"Micrococcus subflavus" Flugge 1886	|		|	authority	|
+28449	|	ATCC 49275	|		|	type material	|
+28449	|	CCUG 23930	|		|	type material	|
+28449	|	CIP 103343	|		|	type material	|
+28449	|	DSM 17610	|		|	type material	|
+28449	|	LMG 5313	|		|	type material	|
+28449	|	Micrococcus subflavus	|		|	synonym	|
+28449	|	NRL 30,017	|		|	type material	|
+28449	|	Neisseria subflava	|		|	scientific name	|
+28449	|	Neisseria subflava (Flugge 1886) Trevisan 1889	|		|	authority	|
+28449	|	strain U37	|		|	type material	|
+29321	|	ATCC 51513	|		|	type material	|
+29321	|	CCUG 32254	|		|	type material	|
+29321	|	CDC coryneform group ANF-1 like	|		|	synonym	|
+29321	|	CIP 104075	|		|	type material	|
+29321	|	Corynebacterium otitidis	|		|	synonym	|
+29321	|	DSM 8821	|		|	type material	|
+29321	|	JCM 12146	|		|	type material	|
+29321	|	LMG 19071	|		|	type material	|
+29321	|	Turicella otitidis	|		|	scientific name	|
+29321	|	Turicella otitidis Funke et al. 1994	|		|	authority	|
+29321	|	strain 234/92	|		|	type material	|
+29347	|	ATCC 35704	|		|	type material	|
+29347	|	CIP 106687	|		|	type material	|
+29347	|	Clostridium scindens	|		|	scientific name	|
+29347	|	Clostridium scindens Morris et al. 1985	|		|	authority	|
+29347	|	DSM 5676	|		|	type material	|
+29347	|	Eubacterium VPI-12708	|		|	includes	|
+29347	|	Eubacterium sp. (strain VPI 12708)	|		|	includes	|
+29347	|	Eubacterium sp. VPI 12708	|		|	includes	|
+29347	|	Eubacterium sp. VPI-12708	|		|	includes	|
+29347	|	JCM 6567	|		|	type material	|
+29347	|	[Clostridium] scindens	|		|	equivalent name	|
+29347	|	strain Bokkenheuser 19	|		|	type material	|
+29348	|	ATCC 29900	|		|	type material	|
+29348	|	CCUG 46510	|		|	type material	|
+29348	|	CIP 106966	|		|	type material	|
+29348	|	Clostridium spiroforme	|		|	equivalent name	|
+29348	|	Clostridium spiroforme Kaneuchi et al. 1979	|		|	authority	|
+29348	|	DSM 1552	|		|	type material	|
+29348	|	JCM 1432	|		|	type material	|
+29348	|	NCTC 11211	|		|	type material	|
+29348	|	VPI C28-23-1A	|		|	type material	|
+29348	|	[Clostridium] spiroforme	|		|	scientific name	|
+29361	|	ATCC 27757	|		|	type material	|
+29361	|	Clostridium nexile	|		|	scientific name	|
+29361	|	Clostridium nexile Holdeman and Moore 1974	|		|	authority	|
+29361	|	DSM 1787	|		|	type material	|
+29361	|	[Clostridium] nexile	|		|	equivalent name	|
+29380	|	ATCC 35538	|		|	type material	|
+29380	|	CCM 3573	|		|	type material	|
+29380	|	CCUG 15604	|		|	type material	|
+29380	|	CIP 104000	|		|	type material	|
+29380	|	DSM 20608	|		|	type material	|
+29380	|	NCTC 12196	|		|	type material	|
+29380	|	NRRL B-14757	|		|	type material	|
+29380	|	Staphylococcus caprae	|		|	scientific name	|
+29380	|	Staphylococcus caprae Devriese et al. 1983 emend. Kawamura et al. 1998	|		|	synonym	|
+29380	|	strain 143.22	|		|	type material	|
+29388	|	ATCC 27840	|		|	type material	|
+29388	|	CCM 2734	|		|	type material	|
+29388	|	CCUG 7326	|		|	type material	|
+29388	|	CIP 81.53	|		|	type material	|
+29388	|	DSM 20326	|		|	type material	|
+29388	|	JCM 2420	|		|	type material	|
+29388	|	LMG 13353	|		|	type material	|
+29388	|	NCTC 11045	|		|	type material	|
+29388	|	NRRL B-14752	|		|	type material	|
+29388	|	Staphylococcus capiti	|		|	misspelling	|
+29388	|	Staphylococcus capitis	|		|	scientific name	|
+29388	|	Staphylococcus capitis Kloos and Schleifer 1975	|		|	synonym	|
+29466	|	"Micrococcus gazogenes alcalescens anaerobius" Lewkowicz 1901	|		|	authority	|
+29466	|	"Micrococcus gazogenes" Hall and Howitt 1925	|		|	authority	|
+29466	|	"Micrococcus lactilyticus" Foubert and Douglas 1948	|		|	authority	|
+29466	|	"Staphylococcus parvulus" Veillon and Zuber 1898	|		|	authority	|
+29466	|	"Veillonella gazogenes" (Hall and Howitt 1925) Murray 1939	|		|	authority	|
+29466	|	ATCC 10790	|		|	type material	|
+29466	|	CCUG 5123	|		|	type material	|
+29466	|	DSM 2008	|		|	type material	|
+29466	|	JCM 12972	|		|	type material	|
+29466	|	Micrococcus gazogenes	|		|	synonym	|
+29466	|	Micrococcus gazogenes alcalescens anaerobius	|		|	synonym	|
+29466	|	Micrococcus lactilyticus	|		|	synonym	|
+29466	|	NCTC 11810	|		|	type material	|
+29466	|	Staphylococcus parvulus	|		|	synonym	|
+29466	|	Veillonella alcalescens	|		|	synonym	|
+29466	|	Veillonella alcalescens Prevot 1933	|		|	authority	|
+29466	|	Veillonella gazogenes	|		|	synonym	|
+29466	|	Veillonella parvula	|		|	scientific name	|
+29466	|	Veillonella parvula (Veillon and Zuber 1898) Prevot 1933 (AL 1980) emend. Mays et al. 1982	|		|	authority	|
+29466	|	not "Micrococcus gazogenes" Choukevitch 1911	|		|	authority	|
+31631	|	HCoV-OC43	|		|	genbank acronym	|
+31631	|	Human coronavirus (strain OC43)	|		|	synonym	|
+31631	|	Human coronavirus OC43	|		|	scientific name	|
+31631	|	Human coronavirus strain OC43	|		|	synonym	|
+31732	|	PWV	|		|	acronym	|
+31732	|	Passion fruit woodiness potyvirus	|		|	synonym	|
+31732	|	Passion fruit woodiness virus	|		|	scientific name	|
+31732	|	Passionfruit woodiness virus	|		|	synonym	|
+33030	|	"Micrococcus indolicus" Christiansen 1934	|		|	authority	|
+33030	|	"Schleiferella indolica" Rajendram et al. 2001	|		|	authority	|
+33030	|	ATCC 29427	|		|	type material	|
+33030	|	CCUG 17639	|		|	type material	|
+33030	|	CCUG 46591	|		|	type material	|
+33030	|	DSM 20464	|		|	type material	|
+33030	|	Micrococcus indolicus	|		|	synonym	|
+33030	|	NCTC 11088	|		|	type material	|
+33030	|	Peptococcus indolicus	|		|	synonym	|
+33030	|	Peptococcus indolicus (Christiansen 1934) Sorensen 1975 (Approved Lists 1980)	|		|	authority	|
+33030	|	Peptoniphilus indolicus	|		|	scientific name	|
+33030	|	Peptoniphilus indolicus (Christiansen 1934) Ezaki et al. 2001	|		|	authority	|
+33030	|	Peptostreptococcus indolicus	|		|	synonym	|
+33030	|	Peptostreptococcus indolicus (Christiansen 1934) Ezaki et al. 1983	|		|	authority	|
+33030	|	Schleiferella indolica	|		|	synonym	|
+33032	|	ATCC 51172	|		|	type material	|
+33032	|	Anaerococcus lactolyticus	|		|	scientific name	|
+33032	|	Anaerococcus lactolyticus (Li et al. 1992) Ezaki et al. 2001	|		|	authority	|
+33032	|	CCUG 31351	|		|	type material	|
+33032	|	CIP 103725	|		|	type material	|
+33032	|	DSM 7456	|		|	type material	|
+33032	|	GIFU 8586	|		|	type material	|
+33032	|	JCM 8140	|		|	type material	|
+33032	|	Peptostreptococcus lactolyticus	|		|	synonym	|
+33032	|	Peptostreptococcus lactolyticus Li et al. 1992	|		|	authority	|
+33033	|	"Streptococcus anaerobius micros" Lewkowicz 1901	|		|	authority	|
+33033	|	"Streptococcus micros" Prevot 1933	|		|	authority	|
+33033	|	'Diplococcus glycinophilus'	|		|	synonym	|
+33033	|	ATCC 33270	|		|	type material	|
+33033	|	CCUG 17638	|		|	type material	|
+33033	|	CCUG 17638 A	|		|	type material	|
+33033	|	CCUG 46357	|		|	type material	|
+33033	|	CIP 105294	|		|	type material	|
+33033	|	DSM 20468	|		|	type material	|
+33033	|	Diplococcus glycinophilus	|		|	synonym	|
+33033	|	JCM 12970	|		|	type material	|
+33033	|	KCTC 5196	|		|	type material	|
+33033	|	Micromonas micros	|		|	misnomer	|
+33033	|	Micromonas micros (Prevot 1933) Murdoch and Shah 2000	|		|	authority	|
+33033	|	NCTC 11808	|		|	type material	|
+33033	|	Parvimonas micra	|		|	scientific name	|
+33033	|	Parvimonas micra (Prevot 1933) Tindall and Euzeby 2006	|		|	authority	|
+33033	|	Peptococcus glycinophilus	|		|	synonym	|
+33033	|	Peptostreptococcus micros	|		|	synonym	|
+33033	|	Peptostreptococcus micros (Prevot 1933) Smith 1957 (Approved Lists 1980)	|		|	authority	|
+33033	|	Streptococcus anaerobius micros	|		|	synonym	|
+33033	|	Streptococcus micros	|		|	synonym	|
+33033	|	strain 3119B	|		|	type material	|
+33036	|	"Gaffkya anaerobius" (sic) (Choukevitch 1911) Prevot 1933	|		|	authority	|
+33036	|	"Tetracoccus anaerobius" Choukevitch 1911	|		|	authority	|
+33036	|	ATCC 35098	|		|	type material	|
+33036	|	Anaerococcus tetradius	|		|	scientific name	|
+33036	|	Anaerococcus tetradius (Ezaki et al. 1983) Ezaki et al. 2001	|		|	authority	|
+33036	|	CCM 3634	|		|	type material	|
+33036	|	CCUG 17637	|		|	type material	|
+33036	|	CCUG 46590	|		|	type material	|
+33036	|	CIP 103927	|		|	type material	|
+33036	|	DSM 2951	|		|	type material	|
+33036	|	GIFU 7672	|		|	type material	|
+33036	|	Gaffkya anaerobius	|		|	synonym	|
+33036	|	JCM 1964	|		|	type material	|
+33036	|	LMG 14264	|		|	type material	|
+33036	|	Peptostreptococcus tetradius	|		|	synonym	|
+33036	|	Peptostreptococcus tetradius (ex Choukevitch 1911) Ezaki et al. 1983	|		|	authority	|
+33036	|	Tetracoccus anaerobius	|		|	synonym	|
+33038	|	ATCC 29149	|		|	type material	|
+33038	|	Ruminococcus gnavus	|		|	equivalent name	|
+33038	|	Ruminococcus gnavus Moore et al. 1976	|		|	authority	|
+33038	|	Ruminococcus gravus	|		|	misspelling	|
+33038	|	VPI C7-9	|		|	type material	|
+33038	|	[Ruminococcus] gnavus	|		|	scientific name	|
+33043	|	ATCC 27759	|		|	type material	|
+33043	|	Coprococcus eutactus	|		|	scientific name	|
+33043	|	Coprococcus eutactus Holdeman and Moore 1974	|		|	synonym	|
+37372	|	ATCC 51630	|		|	type material	|
+37372	|	CCUG 38995 B	|		|	type material	|
+37372	|	CIP 104752	|		|	type material	|
+37372	|	Flexispira rappini species 8	|		|	includes	|
+37372	|	Flexispira taxon 9	|		|	includes	|
+37372	|	Helicobacter bilis	|		|	scientific name	|
+37372	|	Helicobacter bilis Fox et al. 1997	|		|	authority	|
+37372	|	Helicobacter sp. 'Flexispira taxon 2'	|		|	includes	|
+37372	|	Helicobacter sp. 'Flexispira taxon 3'	|		|	includes	|
+37372	|	Helicobacter sp. 'Flexispira taxon 8'	|		|	includes	|
+37372	|	Helicobacter sp. 'Flexispira taxon 9'	|		|	includes	|
+37372	|	Helicobacter sp. ATCC 43879	|		|	includes	|
+37372	|	Helicobacter sp. ATCC 49314	|		|	includes	|
+37372	|	Helicobacter sp. ATCC 49317	|		|	includes	|
+37372	|	Helicobacter sp. ATCC 49320	|		|	includes	|
+37372	|	strain Hb1	|	strain Hb1 <Helicobacter bilis>	|	type material	|
+38303	|	"Corynebacterium pseudogenitalium" Furness et al. 1979	|		|	synonym	|
+38303	|	Corynebacterium pseudogenitalium	|		|	scientific name	|
+38304	|	"Corynebacterium tuberculostearicum" Brown et al. 1984	|		|	synonym	|
+38304	|	ATCC 35692	|		|	type material	|
+38304	|	CCUG 45418	|		|	type material	|
+38304	|	CIP 107291	|		|	type material	|
+38304	|	Corynebacterium sp. CIP101775	|		|	includes	|
+38304	|	Corynebacterium sp. CIP102076	|		|	includes	|
+38304	|	Corynebacterium sp. CIP102124	|		|	includes	|
+38304	|	Corynebacterium sp. CIP102211	|		|	includes	|
+38304	|	Corynebacterium sp. CIP102346	|		|	includes	|
+38304	|	Corynebacterium sp. CIP102590	|		|	includes	|
+38304	|	Corynebacterium sp. CIP102622	|		|	includes	|
+38304	|	Corynebacterium sp. CIP102645	|		|	includes	|
+38304	|	Corynebacterium sp. CIP102857	|		|	includes	|
+38304	|	Corynebacterium sp. CIP107067	|		|	includes	|
+38304	|	Corynebacterium sp. CIP107291	|		|	includes	|
+38304	|	Corynebacterium tuberculostearicum	|		|	scientific name	|
+38304	|	Corynebacterium tuberculostearicum Feurer et al. 2004	|		|	synonym	|
+38304	|	DSM 44922	|		|	type material	|
+38304	|	JCM 13389	|		|	type material	|
+38304	|	strain LDC-20	|		|	type material	|
+38304	|	strain Medalle X	|		|	type material	|
+39488	|	ATCC 27751	|		|	type material	|
+39488	|	DSM 3353	|		|	type material	|
+39488	|	Eubacterium halii	|		|	misspelling	|
+39488	|	Eubacterium hallii	|		|	scientific name	|
+39488	|	Eubacterium hallii Holdeman and Moore 1974	|		|	authority	|
+39488	|	VPI B4-27	|		|	type material	|
+39488	|	[Eubacterium] hallii	|		|	equivalent name	|
+39496	|	"Bacillus ventriosus" Tissier 1908	|		|	authority	|
+39496	|	"Bacteroides ventriosus" (Tissier 1908) Eggerth 1935	|		|	authority	|
+39496	|	"Pseudobacterium ventriosum" (Tissier 1908) Krasil'nikov 1949	|		|	authority	|
+39496	|	ATCC 27560	|		|	type material	|
+39496	|	Bacillus ventriosus	|		|	synonym	|
+39496	|	Bacteroides ventriosus	|		|	synonym	|
+39496	|	DSM 3988	|		|	type material	|
+39496	|	Eubacterium ventriosum	|		|	scientific name	|
+39496	|	Eubacterium ventriosum (Tissier 1908) Prevot 1938	|		|	authority	|
+39496	|	Pseudobacterium ventriosum	|		|	synonym	|
+39496	|	[Eubacterium] ventriosum	|		|	equivalent name	|
+39778	|	ATCC 17748	|		|	type material	|
+39778	|	DSM 20735	|		|	type material	|
+39778	|	NCTC 11831	|		|	type material	|
+39778	|	Veillonella alcalescens subsp. dispar	|		|	synonym	|
+39778	|	Veillonella dispar	|		|	scientific name	|
+39778	|	Veillonella dispar (Rogosa 1965) Mays et al. 1982	|		|	synonym	|
+40091	|	ATCC 51366	|		|	type material	|
+40091	|	CCUG 32213	|		|	type material	|
+40091	|	CIP 103932	|		|	type material	|
+40091	|	DSM 10548	|		|	type material	|
+40091	|	Helcococcus kunzii	|		|	scientific name	|
+40091	|	Helcococcus kunzii Collins et al. 1993	|		|	authority	|
+40091	|	Helococcus kunzii	|		|	misspelling	|
+40091	|	IFO 15552	|		|	type material	|
+40091	|	LMG 15123	|		|	type material	|
+40091	|	NBRC 15552	|		|	type material	|
+40091	|	NCFB 2900	|		|	type material	|
+40091	|	NCIMB 702900	|		|	type material	|
+40091	|	strain n. 22	|		|	type material	|
+40215	|	ATCC 17908	|		|	type material	|
+40215	|	Acinetobacter genomosp. 5	|		|	synonym	|
+40215	|	Acinetobacter genomospecies 5	|		|	synonym	|
+40215	|	Acinetobacter grimontii	|		|	genbank synonym	|
+40215	|	Acinetobacter grimontii Carr et al. 2003	|		|	authority	|
+40215	|	Acinetobacter junii	|		|	scientific name	|
+40215	|	Acinetobacter junii Bouvet and Grimont 1986	|		|	authority	|
+40215	|	CCUG 889	|		|	type material	|
+40215	|	CIP 64.5	|		|	type material	|
+40215	|	DSM 6964	|		|	type material	|
+40215	|	LMG 998	|		|	type material	|
+40215	|	NCTC 12153	|		|	type material	|
+40215	|	strain Mannheim 2723/59	|		|	type material	|
+40216	|	ATCC 43998	|		|	type material	|
+40216	|	Acinetobacter genomosp. 12	|		|	synonym	|
+40216	|	Acinetobacter genomospecies 12	|		|	synonym	|
+40216	|	Acinetobacter radiiresistens	|		|	misspelling	|
+40216	|	Acinetobacter radioresistens	|		|	scientific name	|
+40216	|	Acinetobacter radioresistens Nishimura et al. 1988	|		|	authority	|
+40216	|	CIP 103788	|		|	type material	|
+40216	|	DSM 6976	|		|	type material	|
+40216	|	IAM 13186	|		|	type material	|
+40216	|	JCM 9326	|		|	type material	|
+40216	|	LMG 10613	|		|	type material	|
+40216	|	NBRC 102413	|		|	type material	|
+40216	|	strain FO-1	|		|	type material	|
+40520	|	ATCC 29174	|		|	type material	|
+40520	|	DSM 25238	|		|	type material	|
+40520	|	Eubacterium obeum	|		|	misspelling	|
+40520	|	Ruminococcus obeum	|		|	equivalent name	|
+40520	|	Ruminococcus obeum Moore et al. 1976	|		|	authority	|
+40520	|	[Ruminococcus] obeum	|		|	scientific name	|
+41294	|	'Bradyrhizobiaceae'	|		|	synonym	|
+41294	|	BANA domain	|		|	synonym	|
+41294	|	Bradyrhizobiaceae	|		|	scientific name	|
+41294	|	Bradyrhizobium group	|		|	synonym	|
+41294	|	Nitrobacteraceae	|		|	includes	|
+41294	|	Nitrobacteraceae Buchanan 1917	|		|	includes	|
+41294	|	Nitrobacteriaceae	|		|	misspelling	|
+41294	|	alpha-2 proteobacteria	|	alpha-2 proteobacteria <2>	|	in-part	|
+42005	|	HEV	|	HEV <#2>	|	acronym	|
+42005	|	Hemagglutinating encephalomyelitis virus	|		|	synonym	|
+42005	|	PHEV	|		|	acronym	|
+42005	|	Porcine hemagglutinating encephalomyelitis coronavirus	|		|	synonym	|
+42005	|	Porcine hemagglutinating encephalomyelitis virus	|		|	scientific name	|
+42005	|	porcine hemagglutinating encephalomyelitis virus HEV	|		|	misspelling	|
+42475	|	RRSV	|		|	acronym	|
+42475	|	Rice ragged stunt virus	|		|	scientific name	|
+42475	|	rice ragged stunt oryzavirus	|		|	synonym	|
+43675	|	"Micrococcus mucilaginosus" Migula 1900	|		|	authority	|
+43675	|	ATCC 25296	|		|	type material	|
+43675	|	CCM 2417	|		|	type material	|
+43675	|	CCUG 20962	|		|	type material	|
+43675	|	CIP 71.14	|		|	type material	|
+43675	|	DSM 20746	|		|	type material	|
+43675	|	IFO 15673	|		|	type material	|
+43675	|	JCM 10910	|		|	type material	|
+43675	|	Micrococcus mucilaginosus	|		|	synonym	|
+43675	|	NBRC 15673	|		|	type material	|
+43675	|	NCTC 10663	|		|	type material	|
+43675	|	Rothia mucilaginosa	|		|	scientific name	|
+43675	|	Rothia mucilaginosa (Bergan and Kocur 1982) Collins et al. 2000	|		|	authority	|
+43675	|	Stomatococcus mucilaginosus	|		|	synonym	|
+43675	|	Stomatococcus mucilaginosus (ex Migula 1900) Bergan and Kocur 1982	|		|	authority	|
+43765	|	'Corynebacterium asperum'	|		|	synonym	|
+43765	|	ATCC 49368	|		|	type material	|
+43765	|	CCUG 35685	|		|	type material	|
+43765	|	CDC coryneform group F-2	|		|	includes	|
+43765	|	CDC coryneform group I-2	|		|	includes	|
+43765	|	CIP 103452	|		|	type material	|
+43765	|	Corynebacterium amycolatum	|		|	scientific name	|
+43765	|	Corynebacterium amycolatum Collins et al. 1988	|		|	synonym	|
+43765	|	Corynebacterium asperum	|		|	synonym	|
+43765	|	DSM 6922	|		|	type material	|
+43765	|	IFO 15207	|		|	type material	|
+43765	|	JCM 7447	|		|	type material	|
+43765	|	NBRC 15207	|		|	type material	|
+43765	|	NCFB 2768	|		|	type material	|
+43765	|	NCIMB 13130	|		|	type material	|
+43765	|	strain S160	|		|	type material	|
+43768	|	"Actinomyces matruchoti" (Mendel 1919) Nannizzi 1934	|		|	synonym	|
+43768	|	"Cladothrix matruchoti" (sic) Mendel 1919	|		|	synonym	|
+43768	|	"Oospora matruchoti" (Mendel 1919) Sartory 1930	|		|	synonym	|
+43768	|	ATCC 14266	|		|	type material	|
+43768	|	Actinomyces matruchoti	|		|	synonym	|
+43768	|	Bacterionema matruchotii	|		|	synonym	|
+43768	|	Bacterionema matruchotii (Mendel 1919) Gilmour et al. 1961 (Approved Lists 1980)	|		|	synonym	|
+43768	|	CCUG 27545	|		|	type material	|
+43768	|	CCUG 46620	|		|	type material	|
+43768	|	CIP 81.82	|		|	type material	|
+43768	|	Cladothrix matruchoti	|		|	synonym	|
+43768	|	Corynebacterium matruchotii	|		|	scientific name	|
+43768	|	Corynebacterium matruchotii (Mendel 1919) Collins 1983	|		|	synonym	|
+43768	|	DSM 20635	|		|	type material	|
+43768	|	IFO 15360	|		|	type material	|
+43768	|	JCM 9386	|		|	type material	|
+43768	|	NBRC 15360	|		|	type material	|
+43768	|	NCTC 10254	|		|	type material	|
+43768	|	Oospora matruchoti	|		|	synonym	|
+43770	|	"Bacterium striatum" Chester 1901	|		|	synonym	|
+43770	|	ATCC 6940	|		|	type material	|
+43770	|	Bacterium striatum	|		|	synonym	|
+43770	|	CCUG 27949	|		|	type material	|
+43770	|	CIP 81.15	|		|	type material	|
+43770	|	Corynebacterium striatum	|		|	scientific name	|
+43770	|	Corynebacterium striatum (Chester 1901) Eberson 1918	|		|	synonym	|
+43770	|	DSM 20668	|		|	type material	|
+43770	|	IFO 15291	|		|	type material	|
+43770	|	JCM 9390	|		|	type material	|
+43770	|	NBRC 15291	|		|	type material	|
+43770	|	NCTC 764	|		|	type material	|
+44088	|	Avipoxvirus clade B1	|		|	synonym	|
+44088	|	Canarypox virus	|		|	scientific name	|
+45851	|	ATCC 29175	|		|	type material	|
+45851	|	Butyrivibrio crossotus	|		|	scientific name	|
+45851	|	Butyrivibrio crossotus Moore et al. 1976	|		|	synonym	|
+45851	|	DSM 2876	|		|	type material	|
+45851	|	VPI T9-40A	|		|	type material	|
+46015	|	AcMNPV	|		|	acronym	|
+46015	|	Autographa californica multicapsid nuclear polyhedrosis virus	|		|	synonym	|
+46015	|	Autographa californica multicapsid nuclear polyhedrosis virus AcMNPV	|		|	synonym	|
+46015	|	Autographa californica nuclear polyhedrosis virus	|		|	synonym	|
+46015	|	Autographa californica nuclear polyhedrosis virus AcMNPV	|		|	synonym	|
+46015	|	Autographa californica nuclear polyhedrosis virus AcNPV	|		|	synonym	|
+46015	|	Autographa californica nuclear polyhedrosis virus, AcMNPV	|		|	synonym	|
+46015	|	Autographa californica nucleopolyhedrovirus	|		|	scientific name	|
+46503	|	ATCC 43184	|		|	type material	|
+46503	|	Bacteroides merdae	|		|	synonym	|
+46503	|	Bacteroides merdae Johnson et al. 1986	|		|	authority	|
+46503	|	CCUG 38734	|		|	type material	|
+46503	|	CIP 104202	|		|	type material	|
+46503	|	JCM 9497	|		|	type material	|
+46503	|	NCTC 13052	|		|	type material	|
+46503	|	Parabacteroides merdae	|		|	scientific name	|
+46503	|	Parabacteroides merdae (Johnson et al. 1986) Sakamoto and Benno 2006	|		|	authority	|
+46503	|	VPI T4-1	|		|	type material	|
+47229	|	CCUG 45783	|		|	type material	|
+47229	|	CIP 105350	|		|	type material	|
+47229	|	Janthinobacterium sp. R2-11	|		|	includes	|
+47229	|	Massilia timonae	|		|	scientific name	|
+47229	|	Massilia timonae La Scola et al. 2000 emend. Lindquist et al. 2003	|		|	authority	|
+47229	|	Timone isolate	|		|	synonym	|
+47229	|	strain UR/MT95	|		|	type material	|
+47671	|	ATCC 51599	|		|	type material	|
+47671	|	CCUG 34794	|		|	type material	|
+47671	|	CIP 106317	|		|	type material	|
+47671	|	DSM 11362	|		|	type material	|
+47671	|	Lautropia mirabilis	|		|	scientific name	|
+47671	|	Lautropia mirabilis Gerner-Smidt et al. 1995	|		|	authority	|
+47671	|	NCTC 12852	|		|	type material	|
+47671	|	strain AB2188	|		|	type material	|
+47678	|	ATCC 43185	|		|	type material	|
+47678	|	Bacteroides caccae	|		|	scientific name	|
+47678	|	Bacteroides caccae Johnson et al. 1986	|		|	authority	|
+47678	|	CCUG 38735	|		|	type material	|
+47678	|	CIP 104201	|		|	type material	|
+47678	|	DSM 19024	|		|	type material	|
+47678	|	JCM 9498	|		|	type material	|
+47678	|	NCTC 13051	|		|	type material	|
+47678	|	VPI 3452A	|		|	type material	|
+49338	|	DSM 10664	|		|	type material	|
+49338	|	Desulfitobacterium frappieri	|		|	synonym	|
+49338	|	Desulfitobacterium frappieri Bouchard et al. 1996	|		|	authority	|
+49338	|	Desulfitobacterium hafniense	|		|	scientific name	|
+49338	|	Desulfitobacterium hafniense Christiansen and Ahring 1996 emend. Niggemyer et al. 2001	|		|	authority	|
+49338	|	anaerobic eubacterium PCP-1	|		|	includes	|
+49338	|	strain DCB-2	|		|	type material	|
+52226	|	ATCC 27723	|		|	type material	|
+52226	|	Bacteroides multiacidus Mitsuoka et al. 1974 (Approved Lists 1980)	|		|	synonym	|
+52226	|	CCUG 21055	|		|	type material	|
+52226	|	CIP 107116	|		|	type material	|
+52226	|	DSM 20544	|		|	type material	|
+52226	|	JCM 2054	|		|	type material	|
+52226	|	Mitsuokella multacida	|		|	scientific name	|
+52226	|	Mitsuokella multacida corrig. (Mitsuoka et al. 1974) Shah and Collins 1983	|		|	synonym	|
+52226	|	Mitsuokella multiacidus	|		|	synonym	|
+52226	|	NCTC 10934	|		|	type material	|
+53443	|	Blautia hydrogenotrophica	|		|	scientific name	|
+53443	|	Blautia hydrogenotrophica (Bernalier et al. 1997) Liu et al. 2008	|		|	authority	|
+53443	|	DSM 10507	|		|	type material	|
+53443	|	JCM 14656	|		|	type material	|
+53443	|	Ruminococcus hydrogenotrophicus	|		|	synonym	|
+53443	|	Ruminococcus hydrogenotrophicus Bernalier et al. 1997	|		|	authority	|
+53443	|	strain S5a33	|		|	type material	|
+55565	|	Actinomyces graevenitzii	|		|	scientific name	|
+55565	|	Actinomyces graevenitzii Pascual Ramos et al. 1997	|		|	authority	|
+55565	|	CCUG 27294	|		|	type material	|
+55565	|	CIP 105737	|		|	type material	|
+55565	|	DSM 15540	|		|	type material	|
+56774	|	Eubacterium infirmum	|		|	equivalent name	|
+56774	|	Eubacterium infirmum Cheeseman et al. 1996	|		|	authority	|
+56774	|	Eubacterium sp. (strain W 1417)	|		|	includes	|
+56774	|	NCTC 12940	|		|	type material	|
+56774	|	[Eubacterium] infirmum	|		|	scientific name	|
+56946	|	ATCC 49717	|		|	type material	|
+56946	|	Afipia broomae	|		|	misspelling	|
+56946	|	Afipia broomeae	|		|	scientific name	|
+56946	|	Afipia broomeae Brenner et al. 1992	|		|	authority	|
+56946	|	CCUG 30458	|		|	type material	|
+56946	|	CIP 103517	|		|	type material	|
+56946	|	DSM 7327	|		|	type material	|
+56946	|	NCTC 12720	|		|	type material	|
+56946	|	strain B-91-007286	|		|	type material	|
+60133	|	AHN 10371	|		|	type material	|
+60133	|	ATCC 700821	|		|	type material	|
+60133	|	CCUG 39484	|		|	type material	|
+60133	|	CIP 105551	|		|	type material	|
+60133	|	DSM 18710	|		|	type material	|
+60133	|	JCM 11140	|		|	type material	|
+60133	|	NCTC 13042	|		|	type material	|
+60133	|	Prevotella intermedia / Prevotella nigrescens-like organism (PINLO)	|		|	synonym	|
+60133	|	Prevotella pallens	|		|	scientific name	|
+60133	|	Prevotella pallens Kononen et al. 1998	|		|	authority	|
+61171	|	ATCC 51649	|		|	type material	|
+61171	|	DSM 12042	|		|	type material	|
+61171	|	Eubacterium-like group S14	|		|	synonym	|
+61171	|	Holdemania filiformis	|		|	scientific name	|
+61171	|	Holdemania filiformis Willems et al. 1997	|		|	synonym	|
+61171	|	strain J1-31B-1	|		|	type material	|
+68892	|	ATCC 700779	|		|	type material	|
+68892	|	CCUG 39817	|		|	type material	|
+68892	|	CIP 105949	|		|	type material	|
+68892	|	DSM 12492	|		|	type material	|
+68892	|	GTC 849	|		|	type material	|
+68892	|	JCM 10157	|		|	type material	|
+68892	|	LMG 18720	|		|	type material	|
+68892	|	Streptococcus infantis	|		|	scientific name	|
+68892	|	Streptococcus infantis Kawamura et al. 1998	|		|	authority	|
+68892	|	strain O-122	|		|	type material	|
+69218	|	ATCC 33241	|		|	type material	|
+69218	|	CCUG 25231	|		|	type material	|
+69218	|	CDC Enteric Group 19	|		|	synonym	|
+69218	|	CFBP 4167	|		|	type material	|
+69218	|	CIP 103787	|		|	type material	|
+69218	|	DSM 17580	|		|	type material	|
+69218	|	Enterobacter cancerogenus	|		|	scientific name	|
+69218	|	Enterobacter cancerogenus (Urosevic 1966) Dickey and Zumoff 1988	|		|	authority	|
+69218	|	Enterobacter taylorae	|		|	synonym	|
+69218	|	Enterobacter taylorae Farmer et al. 1985	|		|	authority	|
+69218	|	Erwinia cancerogena	|		|	synonym	|
+69218	|	Erwinia cancerogena Urosevic 1966 (Approved Lists 1980)	|		|	authority	|
+69218	|	ICMP 5706	|		|	type material	|
+69218	|	LMG 2693	|		|	type material	|
+69218	|	NCPPB 2176	|		|	type material	|
+69823	|	"Spirillum sputigenum" Flugge 1886	|		|	authority	|
+69823	|	"Vibrio sputigenus" Prevot 1940	|		|	authority	|
+69823	|	ATCC 35185	|	ATCC 35185 <neotype strain>	|	type material	|
+69823	|	CCUG 44933	|	CCUG 44933 <neotype strain>	|	type material	|
+69823	|	DSM 20758	|	DSM 20758 <neotype strain>	|	type material	|
+69823	|	Selenomonas sputigena	|		|	scientific name	|
+69823	|	Selenomonas sputigena (Flugge 1886) Boskamp 1922 (Approved Lists 1980) emend. Judicial Commission 1992	|		|	authority	|
+69823	|	Spirillum sputigenum	|		|	synonym	|
+69823	|	VPI D 19B-28	|	VPI D 19B-28 <neotype strain>	|	type material	|
+69823	|	Vibrio sputigenus	|		|	synonym	|
+72556	|	ATCC 43552	|		|	type material	|
+72556	|	Achromobacter piechaudii	|		|	scientific name	|
+72556	|	Achromobacter piechaudii (Kiredjian et al. 1986) Yabuuchi et al. 1998	|		|	authority	|
+72556	|	Alcaligenes piechaudii	|		|	synonym	|
+72556	|	Alcaligenes piechaudii Kiredjian et al. 1986	|		|	authority	|
+72556	|	CCUG 724	|		|	type material	|
+72556	|	CIP 60.75	|		|	type material	|
+72556	|	DSM 10342	|		|	type material	|
+72556	|	IAM 12591	|		|	type material	|
+72556	|	JCM 20668	|		|	type material	|
+72556	|	LMG 1873	|		|	type material	|
+72556	|	NBRC 102461	|		|	type material	|
+72556	|	NCTC 11970	|		|	type material	|
+72556	|	strain Hugh 366-5	|		|	type material	|
+74426	|	"Bacteroides aerofaciens" Eggerth 1935	|		|	synonym	|
+74426	|	"Pseudobacterium aerofaciens" (Eggerth 1935) Krasil'nikov 1949	|		|	synonym	|
+74426	|	ATCC 25986	|		|	type material	|
+74426	|	Bacteroides aerofaciens	|		|	synonym	|
+74426	|	CCUG 28087	|		|	type material	|
+74426	|	Collinsella aerofaciens	|		|	scientific name	|
+74426	|	Collinsella aerofaciens (Eggerth 1935) Kageyama et al. 1999	|		|	synonym	|
+74426	|	DSM 3979	|		|	type material	|
+74426	|	Eubacterium aerofaciens	|		|	synonym	|
+74426	|	Eubacterium aerofaciens (Eggerth 1935) Prevot 1938 (Approved Lists 1980)	|		|	synonym	|
+74426	|	JCM 10188	|		|	type material	|
+74426	|	NCTC 11838	|		|	type material	|
+74426	|	Pseudobacterium aerofaciens	|		|	synonym	|
+74426	|	VPI 1003	|		|	type material	|
+76831	|	Myroides	|		|	scientific name	|
+76831	|	Myroides Vancanneyt et al. 1996 emend. Yan et al. 2012	|		|	authority	|
+76832	|	CCUG 39352	|		|	type material	|
+76832	|	CIP 105170	|		|	type material	|
+76832	|	JCM 7460	|		|	type material	|
+76832	|	LMG 4029	|		|	type material	|
+76832	|	Myroides odoratimimus	|		|	scientific name	|
+76832	|	Myroides odoratimimus Vancanneyt et al. 1996	|		|	authority	|
+76832	|	NCTC 11180	|		|	type material	|
+78342	|	AS 1.2274	|		|	type material	|
+78342	|	ATCC 49850	|		|	type material	|
+78342	|	Bifidobacterium gallicum	|		|	scientific name	|
+78342	|	Bifidobacterium gallicum Lauer 1990	|		|	synonym	|
+78342	|	CCUG 34979	|		|	type material	|
+78342	|	CIP 103417	|		|	type material	|
+78342	|	DSM 20093	|		|	type material	|
+78342	|	JCM 8224	|		|	type material	|
+78342	|	LMG 11596	|		|	type material	|
+80366	|	NOT Rachiplusia nu MNPV	|		|	equivalent name	|
+80366	|	Rachiplusia ou MNPV	|		|	scientific name	|
+80366	|	Rachiplusia ou multiple nucleopolyhedrovirus	|		|	synonym	|
+80366	|	Rachiplusia ou nuclear polyhedrosis virus	|		|	synonym	|
+82135	|	ATCC BAA-55	|		|	type material	|
+82135	|	Atopobium vaginae	|		|	scientific name	|
+82135	|	Atopobium vaginae Rodriguez Jovita et al. 1999	|		|	authority	|
+82135	|	CCUG 38953	|		|	type material	|
+82135	|	CIP 106431	|		|	type material	|
+82135	|	DSM 15829	|		|	type material	|
+84026	|	ATCC 43829	|		|	type material	|
+84026	|	Clostridium methylpentosum	|		|	scientific name	|
+84026	|	Clostridium methylpentosum Himelbloom and Canale-Parola 1989	|		|	authority	|
+84026	|	DSM 5476	|		|	type material	|
+84026	|	[Clostridium] methylpentosum	|		|	equivalent name	|
+84026	|	strain R2	|	strain R2 <Clostridium methylpentosum>	|	type material	|
+85698	|	"Achromobacter xylosoxidans" Yabuuchi and Ohyama 1971	|		|	authority	|
+85698	|	ATCC 27061	|		|	type material	|
+85698	|	Achromobacter xylosoxidans	|		|	scientific name	|
+85698	|	Achromobacter xylosoxidans (ex Yabuuchi and Ohyama 1971) Yabuuchi and Yano 1981	|		|	authority	|
+85698	|	Achromobacter xylosoxidans KF701	|		|	includes	|
+85698	|	Achromobacter xylosoxidans subsp. xylosoxidans	|		|	includes	|
+85698	|	Achromobacter xylosoxidans subsp. xylosoxidans (ex Yabuuchi & Ohyama 1971) Yabuuchi & Yano 1981	|		|	authority	|
+85698	|	Achromobacter xylosoxydans	|		|	equivalent name	|
+85698	|	Alcaligenes denitrificans subsp. xylosoxydans	|		|	includes	|
+85698	|	Alcaligenes denitrificans subsp. xylosoxydans (Yabuuchi and Yano 1981) Kersters and De Ley 1984	|		|	authority	|
+85698	|	Alcaligenes denitrificans xylosoxydans	|		|	includes	|
+85698	|	Alcaligenes xylosoxidans	|		|	synonym	|
+85698	|	Alcaligenes xylosoxidans (Yabuuchi and Yano 1981) Kiredjian et al. 1986	|		|	authority	|
+85698	|	Alcaligenes xylosoxidans subsp. xylosoxidans	|		|	includes	|
+85698	|	Alcaligenes xylosoxidans subsp. xylosoxidans (Yabuuchi and Yano 1981) Kiredjian et al. 1986	|		|	authority	|
+85698	|	Alcaligenes xylosoxydans	|		|	equivalent name	|
+85698	|	Alcaligenes xylosoxydans xylosoxydans	|		|	includes	|
+85698	|	CCUG 12689	|		|	type material	|
+85698	|	CIP 71.32	|		|	type material	|
+85698	|	DSM 10346	|		|	type material	|
+85698	|	DSM 2402	|		|	type material	|
+85698	|	Flavobacterium sp. 650	|		|	includes	|
+85698	|	IFO 15126	|		|	type material	|
+85698	|	JCM 9659	|		|	type material	|
+85698	|	LMG 1863	|		|	type material	|
+85698	|	NBRC 15126	|		|	type material	|
+85698	|	NCTC 10807	|		|	type material	|
+85698	|	NRRL B-4082	|		|	type material	|
+85698	|	strain Hugh 2838	|		|	type material	|
+85698	|	strain KM 543	|		|	type material	|
+85698	|	strain Yabuuchi KM 543	|		|	type material	|
+89153	|	CIP 106689	|		|	type material	|
+89153	|	Clostridium hylemonae	|		|	scientific name	|
+89153	|	Clostridium hylemonae Kitahara et al. 2000	|		|	authority	|
+89153	|	DSM 15053	|		|	type material	|
+89153	|	JCM 10539	|		|	type material	|
+89153	|	[Clostridium] hylemonae	|		|	equivalent name	|
+89153	|	strain TN-271	|		|	type material	|
+91753	|	CABYV	|		|	acronym	|
+91753	|	Cucurbit aphid borne yellowing virus	|		|	misnomer	|
+91753	|	Cucurbit aphid-borne yellows virus	|		|	scientific name	|
+101850	|	Thysanoplusia orichalcea MNPV	|		|	synonym	|
+101850	|	Thysanoplusia orichalcea NPV	|		|	synonym	|
+101850	|	Thysanoplusia orichalcea multicapsid nucleopolyhedrovirus	|		|	synonym	|
+101850	|	Thysanoplusia orichalcea multiple nucleopolyhedrovirus	|		|	synonym	|
+101850	|	Thysanoplusia orichalcea nucleopolyhedrovirus	|		|	scientific name	|
+102148	|	Bulleidia moorei	|		|	misspelling	|
+102148	|	CIP 106864	|		|	type material	|
+102148	|	JCM 10645	|		|	type material	|
+102148	|	Solobacterium moorei	|		|	scientific name	|
+102148	|	Solobacterium moorei Kageyama and Benno 2000	|		|	authority	|
+102148	|	strain RCA59-74	|		|	type material	|
+102148	|	unclassified Clostridium group RCA59	|		|	synonym	|
+102862	|	ATCC 33519	|		|	type material	|
+102862	|	CCUG 15722	|		|	type material	|
+102862	|	CDC 1808-73	|		|	type material	|
+102862	|	CIP 103030	|		|	type material	|
+102862	|	DSM 4544	|		|	type material	|
+102862	|	JCM 3948	|		|	type material	|
+102862	|	NCTC 12737	|		|	type material	|
+102862	|	Proteus genomosp. 1	|		|	synonym	|
+102862	|	Proteus genomospecies 1	|		|	synonym	|
+102862	|	Proteus penneri	|		|	scientific name	|
+102862	|	Proteus penneri Hickman et al. 1983	|		|	synonym	|
+102862	|	Proteus vulgaris biogroup 1	|		|	synonym	|
+102862	|	Proteus vulgaris indole negative	|		|	synonym	|
+103618	|	Actinomyces coleocanis	|		|	scientific name	|
+103618	|	Actinomyces coleocanis Hoyles et al. 2002	|		|	authority	|
+103618	|	Actinomyces sp. CCUG 41708	|		|	includes	|
+103618	|	CCUG 41708	|		|	type material	|
+103618	|	CIP 106873	|		|	type material	|
+103618	|	DSM 15436	|		|	type material	|
+103618	|	strain M343/98/2	|		|	type material	|
+103621	|	Actinomyces sp. CCUG 28744	|		|	includes	|
+103621	|	Actinomyces sp. CCUG 42029	|		|	equivalent name	|
+103621	|	Actinomyces urogenitalis	|		|	scientific name	|
+103621	|	Actinomyces urogenitalis Nikolaitchouk et al. 2000	|		|	synonym	|
+103621	|	CCUG 38702	|		|	type material	|
+103621	|	CIP 106421	|		|	type material	|
+103621	|	DSM 15434	|		|	type material	|
+106588	|	"Bacillus capillosus" Tissier 1908	|		|	authority	|
+106588	|	"Pseudobacterium capillosum" (Tissier 1908) Krasil'nikov 1949	|		|	authority	|
+106588	|	"Ristella capillosa" (Tissier 1908) Prevot 1938	|		|	authority	|
+106588	|	ATCC 29799	|		|	type material	|
+106588	|	Bacillus capillosus	|		|	synonym	|
+106588	|	Bacteroides capillosus	|		|	synonym	|
+106588	|	Bacteroides capillosus (Tissier 1908) Kelly 1957	|		|	authority	|
+106588	|	CCUG 15402 A	|		|	type material	|
+106588	|	DSM 23940	|		|	type material	|
+106588	|	Pseudobacterium capillosum	|		|	synonym	|
+106588	|	Pseudoflavonifractor capillosus	|		|	scientific name	|
+106588	|	Pseudoflavonifractor capillosus (Tissier 1908) Carlier et al. 2010	|		|	authority	|
+106588	|	Ristella capillosa	|		|	synonym	|
+106588	|	VPI R2-29-1	|		|	type material	|
+112023	|	Streptococcus phage 7201	|		|	scientific name	|
+112023	|	Streptococcus thermophilus bacteriophage 7201	|		|	synonym	|
+113287	|	"Ramibacterium alactolyticum" Prevot and Taffanel 1942	|		|	authority	|
+113287	|	"Ramibacterium dentium" Vinzent and Reynes 1947	|		|	authority	|
+113287	|	"Ramibacterium pleuriticum" Prevot et al. 1947	|		|	authority	|
+113287	|	ATCC 23263	|		|	type material	|
+113287	|	CIP 106365	|		|	type material	|
+113287	|	DSM 3980	|		|	type material	|
+113287	|	Eubacterium alactolyticum	|		|	synonym	|
+113287	|	Eubacterium alactolyticum (Prevot and Taffanel 1942) Holdeman and Moore 1970 (Approved Lists 1980)	|		|	authority	|
+113287	|	JCM 6480	|		|	type material	|
+113287	|	Pseudoramibacter alactolyticus	|		|	scientific name	|
+113287	|	Pseudoramibacter alactolyticus (Prevot and Taffanel 1942) Willems and Collins 1996	|		|	authority	|
+113287	|	Ramibacterium alactolyticum	|		|	synonym	|
+113287	|	Ramibacterium dentium	|		|	synonym	|
+113287	|	Ramibacterium pleuriticum	|		|	synonym	|
+118748	|	ATCC BAA-170	|		|	type material	|
+118748	|	Bulleidia extructa	|		|	scientific name	|
+118748	|	Bulleidia extructa Downes et al. 2000	|		|	synonym	|
+118748	|	DSM 13220	|		|	type material	|
+118748	|	strain W 1219	|		|	type material	|
+133448	|	ATCC 29935	|		|	type material	|
+133448	|	CCUG 30791	|		|	type material	|
+133448	|	CDC 460-61	|		|	type material	|
+133448	|	CIP 105016	|		|	type material	|
+133448	|	Citrobacter genomospecies 5	|		|	synonym	|
+133448	|	Citrobacter youngae	|		|	scientific name	|
+133448	|	Citrobacter youngae Brenner et al. 1993	|		|	authority	|
+133448	|	DSM 17578	|		|	type material	|
+133448	|	GTC 1314	|		|	type material	|
+135083	|	ATCC 43541	|		|	type material	|
+135083	|	DSM 19578	|		|	type material	|
+135083	|	JCM 8546	|		|	type material	|
+135083	|	Selenomonas noxia	|		|	scientific name	|
+135083	|	Selenomonas noxia Moore et al. 1987	|		|	authority	|
+135083	|	VPI D9B-5	|		|	type material	|
+136187	|	Equine coronavirus	|		|	scientific name	|
+137732	|	ATCC 700633	|		|	type material	|
+137732	|	Abiotrophia elegans	|		|	synonym	|
+137732	|	Abiotrophia elegans Roggenkamp et al. 1999	|		|	authority	|
+137732	|	Abiotrophia sp. B1333	|		|	includes	|
+137732	|	CCUG 38949	|		|	type material	|
+137732	|	CIP 105513	|		|	type material	|
+137732	|	DSM 11693	|		|	type material	|
+137732	|	Granulicatella elegans	|		|	scientific name	|
+137732	|	Granulicatella elegans (Roggenkamp et al. 1999) Collins and Lawson 2000	|		|	authority	|
+137732	|	strain B1333	|		|	type material	|
+138119	|	Desulfitobacterium hafniense Y51	|		|	scientific name	|
+138119	|	Desulfitobacterium hafniense str. Y51	|		|	equivalent name	|
+138119	|	Desulfitobacterium hafniense strain Y51	|		|	equivalent name	|
+138119	|	Desulfitobacterium sp. Y51	|		|	equivalent name	|
+147207	|	CCUG 45296	|		|	type material	|
+147207	|	CIP 106914	|		|	type material	|
+147207	|	Collinsella group 2	|		|	synonym	|
+147207	|	Collinsella intestinalis	|		|	scientific name	|
+147207	|	Collinsella intestinalis Kageyama and Benno 2000	|		|	synonym	|
+147207	|	Collinsella sp. RCA56-68	|		|	includes	|
+147207	|	Collinsella sp. RCA56-80	|		|	includes	|
+147207	|	DSM 13280	|		|	type material	|
+147207	|	JCM 10643	|		|	type material	|
+147207	|	strain RCA56-68	|		|	type material	|
+154046	|	CCUG 43506	|		|	type material	|
+154046	|	Clostridium hathewayi	|		|	scientific name	|
+154046	|	Clostridium hathewayi Steer et al. 2002	|		|	authority	|
+154046	|	Clostridium sp. DSM 13479	|		|	includes	|
+154046	|	DSM 13479	|		|	type material	|
+154046	|	[Clostridium] hathewayi	|		|	equivalent name	|
+154046	|	strain 1313	|		|	type material	|
+158877	|	ATCC 49455	|		|	type material	|
+158877	|	BCRC 12225	|		|	type material	|
+158877	|	CCRC 12225	|		|	type material	|
+158877	|	CIP 105435	|		|	type material	|
+158877	|	Enteric Group 45	|		|	synonym	|
+158877	|	JCM 2403	|		|	type material	|
+158877	|	Koserella trabulsii	|		|	synonym	|
+158877	|	Koserella trabulsii Hickman-Brenner et al. 1985	|		|	authority	|
+158877	|	NBRC 102600	|		|	type material	|
+158877	|	NCTC 11966	|		|	type material	|
+158877	|	NIH 725-83	|		|	type material	|
+158877	|	Yokenella regensburgei	|		|	scientific name	|
+158877	|	Yokenella regensburgei Kosako et al. 1985	|		|	authority	|
+161889	|	ATCC 700352	|		|	type material	|
+161889	|	CCUG 37336	|		|	type material	|
+161889	|	CIP 105127	|		|	type material	|
+161889	|	Corynebacterium lipophiloflavum	|		|	scientific name	|
+161889	|	Corynebacterium lipophiloflavum Funke et al. 1997	|		|	synonym	|
+161889	|	Corynebacterium sp. 1944	|		|	includes	|
+161889	|	DMMZ 1944	|		|	type material	|
+161889	|	DSM 44291	|		|	type material	|
+161889	|	JCM 10383	|		|	type material	|
+163665	|	CCUG 43457	|		|	type material	|
+163665	|	CDC F9489	|		|	type material	|
+163665	|	CIP 107079	|		|	type material	|
+163665	|	Dysgonomonas mossii	|		|	scientific name	|
+163665	|	Dysgonomonas mossii Lawson et al. 2002	|		|	authority	|
+163665	|	Dysgonomonas shahii	|		|	misspelling	|
+163665	|	JCM 16699	|		|	type material	|
+168384	|	Bryantella formatexigens	|		|	synonym	|
+168384	|	Bryantella formatexigens Wolin et al. 2004	|		|	authority	|
+168384	|	CCUG 46960	|		|	type material	|
+168384	|	DSM 14469	|		|	type material	|
+168384	|	Marvinbryantia formatexigens	|		|	scientific name	|
+168384	|	Marvinbryantia formatexigens (Wolin et al. 2004) Wolin et al. 2008	|		|	authority	|
+168384	|	strain I-52	|		|	type material	|
+169435	|	Anaerotruncus colihominis	|		|	scientific name	|
+169435	|	Anaerotruncus colihominis Lawson et al. 2004	|		|	synonym	|
+169435	|	CCUG 45055	|		|	type material	|
+169435	|	CIP 107754	|		|	type material	|
+169435	|	DSM 17241	|		|	type material	|
+169435	|	JCM 15631	|		|	type material	|
+169435	|	Ruminococcus sp. 14565	|		|	includes	|
+169435	|	WAL 14565	|		|	type material	|
+171549	|	"Bacteroidales" Krieg 2011	|		|	authority	|
+171549	|	Bacteroidales	|		|	scientific name	|
+177972	|	CCUG 45864	|		|	type material	|
+177972	|	DSM 14600	|		|	type material	|
+177972	|	Shuttleworthia satelles	|		|	scientific name	|
+177972	|	Shuttleworthia satelles Downes et al. 2002	|		|	authority	|
+177972	|	VPI D143K-13	|		|	type material	|
+181082	|	EhV-86	|		|	acronym	|
+181082	|	Emiliana huxleyi virus 86	|		|	misspelling	|
+181082	|	Emiliania huxleyi virus 86	|		|	scientific name	|
+186802	|	Clostridiales	|		|	scientific name	|
+186802	|	Clostridiales Prevot 1953	|		|	authority	|
+186803	|	Lachnospiraceae	|		|	scientific name	|
+186803	|	Lachnospiraceae Rainey 2010	|		|	authority	|
+189723	|	CCUG 56105	|		|	type material	|
+189723	|	DSM 21469	|		|	type material	|
+189723	|	JCM 16134	|		|	type material	|
+189723	|	Prevotella genomosp. E3	|		|	synonym	|
+189723	|	Prevotella genomospecies E3	|		|	synonym	|
+189723	|	Prevotella micans	|		|	scientific name	|
+189723	|	Prevotella micans Downes et al. 2009	|		|	authority	|
+189723	|	Prevotella sp. E7.56	|		|	includes	|
+189723	|	Prevotella sp. E7_56	|		|	misspelling	|
+189723	|	strain E7.56	|		|	type material	|
+195099	|	Campylobacter jejuni RM1221	|		|	scientific name	|
+195099	|	Campylobacter jejuni str. RM1221	|		|	equivalent name	|
+195099	|	Campylobacter jejuni strain RM1221	|		|	equivalent name	|
+199310	|	Escherichia coli CFT073	|		|	scientific name	|
+199310	|	Escherichia coli str. CFT073	|		|	equivalent name	|
+199310	|	Escherichia coli strain CFT073	|		|	equivalent name	|
+204525	|	ATCC 49957	|		|	type material	|
+204525	|	CIP 104027	|		|	type material	|
+204525	|	Roseomonas cervicalis	|		|	scientific name	|
+204525	|	Roseomonas cervicalis Rihs et al. 1998	|		|	synonym	|
+204525	|	strain E7107	|		|	type material	|
+207244	|	Anaerostipes	|		|	scientific name	|
+207244	|	Anaerostipes Schwiertz et al. 2002 emend. Eeckhaut et al. 2010	|		|	authority	|
+211110	|	Streptococcus agalactiae NEM316	|		|	scientific name	|
+211110	|	Streptococcus agalactiae str. NEM316	|		|	synonym	|
+214853	|	ATCC BAA-858	|		|	type material	|
+214853	|	Anaerofustis stercorihominis	|		|	scientific name	|
+214853	|	Anaerofustis stercorihominis Finegold et al 2004	|		|	synonym	|
+214853	|	CCUG 47767	|		|	type material	|
+214853	|	DSM 17244	|		|	type material	|
+214853	|	Pseudoramibacter sp. wal 14563	|		|	includes	|
+214853	|	WAL 14563	|		|	type material	|
+218538	|	CCUG 47026	|		|	type material	|
+218538	|	DSM 15470	|		|	type material	|
+218538	|	Dialister invisus	|		|	scientific name	|
+218538	|	Dialister invisus Downes et al. 2003	|		|	authority	|
+218538	|	JCM 17566	|		|	type material	|
+218538	|	strain E7.25	|		|	type material	|
+219314	|	Aeromicrobium marinum	|		|	scientific name	|
+219314	|	Aeromicrobium marinum Bruns et al. 2003	|		|	authority	|
+219314	|	DSM 15272	|		|	type material	|
+219314	|	JCM 13314	|		|	type material	|
+219314	|	LMG 21768	|		|	type material	|
+225324	|	ATCC 27094	|		|	type material	|
+225324	|	Enhydrobacter aerosaccus	|		|	scientific name	|
+225324	|	Enhydrobacter aerosaccus Staley et al. 1987	|		|	synonym	|
+225324	|	LMG 21877	|		|	type material	|
+228604	|	DSM 15606	|		|	type material	|
+228604	|	JCM 12084	|		|	type material	|
+228604	|	Prevotella salivae	|		|	scientific name	|
+228604	|	Prevotella salivae Sakamoto et al. 2004	|		|	authority	|
+228604	|	strain EPSA11	|		|	type material	|
+243275	|	Treponema denticola ATCC 35405	|		|	scientific name	|
+243275	|	Treponema denticola str. ATCC 35405	|		|	equivalent name	|
+245018	|	Clostridiales bacterium SSC/2	|		|	synonym	|
+245018	|	Clostridiales sp. SSC/2	|		|	misspelling	|
+245018	|	butyrate-producing bacterium SSC/2	|		|	scientific name	|
+262177	|	OpMNPV	|		|	acronym	|
+262177	|	Orgya pseudotsugata MNPV	|		|	misspelling	|
+262177	|	Orgya pseudotsugata nucleopolyhedrovirus	|		|	synonym	|
+262177	|	Orgyia pseudotsugata MNPV	|		|	synonym	|
+262177	|	Orgyia pseudotsugata multicapsid nuclear polyhedrosis virus	|		|	synonym	|
+262177	|	Orgyia pseudotsugata multicapsid nuclear polyhedrosis virus OpMNPV	|		|	synonym	|
+262177	|	Orgyia pseudotsugata multicapsid nucleopolyhedrovirus	|		|	synonym	|
+262177	|	Orgyia pseudotsugata multicapsid polyhedrosis virus	|		|	synonym	|
+262177	|	Orgyia pseudotsugata multinucleocapsid nuclear polyhedrosis virus	|		|	synonym	|
+262177	|	Orgyia pseudotsugata multiple nucleopolyhedrovirus	|		|	scientific name	|
+282402	|	DSM 16608	|		|	type material	|
+282402	|	JCM 12541	|		|	type material	|
+282402	|	Prevotella multiformis	|		|	scientific name	|
+282402	|	Prevotella multiformis Sakamoto et al. 2005	|		|	authority	|
+282402	|	strain PPPA21	|		|	type material	|
+290028	|	CoV-HKU1	|		|	synonym	|
+290028	|	HCoV-HKU1	|		|	genbank acronym	|
+290028	|	Human CoV/HKU1	|		|	synonym	|
+290028	|	Human coronavirus HKU1	|		|	scientific name	|
+291644	|	ATCC BAA-997	|		|	type material	|
+291644	|	Bacteroides salyersae	|		|	synonym	|
+291644	|	Bacteroides salyersiae	|		|	scientific name	|
+291644	|	Bacteroides salyersiae corrig. Song et al. 2005	|		|	authority	|
+291644	|	Bacteroides sp. WAL 10018	|		|	includes	|
+291644	|	CCUG 48945	|		|	type material	|
+291644	|	DSM 18765	|		|	type material	|
+291644	|	JCM 12988	|		|	type material	|
+291644	|	WAL 10018	|		|	type material	|
+291645	|	ATCC BAA-998	|		|	type material	|
+291645	|	Bacteroides nordii	|		|	scientific name	|
+291645	|	Bacteroides nordii Song et al. 2005	|		|	authority	|
+291645	|	Bacteroides sp. WAL 11050	|		|	includes	|
+291645	|	CCUG 48943	|		|	type material	|
+291645	|	JCM 12987	|		|	type material	|
+291645	|	WAL 11050	|		|	type material	|
+292800	|	"Bacille de Plaut, Kritchevsky and Seguin 1921"	|		|	authority	|
+292800	|	"Bacillus plauti" (sic) Seguin 1928	|		|	authority	|
+292800	|	"Fusocillus plauti" (sic) (Seguin 1928) Prevot 1938	|		|	authority	|
+292800	|	"Zuberella plauti" (sic) (Seguin 1928) Sebald 1962	|		|	authority	|
+292800	|	ATCC 29863	|		|	type material	|
+292800	|	ATCC 49531 [[Clostridium orbiscindens]]	|		|	type material	|
+292800	|	Bacillus plauti	|		|	synonym	|
+292800	|	CCUG 28093	|		|	type material	|
+292800	|	Clostridium orbiscindens	|		|	synonym	|
+292800	|	Clostridium orbiscindens Winter et al. 1991	|		|	authority	|
+292800	|	DSM 4000	|		|	type material	|
+292800	|	DSM 6740 [[Clostridium orbiscindens]]	|		|	type material	|
+292800	|	DSM 6749 [[Clostridium orbiscindens]]	|		|	type material	|
+292800	|	Eubacterium plautii	|		|	synonym	|
+292800	|	Eubacterium plautii (Seguin 1928) Hofstad and Aasjord 1982	|		|	authority	|
+292800	|	Flavonifractor plautii	|		|	scientific name	|
+292800	|	Flavonifractor plautii (Seguin 1928) Carlier et al. 2010	|		|	authority	|
+292800	|	Fusobacterium plautii	|		|	synonym	|
+292800	|	Fusobacterium plautii corrig. Seguin 1928 (Approved Lists 1980)	|		|	authority	|
+292800	|	Fusocillus plauti	|		|	synonym	|
+292800	|	Zuberella plauti	|		|	synonym	|
+293178	|	Enterobacteria phage JS98	|		|	scientific name	|
+295405	|	Bacteroides fragilis YCH46	|		|	scientific name	|
+295405	|	Bacteroides fragilis str. YCH46	|		|	equivalent name	|
+295405	|	Bacteroides fragilis strain YCH46	|		|	equivalent name	|
+310297	|	Bacteroides plebeius	|		|	scientific name	|
+310297	|	Bacteroides plebeius Kitahara et al. 2005	|		|	authority	|
+310297	|	DSM 17135	|		|	type material	|
+310297	|	JCM 12973	|		|	type material	|
+310297	|	strain M12	|	strain M12 <Bacteroides plebeius>	|	type material	|
+312008	|	Citrus sudden death marafivirus	|		|	synonym	|
+312008	|	Citrus sudden death-associated virus	|		|	scientific name	|
+328812	|	ATCC BAA-1180	|		|	type material	|
+328812	|	Bacteroides goldsteinii	|		|	synonym	|
+328812	|	Bacteroides goldsteinii Song et al. 2006	|		|	authority	|
+328812	|	Bacteroides sp. WAL 12034	|		|	includes	|
+328812	|	CCUG 48944	|		|	type material	|
+328812	|	DSM 19448	|		|	type material	|
+328812	|	JCM 13446	|		|	type material	|
+328812	|	Parabacteroides goldsteinii	|		|	scientific name	|
+328812	|	Parabacteroides goldsteinii (Song et al. 2006) Sakamoto and Benno 2006	|		|	authority	|
+328812	|	WAL 12034	|		|	type material	|
+331278	|	Bacteriophage phiR1-37	|		|	synonym	|
+331278	|	Yersinia phage phiR1-37	|		|	scientific name	|
+331278	|	Yersiniophage phiR1-37	|		|	synonym	|
+334390	|	Lactobacillus fermentum IFO 3956	|		|	scientific name	|
+334390	|	Lactobacillus fermentum IFO3956	|		|	misspelling	|
+334390	|	Lactobacillus fermentum NBRC 3956	|		|	synonym	|
+334390	|	Lactobacillus fermentum str. IFO 3956	|		|	equivalent name	|
+334390	|	Lactobacillus fermentum strain IFO 3956	|		|	equivalent name	|
+338188	|	Bacteroides finegoldii	|		|	scientific name	|
+338188	|	Bacteroides finegoldii Bakir et al. 2006	|		|	authority	|
+338188	|	DSM 17565	|		|	type material	|
+338188	|	JCM 13345	|		|	type material	|
+338188	|	strain 199	|		|	type material	|
+354276	|	Enterobacter cloacae complex	|		|	scientific name	|
+357276	|	Bacteroides dorei	|		|	scientific name	|
+357276	|	Bacteroides dorei Bakir et al. 2006	|		|	authority	|
+357276	|	Bacteroides sp. 175T	|		|	includes	|
+357276	|	Bacteroides sp. 219	|		|	includes	|
+357276	|	DSM 17855	|		|	type material	|
+357276	|	JCM 13471	|		|	type material	|
+357276	|	strain 175	|		|	type material	|
+362663	|	Escherichia coli 536	|		|	scientific name	|
+362663	|	Escherichia coli str. 536	|		|	equivalent name	|
+362663	|	Escherichia coli strain 536	|		|	equivalent name	|
+363265	|	DSM 18206	|		|	type material	|
+363265	|	JCM 13469	|		|	type material	|
+363265	|	Prevotella sp. CB35	|		|	includes	|
+363265	|	Prevotella stercorea	|		|	scientific name	|
+363265	|	Prevotella stercorea Hayashi et al. 2007	|		|	authority	|
+363265	|	strain CB35	|		|	type material	|
+365048	|	Bacteriophage GBSV1	|		|	synonym	|
+365048	|	Geobacillus phage GBSV1	|		|	scientific name	|
+371601	|	Bacteroides xylanisolvens	|		|	scientific name	|
+371601	|	Bacteroides xylanisolvens Chassard et al. 2008	|		|	authority	|
+371601	|	CCUG 53782	|		|	type material	|
+371601	|	DSM 18836	|		|	type material	|
+371601	|	JCM 15633	|		|	type material	|
+371601	|	strain XB1A	|		|	type material	|
+375288	|	Parabacteroides	|		|	scientific name	|
+375288	|	Parabacteroides Sakamoto and Benno 2006	|		|	authority	|
+379891	|	Plutella xylostella multiple nucleopolyhedrovirus	|		|	scientific name	|
+387661	|	DSM 18315	|		|	type material	|
+387661	|	JCM 13406	|		|	type material	|
+387661	|	Parabacteroides johnsonii	|		|	scientific name	|
+387661	|	Parabacteroides johnsonii Sakamoto et al. 2007	|		|	authority	|
+387661	|	strain M-165	|		|	type material	|
+400667	|	Acinetobacter baumannii ATCC 17978	|		|	scientific name	|
+400667	|	Acinetobacter baumannii str. ATCC 17978	|		|	equivalent name	|
+400667	|	Acinetobacter baumannii strain ATCC 17978	|		|	equivalent name	|
+409438	|	Escherichia coli SE11	|		|	scientific name	|
+409438	|	Escherichia coli str. SE11	|		|	equivalent name	|
+409438	|	Escherichia coli strain SE11	|		|	equivalent name	|
+410072	|	ATCC 27758	|		|	type material	|
+410072	|	Coprococcus comes	|		|	scientific name	|
+410072	|	Coprococcus comes Holdeman and Moore 1974	|		|	authority	|
+410072	|	VPI C1-38	|		|	type material	|
+420247	|	Methanobrevibacter smithii ATCC 35061	|		|	scientific name	|
+420247	|	Methanobrevibacter smithii DSM 861	|		|	synonym	|
+420247	|	Methanobrevibacter smithii PS	|		|	synonym	|
+420247	|	Methanobrevibacter smithii str. ATCC 35061	|		|	equivalent name	|
+420247	|	Methanobrevibacter smithii strain ATCC 35061	|		|	equivalent name	|
+435590	|	Bacteroides vulgatus ATCC 8482	|		|	scientific name	|
+435590	|	Bacteroides vulgatus str. ATCC 8482	|		|	equivalent name	|
+435590	|	Bacteroides vulgatus strain ATCC 8482	|		|	equivalent name	|
+437897	|	DSM 19343	|		|	type material	|
+437897	|	JCM 14723	|		|	type material	|
+437897	|	Megamonas funiformis	|		|	scientific name	|
+437897	|	Megamonas funiformis Sakon et al. 2008	|		|	authority	|
+437897	|	YIT 11815	|		|	type material	|
+437898	|	DSM 19354	|		|	type material	|
+437898	|	JCM 14724	|		|	type material	|
+437898	|	Sutterella parvirubra	|		|	scientific name	|
+437898	|	Sutterella parvirubra Sakon et al. 2008	|		|	authority	|
+437898	|	YIT 11816	|		|	type material	|
+479436	|	Veillonella parvula DSM 2008	|		|	scientific name	|
+479436	|	Veillonella parvula str. DSM 2008	|		|	equivalent name	|
+479436	|	Veillonella parvula strain DSM 2008	|		|	equivalent name	|
+487173	|	DSM 21274	|		|	type material	|
+487173	|	Dialister succinatiphilus	|		|	scientific name	|
+487173	|	Dialister succinatiphilus Morotomi et al. 2008	|		|	authority	|
+487173	|	JCM 15077	|		|	type material	|
+487173	|	YIT 11850	|		|	type material	|
+487174	|	Barnesiella intestinihominis	|		|	scientific name	|
+487174	|	Barnesiella intestinihominis Morotomi et al. 2008	|		|	authority	|
+487174	|	Barnesiella sp. YIT 11860	|		|	includes	|
+487174	|	DSM 21032	|		|	type material	|
+487174	|	JCM 15079	|		|	type material	|
+487174	|	YIT 11860	|		|	type material	|
+487175	|	DSM 21040	|		|	type material	|
+487175	|	JCM 15078	|		|	type material	|
+487175	|	Parasutterella excrementihominis	|		|	scientific name	|
+487175	|	Parasutterella excrementihominis Nagai et al. 2009	|		|	authority	|
+487175	|	strain YIT 11859	|		|	type material	|
+502102	|	Rat coronavirus Parker	|		|	scientific name	|
+502102	|	Rat coronavirus strain Parker	|		|	synonym	|
+502105	|	Bovine respiratory coronavirus bovine/US/OH-440-TC/1996	|		|	scientific name	|
+502108	|	Bovine respiratory coronavirus AH187	|		|	scientific name	|
+525146	|	Desulfovibrio desulfuricans subsp. desulfuricans ATCC 27774	|		|	equivalent name	|
+525146	|	Desulfovibrio desulfuricans subsp. desulfuricans str. ATCC 27774	|		|	scientific name	|
+525146	|	Desulfovibrio desulfuricans subsp. desulfuricans strain ATCC 27774	|		|	equivalent name	|
+548476	|	Corynebacterium aurimucosum ATCC 700975	|		|	scientific name	|
+548476	|	Corynebacterium aurimucosum CCUG 48176	|		|	synonym	|
+548476	|	Corynebacterium aurimucosum CIP 107436	|		|	synonym	|
+548476	|	Corynebacterium aurimucosum CN-1	|		|	synonym	|
+548476	|	Corynebacterium aurimucosum DSM 44827	|		|	synonym	|
+548476	|	Corynebacterium aurimucosum str. ATCC 700975	|		|	equivalent name	|
+548476	|	Corynebacterium aurimucosum strain ATCC 700975	|		|	equivalent name	|
+548476	|	Corynebacterium nigricans CN-1	|		|	synonym	|
+548479	|	Falcivibrio vaginalis ATCC 43063	|		|	synonym	|
+548479	|	Mobiluncus curtisii ATCC 43063	|		|	scientific name	|
+548479	|	Mobiluncus curtisii str. ATCC 43063	|		|	equivalent name	|
+548479	|	Mobiluncus curtisii strain ATCC 43063	|		|	equivalent name	|
+553199	|	Propionibacterium acnes SK137	|		|	scientific name	|
+553199	|	Propionibacterium acnes str. SK137	|		|	equivalent name	|
+553199	|	Propionibacterium acnes strain SK137	|		|	equivalent name	|
+573174	|	Vibrio phage henriette 12B8	|		|	scientific name	|
+573174	|	Vibriophage henriette 12B8	|		|	synonym	|
+576790	|	Enterobacteria phage JS10	|		|	scientific name	|
+607711	|	CIP 109934	|		|	type material	|
+607711	|	DSM 22247	|		|	type material	|
+607711	|	Neisseria sp. WC 05-2507	|		|	includes	|
+607711	|	Neisseria wadsworthii	|		|	scientific name	|
+607711	|	Neisseria wadsworthii Wolfgang et al. 2011	|		|	authority	|
+607711	|	WC 05-9715	|		|	type material	|
+607711	|	strain 9715	|		|	type material	|
+607712	|	CIP 109933	|		|	type material	|
+607712	|	DSM 22246	|		|	type material	|
+607712	|	Neisseria shayeganii	|		|	scientific name	|
+607712	|	Neisseria shayeganii Wolfgang et al. 2011	|		|	authority	|
+607712	|	Neisseria sp. WC 04-12337	|		|	includes	|
+607712	|	WC 08-871	|		|	type material	|
+607712	|	strain 871	|		|	type material	|
+626930	|	Bacteroides fluxus	|		|	scientific name	|
+626930	|	Bacteroides fluxus Watanabe et al. 2010	|		|	authority	|
+626930	|	DSM 22534	|		|	type material	|
+626930	|	JCM 16101	|		|	type material	|
+626930	|	YIT 12057	|		|	type material	|
+626932	|	Alistipes indistinctus	|		|	scientific name	|
+626932	|	Alistipes indistinctus Nagai et al. 2010	|		|	authority	|
+626932	|	DSM 22520	|		|	type material	|
+626932	|	JCM 16068	|		|	type material	|
+626932	|	YIT 12060	|		|	type material	|
+626933	|	DSM 22474	|		|	type material	|
+626933	|	JCM 16069	|		|	type material	|
+626933	|	Odoribacter laneus	|		|	scientific name	|
+626933	|	Odoribacter laneus Nagai et al. 2010	|		|	authority	|
+626933	|	YIT 12061	|		|	type material	|
+626940	|	"Phascolarctobacterium succinatutens" Watanabe et al. 2012	|		|	authority	|
+626940	|	DSM 22533	|		|	type material	|
+626940	|	JCM 16074	|		|	type material	|
+626940	|	Phascolarctobacterium sp. YIT 12068	|		|	includes	|
+626940	|	Phascolarctobacterium succinatutens	|		|	scientific name	|
+626940	|	YIT 12067	|		|	type material	|
+626962	|	Olive latent virus 3	|		|	scientific name	|
+627439	|	Human enteric coronavirus strain 4408	|		|	scientific name	|
+633135	|	Streptococcus phage Abc2	|		|	scientific name	|
+633135	|	Streptococcus thermophilus phage Abc2	|		|	synonym	|
+634176	|	Aggregatibacter aphrophilus NJ8700	|		|	scientific name	|
+634176	|	Aggregatibacter aphrophilus str. NJ8700	|		|	equivalent name	|
+634176	|	Aggregatibacter aphrophilus strain NJ8700	|		|	equivalent name	|
+646413	|	Streptococcus phage 5093	|		|	scientific name	|
+646413	|	Streptococcus thermophilus phage 5093	|		|	synonym	|
+663954	|	Streptococcus dysgalactiae subsp. equisimilis ATCC 12394	|		|	scientific name	|
+663954	|	Streptococcus dysgalactiae subsp. equisimilis str. ATCC 12394	|		|	equivalent name	|
+663954	|	Streptococcus dysgalactiae subsp. equisimilis strain ATCC 12394	|		|	equivalent name	|
+694569	|	Aggregatibacter actinomycetemcomitans D7S-1	|		|	scientific name	|
+694569	|	Aggregatibacter actinomycetemcomitans str. D7S-1	|		|	equivalent name	|
+694569	|	Aggregatibacter actinomycetemcomitans strain D7S-1	|		|	equivalent name	|
+697227	|	Enterobacteria phage IME08	|		|	scientific name	|
+751585	|	Coprococcus sp. ART55/1	|		|	scientific name	|
+754037	|	Cyanophage S-CAM1	|		|	synonym	|
+754037	|	Synechococcus phage S-CAM1	|		|	scientific name	|
+754064	|	Ostreococcus lucimarinus virus OlV5	|		|	scientific name	|
+759851	|	'Sporosarcina newyorkensis'	|		|	synonym	|
+759851	|	CCUG 59649	|		|	type material	|
+759851	|	DSM 23544	|		|	type material	|
+759851	|	LMG 26022	|		|	type material	|
+759851	|	Sporosarcina newyorkensis	|		|	scientific name	|
+759851	|	Sporosarcina sp. 1655	|		|	includes	|
+759851	|	Sporosarcina sp. 3418	|		|	includes	|
+759851	|	Sporosarcina sp. 4331	|		|	includes	|
+759851	|	Sporosarcina sp. 4469	|		|	includes	|
+759851	|	Sporosarcina sp. 4974	|		|	includes	|
+759851	|	Sporosarcina sp. 4984	|		|	includes	|
+759851	|	Sporosarcina sp. 5353	|		|	includes	|
+759851	|	Sporosarcina sp. 57	|		|	includes	|
+759851	|	Sporosarcina sp. 5868	|		|	includes	|
+759851	|	Sporosarcina sp. 6062	|		|	includes	|
+759851	|	Sporosarcina sp. R-31323	|		|	includes	|
+759851	|	strain 6062	|		|	type material	|
+760732	|	Acinetobacter phage Acj61	|		|	scientific name	|
+796942	|	'Stomatobaculum longum'	|		|	synonym	|
+796942	|	Lachnospiraceae bacterium ACC2	|		|	includes	|
+796942	|	Stomatobaculum longum	|		|	scientific name	|
+908937	|	Prevotella dentalis ATCC 49559	|		|	synonym	|
+908937	|	Prevotella dentalis DSM 3688	|		|	scientific name	|
+908937	|	Prevotella dentalis JCM 13448	|		|	synonym	|
+908937	|	Prevotella dentalis str. DSM 3688	|		|	equivalent name	|
+908937	|	Prevotella dentalis strain DSM 3688	|		|	equivalent name	|
+927666	|	Streptococcus oralis Uo5	|		|	scientific name	|
+927666	|	Streptococcus oralis str. Uo5	|		|	equivalent name	|
+927666	|	Streptococcus oralis strain Uo5	|		|	equivalent name	|
+932662	|	Mud crab dicistrovirus	|		|	scientific name	|
+1116482	|	Pectobacterium phage phiTE	|		|	scientific name	|
+1116482	|	bacteriophage phiTE	|		|	synonym	|
+1160968	|	Rabbit coronavirus HKU14	|		|	scientific name	|
+1161927	|	Pseudomonas phage Lu11	|		|	scientific name	|
+1172562	|	Helicobacter cinaedi PAGU611	|		|	scientific name	|
+1172562	|	Helicobacter cinaedi str. PAGU611	|		|	equivalent name	|
+1172562	|	Helicobacter cinaedi strain PAGU611	|		|	equivalent name	|
+1235559	|	Providencia phage Redjac	|		|	scientific name	|
diff --git a/inst/extdata/dat1/names_example.dmp.bck b/inst/extdata/dat1/names_example.dmp.bck
new file mode 100644
index 0000000..26d7094
--- /dev/null
+++ b/inst/extdata/dat1/names_example.dmp.bck
@@ -0,0 +1,2059 @@
+72	72	|	"Caryophanon muelleri" (Schmid 1922) Peshkoff 1948	|		|	authority	|
+72	72	|	ATCC 29453	|		|	type material	|
+72	72	|	CCUG 30554	|		|	type material	|
+72	72	|	CIP 103436	|		|	type material	|
+72	72	|	Caryophanon muelleri	|		|	synonym	|
+72	72	|	DSM 2579	|		|	type material	|
+72	72	|	LMG 7828	|		|	type material	|
+72	72	|	Scheibenbakterien	|		|	common name	|
+72	72	|	Scheibenbakterien Muller 1911	|		|	common name	|
+72	72	|	Simonsiella muelleri	|		|	scientific name	|
+72	72	|	Simonsiella muelleri Schmid 1922	|		|	authority	|
+158	158	|	"Spirillum dentium" (Miller 1889) Sternberg 1892	|		|	authority	|
+158	158	|	"Spirochaeta ambigua" Seguin and Vinzent 1936	|		|	authority	|
+158	158	|	"Spirochaeta comandonii" Seguin and Vinzent 1936	|		|	authority	|
+158	158	|	"Spirochaeta dentium" (Miller 1889) Migula 1895	|		|	authority	|
+158	158	|	"Spirochaeta microdentium" (Noguchi 1912) Heim 1922	|		|	authority	|
+158	158	|	"Spirochaeta orthodonta" Hoffmann 1920	|		|	authority	|
+158	158	|	"Spirochaete denticola" Flugge 1886	|		|	authority	|
+158	158	|	"Spirochaete dentium" Miller 1889	|		|	authority	|
+158	158	|	"Spironema dentium" (Miller 1889) Gross 1912	|		|	authority	|
+158	158	|	"Treponema ambiguum" (Seguin and Vinzent 1936) Prevot 1940	|		|	authority	|
+158	158	|	"Treponema comandonii" (Seguin and Vinzent 1936) Prevot 1940	|		|	authority	|
+158	158	|	"Treponema dentium" (Miller 1889) Dobell 1912	|		|	authority	|
+158	158	|	"Treponema dentium-stenogyratum" Pettit 1928	|		|	authority	|
+158	158	|	"Treponema microdentium" Noguchi 1912	|		|	authority	|
+158	158	|	"Treponema orthodontum" (Hoffmann 1920) Noguchi 1928	|		|	authority	|
+158	158	|	ATCC 35405	|		|	type material	|
+158	158	|	CIP 103919	|		|	type material	|
+158	158	|	DSM 14222	|		|	type material	|
+158	158	|	JCM 8153	|		|	type material	|
+158	158	|	Spirillum dentium	|		|	synonym	|
+158	158	|	Spirochaeta ambigua	|		|	synonym	|
+158	158	|	Spirochaeta comandonii	|		|	synonym	|
+158	158	|	Spirochaeta dentium	|		|	synonym	|
+158	158	|	Spirochaeta microdentium	|		|	synonym	|
+158	158	|	Spirochaeta orthodonta	|		|	synonym	|
+158	158	|	Spirochaete denticola	|		|	synonym	|
+158	158	|	Spirochaete dentium	|		|	synonym	|
+158	158	|	Spironema dentium	|		|	synonym	|
+158	158	|	Treponema ambiguum	|		|	synonym	|
+158	158	|	Treponema comandonii	|		|	synonym	|
+158	158	|	Treponema denticola	|		|	scientific name	|
+158	158	|	Treponema denticola (ex Brumpt 1925) Chan et al. 1993	|		|	authority	|
+158	158	|	Treponema denticola (ex Flugge 1886) Chan et al. 1993	|		|	authority	|
+158	158	|	Treponema dentium	|		|	synonym	|
+158	158	|	Treponema dentium-stenogyratum	|		|	synonym	|
+158	158	|	Treponema microdentium	|		|	synonym	|
+158	158	|	Treponema orthodontum	|		|	synonym	|
+204	204	|	ATCC 51146	|		|	type material	|
+204	204	|	CCUG 30254	|		|	type material	|
+204	204	|	CIP 103970	|		|	type material	|
+204	204	|	Campylobacter showae	|		|	scientific name	|
+204	204	|	Campylobacter showae Etoh et al. 1993	|		|	authority	|
+204	204	|	JCM 12989	|		|	type material	|
+204	204	|	LMG 12635	|		|	type material	|
+204	204	|	strain SU A4	|		|	type material	|
+222	222	|	Achromobacter	|		|	scientific name	|
+222	222	|	Achromobacter Yabuuchi and Yano 1981 emend. Yabuuchi et al. 1998	|		|	authority	|
+250	250	|	ATCC 35910	|		|	type material	|
+250	250	|	CCUG 14555	|		|	type material	|
+250	250	|	CIP 103039	|		|	type material	|
+250	250	|	Chryseobacterium gleum	|		|	scientific name	|
+250	250	|	Chryseobacterium gleum (Holmes et al. 1984) Vandamme et al. 1994	|		|	authority	|
+250	250	|	DSM 16776	|		|	type material	|
+250	250	|	Flavobacterium gleum	|		|	synonym	|
+250	250	|	Flavobacterium gleum Holmes et al. 1984	|		|	authority	|
+250	250	|	IFO 15054	|		|	type material	|
+250	250	|	JCM 2410	|		|	type material	|
+250	250	|	LMG 8334	|		|	type material	|
+250	250	|	NBRC 15054	|		|	type material	|
+250	250	|	NCTC 11432	|		|	type material	|
+250	250	|	strain F93	|		|	type material	|
+258	258	|	ATCC 33861	|		|	type material	|
+258	258	|	CCUG 13224	|		|	type material	|
+258	258	|	CDC E7288	|		|	type material	|
+258	258	|	CIP 100542	|		|	type material	|
+258	258	|	DSM 11722	|		|	type material	|
+258	258	|	Flavibacterium yabuuchiae	|		|	synonym	|
+258	258	|	Flavobacterium spiritivorum	|		|	synonym	|
+258	258	|	Flavobacterium spiritivorum Holmes et al. 1982	|		|	authority	|
+258	258	|	Flavobacterium yabuuchiae	|		|	synonym	|
+258	258	|	Flavobacterium yabuuchiae Holmes et al. 1988	|		|	authority	|
+258	258	|	GIFU 3101	|		|	type material	|
+258	258	|	IFO 14948	|		|	type material	|
+258	258	|	JCM 1277	|		|	type material	|
+258	258	|	JCM 6897	|		|	type material	|
+258	258	|	LMG 8347	|		|	type material	|
+258	258	|	NBRC 14948	|		|	type material	|
+258	258	|	NCTC 11386	|		|	type material	|
+258	258	|	Sphingobacter spiritivorum	|		|	misspelling	|
+258	258	|	Sphingobacterium spiritivorum	|		|	scientific name	|
+258	258	|	Sphingobacterium spiritivorum (Holmes et al. 1982) Yabuuchi et al. 1983	|		|	authority	|
+258	258	|	strain E7288	|		|	type material	|
+469	469	|	Acinetobacter	|		|	scientific name	|
+469	469	|	Acinetobacter Brisou and Prevot 1954	|		|	authority	|
+471	471	|	"Micrococcus calco-aceticus" Beijerinck 1911	|		|	authority	|
+471	471	|	ATCC 23055	|		|	type material	|
+471	471	|	Acinetobacter calcoaceticus	|		|	scientific name	|
+471	471	|	Acinetobacter calcoaceticus (Beijerinck 1911) Baumann et al. 1968 (Approved Lists 1980) emend. Bouvet and Grimont 1986	|		|	authority	|
+471	471	|	Acinetobacter genomosp. 1	|		|	synonym	|
+471	471	|	Acinetobacter genomospecies 1	|		|	synonym	|
+471	471	|	Acinetobacter sp. AV6	|		|	includes	|
+471	471	|	Acinetobacter sp. HNR	|		|	includes	|
+471	471	|	Acinetobacter sp. STB1	|		|	includes	|
+471	471	|	CAIM 17	|		|	type material	|
+471	471	|	CCUG 12804	|		|	type material	|
+471	471	|	CIP 81.8	|		|	type material	|
+471	471	|	DSM 30006	|		|	type material	|
+471	471	|	JCM 6842	|		|	type material	|
+471	471	|	LMG 1046	|		|	type material	|
+471	471	|	Micrococcus calcoaceticus	|		|	synonym	|
+471	471	|	Moraxella calcoacetica	|		|	synonym	|
+471	471	|	NCCB 22016	|		|	type material	|
+471	471	|	NCTC 12983	|		|	type material	|
+471	471	|	Neisseria winogradskyi	|		|	synonym	|
+482	482	|	"Gonococcus" Lindau 1898	|		|	synonym	|
+482	482	|	"Merismopedia" Zopf 1885	|		|	synonym	|
+482	482	|	Gonococcus	|		|	synonym	|
+482	482	|	Neisseria	|		|	scientific name	|
+482	482	|	Neisseria Trevisan 1885	|		|	synonym	|
+482	482	|	Nesseira	|		|	misspelling	|
+483	483	|	"Micrococcus cinereus" von Lingelsheim 1906	|		|	authority	|
+483	483	|	ATCC 14685	|		|	type material	|
+483	483	|	CCUG 2156	|		|	type material	|
+483	483	|	CCUG 346	|		|	type material	|
+483	483	|	CIP 73.16	|		|	type material	|
+483	483	|	DSM 4630	|		|	type material	|
+483	483	|	LMG 8380	|		|	type material	|
+483	483	|	Micrococcus cinereus	|		|	synonym	|
+483	483	|	NCTC 10294	|		|	type material	|
+483	483	|	Neisseria cinerea	|		|	scientific name	|
+483	483	|	Neisseria cinerea (von Lingelsheim 1906) Murray 1939	|		|	authority	|
+484	484	|	ATCC 13120	|		|	type material	|
+484	484	|	CCUG 17913	|		|	type material	|
+484	484	|	CCUG 345	|		|	type material	|
+484	484	|	CIP 73.15	|		|	type material	|
+484	484	|	DSM 17633	|		|	type material	|
+484	484	|	LMG 5297	|		|	type material	|
+484	484	|	NCTC 8263	|		|	type material	|
+484	484	|	Neisseria flavescens	|		|	scientific name	|
+484	484	|	Neisseria flavescens Branham 1930	|		|	authority	|
+486	486	|	"Neisseria lactamicus" (sic) Hollis et al. 1969	|		|	authority	|
+486	486	|	ATCC 23970	|		|	type material	|
+486	486	|	CCUG 5853	|		|	type material	|
+486	486	|	CIP 72.17	|		|	type material	|
+486	486	|	DSM 4691	|		|	type material	|
+486	486	|	NCTC 10617	|		|	type material	|
+486	486	|	Neisseria lactamica	|		|	scientific name	|
+486	486	|	Neisseria lactamica Hollis et al. 1969	|		|	authority	|
+486	486	|	Neisseria lactamicus	|		|	synonym	|
+487	487	|	"Diplokokkus intracellularis meningitidis" (sic) Weichselbaum 1887	|		|	authority	|
+487	487	|	"Micrococcus intracellularis" (Jaeger) Migula 1900	|		|	authority	|
+487	487	|	"Micrococcus meningitidis cerebrospinalis" Albrecht and Ghon 1901	|		|	authority	|
+487	487	|	"Micrococcus meningitidis" Albrecht and Ghon 1903	|		|	authority	|
+487	487	|	"Neisseria weichselbaumii" Trevisan 1889	|		|	authority	|
+487	487	|	ATCC 13077	|		|	type material	|
+487	487	|	CCUG 3269	|		|	type material	|
+487	487	|	CIP 73.10	|		|	type material	|
+487	487	|	DSM 10036	|		|	type material	|
+487	487	|	Diplokokkus intracellularis meningitidis	|		|	synonym	|
+487	487	|	Micrococcus intracellularis	|		|	synonym	|
+487	487	|	Micrococcus meningitidis	|		|	synonym	|
+487	487	|	Micrococcus meningitidis cerebrospinalis	|		|	synonym	|
+487	487	|	NCTC 10025	|		|	type material	|
+487	487	|	Neisseria meningitidis	|		|	scientific name	|
+487	487	|	Neisseria meningitidis (Albrecht and Ghon 1901) Murray 1929	|		|	authority	|
+487	487	|	Neisseria meningitidis.	|		|	misspelling	|
+487	487	|	Neisseria weichselbaumii	|		|	synonym	|
+487	487	|	strain Sara E. Branham M1027	|		|	type material	|
+488	488	|	"Diplococcus mucosus" von Lingelsheim 1906	|		|	authority	|
+488	488	|	ATCC 19696	|		|	type material	|
+488	488	|	CCUG 26877	|		|	type material	|
+488	488	|	CIP 59.51	|		|	type material	|
+488	488	|	DSM 17611	|		|	type material	|
+488	488	|	Diplococcus mucosus	|		|	synonym	|
+488	488	|	JCM 12992	|		|	type material	|
+488	488	|	NCTC 12978	|		|	type material	|
+488	488	|	Neisseria mucosa	|		|	scientific name	|
+488	488	|	Neisseria mucosa (von Lingelsheim 1906) Veron et al. 1959	|		|	authority	|
+488	488	|	Neisseria mucosa Veron et al. 1959 (sic)	|		|	authority	|
+489	489	|	"Neisseria polysacchareae" Riou et al. 1983	|		|	authority	|
+489	489	|	ATCC 43768	|		|	type material	|
+489	489	|	CCUG 18030	|		|	type material	|
+489	489	|	CIP 100113	|		|	type material	|
+489	489	|	NCTC 11858	|		|	type material	|
+489	489	|	Neisseria polysaccharea	|		|	scientific name	|
+489	489	|	Neisseria polysaccharea Riou and Guibourdenche 1987	|		|	authority	|
+489	489	|	Neisseria polysacchareae	|		|	synonym	|
+496	496	|	ATCC 33926	|		|	type material	|
+496	496	|	CIP 103346	|		|	type material	|
+496	496	|	Neisseria macaca	|		|	misspelling	|
+496	496	|	Neisseria macacae	|		|	scientific name	|
+496	496	|	Neisseria macacae Vedros et al. 1983	|		|	authority	|
+496	496	|	strain M-740	|		|	type material	|
+502	502	|	ATCC 33394	|		|	type material	|
+502	502	|	CCUG 6516	|		|	type material	|
+502	502	|	CCUG 9125	|		|	type material	|
+502	502	|	CIP 103473	|		|	type material	|
+502	502	|	DSM 10202	|		|	type material	|
+502	502	|	Kingella denitrificans	|		|	scientific name	|
+502	502	|	Kingella denitrificans Snell and Lapage 1976	|		|	authority	|
+502	502	|	NCTC 10995	|		|	type material	|
+504	504	|	"Moraxella kingae" Bovre et al. 1974	|		|	authority	|
+504	504	|	"Moraxella kingii" (sic) Henriksen and Bovre 1968	|		|	authority	|
+504	504	|	ATCC 23330	|		|	type material	|
+504	504	|	CCUG 352	|		|	type material	|
+504	504	|	CIP 80.16	|		|	type material	|
+504	504	|	DSM 7536	|		|	type material	|
+504	504	|	Kingella kingae	|		|	scientific name	|
+504	504	|	Kingella kingae (Henriksen and Bovre 1968) Henriksen and Bovre 1976	|		|	authority	|
+504	504	|	Kingella kingii	|		|	equivalent name	|
+504	504	|	Moraxella kingae	|		|	synonym	|
+504	504	|	Moraxella kingii	|		|	synonym	|
+504	504	|	NCTC 10529	|		|	type material	|
+505	505	|	ATCC 51147	|		|	type material	|
+505	505	|	CCUG 30450	|		|	type material	|
+505	505	|	CIP 103803	|		|	type material	|
+505	505	|	DSM 18271	|		|	type material	|
+505	505	|	Kingella orale	|		|	synonym	|
+505	505	|	Kingella oralis	|		|	scientific name	|
+505	505	|	Kingella oralis corrig. Dewhirst et al. 1993	|		|	authority	|
+505	505	|	strain UB-38	|		|	type material	|
+539	539	|	"Bacteroides corrodens" Eiken 1958 (in part)	|		|	synonym	|
+539	539	|	"Ristella corrodens" (Eiken 1958) Prevot 1966	|		|	synonym	|
+539	539	|	ATCC 23834	|		|	type material	|
+539	539	|	Bacteroides corrodens	|	Bacteroides corrodens <facultative anaerobe>	|	synonym	|
+539	539	|	CCUG 2138	|		|	type material	|
+539	539	|	CIP 70.75	|		|	type material	|
+539	539	|	DSM 8340	|		|	type material	|
+539	539	|	Eikenella corrodens	|		|	scientific name	|
+539	539	|	Eikenella corrodens (Eiken 1958) Jackson and Goodman 1972	|		|	synonym	|
+539	539	|	JCM 12952	|		|	type material	|
+539	539	|	LMG 15557	|		|	type material	|
+539	539	|	NCTC 10596	|		|	type material	|
+539	539	|	Ristella corrodens	|		|	synonym	|
+587	587	|	"Bacterium rettgeri" Hadley 1918	|		|	authority	|
+587	587	|	"Shigella rettgeri" (Hadley et al. 1918) Weldin 1927	|		|	authority	|
+587	587	|	ATCC 29944	|		|	type material	|
+587	587	|	Bacterium rettgeri	|		|	synonym	|
+587	587	|	CCUG 14804	|		|	type material	|
+587	587	|	CIP 103182	|		|	type material	|
+587	587	|	DSM 4542	|		|	type material	|
+587	587	|	JCM 1675	|		|	type material	|
+587	587	|	LMG 3259	|		|	type material	|
+587	587	|	NCTC 11801	|		|	type material	|
+587	587	|	Proteus rettgeri	|		|	synonym	|
+587	587	|	Proteus rettgeri (Hadley et al. 1918) Rustigian and Stuart 1943 (Approved Lists 1980)	|		|	authority	|
+587	587	|	Providencia rettgeri	|		|	scientific name	|
+587	587	|	Providencia rettgeri (Hadley 1918) Brenner et al. 1978	|		|	authority	|
+587	587	|	Shigella rettgeri	|		|	synonym	|
+588	588	|	"Proteus stuartii" Buttiaux et al. 1954	|		|	authority	|
+588	588	|	ATCC 29914	|		|	type material	|
+588	588	|	CCUG 14805	|		|	type material	|
+588	588	|	CIP 104687	|		|	type material	|
+588	588	|	DSM 4539	|		|	type material	|
+588	588	|	LMG 3260	|		|	type material	|
+588	588	|	NCTC 11800	|		|	type material	|
+588	588	|	Proteus stuartii	|		|	synonym	|
+588	588	|	Providencia stuartii	|		|	scientific name	|
+588	588	|	Providencia stuartii (Buttiaux et al. 1954) Ewing 1962	|		|	authority	|
+618	618	|	ATCC 33077	|		|	type material	|
+618	618	|	CCUG 14508	|		|	type material	|
+618	618	|	CDC 1979-77	|		|	type material	|
+618	618	|	CIP 79.1	|		|	type material	|
+618	618	|	DSM 4582	|		|	type material	|
+618	618	|	JCM 1243	|		|	type material	|
+618	618	|	NBRC 102598	|		|	type material	|
+618	618	|	NCTC 11214	|		|	type material	|
+618	618	|	Serratia odorifera	|		|	scientific name	|
+618	618	|	Serratia odorifera Grimont et al. 1978	|		|	authority	|
+618	618	|	Serratia odorifora	|		|	misspelling	|
+636	636	|	"Paracolobactrum anguillimortiferum" Hoshina 1962	|		|	authority	|
+636	636	|	ATCC 15947	|		|	type material	|
+636	636	|	CCUG 1638	|		|	type material	|
+636	636	|	CIP 78.61	|		|	type material	|
+636	636	|	DSM 30052	|		|	type material	|
+636	636	|	Edwardsiella anguillimortifera	|		|	synonym	|
+636	636	|	Edwardsiella anguillimortifera (Hoshina 1962) Sakazaki and Tamura 1975	|		|	authority	|
+636	636	|	Edwardsiella tarda	|		|	scientific name	|
+636	636	|	Edwardsiella tarda Ewing and McWhorter 1965	|		|	authority	|
+636	636	|	JCM 1656	|		|	type material	|
+636	636	|	LMG 2793	|		|	type material	|
+636	636	|	NCCB 73021	|		|	type material	|
+636	636	|	NCTC 10396	|		|	type material	|
+636	636	|	Paracolobactrum anguillimortiferum	|		|	synonym	|
+816	816	|	"Ristella" Prevot 1938	|		|	authority	|
+816	816	|	Bacteroides	|	Bacteroides <genus>	|	scientific name	|
+816	816	|	Bacteroides Castellani and Chalmers 1919 (Approved Lists 1980) emend. Shah and Collins 1989	|		|	authority	|
+816	816	|	Capsularis	|		|	synonym	|
+816	816	|	Capsularis Prevot 1938 (Approved Lists 1980)	|		|	authority	|
+816	816	|	Ristella	|	Ristella <bacteria>	|	synonym	|
+817	817	|	"Bacteroides inaequalis" Eggerth and Gagnon 1933	|		|	authority	|
+817	817	|	"Bacteroides incommunis" Eggerth and Gagnon 1933	|		|	authority	|
+817	817	|	"Bacteroides uncatus" Eggerth and Gagnon 1933	|		|	authority	|
+817	817	|	"Fusiformis fragilis" Topley and Wilson 1929	|		|	authority	|
+817	817	|	"Pseudobacterium fragilis" Krasil'nikov 1949	|		|	authority	|
+817	817	|	"Pseudobacterium inaequalis" (Eggerth and Gagnon 1933) Krasil'nikov 1949	|		|	authority	|
+817	817	|	"Pseudobacterium incommunis" (Eggerth and Gagnon 1933) Krasil'nikov 1949	|		|	authority	|
+817	817	|	"Pseudobacterium uncatum" (Eggerth and Gagnon 1933) Krasil'nikov 1949	|		|	authority	|
+817	817	|	"Ristella fragilis" Prevot 1938	|		|	authority	|
+817	817	|	"Ristella incommunis" (Eggerth and Gagnon 1933) Prevot 1938	|		|	authority	|
+817	817	|	"Ristella uncata" (Eggerth and Gagnon 1933) Prevot 1938	|		|	authority	|
+817	817	|	"Sphaerophorus inaequalis" (Eggerth and Gagnon 1933) Prevot 1938	|		|	authority	|
+817	817	|	"Sphaerophorus intermedius" Bergan and Hovig 1968	|		|	authority	|
+817	817	|	ATCC 25285	|		|	type material	|
+817	817	|	Bacillus fragilis	|		|	synonym	|
+817	817	|	Bacillus fragilis Veillon and Zuber 1898	|		|	authority	|
+817	817	|	Bacteroides fragili	|		|	misspelling	|
+817	817	|	Bacteroides fragilis	|		|	scientific name	|
+817	817	|	Bacteroides fragilis (Veillon and Zuber 1898) Castellani and Chalmers 1919	|		|	authority	|
+817	817	|	Bacteroides inaequalis	|		|	synonym	|
+817	817	|	Bacteroides incommunis	|		|	synonym	|
+817	817	|	Bacteroides uncatus	|		|	synonym	|
+817	817	|	CCUG 4856	|		|	type material	|
+817	817	|	CIP 77.16	|		|	type material	|
+817	817	|	DSM 2151	|		|	type material	|
+817	817	|	Fusiformis fragilis	|		|	synonym	|
+817	817	|	JCM 11019	|		|	type material	|
+817	817	|	LMG 10263	|		|	type material	|
+817	817	|	NCTC 9343	|		|	type material	|
+817	817	|	Pseudobacterium fragilis	|		|	synonym	|
+817	817	|	Pseudobacterium inaequalis	|		|	synonym	|
+817	817	|	Pseudobacterium incommunis	|		|	synonym	|
+817	817	|	Pseudobacterium uncatum	|		|	synonym	|
+817	817	|	Ristella fragilis	|		|	synonym	|
+817	817	|	Ristella incommunis	|		|	synonym	|
+817	817	|	Ristella uncata	|		|	synonym	|
+817	817	|	Sphaerophorus inaequalis	|		|	synonym	|
+817	817	|	Sphaerophorus intermedius	|		|	synonym	|
+823	823	|	"Bacteroides fragilis subsp. distasonis" (Eggerth and Gagnon 1933) Holdeman and Moore 1970	|		|	authority	|
+823	823	|	"Pseudobacterium distasonis" (Eggerth and Gagnon 1933) Krasil'nikov 1949	|		|	authority	|
+823	823	|	"Ristella distasonis" (Eggerth and Gagnon 1933) Prevot 1938	|		|	authority	|
+823	823	|	ATCC 8503	|		|	type material	|
+823	823	|	Bacteroides distasonis	|		|	synonym	|
+823	823	|	Bacteroides distasonis Eggerth and Gagnon 1933 (Approved Lists 1980)	|		|	authority	|
+823	823	|	Bacteroides fragilis subsp. distasoni	|		|	synonym	|
+823	823	|	CCUG 4941	|		|	type material	|
+823	823	|	CIP 104284	|		|	type material	|
+823	823	|	DSM 20701	|		|	type material	|
+823	823	|	JCM 5825	|		|	type material	|
+823	823	|	NCTC 11152	|		|	type material	|
+823	823	|	Parabacteroides distasonis	|		|	scientific name	|
+823	823	|	Parabacteroides distasonis (Eggerth and Gagnon 1933) Sakamoto and Benno 2006	|		|	authority	|
+823	823	|	Pseudobacterium distasonis	|		|	synonym	|
+823	823	|	Ristella distasonis	|		|	synonym	|
+824	824	|	ATCC 33236	|		|	type material	|
+824	824	|	Bacteroides gracilis	|		|	synonym	|
+824	824	|	Bacteroides gracilis Tanner et al. 1981	|		|	synonym	|
+824	824	|	CCUG 27720	|		|	type material	|
+824	824	|	Campylobacter gracilis	|		|	scientific name	|
+824	824	|	Campylobacter gracilis (Tanner et al. 1981) Vandamme et al. 1995	|		|	synonym	|
+824	824	|	DSM 19528	|		|	type material	|
+824	824	|	FDC 1084	|		|	type material	|
+824	824	|	JCM 8538	|		|	type material	|
+824	824	|	NCTC 12738	|		|	type material	|
+847	847	|	ATCC 35274	|		|	type material	|
+847	847	|	CIP 106513	|		|	type material	|
+847	847	|	Oxalobacter formigenes	|		|	scientific name	|
+847	847	|	Oxalobacter formigenes Allison et al. 1985	|		|	authority	|
+847	847	|	strain OxB	|		|	type material	|
+1017	1017	|	ATCC 33624	|		|	type material	|
+1017	1017	|	CCUG 9715	|		|	type material	|
+1017	1017	|	CIP 102945	|		|	type material	|
+1017	1017	|	Capnocytophaga gingivalis	|		|	scientific name	|
+1017	1017	|	Capnocytophaga gingivalis Leadbetter et al. 1982 emend. London et al. 1985	|		|	authority	|
+1017	1017	|	DSM 3290	|		|	type material	|
+1017	1017	|	JCM 12953	|		|	type material	|
+1017	1017	|	LMG 11514	|		|	type material	|
+1017	1017	|	NCTC 12372	|		|	type material	|
+1017	1017	|	strain 27	|	strain 27 <Capnocytophaga gingivalis>	|	type material	|
+1019	1019	|	ATCC 33612	|		|	type material	|
+1019	1019	|	CCUG 9714	|		|	type material	|
+1019	1019	|	CIP 104301	|		|	type material	|
+1019	1019	|	Capnocytophaga sputigena	|		|	scientific name	|
+1019	1019	|	Capnocytophaga sputigena Leadbetter et al. 1982	|		|	authority	|
+1019	1019	|	DSM 3292	|		|	type material	|
+1019	1019	|	DSM 7273	|		|	type material	|
+1019	1019	|	JCM 12967	|		|	type material	|
+1019	1019	|	LMG 11518	|		|	type material	|
+1019	1019	|	NCTC 11653	|		|	type material	|
+1019	1019	|	strain 4	|		|	type material	|
+1033	1033	|	Afipia	|		|	scientific name	|
+1033	1033	|	Afipia Brenner et al. 1992 emend. La Scola et al. 2002	|		|	authority	|
+1034	1034	|	ATCC 49720	|		|	type material	|
+1034	1034	|	Afipia clevelandensis	|		|	scientific name	|
+1034	1034	|	Afipia clevelandensis Brenner et al. 1992	|		|	authority	|
+1034	1034	|	CCUG 30457	|		|	type material	|
+1034	1034	|	CIP 103516	|		|	type material	|
+1034	1034	|	DSM 7315	|		|	type material	|
+1034	1034	|	NCTC 12721	|		|	type material	|
+1034	1034	|	strain B-91-007353	|		|	type material	|
+1035	1035	|	AFIP strain BV	|		|	type material	|
+1035	1035	|	ATCC 53690	|		|	type material	|
+1035	1035	|	Afipia felis	|		|	scientific name	|
+1035	1035	|	Afipia felis Brenner et al. 1992	|		|	authority	|
+1035	1035	|	CCUG 30456	|		|	type material	|
+1035	1035	|	CIP 103515	|		|	type material	|
+1035	1035	|	DSM 7326	|		|	type material	|
+1035	1035	|	NCTC 12499	|		|	type material	|
+1035	1035	|	cat scratch disease bacillus	|		|	genbank common name	|
+1035	1035	|	strain B-91-007352	|		|	type material	|
+1260	1260	|	"Diplococcus magnus" Prevot 1933	|		|	authority	|
+1260	1260	|	ATCC 15794	|		|	type material	|
+1260	1260	|	CCUG 17636	|		|	type material	|
+1260	1260	|	DSM 20470	|		|	type material	|
+1260	1260	|	Finegoldia magna	|		|	scientific name	|
+1260	1260	|	Finegoldia magna (Prevot 1933) Murdoch and Shah 2000	|		|	authority	|
+1260	1260	|	GIFU 7629	|		|	type material	|
+1260	1260	|	JCM 1766	|		|	type material	|
+1260	1260	|	NCTC 11804	|		|	type material	|
+1260	1260	|	Peptococcus magnus	|		|	synonym	|
+1260	1260	|	Peptococcus magnus (Prevot 1933) Holdeman and Moore 1972 (Approved Lists 1980)	|		|	authority	|
+1260	1260	|	Peptostreptococcus magnus	|		|	synonym	|
+1260	1260	|	Peptostreptococcus magnus (Prevot 1933) Ezaki et al. 1983	|		|	authority	|
+1270	1270	|	"Bacteridium luteum" Schroeter 1872	|		|	authority	|
+1270	1270	|	"Micrococcus flavus" Trevisan	|		|	authority	|
+1270	1270	|	"Micrococcus lysodeikticus" Fleming 1933	|		|	authority	|
+1270	1270	|	"Sarcina lutea" (Schroeter 1872) Schroeter 1886	|		|	authority	|
+1270	1270	|	ATCC 4698	|		|	type material	|
+1270	1270	|	Bacteridium luteum	|		|	synonym	|
+1270	1270	|	CCM 169	|		|	type material	|
+1270	1270	|	CCUG 5858	|		|	type material	|
+1270	1270	|	CIP A270	|		|	type material	|
+1270	1270	|	DSM 20030	|		|	type material	|
+1270	1270	|	HAMBI 1399	|		|	type material	|
+1270	1270	|	HAMBI 26	|		|	type material	|
+1270	1270	|	IEGM 391	|		|	type material	|
+1270	1270	|	IFO 3333	|		|	type material	|
+1270	1270	|	JCM 1464	|		|	type material	|
+1270	1270	|	LMG 4050	|		|	type material	|
+1270	1270	|	Micrococcus luteus	|		|	scientific name	|
+1270	1270	|	Micrococcus luteus (Schroeter 1872) Cohn 1872 (Approved Lists 1980) emend. Wieser et al. 2002	|		|	authority	|
+1270	1270	|	Micrococcus lysodeikticus	|		|	synonym	|
+1270	1270	|	NBRC 3333	|		|	type material	|
+1270	1270	|	NCCB 78001	|		|	type material	|
+1270	1270	|	NCTC 2665	|		|	type material	|
+1270	1270	|	NRRL B-287	|		|	type material	|
+1270	1270	|	Sarcina lutea	|		|	synonym	|
+1270	1270	|	VKM B-1314	|		|	type material	|
+1270	1270	|	not "Micrococcus luteus" Lehmann and Neumann 1896	|		|	authority	|
+1279	1279	|	"Aurococcus" Winslow and Rogers 1906	|		|	authority	|
+1279	1279	|	Aurococcus	|		|	synonym	|
+1279	1279	|	Staphylococcus	|		|	scientific name	|
+1279	1279	|	Staphylococcus Rosenbach 1884	|		|	authority	|
+1301	1301	|	Streptococcus	|		|	scientific name	|
+1301	1301	|	Streptococcus Rosenbach 1884	|		|	authority	|
+1303	1303	|	ATCC 35037	|		|	type material	|
+1303	1303	|	CCUG 13229	|		|	type material	|
+1303	1303	|	CCUG 24891	|		|	type material	|
+1303	1303	|	CIP 102922	|		|	type material	|
+1303	1303	|	DSM 20627	|		|	type material	|
+1303	1303	|	JCM 12997	|		|	type material	|
+1303	1303	|	LMG 14532	|		|	type material	|
+1303	1303	|	NCTC 11427	|		|	type material	|
+1303	1303	|	Streptococcus oralis	|		|	scientific name	|
+1303	1303	|	Streptococcus oralis Bridge and Sneath 1982 emend. Kilian et al. 1989	|		|	authority	|
+1303	1303	|	Streptococcus oralis Bridge and Sneath 1982 emend. Kilpper-Balz et al. 1985	|		|	authority	|
+1303	1303	|	strain LVG 1	|		|	type material	|
+1303	1303	|	strain PB 182	|		|	type material	|
+1303	1303	|	strain SK23	|		|	type material	|
+1305	1305	|	ATCC 10556	|		|	type material	|
+1305	1305	|	CCUG 17826	|		|	type material	|
+1305	1305	|	CCUG 35770	|		|	type material	|
+1305	1305	|	CIP 55.128	|		|	type material	|
+1305	1305	|	DSM 20567	|		|	type material	|
+1305	1305	|	JCM 5708	|		|	type material	|
+1305	1305	|	LMG 14702	|		|	type material	|
+1305	1305	|	NCTC 7863	|		|	type material	|
+1305	1305	|	Streptococcus sanguinis	|		|	scientific name	|
+1305	1305	|	Streptococcus sanguinis corrig. White and Niven 1946 (Approved Lists 1980) emend. Kilian et al. 1989	|		|	authority	|
+1305	1305	|	Streptococcus sanguis	|		|	misspelling	|
+1305	1305	|	strain SK1	|	strain SK1 <Streptococcus sanguinis>	|	type material	|
+1317	1317	|	ATCC 33748	|		|	type material	|
+1317	1317	|	CCUG 24890	|		|	type material	|
+1317	1317	|	CIP 103222	|		|	type material	|
+1317	1317	|	DSM 5635	|		|	type material	|
+1317	1317	|	LMG 14514	|		|	type material	|
+1317	1317	|	NCTC 11391	|		|	type material	|
+1317	1317	|	Streptococcus downei	|		|	scientific name	|
+1317	1317	|	Streptococcus downei Whiley et al. 1988	|		|	authority	|
+1317	1317	|	Streptococcus downensis	|		|	equivalent name	|
+1317	1317	|	strain MFe28	|		|	type material	|
+1322	1322	|	ATCC 27752	|		|	type material	|
+1322	1322	|	Blautia hansenii	|		|	scientific name	|
+1322	1322	|	Blautia hansenii (Holdeman and Moore 1974) Liu et al. 2008	|		|	authority	|
+1322	1322	|	CIP 104219	|		|	type material	|
+1322	1322	|	DSM 20583	|		|	type material	|
+1322	1322	|	JCM 14655	|		|	type material	|
+1322	1322	|	Ruminococcus hansenii	|		|	synonym	|
+1322	1322	|	Ruminococcus hansenii (Holdeman and Moore 1974) Ezaki et al. 1994	|		|	authority	|
+1322	1322	|	Streptococcus hansenii	|		|	synonym	|
+1322	1322	|	Streptococcus hansenii Holdeman and Moore 1974 (Approved Lists 1980)	|		|	authority	|
+1343	1343	|	ATCC 49124	|		|	type material	|
+1343	1343	|	CCUG 24893	|		|	type material	|
+1343	1343	|	CIP 103363	|		|	type material	|
+1343	1343	|	DSM 5636	|		|	type material	|
+1343	1343	|	LMG 13516	|		|	type material	|
+1343	1343	|	NCTC 12166	|		|	type material	|
+1343	1343	|	Streptococcus vestibularis	|		|	scientific name	|
+1343	1343	|	Streptococcus vestibularis Whiley and Hardie 1988	|		|	authority	|
+1343	1343	|	strain MM1	|	strain MM1 <Streptococcus vestibularis>	|	type material	|
+1352	1352	|	ATCC 19434	|		|	type material	|
+1352	1352	|	CCUG 542	|		|	type material	|
+1352	1352	|	CFBP 4248	|		|	type material	|
+1352	1352	|	CIP 103014	|		|	type material	|
+1352	1352	|	DSM 20477	|		|	type material	|
+1352	1352	|	Enterococcus faecium	|		|	scientific name	|
+1352	1352	|	Enterococcus faecium (Orla-Jensen 1919) Schleifer and Kilpper-Balz 1984	|		|	authority	|
+1352	1352	|	HAMBI 1710	|		|	type material	|
+1352	1352	|	JCM 5804	|		|	type material	|
+1352	1352	|	JCM 8727	|		|	type material	|
+1352	1352	|	LMG 11423	|		|	type material	|
+1352	1352	|	NBRC 100485	|		|	type material	|
+1352	1352	|	NBRC 100486	|		|	type material	|
+1352	1352	|	NCDO 942	|		|	type material	|
+1352	1352	|	NCIMB 11508	|		|	type material	|
+1352	1352	|	NCTC 7171	|		|	type material	|
+1352	1352	|	Streptococcus faecium	|		|	synonym	|
+1352	1352	|	Streptococcus faecium Orla-Jensen 1919 (Approved Lists 1980)	|		|	authority	|
+1383	1383	|	ATCC 49626	|		|	type material	|
+1383	1383	|	Atopobium rimae	|		|	scientific name	|
+1383	1383	|	Atopobium rimae (Olsen et al. 1991) Collins and Wallbanks 1993	|		|	synonym	|
+1383	1383	|	CCUG 31168	|		|	type material	|
+1383	1383	|	DSM 7090	|		|	type material	|
+1383	1383	|	IFO 15546	|		|	type material	|
+1383	1383	|	JCM 10299	|		|	type material	|
+1383	1383	|	LMG 11476	|		|	type material	|
+1383	1383	|	Lactobacillus rimae	|		|	synonym	|
+1383	1383	|	Lactobacillus rimae Olsen et al. 1991	|		|	synonym	|
+1383	1383	|	NBRC 15546	|		|	type material	|
+1383	1383	|	VPI D140H-11A	|		|	type material	|
+1496	1496	|	"Bacillus difficilis" Hall and O'Toole 1935	|		|	authority	|
+1496	1496	|	AS 1.2184	|		|	type material	|
+1496	1496	|	ATCC 9689	|		|	type material	|
+1496	1496	|	BCRC 10642	|		|	type material	|
+1496	1496	|	Bacillus difficilis	|		|	synonym	|
+1496	1496	|	CCRC 10642	|		|	type material	|
+1496	1496	|	CCUG 4938	|		|	type material	|
+1496	1496	|	CIP 104282	|		|	type material	|
+1496	1496	|	Clostridium difficile	|		|	equivalent name	|
+1496	1496	|	Clostridium difficile (Hall and O'Toole 1935) Prevot 1938	|		|	authority	|
+1496	1496	|	DSM 1296	|		|	type material	|
+1496	1496	|	JCM 1296	|		|	type material	|
+1496	1496	|	LMG 15861	|		|	type material	|
+1496	1496	|	NCIMB 10666	|		|	type material	|
+1496	1496	|	NCTC 11209	|		|	type material	|
+1496	1496	|	[Clostridium] difficile	|		|	scientific name	|
+1509	1509	|	"Bacillus sporogenes var. A" Metchnikoff 1908	|		|	authority	|
+1509	1509	|	"Clostridium sporogenes var. A" (Metchnikoff 1908) Prevot 1938	|		|	authority	|
+1509	1509	|	"Clostridium sporogenes" (Heller 1922) Bergey et al. 1923	|		|	authority	|
+1509	1509	|	"Metchnikovillus sporogenes" (sic) Heller 1922	|		|	authority	|
+1509	1509	|	ATCC 3584	|		|	type material	|
+1509	1509	|	BCRC 11259	|		|	type material	|
+1509	1509	|	Bacillus sporogenes var. A	|		|	synonym	|
+1509	1509	|	CCRC 11259	|		|	type material	|
+1509	1509	|	CCUG 15941	|		|	type material	|
+1509	1509	|	CIP 106155	|		|	type material	|
+1509	1509	|	Clostridium sporogenes	|		|	scientific name	|
+1509	1509	|	Clostridium sporogenes (Metchnikoff 1908) Bergey et al. 1923	|		|	authority	|
+1509	1509	|	Clostridium sporogenes var. A	|		|	synonym	|
+1509	1509	|	DSM 795	|		|	type material	|
+1509	1509	|	JCM 1416	|		|	type material	|
+1509	1509	|	LMG 8421	|		|	type material	|
+1509	1509	|	Metchnikovillus sporogenes	|		|	synonym	|
+1509	1509	|	NCIMB 10696	|		|	type material	|
+1509	1509	|	NCTC 13020	|		|	type material	|
+1535	1535	|	ATCC 29065	|		|	type material	|
+1535	1535	|	CCUG 48287	|		|	type material	|
+1535	1535	|	Clostridium leptum	|		|	scientific name	|
+1535	1535	|	Clostridium leptum Moore et al. 1976	|		|	authority	|
+1535	1535	|	DSM 753	|		|	type material	|
+1535	1535	|	[Clostridium] leptum	|		|	equivalent name	|
+1623	1623	|	ATCC 27780	|		|	type material	|
+1623	1623	|	CCUG 39465	|		|	type material	|
+1623	1623	|	CIP 103153	|		|	type material	|
+1623	1623	|	DSM 20403	|		|	type material	|
+1623	1623	|	JCM 1152	|		|	type material	|
+1623	1623	|	LMG 10756	|		|	type material	|
+1623	1623	|	Lactobacillus ruminis	|		|	scientific name	|
+1623	1623	|	Lactobacillus ruminis Sharpe et al. 1973	|		|	authority	|
+1623	1623	|	NBRC 102161	|		|	type material	|
+1623	1623	|	NRRL B-14853	|		|	type material	|
+1633	1633	|	ATCC 49540	|		|	type material	|
+1633	1633	|	CCUG 31452	|		|	type material	|
+1633	1633	|	CIP 105932	|		|	type material	|
+1633	1633	|	DSM 5837	|		|	type material	|
+1633	1633	|	JCM 9505	|		|	type material	|
+1633	1633	|	LMG 12891	|		|	type material	|
+1633	1633	|	Lactobacillus vaginalis	|		|	scientific name	|
+1633	1633	|	Lactobacillus vaginalis Embley et al. 1989	|		|	synonym	|
+1633	1633	|	NCTC 12197	|		|	type material	|
+1656	1656	|	"Odontomyces viscosus" Howell et al. 1965	|		|	synonym	|
+1656	1656	|	ATCC 15987	|		|	type material	|
+1656	1656	|	Actinomyces viscosus	|		|	scientific name	|
+1656	1656	|	Actinomyces viscosus (Howell et al. 1965) Georg et al. 1969	|		|	synonym	|
+1656	1656	|	CCUG 14476	|		|	type material	|
+1656	1656	|	CIP 103147	|		|	type material	|
+1656	1656	|	DSM 43327	|		|	type material	|
+1656	1656	|	JCM 8353	|		|	type material	|
+1656	1656	|	NCTC 10951	|		|	type material	|
+1656	1656	|	Odontomyces viscosus	|		|	synonym	|
+1660	1660	|	ATCC 17929	|		|	type material	|
+1660	1660	|	Actinomyces odontolyticus	|		|	scientific name	|
+1660	1660	|	Actinomyces odontolyticus Batty 1958	|		|	synonym	|
+1660	1660	|	CCUG 20536	|		|	type material	|
+1660	1660	|	CIP 101124	|		|	type material	|
+1660	1660	|	DSM 19120	|		|	type material	|
+1660	1660	|	DSM 43760	|		|	type material	|
+1660	1660	|	JCM 14871	|		|	type material	|
+1660	1660	|	LMG 18080	|		|	type material	|
+1660	1660	|	NCTC 9935	|		|	type material	|
+1681	1681	|	"Actinobacterium bifidum" (Tissier 1900) Puntoni 1937	|		|	authority	|
+1681	1681	|	"Actinomyces bifidus" (Tissier 1900) Nannizzi 1934	|		|	authority	|
+1681	1681	|	"Actinomyces parabifidus" (Weiss and Rettger 1938) Pine and Georg 1965	|		|	authority	|
+1681	1681	|	"Bacillus bifidus communis" Tissier 1900	|		|	authority	|
+1681	1681	|	"Bacillus bifidus" Tissier 1900	|		|	authority	|
+1681	1681	|	"Bacterium bifidum" (Tissier 1900) Lehmann and Neumann 1927	|		|	authority	|
+1681	1681	|	"Bacteroides bifidus" (Tissier 1900) Castellani and Chalmers 1919	|		|	authority	|
+1681	1681	|	"Bifidibacterium bifidum" (Tissier 1900) Prevot 1938	|		|	authority	|
+1681	1681	|	"Cohnistreptothrix bifidus" (Tissier 1900) Negroni and Fischer 1944	|		|	authority	|
+1681	1681	|	"Lactobacillus bifidus type II" Weiss and Rettger 1938	|		|	authority	|
+1681	1681	|	"Lactobacillus parabifidus" Weiss and Rettger 1938	|		|	authority	|
+1681	1681	|	"Nocardia bifida" (Tissier 1900) Vuillemin 1931	|		|	authority	|
+1681	1681	|	"Tissieria bifida" (Tissier 1900) Pribram 1929	|		|	authority	|
+1681	1681	|	AS 1.2212	|		|	type material	|
+1681	1681	|	ATCC 29521	|		|	type material	|
+1681	1681	|	Actinobacterium bifidum	|		|	synonym	|
+1681	1681	|	Actinomyces bifidus	|		|	synonym	|
+1681	1681	|	Actinomyces parabifidus	|		|	synonym	|
+1681	1681	|	BCRC 14615	|		|	type material	|
+1681	1681	|	Bacillus bifidus	|		|	synonym	|
+1681	1681	|	Bacillus bifidus communis	|		|	synonym	|
+1681	1681	|	Bacterium bifidum	|		|	synonym	|
+1681	1681	|	Bacteroides bifidus	|		|	synonym	|
+1681	1681	|	Bifidibacterium bifidum	|		|	synonym	|
+1681	1681	|	Bifidobacterium bifidum	|		|	scientific name	|
+1681	1681	|	Bifidobacterium bifidum (Tissier 1900) Orla-Jensen 1924	|		|	authority	|
+1681	1681	|	CCRC 14615	|		|	type material	|
+1681	1681	|	CCUG 18364	|		|	type material	|
+1681	1681	|	CCUG 45217	|		|	type material	|
+1681	1681	|	CIP 56.7	|		|	type material	|
+1681	1681	|	Cohnistreptothrix bifidus	|		|	synonym	|
+1681	1681	|	DSM 20456	|		|	type material	|
+1681	1681	|	HAMBI 1380	|		|	type material	|
+1681	1681	|	IFO 14252	|		|	type material	|
+1681	1681	|	JCM 1255	|		|	type material	|
+1681	1681	|	KCTC 3202	|		|	type material	|
+1681	1681	|	LMG 11041	|		|	type material	|
+1681	1681	|	LMG 8810	|		|	type material	|
+1681	1681	|	Lactobacillus bifidus type II	|		|	synonym	|
+1681	1681	|	Lactobacillus parabifidus	|		|	synonym	|
+1681	1681	|	NBRC 100015	|		|	type material	|
+1681	1681	|	NBRC 14252	|		|	type material	|
+1681	1681	|	NCFB 2715	|		|	type material	|
+1681	1681	|	NCIMB 702715	|		|	type material	|
+1681	1681	|	NCTC 13001	|		|	type material	|
+1681	1681	|	Nocardia bifida	|		|	synonym	|
+1681	1681	|	Tissieria bifida	|		|	synonym	|
+1681	1681	|	strain Ti	|		|	type material	|
+1689	1689	|	AS 1.2188	|		|	type material	|
+1689	1689	|	ATCC 27534	|		|	type material	|
+1689	1689	|	Actinomyces eriksonii	|		|	synonym	|
+1689	1689	|	BCRC 14662	|		|	type material	|
+1689	1689	|	Bifidobacterium dentium	|		|	scientific name	|
+1689	1689	|	Bifidobacterium dentium Scardovi and Crociani 1974	|		|	authority	|
+1689	1689	|	CCRC 14662	|		|	type material	|
+1689	1689	|	CCUG 18367	|		|	type material	|
+1689	1689	|	CIP 104176	|		|	type material	|
+1689	1689	|	DSM 20436	|		|	type material	|
+1689	1689	|	HAMBI 556	|		|	type material	|
+1689	1689	|	JCM 1195	|		|	type material	|
+1689	1689	|	LMG 10506	|		|	type material	|
+1689	1689	|	LMG 11045	|		|	type material	|
+1689	1689	|	NCFB 2243	|		|	type material	|
+1689	1689	|	NCIMB 702243	|		|	type material	|
+1689	1689	|	NCTC 11816	|		|	type material	|
+1747	1747	|	"Bacillus acnes" Gilchrist 1900	|		|	authority	|
+1747	1747	|	"Corynebacterium acnes" (Gilchrist 1900) Eberson 1918	|		|	authority	|
+1747	1747	|	ATCC 6919	|		|	type material	|
+1747	1747	|	Bacillus acnes	|		|	synonym	|
+1747	1747	|	CCUG 1794	|		|	type material	|
+1747	1747	|	CIP 53.117	|		|	type material	|
+1747	1747	|	Corynebacterium acnes	|		|	synonym	|
+1747	1747	|	DSM 1897	|		|	type material	|
+1747	1747	|	JCM 6425	|		|	type material	|
+1747	1747	|	LMG 16711	|		|	type material	|
+1747	1747	|	NCTC 737	|		|	type material	|
+1747	1747	|	NRRL B-4224	|		|	type material	|
+1747	1747	|	Propionibacterium acnes	|		|	scientific name	|
+1747	1747	|	Propionibacterium acnes (sic) (Gilchrist 1900) Douglas and Gunter 1946	|		|	authority	|
+1747	1747	|	Propionicibacterium acnes	|		|	equivalent name	|
+1747	1747	|	VKM Ac-1450	|		|	type material	|
+1827	1827	|	Rhodococcus	|		|	scientific name	|
+1827	1827	|	Rhodococcus Zopf 1891	|		|	authority	|
+2051	2051	|	ATCC 35241	|		|	type material	|
+2051	2051	|	ATCC 43063 [[Falcivibrio vaginalis]]	|		|	type material	|
+2051	2051	|	CCUG 21018	|		|	type material	|
+2051	2051	|	CCUG 24716 [[Falcivibrio vaginalis]]	|		|	type material	|
+2051	2051	|	DSM 23059	|		|	type material	|
+2051	2051	|	DSM 2711 [[Falcivibrio vaginalis]]	|		|	type material	|
+2051	2051	|	Falcivibrio vaginalis	|		|	synonym	|
+2051	2051	|	Falcivibrio vaginalis Hammann et al. 1984	|		|	authority	|
+2051	2051	|	LMG 7856 [[Falcivibrio vaginalis]]	|		|	type material	|
+2051	2051	|	Mobiluncus curtisii	|		|	scientific name	|
+2051	2051	|	Mobiluncus curtisii Spiegel and Roberts 1984 emend. Hoyles et al. 2004	|		|	authority	|
+2051	2051	|	NCTC 11656	|		|	type material	|
+2051	2051	|	NCTC 11820 [[Falcivibrio vaginalis]]	|		|	type material	|
+2051	2051	|	strain BV345-16	|		|	type material	|
+2051	2051	|	strain V125 [[Falcivibrio vaginalis]]	|		|	type material	|
+2173	2173	|	ATCC 35061	|		|	type material	|
+2173	2173	|	DSM 861	|		|	type material	|
+2173	2173	|	Methanobrevibacter smithii	|		|	scientific name	|
+2173	2173	|	Methanobrevibacter smithii Balch and Wolfe 1981	|		|	authority	|
+2173	2173	|	OCM 144	|		|	type material	|
+2173	2173	|	strain PS	|		|	type material	|
+9606	9606	|	Homo sapiens	|		|	scientific name	|
+9606	9606	|	Homo sapiens Linnaeus, 1758	|		|	authority	|
+9606	9606	|	human	|		|	genbank common name	|
+9606	9606	|	man	|		|	common name	|
+10090	10090	|	LK3 transgenic mice	|		|	includes	|
+10090	10090	|	Mus muscaris	|		|	misnomer	|
+10090	10090	|	Mus musculus	|		|	scientific name	|
+10090	10090	|	Mus musculus Linnaeus, 1758	|		|	authority	|
+10090	10090	|	Mus sp. 129SV	|		|	includes	|
+10090	10090	|	house mouse	|		|	genbank common name	|
+10090	10090	|	mice C57BL/6xCBA/CaJ hybrid	|		|	misspelling	|
+10090	10090	|	mouse	|		|	common name	|
+10090	10090	|	nude mice	|		|	includes	|
+10090	10090	|	transgenic mice	|		|	includes	|
+10401	10401	|	Channel catfish virus	|		|	genbank common name	|
+10401	10401	|	IcHV-1	|		|	genbank acronym	|
+10401	10401	|	Ictalurid herpesvirus 1	|		|	scientific name	|
+10401	10401	|	channel catfish virus CCV	|		|	synonym	|
+10493	10493	|	FV3	|		|	acronym	|
+10493	10493	|	Frog virus 3	|		|	scientific name	|
+10493	10493	|	Frog virus 3 iridovirus	|		|	synonym	|
+10493	10493	|	frog virus 3 FV3	|		|	synonym	|
+10493	10493	|	frog virus 3, FV3	|		|	synonym	|
+10506	10506	|	Chlorella PBCV-1 virus	|		|	synonym	|
+10506	10506	|	Chlorella virus PBCV-1	|		|	synonym	|
+10506	10506	|	PBCV-1	|		|	acronym	|
+10506	10506	|	Paramecium bursaria Chlorella virus 1	|		|	scientific name	|
+10506	10506	|	Paramecium bursaria Chlorella virus 1, PBCV-1	|		|	synonym	|
+10506	10506	|	Paramecium bursaria Chlorella virus PBCV-1	|		|	synonym	|
+10726	10726	|	Bacteriophage T5	|		|	synonym	|
+10726	10726	|	Enterobacteria phage T5	|		|	scientific name	|
+10726	10726	|	phage T5	|		|	synonym	|
+11128	11128	|	BCV	|		|	acronym	|
+11128	11128	|	BECV	|		|	acronym	|
+11128	11128	|	Bovine coronavirus	|		|	scientific name	|
+11128	11128	|	Bovine enteritic coronavirus	|		|	synonym	|
+11128	11128	|	Bovine enteritic coronavirus BECV	|		|	synonym	|
+11128	11128	|	bovine coronavirus BCV	|		|	synonym	|
+11128	11128	|	bovine enteric coronavirus	|		|	synonym	|
+11128	11128	|	calf diarrheal coronavirus	|		|	synonym	|
+11128	11128	|	neonatal calf diarrhea virus	|		|	synonym	|
+11142	11142	|	Murine coronavirus mhv (STRAIN A59)	|		|	synonym	|
+11142	11142	|	Murine hepatitis virus (strain A59)	|		|	synonym	|
+11142	11142	|	Murine hepatitis virus strain A59	|		|	scientific name	|
+11144	11144	|	Murine coronavirus mhv (STRAIN JHM)	|		|	synonym	|
+11144	11144	|	Murine hepatitis virus (strain JHM)	|		|	synonym	|
+11144	11144	|	Murine hepatitis virus strain JHM	|		|	scientific name	|
+13690	13690	|	ATCC 51230	|		|	type material	|
+13690	13690	|	Beijerinckia B1	|		|	includes	|
+13690	13690	|	Beijerinckia sp. B1	|		|	includes	|
+13690	13690	|	CCUG 28380	|		|	type material	|
+13690	13690	|	CCUG 31205	|		|	type material	|
+13690	13690	|	CIP 106726	|		|	type material	|
+13690	13690	|	DSM 7462	|		|	type material	|
+13690	13690	|	GIFU 9882	|		|	type material	|
+13690	13690	|	HAMBI 1842	|		|	type material	|
+13690	13690	|	IFO 15102	|		|	type material	|
+13690	13690	|	JCM 7371	|		|	type material	|
+13690	13690	|	LMG 11252	|		|	type material	|
+13690	13690	|	NBRC 15102	|		|	type material	|
+13690	13690	|	Sphingobium yanoikuyae	|		|	scientific name	|
+13690	13690	|	Sphingobium yanoikuyae (Yabuuchi et al. 1990) Takeuchi et al. 2001	|		|	synonym	|
+13690	13690	|	Sphingomonas yanoikuyae	|		|	genbank synonym	|
+13690	13690	|	Sphingomonas yanoikuyae Yabuuchi et al. 1990	|		|	synonym	|
+28037	28037	|	ATCC 49456	|	ATCC 49456 <neotype strain>	|	type material	|
+28037	28037	|	CCUG 31611	|	CCUG 31611 <neotype strain>	|	type material	|
+28037	28037	|	CCUG 35790	|	CCUG 35790 <neotype strain>	|	type material	|
+28037	28037	|	CIP 103335	|	CIP 103335 <neotype strain>	|	type material	|
+28037	28037	|	DSM 12643	|	DSM 12643 <neotype strain>	|	type material	|
+28037	28037	|	JCM 12971	|	JCM 12971 <neotype strain>	|	type material	|
+28037	28037	|	LMG 14557	|	LMG 14557 <neotype strain>	|	type material	|
+28037	28037	|	NCTC 12261	|	NCTC 12261 <neotype strain>	|	type material	|
+28037	28037	|	Streptococcus mitis	|		|	scientific name	|
+28037	28037	|	Streptococcus mitis Andrewes and Horder 1906 (Approved Lists 1980) emend. Kilian et al. 1989	|		|	authority	|
+28037	28037	|	Streptococcus mitis Andrewes and Horder 1906 emend. Judicial Commission 1993	|		|	authority	|
+28037	28037	|	strain NS 51	|	strain NS 51 <neotype strain>	|	type material	|
+28080	28080	|	ATCC 43954	|		|	type material	|
+28080	28080	|	CCUG 14913	|		|	type material	|
+28080	28080	|	CIP 103681	|		|	type material	|
+28080	28080	|	CNW group	|		|	synonym	|
+28080	28080	|	Campylobacter upsaliensis	|		|	scientific name	|
+28080	28080	|	Campylobacter upsaliensis Sandstedt and Ursing 1991	|		|	authority	|
+28080	28080	|	DSM 5365	|		|	type material	|
+28080	28080	|	NCTC 11541	|		|	type material	|
+28080	28080	|	catalase-negative or weak group of campylobacteria	|		|	synonym	|
+28111	28111	|	ATCC 27754	|		|	type material	|
+28111	28111	|	Bacteroides eggerthii	|		|	scientific name	|
+28111	28111	|	Bacteroides eggerthii Holdeman and Moore 1974	|		|	authority	|
+28111	28111	|	CCUG 9559	|		|	type material	|
+28111	28111	|	CIP 104285	|		|	type material	|
+28111	28111	|	DSM 20697	|		|	type material	|
+28111	28111	|	JCM 12986	|		|	type material	|
+28111	28111	|	NCTC 11155	|		|	type material	|
+28116	28116	|	"Bacteroides fragilis subsp. ovatus" (Eggerth and Gagnon 1933) Holdeman and Moore 1970	|		|	authority	|
+28116	28116	|	"Pasteurella ovata" (Eggerth and Gagnon 1933) Prevot 1938	|		|	authority	|
+28116	28116	|	"Pseudobacterium ovatum" (Eggerth and Gagnon 1933) Krasil'nikov 1949	|		|	authority	|
+28116	28116	|	ATCC 8483	|		|	type material	|
+28116	28116	|	BCRC 10623	|		|	type material	|
+28116	28116	|	Bacteroides fragilis subsp. ovatus	|		|	synonym	|
+28116	28116	|	Bacteroides ovatus	|		|	scientific name	|
+28116	28116	|	Bacteroides ovatus Eggerth and Gagnon 1933	|		|	authority	|
+28116	28116	|	CCRC 10623	|		|	type material	|
+28116	28116	|	CCUG 4943	|		|	type material	|
+28116	28116	|	CIP 103756	|		|	type material	|
+28116	28116	|	DSM 1896	|		|	type material	|
+28116	28116	|	JCM 5824	|		|	type material	|
+28116	28116	|	NCTC 11153	|		|	type material	|
+28116	28116	|	Pasteurella ovata	|		|	synonym	|
+28116	28116	|	Pseudobacterium ovatum	|		|	synonym	|
+28117	28117	|	"Bacillus putredinis" Weinberg et al. 1937	|		|	authority	|
+28117	28117	|	"Pseudobacterium putredinis" (Weinberg et al. 1937) Krasil'nikov 1949	|		|	authority	|
+28117	28117	|	"Ristella putredinis" (Weinberg et al. 1937) Prevot 1938	|		|	authority	|
+28117	28117	|	ATCC 29800	|		|	type material	|
+28117	28117	|	Alistipes putredinis	|		|	scientific name	|
+28117	28117	|	Alistipes putredinis (Weinberg et al. 1937) Rautio et al. 2003	|		|	authority	|
+28117	28117	|	Bacillus putredinis	|		|	synonym	|
+28117	28117	|	Bacteroides putredenis	|		|	misspelling	|
+28117	28117	|	Bacteroides putredinis	|		|	synonym	|
+28117	28117	|	Bacteroides putredinis (Weinberg et al. 1937) Kelly 1957 (Approved Lists 1980)	|		|	authority	|
+28117	28117	|	CCUG 45780	|		|	type material	|
+28117	28117	|	CIP 104286	|		|	type material	|
+28117	28117	|	DSM 17216	|		|	type material	|
+28117	28117	|	JCM 16772	|		|	type material	|
+28117	28117	|	Pseudobacterium putredinis	|		|	synonym	|
+28117	28117	|	Ristella putredinis	|		|	synonym	|
+28124	28124	|	ATCC 35406	|		|	type material	|
+28124	28124	|	Bacteroides endodontalis	|		|	synonym	|
+28124	28124	|	Bacteroides endodontalis van Steenbergen et al. 1984	|		|	authority	|
+28124	28124	|	DSM 24491	|		|	type material	|
+28124	28124	|	JCM 8526	|		|	type material	|
+28124	28124	|	NCTC 13058	|		|	type material	|
+28124	28124	|	Porphyromonas endodontalis	|		|	scientific name	|
+28124	28124	|	Porphyromonas endodontalis (van Steenbergen et al. 1984) Shah and Collins 1988	|		|	authority	|
+28124	28124	|	strain HG370	|		|	type material	|
+28127	28127	|	ATCC 35310	|		|	type material	|
+28127	28127	|	Bacteroides buccalis	|		|	synonym	|
+28127	28127	|	Bacteroides buccalis Shah and Collins 1982	|		|	synonym	|
+28127	28127	|	CCUG 15557	|		|	type material	|
+28127	28127	|	DSM 20616	|		|	type material	|
+28127	28127	|	JCM 12246	|		|	type material	|
+28127	28127	|	NCDO 2354	|		|	type material	|
+28127	28127	|	NCTC 13064	|		|	type material	|
+28127	28127	|	Prevotella buccalis	|		|	scientific name	|
+28127	28127	|	Prevotella buccalis (Shah and Collins 1982) Shah and Collins 1990	|		|	synonym	|
+28133	28133	|	ATCC 33563	|		|	type material	|
+28133	28133	|	CCUG 9560	|		|	type material	|
+28133	28133	|	CIP 105552	|		|	type material	|
+28133	28133	|	DSM 13386	|		|	type material	|
+28133	28133	|	JCM 12250	|		|	type material	|
+28133	28133	|	JCM 6322	|		|	type material	|
+28133	28133	|	NCTC 9336	|		|	type material	|
+28133	28133	|	Prevotella nigrescens	|		|	scientific name	|
+28133	28133	|	Prevotella nigrescens Shah and Gharbia 1992	|		|	authority	|
+28133	28133	|	VPI 8944	|		|	type material	|
+28133	28133	|	strain Lambe 729-74	|		|	type material	|
+28134	28134	|	"Ristella oralis" (Loesche et al. 1964) Prevot et al. 1967	|		|	authority	|
+28134	28134	|	ATCC 33269	|		|	type material	|
+28134	28134	|	Bacteroides oralis	|		|	synonym	|
+28134	28134	|	Bacteroides oralis Loesche et al. 1964 (Approved Lists 1980)	|		|	authority	|
+28134	28134	|	CCUG 15408	|		|	type material	|
+28134	28134	|	DSM 20702	|		|	type material	|
+28134	28134	|	JCM 12251	|		|	type material	|
+28134	28134	|	NCTC 11459	|		|	type material	|
+28134	28134	|	Prevotella oralis	|		|	scientific name	|
+28134	28134	|	Prevotella oralis (Loesche et al. 1964) Shah and Collins 1990	|		|	authority	|
+28134	28134	|	Ristella oralis	|		|	synonym	|
+28134	28134	|	VPI D27B-24	|		|	type material	|
+28135	28135	|	ATCC 33573	|		|	type material	|
+28135	28135	|	Bacteroides oris	|		|	synonym	|
+28135	28135	|	Bacteroides oris Holdeman et al. 1982	|		|	authority	|
+28135	28135	|	CCUG 15405	|		|	type material	|
+28135	28135	|	CIP 104480	|		|	type material	|
+28135	28135	|	DSM 18711	|		|	type material	|
+28135	28135	|	JCM 12252	|		|	type material	|
+28135	28135	|	JCM 8540	|		|	type material	|
+28135	28135	|	NCTC 13071	|		|	type material	|
+28135	28135	|	Prevotella oris	|		|	scientific name	|
+28135	28135	|	Prevotella oris (Holdeman et al. 1982) Shah and Collins 1990	|		|	authority	|
+28135	28135	|	VPI D1A-1A	|		|	type material	|
+28137	28137	|	ATCC 33779	|		|	type material	|
+28137	28137	|	Bacteroides veroralis	|		|	synonym	|
+28137	28137	|	Bacteroides veroralis Watabe et al. 1983	|		|	authority	|
+28137	28137	|	CCUG 15422	|		|	type material	|
+28137	28137	|	JCM 6290	|		|	type material	|
+28137	28137	|	Prevotella veroralis	|		|	scientific name	|
+28137	28137	|	Prevotella veroralis (Watabe et al. 1983) Shah and Collins 1990 emend. Wu et al. 1992	|		|	authority	|
+28137	28137	|	VPI D22A-7	|		|	type material	|
+28197	28197	|	ATCC 49616	|		|	type material	|
+28197	28197	|	Arcibacter butzleri	|		|	equivalent name	|
+28197	28197	|	Arcobacter butzleri	|		|	scientific name	|
+28197	28197	|	Arcobacter butzleri (Kiehlbauch et al. 1991) Vandamme et al. 1992	|		|	authority	|
+28197	28197	|	Arcobacter butzlerii	|		|	misspelling	|
+28197	28197	|	Arquibacter butzleri	|		|	equivalent name	|
+28197	28197	|	CCUG 30485	|		|	type material	|
+28197	28197	|	CDC D2686	|		|	type material	|
+28197	28197	|	CIP 103493	|		|	type material	|
+28197	28197	|	CIP 103537	|		|	type material	|
+28197	28197	|	Campylobacter butzleri	|		|	synonym	|
+28197	28197	|	Campylobacter butzleri Kiehlbauch et al. 1991	|		|	authority	|
+28197	28197	|	DSM 8739	|		|	type material	|
+28197	28197	|	LMG 10828	|		|	type material	|
+28197	28197	|	NCTC 12481	|		|	type material	|
+28197	28197	|	strain D2686	|		|	type material	|
+28211	28211	|	"Alphabacteria" Cavalier-Smith 1992	|		|	authority	|
+28211	28211	|	Alphabacteria	|		|	synonym	|
+28211	28211	|	Alphabacteria Cavalier-Smith 2002	|		|	authority	|
+28211	28211	|	Alphaproteobacteria	|		|	scientific name	|
+28211	28211	|	Alphaproteobacteria Garrity et al. 2006	|		|	authority	|
+28211	28211	|	Proteobacteria alpha subdivision	|		|	synonym	|
+28211	28211	|	Purple bacteria, alpha subdivision	|		|	synonym	|
+28211	28211	|	a-proteobacteria	|	alpha proteos<blast28211>	|	blast name	|
+28211	28211	|	alpha proteobacteria	|		|	synonym	|
+28211	28211	|	alpha subdivision	|		|	synonym	|
+28211	28211	|	alpha subgroup	|		|	synonym	|
+28449	28449	|	"Micrococcus subflavus" Flugge 1886	|		|	authority	|
+28449	28449	|	ATCC 49275	|		|	type material	|
+28449	28449	|	CCUG 23930	|		|	type material	|
+28449	28449	|	CIP 103343	|		|	type material	|
+28449	28449	|	DSM 17610	|		|	type material	|
+28449	28449	|	LMG 5313	|		|	type material	|
+28449	28449	|	Micrococcus subflavus	|		|	synonym	|
+28449	28449	|	NRL 30,017	|		|	type material	|
+28449	28449	|	Neisseria subflava	|		|	scientific name	|
+28449	28449	|	Neisseria subflava (Flugge 1886) Trevisan 1889	|		|	authority	|
+28449	28449	|	strain U37	|		|	type material	|
+29321	29321	|	ATCC 51513	|		|	type material	|
+29321	29321	|	CCUG 32254	|		|	type material	|
+29321	29321	|	CDC coryneform group ANF-1 like	|		|	synonym	|
+29321	29321	|	CIP 104075	|		|	type material	|
+29321	29321	|	Corynebacterium otitidis	|		|	synonym	|
+29321	29321	|	DSM 8821	|		|	type material	|
+29321	29321	|	JCM 12146	|		|	type material	|
+29321	29321	|	LMG 19071	|		|	type material	|
+29321	29321	|	Turicella otitidis	|		|	scientific name	|
+29321	29321	|	Turicella otitidis Funke et al. 1994	|		|	authority	|
+29321	29321	|	strain 234/92	|		|	type material	|
+29347	29347	|	ATCC 35704	|		|	type material	|
+29347	29347	|	CIP 106687	|		|	type material	|
+29347	29347	|	Clostridium scindens	|		|	scientific name	|
+29347	29347	|	Clostridium scindens Morris et al. 1985	|		|	authority	|
+29347	29347	|	DSM 5676	|		|	type material	|
+29347	29347	|	Eubacterium VPI-12708	|		|	includes	|
+29347	29347	|	Eubacterium sp. (strain VPI 12708)	|		|	includes	|
+29347	29347	|	Eubacterium sp. VPI 12708	|		|	includes	|
+29347	29347	|	Eubacterium sp. VPI-12708	|		|	includes	|
+29347	29347	|	JCM 6567	|		|	type material	|
+29347	29347	|	[Clostridium] scindens	|		|	equivalent name	|
+29347	29347	|	strain Bokkenheuser 19	|		|	type material	|
+29348	29348	|	ATCC 29900	|		|	type material	|
+29348	29348	|	CCUG 46510	|		|	type material	|
+29348	29348	|	CIP 106966	|		|	type material	|
+29348	29348	|	Clostridium spiroforme	|		|	equivalent name	|
+29348	29348	|	Clostridium spiroforme Kaneuchi et al. 1979	|		|	authority	|
+29348	29348	|	DSM 1552	|		|	type material	|
+29348	29348	|	JCM 1432	|		|	type material	|
+29348	29348	|	NCTC 11211	|		|	type material	|
+29348	29348	|	VPI C28-23-1A	|		|	type material	|
+29348	29348	|	[Clostridium] spiroforme	|		|	scientific name	|
+29361	29361	|	ATCC 27757	|		|	type material	|
+29361	29361	|	Clostridium nexile	|		|	scientific name	|
+29361	29361	|	Clostridium nexile Holdeman and Moore 1974	|		|	authority	|
+29361	29361	|	DSM 1787	|		|	type material	|
+29361	29361	|	[Clostridium] nexile	|		|	equivalent name	|
+29380	29380	|	ATCC 35538	|		|	type material	|
+29380	29380	|	CCM 3573	|		|	type material	|
+29380	29380	|	CCUG 15604	|		|	type material	|
+29380	29380	|	CIP 104000	|		|	type material	|
+29380	29380	|	DSM 20608	|		|	type material	|
+29380	29380	|	NCTC 12196	|		|	type material	|
+29380	29380	|	NRRL B-14757	|		|	type material	|
+29380	29380	|	Staphylococcus caprae	|		|	scientific name	|
+29380	29380	|	Staphylococcus caprae Devriese et al. 1983 emend. Kawamura et al. 1998	|		|	synonym	|
+29380	29380	|	strain 143.22	|		|	type material	|
+29388	29388	|	ATCC 27840	|		|	type material	|
+29388	29388	|	CCM 2734	|		|	type material	|
+29388	29388	|	CCUG 7326	|		|	type material	|
+29388	29388	|	CIP 81.53	|		|	type material	|
+29388	29388	|	DSM 20326	|		|	type material	|
+29388	29388	|	JCM 2420	|		|	type material	|
+29388	29388	|	LMG 13353	|		|	type material	|
+29388	29388	|	NCTC 11045	|		|	type material	|
+29388	29388	|	NRRL B-14752	|		|	type material	|
+29388	29388	|	Staphylococcus capiti	|		|	misspelling	|
+29388	29388	|	Staphylococcus capitis	|		|	scientific name	|
+29388	29388	|	Staphylococcus capitis Kloos and Schleifer 1975	|		|	synonym	|
+29466	29466	|	"Micrococcus gazogenes alcalescens anaerobius" Lewkowicz 1901	|		|	authority	|
+29466	29466	|	"Micrococcus gazogenes" Hall and Howitt 1925	|		|	authority	|
+29466	29466	|	"Micrococcus lactilyticus" Foubert and Douglas 1948	|		|	authority	|
+29466	29466	|	"Staphylococcus parvulus" Veillon and Zuber 1898	|		|	authority	|
+29466	29466	|	"Veillonella gazogenes" (Hall and Howitt 1925) Murray 1939	|		|	authority	|
+29466	29466	|	ATCC 10790	|		|	type material	|
+29466	29466	|	CCUG 5123	|		|	type material	|
+29466	29466	|	DSM 2008	|		|	type material	|
+29466	29466	|	JCM 12972	|		|	type material	|
+29466	29466	|	Micrococcus gazogenes	|		|	synonym	|
+29466	29466	|	Micrococcus gazogenes alcalescens anaerobius	|		|	synonym	|
+29466	29466	|	Micrococcus lactilyticus	|		|	synonym	|
+29466	29466	|	NCTC 11810	|		|	type material	|
+29466	29466	|	Staphylococcus parvulus	|		|	synonym	|
+29466	29466	|	Veillonella alcalescens	|		|	synonym	|
+29466	29466	|	Veillonella alcalescens Prevot 1933	|		|	authority	|
+29466	29466	|	Veillonella gazogenes	|		|	synonym	|
+29466	29466	|	Veillonella parvula	|		|	scientific name	|
+29466	29466	|	Veillonella parvula (Veillon and Zuber 1898) Prevot 1933 (AL 1980) emend. Mays et al. 1982	|		|	authority	|
+29466	29466	|	not "Micrococcus gazogenes" Choukevitch 1911	|		|	authority	|
+31631	31631	|	HCoV-OC43	|		|	genbank acronym	|
+31631	31631	|	Human coronavirus (strain OC43)	|		|	synonym	|
+31631	31631	|	Human coronavirus OC43	|		|	scientific name	|
+31631	31631	|	Human coronavirus strain OC43	|		|	synonym	|
+31732	31732	|	PWV	|		|	acronym	|
+31732	31732	|	Passion fruit woodiness potyvirus	|		|	synonym	|
+31732	31732	|	Passion fruit woodiness virus	|		|	scientific name	|
+31732	31732	|	Passionfruit woodiness virus	|		|	synonym	|
+33030	33030	|	"Micrococcus indolicus" Christiansen 1934	|		|	authority	|
+33030	33030	|	"Schleiferella indolica" Rajendram et al. 2001	|		|	authority	|
+33030	33030	|	ATCC 29427	|		|	type material	|
+33030	33030	|	CCUG 17639	|		|	type material	|
+33030	33030	|	CCUG 46591	|		|	type material	|
+33030	33030	|	DSM 20464	|		|	type material	|
+33030	33030	|	Micrococcus indolicus	|		|	synonym	|
+33030	33030	|	NCTC 11088	|		|	type material	|
+33030	33030	|	Peptococcus indolicus	|		|	synonym	|
+33030	33030	|	Peptococcus indolicus (Christiansen 1934) Sorensen 1975 (Approved Lists 1980)	|		|	authority	|
+33030	33030	|	Peptoniphilus indolicus	|		|	scientific name	|
+33030	33030	|	Peptoniphilus indolicus (Christiansen 1934) Ezaki et al. 2001	|		|	authority	|
+33030	33030	|	Peptostreptococcus indolicus	|		|	synonym	|
+33030	33030	|	Peptostreptococcus indolicus (Christiansen 1934) Ezaki et al. 1983	|		|	authority	|
+33030	33030	|	Schleiferella indolica	|		|	synonym	|
+33032	33032	|	ATCC 51172	|		|	type material	|
+33032	33032	|	Anaerococcus lactolyticus	|		|	scientific name	|
+33032	33032	|	Anaerococcus lactolyticus (Li et al. 1992) Ezaki et al. 2001	|		|	authority	|
+33032	33032	|	CCUG 31351	|		|	type material	|
+33032	33032	|	CIP 103725	|		|	type material	|
+33032	33032	|	DSM 7456	|		|	type material	|
+33032	33032	|	GIFU 8586	|		|	type material	|
+33032	33032	|	JCM 8140	|		|	type material	|
+33032	33032	|	Peptostreptococcus lactolyticus	|		|	synonym	|
+33032	33032	|	Peptostreptococcus lactolyticus Li et al. 1992	|		|	authority	|
+33033	33033	|	"Streptococcus anaerobius micros" Lewkowicz 1901	|		|	authority	|
+33033	33033	|	"Streptococcus micros" Prevot 1933	|		|	authority	|
+33033	33033	|	'Diplococcus glycinophilus'	|		|	synonym	|
+33033	33033	|	ATCC 33270	|		|	type material	|
+33033	33033	|	CCUG 17638	|		|	type material	|
+33033	33033	|	CCUG 17638 A	|		|	type material	|
+33033	33033	|	CCUG 46357	|		|	type material	|
+33033	33033	|	CIP 105294	|		|	type material	|
+33033	33033	|	DSM 20468	|		|	type material	|
+33033	33033	|	Diplococcus glycinophilus	|		|	synonym	|
+33033	33033	|	JCM 12970	|		|	type material	|
+33033	33033	|	KCTC 5196	|		|	type material	|
+33033	33033	|	Micromonas micros	|		|	misnomer	|
+33033	33033	|	Micromonas micros (Prevot 1933) Murdoch and Shah 2000	|		|	authority	|
+33033	33033	|	NCTC 11808	|		|	type material	|
+33033	33033	|	Parvimonas micra	|		|	scientific name	|
+33033	33033	|	Parvimonas micra (Prevot 1933) Tindall and Euzeby 2006	|		|	authority	|
+33033	33033	|	Peptococcus glycinophilus	|		|	synonym	|
+33033	33033	|	Peptostreptococcus micros	|		|	synonym	|
+33033	33033	|	Peptostreptococcus micros (Prevot 1933) Smith 1957 (Approved Lists 1980)	|		|	authority	|
+33033	33033	|	Streptococcus anaerobius micros	|		|	synonym	|
+33033	33033	|	Streptococcus micros	|		|	synonym	|
+33033	33033	|	strain 3119B	|		|	type material	|
+33036	33036	|	"Gaffkya anaerobius" (sic) (Choukevitch 1911) Prevot 1933	|		|	authority	|
+33036	33036	|	"Tetracoccus anaerobius" Choukevitch 1911	|		|	authority	|
+33036	33036	|	ATCC 35098	|		|	type material	|
+33036	33036	|	Anaerococcus tetradius	|		|	scientific name	|
+33036	33036	|	Anaerococcus tetradius (Ezaki et al. 1983) Ezaki et al. 2001	|		|	authority	|
+33036	33036	|	CCM 3634	|		|	type material	|
+33036	33036	|	CCUG 17637	|		|	type material	|
+33036	33036	|	CCUG 46590	|		|	type material	|
+33036	33036	|	CIP 103927	|		|	type material	|
+33036	33036	|	DSM 2951	|		|	type material	|
+33036	33036	|	GIFU 7672	|		|	type material	|
+33036	33036	|	Gaffkya anaerobius	|		|	synonym	|
+33036	33036	|	JCM 1964	|		|	type material	|
+33036	33036	|	LMG 14264	|		|	type material	|
+33036	33036	|	Peptostreptococcus tetradius	|		|	synonym	|
+33036	33036	|	Peptostreptococcus tetradius (ex Choukevitch 1911) Ezaki et al. 1983	|		|	authority	|
+33036	33036	|	Tetracoccus anaerobius	|		|	synonym	|
+33038	33038	|	ATCC 29149	|		|	type material	|
+33038	33038	|	Ruminococcus gnavus	|		|	equivalent name	|
+33038	33038	|	Ruminococcus gnavus Moore et al. 1976	|		|	authority	|
+33038	33038	|	Ruminococcus gravus	|		|	misspelling	|
+33038	33038	|	VPI C7-9	|		|	type material	|
+33038	33038	|	[Ruminococcus] gnavus	|		|	scientific name	|
+33043	33043	|	ATCC 27759	|		|	type material	|
+33043	33043	|	Coprococcus eutactus	|		|	scientific name	|
+33043	33043	|	Coprococcus eutactus Holdeman and Moore 1974	|		|	synonym	|
+37372	37372	|	ATCC 51630	|		|	type material	|
+37372	37372	|	CCUG 38995 B	|		|	type material	|
+37372	37372	|	CIP 104752	|		|	type material	|
+37372	37372	|	Flexispira rappini species 8	|		|	includes	|
+37372	37372	|	Flexispira taxon 9	|		|	includes	|
+37372	37372	|	Helicobacter bilis	|		|	scientific name	|
+37372	37372	|	Helicobacter bilis Fox et al. 1997	|		|	authority	|
+37372	37372	|	Helicobacter sp. 'Flexispira taxon 2'	|		|	includes	|
+37372	37372	|	Helicobacter sp. 'Flexispira taxon 3'	|		|	includes	|
+37372	37372	|	Helicobacter sp. 'Flexispira taxon 8'	|		|	includes	|
+37372	37372	|	Helicobacter sp. 'Flexispira taxon 9'	|		|	includes	|
+37372	37372	|	Helicobacter sp. ATCC 43879	|		|	includes	|
+37372	37372	|	Helicobacter sp. ATCC 49314	|		|	includes	|
+37372	37372	|	Helicobacter sp. ATCC 49317	|		|	includes	|
+37372	37372	|	Helicobacter sp. ATCC 49320	|		|	includes	|
+37372	37372	|	strain Hb1	|	strain Hb1 <Helicobacter bilis>	|	type material	|
+38303	38303	|	"Corynebacterium pseudogenitalium" Furness et al. 1979	|		|	synonym	|
+38303	38303	|	Corynebacterium pseudogenitalium	|		|	scientific name	|
+38304	38304	|	"Corynebacterium tuberculostearicum" Brown et al. 1984	|		|	synonym	|
+38304	38304	|	ATCC 35692	|		|	type material	|
+38304	38304	|	CCUG 45418	|		|	type material	|
+38304	38304	|	CIP 107291	|		|	type material	|
+38304	38304	|	Corynebacterium sp. CIP101775	|		|	includes	|
+38304	38304	|	Corynebacterium sp. CIP102076	|		|	includes	|
+38304	38304	|	Corynebacterium sp. CIP102124	|		|	includes	|
+38304	38304	|	Corynebacterium sp. CIP102211	|		|	includes	|
+38304	38304	|	Corynebacterium sp. CIP102346	|		|	includes	|
+38304	38304	|	Corynebacterium sp. CIP102590	|		|	includes	|
+38304	38304	|	Corynebacterium sp. CIP102622	|		|	includes	|
+38304	38304	|	Corynebacterium sp. CIP102645	|		|	includes	|
+38304	38304	|	Corynebacterium sp. CIP102857	|		|	includes	|
+38304	38304	|	Corynebacterium sp. CIP107067	|		|	includes	|
+38304	38304	|	Corynebacterium sp. CIP107291	|		|	includes	|
+38304	38304	|	Corynebacterium tuberculostearicum	|		|	scientific name	|
+38304	38304	|	Corynebacterium tuberculostearicum Feurer et al. 2004	|		|	synonym	|
+38304	38304	|	DSM 44922	|		|	type material	|
+38304	38304	|	JCM 13389	|		|	type material	|
+38304	38304	|	strain LDC-20	|		|	type material	|
+38304	38304	|	strain Medalle X	|		|	type material	|
+39488	39488	|	ATCC 27751	|		|	type material	|
+39488	39488	|	DSM 3353	|		|	type material	|
+39488	39488	|	Eubacterium halii	|		|	misspelling	|
+39488	39488	|	Eubacterium hallii	|		|	scientific name	|
+39488	39488	|	Eubacterium hallii Holdeman and Moore 1974	|		|	authority	|
+39488	39488	|	VPI B4-27	|		|	type material	|
+39488	39488	|	[Eubacterium] hallii	|		|	equivalent name	|
+39496	39496	|	"Bacillus ventriosus" Tissier 1908	|		|	authority	|
+39496	39496	|	"Bacteroides ventriosus" (Tissier 1908) Eggerth 1935	|		|	authority	|
+39496	39496	|	"Pseudobacterium ventriosum" (Tissier 1908) Krasil'nikov 1949	|		|	authority	|
+39496	39496	|	ATCC 27560	|		|	type material	|
+39496	39496	|	Bacillus ventriosus	|		|	synonym	|
+39496	39496	|	Bacteroides ventriosus	|		|	synonym	|
+39496	39496	|	DSM 3988	|		|	type material	|
+39496	39496	|	Eubacterium ventriosum	|		|	scientific name	|
+39496	39496	|	Eubacterium ventriosum (Tissier 1908) Prevot 1938	|		|	authority	|
+39496	39496	|	Pseudobacterium ventriosum	|		|	synonym	|
+39496	39496	|	[Eubacterium] ventriosum	|		|	equivalent name	|
+39778	39778	|	ATCC 17748	|		|	type material	|
+39778	39778	|	DSM 20735	|		|	type material	|
+39778	39778	|	NCTC 11831	|		|	type material	|
+39778	39778	|	Veillonella alcalescens subsp. dispar	|		|	synonym	|
+39778	39778	|	Veillonella dispar	|		|	scientific name	|
+39778	39778	|	Veillonella dispar (Rogosa 1965) Mays et al. 1982	|		|	synonym	|
+40091	40091	|	ATCC 51366	|		|	type material	|
+40091	40091	|	CCUG 32213	|		|	type material	|
+40091	40091	|	CIP 103932	|		|	type material	|
+40091	40091	|	DSM 10548	|		|	type material	|
+40091	40091	|	Helcococcus kunzii	|		|	scientific name	|
+40091	40091	|	Helcococcus kunzii Collins et al. 1993	|		|	authority	|
+40091	40091	|	Helococcus kunzii	|		|	misspelling	|
+40091	40091	|	IFO 15552	|		|	type material	|
+40091	40091	|	LMG 15123	|		|	type material	|
+40091	40091	|	NBRC 15552	|		|	type material	|
+40091	40091	|	NCFB 2900	|		|	type material	|
+40091	40091	|	NCIMB 702900	|		|	type material	|
+40091	40091	|	strain n. 22	|		|	type material	|
+40215	40215	|	ATCC 17908	|		|	type material	|
+40215	40215	|	Acinetobacter genomosp. 5	|		|	synonym	|
+40215	40215	|	Acinetobacter genomospecies 5	|		|	synonym	|
+40215	40215	|	Acinetobacter grimontii	|		|	genbank synonym	|
+40215	40215	|	Acinetobacter grimontii Carr et al. 2003	|		|	authority	|
+40215	40215	|	Acinetobacter junii	|		|	scientific name	|
+40215	40215	|	Acinetobacter junii Bouvet and Grimont 1986	|		|	authority	|
+40215	40215	|	CCUG 889	|		|	type material	|
+40215	40215	|	CIP 64.5	|		|	type material	|
+40215	40215	|	DSM 6964	|		|	type material	|
+40215	40215	|	LMG 998	|		|	type material	|
+40215	40215	|	NCTC 12153	|		|	type material	|
+40215	40215	|	strain Mannheim 2723/59	|		|	type material	|
+40216	40216	|	ATCC 43998	|		|	type material	|
+40216	40216	|	Acinetobacter genomosp. 12	|		|	synonym	|
+40216	40216	|	Acinetobacter genomospecies 12	|		|	synonym	|
+40216	40216	|	Acinetobacter radiiresistens	|		|	misspelling	|
+40216	40216	|	Acinetobacter radioresistens	|		|	scientific name	|
+40216	40216	|	Acinetobacter radioresistens Nishimura et al. 1988	|		|	authority	|
+40216	40216	|	CIP 103788	|		|	type material	|
+40216	40216	|	DSM 6976	|		|	type material	|
+40216	40216	|	IAM 13186	|		|	type material	|
+40216	40216	|	JCM 9326	|		|	type material	|
+40216	40216	|	LMG 10613	|		|	type material	|
+40216	40216	|	NBRC 102413	|		|	type material	|
+40216	40216	|	strain FO-1	|		|	type material	|
+40520	40520	|	ATCC 29174	|		|	type material	|
+40520	40520	|	DSM 25238	|		|	type material	|
+40520	40520	|	Eubacterium obeum	|		|	misspelling	|
+40520	40520	|	Ruminococcus obeum	|		|	equivalent name	|
+40520	40520	|	Ruminococcus obeum Moore et al. 1976	|		|	authority	|
+40520	40520	|	[Ruminococcus] obeum	|		|	scientific name	|
+41294	41294	|	'Bradyrhizobiaceae'	|		|	synonym	|
+41294	41294	|	BANA domain	|		|	synonym	|
+41294	41294	|	Bradyrhizobiaceae	|		|	scientific name	|
+41294	41294	|	Bradyrhizobium group	|		|	synonym	|
+41294	41294	|	Nitrobacteraceae	|		|	includes	|
+41294	41294	|	Nitrobacteraceae Buchanan 1917	|		|	includes	|
+41294	41294	|	Nitrobacteriaceae	|		|	misspelling	|
+41294	41294	|	alpha-2 proteobacteria	|	alpha-2 proteobacteria <2>	|	in-part	|
+42005	42005	|	HEV	|	HEV <#2>	|	acronym	|
+42005	42005	|	Hemagglutinating encephalomyelitis virus	|		|	synonym	|
+42005	42005	|	PHEV	|		|	acronym	|
+42005	42005	|	Porcine hemagglutinating encephalomyelitis coronavirus	|		|	synonym	|
+42005	42005	|	Porcine hemagglutinating encephalomyelitis virus	|		|	scientific name	|
+42005	42005	|	porcine hemagglutinating encephalomyelitis virus HEV	|		|	misspelling	|
+42475	42475	|	RRSV	|		|	acronym	|
+42475	42475	|	Rice ragged stunt virus	|		|	scientific name	|
+42475	42475	|	rice ragged stunt oryzavirus	|		|	synonym	|
+43675	43675	|	"Micrococcus mucilaginosus" Migula 1900	|		|	authority	|
+43675	43675	|	ATCC 25296	|		|	type material	|
+43675	43675	|	CCM 2417	|		|	type material	|
+43675	43675	|	CCUG 20962	|		|	type material	|
+43675	43675	|	CIP 71.14	|		|	type material	|
+43675	43675	|	DSM 20746	|		|	type material	|
+43675	43675	|	IFO 15673	|		|	type material	|
+43675	43675	|	JCM 10910	|		|	type material	|
+43675	43675	|	Micrococcus mucilaginosus	|		|	synonym	|
+43675	43675	|	NBRC 15673	|		|	type material	|
+43675	43675	|	NCTC 10663	|		|	type material	|
+43675	43675	|	Rothia mucilaginosa	|		|	scientific name	|
+43675	43675	|	Rothia mucilaginosa (Bergan and Kocur 1982) Collins et al. 2000	|		|	authority	|
+43675	43675	|	Stomatococcus mucilaginosus	|		|	synonym	|
+43675	43675	|	Stomatococcus mucilaginosus (ex Migula 1900) Bergan and Kocur 1982	|		|	authority	|
+43765	43765	|	'Corynebacterium asperum'	|		|	synonym	|
+43765	43765	|	ATCC 49368	|		|	type material	|
+43765	43765	|	CCUG 35685	|		|	type material	|
+43765	43765	|	CDC coryneform group F-2	|		|	includes	|
+43765	43765	|	CDC coryneform group I-2	|		|	includes	|
+43765	43765	|	CIP 103452	|		|	type material	|
+43765	43765	|	Corynebacterium amycolatum	|		|	scientific name	|
+43765	43765	|	Corynebacterium amycolatum Collins et al. 1988	|		|	synonym	|
+43765	43765	|	Corynebacterium asperum	|		|	synonym	|
+43765	43765	|	DSM 6922	|		|	type material	|
+43765	43765	|	IFO 15207	|		|	type material	|
+43765	43765	|	JCM 7447	|		|	type material	|
+43765	43765	|	NBRC 15207	|		|	type material	|
+43765	43765	|	NCFB 2768	|		|	type material	|
+43765	43765	|	NCIMB 13130	|		|	type material	|
+43765	43765	|	strain S160	|		|	type material	|
+43768	43768	|	"Actinomyces matruchoti" (Mendel 1919) Nannizzi 1934	|		|	synonym	|
+43768	43768	|	"Cladothrix matruchoti" (sic) Mendel 1919	|		|	synonym	|
+43768	43768	|	"Oospora matruchoti" (Mendel 1919) Sartory 1930	|		|	synonym	|
+43768	43768	|	ATCC 14266	|		|	type material	|
+43768	43768	|	Actinomyces matruchoti	|		|	synonym	|
+43768	43768	|	Bacterionema matruchotii	|		|	synonym	|
+43768	43768	|	Bacterionema matruchotii (Mendel 1919) Gilmour et al. 1961 (Approved Lists 1980)	|		|	synonym	|
+43768	43768	|	CCUG 27545	|		|	type material	|
+43768	43768	|	CCUG 46620	|		|	type material	|
+43768	43768	|	CIP 81.82	|		|	type material	|
+43768	43768	|	Cladothrix matruchoti	|		|	synonym	|
+43768	43768	|	Corynebacterium matruchotii	|		|	scientific name	|
+43768	43768	|	Corynebacterium matruchotii (Mendel 1919) Collins 1983	|		|	synonym	|
+43768	43768	|	DSM 20635	|		|	type material	|
+43768	43768	|	IFO 15360	|		|	type material	|
+43768	43768	|	JCM 9386	|		|	type material	|
+43768	43768	|	NBRC 15360	|		|	type material	|
+43768	43768	|	NCTC 10254	|		|	type material	|
+43768	43768	|	Oospora matruchoti	|		|	synonym	|
+43770	43770	|	"Bacterium striatum" Chester 1901	|		|	synonym	|
+43770	43770	|	ATCC 6940	|		|	type material	|
+43770	43770	|	Bacterium striatum	|		|	synonym	|
+43770	43770	|	CCUG 27949	|		|	type material	|
+43770	43770	|	CIP 81.15	|		|	type material	|
+43770	43770	|	Corynebacterium striatum	|		|	scientific name	|
+43770	43770	|	Corynebacterium striatum (Chester 1901) Eberson 1918	|		|	synonym	|
+43770	43770	|	DSM 20668	|		|	type material	|
+43770	43770	|	IFO 15291	|		|	type material	|
+43770	43770	|	JCM 9390	|		|	type material	|
+43770	43770	|	NBRC 15291	|		|	type material	|
+43770	43770	|	NCTC 764	|		|	type material	|
+44088	44088	|	Avipoxvirus clade B1	|		|	synonym	|
+44088	44088	|	Canarypox virus	|		|	scientific name	|
+45851	45851	|	ATCC 29175	|		|	type material	|
+45851	45851	|	Butyrivibrio crossotus	|		|	scientific name	|
+45851	45851	|	Butyrivibrio crossotus Moore et al. 1976	|		|	synonym	|
+45851	45851	|	DSM 2876	|		|	type material	|
+45851	45851	|	VPI T9-40A	|		|	type material	|
+46015	46015	|	AcMNPV	|		|	acronym	|
+46015	46015	|	Autographa californica multicapsid nuclear polyhedrosis virus	|		|	synonym	|
+46015	46015	|	Autographa californica multicapsid nuclear polyhedrosis virus AcMNPV	|		|	synonym	|
+46015	46015	|	Autographa californica nuclear polyhedrosis virus	|		|	synonym	|
+46015	46015	|	Autographa californica nuclear polyhedrosis virus AcMNPV	|		|	synonym	|
+46015	46015	|	Autographa californica nuclear polyhedrosis virus AcNPV	|		|	synonym	|
+46015	46015	|	Autographa californica nuclear polyhedrosis virus, AcMNPV	|		|	synonym	|
+46015	46015	|	Autographa californica nucleopolyhedrovirus	|		|	scientific name	|
+46503	46503	|	ATCC 43184	|		|	type material	|
+46503	46503	|	Bacteroides merdae	|		|	synonym	|
+46503	46503	|	Bacteroides merdae Johnson et al. 1986	|		|	authority	|
+46503	46503	|	CCUG 38734	|		|	type material	|
+46503	46503	|	CIP 104202	|		|	type material	|
+46503	46503	|	JCM 9497	|		|	type material	|
+46503	46503	|	NCTC 13052	|		|	type material	|
+46503	46503	|	Parabacteroides merdae	|		|	scientific name	|
+46503	46503	|	Parabacteroides merdae (Johnson et al. 1986) Sakamoto and Benno 2006	|		|	authority	|
+46503	46503	|	VPI T4-1	|		|	type material	|
+47229	47229	|	CCUG 45783	|		|	type material	|
+47229	47229	|	CIP 105350	|		|	type material	|
+47229	47229	|	Janthinobacterium sp. R2-11	|		|	includes	|
+47229	47229	|	Massilia timonae	|		|	scientific name	|
+47229	47229	|	Massilia timonae La Scola et al. 2000 emend. Lindquist et al. 2003	|		|	authority	|
+47229	47229	|	Timone isolate	|		|	synonym	|
+47229	47229	|	strain UR/MT95	|		|	type material	|
+47671	47671	|	ATCC 51599	|		|	type material	|
+47671	47671	|	CCUG 34794	|		|	type material	|
+47671	47671	|	CIP 106317	|		|	type material	|
+47671	47671	|	DSM 11362	|		|	type material	|
+47671	47671	|	Lautropia mirabilis	|		|	scientific name	|
+47671	47671	|	Lautropia mirabilis Gerner-Smidt et al. 1995	|		|	authority	|
+47671	47671	|	NCTC 12852	|		|	type material	|
+47671	47671	|	strain AB2188	|		|	type material	|
+47678	47678	|	ATCC 43185	|		|	type material	|
+47678	47678	|	Bacteroides caccae	|		|	scientific name	|
+47678	47678	|	Bacteroides caccae Johnson et al. 1986	|		|	authority	|
+47678	47678	|	CCUG 38735	|		|	type material	|
+47678	47678	|	CIP 104201	|		|	type material	|
+47678	47678	|	DSM 19024	|		|	type material	|
+47678	47678	|	JCM 9498	|		|	type material	|
+47678	47678	|	NCTC 13051	|		|	type material	|
+47678	47678	|	VPI 3452A	|		|	type material	|
+49338	49338	|	DSM 10664	|		|	type material	|
+49338	49338	|	Desulfitobacterium frappieri	|		|	synonym	|
+49338	49338	|	Desulfitobacterium frappieri Bouchard et al. 1996	|		|	authority	|
+49338	49338	|	Desulfitobacterium hafniense	|		|	scientific name	|
+49338	49338	|	Desulfitobacterium hafniense Christiansen and Ahring 1996 emend. Niggemyer et al. 2001	|		|	authority	|
+49338	49338	|	anaerobic eubacterium PCP-1	|		|	includes	|
+49338	49338	|	strain DCB-2	|		|	type material	|
+52226	52226	|	ATCC 27723	|		|	type material	|
+52226	52226	|	Bacteroides multiacidus Mitsuoka et al. 1974 (Approved Lists 1980)	|		|	synonym	|
+52226	52226	|	CCUG 21055	|		|	type material	|
+52226	52226	|	CIP 107116	|		|	type material	|
+52226	52226	|	DSM 20544	|		|	type material	|
+52226	52226	|	JCM 2054	|		|	type material	|
+52226	52226	|	Mitsuokella multacida	|		|	scientific name	|
+52226	52226	|	Mitsuokella multacida corrig. (Mitsuoka et al. 1974) Shah and Collins 1983	|		|	synonym	|
+52226	52226	|	Mitsuokella multiacidus	|		|	synonym	|
+52226	52226	|	NCTC 10934	|		|	type material	|
+53443	53443	|	Blautia hydrogenotrophica	|		|	scientific name	|
+53443	53443	|	Blautia hydrogenotrophica (Bernalier et al. 1997) Liu et al. 2008	|		|	authority	|
+53443	53443	|	DSM 10507	|		|	type material	|
+53443	53443	|	JCM 14656	|		|	type material	|
+53443	53443	|	Ruminococcus hydrogenotrophicus	|		|	synonym	|
+53443	53443	|	Ruminococcus hydrogenotrophicus Bernalier et al. 1997	|		|	authority	|
+53443	53443	|	strain S5a33	|		|	type material	|
+55565	55565	|	Actinomyces graevenitzii	|		|	scientific name	|
+55565	55565	|	Actinomyces graevenitzii Pascual Ramos et al. 1997	|		|	authority	|
+55565	55565	|	CCUG 27294	|		|	type material	|
+55565	55565	|	CIP 105737	|		|	type material	|
+55565	55565	|	DSM 15540	|		|	type material	|
+56774	56774	|	Eubacterium infirmum	|		|	equivalent name	|
+56774	56774	|	Eubacterium infirmum Cheeseman et al. 1996	|		|	authority	|
+56774	56774	|	Eubacterium sp. (strain W 1417)	|		|	includes	|
+56774	56774	|	NCTC 12940	|		|	type material	|
+56774	56774	|	[Eubacterium] infirmum	|		|	scientific name	|
+56946	56946	|	ATCC 49717	|		|	type material	|
+56946	56946	|	Afipia broomae	|		|	misspelling	|
+56946	56946	|	Afipia broomeae	|		|	scientific name	|
+56946	56946	|	Afipia broomeae Brenner et al. 1992	|		|	authority	|
+56946	56946	|	CCUG 30458	|		|	type material	|
+56946	56946	|	CIP 103517	|		|	type material	|
+56946	56946	|	DSM 7327	|		|	type material	|
+56946	56946	|	NCTC 12720	|		|	type material	|
+56946	56946	|	strain B-91-007286	|		|	type material	|
+60133	60133	|	AHN 10371	|		|	type material	|
+60133	60133	|	ATCC 700821	|		|	type material	|
+60133	60133	|	CCUG 39484	|		|	type material	|
+60133	60133	|	CIP 105551	|		|	type material	|
+60133	60133	|	DSM 18710	|		|	type material	|
+60133	60133	|	JCM 11140	|		|	type material	|
+60133	60133	|	NCTC 13042	|		|	type material	|
+60133	60133	|	Prevotella intermedia / Prevotella nigrescens-like organism (PINLO)	|		|	synonym	|
+60133	60133	|	Prevotella pallens	|		|	scientific name	|
+60133	60133	|	Prevotella pallens Kononen et al. 1998	|		|	authority	|
+61171	61171	|	ATCC 51649	|		|	type material	|
+61171	61171	|	DSM 12042	|		|	type material	|
+61171	61171	|	Eubacterium-like group S14	|		|	synonym	|
+61171	61171	|	Holdemania filiformis	|		|	scientific name	|
+61171	61171	|	Holdemania filiformis Willems et al. 1997	|		|	synonym	|
+61171	61171	|	strain J1-31B-1	|		|	type material	|
+68892	68892	|	ATCC 700779	|		|	type material	|
+68892	68892	|	CCUG 39817	|		|	type material	|
+68892	68892	|	CIP 105949	|		|	type material	|
+68892	68892	|	DSM 12492	|		|	type material	|
+68892	68892	|	GTC 849	|		|	type material	|
+68892	68892	|	JCM 10157	|		|	type material	|
+68892	68892	|	LMG 18720	|		|	type material	|
+68892	68892	|	Streptococcus infantis	|		|	scientific name	|
+68892	68892	|	Streptococcus infantis Kawamura et al. 1998	|		|	authority	|
+68892	68892	|	strain O-122	|		|	type material	|
+69218	69218	|	ATCC 33241	|		|	type material	|
+69218	69218	|	CCUG 25231	|		|	type material	|
+69218	69218	|	CDC Enteric Group 19	|		|	synonym	|
+69218	69218	|	CFBP 4167	|		|	type material	|
+69218	69218	|	CIP 103787	|		|	type material	|
+69218	69218	|	DSM 17580	|		|	type material	|
+69218	69218	|	Enterobacter cancerogenus	|		|	scientific name	|
+69218	69218	|	Enterobacter cancerogenus (Urosevic 1966) Dickey and Zumoff 1988	|		|	authority	|
+69218	69218	|	Enterobacter taylorae	|		|	synonym	|
+69218	69218	|	Enterobacter taylorae Farmer et al. 1985	|		|	authority	|
+69218	69218	|	Erwinia cancerogena	|		|	synonym	|
+69218	69218	|	Erwinia cancerogena Urosevic 1966 (Approved Lists 1980)	|		|	authority	|
+69218	69218	|	ICMP 5706	|		|	type material	|
+69218	69218	|	LMG 2693	|		|	type material	|
+69218	69218	|	NCPPB 2176	|		|	type material	|
+69823	69823	|	"Spirillum sputigenum" Flugge 1886	|		|	authority	|
+69823	69823	|	"Vibrio sputigenus" Prevot 1940	|		|	authority	|
+69823	69823	|	ATCC 35185	|	ATCC 35185 <neotype strain>	|	type material	|
+69823	69823	|	CCUG 44933	|	CCUG 44933 <neotype strain>	|	type material	|
+69823	69823	|	DSM 20758	|	DSM 20758 <neotype strain>	|	type material	|
+69823	69823	|	Selenomonas sputigena	|		|	scientific name	|
+69823	69823	|	Selenomonas sputigena (Flugge 1886) Boskamp 1922 (Approved Lists 1980) emend. Judicial Commission 1992	|		|	authority	|
+69823	69823	|	Spirillum sputigenum	|		|	synonym	|
+69823	69823	|	VPI D 19B-28	|	VPI D 19B-28 <neotype strain>	|	type material	|
+69823	69823	|	Vibrio sputigenus	|		|	synonym	|
+72556	72556	|	ATCC 43552	|		|	type material	|
+72556	72556	|	Achromobacter piechaudii	|		|	scientific name	|
+72556	72556	|	Achromobacter piechaudii (Kiredjian et al. 1986) Yabuuchi et al. 1998	|		|	authority	|
+72556	72556	|	Alcaligenes piechaudii	|		|	synonym	|
+72556	72556	|	Alcaligenes piechaudii Kiredjian et al. 1986	|		|	authority	|
+72556	72556	|	CCUG 724	|		|	type material	|
+72556	72556	|	CIP 60.75	|		|	type material	|
+72556	72556	|	DSM 10342	|		|	type material	|
+72556	72556	|	IAM 12591	|		|	type material	|
+72556	72556	|	JCM 20668	|		|	type material	|
+72556	72556	|	LMG 1873	|		|	type material	|
+72556	72556	|	NBRC 102461	|		|	type material	|
+72556	72556	|	NCTC 11970	|		|	type material	|
+72556	72556	|	strain Hugh 366-5	|		|	type material	|
+74426	74426	|	"Bacteroides aerofaciens" Eggerth 1935	|		|	synonym	|
+74426	74426	|	"Pseudobacterium aerofaciens" (Eggerth 1935) Krasil'nikov 1949	|		|	synonym	|
+74426	74426	|	ATCC 25986	|		|	type material	|
+74426	74426	|	Bacteroides aerofaciens	|		|	synonym	|
+74426	74426	|	CCUG 28087	|		|	type material	|
+74426	74426	|	Collinsella aerofaciens	|		|	scientific name	|
+74426	74426	|	Collinsella aerofaciens (Eggerth 1935) Kageyama et al. 1999	|		|	synonym	|
+74426	74426	|	DSM 3979	|		|	type material	|
+74426	74426	|	Eubacterium aerofaciens	|		|	synonym	|
+74426	74426	|	Eubacterium aerofaciens (Eggerth 1935) Prevot 1938 (Approved Lists 1980)	|		|	synonym	|
+74426	74426	|	JCM 10188	|		|	type material	|
+74426	74426	|	NCTC 11838	|		|	type material	|
+74426	74426	|	Pseudobacterium aerofaciens	|		|	synonym	|
+74426	74426	|	VPI 1003	|		|	type material	|
+76831	76831	|	Myroides	|		|	scientific name	|
+76831	76831	|	Myroides Vancanneyt et al. 1996 emend. Yan et al. 2012	|		|	authority	|
+76832	76832	|	CCUG 39352	|		|	type material	|
+76832	76832	|	CIP 105170	|		|	type material	|
+76832	76832	|	JCM 7460	|		|	type material	|
+76832	76832	|	LMG 4029	|		|	type material	|
+76832	76832	|	Myroides odoratimimus	|		|	scientific name	|
+76832	76832	|	Myroides odoratimimus Vancanneyt et al. 1996	|		|	authority	|
+76832	76832	|	NCTC 11180	|		|	type material	|
+78342	78342	|	AS 1.2274	|		|	type material	|
+78342	78342	|	ATCC 49850	|		|	type material	|
+78342	78342	|	Bifidobacterium gallicum	|		|	scientific name	|
+78342	78342	|	Bifidobacterium gallicum Lauer 1990	|		|	synonym	|
+78342	78342	|	CCUG 34979	|		|	type material	|
+78342	78342	|	CIP 103417	|		|	type material	|
+78342	78342	|	DSM 20093	|		|	type material	|
+78342	78342	|	JCM 8224	|		|	type material	|
+78342	78342	|	LMG 11596	|		|	type material	|
+80366	80366	|	NOT Rachiplusia nu MNPV	|		|	equivalent name	|
+80366	80366	|	Rachiplusia ou MNPV	|		|	scientific name	|
+80366	80366	|	Rachiplusia ou multiple nucleopolyhedrovirus	|		|	synonym	|
+80366	80366	|	Rachiplusia ou nuclear polyhedrosis virus	|		|	synonym	|
+82135	82135	|	ATCC BAA-55	|		|	type material	|
+82135	82135	|	Atopobium vaginae	|		|	scientific name	|
+82135	82135	|	Atopobium vaginae Rodriguez Jovita et al. 1999	|		|	authority	|
+82135	82135	|	CCUG 38953	|		|	type material	|
+82135	82135	|	CIP 106431	|		|	type material	|
+82135	82135	|	DSM 15829	|		|	type material	|
+84026	84026	|	ATCC 43829	|		|	type material	|
+84026	84026	|	Clostridium methylpentosum	|		|	scientific name	|
+84026	84026	|	Clostridium methylpentosum Himelbloom and Canale-Parola 1989	|		|	authority	|
+84026	84026	|	DSM 5476	|		|	type material	|
+84026	84026	|	[Clostridium] methylpentosum	|		|	equivalent name	|
+84026	84026	|	strain R2	|	strain R2 <Clostridium methylpentosum>	|	type material	|
+85698	85698	|	"Achromobacter xylosoxidans" Yabuuchi and Ohyama 1971	|		|	authority	|
+85698	85698	|	ATCC 27061	|		|	type material	|
+85698	85698	|	Achromobacter xylosoxidans	|		|	scientific name	|
+85698	85698	|	Achromobacter xylosoxidans (ex Yabuuchi and Ohyama 1971) Yabuuchi and Yano 1981	|		|	authority	|
+85698	85698	|	Achromobacter xylosoxidans KF701	|		|	includes	|
+85698	85698	|	Achromobacter xylosoxidans subsp. xylosoxidans	|		|	includes	|
+85698	85698	|	Achromobacter xylosoxidans subsp. xylosoxidans (ex Yabuuchi & Ohyama 1971) Yabuuchi & Yano 1981	|		|	authority	|
+85698	85698	|	Achromobacter xylosoxydans	|		|	equivalent name	|
+85698	85698	|	Alcaligenes denitrificans subsp. xylosoxydans	|		|	includes	|
+85698	85698	|	Alcaligenes denitrificans subsp. xylosoxydans (Yabuuchi and Yano 1981) Kersters and De Ley 1984	|		|	authority	|
+85698	85698	|	Alcaligenes denitrificans xylosoxydans	|		|	includes	|
+85698	85698	|	Alcaligenes xylosoxidans	|		|	synonym	|
+85698	85698	|	Alcaligenes xylosoxidans (Yabuuchi and Yano 1981) Kiredjian et al. 1986	|		|	authority	|
+85698	85698	|	Alcaligenes xylosoxidans subsp. xylosoxidans	|		|	includes	|
+85698	85698	|	Alcaligenes xylosoxidans subsp. xylosoxidans (Yabuuchi and Yano 1981) Kiredjian et al. 1986	|		|	authority	|
+85698	85698	|	Alcaligenes xylosoxydans	|		|	equivalent name	|
+85698	85698	|	Alcaligenes xylosoxydans xylosoxydans	|		|	includes	|
+85698	85698	|	CCUG 12689	|		|	type material	|
+85698	85698	|	CIP 71.32	|		|	type material	|
+85698	85698	|	DSM 10346	|		|	type material	|
+85698	85698	|	DSM 2402	|		|	type material	|
+85698	85698	|	Flavobacterium sp. 650	|		|	includes	|
+85698	85698	|	IFO 15126	|		|	type material	|
+85698	85698	|	JCM 9659	|		|	type material	|
+85698	85698	|	LMG 1863	|		|	type material	|
+85698	85698	|	NBRC 15126	|		|	type material	|
+85698	85698	|	NCTC 10807	|		|	type material	|
+85698	85698	|	NRRL B-4082	|		|	type material	|
+85698	85698	|	strain Hugh 2838	|		|	type material	|
+85698	85698	|	strain KM 543	|		|	type material	|
+85698	85698	|	strain Yabuuchi KM 543	|		|	type material	|
+89153	89153	|	CIP 106689	|		|	type material	|
+89153	89153	|	Clostridium hylemonae	|		|	scientific name	|
+89153	89153	|	Clostridium hylemonae Kitahara et al. 2000	|		|	authority	|
+89153	89153	|	DSM 15053	|		|	type material	|
+89153	89153	|	JCM 10539	|		|	type material	|
+89153	89153	|	[Clostridium] hylemonae	|		|	equivalent name	|
+89153	89153	|	strain TN-271	|		|	type material	|
+91753	91753	|	CABYV	|		|	acronym	|
+91753	91753	|	Cucurbit aphid borne yellowing virus	|		|	misnomer	|
+91753	91753	|	Cucurbit aphid-borne yellows virus	|		|	scientific name	|
+101850	101850	|	Thysanoplusia orichalcea MNPV	|		|	synonym	|
+101850	101850	|	Thysanoplusia orichalcea NPV	|		|	synonym	|
+101850	101850	|	Thysanoplusia orichalcea multicapsid nucleopolyhedrovirus	|		|	synonym	|
+101850	101850	|	Thysanoplusia orichalcea multiple nucleopolyhedrovirus	|		|	synonym	|
+101850	101850	|	Thysanoplusia orichalcea nucleopolyhedrovirus	|		|	scientific name	|
+102148	102148	|	Bulleidia moorei	|		|	misspelling	|
+102148	102148	|	CIP 106864	|		|	type material	|
+102148	102148	|	JCM 10645	|		|	type material	|
+102148	102148	|	Solobacterium moorei	|		|	scientific name	|
+102148	102148	|	Solobacterium moorei Kageyama and Benno 2000	|		|	authority	|
+102148	102148	|	strain RCA59-74	|		|	type material	|
+102148	102148	|	unclassified Clostridium group RCA59	|		|	synonym	|
+102862	102862	|	ATCC 33519	|		|	type material	|
+102862	102862	|	CCUG 15722	|		|	type material	|
+102862	102862	|	CDC 1808-73	|		|	type material	|
+102862	102862	|	CIP 103030	|		|	type material	|
+102862	102862	|	DSM 4544	|		|	type material	|
+102862	102862	|	JCM 3948	|		|	type material	|
+102862	102862	|	NCTC 12737	|		|	type material	|
+102862	102862	|	Proteus genomosp. 1	|		|	synonym	|
+102862	102862	|	Proteus genomospecies 1	|		|	synonym	|
+102862	102862	|	Proteus penneri	|		|	scientific name	|
+102862	102862	|	Proteus penneri Hickman et al. 1983	|		|	synonym	|
+102862	102862	|	Proteus vulgaris biogroup 1	|		|	synonym	|
+102862	102862	|	Proteus vulgaris indole negative	|		|	synonym	|
+103618	103618	|	Actinomyces coleocanis	|		|	scientific name	|
+103618	103618	|	Actinomyces coleocanis Hoyles et al. 2002	|		|	authority	|
+103618	103618	|	Actinomyces sp. CCUG 41708	|		|	includes	|
+103618	103618	|	CCUG 41708	|		|	type material	|
+103618	103618	|	CIP 106873	|		|	type material	|
+103618	103618	|	DSM 15436	|		|	type material	|
+103618	103618	|	strain M343/98/2	|		|	type material	|
+103621	103621	|	Actinomyces sp. CCUG 28744	|		|	includes	|
+103621	103621	|	Actinomyces sp. CCUG 42029	|		|	equivalent name	|
+103621	103621	|	Actinomyces urogenitalis	|		|	scientific name	|
+103621	103621	|	Actinomyces urogenitalis Nikolaitchouk et al. 2000	|		|	synonym	|
+103621	103621	|	CCUG 38702	|		|	type material	|
+103621	103621	|	CIP 106421	|		|	type material	|
+103621	103621	|	DSM 15434	|		|	type material	|
+106588	106588	|	"Bacillus capillosus" Tissier 1908	|		|	authority	|
+106588	106588	|	"Pseudobacterium capillosum" (Tissier 1908) Krasil'nikov 1949	|		|	authority	|
+106588	106588	|	"Ristella capillosa" (Tissier 1908) Prevot 1938	|		|	authority	|
+106588	106588	|	ATCC 29799	|		|	type material	|
+106588	106588	|	Bacillus capillosus	|		|	synonym	|
+106588	106588	|	Bacteroides capillosus	|		|	synonym	|
+106588	106588	|	Bacteroides capillosus (Tissier 1908) Kelly 1957	|		|	authority	|
+106588	106588	|	CCUG 15402 A	|		|	type material	|
+106588	106588	|	DSM 23940	|		|	type material	|
+106588	106588	|	Pseudobacterium capillosum	|		|	synonym	|
+106588	106588	|	Pseudoflavonifractor capillosus	|		|	scientific name	|
+106588	106588	|	Pseudoflavonifractor capillosus (Tissier 1908) Carlier et al. 2010	|		|	authority	|
+106588	106588	|	Ristella capillosa	|		|	synonym	|
+106588	106588	|	VPI R2-29-1	|		|	type material	|
+112023	112023	|	Streptococcus phage 7201	|		|	scientific name	|
+112023	112023	|	Streptococcus thermophilus bacteriophage 7201	|		|	synonym	|
+113287	113287	|	"Ramibacterium alactolyticum" Prevot and Taffanel 1942	|		|	authority	|
+113287	113287	|	"Ramibacterium dentium" Vinzent and Reynes 1947	|		|	authority	|
+113287	113287	|	"Ramibacterium pleuriticum" Prevot et al. 1947	|		|	authority	|
+113287	113287	|	ATCC 23263	|		|	type material	|
+113287	113287	|	CIP 106365	|		|	type material	|
+113287	113287	|	DSM 3980	|		|	type material	|
+113287	113287	|	Eubacterium alactolyticum	|		|	synonym	|
+113287	113287	|	Eubacterium alactolyticum (Prevot and Taffanel 1942) Holdeman and Moore 1970 (Approved Lists 1980)	|		|	authority	|
+113287	113287	|	JCM 6480	|		|	type material	|
+113287	113287	|	Pseudoramibacter alactolyticus	|		|	scientific name	|
+113287	113287	|	Pseudoramibacter alactolyticus (Prevot and Taffanel 1942) Willems and Collins 1996	|		|	authority	|
+113287	113287	|	Ramibacterium alactolyticum	|		|	synonym	|
+113287	113287	|	Ramibacterium dentium	|		|	synonym	|
+113287	113287	|	Ramibacterium pleuriticum	|		|	synonym	|
+118748	118748	|	ATCC BAA-170	|		|	type material	|
+118748	118748	|	Bulleidia extructa	|		|	scientific name	|
+118748	118748	|	Bulleidia extructa Downes et al. 2000	|		|	synonym	|
+118748	118748	|	DSM 13220	|		|	type material	|
+118748	118748	|	strain W 1219	|		|	type material	|
+133448	133448	|	ATCC 29935	|		|	type material	|
+133448	133448	|	CCUG 30791	|		|	type material	|
+133448	133448	|	CDC 460-61	|		|	type material	|
+133448	133448	|	CIP 105016	|		|	type material	|
+133448	133448	|	Citrobacter genomospecies 5	|		|	synonym	|
+133448	133448	|	Citrobacter youngae	|		|	scientific name	|
+133448	133448	|	Citrobacter youngae Brenner et al. 1993	|		|	authority	|
+133448	133448	|	DSM 17578	|		|	type material	|
+133448	133448	|	GTC 1314	|		|	type material	|
+135083	135083	|	ATCC 43541	|		|	type material	|
+135083	135083	|	DSM 19578	|		|	type material	|
+135083	135083	|	JCM 8546	|		|	type material	|
+135083	135083	|	Selenomonas noxia	|		|	scientific name	|
+135083	135083	|	Selenomonas noxia Moore et al. 1987	|		|	authority	|
+135083	135083	|	VPI D9B-5	|		|	type material	|
+136187	136187	|	Equine coronavirus	|		|	scientific name	|
+137732	137732	|	ATCC 700633	|		|	type material	|
+137732	137732	|	Abiotrophia elegans	|		|	synonym	|
+137732	137732	|	Abiotrophia elegans Roggenkamp et al. 1999	|		|	authority	|
+137732	137732	|	Abiotrophia sp. B1333	|		|	includes	|
+137732	137732	|	CCUG 38949	|		|	type material	|
+137732	137732	|	CIP 105513	|		|	type material	|
+137732	137732	|	DSM 11693	|		|	type material	|
+137732	137732	|	Granulicatella elegans	|		|	scientific name	|
+137732	137732	|	Granulicatella elegans (Roggenkamp et al. 1999) Collins and Lawson 2000	|		|	authority	|
+137732	137732	|	strain B1333	|		|	type material	|
+138119	138119	|	Desulfitobacterium hafniense Y51	|		|	scientific name	|
+138119	138119	|	Desulfitobacterium hafniense str. Y51	|		|	equivalent name	|
+138119	138119	|	Desulfitobacterium hafniense strain Y51	|		|	equivalent name	|
+138119	138119	|	Desulfitobacterium sp. Y51	|		|	equivalent name	|
+147207	147207	|	CCUG 45296	|		|	type material	|
+147207	147207	|	CIP 106914	|		|	type material	|
+147207	147207	|	Collinsella group 2	|		|	synonym	|
+147207	147207	|	Collinsella intestinalis	|		|	scientific name	|
+147207	147207	|	Collinsella intestinalis Kageyama and Benno 2000	|		|	synonym	|
+147207	147207	|	Collinsella sp. RCA56-68	|		|	includes	|
+147207	147207	|	Collinsella sp. RCA56-80	|		|	includes	|
+147207	147207	|	DSM 13280	|		|	type material	|
+147207	147207	|	JCM 10643	|		|	type material	|
+147207	147207	|	strain RCA56-68	|		|	type material	|
+154046	154046	|	CCUG 43506	|		|	type material	|
+154046	154046	|	Clostridium hathewayi	|		|	scientific name	|
+154046	154046	|	Clostridium hathewayi Steer et al. 2002	|		|	authority	|
+154046	154046	|	Clostridium sp. DSM 13479	|		|	includes	|
+154046	154046	|	DSM 13479	|		|	type material	|
+154046	154046	|	[Clostridium] hathewayi	|		|	equivalent name	|
+154046	154046	|	strain 1313	|		|	type material	|
+158877	158877	|	ATCC 49455	|		|	type material	|
+158877	158877	|	BCRC 12225	|		|	type material	|
+158877	158877	|	CCRC 12225	|		|	type material	|
+158877	158877	|	CIP 105435	|		|	type material	|
+158877	158877	|	Enteric Group 45	|		|	synonym	|
+158877	158877	|	JCM 2403	|		|	type material	|
+158877	158877	|	Koserella trabulsii	|		|	synonym	|
+158877	158877	|	Koserella trabulsii Hickman-Brenner et al. 1985	|		|	authority	|
+158877	158877	|	NBRC 102600	|		|	type material	|
+158877	158877	|	NCTC 11966	|		|	type material	|
+158877	158877	|	NIH 725-83	|		|	type material	|
+158877	158877	|	Yokenella regensburgei	|		|	scientific name	|
+158877	158877	|	Yokenella regensburgei Kosako et al. 1985	|		|	authority	|
+161889	161889	|	ATCC 700352	|		|	type material	|
+161889	161889	|	CCUG 37336	|		|	type material	|
+161889	161889	|	CIP 105127	|		|	type material	|
+161889	161889	|	Corynebacterium lipophiloflavum	|		|	scientific name	|
+161889	161889	|	Corynebacterium lipophiloflavum Funke et al. 1997	|		|	synonym	|
+161889	161889	|	Corynebacterium sp. 1944	|		|	includes	|
+161889	161889	|	DMMZ 1944	|		|	type material	|
+161889	161889	|	DSM 44291	|		|	type material	|
+161889	161889	|	JCM 10383	|		|	type material	|
+163665	163665	|	CCUG 43457	|		|	type material	|
+163665	163665	|	CDC F9489	|		|	type material	|
+163665	163665	|	CIP 107079	|		|	type material	|
+163665	163665	|	Dysgonomonas mossii	|		|	scientific name	|
+163665	163665	|	Dysgonomonas mossii Lawson et al. 2002	|		|	authority	|
+163665	163665	|	Dysgonomonas shahii	|		|	misspelling	|
+163665	163665	|	JCM 16699	|		|	type material	|
+168384	168384	|	Bryantella formatexigens	|		|	synonym	|
+168384	168384	|	Bryantella formatexigens Wolin et al. 2004	|		|	authority	|
+168384	168384	|	CCUG 46960	|		|	type material	|
+168384	168384	|	DSM 14469	|		|	type material	|
+168384	168384	|	Marvinbryantia formatexigens	|		|	scientific name	|
+168384	168384	|	Marvinbryantia formatexigens (Wolin et al. 2004) Wolin et al. 2008	|		|	authority	|
+168384	168384	|	strain I-52	|		|	type material	|
+169435	169435	|	Anaerotruncus colihominis	|		|	scientific name	|
+169435	169435	|	Anaerotruncus colihominis Lawson et al. 2004	|		|	synonym	|
+169435	169435	|	CCUG 45055	|		|	type material	|
+169435	169435	|	CIP 107754	|		|	type material	|
+169435	169435	|	DSM 17241	|		|	type material	|
+169435	169435	|	JCM 15631	|		|	type material	|
+169435	169435	|	Ruminococcus sp. 14565	|		|	includes	|
+169435	169435	|	WAL 14565	|		|	type material	|
+171549	171549	|	"Bacteroidales" Krieg 2011	|		|	authority	|
+171549	171549	|	Bacteroidales	|		|	scientific name	|
+177972	177972	|	CCUG 45864	|		|	type material	|
+177972	177972	|	DSM 14600	|		|	type material	|
+177972	177972	|	Shuttleworthia satelles	|		|	scientific name	|
+177972	177972	|	Shuttleworthia satelles Downes et al. 2002	|		|	authority	|
+177972	177972	|	VPI D143K-13	|		|	type material	|
+181082	181082	|	EhV-86	|		|	acronym	|
+181082	181082	|	Emiliana huxleyi virus 86	|		|	misspelling	|
+181082	181082	|	Emiliania huxleyi virus 86	|		|	scientific name	|
+186802	186802	|	Clostridiales	|		|	scientific name	|
+186802	186802	|	Clostridiales Prevot 1953	|		|	authority	|
+186803	186803	|	Lachnospiraceae	|		|	scientific name	|
+186803	186803	|	Lachnospiraceae Rainey 2010	|		|	authority	|
+189723	189723	|	CCUG 56105	|		|	type material	|
+189723	189723	|	DSM 21469	|		|	type material	|
+189723	189723	|	JCM 16134	|		|	type material	|
+189723	189723	|	Prevotella genomosp. E3	|		|	synonym	|
+189723	189723	|	Prevotella genomospecies E3	|		|	synonym	|
+189723	189723	|	Prevotella micans	|		|	scientific name	|
+189723	189723	|	Prevotella micans Downes et al. 2009	|		|	authority	|
+189723	189723	|	Prevotella sp. E7.56	|		|	includes	|
+189723	189723	|	Prevotella sp. E7_56	|		|	misspelling	|
+189723	189723	|	strain E7.56	|		|	type material	|
+195099	195099	|	Campylobacter jejuni RM1221	|		|	scientific name	|
+195099	195099	|	Campylobacter jejuni str. RM1221	|		|	equivalent name	|
+195099	195099	|	Campylobacter jejuni strain RM1221	|		|	equivalent name	|
+199310	199310	|	Escherichia coli CFT073	|		|	scientific name	|
+199310	199310	|	Escherichia coli str. CFT073	|		|	equivalent name	|
+199310	199310	|	Escherichia coli strain CFT073	|		|	equivalent name	|
+204525	204525	|	ATCC 49957	|		|	type material	|
+204525	204525	|	CIP 104027	|		|	type material	|
+204525	204525	|	Roseomonas cervicalis	|		|	scientific name	|
+204525	204525	|	Roseomonas cervicalis Rihs et al. 1998	|		|	synonym	|
+204525	204525	|	strain E7107	|		|	type material	|
+207244	207244	|	Anaerostipes	|		|	scientific name	|
+207244	207244	|	Anaerostipes Schwiertz et al. 2002 emend. Eeckhaut et al. 2010	|		|	authority	|
+211110	211110	|	Streptococcus agalactiae NEM316	|		|	scientific name	|
+211110	211110	|	Streptococcus agalactiae str. NEM316	|		|	synonym	|
+214853	214853	|	ATCC BAA-858	|		|	type material	|
+214853	214853	|	Anaerofustis stercorihominis	|		|	scientific name	|
+214853	214853	|	Anaerofustis stercorihominis Finegold et al 2004	|		|	synonym	|
+214853	214853	|	CCUG 47767	|		|	type material	|
+214853	214853	|	DSM 17244	|		|	type material	|
+214853	214853	|	Pseudoramibacter sp. wal 14563	|		|	includes	|
+214853	214853	|	WAL 14563	|		|	type material	|
+218538	218538	|	CCUG 47026	|		|	type material	|
+218538	218538	|	DSM 15470	|		|	type material	|
+218538	218538	|	Dialister invisus	|		|	scientific name	|
+218538	218538	|	Dialister invisus Downes et al. 2003	|		|	authority	|
+218538	218538	|	JCM 17566	|		|	type material	|
+218538	218538	|	strain E7.25	|		|	type material	|
+219314	219314	|	Aeromicrobium marinum	|		|	scientific name	|
+219314	219314	|	Aeromicrobium marinum Bruns et al. 2003	|		|	authority	|
+219314	219314	|	DSM 15272	|		|	type material	|
+219314	219314	|	JCM 13314	|		|	type material	|
+219314	219314	|	LMG 21768	|		|	type material	|
+225324	225324	|	ATCC 27094	|		|	type material	|
+225324	225324	|	Enhydrobacter aerosaccus	|		|	scientific name	|
+225324	225324	|	Enhydrobacter aerosaccus Staley et al. 1987	|		|	synonym	|
+225324	225324	|	LMG 21877	|		|	type material	|
+228604	228604	|	DSM 15606	|		|	type material	|
+228604	228604	|	JCM 12084	|		|	type material	|
+228604	228604	|	Prevotella salivae	|		|	scientific name	|
+228604	228604	|	Prevotella salivae Sakamoto et al. 2004	|		|	authority	|
+228604	228604	|	strain EPSA11	|		|	type material	|
+243275	243275	|	Treponema denticola ATCC 35405	|		|	scientific name	|
+243275	243275	|	Treponema denticola str. ATCC 35405	|		|	equivalent name	|
+245018	245018	|	Clostridiales bacterium SSC/2	|		|	synonym	|
+245018	245018	|	Clostridiales sp. SSC/2	|		|	misspelling	|
+245018	245018	|	butyrate-producing bacterium SSC/2	|		|	scientific name	|
+262177	262177	|	OpMNPV	|		|	acronym	|
+262177	262177	|	Orgya pseudotsugata MNPV	|		|	misspelling	|
+262177	262177	|	Orgya pseudotsugata nucleopolyhedrovirus	|		|	synonym	|
+262177	262177	|	Orgyia pseudotsugata MNPV	|		|	synonym	|
+262177	262177	|	Orgyia pseudotsugata multicapsid nuclear polyhedrosis virus	|		|	synonym	|
+262177	262177	|	Orgyia pseudotsugata multicapsid nuclear polyhedrosis virus OpMNPV	|		|	synonym	|
+262177	262177	|	Orgyia pseudotsugata multicapsid nucleopolyhedrovirus	|		|	synonym	|
+262177	262177	|	Orgyia pseudotsugata multicapsid polyhedrosis virus	|		|	synonym	|
+262177	262177	|	Orgyia pseudotsugata multinucleocapsid nuclear polyhedrosis virus	|		|	synonym	|
+262177	262177	|	Orgyia pseudotsugata multiple nucleopolyhedrovirus	|		|	scientific name	|
+282402	282402	|	DSM 16608	|		|	type material	|
+282402	282402	|	JCM 12541	|		|	type material	|
+282402	282402	|	Prevotella multiformis	|		|	scientific name	|
+282402	282402	|	Prevotella multiformis Sakamoto et al. 2005	|		|	authority	|
+282402	282402	|	strain PPPA21	|		|	type material	|
+290028	290028	|	CoV-HKU1	|		|	synonym	|
+290028	290028	|	HCoV-HKU1	|		|	genbank acronym	|
+290028	290028	|	Human CoV/HKU1	|		|	synonym	|
+290028	290028	|	Human coronavirus HKU1	|		|	scientific name	|
+291644	291644	|	ATCC BAA-997	|		|	type material	|
+291644	291644	|	Bacteroides salyersae	|		|	synonym	|
+291644	291644	|	Bacteroides salyersiae	|		|	scientific name	|
+291644	291644	|	Bacteroides salyersiae corrig. Song et al. 2005	|		|	authority	|
+291644	291644	|	Bacteroides sp. WAL 10018	|		|	includes	|
+291644	291644	|	CCUG 48945	|		|	type material	|
+291644	291644	|	DSM 18765	|		|	type material	|
+291644	291644	|	JCM 12988	|		|	type material	|
+291644	291644	|	WAL 10018	|		|	type material	|
+291645	291645	|	ATCC BAA-998	|		|	type material	|
+291645	291645	|	Bacteroides nordii	|		|	scientific name	|
+291645	291645	|	Bacteroides nordii Song et al. 2005	|		|	authority	|
+291645	291645	|	Bacteroides sp. WAL 11050	|		|	includes	|
+291645	291645	|	CCUG 48943	|		|	type material	|
+291645	291645	|	JCM 12987	|		|	type material	|
+291645	291645	|	WAL 11050	|		|	type material	|
+292800	292800	|	"Bacille de Plaut, Kritchevsky and Seguin 1921"	|		|	authority	|
+292800	292800	|	"Bacillus plauti" (sic) Seguin 1928	|		|	authority	|
+292800	292800	|	"Fusocillus plauti" (sic) (Seguin 1928) Prevot 1938	|		|	authority	|
+292800	292800	|	"Zuberella plauti" (sic) (Seguin 1928) Sebald 1962	|		|	authority	|
+292800	292800	|	ATCC 29863	|		|	type material	|
+292800	292800	|	ATCC 49531 [[Clostridium orbiscindens]]	|		|	type material	|
+292800	292800	|	Bacillus plauti	|		|	synonym	|
+292800	292800	|	CCUG 28093	|		|	type material	|
+292800	292800	|	Clostridium orbiscindens	|		|	synonym	|
+292800	292800	|	Clostridium orbiscindens Winter et al. 1991	|		|	authority	|
+292800	292800	|	DSM 4000	|		|	type material	|
+292800	292800	|	DSM 6740 [[Clostridium orbiscindens]]	|		|	type material	|
+292800	292800	|	DSM 6749 [[Clostridium orbiscindens]]	|		|	type material	|
+292800	292800	|	Eubacterium plautii	|		|	synonym	|
+292800	292800	|	Eubacterium plautii (Seguin 1928) Hofstad and Aasjord 1982	|		|	authority	|
+292800	292800	|	Flavonifractor plautii	|		|	scientific name	|
+292800	292800	|	Flavonifractor plautii (Seguin 1928) Carlier et al. 2010	|		|	authority	|
+292800	292800	|	Fusobacterium plautii	|		|	synonym	|
+292800	292800	|	Fusobacterium plautii corrig. Seguin 1928 (Approved Lists 1980)	|		|	authority	|
+292800	292800	|	Fusocillus plauti	|		|	synonym	|
+292800	292800	|	Zuberella plauti	|		|	synonym	|
+293178	293178	|	Enterobacteria phage JS98	|		|	scientific name	|
+295405	295405	|	Bacteroides fragilis YCH46	|		|	scientific name	|
+295405	295405	|	Bacteroides fragilis str. YCH46	|		|	equivalent name	|
+295405	295405	|	Bacteroides fragilis strain YCH46	|		|	equivalent name	|
+310297	310297	|	Bacteroides plebeius	|		|	scientific name	|
+310297	310297	|	Bacteroides plebeius Kitahara et al. 2005	|		|	authority	|
+310297	310297	|	DSM 17135	|		|	type material	|
+310297	310297	|	JCM 12973	|		|	type material	|
+310297	310297	|	strain M12	|	strain M12 <Bacteroides plebeius>	|	type material	|
+312008	312008	|	Citrus sudden death marafivirus	|		|	synonym	|
+312008	312008	|	Citrus sudden death-associated virus	|		|	scientific name	|
+328812	328812	|	ATCC BAA-1180	|		|	type material	|
+328812	328812	|	Bacteroides goldsteinii	|		|	synonym	|
+328812	328812	|	Bacteroides goldsteinii Song et al. 2006	|		|	authority	|
+328812	328812	|	Bacteroides sp. WAL 12034	|		|	includes	|
+328812	328812	|	CCUG 48944	|		|	type material	|
+328812	328812	|	DSM 19448	|		|	type material	|
+328812	328812	|	JCM 13446	|		|	type material	|
+328812	328812	|	Parabacteroides goldsteinii	|		|	scientific name	|
+328812	328812	|	Parabacteroides goldsteinii (Song et al. 2006) Sakamoto and Benno 2006	|		|	authority	|
+328812	328812	|	WAL 12034	|		|	type material	|
+331278	331278	|	Bacteriophage phiR1-37	|		|	synonym	|
+331278	331278	|	Yersinia phage phiR1-37	|		|	scientific name	|
+331278	331278	|	Yersiniophage phiR1-37	|		|	synonym	|
+334390	334390	|	Lactobacillus fermentum IFO 3956	|		|	scientific name	|
+334390	334390	|	Lactobacillus fermentum IFO3956	|		|	misspelling	|
+334390	334390	|	Lactobacillus fermentum NBRC 3956	|		|	synonym	|
+334390	334390	|	Lactobacillus fermentum str. IFO 3956	|		|	equivalent name	|
+334390	334390	|	Lactobacillus fermentum strain IFO 3956	|		|	equivalent name	|
+338188	338188	|	Bacteroides finegoldii	|		|	scientific name	|
+338188	338188	|	Bacteroides finegoldii Bakir et al. 2006	|		|	authority	|
+338188	338188	|	DSM 17565	|		|	type material	|
+338188	338188	|	JCM 13345	|		|	type material	|
+338188	338188	|	strain 199	|		|	type material	|
+354276	354276	|	Enterobacter cloacae complex	|		|	scientific name	|
+357276	357276	|	Bacteroides dorei	|		|	scientific name	|
+357276	357276	|	Bacteroides dorei Bakir et al. 2006	|		|	authority	|
+357276	357276	|	Bacteroides sp. 175T	|		|	includes	|
+357276	357276	|	Bacteroides sp. 219	|		|	includes	|
+357276	357276	|	DSM 17855	|		|	type material	|
+357276	357276	|	JCM 13471	|		|	type material	|
+357276	357276	|	strain 175	|		|	type material	|
+362663	362663	|	Escherichia coli 536	|		|	scientific name	|
+362663	362663	|	Escherichia coli str. 536	|		|	equivalent name	|
+362663	362663	|	Escherichia coli strain 536	|		|	equivalent name	|
+363265	363265	|	DSM 18206	|		|	type material	|
+363265	363265	|	JCM 13469	|		|	type material	|
+363265	363265	|	Prevotella sp. CB35	|		|	includes	|
+363265	363265	|	Prevotella stercorea	|		|	scientific name	|
+363265	363265	|	Prevotella stercorea Hayashi et al. 2007	|		|	authority	|
+363265	363265	|	strain CB35	|		|	type material	|
+365048	365048	|	Bacteriophage GBSV1	|		|	synonym	|
+365048	365048	|	Geobacillus phage GBSV1	|		|	scientific name	|
+371601	371601	|	Bacteroides xylanisolvens	|		|	scientific name	|
+371601	371601	|	Bacteroides xylanisolvens Chassard et al. 2008	|		|	authority	|
+371601	371601	|	CCUG 53782	|		|	type material	|
+371601	371601	|	DSM 18836	|		|	type material	|
+371601	371601	|	JCM 15633	|		|	type material	|
+371601	371601	|	strain XB1A	|		|	type material	|
+375288	375288	|	Parabacteroides	|		|	scientific name	|
+375288	375288	|	Parabacteroides Sakamoto and Benno 2006	|		|	authority	|
+379891	379891	|	Plutella xylostella multiple nucleopolyhedrovirus	|		|	scientific name	|
+387661	387661	|	DSM 18315	|		|	type material	|
+387661	387661	|	JCM 13406	|		|	type material	|
+387661	387661	|	Parabacteroides johnsonii	|		|	scientific name	|
+387661	387661	|	Parabacteroides johnsonii Sakamoto et al. 2007	|		|	authority	|
+387661	387661	|	strain M-165	|		|	type material	|
+400667	400667	|	Acinetobacter baumannii ATCC 17978	|		|	scientific name	|
+400667	400667	|	Acinetobacter baumannii str. ATCC 17978	|		|	equivalent name	|
+400667	400667	|	Acinetobacter baumannii strain ATCC 17978	|		|	equivalent name	|
+409438	409438	|	Escherichia coli SE11	|		|	scientific name	|
+409438	409438	|	Escherichia coli str. SE11	|		|	equivalent name	|
+409438	409438	|	Escherichia coli strain SE11	|		|	equivalent name	|
+410072	410072	|	ATCC 27758	|		|	type material	|
+410072	410072	|	Coprococcus comes	|		|	scientific name	|
+410072	410072	|	Coprococcus comes Holdeman and Moore 1974	|		|	authority	|
+410072	410072	|	VPI C1-38	|		|	type material	|
+420247	420247	|	Methanobrevibacter smithii ATCC 35061	|		|	scientific name	|
+420247	420247	|	Methanobrevibacter smithii DSM 861	|		|	synonym	|
+420247	420247	|	Methanobrevibacter smithii PS	|		|	synonym	|
+420247	420247	|	Methanobrevibacter smithii str. ATCC 35061	|		|	equivalent name	|
+420247	420247	|	Methanobrevibacter smithii strain ATCC 35061	|		|	equivalent name	|
+435590	435590	|	Bacteroides vulgatus ATCC 8482	|		|	scientific name	|
+435590	435590	|	Bacteroides vulgatus str. ATCC 8482	|		|	equivalent name	|
+435590	435590	|	Bacteroides vulgatus strain ATCC 8482	|		|	equivalent name	|
+437897	437897	|	DSM 19343	|		|	type material	|
+437897	437897	|	JCM 14723	|		|	type material	|
+437897	437897	|	Megamonas funiformis	|		|	scientific name	|
+437897	437897	|	Megamonas funiformis Sakon et al. 2008	|		|	authority	|
+437897	437897	|	YIT 11815	|		|	type material	|
+437898	437898	|	DSM 19354	|		|	type material	|
+437898	437898	|	JCM 14724	|		|	type material	|
+437898	437898	|	Sutterella parvirubra	|		|	scientific name	|
+437898	437898	|	Sutterella parvirubra Sakon et al. 2008	|		|	authority	|
+437898	437898	|	YIT 11816	|		|	type material	|
+479436	479436	|	Veillonella parvula DSM 2008	|		|	scientific name	|
+479436	479436	|	Veillonella parvula str. DSM 2008	|		|	equivalent name	|
+479436	479436	|	Veillonella parvula strain DSM 2008	|		|	equivalent name	|
+487173	487173	|	DSM 21274	|		|	type material	|
+487173	487173	|	Dialister succinatiphilus	|		|	scientific name	|
+487173	487173	|	Dialister succinatiphilus Morotomi et al. 2008	|		|	authority	|
+487173	487173	|	JCM 15077	|		|	type material	|
+487173	487173	|	YIT 11850	|		|	type material	|
+487174	487174	|	Barnesiella intestinihominis	|		|	scientific name	|
+487174	487174	|	Barnesiella intestinihominis Morotomi et al. 2008	|		|	authority	|
+487174	487174	|	Barnesiella sp. YIT 11860	|		|	includes	|
+487174	487174	|	DSM 21032	|		|	type material	|
+487174	487174	|	JCM 15079	|		|	type material	|
+487174	487174	|	YIT 11860	|		|	type material	|
+487175	487175	|	DSM 21040	|		|	type material	|
+487175	487175	|	JCM 15078	|		|	type material	|
+487175	487175	|	Parasutterella excrementihominis	|		|	scientific name	|
+487175	487175	|	Parasutterella excrementihominis Nagai et al. 2009	|		|	authority	|
+487175	487175	|	strain YIT 11859	|		|	type material	|
+502102	502102	|	Rat coronavirus Parker	|		|	scientific name	|
+502102	502102	|	Rat coronavirus strain Parker	|		|	synonym	|
+502105	502105	|	Bovine respiratory coronavirus bovine/US/OH-440-TC/1996	|		|	scientific name	|
+502108	502108	|	Bovine respiratory coronavirus AH187	|		|	scientific name	|
+525146	525146	|	Desulfovibrio desulfuricans subsp. desulfuricans ATCC 27774	|		|	equivalent name	|
+525146	525146	|	Desulfovibrio desulfuricans subsp. desulfuricans str. ATCC 27774	|		|	scientific name	|
+525146	525146	|	Desulfovibrio desulfuricans subsp. desulfuricans strain ATCC 27774	|		|	equivalent name	|
+548476	548476	|	Corynebacterium aurimucosum ATCC 700975	|		|	scientific name	|
+548476	548476	|	Corynebacterium aurimucosum CCUG 48176	|		|	synonym	|
+548476	548476	|	Corynebacterium aurimucosum CIP 107436	|		|	synonym	|
+548476	548476	|	Corynebacterium aurimucosum CN-1	|		|	synonym	|
+548476	548476	|	Corynebacterium aurimucosum DSM 44827	|		|	synonym	|
+548476	548476	|	Corynebacterium aurimucosum str. ATCC 700975	|		|	equivalent name	|
+548476	548476	|	Corynebacterium aurimucosum strain ATCC 700975	|		|	equivalent name	|
+548476	548476	|	Corynebacterium nigricans CN-1	|		|	synonym	|
+548479	548479	|	Falcivibrio vaginalis ATCC 43063	|		|	synonym	|
+548479	548479	|	Mobiluncus curtisii ATCC 43063	|		|	scientific name	|
+548479	548479	|	Mobiluncus curtisii str. ATCC 43063	|		|	equivalent name	|
+548479	548479	|	Mobiluncus curtisii strain ATCC 43063	|		|	equivalent name	|
+553199	553199	|	Propionibacterium acnes SK137	|		|	scientific name	|
+553199	553199	|	Propionibacterium acnes str. SK137	|		|	equivalent name	|
+553199	553199	|	Propionibacterium acnes strain SK137	|		|	equivalent name	|
+573174	573174	|	Vibrio phage henriette 12B8	|		|	scientific name	|
+573174	573174	|	Vibriophage henriette 12B8	|		|	synonym	|
+576790	576790	|	Enterobacteria phage JS10	|		|	scientific name	|
+607711	607711	|	CIP 109934	|		|	type material	|
+607711	607711	|	DSM 22247	|		|	type material	|
+607711	607711	|	Neisseria sp. WC 05-2507	|		|	includes	|
+607711	607711	|	Neisseria wadsworthii	|		|	scientific name	|
+607711	607711	|	Neisseria wadsworthii Wolfgang et al. 2011	|		|	authority	|
+607711	607711	|	WC 05-9715	|		|	type material	|
+607711	607711	|	strain 9715	|		|	type material	|
+607712	607712	|	CIP 109933	|		|	type material	|
+607712	607712	|	DSM 22246	|		|	type material	|
+607712	607712	|	Neisseria shayeganii	|		|	scientific name	|
+607712	607712	|	Neisseria shayeganii Wolfgang et al. 2011	|		|	authority	|
+607712	607712	|	Neisseria sp. WC 04-12337	|		|	includes	|
+607712	607712	|	WC 08-871	|		|	type material	|
+607712	607712	|	strain 871	|		|	type material	|
+626930	626930	|	Bacteroides fluxus	|		|	scientific name	|
+626930	626930	|	Bacteroides fluxus Watanabe et al. 2010	|		|	authority	|
+626930	626930	|	DSM 22534	|		|	type material	|
+626930	626930	|	JCM 16101	|		|	type material	|
+626930	626930	|	YIT 12057	|		|	type material	|
+626932	626932	|	Alistipes indistinctus	|		|	scientific name	|
+626932	626932	|	Alistipes indistinctus Nagai et al. 2010	|		|	authority	|
+626932	626932	|	DSM 22520	|		|	type material	|
+626932	626932	|	JCM 16068	|		|	type material	|
+626932	626932	|	YIT 12060	|		|	type material	|
+626933	626933	|	DSM 22474	|		|	type material	|
+626933	626933	|	JCM 16069	|		|	type material	|
+626933	626933	|	Odoribacter laneus	|		|	scientific name	|
+626933	626933	|	Odoribacter laneus Nagai et al. 2010	|		|	authority	|
+626933	626933	|	YIT 12061	|		|	type material	|
+626940	626940	|	"Phascolarctobacterium succinatutens" Watanabe et al. 2012	|		|	authority	|
+626940	626940	|	DSM 22533	|		|	type material	|
+626940	626940	|	JCM 16074	|		|	type material	|
+626940	626940	|	Phascolarctobacterium sp. YIT 12068	|		|	includes	|
+626940	626940	|	Phascolarctobacterium succinatutens	|		|	scientific name	|
+626940	626940	|	YIT 12067	|		|	type material	|
+626962	626962	|	Olive latent virus 3	|		|	scientific name	|
+627439	627439	|	Human enteric coronavirus strain 4408	|		|	scientific name	|
+633135	633135	|	Streptococcus phage Abc2	|		|	scientific name	|
+633135	633135	|	Streptococcus thermophilus phage Abc2	|		|	synonym	|
+634176	634176	|	Aggregatibacter aphrophilus NJ8700	|		|	scientific name	|
+634176	634176	|	Aggregatibacter aphrophilus str. NJ8700	|		|	equivalent name	|
+634176	634176	|	Aggregatibacter aphrophilus strain NJ8700	|		|	equivalent name	|
+646413	646413	|	Streptococcus phage 5093	|		|	scientific name	|
+646413	646413	|	Streptococcus thermophilus phage 5093	|		|	synonym	|
+663954	663954	|	Streptococcus dysgalactiae subsp. equisimilis ATCC 12394	|		|	scientific name	|
+663954	663954	|	Streptococcus dysgalactiae subsp. equisimilis str. ATCC 12394	|		|	equivalent name	|
+663954	663954	|	Streptococcus dysgalactiae subsp. equisimilis strain ATCC 12394	|		|	equivalent name	|
+694569	694569	|	Aggregatibacter actinomycetemcomitans D7S-1	|		|	scientific name	|
+694569	694569	|	Aggregatibacter actinomycetemcomitans str. D7S-1	|		|	equivalent name	|
+694569	694569	|	Aggregatibacter actinomycetemcomitans strain D7S-1	|		|	equivalent name	|
+697227	697227	|	Enterobacteria phage IME08	|		|	scientific name	|
+751585	751585	|	Coprococcus sp. ART55/1	|		|	scientific name	|
+754037	754037	|	Cyanophage S-CAM1	|		|	synonym	|
+754037	754037	|	Synechococcus phage S-CAM1	|		|	scientific name	|
+754064	754064	|	Ostreococcus lucimarinus virus OlV5	|		|	scientific name	|
+759851	759851	|	'Sporosarcina newyorkensis'	|		|	synonym	|
+759851	759851	|	CCUG 59649	|		|	type material	|
+759851	759851	|	DSM 23544	|		|	type material	|
+759851	759851	|	LMG 26022	|		|	type material	|
+759851	759851	|	Sporosarcina newyorkensis	|		|	scientific name	|
+759851	759851	|	Sporosarcina sp. 1655	|		|	includes	|
+759851	759851	|	Sporosarcina sp. 3418	|		|	includes	|
+759851	759851	|	Sporosarcina sp. 4331	|		|	includes	|
+759851	759851	|	Sporosarcina sp. 4469	|		|	includes	|
+759851	759851	|	Sporosarcina sp. 4974	|		|	includes	|
+759851	759851	|	Sporosarcina sp. 4984	|		|	includes	|
+759851	759851	|	Sporosarcina sp. 5353	|		|	includes	|
+759851	759851	|	Sporosarcina sp. 57	|		|	includes	|
+759851	759851	|	Sporosarcina sp. 5868	|		|	includes	|
+759851	759851	|	Sporosarcina sp. 6062	|		|	includes	|
+759851	759851	|	Sporosarcina sp. R-31323	|		|	includes	|
+759851	759851	|	strain 6062	|		|	type material	|
+760732	760732	|	Acinetobacter phage Acj61	|		|	scientific name	|
+796942	796942	|	'Stomatobaculum longum'	|		|	synonym	|
+796942	796942	|	Lachnospiraceae bacterium ACC2	|		|	includes	|
+796942	796942	|	Stomatobaculum longum	|		|	scientific name	|
+908937	908937	|	Prevotella dentalis ATCC 49559	|		|	synonym	|
+908937	908937	|	Prevotella dentalis DSM 3688	|		|	scientific name	|
+908937	908937	|	Prevotella dentalis JCM 13448	|		|	synonym	|
+908937	908937	|	Prevotella dentalis str. DSM 3688	|		|	equivalent name	|
+908937	908937	|	Prevotella dentalis strain DSM 3688	|		|	equivalent name	|
+927666	927666	|	Streptococcus oralis Uo5	|		|	scientific name	|
+927666	927666	|	Streptococcus oralis str. Uo5	|		|	equivalent name	|
+927666	927666	|	Streptococcus oralis strain Uo5	|		|	equivalent name	|
+932662	932662	|	Mud crab dicistrovirus	|		|	scientific name	|
+1116482	1116482	|	Pectobacterium phage phiTE	|		|	scientific name	|
+1116482	1116482	|	bacteriophage phiTE	|		|	synonym	|
+1160968	1160968	|	Rabbit coronavirus HKU14	|		|	scientific name	|
+1161927	1161927	|	Pseudomonas phage Lu11	|		|	scientific name	|
+1172562	1172562	|	Helicobacter cinaedi PAGU611	|		|	scientific name	|
+1172562	1172562	|	Helicobacter cinaedi str. PAGU611	|		|	equivalent name	|
+1172562	1172562	|	Helicobacter cinaedi strain PAGU611	|		|	equivalent name	|
+1235559	1235559	|	Providencia phage Redjac	|		|	scientific name	|
diff --git a/inst/extdata/dat1/read_lengths.tab b/inst/extdata/dat1/read_lengths.tab
new file mode 100644
index 0000000..70b6448
--- /dev/null
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diff --git a/inst/extdata/dat1/read_weights.tab b/inst/extdata/dat1/read_weights.tab
new file mode 100644
index 0000000..7c3caab
--- /dev/null
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diff --git a/inst/extdata/dat1/remove.sh b/inst/extdata/dat1/remove.sh
new file mode 100644
index 0000000..ffc35e7
--- /dev/null
+++ b/inst/extdata/dat1/remove.sh
@@ -0,0 +1,8 @@
+#for k in `cat removeID.tab`; do #
+#
+#   sed  "/${k}/d" blastOut.tab > blastOut_nomouse.tab #
+#
+#done
+
+grep -vFf  removeID.tab blastOut.tab > blastOut_nomouse.tab 
+
diff --git a/inst/extdata/dat1/removeID.tab b/inst/extdata/dat1/removeID.tab
new file mode 100644
index 0000000..bb1cbb0
--- /dev/null
+++ b/inst/extdata/dat1/removeID.tab
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diff --git a/inst/extdata/dat1/step2.RData b/inst/extdata/dat1/step2.RData
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diff --git a/inst/extdata/dat1/step3.RData b/inst/extdata/dat1/step3.RData
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diff --git a/inst/extdata/dat1/step4.RData b/inst/extdata/dat1/step4.RData
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index 0000000..e8477d9
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diff --git a/inst/extdata/gi_taxid_prot_example.dmp b/inst/extdata/gi_taxid_prot_example.dmp
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diff --git a/inst/extdata/names_example.dmp b/inst/extdata/names_example.dmp
new file mode 100644
index 0000000..25fd8eb
--- /dev/null
+++ b/inst/extdata/names_example.dmp
@@ -0,0 +1,2065 @@
+2	|	Bacteria	|	Bacteria <prokaryote>	|	scientific name	|
+2	|	Monera	|	Monera <Bacteria>	|	in-part	|
+2	|	Procaryotae	|	Procaryotae <Bacteria>	|	in-part	|
+2	|	Prokaryota	|	Prokaryota <Bacteria>	|	in-part	|
+2	|	Prokaryotae	|	Prokaryotae <Bacteria>	|	in-part	|
+2	|	bacteria	|	bacteria <blast2>	|	blast name	|
+2	|	eubacteria	|		|	genbank common name	|
+2	|	not Bacteria Haeckel 1894	|		|	synonym	|
+2	|	prokaryote	|	prokaryote <Bacteria>	|	in-part	|
+2	|	prokaryotes	|	prokaryotes <Bacteria>	|	in-part	|
+72	|	"Caryophanon muelleri" (Schmid 1922) Peshkoff 1948	|		|	authority	|
+72	|	ATCC 29453	|		|	type material	|
+72	|	CCUG 30554	|		|	type material	|
+72	|	CIP 103436	|		|	type material	|
+72	|	Caryophanon muelleri	|		|	synonym	|
+72	|	DSM 2579	|		|	type material	|
+72	|	LMG 7828	|		|	type material	|
+72	|	Scheibenbakterien	|		|	common name	|
+72	|	Scheibenbakterien Muller 1911	|		|	common name	|
+72	|	Simonsiella muelleri	|		|	scientific name	|
+72	|	Simonsiella muelleri Schmid 1922	|		|	authority	|
+158	|	"Spirillum dentium" (Miller 1889) Sternberg 1892	|		|	authority	|
+158	|	"Spirochaeta ambigua" Seguin and Vinzent 1936	|		|	authority	|
+158	|	"Spirochaeta comandonii" Seguin and Vinzent 1936	|		|	authority	|
+158	|	"Spirochaeta dentium" (Miller 1889) Migula 1895	|		|	authority	|
+158	|	"Spirochaeta microdentium" (Noguchi 1912) Heim 1922	|		|	authority	|
+158	|	"Spirochaeta orthodonta" Hoffmann 1920	|		|	authority	|
+158	|	"Spirochaete denticola" Flugge 1886	|		|	authority	|
+158	|	"Spirochaete dentium" Miller 1889	|		|	authority	|
+158	|	"Spironema dentium" (Miller 1889) Gross 1912	|		|	authority	|
+158	|	"Treponema ambiguum" (Seguin and Vinzent 1936) Prevot 1940	|		|	authority	|
+158	|	"Treponema comandonii" (Seguin and Vinzent 1936) Prevot 1940	|		|	authority	|
+158	|	"Treponema dentium" (Miller 1889) Dobell 1912	|		|	authority	|
+158	|	"Treponema dentium-stenogyratum" Pettit 1928	|		|	authority	|
+158	|	"Treponema microdentium" Noguchi 1912	|		|	authority	|
+158	|	"Treponema orthodontum" (Hoffmann 1920) Noguchi 1928	|		|	authority	|
+158	|	ATCC 35405	|		|	type material	|
+158	|	CIP 103919	|		|	type material	|
+158	|	DSM 14222	|		|	type material	|
+158	|	JCM 8153	|		|	type material	|
+158	|	Spirillum dentium	|		|	synonym	|
+158	|	Spirochaeta ambigua	|		|	synonym	|
+158	|	Spirochaeta comandonii	|		|	synonym	|
+158	|	Spirochaeta dentium	|		|	synonym	|
+158	|	Spirochaeta microdentium	|		|	synonym	|
+158	|	Spirochaeta orthodonta	|		|	synonym	|
+158	|	Spirochaete denticola	|		|	synonym	|
+158	|	Spirochaete dentium	|		|	synonym	|
+158	|	Spironema dentium	|		|	synonym	|
+158	|	Treponema ambiguum	|		|	synonym	|
+158	|	Treponema comandonii	|		|	synonym	|
+158	|	Treponema denticola	|		|	scientific name	|
+158	|	Treponema denticola (ex Brumpt 1925) Chan et al. 1993	|		|	authority	|
+158	|	Treponema denticola (ex Flugge 1886) Chan et al. 1993	|		|	authority	|
+158	|	Treponema dentium	|		|	synonym	|
+158	|	Treponema dentium-stenogyratum	|		|	synonym	|
+158	|	Treponema microdentium	|		|	synonym	|
+158	|	Treponema orthodontum	|		|	synonym	|
+195	|	"Vibrio coli" Doyle 1948	|		|	authority	|
+195	|	ATCC 33559	|		|	type material	|
+195	|	CCUG 11283	|		|	type material	|
+195	|	CCUG 14540	|		|	type material	|
+195	|	CIP 70.80	|		|	type material	|
+195	|	Campylobacter coli	|		|	scientific name	|
+195	|	Campylobacter coli (Doyle 1948) Veron and Chatelain 1973	|		|	authority	|
+195	|	Campylobacter hyoilei	|		|	genbank synonym	|
+195	|	Campylobacter hyoilei Alderton et al. 1995	|		|	authority	|
+195	|	DSM 4689	|		|	type material	|
+195	|	JCM 2529	|		|	type material	|
+195	|	LMG 6440	|		|	type material	|
+195	|	NCTC 11366	|		|	type material	|
+195	|	Vibrio coli	|		|	synonym	|
+204	|	ATCC 51146	|		|	type material	|
+204	|	CCUG 30254	|		|	type material	|
+204	|	CIP 103970	|		|	type material	|
+204	|	Campylobacter showae	|		|	scientific name	|
+204	|	Campylobacter showae Etoh et al. 1993	|		|	authority	|
+204	|	JCM 12989	|		|	type material	|
+204	|	LMG 12635	|		|	type material	|
+204	|	strain SU A4	|		|	type material	|
+250	|	ATCC 35910	|		|	type material	|
+250	|	CCUG 14555	|		|	type material	|
+250	|	CIP 103039	|		|	type material	|
+250	|	Chryseobacterium gleum	|		|	scientific name	|
+250	|	Chryseobacterium gleum (Holmes et al. 1984) Vandamme et al. 1994	|		|	authority	|
+250	|	DSM 16776	|		|	type material	|
+250	|	Flavobacterium gleum	|		|	synonym	|
+250	|	Flavobacterium gleum Holmes et al. 1984	|		|	authority	|
+250	|	IFO 15054	|		|	type material	|
+250	|	JCM 2410	|		|	type material	|
+250	|	LMG 8334	|		|	type material	|
+250	|	NBRC 15054	|		|	type material	|
+250	|	NCTC 11432	|		|	type material	|
+250	|	strain F93	|		|	type material	|
+258	|	ATCC 33861	|		|	type material	|
+258	|	CCUG 13224	|		|	type material	|
+258	|	CDC E7288	|		|	type material	|
+258	|	CIP 100542	|		|	type material	|
+258	|	DSM 11722	|		|	type material	|
+258	|	Flavibacterium yabuuchiae	|		|	synonym	|
+258	|	Flavobacterium spiritivorum	|		|	synonym	|
+258	|	Flavobacterium spiritivorum Holmes et al. 1982	|		|	authority	|
+258	|	Flavobacterium yabuuchiae	|		|	synonym	|
+258	|	Flavobacterium yabuuchiae Holmes et al. 1988	|		|	authority	|
+258	|	GIFU 3101	|		|	type material	|
+258	|	IFO 14948	|		|	type material	|
+258	|	JCM 1277	|		|	type material	|
+258	|	JCM 6897	|		|	type material	|
+258	|	LMG 8347	|		|	type material	|
+258	|	NBRC 14948	|		|	type material	|
+258	|	NCTC 11386	|		|	type material	|
+258	|	Sphingobacter spiritivorum	|		|	misspelling	|
+258	|	Sphingobacterium spiritivorum	|		|	scientific name	|
+258	|	Sphingobacterium spiritivorum (Holmes et al. 1982) Yabuuchi et al. 1983	|		|	authority	|
+258	|	strain E7288	|		|	type material	|
+469	|	Acinetobacter	|		|	scientific name	|
+469	|	Acinetobacter Brisou and Prevot 1954	|		|	authority	|
+470	|	ATCC 19606	|		|	type material	|
+470	|	Acinetobacter baumanii	|		|	misspelling	|
+470	|	Acinetobacter baumanni	|		|	misspelling	|
+470	|	Acinetobacter baumannii	|		|	scientific name	|
+470	|	Acinetobacter baumannii Bouvet and Grimont 1986	|		|	authority	|
+470	|	Acinetobacter genomosp. 2	|		|	synonym	|
+470	|	Acinetobacter genomospecies 2	|		|	synonym	|
+470	|	Bacterium anitratum	|		|	synonym	|
+470	|	CCUG 19096	|		|	type material	|
+470	|	CIP 70.34	|		|	type material	|
+470	|	DSM 30007	|		|	type material	|
+470	|	JCM 6841	|		|	type material	|
+470	|	LMG 1041	|		|	type material	|
+470	|	NCCB 85021	|		|	type material	|
+470	|	NCTC 12156	|		|	type material	|
+471	|	"Micrococcus calco-aceticus" Beijerinck 1911	|		|	authority	|
+471	|	ATCC 23055	|		|	type material	|
+471	|	Acinetobacter calcoaceticus	|		|	scientific name	|
+471	|	Acinetobacter calcoaceticus (Beijerinck 1911) Baumann et al. 1968 (Approved Lists 1980) emend. Bouvet and Grimont 1986	|		|	authority	|
+471	|	Acinetobacter genomosp. 1	|		|	synonym	|
+471	|	Acinetobacter genomospecies 1	|		|	synonym	|
+471	|	Acinetobacter sp. AV6	|		|	includes	|
+471	|	Acinetobacter sp. HNR	|		|	includes	|
+471	|	Acinetobacter sp. STB1	|		|	includes	|
+471	|	CAIM 17	|		|	type material	|
+471	|	CCUG 12804	|		|	type material	|
+471	|	CIP 81.8	|		|	type material	|
+471	|	DSM 30006	|		|	type material	|
+471	|	JCM 6842	|		|	type material	|
+471	|	LMG 1046	|		|	type material	|
+471	|	Micrococcus calcoaceticus	|		|	synonym	|
+471	|	Moraxella calcoacetica	|		|	synonym	|
+471	|	NCCB 22016	|		|	type material	|
+471	|	NCTC 12983	|		|	type material	|
+471	|	Neisseria winogradskyi	|		|	synonym	|
+483	|	"Micrococcus cinereus" von Lingelsheim 1906	|		|	authority	|
+483	|	ATCC 14685	|		|	type material	|
+483	|	CCUG 2156	|		|	type material	|
+483	|	CCUG 346	|		|	type material	|
+483	|	CIP 73.16	|		|	type material	|
+483	|	DSM 4630	|		|	type material	|
+483	|	LMG 8380	|		|	type material	|
+483	|	Micrococcus cinereus	|		|	synonym	|
+483	|	NCTC 10294	|		|	type material	|
+483	|	Neisseria cinerea	|		|	scientific name	|
+483	|	Neisseria cinerea (von Lingelsheim 1906) Murray 1939	|		|	authority	|
+484	|	ATCC 13120	|		|	type material	|
+484	|	CCUG 17913	|		|	type material	|
+484	|	CCUG 345	|		|	type material	|
+484	|	CIP 73.15	|		|	type material	|
+484	|	DSM 17633	|		|	type material	|
+484	|	LMG 5297	|		|	type material	|
+484	|	NCTC 8263	|		|	type material	|
+484	|	Neisseria flavescens	|		|	scientific name	|
+484	|	Neisseria flavescens Branham 1930	|		|	authority	|
+486	|	"Neisseria lactamicus" (sic) Hollis et al. 1969	|		|	authority	|
+486	|	ATCC 23970	|		|	type material	|
+486	|	CCUG 5853	|		|	type material	|
+486	|	CIP 72.17	|		|	type material	|
+486	|	DSM 4691	|		|	type material	|
+486	|	NCTC 10617	|		|	type material	|
+486	|	Neisseria lactamica	|		|	scientific name	|
+486	|	Neisseria lactamica Hollis et al. 1969	|		|	authority	|
+486	|	Neisseria lactamicus	|		|	synonym	|
+487	|	"Diplokokkus intracellularis meningitidis" (sic) Weichselbaum 1887	|		|	authority	|
+487	|	"Micrococcus intracellularis" (Jaeger) Migula 1900	|		|	authority	|
+487	|	"Micrococcus meningitidis cerebrospinalis" Albrecht and Ghon 1901	|		|	authority	|
+487	|	"Micrococcus meningitidis" Albrecht and Ghon 1903	|		|	authority	|
+487	|	"Neisseria weichselbaumii" Trevisan 1889	|		|	authority	|
+487	|	ATCC 13077	|		|	type material	|
+487	|	CCUG 3269	|		|	type material	|
+487	|	CIP 73.10	|		|	type material	|
+487	|	DSM 10036	|		|	type material	|
+487	|	Diplokokkus intracellularis meningitidis	|		|	synonym	|
+487	|	Micrococcus intracellularis	|		|	synonym	|
+487	|	Micrococcus meningitidis	|		|	synonym	|
+487	|	Micrococcus meningitidis cerebrospinalis	|		|	synonym	|
+487	|	NCTC 10025	|		|	type material	|
+487	|	Neisseria meningitidis	|		|	scientific name	|
+487	|	Neisseria meningitidis (Albrecht and Ghon 1901) Murray 1929	|		|	authority	|
+487	|	Neisseria meningitidis.	|		|	misspelling	|
+487	|	Neisseria weichselbaumii	|		|	synonym	|
+487	|	strain Sara E. Branham M1027	|		|	type material	|
+488	|	"Diplococcus mucosus" von Lingelsheim 1906	|		|	authority	|
+488	|	ATCC 19696	|		|	type material	|
+488	|	CCUG 26877	|		|	type material	|
+488	|	CIP 59.51	|		|	type material	|
+488	|	DSM 17611	|		|	type material	|
+488	|	Diplococcus mucosus	|		|	synonym	|
+488	|	JCM 12992	|		|	type material	|
+488	|	NCTC 12978	|		|	type material	|
+488	|	Neisseria mucosa	|		|	scientific name	|
+488	|	Neisseria mucosa (von Lingelsheim 1906) Veron et al. 1959	|		|	authority	|
+488	|	Neisseria mucosa Veron et al. 1959 (sic)	|		|	authority	|
+489	|	"Neisseria polysacchareae" Riou et al. 1983	|		|	authority	|
+489	|	ATCC 43768	|		|	type material	|
+489	|	CCUG 18030	|		|	type material	|
+489	|	CIP 100113	|		|	type material	|
+489	|	NCTC 11858	|		|	type material	|
+489	|	Neisseria polysaccharea	|		|	scientific name	|
+489	|	Neisseria polysaccharea Riou and Guibourdenche 1987	|		|	authority	|
+489	|	Neisseria polysacchareae	|		|	synonym	|
+490	|	"Diplococcos pharyngis siccus" von Lingelsheim 1906	|		|	authority	|
+490	|	"Diplococcus siccus" von Lingelsheim 1908	|		|	authority	|
+490	|	ATCC 29256	|		|	type material	|
+490	|	CCUG 23929	|		|	type material	|
+490	|	CCUG 24959	|		|	type material	|
+490	|	CIP 103345	|		|	type material	|
+490	|	DSM 17713	|		|	type material	|
+490	|	Diplococcos pharyngis siccus	|		|	synonym	|
+490	|	Diplococcus siccus	|		|	synonym	|
+490	|	LMG 5290	|		|	type material	|
+490	|	NRL 30,016	|		|	type material	|
+490	|	Neisseria sicca	|		|	scientific name	|
+490	|	Neisseria sicca (von Lingelsheim 1908) Bergey et al. 1923	|		|	authority	|
+496	|	ATCC 33926	|		|	type material	|
+496	|	CIP 103346	|		|	type material	|
+496	|	Neisseria macaca	|		|	misspelling	|
+496	|	Neisseria macacae	|		|	scientific name	|
+496	|	Neisseria macacae Vedros et al. 1983	|		|	authority	|
+496	|	strain M-740	|		|	type material	|
+502	|	ATCC 33394	|		|	type material	|
+502	|	CCUG 6516	|		|	type material	|
+502	|	CCUG 9125	|		|	type material	|
+502	|	CIP 103473	|		|	type material	|
+502	|	DSM 10202	|		|	type material	|
+502	|	Kingella denitrificans	|		|	scientific name	|
+502	|	Kingella denitrificans Snell and Lapage 1976	|		|	authority	|
+502	|	NCTC 10995	|		|	type material	|
+504	|	"Moraxella kingae" Bovre et al. 1974	|		|	authority	|
+504	|	"Moraxella kingii" (sic) Henriksen and Bovre 1968	|		|	authority	|
+504	|	ATCC 23330	|		|	type material	|
+504	|	CCUG 352	|		|	type material	|
+504	|	CIP 80.16	|		|	type material	|
+504	|	DSM 7536	|		|	type material	|
+504	|	Kingella kingae	|		|	scientific name	|
+504	|	Kingella kingae (Henriksen and Bovre 1968) Henriksen and Bovre 1976	|		|	authority	|
+504	|	Kingella kingii	|		|	equivalent name	|
+504	|	Moraxella kingae	|		|	synonym	|
+504	|	Moraxella kingii	|		|	synonym	|
+504	|	NCTC 10529	|		|	type material	|
+505	|	ATCC 51147	|		|	type material	|
+505	|	CCUG 30450	|		|	type material	|
+505	|	CIP 103803	|		|	type material	|
+505	|	DSM 18271	|		|	type material	|
+505	|	Kingella orale	|		|	synonym	|
+505	|	Kingella oralis	|		|	scientific name	|
+505	|	Kingella oralis corrig. Dewhirst et al. 1993	|		|	authority	|
+505	|	strain UB-38	|		|	type material	|
+539	|	"Bacteroides corrodens" Eiken 1958 (in part)	|		|	synonym	|
+539	|	"Ristella corrodens" (Eiken 1958) Prevot 1966	|		|	synonym	|
+539	|	ATCC 23834	|		|	type material	|
+539	|	Bacteroides corrodens	|	Bacteroides corrodens <facultative anaerobe>	|	synonym	|
+539	|	CCUG 2138	|		|	type material	|
+539	|	CIP 70.75	|		|	type material	|
+539	|	DSM 8340	|		|	type material	|
+539	|	Eikenella corrodens	|		|	scientific name	|
+539	|	Eikenella corrodens (Eiken 1958) Jackson and Goodman 1972	|		|	synonym	|
+539	|	JCM 12952	|		|	type material	|
+539	|	LMG 15557	|		|	type material	|
+539	|	NCTC 10596	|		|	type material	|
+539	|	Ristella corrodens	|		|	synonym	|
+569	|	"Enterobacter aerogenes subsp. hafniae" Ewing 1963	|		|	authority	|
+569	|	"Enterobacter alvei" (Mller 1954) Sakazaki 1961	|		|	authority	|
+569	|	"Enterobacter hafniae" Ewing and Fife 1968	|		|	authority	|
+569	|	ATCC 13337	|		|	type material	|
+569	|	CCUG 41547	|		|	type material	|
+569	|	CIP 57.31	|		|	type material	|
+569	|	DSM 30163	|		|	type material	|
+569	|	Enterobacter aerogenes subsp. hafniae	|		|	synonym	|
+569	|	Enterobacter alvei	|		|	synonym	|
+569	|	Enterobacter hafniae	|		|	synonym	|
+569	|	HAMBI 1279	|		|	type material	|
+569	|	HAMBI 1876	|		|	type material	|
+569	|	Hafnia alvei	|		|	scientific name	|
+569	|	Hafnia alvei Moller 1954	|		|	authority	|
+569	|	Hafnia alvei sensu stricto genomosp. 1	|		|	synonym	|
+569	|	JCM 1666	|		|	type material	|
+569	|	LMG 10392	|		|	type material	|
+569	|	NCTC 8105	|		|	type material	|
+569	|	NRRL B-4260	|		|	type material	|
+569	|	not "Bacillus paratyphi-alvei" Bahr 1919	|		|	authority	|
+584	|	ATCC 29906	|		|	type material	|
+584	|	CCUG 26767	|		|	type material	|
+584	|	CIP 103181	|		|	type material	|
+584	|	DSM 4479	|		|	type material	|
+584	|	JCM 1669	|		|	type material	|
+584	|	LMG 3257	|		|	type material	|
+584	|	NCTC 11938	|		|	type material	|
+584	|	Proteus mirabilis	|		|	scientific name	|
+584	|	Proteus mirabilis Hauser 1885	|		|	authority	|
+587	|	"Bacterium rettgeri" Hadley 1918	|		|	authority	|
+587	|	"Shigella rettgeri" (Hadley et al. 1918) Weldin 1927	|		|	authority	|
+587	|	ATCC 29944	|		|	type material	|
+587	|	Bacterium rettgeri	|		|	synonym	|
+587	|	CCUG 14804	|		|	type material	|
+587	|	CIP 103182	|		|	type material	|
+587	|	DSM 4542	|		|	type material	|
+587	|	JCM 1675	|		|	type material	|
+587	|	LMG 3259	|		|	type material	|
+587	|	NCTC 11801	|		|	type material	|
+587	|	Proteus rettgeri	|		|	synonym	|
+587	|	Proteus rettgeri (Hadley et al. 1918) Rustigian and Stuart 1943 (Approved Lists 1980)	|		|	authority	|
+587	|	Providencia rettgeri	|		|	scientific name	|
+587	|	Providencia rettgeri (Hadley 1918) Brenner et al. 1978	|		|	authority	|
+587	|	Shigella rettgeri	|		|	synonym	|
+588	|	"Proteus stuartii" Buttiaux et al. 1954	|		|	authority	|
+588	|	ATCC 29914	|		|	type material	|
+588	|	CCUG 14805	|		|	type material	|
+588	|	CIP 104687	|		|	type material	|
+588	|	DSM 4539	|		|	type material	|
+588	|	LMG 3260	|		|	type material	|
+588	|	NCTC 11800	|		|	type material	|
+588	|	Proteus stuartii	|		|	synonym	|
+588	|	Providencia stuartii	|		|	scientific name	|
+588	|	Providencia stuartii (Buttiaux et al. 1954) Ewing 1962	|		|	authority	|
+615	|	"Bacillus marcescens" (Bizio 1823) Trevisan in de Toni and Trevisan 1889	|		|	authority	|
+615	|	ATCC 13880	|		|	type material	|
+615	|	Bacillus marcescens	|		|	synonym	|
+615	|	CCUG 1647	|		|	type material	|
+615	|	CFBP 4226	|		|	type material	|
+615	|	CIP 103235	|		|	type material	|
+615	|	DSM 30121	|		|	type material	|
+615	|	Enterobacteriaceae bacterium KO4	|		|	includes	|
+615	|	HAMBI 1286	|		|	type material	|
+615	|	JCM 1239	|		|	type material	|
+615	|	LMG 2792	|		|	type material	|
+615	|	NBRC 102204	|		|	type material	|
+615	|	NCTC 10211	|		|	type material	|
+615	|	NRRL B-2544	|		|	type material	|
+615	|	Pantoea sp. NAB7	|		|	includes	|
+615	|	Serratia marcescens	|		|	scientific name	|
+615	|	Serratia marcescens Bizio 1823	|		|	authority	|
+615	|	VKM B-1248	|		|	type material	|
+618	|	ATCC 33077	|		|	type material	|
+618	|	CCUG 14508	|		|	type material	|
+618	|	CDC 1979-77	|		|	type material	|
+618	|	CIP 79.1	|		|	type material	|
+618	|	DSM 4582	|		|	type material	|
+618	|	JCM 1243	|		|	type material	|
+618	|	NBRC 102598	|		|	type material	|
+618	|	NCTC 11214	|		|	type material	|
+618	|	Serratia odorifera	|		|	scientific name	|
+618	|	Serratia odorifera Grimont et al. 1978	|		|	authority	|
+618	|	Serratia odorifora	|		|	misspelling	|
+636	|	"Paracolobactrum anguillimortiferum" Hoshina 1962	|		|	authority	|
+636	|	ATCC 15947	|		|	type material	|
+636	|	CCUG 1638	|		|	type material	|
+636	|	CIP 78.61	|		|	type material	|
+636	|	DSM 30052	|		|	type material	|
+636	|	Edwardsiella anguillimortifera	|		|	synonym	|
+636	|	Edwardsiella anguillimortifera (Hoshina 1962) Sakazaki and Tamura 1975	|		|	authority	|
+636	|	Edwardsiella tarda	|		|	scientific name	|
+636	|	Edwardsiella tarda Ewing and McWhorter 1965	|		|	authority	|
+636	|	JCM 1656	|		|	type material	|
+636	|	LMG 2793	|		|	type material	|
+636	|	NCCB 73021	|		|	type material	|
+636	|	NCTC 10396	|		|	type material	|
+636	|	Paracolobactrum anguillimortiferum	|		|	synonym	|
+729	|	ATCC 33392	|		|	type material	|
+729	|	CCUG 12836	|		|	type material	|
+729	|	CIP 102513	|		|	type material	|
+729	|	DSM 8978	|		|	type material	|
+729	|	Haemophilus parainfluenza	|		|	misspelling	|
+729	|	Haemophilus parainfluenzae	|		|	scientific name	|
+729	|	Haemophilus parainfluenzae Rivers 1922	|		|	authority	|
+729	|	NCTC 7857	|		|	type material	|
+732	|	ATCC 33389	|		|	type material	|
+732	|	Aggregatibacter aphrophilus	|		|	scientific name	|
+732	|	Aggregatibacter aphrophilus (Khairat 1940) Norskov-Lauritsen and Kilian 2006	|		|	authority	|
+732	|	CCUG 3715	|		|	type material	|
+732	|	CIP 70.73	|		|	type material	|
+732	|	Haemophilus aphrophilus	|		|	synonym	|
+732	|	Haemophilus aphrophilus Khairat 1940 (Approved Lists 1980)	|		|	authority	|
+732	|	Haemophilus paraphrophilus	|		|	synonym	|
+732	|	Haemophilus paraphrophilus Zinnemann et al. 1968 (Approved Lists 1980)	|		|	authority	|
+732	|	NCTC 5906	|		|	type material	|
+739	|	ATCC 33393	|		|	type material	|
+739	|	Aggregatibacter segnis	|		|	scientific name	|
+739	|	Aggregatibacter segnis (Kilian 1977) Norskov-Lauritsen and Kilian 2006	|		|	authority	|
+739	|	CCUG 10787	|		|	type material	|
+739	|	CCUG 12838	|		|	type material	|
+739	|	CIP 103292	|		|	type material	|
+739	|	DSM 21418	|		|	type material	|
+739	|	Haemophilus segnis	|		|	synonym	|
+739	|	Haemophilus segnis Kilian 1977	|		|	authority	|
+739	|	NCTC 10977	|		|	type material	|
+739	|	strain HK316	|		|	type material	|
+754	|	ATCC 43325	|		|	type material	|
+754	|	CCUG 12397	|		|	type material	|
+754	|	CIP 103293	|		|	type material	|
+754	|	DSM 22969	|		|	type material	|
+754	|	NCTC 11617	|		|	type material	|
+754	|	Pasteurella dagmatis	|		|	scientific name	|
+754	|	Pasteurella dagmatis Mutters et al. 1985	|		|	authority	|
+816	|	"Ristella" Prevot 1938	|		|	authority	|
+816	|	Bacteroides	|	Bacteroides <genus>	|	scientific name	|
+816	|	Bacteroides Castellani and Chalmers 1919 (Approved Lists 1980) emend. Shah and Collins 1989	|		|	authority	|
+816	|	Capsularis	|		|	synonym	|
+816	|	Capsularis Prevot 1938 (Approved Lists 1980)	|		|	authority	|
+816	|	Ristella	|	Ristella <bacteria>	|	synonym	|
+817	|	"Bacteroides inaequalis" Eggerth and Gagnon 1933	|		|	authority	|
+817	|	"Bacteroides incommunis" Eggerth and Gagnon 1933	|		|	authority	|
+817	|	"Bacteroides uncatus" Eggerth and Gagnon 1933	|		|	authority	|
+817	|	"Fusiformis fragilis" Topley and Wilson 1929	|		|	authority	|
+817	|	"Pseudobacterium fragilis" Krasil'nikov 1949	|		|	authority	|
+817	|	"Pseudobacterium inaequalis" (Eggerth and Gagnon 1933) Krasil'nikov 1949	|		|	authority	|
+817	|	"Pseudobacterium incommunis" (Eggerth and Gagnon 1933) Krasil'nikov 1949	|		|	authority	|
+817	|	"Pseudobacterium uncatum" (Eggerth and Gagnon 1933) Krasil'nikov 1949	|		|	authority	|
+817	|	"Ristella fragilis" Prevot 1938	|		|	authority	|
+817	|	"Ristella incommunis" (Eggerth and Gagnon 1933) Prevot 1938	|		|	authority	|
+817	|	"Ristella uncata" (Eggerth and Gagnon 1933) Prevot 1938	|		|	authority	|
+817	|	"Sphaerophorus inaequalis" (Eggerth and Gagnon 1933) Prevot 1938	|		|	authority	|
+817	|	"Sphaerophorus intermedius" Bergan and Hovig 1968	|		|	authority	|
+817	|	ATCC 25285	|		|	type material	|
+817	|	Bacillus fragilis	|		|	synonym	|
+817	|	Bacillus fragilis Veillon and Zuber 1898	|		|	authority	|
+817	|	Bacteroides fragili	|		|	misspelling	|
+817	|	Bacteroides fragilis	|		|	scientific name	|
+817	|	Bacteroides fragilis (Veillon and Zuber 1898) Castellani and Chalmers 1919	|		|	authority	|
+817	|	Bacteroides inaequalis	|		|	synonym	|
+817	|	Bacteroides incommunis	|		|	synonym	|
+817	|	Bacteroides uncatus	|		|	synonym	|
+817	|	CCUG 4856	|		|	type material	|
+817	|	CIP 77.16	|		|	type material	|
+817	|	DSM 2151	|		|	type material	|
+817	|	Fusiformis fragilis	|		|	synonym	|
+817	|	JCM 11019	|		|	type material	|
+817	|	LMG 10263	|		|	type material	|
+817	|	NCTC 9343	|		|	type material	|
+817	|	Pseudobacterium fragilis	|		|	synonym	|
+817	|	Pseudobacterium inaequalis	|		|	synonym	|
+817	|	Pseudobacterium incommunis	|		|	synonym	|
+817	|	Pseudobacterium uncatum	|		|	synonym	|
+817	|	Ristella fragilis	|		|	synonym	|
+817	|	Ristella incommunis	|		|	synonym	|
+817	|	Ristella uncata	|		|	synonym	|
+817	|	Sphaerophorus inaequalis	|		|	synonym	|
+817	|	Sphaerophorus intermedius	|		|	synonym	|
+820	|	ATCC 8492	|		|	type material	|
+820	|	Bacteroides uniformis	|		|	scientific name	|
+820	|	Bacteroides uniformis Eggerth and Gagnon 1933	|		|	authority	|
+820	|	CCUG 4942	|		|	type material	|
+820	|	CIP 103695	|		|	type material	|
+820	|	DSM 6597	|		|	type material	|
+820	|	JCM 5828	|		|	type material	|
+820	|	NCTC 13054	|		|	type material	|
+821	|	ATCC 8482	|		|	type material	|
+821	|	BCRC 12903	|		|	type material	|
+821	|	Bacteroides vulgatus	|		|	scientific name	|
+821	|	Bacteroides vulgatus Eggerth and Gagnon 1933	|		|	authority	|
+821	|	CCRC 12903	|		|	type material	|
+821	|	CCUG 4940	|		|	type material	|
+821	|	CIP 103714	|		|	type material	|
+821	|	DSM 1447	|		|	type material	|
+821	|	IFO 14291	|		|	type material	|
+821	|	JCM 5826	|		|	type material	|
+821	|	LMG 17767	|		|	type material	|
+821	|	LMG 7956	|		|	type material	|
+821	|	NBRC 14291	|		|	type material	|
+821	|	NCTC 11154	|		|	type material	|
+847	|	ATCC 35274	|		|	type material	|
+847	|	CIP 106513	|		|	type material	|
+847	|	Oxalobacter formigenes	|		|	scientific name	|
+847	|	Oxalobacter formigenes Allison et al. 1985	|		|	authority	|
+847	|	strain OxB	|		|	type material	|
+849	|	"Actinomyces gonidiaformis" (Tunnicliff and Jackson 1925) Bergey et al. 1930	|		|	authority	|
+849	|	"Bacillus gonidiaformans" Tunnicliff and Jackson 1925	|		|	authority	|
+849	|	"Pseudobacterium gonidiaformans" (Tunnicliff and Jackson 1925) Krasil'nikov 1949	|		|	authority	|
+849	|	"Sphaerophorus gonidiaformans" (Tunnicliff and Jackson 1925) Prevot 1938	|		|	authority	|
+849	|	ATCC 25563	|		|	type material	|
+849	|	Actinomyces gonidiaformis	|		|	synonym	|
+849	|	Bacillus gonidiaformans	|		|	synonym	|
+849	|	CCUG 16790	|		|	type material	|
+849	|	DSM 19810	|		|	type material	|
+849	|	Fusibacterium gonidiaformans	|		|	synonym	|
+849	|	Fusibacterium gonidiiformans	|		|	equivalent name	|
+849	|	Fusobacterium gonidiaformans	|		|	scientific name	|
+849	|	Fusobacterium gonidiaformans (Tunnicliff and Jackson 1925) Moore and Holdeman 1970	|		|	authority	|
+849	|	Fusobacterium gonidiiformans	|		|	synonym	|
+849	|	Fusobacterium gonidoformans	|		|	misspelling	|
+849	|	Pseudobacterium gonidiaformans	|		|	synonym	|
+849	|	Sphaerophorus gonidiaformans	|		|	synonym	|
+901	|	ATCC 29098	|		|	type material	|
+901	|	DSM 749	|		|	type material	|
+901	|	Desulfomonas pigra	|		|	synonym	|
+901	|	Desulfomonas pigra Moore et al. 1976	|		|	authority	|
+901	|	Desulfovibrio piger	|		|	scientific name	|
+901	|	Desulfovibrio piger (Moore et al. 1976) Loubinoux et al. 2002	|		|	authority	|
+1015	|	ATCC 43767	|		|	type material	|
+1015	|	Bergeyella zoohelcum	|		|	scientific name	|
+1015	|	Bergeyella zoohelcum (Holmes et al. 1987) Vandamme et al. 1994	|		|	authority	|
+1015	|	CCUG 12568	|		|	type material	|
+1015	|	CCUG 30535	|		|	type material	|
+1015	|	CIP 103041	|		|	type material	|
+1015	|	DSM 16783	|		|	type material	|
+1015	|	IFO 16014	|		|	type material	|
+1015	|	JCM 21249	|		|	type material	|
+1015	|	LMG 12996	|		|	type material	|
+1015	|	LMG 8351	|		|	type material	|
+1015	|	NBRC 16014	|		|	type material	|
+1015	|	NCTC 11660	|		|	type material	|
+1015	|	Weeksella zoohelcum	|		|	synonym	|
+1015	|	Weeksella zoohelcum Holmes et al. 1987	|		|	authority	|
+1015	|	group IIj	|		|	synonym	|
+1015	|	strain D658	|		|	type material	|
+1018	|	"Fusiformis nucleatus var. ochraceus" Prevot et al. 1956	|		|	authority	|
+1018	|	"Ristella ochraceus" (sic) (Prevot 1956) Sebald 1962	|		|	authority	|
+1018	|	ATCC 27872	|		|	type material	|
+1018	|	Bacteroides ochraceus	|		|	synonym	|
+1018	|	Bacteroides ochraceus (Prevot et al. 1956) Holdeman and Moore 1972 (Approved Lists 1980)	|		|	authority	|
+1018	|	Bacteroides ochraceus Prevot et al. 1956 (sic)	|		|	authority	|
+1018	|	CCUG 9716	|		|	type material	|
+1018	|	CIP 103448	|		|	type material	|
+1018	|	Capnocytophaga ochracaea	|		|	misspelling	|
+1018	|	Capnocytophaga ochracca	|		|	misspelling	|
+1018	|	Capnocytophaga ochracea	|		|	scientific name	|
+1018	|	Capnocytophaga ochracea (Prevot et al. 1956) Leadbetter et al. 1982	|		|	authority	|
+1018	|	Capnocytophaga orchracea	|		|	misspelling	|
+1018	|	DSM 7271	|		|	type material	|
+1018	|	Fusiformis nucleatus var. ochraceus	|		|	synonym	|
+1018	|	JCM 12966	|		|	type material	|
+1018	|	NCTC 12371	|		|	type material	|
+1018	|	Ristella ochraceus	|		|	synonym	|
+1019	|	ATCC 33612	|		|	type material	|
+1019	|	CCUG 9714	|		|	type material	|
+1019	|	CIP 104301	|		|	type material	|
+1019	|	Capnocytophaga sputigena	|		|	scientific name	|
+1019	|	Capnocytophaga sputigena Leadbetter et al. 1982	|		|	authority	|
+1019	|	DSM 3292	|		|	type material	|
+1019	|	DSM 7273	|		|	type material	|
+1019	|	JCM 12967	|		|	type material	|
+1019	|	LMG 11518	|		|	type material	|
+1019	|	NCTC 11653	|		|	type material	|
+1019	|	strain 4	|		|	type material	|
+1034	|	ATCC 49720	|		|	type material	|
+1034	|	Afipia clevelandensis	|		|	scientific name	|
+1034	|	Afipia clevelandensis Brenner et al. 1992	|		|	authority	|
+1034	|	CCUG 30457	|		|	type material	|
+1034	|	CIP 103516	|		|	type material	|
+1034	|	DSM 7315	|		|	type material	|
+1034	|	NCTC 12721	|		|	type material	|
+1034	|	strain B-91-007353	|		|	type material	|
+1035	|	AFIP strain BV	|		|	type material	|
+1035	|	ATCC 53690	|		|	type material	|
+1035	|	Afipia felis	|		|	scientific name	|
+1035	|	Afipia felis Brenner et al. 1992	|		|	authority	|
+1035	|	CCUG 30456	|		|	type material	|
+1035	|	CIP 103515	|		|	type material	|
+1035	|	DSM 7326	|		|	type material	|
+1035	|	NCTC 12499	|		|	type material	|
+1035	|	cat scratch disease bacillus	|		|	genbank common name	|
+1035	|	strain B-91-007352	|		|	type material	|
+1236	|	Gammaproteobacteria	|		|	scientific name	|
+1236	|	Gammaproteobacteria Garrity et al. 2005	|		|	synonym	|
+1236	|	Proteobacteria gamma subdivision	|		|	synonym	|
+1236	|	Purple bacteria, gamma subdivision	|		|	synonym	|
+1236	|	g-proteobacteria	|	gamma proteos<blast1236>	|	blast name	|
+1236	|	gamma proteobacteria	|		|	synonym	|
+1236	|	gamma subdivision	|		|	synonym	|
+1236	|	gamma subgroup	|		|	synonym	|
+1270	|	"Bacteridium luteum" Schroeter 1872	|		|	authority	|
+1270	|	"Micrococcus flavus" Trevisan	|		|	authority	|
+1270	|	"Micrococcus lysodeikticus" Fleming 1933	|		|	authority	|
+1270	|	"Sarcina lutea" (Schroeter 1872) Schroeter 1886	|		|	authority	|
+1270	|	ATCC 4698	|		|	type material	|
+1270	|	Bacteridium luteum	|		|	synonym	|
+1270	|	CCM 169	|		|	type material	|
+1270	|	CCUG 5858	|		|	type material	|
+1270	|	CIP A270	|		|	type material	|
+1270	|	DSM 20030	|		|	type material	|
+1270	|	HAMBI 1399	|		|	type material	|
+1270	|	HAMBI 26	|		|	type material	|
+1270	|	IEGM 391	|		|	type material	|
+1270	|	IFO 3333	|		|	type material	|
+1270	|	JCM 1464	|		|	type material	|
+1270	|	LMG 4050	|		|	type material	|
+1270	|	Micrococcus luteus	|		|	scientific name	|
+1270	|	Micrococcus luteus (Schroeter 1872) Cohn 1872 (Approved Lists 1980) emend. Wieser et al. 2002	|		|	authority	|
+1270	|	Micrococcus lysodeikticus	|		|	synonym	|
+1270	|	NBRC 3333	|		|	type material	|
+1270	|	NCCB 78001	|		|	type material	|
+1270	|	NCTC 2665	|		|	type material	|
+1270	|	NRRL B-287	|		|	type material	|
+1270	|	Sarcina lutea	|		|	synonym	|
+1270	|	VKM B-1314	|		|	type material	|
+1270	|	not "Micrococcus luteus" Lehmann and Neumann 1896	|		|	authority	|
+1282	|	"Albococcus epidermidis" Winslow and Winslow 1908	|		|	authority	|
+1282	|	"Micrococcus epidermidis" (Winslow and Winslow 1908) Hucker 1924	|		|	authority	|
+1282	|	"Staphylococcus epidermidis albus" Welch 1891	|		|	authority	|
+1282	|	ATCC 14990	|		|	type material	|
+1282	|	Albococcus epidermidis	|		|	synonym	|
+1282	|	CCM 2124	|		|	type material	|
+1282	|	CCUG 18000 A	|		|	type material	|
+1282	|	CCUG 39508	|		|	type material	|
+1282	|	CIP 81.55	|		|	type material	|
+1282	|	DSM 20044	|		|	type material	|
+1282	|	JCM 2414	|		|	type material	|
+1282	|	LMG 10474	|		|	type material	|
+1282	|	Micrococcus epidermidis	|		|	synonym	|
+1282	|	NBRC 100911	|		|	type material	|
+1282	|	NCAIM B.01066	|		|	type material	|
+1282	|	NCTC 11047	|		|	type material	|
+1282	|	Staphylococcus epidermidis	|		|	scientific name	|
+1282	|	Staphylococcus epidermidis (Winslow and Winslow 1908) Evans 1916	|		|	authority	|
+1282	|	Staphylococcus epidermidis albus	|		|	synonym	|
+1292	|	ATCC 27836	|		|	type material	|
+1292	|	CCUG 7325	|		|	type material	|
+1292	|	CIP 81.65	|		|	type material	|
+1292	|	DSM 20316	|		|	type material	|
+1292	|	JCM 2415	|		|	type material	|
+1292	|	LMG 13354	|		|	type material	|
+1292	|	NCTC 11044	|		|	type material	|
+1292	|	NRRL B-14736	|		|	type material	|
+1292	|	Staphylococcus warneri	|		|	scientific name	|
+1292	|	Staphylococcus warneri Kloos and Schleifer 1975	|		|	authority	|
+1292	|	Staphylococcus warnerii	|		|	misspelling	|
+1305	|	ATCC 10556	|		|	type material	|
+1305	|	CCUG 17826	|		|	type material	|
+1305	|	CCUG 35770	|		|	type material	|
+1305	|	CIP 55.128	|		|	type material	|
+1305	|	DSM 20567	|		|	type material	|
+1305	|	JCM 5708	|		|	type material	|
+1305	|	LMG 14702	|		|	type material	|
+1305	|	NCTC 7863	|		|	type material	|
+1305	|	Streptococcus sanguinis	|		|	scientific name	|
+1305	|	Streptococcus sanguinis corrig. White and Niven 1946 (Approved Lists 1980) emend. Kilian et al. 1989	|		|	authority	|
+1305	|	Streptococcus sanguis	|		|	misspelling	|
+1305	|	strain SK1	|	strain SK1 <Streptococcus sanguinis>	|	type material	|
+1377	|	"Gaffkya homari" Hitchner and Snieszko 1947	|		|	authority	|
+1377	|	"Pediococcus homari" Deibel and Niven 1960	|		|	authority	|
+1377	|	ATCC 11563	|		|	type material	|
+1377	|	Aerococcus viridans	|		|	scientific name	|
+1377	|	Aerococcus viridans Williams et al. 1953	|		|	authority	|
+1377	|	CCUG 4311	|		|	type material	|
+1377	|	CIP 54.145	|		|	type material	|
+1377	|	DSM 20340	|		|	type material	|
+1377	|	Gaffkya homari	|		|	synonym	|
+1377	|	HAMBI 1583	|		|	type material	|
+1377	|	IFO 12219	|		|	type material	|
+1377	|	JCM 20461	|		|	type material	|
+1377	|	LMG 17931	|		|	type material	|
+1377	|	NBRC 12219	|		|	type material	|
+1377	|	NCAIM B.01070	|		|	type material	|
+1377	|	NCTC 8251	|		|	type material	|
+1377	|	Pediococcus homari	|		|	synonym	|
+1581	|	"Bacillus Buchneri" (sic) Henneberg 1903	|		|	authority	|
+1581	|	"Bacterium buchneri" (Henneberg 1903) Henneberg 1926	|		|	authority	|
+1581	|	"Lactobacterium buchneri" (Henneberg 1903) Krasil'nikov 1949	|		|	authority	|
+1581	|	"Ulvina buchneri" (Henneberg 1903) Pribram 1933	|		|	authority	|
+1581	|	ATCC 4005	|		|	type material	|
+1581	|	Bacillus Buchneri	|		|	synonym	|
+1581	|	Bacterium buchneri	|		|	synonym	|
+1581	|	CCUG 21532	|		|	type material	|
+1581	|	CIP 103023	|		|	type material	|
+1581	|	DSM 20057	|		|	type material	|
+1581	|	JCM 1115	|		|	type material	|
+1581	|	LMG 6892	|		|	type material	|
+1581	|	Lactobacillus buchneri	|		|	scientific name	|
+1581	|	Lactobacillus buchneri (Henneberg 1903) Bergey et al. 1923	|		|	authority	|
+1581	|	Lactobacterium buchneri	|		|	synonym	|
+1581	|	NCAIM B.01145	|		|	type material	|
+1581	|	NRRL B-1837	|		|	type material	|
+1581	|	Ulvina buchneri	|		|	synonym	|
+1581	|	VKM B-1599	|		|	type material	|
+1588	|	"Lactobacillus Type II" Fornachon 1943	|		|	synonym	|
+1588	|	ATCC 8290	|		|	type material	|
+1588	|	CCUG 30140	|		|	type material	|
+1588	|	CIP 103007	|		|	type material	|
+1588	|	DSM 20176	|		|	type material	|
+1588	|	IFO 15886	|		|	type material	|
+1588	|	JCM 1155	|		|	type material	|
+1588	|	LMG 6895	|		|	type material	|
+1588	|	Lactobacillus Type II	|		|	synonym	|
+1588	|	Lactobacillus hilgardii	|		|	scientific name	|
+1588	|	Lactobacillus hilgardii Douglas and Cruess 1936	|		|	synonym	|
+1588	|	NBRC 15886	|		|	type material	|
+1588	|	NRRL B-1843	|		|	type material	|
+1641	|	"Murraya grayi subsp. grayi" (Errebo Larsen and Seeliger 1966) Stuart and Welshimer 1974	|		|	authority	|
+1641	|	"Murraya grayi" (Errebo Larsen and Seeliger 1966) Stuart and Welshimer 1974	|		|	authority	|
+1641	|	ATCC 19120	|		|	type material	|
+1641	|	CCUG 4983	|		|	type material	|
+1641	|	CCUG 5118	|		|	type material	|
+1641	|	CIP 105447	|		|	type material	|
+1641	|	CIP 6818	|		|	type material	|
+1641	|	DSM 20601	|		|	type material	|
+1641	|	LMG 16490	|		|	type material	|
+1641	|	Listeria grayi	|		|	scientific name	|
+1641	|	Listeria grayi Errebo Larsen and Seeliger 1966 (Approved Lists 1980) emend. Rocourt et al. 1992	|		|	authority	|
+1641	|	Listeria grayi grayi	|		|	equivalent name	|
+1641	|	Listeria grayi subsp. grayi	|		|	synonym	|
+1641	|	Listeria murrayi	|		|	synonym	|
+1641	|	Listeria murrayi Welshimer and Meredith 1971 (Approved Lists 1980)	|		|	authority	|
+1641	|	Murraya grayi	|		|	synonym	|
+1641	|	Murraya grayi subsp. grayi	|		|	synonym	|
+1641	|	NCAIM B.01871	|		|	type material	|
+1641	|	NCTC 10815	|		|	type material	|
+1642	|	"Listeria innocua" Seeliger and Schoofs 1979	|		|	authority	|
+1642	|	ATCC 33090	|		|	type material	|
+1642	|	CCUG 15531	|		|	type material	|
+1642	|	CIP 80.11	|		|	type material	|
+1642	|	DSM 20649	|		|	type material	|
+1642	|	LMG 11387	|		|	type material	|
+1642	|	Listeria innocua	|		|	scientific name	|
+1642	|	Listeria innocua (ex Seeliger and Schoofs 1979) Seeliger 1983	|		|	authority	|
+1642	|	Listeria innocua Seeliger 1983	|		|	misnomer	|
+1642	|	NCTC 11288	|		|	type material	|
+1642	|	SLCC 3379	|		|	type material	|
+1681	|	"Actinobacterium bifidum" (Tissier 1900) Puntoni 1937	|		|	authority	|
+1681	|	"Actinomyces bifidus" (Tissier 1900) Nannizzi 1934	|		|	authority	|
+1681	|	"Actinomyces parabifidus" (Weiss and Rettger 1938) Pine and Georg 1965	|		|	authority	|
+1681	|	"Bacillus bifidus communis" Tissier 1900	|		|	authority	|
+1681	|	"Bacillus bifidus" Tissier 1900	|		|	authority	|
+1681	|	"Bacterium bifidum" (Tissier 1900) Lehmann and Neumann 1927	|		|	authority	|
+1681	|	"Bacteroides bifidus" (Tissier 1900) Castellani and Chalmers 1919	|		|	authority	|
+1681	|	"Bifidibacterium bifidum" (Tissier 1900) Prevot 1938	|		|	authority	|
+1681	|	"Cohnistreptothrix bifidus" (Tissier 1900) Negroni and Fischer 1944	|		|	authority	|
+1681	|	"Lactobacillus bifidus type II" Weiss and Rettger 1938	|		|	authority	|
+1681	|	"Lactobacillus parabifidus" Weiss and Rettger 1938	|		|	authority	|
+1681	|	"Nocardia bifida" (Tissier 1900) Vuillemin 1931	|		|	authority	|
+1681	|	"Tissieria bifida" (Tissier 1900) Pribram 1929	|		|	authority	|
+1681	|	AS 1.2212	|		|	type material	|
+1681	|	ATCC 29521	|		|	type material	|
+1681	|	Actinobacterium bifidum	|		|	synonym	|
+1681	|	Actinomyces bifidus	|		|	synonym	|
+1681	|	Actinomyces parabifidus	|		|	synonym	|
+1681	|	BCRC 14615	|		|	type material	|
+1681	|	Bacillus bifidus	|		|	synonym	|
+1681	|	Bacillus bifidus communis	|		|	synonym	|
+1681	|	Bacterium bifidum	|		|	synonym	|
+1681	|	Bacteroides bifidus	|		|	synonym	|
+1681	|	Bifidibacterium bifidum	|		|	synonym	|
+1681	|	Bifidobacterium bifidum	|		|	scientific name	|
+1681	|	Bifidobacterium bifidum (Tissier 1900) Orla-Jensen 1924	|		|	authority	|
+1681	|	CCRC 14615	|		|	type material	|
+1681	|	CCUG 18364	|		|	type material	|
+1681	|	CCUG 45217	|		|	type material	|
+1681	|	CIP 56.7	|		|	type material	|
+1681	|	Cohnistreptothrix bifidus	|		|	synonym	|
+1681	|	DSM 20456	|		|	type material	|
+1681	|	HAMBI 1380	|		|	type material	|
+1681	|	IFO 14252	|		|	type material	|
+1681	|	JCM 1255	|		|	type material	|
+1681	|	KCTC 3202	|		|	type material	|
+1681	|	LMG 11041	|		|	type material	|
+1681	|	LMG 8810	|		|	type material	|
+1681	|	Lactobacillus bifidus type II	|		|	synonym	|
+1681	|	Lactobacillus parabifidus	|		|	synonym	|
+1681	|	NBRC 100015	|		|	type material	|
+1681	|	NBRC 14252	|		|	type material	|
+1681	|	NCFB 2715	|		|	type material	|
+1681	|	NCIMB 702715	|		|	type material	|
+1681	|	NCTC 13001	|		|	type material	|
+1681	|	Nocardia bifida	|		|	synonym	|
+1681	|	Tissieria bifida	|		|	synonym	|
+1681	|	strain Ti	|		|	type material	|
+1697	|	"Bacterium ammoniagenes" Cooke and Keith 1927	|		|	synonym	|
+1697	|	ATCC 6871	|		|	type material	|
+1697	|	Bacterium ammoniagenes	|		|	synonym	|
+1697	|	Brevibacterium ammoniagenes	|		|	synonym	|
+1697	|	Brevibacterium ammoniagenes (Cooke and Keith 1927) Breed 1953 (Approved Lists 1980)	|		|	synonym	|
+1697	|	CCUG 38796	|		|	type material	|
+1697	|	CIP 101283	|		|	type material	|
+1697	|	Corynebacterium ammoniagenes	|		|	scientific name	|
+1697	|	Corynebacterium ammoniagenes (Cooke and Keith 1927) Collins 1987	|		|	synonym	|
+1697	|	Corynebacterium ammoniigenes	|		|	equivalent name	|
+1697	|	DSM 20306	|		|	type material	|
+1697	|	IFO 12612	|		|	type material	|
+1697	|	JCM 1305	|		|	type material	|
+1697	|	NBRC 12612	|		|	type material	|
+1697	|	NCCB 60030	|		|	type material	|
+1697	|	NCIB 8143	|		|	type material	|
+1697	|	NCIMB 8143	|		|	type material	|
+1697	|	VKM B-672	|		|	type material	|
+1735	|	"Bacteroides biformis" Eggerth 1935	|		|	authority	|
+1735	|	"Pseudobacterium biforme" (Eggerth 1935) Krasil'nikov 1949	|		|	authority	|
+1735	|	ATCC 27806	|		|	type material	|
+1735	|	Bacteroides biformis	|		|	synonym	|
+1735	|	CCUG 28091	|		|	type material	|
+1735	|	DSM 3989	|		|	type material	|
+1735	|	Eubacterium biforme	|		|	equivalent name	|
+1735	|	Eubacterium biforme (Eggerth 1935) Prevot 1938	|		|	authority	|
+1735	|	Pseudobacterium biforme	|		|	synonym	|
+1735	|	[Eubacterium] biforme	|		|	scientific name	|
+1743	|	Arachnia	|		|	includes	|
+1743	|	Arachnia Pine and Georg 1969	|		|	includes	|
+1743	|	Propionibacterium	|		|	scientific name	|
+1743	|	Propionibacterium Orla-Jensen 1909 (Approved Lists 1980) emend. Charfreitag et al. 1988	|		|	synonym	|
+1743	|	Propionicibacterium	|		|	equivalent name	|
+1833	|	"Mycobacterium erythropolis" Gray and Thornton 1928	|		|	authority	|
+1833	|	ATCC 4277	|		|	type material	|
+1833	|	Arthrobacter hydrocarboglutamicus	|		|	synonym	|
+1833	|	Arthrobacter oxamicetus	|		|	synonym	|
+1833	|	Arthrobacter oxamicetus subsp. propiophenicolus	|		|	synonym	|
+1833	|	Arthrobacter paraaffineus	|		|	misspelling	|
+1833	|	Arthrobacter paraffineus	|		|	synonym	|
+1833	|	Arthrobacter picolinophilus	|		|	synonym	|
+1833	|	Arthrobacter picolinophilus Tate and Ensign 1974 (Approved Lists 1980)	|		|	authority	|
+1833	|	Brevibacterium healii	|		|	synonym	|
+1833	|	Brevibacterium ketoglutamicum	|		|	synonym	|
+1833	|	Brevibacterium paraffinoliticum	|		|	synonym	|
+1833	|	CIP 104179	|		|	type material	|
+1833	|	Corynebacterium alkanum	|		|	synonym	|
+1833	|	Corynebacterium aurantiacum	|		|	synonym	|
+1833	|	Corynebacterium humiferum	|		|	synonym	|
+1833	|	Corynebacterium sp. WS2071	|		|	includes	|
+1833	|	Corynebacterium sp. WS2072	|		|	includes	|
+1833	|	DSM 43066	|		|	type material	|
+1833	|	HAMBI 1953	|		|	type material	|
+1833	|	IEGM 7	|		|	type material	|
+1833	|	IFO 15567	|		|	type material	|
+1833	|	JCM 20419	|		|	type material	|
+1833	|	JCM 3201	|		|	type material	|
+1833	|	LMG 5359	|		|	type material	|
+1833	|	Mycobacterium erythropolis	|		|	synonym	|
+1833	|	NBRC 15567	|		|	type material	|
+1833	|	NCIB 9158	|		|	type material	|
+1833	|	NCIMB 9158	|		|	type material	|
+1833	|	NCTC 13021	|		|	type material	|
+1833	|	NRRL B-16025	|		|	type material	|
+1833	|	Nocardia calcarea	|		|	synonym	|
+1833	|	Nocardia calcarea Metcalf and Brown 1957 (Approved Lists 1980)	|		|	authority	|
+1833	|	Nocardioides simplex ATCC 13260	|		|	includes	|
+1833	|	Nocardioides simplex ATCC 19565	|		|	includes	|
+1833	|	Nocardioides simplex ATCC 19566	|		|	includes	|
+1833	|	Rhodococcus NI86/21	|		|	includes	|
+1833	|	Rhodococcus erythreus	|		|	misnomer	|
+1833	|	Rhodococcus erythropolis	|		|	scientific name	|
+1833	|	Rhodococcus erythropolis (Gray and Thornton 1928) Goodfellow and Alderson 1979	|		|	authority	|
+1833	|	Rhodococcus sp. (strain NI86/21)	|		|	includes	|
+1833	|	Rhodococcus sp. ATCC 15108	|		|	includes	|
+1833	|	Rhodococcus sp. ATCC 15961	|		|	includes	|
+1833	|	Rhodococcus sp. ATCC 21035	|		|	includes	|
+1833	|	Rhodococcus sp. BZ4	|		|	includes	|
+1833	|	Rhodococcus sp. NCIB 9646	|		|	includes	|
+1833	|	Rhodococcus sp. NI86/21	|		|	includes	|
+1833	|	Rhodococcus sp. strain NI86/21	|		|	includes	|
+1833	|	VKM Ac-858	|		|	type material	|
+1833	|	strain N11	|		|	type material	|
+2173	|	ATCC 35061	|		|	type material	|
+2173	|	DSM 861	|		|	type material	|
+2173	|	Methanobrevibacter smithii	|		|	scientific name	|
+2173	|	Methanobrevibacter smithii Balch and Wolfe 1981	|		|	authority	|
+2173	|	OCM 144	|		|	type material	|
+2173	|	strain PS	|		|	type material	|
+2718	|	ATCC 15826	|		|	type material	|
+2718	|	CCUG 2711	|		|	type material	|
+2718	|	CIP 70.70	|		|	type material	|
+2718	|	Cardiobacterium hominis	|		|	scientific name	|
+2718	|	Cardiobacterium hominis Slotnick and Dougherty 1964	|		|	authority	|
+2718	|	DSM 8339	|		|	type material	|
+2718	|	LMG 3916	|		|	type material	|
+2718	|	NCTC 10426	|		|	type material	|
+9606	|	Homo sapiens	|		|	scientific name	|
+9606	|	Homo sapiens Linnaeus, 1758	|		|	authority	|
+9606	|	human	|		|	genbank common name	|
+9606	|	man	|		|	common name	|
+10090	|	LK3 transgenic mice	|		|	includes	|
+10090	|	Mus muscaris	|		|	misnomer	|
+10090	|	Mus musculus	|		|	scientific name	|
+10090	|	Mus musculus Linnaeus, 1758	|		|	authority	|
+10090	|	Mus sp. 129SV	|		|	includes	|
+10090	|	house mouse	|		|	genbank common name	|
+10090	|	mice C57BL/6xCBA/CaJ hybrid	|		|	misspelling	|
+10090	|	mouse	|		|	common name	|
+10090	|	nude mice	|		|	includes	|
+10090	|	transgenic mice	|		|	includes	|
+10372	|	HHV-7	|		|	genbank acronym	|
+10372	|	Herpes simplex virus 7	|		|	synonym	|
+10372	|	Human herpesvirus 7	|		|	scientific name	|
+10372	|	Human herpesvirus type 7	|		|	synonym	|
+10372	|	human herpesvirus 7 HHV-7	|		|	synonym	|
+10685	|	Bacillus phage SP01	|		|	acronym	|
+10685	|	Bacillus phage SPO1	|		|	scientific name	|
+10685	|	Bacillus subtilis bacteriophage SPO1	|		|	synonym	|
+10685	|	Bacteriophage SPO1	|		|	synonym	|
+10685	|	Bacteriophage sp01	|		|	synonym	|
+10685	|	phage SPO1	|		|	synonym	|
+10845	|	Bacteriophage St-1	|		|	synonym	|
+10845	|	Enterobacteria phage St-1	|		|	scientific name	|
+10845	|	phage St-1	|		|	synonym	|
+10849	|	Bacteriophage alpha-3	|		|	synonym	|
+10849	|	Bacteriophage alpha3	|		|	synonym	|
+10849	|	Coliphage alpha3	|		|	synonym	|
+10849	|	Enterobacteria phage alpha3	|		|	scientific name	|
+10849	|	phage alpha-3	|		|	synonym	|
+13690	|	ATCC 51230	|		|	type material	|
+13690	|	Beijerinckia B1	|		|	includes	|
+13690	|	Beijerinckia sp. B1	|		|	includes	|
+13690	|	CCUG 28380	|		|	type material	|
+13690	|	CCUG 31205	|		|	type material	|
+13690	|	CIP 106726	|		|	type material	|
+13690	|	DSM 7462	|		|	type material	|
+13690	|	GIFU 9882	|		|	type material	|
+13690	|	HAMBI 1842	|		|	type material	|
+13690	|	IFO 15102	|		|	type material	|
+13690	|	JCM 7371	|		|	type material	|
+13690	|	LMG 11252	|		|	type material	|
+13690	|	NBRC 15102	|		|	type material	|
+13690	|	Sphingobium yanoikuyae	|		|	scientific name	|
+13690	|	Sphingobium yanoikuyae (Yabuuchi et al. 1990) Takeuchi et al. 2001	|		|	synonym	|
+13690	|	Sphingomonas yanoikuyae	|		|	genbank synonym	|
+13690	|	Sphingomonas yanoikuyae Yabuuchi et al. 1990	|		|	synonym	|
+28035	|	ATCC 43809	|		|	type material	|
+28035	|	CCUG 25348	|		|	type material	|
+28035	|	CIP 103642	|		|	type material	|
+28035	|	DSM 4804	|		|	type material	|
+28035	|	LMG 13346	|		|	type material	|
+28035	|	NCTC 12217	|		|	type material	|
+28035	|	NRRL B-14774	|		|	type material	|
+28035	|	Staphylococcus lugdunensis	|		|	scientific name	|
+28035	|	Staphylococcus lugdunensis Freney et al. 1988	|		|	authority	|
+28035	|	strain N860297	|		|	type material	|
+28080	|	ATCC 43954	|		|	type material	|
+28080	|	CCUG 14913	|		|	type material	|
+28080	|	CIP 103681	|		|	type material	|
+28080	|	CNW group	|		|	synonym	|
+28080	|	Campylobacter upsaliensis	|		|	scientific name	|
+28080	|	Campylobacter upsaliensis Sandstedt and Ursing 1991	|		|	authority	|
+28080	|	DSM 5365	|		|	type material	|
+28080	|	NCTC 11541	|		|	type material	|
+28080	|	catalase-negative or weak group of campylobacteria	|		|	synonym	|
+28090	|	"Acinetobacter lwoffi" (sic) (Audureau 1940) Brisou and Prevot 1954	|		|	authority	|
+28090	|	"Moraxella lwoffi" (sic) Audureau 1940	|		|	authority	|
+28090	|	ATCC 15309	|		|	type material	|
+28090	|	Acinetobacter genomosp. 8	|		|	synonym	|
+28090	|	Acinetobacter genomosp. 9	|		|	synonym	|
+28090	|	Acinetobacter genomospecies 8	|		|	synonym	|
+28090	|	Acinetobacter genomospecies 9	|		|	synonym	|
+28090	|	Acinetobacter lwoff	|		|	misspelling	|
+28090	|	Acinetobacter lwoffi	|		|	misspelling	|
+28090	|	Acinetobacter lwoffii	|		|	scientific name	|
+28090	|	Acinetobacter lwoffii (Audureau 1940) Brisou and Prevot 1954 (Approved Lists 1980) emend. Bouvet and Grimont 1986	|		|	authority	|
+28090	|	CCUG 33984	|		|	type material	|
+28090	|	CIP 64.10	|		|	type material	|
+28090	|	DSM 2403	|		|	type material	|
+28090	|	JCM 6840	|		|	type material	|
+28090	|	LMG 1029	|		|	type material	|
+28090	|	Moraxella lwoffi	|		|	synonym	|
+28090	|	NCAIM B.01101	|		|	type material	|
+28090	|	NCCB 73001	|		|	type material	|
+28090	|	NCTC 5866	|		|	type material	|
+28111	|	ATCC 27754	|		|	type material	|
+28111	|	Bacteroides eggerthii	|		|	scientific name	|
+28111	|	Bacteroides eggerthii Holdeman and Moore 1974	|		|	authority	|
+28111	|	CCUG 9559	|		|	type material	|
+28111	|	CIP 104285	|		|	type material	|
+28111	|	DSM 20697	|		|	type material	|
+28111	|	JCM 12986	|		|	type material	|
+28111	|	NCTC 11155	|		|	type material	|
+28117	|	"Bacillus putredinis" Weinberg et al. 1937	|		|	authority	|
+28117	|	"Pseudobacterium putredinis" (Weinberg et al. 1937) Krasil'nikov 1949	|		|	authority	|
+28117	|	"Ristella putredinis" (Weinberg et al. 1937) Prevot 1938	|		|	authority	|
+28117	|	ATCC 29800	|		|	type material	|
+28117	|	Alistipes putredinis	|		|	scientific name	|
+28117	|	Alistipes putredinis (Weinberg et al. 1937) Rautio et al. 2003	|		|	authority	|
+28117	|	Bacillus putredinis	|		|	synonym	|
+28117	|	Bacteroides putredenis	|		|	misspelling	|
+28117	|	Bacteroides putredinis	|		|	synonym	|
+28117	|	Bacteroides putredinis (Weinberg et al. 1937) Kelly 1957 (Approved Lists 1980)	|		|	authority	|
+28117	|	CCUG 45780	|		|	type material	|
+28117	|	CIP 104286	|		|	type material	|
+28117	|	DSM 17216	|		|	type material	|
+28117	|	JCM 16772	|		|	type material	|
+28117	|	Pseudobacterium putredinis	|		|	synonym	|
+28117	|	Ristella putredinis	|		|	synonym	|
+28126	|	ATCC 33574	|		|	type material	|
+28126	|	Bacteroides buccae	|		|	synonym	|
+28126	|	Bacteroides buccae Holdeman et al. 1982	|		|	authority	|
+28126	|	Bacteroides capillus	|		|	synonym	|
+28126	|	Bacteroides capillus Kornman and Holt 1982	|		|	authority	|
+28126	|	Bacteroides pentosaceus	|		|	synonym	|
+28126	|	Bacteroides pentosaceus Shah and Collins 1982	|		|	authority	|
+28126	|	CCUG 15401	|		|	type material	|
+28126	|	CIP 105106	|		|	type material	|
+28126	|	DSM 19025	|		|	type material	|
+28126	|	JCM 12245	|		|	type material	|
+28126	|	Prevotella buccae	|		|	scientific name	|
+28126	|	Prevotella buccae (Holdeman et al. 1982) Shah and Collins 1990	|		|	authority	|
+28126	|	VPI D3A-6	|		|	type material	|
+28127	|	ATCC 35310	|		|	type material	|
+28127	|	Bacteroides buccalis	|		|	synonym	|
+28127	|	Bacteroides buccalis Shah and Collins 1982	|		|	synonym	|
+28127	|	CCUG 15557	|		|	type material	|
+28127	|	DSM 20616	|		|	type material	|
+28127	|	JCM 12246	|		|	type material	|
+28127	|	NCDO 2354	|		|	type material	|
+28127	|	NCTC 13064	|		|	type material	|
+28127	|	Prevotella buccalis	|		|	scientific name	|
+28127	|	Prevotella buccalis (Shah and Collins 1982) Shah and Collins 1990	|		|	synonym	|
+28133	|	ATCC 33563	|		|	type material	|
+28133	|	CCUG 9560	|		|	type material	|
+28133	|	CIP 105552	|		|	type material	|
+28133	|	DSM 13386	|		|	type material	|
+28133	|	JCM 12250	|		|	type material	|
+28133	|	JCM 6322	|		|	type material	|
+28133	|	NCTC 9336	|		|	type material	|
+28133	|	Prevotella nigrescens	|		|	scientific name	|
+28133	|	Prevotella nigrescens Shah and Gharbia 1992	|		|	authority	|
+28133	|	VPI 8944	|		|	type material	|
+28133	|	strain Lambe 729-74	|		|	type material	|
+28134	|	"Ristella oralis" (Loesche et al. 1964) Prevot et al. 1967	|		|	authority	|
+28134	|	ATCC 33269	|		|	type material	|
+28134	|	Bacteroides oralis	|		|	synonym	|
+28134	|	Bacteroides oralis Loesche et al. 1964 (Approved Lists 1980)	|		|	authority	|
+28134	|	CCUG 15408	|		|	type material	|
+28134	|	DSM 20702	|		|	type material	|
+28134	|	JCM 12251	|		|	type material	|
+28134	|	NCTC 11459	|		|	type material	|
+28134	|	Prevotella oralis	|		|	scientific name	|
+28134	|	Prevotella oralis (Loesche et al. 1964) Shah and Collins 1990	|		|	authority	|
+28134	|	Ristella oralis	|		|	synonym	|
+28134	|	VPI D27B-24	|		|	type material	|
+28135	|	ATCC 33573	|		|	type material	|
+28135	|	Bacteroides oris	|		|	synonym	|
+28135	|	Bacteroides oris Holdeman et al. 1982	|		|	authority	|
+28135	|	CCUG 15405	|		|	type material	|
+28135	|	CIP 104480	|		|	type material	|
+28135	|	DSM 18711	|		|	type material	|
+28135	|	JCM 12252	|		|	type material	|
+28135	|	JCM 8540	|		|	type material	|
+28135	|	NCTC 13071	|		|	type material	|
+28135	|	Prevotella oris	|		|	scientific name	|
+28135	|	Prevotella oris (Holdeman et al. 1982) Shah and Collins 1990	|		|	authority	|
+28135	|	VPI D1A-1A	|		|	type material	|
+28197	|	ATCC 49616	|		|	type material	|
+28197	|	Arcibacter butzleri	|		|	equivalent name	|
+28197	|	Arcobacter butzleri	|		|	scientific name	|
+28197	|	Arcobacter butzleri (Kiehlbauch et al. 1991) Vandamme et al. 1992	|		|	authority	|
+28197	|	Arcobacter butzlerii	|		|	misspelling	|
+28197	|	Arquibacter butzleri	|		|	equivalent name	|
+28197	|	CCUG 30485	|		|	type material	|
+28197	|	CDC D2686	|		|	type material	|
+28197	|	CIP 103493	|		|	type material	|
+28197	|	CIP 103537	|		|	type material	|
+28197	|	Campylobacter butzleri	|		|	synonym	|
+28197	|	Campylobacter butzleri Kiehlbauch et al. 1991	|		|	authority	|
+28197	|	DSM 8739	|		|	type material	|
+28197	|	LMG 10828	|		|	type material	|
+28197	|	NCTC 12481	|		|	type material	|
+28197	|	strain D2686	|		|	type material	|
+28211	|	"Alphabacteria" Cavalier-Smith 1992	|		|	authority	|
+28211	|	Alphabacteria	|		|	synonym	|
+28211	|	Alphabacteria Cavalier-Smith 2002	|		|	authority	|
+28211	|	Alphaproteobacteria	|		|	scientific name	|
+28211	|	Alphaproteobacteria Garrity et al. 2006	|		|	authority	|
+28211	|	Proteobacteria alpha subdivision	|		|	synonym	|
+28211	|	Purple bacteria, alpha subdivision	|		|	synonym	|
+28211	|	a-proteobacteria	|	alpha proteos<blast28211>	|	blast name	|
+28211	|	alpha proteobacteria	|		|	synonym	|
+28211	|	alpha subdivision	|		|	synonym	|
+28211	|	alpha subgroup	|		|	synonym	|
+28449	|	"Micrococcus subflavus" Flugge 1886	|		|	authority	|
+28449	|	ATCC 49275	|		|	type material	|
+28449	|	CCUG 23930	|		|	type material	|
+28449	|	CIP 103343	|		|	type material	|
+28449	|	DSM 17610	|		|	type material	|
+28449	|	LMG 5313	|		|	type material	|
+28449	|	Micrococcus subflavus	|		|	synonym	|
+28449	|	NRL 30,017	|		|	type material	|
+28449	|	Neisseria subflava	|		|	scientific name	|
+28449	|	Neisseria subflava (Flugge 1886) Trevisan 1889	|		|	authority	|
+28449	|	strain U37	|		|	type material	|
+29321	|	ATCC 51513	|		|	type material	|
+29321	|	CCUG 32254	|		|	type material	|
+29321	|	CDC coryneform group ANF-1 like	|		|	synonym	|
+29321	|	CIP 104075	|		|	type material	|
+29321	|	Corynebacterium otitidis	|		|	synonym	|
+29321	|	DSM 8821	|		|	type material	|
+29321	|	JCM 12146	|		|	type material	|
+29321	|	LMG 19071	|		|	type material	|
+29321	|	Turicella otitidis	|		|	scientific name	|
+29321	|	Turicella otitidis Funke et al. 1994	|		|	authority	|
+29321	|	strain 234/92	|		|	type material	|
+29348	|	ATCC 29900	|		|	type material	|
+29348	|	CCUG 46510	|		|	type material	|
+29348	|	CIP 106966	|		|	type material	|
+29348	|	Clostridium spiroforme	|		|	equivalent name	|
+29348	|	Clostridium spiroforme Kaneuchi et al. 1979	|		|	authority	|
+29348	|	DSM 1552	|		|	type material	|
+29348	|	JCM 1432	|		|	type material	|
+29348	|	NCTC 11211	|		|	type material	|
+29348	|	VPI C28-23-1A	|		|	type material	|
+29348	|	[Clostridium] spiroforme	|		|	scientific name	|
+29430	|	"Achromobacter haemolyticus" Stenzel and Mannheim 1963	|		|	authority	|
+29430	|	ATCC 17906	|		|	type material	|
+29430	|	Achromobacter haemolyticus	|		|	synonym	|
+29430	|	Acinetobacter genomosp. 4	|		|	synonym	|
+29430	|	Acinetobacter genomospecies 4	|		|	synonym	|
+29430	|	Acinetobacter haematolyticus	|		|	synonym	|
+29430	|	Acinetobacter haemolyticus	|		|	scientific name	|
+29430	|	Acinetobacter haemolyticus (ex Stenzel and Mannheim 1963) Bouvet and Grimont 1986	|		|	authority	|
+29430	|	CCUG 888	|		|	type material	|
+29430	|	CIP 64.3	|		|	type material	|
+29430	|	DSM 6962	|		|	type material	|
+29430	|	LMG 996	|		|	type material	|
+29430	|	NCCB 85026	|		|	type material	|
+29430	|	NCTC 12155	|		|	type material	|
+29430	|	strain B40	|		|	type material	|
+29430	|	strain Mannheim 2446/60	|		|	type material	|
+29466	|	"Micrococcus gazogenes alcalescens anaerobius" Lewkowicz 1901	|		|	authority	|
+29466	|	"Micrococcus gazogenes" Hall and Howitt 1925	|		|	authority	|
+29466	|	"Micrococcus lactilyticus" Foubert and Douglas 1948	|		|	authority	|
+29466	|	"Staphylococcus parvulus" Veillon and Zuber 1898	|		|	authority	|
+29466	|	"Veillonella gazogenes" (Hall and Howitt 1925) Murray 1939	|		|	authority	|
+29466	|	ATCC 10790	|		|	type material	|
+29466	|	CCUG 5123	|		|	type material	|
+29466	|	DSM 2008	|		|	type material	|
+29466	|	JCM 12972	|		|	type material	|
+29466	|	Micrococcus gazogenes	|		|	synonym	|
+29466	|	Micrococcus gazogenes alcalescens anaerobius	|		|	synonym	|
+29466	|	Micrococcus lactilyticus	|		|	synonym	|
+29466	|	NCTC 11810	|		|	type material	|
+29466	|	Staphylococcus parvulus	|		|	synonym	|
+29466	|	Veillonella alcalescens	|		|	synonym	|
+29466	|	Veillonella alcalescens Prevot 1933	|		|	authority	|
+29466	|	Veillonella gazogenes	|		|	synonym	|
+29466	|	Veillonella parvula	|		|	scientific name	|
+29466	|	Veillonella parvula (Veillon and Zuber 1898) Prevot 1933 (AL 1980) emend. Mays et al. 1982	|		|	authority	|
+29466	|	not "Micrococcus gazogenes" Choukevitch 1911	|		|	authority	|
+33007	|	ATCC 51847	|		|	type material	|
+33007	|	Actinomyces neuii	|		|	scientific name	|
+33007	|	Actinomyces neuii Funke et al. 1994	|		|	synonym	|
+33007	|	CCUG 32252	|		|	type material	|
+33007	|	CIP 104015	|		|	type material	|
+33007	|	DSM 8576	|		|	type material	|
+33007	|	strain 97/90	|		|	type material	|
+33010	|	"Bacteroides avidus" Eggerth 1935	|		|	authority	|
+33010	|	"Corynebacterium avidum" (Eggerth 1935) Prevot 1938	|		|	authority	|
+33010	|	"Mycobacterium avidum" (Eggerth 1935) Krasil'nikov 1949	|		|	authority	|
+33010	|	ATCC 25577	|		|	type material	|
+33010	|	Bacteroides avidus	|		|	synonym	|
+33010	|	CCUG 36754	|		|	type material	|
+33010	|	CIP 103261	|		|	type material	|
+33010	|	Corynebacterium avidum	|		|	synonym	|
+33010	|	DSM 4901	|		|	type material	|
+33010	|	IFO 15671	|		|	type material	|
+33010	|	Mycobacterium avidum	|		|	synonym	|
+33010	|	NBRC 15671	|		|	type material	|
+33010	|	NCTC 11864	|		|	type material	|
+33010	|	Propionibacterium avidum	|		|	scientific name	|
+33010	|	Propionibacterium avidum (Eggerth 1935) Moore and Holdeman 1969	|		|	authority	|
+33010	|	Propionicibacterium avidum	|		|	equivalent name	|
+33032	|	ATCC 51172	|		|	type material	|
+33032	|	Anaerococcus lactolyticus	|		|	scientific name	|
+33032	|	Anaerococcus lactolyticus (Li et al. 1992) Ezaki et al. 2001	|		|	authority	|
+33032	|	CCUG 31351	|		|	type material	|
+33032	|	CIP 103725	|		|	type material	|
+33032	|	DSM 7456	|		|	type material	|
+33032	|	GIFU 8586	|		|	type material	|
+33032	|	JCM 8140	|		|	type material	|
+33032	|	Peptostreptococcus lactolyticus	|		|	synonym	|
+33032	|	Peptostreptococcus lactolyticus Li et al. 1992	|		|	authority	|
+33038	|	ATCC 29149	|		|	type material	|
+33038	|	Ruminococcus gnavus	|		|	equivalent name	|
+33038	|	Ruminococcus gnavus Moore et al. 1976	|		|	authority	|
+33038	|	Ruminococcus gravus	|		|	misspelling	|
+33038	|	VPI C7-9	|		|	type material	|
+33038	|	[Ruminococcus] gnavus	|		|	scientific name	|
+36834	|	ATCC 27791	|		|	type material	|
+36834	|	CIP 104316	|		|	type material	|
+36834	|	Clostridium celatum	|		|	scientific name	|
+36834	|	Clostridium celatum Hauschild and Holdeman 1974	|		|	synonym	|
+36834	|	DSM 1785	|		|	type material	|
+36834	|	JCM 1394	|		|	type material	|
+36834	|	NCTC 12746	|		|	type material	|
+37734	|	"Streptococcus casseliflavus" Vaughan et al. 1979	|		|	authority	|
+37734	|	ATCC 25788	|		|	type material	|
+37734	|	CCUG 18657	|		|	type material	|
+37734	|	CIP 103018	|		|	type material	|
+37734	|	DSM 20680	|		|	type material	|
+37734	|	Enterococcus casseliflavus	|		|	scientific name	|
+37734	|	Enterococcus casseliflavus (ex Vaughan et al. 1979) Collins et al. 1984	|		|	authority	|
+37734	|	Enterococcus flavescens	|		|	synonym	|
+37734	|	Enterococcus flavescens Pompei et al. 1992	|		|	authority	|
+37734	|	JCM 8723	|		|	type material	|
+37734	|	LMG 10745	|		|	type material	|
+37734	|	MUTK 20	|		|	type material	|
+37734	|	NBRC 100478	|		|	type material	|
+37734	|	NCDO 2372	|		|	type material	|
+37734	|	NCIMB 11449	|		|	type material	|
+37734	|	NCTC 12361	|		|	type material	|
+37734	|	NRRL B-3502	|		|	type material	|
+37734	|	Streptococcus casseliflavus	|		|	synonym	|
+37734	|	Streptococcus faecium subsp. casseliflavus	|		|	synonym	|
+37734	|	Streptococcus faecium var. casseliflavus	|		|	synonym	|
+38284	|	ATCC 49725	|		|	type material	|
+38284	|	CCUG 28779	|		|	type material	|
+38284	|	CDC coryneform group G-1	|		|	synonym	|
+38284	|	CIP 104783	|		|	type material	|
+38284	|	CNCTC Th1/57	|		|	type material	|
+38284	|	Corynebacterium accolens	|		|	scientific name	|
+38284	|	Corynebacterium accolens Neubauer et al. 1991	|		|	synonym	|
+38284	|	DSM 44278	|		|	type material	|
+38284	|	JCM 8331	|		|	type material	|
+38289	|	ATCC 43734	|		|	type material	|
+38289	|	CCUG 27192	|		|	type material	|
+38289	|	CDC coryneform group JK	|		|	synonym	|
+38289	|	CIP 103337	|		|	type material	|
+38289	|	Corynebacterium jeikeium	|		|	scientific name	|
+38289	|	Corynebacterium jeikeium Jackman et al. 1988	|		|	synonym	|
+38289	|	DSM 7171	|		|	type material	|
+38289	|	JCM 9384	|		|	type material	|
+38289	|	NCTC 11913	|		|	type material	|
+39492	|	ATCC 29066	|		|	type material	|
+39492	|	DSM 3996	|		|	type material	|
+39492	|	Eubacterium siraeum	|		|	scientific name	|
+39492	|	Eubacterium siraeum Moore et al. 1976	|		|	authority	|
+39492	|	[Eubacterium] siraeum	|		|	equivalent name	|
+39496	|	"Bacillus ventriosus" Tissier 1908	|		|	authority	|
+39496	|	"Bacteroides ventriosus" (Tissier 1908) Eggerth 1935	|		|	authority	|
+39496	|	"Pseudobacterium ventriosum" (Tissier 1908) Krasil'nikov 1949	|		|	authority	|
+39496	|	ATCC 27560	|		|	type material	|
+39496	|	Bacillus ventriosus	|		|	synonym	|
+39496	|	Bacteroides ventriosus	|		|	synonym	|
+39496	|	DSM 3988	|		|	type material	|
+39496	|	Eubacterium ventriosum	|		|	scientific name	|
+39496	|	Eubacterium ventriosum (Tissier 1908) Prevot 1938	|		|	authority	|
+39496	|	Pseudobacterium ventriosum	|		|	synonym	|
+39496	|	[Eubacterium] ventriosum	|		|	equivalent name	|
+39778	|	ATCC 17748	|		|	type material	|
+39778	|	DSM 20735	|		|	type material	|
+39778	|	NCTC 11831	|		|	type material	|
+39778	|	Veillonella alcalescens subsp. dispar	|		|	synonym	|
+39778	|	Veillonella dispar	|		|	scientific name	|
+39778	|	Veillonella dispar (Rogosa 1965) Mays et al. 1982	|		|	synonym	|
+40214	|	ATCC 17909	|		|	type material	|
+40214	|	Acinetobacter genomosp. 7	|		|	synonym	|
+40214	|	Acinetobacter genomospecies 7	|		|	synonym	|
+40214	|	Acinetobacter johnsonii	|		|	scientific name	|
+40214	|	Acinetobacter johnsonii Bouvet and Grimont 1986	|		|	authority	|
+40214	|	CCUG 19095	|		|	type material	|
+40214	|	CIP 64.6	|		|	type material	|
+40214	|	DSM 6963	|		|	type material	|
+40214	|	HAMBI 1969	|		|	type material	|
+40214	|	HAMBI 1971	|		|	type material	|
+40214	|	LMG 999	|		|	type material	|
+40214	|	NCIMB 12460	|		|	type material	|
+40214	|	NCTC 12154	|		|	type material	|
+40214	|	strain Mannheim 3865/60	|		|	type material	|
+40215	|	ATCC 17908	|		|	type material	|
+40215	|	Acinetobacter genomosp. 5	|		|	synonym	|
+40215	|	Acinetobacter genomospecies 5	|		|	synonym	|
+40215	|	Acinetobacter grimontii	|		|	genbank synonym	|
+40215	|	Acinetobacter grimontii Carr et al. 2003	|		|	authority	|
+40215	|	Acinetobacter junii	|		|	scientific name	|
+40215	|	Acinetobacter junii Bouvet and Grimont 1986	|		|	authority	|
+40215	|	CCUG 889	|		|	type material	|
+40215	|	CIP 64.5	|		|	type material	|
+40215	|	DSM 6964	|		|	type material	|
+40215	|	LMG 998	|		|	type material	|
+40215	|	NCTC 12153	|		|	type material	|
+40215	|	strain Mannheim 2723/59	|		|	type material	|
+40216	|	ATCC 43998	|		|	type material	|
+40216	|	Acinetobacter genomosp. 12	|		|	synonym	|
+40216	|	Acinetobacter genomospecies 12	|		|	synonym	|
+40216	|	Acinetobacter radiiresistens	|		|	misspelling	|
+40216	|	Acinetobacter radioresistens	|		|	scientific name	|
+40216	|	Acinetobacter radioresistens Nishimura et al. 1988	|		|	authority	|
+40216	|	CIP 103788	|		|	type material	|
+40216	|	DSM 6976	|		|	type material	|
+40216	|	IAM 13186	|		|	type material	|
+40216	|	JCM 9326	|		|	type material	|
+40216	|	LMG 10613	|		|	type material	|
+40216	|	NBRC 102413	|		|	type material	|
+40216	|	strain FO-1	|		|	type material	|
+42631	|	BStV	|		|	acronym	|
+42631	|	Brome streak mosaic potyvirus	|		|	synonym	|
+42631	|	Brome streak mosaic rymovirus	|		|	synonym	|
+42631	|	Brome streak mosaic virus	|		|	scientific name	|
+42631	|	Brome streak virus	|		|	synonym	|
+43765	|	'Corynebacterium asperum'	|		|	synonym	|
+43765	|	ATCC 49368	|		|	type material	|
+43765	|	CCUG 35685	|		|	type material	|
+43765	|	CDC coryneform group F-2	|		|	includes	|
+43765	|	CDC coryneform group I-2	|		|	includes	|
+43765	|	CIP 103452	|		|	type material	|
+43765	|	Corynebacterium amycolatum	|		|	scientific name	|
+43765	|	Corynebacterium amycolatum Collins et al. 1988	|		|	synonym	|
+43765	|	Corynebacterium asperum	|		|	synonym	|
+43765	|	DSM 6922	|		|	type material	|
+43765	|	IFO 15207	|		|	type material	|
+43765	|	JCM 7447	|		|	type material	|
+43765	|	NBRC 15207	|		|	type material	|
+43765	|	NCFB 2768	|		|	type material	|
+43765	|	NCIMB 13130	|		|	type material	|
+43765	|	strain S160	|		|	type material	|
+43767	|	"Bacillus hoagii" Morse 1912	|		|	authority	|
+43767	|	"Corynebacterium (pyogenes) equi roseum" Lutje 1923	|		|	authority	|
+43767	|	"Corynebacterium magnusson-holth" Plum 1940	|		|	authority	|
+43767	|	"Corynebacterium purulentus" (sic) Holtman 1945	|		|	authority	|
+43767	|	"Corynebacterium pyogenes (equi)" Miessner and Wetzel 1923	|		|	authority	|
+43767	|	"Mycobacterium equi" (Magnusson 1923) Jensen 1934	|		|	authority	|
+43767	|	"Mycobacterium restrictum" (Turfitt 1944) Krasil'nikov 1949	|		|	authority	|
+43767	|	"Prescottia equi" Jones et al. 2013	|		|	authority	|
+43767	|	"Proactinomyces restrictus" Turfitt 1944	|		|	authority	|
+43767	|	ATCC 25729	|		|	type material	|
+43767	|	ATCC 6939	|		|	type material	|
+43767	|	Bacillus hoagii	|		|	synonym	|
+43767	|	CCUG 892	|		|	type material	|
+43767	|	CIP 54.72	|		|	type material	|
+43767	|	Corynebacterium (pyogenes) equi roseum	|		|	synonym	|
+43767	|	Corynebacterium equi	|		|	genbank synonym	|
+43767	|	Corynebacterium equi Magnusson 1923 (Approved Lists 1980)	|		|	authority	|
+43767	|	Corynebacterium equii	|		|	misspelling	|
+43767	|	Corynebacterium hoagii	|		|	synonym	|
+43767	|	Corynebacterium hoagii (Morse 1912) Eberson 1918	|		|	authority	|
+43767	|	Corynebacterium magnusson-holth	|		|	synonym	|
+43767	|	Corynebacterium purulentus	|		|	synonym	|
+43767	|	Corynebacterium pyogenes (equi)	|		|	synonym	|
+43767	|	DSM 20307	|		|	type material	|
+43767	|	HAMBI 2061	|		|	type material	|
+43767	|	IFO 14956	|		|	type material	|
+43767	|	JCM 1311	|		|	type material	|
+43767	|	JCM 3209	|		|	type material	|
+43767	|	LMG 18452	|		|	type material	|
+43767	|	Mycobacterium equi	|		|	synonym	|
+43767	|	Mycobacterium restrictum	|		|	synonym	|
+43767	|	NBRC 101255	|		|	type material	|
+43767	|	NBRC 14956	|		|	type material	|
+43767	|	NCTC 1621	|		|	type material	|
+43767	|	NRRL B-16538	|		|	type material	|
+43767	|	Nocardia restrica	|		|	misspelling	|
+43767	|	Nocardia restricta	|		|	synonym	|
+43767	|	Nocardia restricta (Turfitt 1944) McClung 1974 (Approved Lists 1980)	|		|	authority	|
+43767	|	Prescottia equi	|		|	synonym	|
+43767	|	Proactinomyces restrictus	|		|	synonym	|
+43767	|	Rhodococcus equi	|		|	scientific name	|
+43767	|	Rhodococcus equi (Magnusson 1923) Goodfellow and Alderson 1977	|		|	authority	|
+43767	|	Rhodococcus equi (Magnusson 1923) Goodfellow and Alderson 1979 (sic)	|		|	authority	|
+43767	|	VKM Ac-953	|		|	type material	|
+43768	|	"Actinomyces matruchoti" (Mendel 1919) Nannizzi 1934	|		|	synonym	|
+43768	|	"Cladothrix matruchoti" (sic) Mendel 1919	|		|	synonym	|
+43768	|	"Oospora matruchoti" (Mendel 1919) Sartory 1930	|		|	synonym	|
+43768	|	ATCC 14266	|		|	type material	|
+43768	|	Actinomyces matruchoti	|		|	synonym	|
+43768	|	Bacterionema matruchotii	|		|	synonym	|
+43768	|	Bacterionema matruchotii (Mendel 1919) Gilmour et al. 1961 (Approved Lists 1980)	|		|	synonym	|
+43768	|	CCUG 27545	|		|	type material	|
+43768	|	CCUG 46620	|		|	type material	|
+43768	|	CIP 81.82	|		|	type material	|
+43768	|	Cladothrix matruchoti	|		|	synonym	|
+43768	|	Corynebacterium matruchotii	|		|	scientific name	|
+43768	|	Corynebacterium matruchotii (Mendel 1919) Collins 1983	|		|	synonym	|
+43768	|	DSM 20635	|		|	type material	|
+43768	|	IFO 15360	|		|	type material	|
+43768	|	JCM 9386	|		|	type material	|
+43768	|	NBRC 15360	|		|	type material	|
+43768	|	NCTC 10254	|		|	type material	|
+43768	|	Oospora matruchoti	|		|	synonym	|
+46503	|	ATCC 43184	|		|	type material	|
+46503	|	Bacteroides merdae	|		|	synonym	|
+46503	|	Bacteroides merdae Johnson et al. 1986	|		|	authority	|
+46503	|	CCUG 38734	|		|	type material	|
+46503	|	CIP 104202	|		|	type material	|
+46503	|	JCM 9497	|		|	type material	|
+46503	|	NCTC 13052	|		|	type material	|
+46503	|	Parabacteroides merdae	|		|	scientific name	|
+46503	|	Parabacteroides merdae (Johnson et al. 1986) Sakamoto and Benno 2006	|		|	authority	|
+46503	|	VPI T4-1	|		|	type material	|
+47229	|	CCUG 45783	|		|	type material	|
+47229	|	CIP 105350	|		|	type material	|
+47229	|	Janthinobacterium sp. R2-11	|		|	includes	|
+47229	|	Massilia timonae	|		|	scientific name	|
+47229	|	Massilia timonae La Scola et al. 2000 emend. Lindquist et al. 2003	|		|	authority	|
+47229	|	Timone isolate	|		|	synonym	|
+47229	|	strain UR/MT95	|		|	type material	|
+47671	|	ATCC 51599	|		|	type material	|
+47671	|	CCUG 34794	|		|	type material	|
+47671	|	CIP 106317	|		|	type material	|
+47671	|	DSM 11362	|		|	type material	|
+47671	|	Lautropia mirabilis	|		|	scientific name	|
+47671	|	Lautropia mirabilis Gerner-Smidt et al. 1995	|		|	authority	|
+47671	|	NCTC 12852	|		|	type material	|
+47671	|	strain AB2188	|		|	type material	|
+47715	|	ATCC 7469	|		|	type material	|
+47715	|	CCUG 21452	|		|	type material	|
+47715	|	CIP A157	|		|	type material	|
+47715	|	DSM 20021	|		|	type material	|
+47715	|	IFO 3425	|		|	type material	|
+47715	|	JCM 1136	|		|	type material	|
+47715	|	LMG 6400	|		|	type material	|
+47715	|	Lactobacillus casei rhamnosus	|		|	synonym	|
+47715	|	Lactobacillus casei subsp. rhamnosus	|		|	synonym	|
+47715	|	Lactobacillus casei subsp. rhamnosus Hansen 1968 (Approved Lists 1980)	|		|	authority	|
+47715	|	Lactobacillus rhamnosus	|		|	scientific name	|
+47715	|	Lactobacillus rhamnosus (Hansen 1968) Collins et al. 1989	|		|	authority	|
+47715	|	Lactobacillus sp. W6	|		|	includes	|
+47715	|	Lactobacillus sp. X9	|		|	includes	|
+47715	|	NBRC 3425	|		|	type material	|
+47715	|	NCAIM B.01147	|		|	type material	|
+47715	|	NCCB 46033	|		|	type material	|
+47715	|	NCDO 243	|		|	type material	|
+47715	|	NCIMB 6375	|		|	type material	|
+47715	|	NCTC 12953	|		|	type material	|
+47715	|	NRRL B-442	|		|	type material	|
+47715	|	VKM B-574	|		|	type material	|
+49338	|	DSM 10664	|		|	type material	|
+49338	|	Desulfitobacterium frappieri	|		|	synonym	|
+49338	|	Desulfitobacterium frappieri Bouchard et al. 1996	|		|	authority	|
+49338	|	Desulfitobacterium hafniense	|		|	scientific name	|
+49338	|	Desulfitobacterium hafniense Christiansen and Ahring 1996 emend. Niggemyer et al. 2001	|		|	authority	|
+49338	|	anaerobic eubacterium PCP-1	|		|	includes	|
+49338	|	strain DCB-2	|		|	type material	|
+50290	|	Aotine herpesvirus 1	|		|	scientific name	|
+50290	|	Herpesvirus aotus 1	|		|	synonym	|
+53443	|	Blautia hydrogenotrophica	|		|	scientific name	|
+53443	|	Blautia hydrogenotrophica (Bernalier et al. 1997) Liu et al. 2008	|		|	authority	|
+53443	|	DSM 10507	|		|	type material	|
+53443	|	JCM 14656	|		|	type material	|
+53443	|	Ruminococcus hydrogenotrophicus	|		|	synonym	|
+53443	|	Ruminococcus hydrogenotrophicus Bernalier et al. 1997	|		|	authority	|
+53443	|	strain S5a33	|		|	type material	|
+56774	|	Eubacterium infirmum	|		|	equivalent name	|
+56774	|	Eubacterium infirmum Cheeseman et al. 1996	|		|	authority	|
+56774	|	Eubacterium sp. (strain W 1417)	|		|	includes	|
+56774	|	NCTC 12940	|		|	type material	|
+56774	|	[Eubacterium] infirmum	|		|	scientific name	|
+56946	|	ATCC 49717	|		|	type material	|
+56946	|	Afipia broomae	|		|	misspelling	|
+56946	|	Afipia broomeae	|		|	scientific name	|
+56946	|	Afipia broomeae Brenner et al. 1992	|		|	authority	|
+56946	|	CCUG 30458	|		|	type material	|
+56946	|	CIP 103517	|		|	type material	|
+56946	|	DSM 7327	|		|	type material	|
+56946	|	NCTC 12720	|		|	type material	|
+56946	|	strain B-91-007286	|		|	type material	|
+69218	|	ATCC 33241	|		|	type material	|
+69218	|	CCUG 25231	|		|	type material	|
+69218	|	CDC Enteric Group 19	|		|	synonym	|
+69218	|	CFBP 4167	|		|	type material	|
+69218	|	CIP 103787	|		|	type material	|
+69218	|	DSM 17580	|		|	type material	|
+69218	|	Enterobacter cancerogenus	|		|	scientific name	|
+69218	|	Enterobacter cancerogenus (Urosevic 1966) Dickey and Zumoff 1988	|		|	authority	|
+69218	|	Enterobacter taylorae	|		|	synonym	|
+69218	|	Enterobacter taylorae Farmer et al. 1985	|		|	authority	|
+69218	|	Erwinia cancerogena	|		|	synonym	|
+69218	|	Erwinia cancerogena Urosevic 1966 (Approved Lists 1980)	|		|	authority	|
+69218	|	ICMP 5706	|		|	type material	|
+69218	|	LMG 2693	|		|	type material	|
+69218	|	NCPPB 2176	|		|	type material	|
+71421	|	Haemophilus influenzae KW20	|		|	equivalent name	|
+71421	|	Haemophilus influenzae Rd	|		|	equivalent name	|
+71421	|	Haemophilus influenzae Rd KW20	|		|	scientific name	|
+72556	|	ATCC 43552	|		|	type material	|
+72556	|	Achromobacter piechaudii	|		|	scientific name	|
+72556	|	Achromobacter piechaudii (Kiredjian et al. 1986) Yabuuchi et al. 1998	|		|	authority	|
+72556	|	Alcaligenes piechaudii	|		|	synonym	|
+72556	|	Alcaligenes piechaudii Kiredjian et al. 1986	|		|	authority	|
+72556	|	CCUG 724	|		|	type material	|
+72556	|	CIP 60.75	|		|	type material	|
+72556	|	DSM 10342	|		|	type material	|
+72556	|	IAM 12591	|		|	type material	|
+72556	|	JCM 20668	|		|	type material	|
+72556	|	LMG 1873	|		|	type material	|
+72556	|	NBRC 102461	|		|	type material	|
+72556	|	NCTC 11970	|		|	type material	|
+72556	|	strain Hugh 366-5	|		|	type material	|
+76122	|	'Alloprevotella tannerae'	|		|	synonym	|
+76122	|	ATCC 51259	|		|	type material	|
+76122	|	Alloprevotella tannerae	|		|	scientific name	|
+76122	|	CCUG 34292	|		|	type material	|
+76122	|	CIP 104476	|		|	type material	|
+76122	|	NCTC 13073	|		|	type material	|
+76122	|	Prevotella tannerae	|		|	synonym	|
+76122	|	Prevotella tannerae Moore et al. 1994	|		|	authority	|
+76122	|	Prevotella tanneriae	|		|	misspelling	|
+76122	|	VPI N14B-15	|		|	type material	|
+76832	|	CCUG 39352	|		|	type material	|
+76832	|	CIP 105170	|		|	type material	|
+76832	|	JCM 7460	|		|	type material	|
+76832	|	LMG 4029	|		|	type material	|
+76832	|	Myroides odoratimimus	|		|	scientific name	|
+76832	|	Myroides odoratimimus Vancanneyt et al. 1996	|		|	authority	|
+76832	|	NCTC 11180	|		|	type material	|
+78258	|	AS 1.2280	|		|	type material	|
+78258	|	Bifidobacterium denticolens	|		|	synonym	|
+78258	|	Bifidobacterium denticolens Crociani et al. 1996	|		|	authority	|
+78258	|	CCUG 35728	|		|	type material	|
+78258	|	CCUG 36886	|		|	type material	|
+78258	|	DSM 10105	|		|	type material	|
+78258	|	JCM 12538	|		|	type material	|
+78258	|	NCTC 12936	|		|	type material	|
+78258	|	Parascardovia denticolens	|		|	scientific name	|
+78258	|	Parascardovia denticolens (Crociani et al. 1996) Jian and Dong 2002	|		|	authority	|
+78258	|	strain B3028	|		|	type material	|
+80840	|	'Burkholderiales'	|		|	synonym	|
+80840	|	Burkholderia/Oxalobacter/Ralstonia group	|		|	synonym	|
+80840	|	Burkholderiales	|		|	scientific name	|
+82203	|	ATCC 35019	|		|	type material	|
+82203	|	CCUG 44586	|		|	type material	|
+82203	|	CIP 105322	|		|	type material	|
+82203	|	Centipeda periodontii	|		|	scientific name	|
+82203	|	Centipeda periodontii Lai et al. 1983	|		|	authority	|
+82203	|	DSM 2778	|		|	type material	|
+82203	|	strain LL2383	|		|	type material	|
+85698	|	"Achromobacter xylosoxidans" Yabuuchi and Ohyama 1971	|		|	authority	|
+85698	|	ATCC 27061	|		|	type material	|
+85698	|	Achromobacter xylosoxidans	|		|	scientific name	|
+85698	|	Achromobacter xylosoxidans (ex Yabuuchi and Ohyama 1971) Yabuuchi and Yano 1981	|		|	authority	|
+85698	|	Achromobacter xylosoxidans KF701	|		|	includes	|
+85698	|	Achromobacter xylosoxidans subsp. xylosoxidans	|		|	includes	|
+85698	|	Achromobacter xylosoxidans subsp. xylosoxidans (ex Yabuuchi & Ohyama 1971) Yabuuchi & Yano 1981	|		|	authority	|
+85698	|	Achromobacter xylosoxydans	|		|	equivalent name	|
+85698	|	Alcaligenes denitrificans subsp. xylosoxydans	|		|	includes	|
+85698	|	Alcaligenes denitrificans subsp. xylosoxydans (Yabuuchi and Yano 1981) Kersters and De Ley 1984	|		|	authority	|
+85698	|	Alcaligenes denitrificans xylosoxydans	|		|	includes	|
+85698	|	Alcaligenes xylosoxidans	|		|	synonym	|
+85698	|	Alcaligenes xylosoxidans (Yabuuchi and Yano 1981) Kiredjian et al. 1986	|		|	authority	|
+85698	|	Alcaligenes xylosoxidans subsp. xylosoxidans	|		|	includes	|
+85698	|	Alcaligenes xylosoxidans subsp. xylosoxidans (Yabuuchi and Yano 1981) Kiredjian et al. 1986	|		|	authority	|
+85698	|	Alcaligenes xylosoxydans	|		|	equivalent name	|
+85698	|	Alcaligenes xylosoxydans xylosoxydans	|		|	includes	|
+85698	|	CCUG 12689	|		|	type material	|
+85698	|	CIP 71.32	|		|	type material	|
+85698	|	DSM 10346	|		|	type material	|
+85698	|	DSM 2402	|		|	type material	|
+85698	|	Flavobacterium sp. 650	|		|	includes	|
+85698	|	IFO 15126	|		|	type material	|
+85698	|	JCM 9659	|		|	type material	|
+85698	|	LMG 1863	|		|	type material	|
+85698	|	NBRC 15126	|		|	type material	|
+85698	|	NCTC 10807	|		|	type material	|
+85698	|	NRRL B-4082	|		|	type material	|
+85698	|	strain Hugh 2838	|		|	type material	|
+85698	|	strain KM 543	|		|	type material	|
+85698	|	strain Yabuuchi KM 543	|		|	type material	|
+100886	|	CCUG 48821 A	|		|	type material	|
+100886	|	CCUG 48821 B	|		|	type material	|
+100886	|	CIP 106738	|		|	type material	|
+100886	|	Catenabacterium mitsuokai	|		|	misspelling	|
+100886	|	Catenibacterium mitsuokai	|		|	scientific name	|
+100886	|	Catenibacterium mitsuokai Kageyama and Benno 2000	|		|	synonym	|
+100886	|	JCM 10609	|		|	type material	|
+100886	|	strain RCA 14-39	|		|	type material	|
+102862	|	ATCC 33519	|		|	type material	|
+102862	|	CCUG 15722	|		|	type material	|
+102862	|	CDC 1808-73	|		|	type material	|
+102862	|	CIP 103030	|		|	type material	|
+102862	|	DSM 4544	|		|	type material	|
+102862	|	JCM 3948	|		|	type material	|
+102862	|	NCTC 12737	|		|	type material	|
+102862	|	Proteus genomosp. 1	|		|	synonym	|
+102862	|	Proteus genomospecies 1	|		|	synonym	|
+102862	|	Proteus penneri	|		|	scientific name	|
+102862	|	Proteus penneri Hickman et al. 1983	|		|	synonym	|
+102862	|	Proteus vulgaris biogroup 1	|		|	synonym	|
+102862	|	Proteus vulgaris indole negative	|		|	synonym	|
+103621	|	Actinomyces sp. CCUG 28744	|		|	includes	|
+103621	|	Actinomyces sp. CCUG 42029	|		|	equivalent name	|
+103621	|	Actinomyces urogenitalis	|		|	scientific name	|
+103621	|	Actinomyces urogenitalis Nikolaitchouk et al. 2000	|		|	synonym	|
+103621	|	CCUG 38702	|		|	type material	|
+103621	|	CIP 106421	|		|	type material	|
+103621	|	DSM 15434	|		|	type material	|
+109790	|	ATCC 25258	|		|	type material	|
+109790	|	CCUG 21961	|		|	type material	|
+109790	|	CCUG 35572	|		|	type material	|
+109790	|	CIP 69.17	|		|	type material	|
+109790	|	DSM 20557	|		|	type material	|
+109790	|	JCM 1146	|		|	type material	|
+109790	|	JCM 15953	|		|	type material	|
+109790	|	LMG 6414	|		|	type material	|
+109790	|	Lactobacillus jensenii	|		|	scientific name	|
+109790	|	Lactobacillus jensenii Gasser et al. 1970	|		|	synonym	|
+109790	|	NRRL B-4550	|		|	type material	|
+113287	|	"Ramibacterium alactolyticum" Prevot and Taffanel 1942	|		|	authority	|
+113287	|	"Ramibacterium dentium" Vinzent and Reynes 1947	|		|	authority	|
+113287	|	"Ramibacterium pleuriticum" Prevot et al. 1947	|		|	authority	|
+113287	|	ATCC 23263	|		|	type material	|
+113287	|	CIP 106365	|		|	type material	|
+113287	|	DSM 3980	|		|	type material	|
+113287	|	Eubacterium alactolyticum	|		|	synonym	|
+113287	|	Eubacterium alactolyticum (Prevot and Taffanel 1942) Holdeman and Moore 1970 (Approved Lists 1980)	|		|	authority	|
+113287	|	JCM 6480	|		|	type material	|
+113287	|	Pseudoramibacter alactolyticus	|		|	scientific name	|
+113287	|	Pseudoramibacter alactolyticus (Prevot and Taffanel 1942) Willems and Collins 1996	|		|	authority	|
+113287	|	Ramibacterium alactolyticum	|		|	synonym	|
+113287	|	Ramibacterium dentium	|		|	synonym	|
+113287	|	Ramibacterium pleuriticum	|		|	synonym	|
+126385	|	"Bacillus inconstans" Ornstein 1920	|		|	authority	|
+126385	|	"Eberthella alcalifaciens" de Salles Gomes 1944	|		|	authority	|
+126385	|	ATCC 9886	|		|	type material	|
+126385	|	Bacillus inconstans	|		|	synonym	|
+126385	|	CCUG 6325	|		|	type material	|
+126385	|	CIP 82.90	|		|	type material	|
+126385	|	DSM 30120	|		|	type material	|
+126385	|	Eberthella alcalifaciens	|		|	synonym	|
+126385	|	JCM 1673	|		|	type material	|
+126385	|	NCTC 10286	|		|	type material	|
+126385	|	Proteus inconstans (Ornstein 1920) Shaw and Clarke 1955	|		|	authority	|
+126385	|	Providencia alcalifaciens	|		|	scientific name	|
+126385	|	Providencia alcalifaciens (de Salles Gomes 1944) Ewing 1962	|		|	authority	|
+133448	|	ATCC 29935	|		|	type material	|
+133448	|	CCUG 30791	|		|	type material	|
+133448	|	CDC 460-61	|		|	type material	|
+133448	|	CIP 105016	|		|	type material	|
+133448	|	Citrobacter genomospecies 5	|		|	synonym	|
+133448	|	Citrobacter youngae	|		|	scientific name	|
+133448	|	Citrobacter youngae Brenner et al. 1993	|		|	authority	|
+133448	|	DSM 17578	|		|	type material	|
+133448	|	GTC 1314	|		|	type material	|
+135080	|	ATCC 43531	|		|	type material	|
+135080	|	DSM 19720	|		|	type material	|
+135080	|	JCM 8544	|		|	type material	|
+135080	|	Selenomonas flueggei	|		|	scientific name	|
+135080	|	Selenomonas flueggei Moore et al. 1987	|		|	authority	|
+135082	|	ATCC 43532	|		|	type material	|
+135082	|	DSM 19666	|		|	type material	|
+135082	|	JCM 8545	|		|	type material	|
+135082	|	Selenomonas infelix	|		|	scientific name	|
+135082	|	Selenomonas infelix Moore et al. 1987	|		|	synonym	|
+135083	|	ATCC 43541	|		|	type material	|
+135083	|	DSM 19578	|		|	type material	|
+135083	|	JCM 8546	|		|	type material	|
+135083	|	Selenomonas noxia	|		|	scientific name	|
+135083	|	Selenomonas noxia Moore et al. 1987	|		|	authority	|
+135083	|	VPI D9B-5	|		|	type material	|
+138119	|	Desulfitobacterium hafniense Y51	|		|	scientific name	|
+138119	|	Desulfitobacterium hafniense str. Y51	|		|	equivalent name	|
+138119	|	Desulfitobacterium hafniense strain Y51	|		|	equivalent name	|
+138119	|	Desulfitobacterium sp. Y51	|		|	equivalent name	|
+154046	|	CCUG 43506	|		|	type material	|
+154046	|	Clostridium hathewayi	|		|	scientific name	|
+154046	|	Clostridium hathewayi Steer et al. 2002	|		|	authority	|
+154046	|	Clostridium sp. DSM 13479	|		|	includes	|
+154046	|	DSM 13479	|		|	type material	|
+154046	|	[Clostridium] hathewayi	|		|	equivalent name	|
+154046	|	strain 1313	|		|	type material	|
+155864	|	Escherichia coli 0157:H7 EDL933	|		|	misspelling	|
+155864	|	Escherichia coli O157:H7 EDL933	|		|	equivalent name	|
+155864	|	Escherichia coli O157:H7 str. EDL 933	|		|	misspelling	|
+155864	|	Escherichia coli O157:H7 str. EDL933	|		|	scientific name	|
+155864	|	Escherichia coli O157:H7 strain EDL933	|		|	equivalent name	|
+157692	|	CCUG 32286	|		|	type material	|
+157692	|	CIP 107915	|		|	type material	|
+157692	|	JCM 16774	|		|	type material	|
+157692	|	Leptotrichia goodfellowii	|		|	scientific name	|
+157692	|	Leptotrichia goodfellowii Eribe et al. 2004	|		|	authority	|
+157692	|	strain LB 57	|		|	type material	|
+158836	|	ATCC 49162	|		|	type material	|
+158836	|	CCUG 27126	|		|	type material	|
+158836	|	CDC Enteric Group 75	|		|	synonym	|
+158836	|	CIP 103441	|		|	type material	|
+158836	|	Enterobacter hormaechei	|		|	scientific name	|
+158836	|	Enterobacter hormaechei O'Hara et al. 1990	|		|	authority	|
+158836	|	strain 0992-77	|		|	type material	|
+158850	|	ATCC 33673	|		|	type material	|
+158850	|	CCUG 15723	|		|	type material	|
+158850	|	CDC 0132-68	|		|	type material	|
+158850	|	CIP 103032	|		|	type material	|
+158850	|	DSM 4541	|		|	type material	|
+158850	|	JCM 3953	|		|	type material	|
+158850	|	NCTC 11802	|		|	type material	|
+158850	|	Providencia alcalifaciens biogroup 3	|		|	synonym	|
+158850	|	Providencia friedericiana	|		|	synonym	|
+158850	|	Providencia friedericiana Muller 1983	|		|	authority	|
+158850	|	Providencia friederikeana	|		|	synonym	|
+158850	|	Providencia friederikeiana	|		|	synonym	|
+158850	|	Providencia rustigianii	|		|	scientific name	|
+158850	|	Providencia rustigianii Hickman-Brenner et al. 1983	|		|	authority	|
+158877	|	ATCC 49455	|		|	type material	|
+158877	|	BCRC 12225	|		|	type material	|
+158877	|	CCRC 12225	|		|	type material	|
+158877	|	CIP 105435	|		|	type material	|
+158877	|	Enteric Group 45	|		|	synonym	|
+158877	|	JCM 2403	|		|	type material	|
+158877	|	Koserella trabulsii	|		|	synonym	|
+158877	|	Koserella trabulsii Hickman-Brenner et al. 1985	|		|	authority	|
+158877	|	NBRC 102600	|		|	type material	|
+158877	|	NCTC 11966	|		|	type material	|
+158877	|	NIH 725-83	|		|	type material	|
+158877	|	Yokenella regensburgei	|		|	scientific name	|
+158877	|	Yokenella regensburgei Kosako et al. 1985	|		|	authority	|
+161889	|	ATCC 700352	|		|	type material	|
+161889	|	CCUG 37336	|		|	type material	|
+161889	|	CIP 105127	|		|	type material	|
+161889	|	Corynebacterium lipophiloflavum	|		|	scientific name	|
+161889	|	Corynebacterium lipophiloflavum Funke et al. 1997	|		|	synonym	|
+161889	|	Corynebacterium sp. 1944	|		|	includes	|
+161889	|	DMMZ 1944	|		|	type material	|
+161889	|	DSM 44291	|		|	type material	|
+161889	|	JCM 10383	|		|	type material	|
+168384	|	Bryantella formatexigens	|		|	synonym	|
+168384	|	Bryantella formatexigens Wolin et al. 2004	|		|	authority	|
+168384	|	CCUG 46960	|		|	type material	|
+168384	|	DSM 14469	|		|	type material	|
+168384	|	Marvinbryantia formatexigens	|		|	scientific name	|
+168384	|	Marvinbryantia formatexigens (Wolin et al. 2004) Wolin et al. 2008	|		|	authority	|
+168384	|	strain I-52	|		|	type material	|
+178214	|	ATCC 700628	|		|	type material	|
+178214	|	CCUG 36813	|		|	type material	|
+178214	|	CIP 105962	|		|	type material	|
+178214	|	Facklamia hominis	|		|	scientific name	|
+178214	|	Facklamia hominis Collins et al. 1997	|		|	synonym	|
+178214	|	LMG 18980	|		|	type material	|
+194702	|	ATCC BAA-694	|		|	type material	|
+194702	|	CCUG 48245	|		|	type material	|
+194702	|	Cardiobacterium valvarum	|		|	scientific name	|
+194702	|	Cardiobacterium valvarum Han et al. 2004 emend. Han and Falsen 2005	|		|	authority	|
+194702	|	Cardiobacterium valvitidis	|		|	misspelling	|
+194702	|	DSM 17211	|		|	type material	|
+194702	|	NCTC 13294	|		|	type material	|
+194702	|	strain MDA3079	|		|	type material	|
+199310	|	Escherichia coli CFT073	|		|	scientific name	|
+199310	|	Escherichia coli str. CFT073	|		|	equivalent name	|
+199310	|	Escherichia coli strain CFT073	|		|	equivalent name	|
+204525	|	ATCC 49957	|		|	type material	|
+204525	|	CIP 104027	|		|	type material	|
+204525	|	Roseomonas cervicalis	|		|	scientific name	|
+204525	|	Roseomonas cervicalis Rihs et al. 1998	|		|	synonym	|
+204525	|	strain E7107	|		|	type material	|
+207769	|	unclassified Eubacteriaceae	|		|	scientific name	|
+212035	|	Acanthamoeba polyphaga mimivirus	|		|	scientific name	|
+212035	|	Acanthomoeba polyphaga mimivirus	|		|	misspelling	|
+212035	|	Mimi	|		|	misnomer	|
+214851	|	CCUG 47106	|		|	type material	|
+214851	|	Clostridium sp. BI-114	|		|	includes	|
+214851	|	DSM 15176	|		|	type material	|
+214851	|	Subdoligranulum variabile	|		|	scientific name	|
+214851	|	Subdoligranulum variabile Holstrom et al. 2004	|		|	authority	|
+214851	|	strain BI 114	|		|	type material	|
+218538	|	CCUG 47026	|		|	type material	|
+218538	|	DSM 15470	|		|	type material	|
+218538	|	Dialister invisus	|		|	scientific name	|
+218538	|	Dialister invisus Downes et al. 2003	|		|	authority	|
+218538	|	JCM 17566	|		|	type material	|
+218538	|	strain E7.25	|		|	type material	|
+225324	|	ATCC 27094	|		|	type material	|
+225324	|	Enhydrobacter aerosaccus	|		|	scientific name	|
+225324	|	Enhydrobacter aerosaccus Staley et al. 1987	|		|	synonym	|
+225324	|	LMG 21877	|		|	type material	|
+246144	|	CCM 7220 [[Enterococcus saccharominimus]]	|		|	type material	|
+246144	|	CCUG 50447	|		|	type material	|
+246144	|	DSM 15952	|		|	type material	|
+246144	|	Enterococcus italicus	|		|	scientific name	|
+246144	|	Enterococcus italicus Fortina et al. 2004	|		|	authority	|
+246144	|	Enterococcus saccharominimus	|		|	synonym	|
+246144	|	Enterococcus saccharominimus Vancanneyt et al. 2004	|		|	authority	|
+246144	|	Enterococcus sp. CDC PNS-E1	|		|	includes	|
+246144	|	Enterococcus sp. TP1.5	|		|	includes	|
+246144	|	LMG 21727 [[Enterococcus saccharominimus]]	|		|	type material	|
+246144	|	LMG 22039	|		|	type material	|
+246144	|	strain TP1.5	|		|	type material	|
+246787	|	Bacteroides cellulosilyticus	|		|	scientific name	|
+246787	|	Bacteroides cellulosilyticus Robert et al. 2007	|		|	authority	|
+246787	|	CCUG 44979	|		|	type material	|
+246787	|	DSM 14838	|		|	type material	|
+246787	|	JCM 15632	|		|	type material	|
+246787	|	strain CRE21	|		|	type material	|
+249188	|	CCUG 48703	|		|	type material	|
+249188	|	DSM 17240	|		|	type material	|
+249188	|	DSM 21203	|		|	type material	|
+249188	|	Haemophilus pittmaniae	|		|	scientific name	|
+249188	|	Haemophilus pittmaniae Norskov-Lauritsen et al. 2005	|		|	authority	|
+249188	|	Haemophilus pittmanii	|		|	misspelling	|
+249188	|	NCTC 13334	|		|	type material	|
+249188	|	strain HK 85	|		|	type material	|
+272559	|	Bacteroides fragilis ATCC 25285	|		|	synonym	|
+272559	|	Bacteroides fragilis NCTC 9343	|		|	scientific name	|
+272559	|	Bacteroides fragilis NCTC9343	|		|	misspelling	|
+272559	|	Bacteroides fragilis str. NCTC 9343	|		|	equivalent name	|
+272559	|	Bacteroides fragilis strain NCTC 9343	|		|	equivalent name	|
+291644	|	ATCC BAA-997	|		|	type material	|
+291644	|	Bacteroides salyersae	|		|	synonym	|
+291644	|	Bacteroides salyersiae	|		|	scientific name	|
+291644	|	Bacteroides salyersiae corrig. Song et al. 2005	|		|	authority	|
+291644	|	Bacteroides sp. WAL 10018	|		|	includes	|
+291644	|	CCUG 48945	|		|	type material	|
+291644	|	DSM 18765	|		|	type material	|
+291644	|	JCM 12988	|		|	type material	|
+291644	|	WAL 10018	|		|	type material	|
+292800	|	"Bacille de Plaut, Kritchevsky and Seguin 1921"	|		|	authority	|
+292800	|	"Bacillus plauti" (sic) Seguin 1928	|		|	authority	|
+292800	|	"Fusocillus plauti" (sic) (Seguin 1928) Prevot 1938	|		|	authority	|
+292800	|	"Zuberella plauti" (sic) (Seguin 1928) Sebald 1962	|		|	authority	|
+292800	|	ATCC 29863	|		|	type material	|
+292800	|	ATCC 49531 [[Clostridium orbiscindens]]	|		|	type material	|
+292800	|	Bacillus plauti	|		|	synonym	|
+292800	|	CCUG 28093	|		|	type material	|
+292800	|	Clostridium orbiscindens	|		|	synonym	|
+292800	|	Clostridium orbiscindens Winter et al. 1991	|		|	authority	|
+292800	|	DSM 4000	|		|	type material	|
+292800	|	DSM 6740 [[Clostridium orbiscindens]]	|		|	type material	|
+292800	|	DSM 6749 [[Clostridium orbiscindens]]	|		|	type material	|
+292800	|	Eubacterium plautii	|		|	synonym	|
+292800	|	Eubacterium plautii (Seguin 1928) Hofstad and Aasjord 1982	|		|	authority	|
+292800	|	Flavonifractor plautii	|		|	scientific name	|
+292800	|	Flavonifractor plautii (Seguin 1928) Carlier et al. 2010	|		|	authority	|
+292800	|	Fusobacterium plautii	|		|	synonym	|
+292800	|	Fusobacterium plautii corrig. Seguin 1928 (Approved Lists 1980)	|		|	authority	|
+292800	|	Fusocillus plauti	|		|	synonym	|
+292800	|	Zuberella plauti	|		|	synonym	|
+328812	|	ATCC BAA-1180	|		|	type material	|
+328812	|	Bacteroides goldsteinii	|		|	synonym	|
+328812	|	Bacteroides goldsteinii Song et al. 2006	|		|	authority	|
+328812	|	Bacteroides sp. WAL 12034	|		|	includes	|
+328812	|	CCUG 48944	|		|	type material	|
+328812	|	DSM 19448	|		|	type material	|
+328812	|	JCM 13446	|		|	type material	|
+328812	|	Parabacteroides goldsteinii	|		|	scientific name	|
+328812	|	Parabacteroides goldsteinii (Song et al. 2006) Sakamoto and Benno 2006	|		|	authority	|
+328812	|	WAL 12034	|		|	type material	|
+329854	|	Bacteroides intestinalis	|		|	scientific name	|
+329854	|	Bacteroides intestinalis Bakir et al. 2006	|		|	authority	|
+329854	|	DSM 17393	|		|	type material	|
+329854	|	JCM 13265	|		|	type material	|
+329854	|	strain 341	|		|	type material	|
+331111	|	Escherichia coli E24377A	|		|	scientific name	|
+331111	|	Escherichia coli str. E24377A	|		|	equivalent name	|
+331111	|	Escherichia coli strain E24377A	|		|	equivalent name	|
+331112	|	Escherichia coli HS	|		|	scientific name	|
+331112	|	Escherichia coli str. HS	|		|	equivalent name	|
+331112	|	Escherichia coli strain HS	|		|	equivalent name	|
+357276	|	Bacteroides dorei	|		|	scientific name	|
+357276	|	Bacteroides dorei Bakir et al. 2006	|		|	authority	|
+357276	|	Bacteroides sp. 175T	|		|	includes	|
+357276	|	Bacteroides sp. 219	|		|	includes	|
+357276	|	DSM 17855	|		|	type material	|
+357276	|	JCM 13471	|		|	type material	|
+357276	|	strain 175	|		|	type material	|
+363265	|	DSM 18206	|		|	type material	|
+363265	|	JCM 13469	|		|	type material	|
+363265	|	Prevotella sp. CB35	|		|	includes	|
+363265	|	Prevotella stercorea	|		|	scientific name	|
+363265	|	Prevotella stercorea Hayashi et al. 2007	|		|	authority	|
+363265	|	strain CB35	|		|	type material	|
+374840	|	Enterobacteria phage phiX174 sensu lato	|		|	scientific name	|
+374844	|	Enterobacteria phage G4 sensu lato	|		|	scientific name	|
+374844	|	Enterobacteria phage G4-like viruses	|		|	synonym	|
+375288	|	Parabacteroides	|		|	scientific name	|
+375288	|	Parabacteroides Sakamoto and Benno 2006	|		|	authority	|
+387661	|	DSM 18315	|		|	type material	|
+387661	|	JCM 13406	|		|	type material	|
+387661	|	Parabacteroides johnsonii	|		|	scientific name	|
+387661	|	Parabacteroides johnsonii Sakamoto et al. 2007	|		|	authority	|
+387661	|	strain M-165	|		|	type material	|
+400667	|	Acinetobacter baumannii ATCC 17978	|		|	scientific name	|
+400667	|	Acinetobacter baumannii str. ATCC 17978	|		|	equivalent name	|
+400667	|	Acinetobacter baumannii strain ATCC 17978	|		|	equivalent name	|
+405416	|	Acinetobacter baumannii ACICU	|		|	scientific name	|
+405416	|	Acinetobacter baumannii ICU	|		|	misspelling	|
+405416	|	Acinetobacter baumannii str. ACICU	|		|	equivalent name	|
+405416	|	Acinetobacter baumannii strain ACICU	|		|	equivalent name	|
+409438	|	Escherichia coli SE11	|		|	scientific name	|
+409438	|	Escherichia coli str. SE11	|		|	equivalent name	|
+409438	|	Escherichia coli strain SE11	|		|	equivalent name	|
+435590	|	Bacteroides vulgatus ATCC 8482	|		|	scientific name	|
+435590	|	Bacteroides vulgatus str. ATCC 8482	|		|	equivalent name	|
+435590	|	Bacteroides vulgatus strain ATCC 8482	|		|	equivalent name	|
+435591	|	Parabacteroides distasonis ATCC 8503	|		|	scientific name	|
+435591	|	Parabacteroides distasonis str. ATCC 8503	|		|	equivalent name	|
+435591	|	Parabacteroides distasonis strain ATCC 8503	|		|	equivalent name	|
+437897	|	DSM 19343	|		|	type material	|
+437897	|	JCM 14723	|		|	type material	|
+437897	|	Megamonas funiformis	|		|	scientific name	|
+437897	|	Megamonas funiformis Sakon et al. 2008	|		|	authority	|
+437897	|	YIT 11815	|		|	type material	|
+437898	|	DSM 19354	|		|	type material	|
+437898	|	JCM 14724	|		|	type material	|
+437898	|	Sutterella parvirubra	|		|	scientific name	|
+437898	|	Sutterella parvirubra Sakon et al. 2008	|		|	authority	|
+437898	|	YIT 11816	|		|	type material	|
+439703	|	CCUG 54766	|		|	type material	|
+439703	|	DSM 19339	|		|	type material	|
+439703	|	JCM 15638	|		|	type material	|
+439703	|	Prevotella genomosp. T3	|		|	synonym	|
+439703	|	Prevotella maculosa	|		|	scientific name	|
+439703	|	Prevotella maculosa Downes et al. 2007	|		|	authority	|
+439703	|	strain W1609	|		|	type material	|
+444860	|	Cyanophage 8017-1	|		|	synonym	|
+444860	|	Synechococcus phage S-SM2	|		|	scientific name	|
+479436	|	Veillonella parvula DSM 2008	|		|	scientific name	|
+479436	|	Veillonella parvula str. DSM 2008	|		|	equivalent name	|
+479436	|	Veillonella parvula strain DSM 2008	|		|	equivalent name	|
+480119	|	Acinetobacter baumannii AB0057	|		|	scientific name	|
+480119	|	Acinetobacter baumannii str. AB0057	|		|	equivalent name	|
+480119	|	Acinetobacter baumannii strain AB0057	|		|	equivalent name	|
+481722	|	DSM 19906	|		|	type material	|
+481722	|	JCM 15041	|		|	type material	|
+481722	|	Lactobacillus kisonensis	|		|	scientific name	|
+481722	|	Lactobacillus kisonensis Watanabe et al. 2009	|		|	authority	|
+481722	|	Lactobacillus sp. YIT 11168	|		|	includes	|
+481722	|	Lactobacillus sp. YIT 11510	|		|	includes	|
+481722	|	Lactobacillus sp. YIT 11661	|		|	includes	|
+481722	|	NRIC 0741	|		|	type material	|
+481722	|	YIT 11168	|		|	type material	|
+487173	|	DSM 21274	|		|	type material	|
+487173	|	Dialister succinatiphilus	|		|	scientific name	|
+487173	|	Dialister succinatiphilus Morotomi et al. 2008	|		|	authority	|
+487173	|	JCM 15077	|		|	type material	|
+487173	|	YIT 11850	|		|	type material	|
+487174	|	Barnesiella intestinihominis	|		|	scientific name	|
+487174	|	Barnesiella intestinihominis Morotomi et al. 2008	|		|	authority	|
+487174	|	Barnesiella sp. YIT 11860	|		|	includes	|
+487174	|	DSM 21032	|		|	type material	|
+487174	|	JCM 15079	|		|	type material	|
+487174	|	YIT 11860	|		|	type material	|
+487175	|	DSM 21040	|		|	type material	|
+487175	|	JCM 15078	|		|	type material	|
+487175	|	Parasutterella excrementihominis	|		|	scientific name	|
+487175	|	Parasutterella excrementihominis Nagai et al. 2009	|		|	authority	|
+487175	|	strain YIT 11859	|		|	type material	|
+489828	|	Enterobacteria phage WA13 sensu lato	|		|	scientific name	|
+489829	|	Enterobacteria phage ID18 sensu lato	|		|	scientific name	|
+497978	|	Acinetobacter baumannii MDR-ZJ06	|		|	scientific name	|
+497978	|	Acinetobacter baumannii str. MDR-ZJ06	|		|	equivalent name	|
+497978	|	Acinetobacter baumannii strain MDR-ZJ06	|		|	equivalent name	|
+509170	|	Acinetobacter baumannii SDF	|		|	scientific name	|
+509170	|	Acinetobacter baumannii str. SDF	|		|	equivalent name	|
+509170	|	Acinetobacter baumannii strain SDF	|		|	equivalent name	|
+509173	|	Acinetobacter baumannii AYE	|		|	scientific name	|
+509173	|	Acinetobacter baumannii str. AYE	|		|	equivalent name	|
+509173	|	Acinetobacter baumannii strain AYE	|		|	equivalent name	|
+511969	|	Enterobacteria phage ID2 Moscow/ID/2001	|		|	scientific name	|
+546271	|	Selenomonas sputigena ATCC 35185	|		|	scientific name	|
+546271	|	Selenomonas sputigena DSM 20758	|		|	synonym	|
+546271	|	Selenomonas sputigena HMP_JCVI_SC0180	|		|	synonym	|
+546271	|	Selenomonas sputigena str. ATCC 35185	|		|	equivalent name	|
+546271	|	Selenomonas sputigena strain ATCC 35185	|		|	equivalent name	|
+585535	|	Helicobacter pylori 35A	|		|	scientific name	|
+585538	|	Helicobacter pylori 83	|		|	scientific name	|
+607711	|	CIP 109934	|		|	type material	|
+607711	|	DSM 22247	|		|	type material	|
+607711	|	Neisseria sp. WC 05-2507	|		|	includes	|
+607711	|	Neisseria wadsworthii	|		|	scientific name	|
+607711	|	Neisseria wadsworthii Wolfgang et al. 2011	|		|	authority	|
+607711	|	WC 05-9715	|		|	type material	|
+607711	|	strain 9715	|		|	type material	|
+607712	|	CIP 109933	|		|	type material	|
+607712	|	DSM 22246	|		|	type material	|
+607712	|	Neisseria shayeganii	|		|	scientific name	|
+607712	|	Neisseria shayeganii Wolfgang et al. 2011	|		|	authority	|
+607712	|	Neisseria sp. WC 04-12337	|		|	includes	|
+607712	|	WC 08-871	|		|	type material	|
+607712	|	strain 871	|		|	type material	|
+626929	|	Bacteroides clarus	|		|	scientific name	|
+626929	|	Bacteroides clarus Watanabe et al. 2010	|		|	authority	|
+626929	|	DSM 22519	|		|	type material	|
+626929	|	JCM 16067	|		|	type material	|
+626929	|	YIT 12056	|		|	type material	|
+626931	|	Bacteroides oleiciplenus	|		|	scientific name	|
+626931	|	Bacteroides oleiciplenus Watanabe et al. 2010	|		|	authority	|
+626931	|	DSM 22535	|		|	type material	|
+626931	|	JCM 16102	|		|	type material	|
+626931	|	YIT 12058	|		|	type material	|
+626932	|	Alistipes indistinctus	|		|	scientific name	|
+626932	|	Alistipes indistinctus Nagai et al. 2010	|		|	authority	|
+626932	|	DSM 22520	|		|	type material	|
+626932	|	JCM 16068	|		|	type material	|
+626932	|	YIT 12060	|		|	type material	|
+626938	|	'Succinatimonas hippei'	|		|	synonym	|
+626938	|	DSM 22608	|		|	type material	|
+626938	|	JCM 16073	|		|	type material	|
+626938	|	Succinatimonas hippei	|		|	scientific name	|
+626938	|	YIT 12066	|		|	type material	|
+634176	|	Aggregatibacter aphrophilus NJ8700	|		|	scientific name	|
+634176	|	Aggregatibacter aphrophilus str. NJ8700	|		|	equivalent name	|
+634176	|	Aggregatibacter aphrophilus strain NJ8700	|		|	equivalent name	|
+645687	|	Astrovirus VA1	|		|	scientific name	|
+649756	|	"Anaerostipes hadrus" Allen-Vercoe et al. 2012	|		|	authority	|
+649756	|	ATCC 29173	|		|	type material	|
+649756	|	Anaerostipes hadrus	|		|	scientific name	|
+649756	|	DSM 3319	|		|	type material	|
+649756	|	Eubacterium hadrum	|		|	synonym	|
+649756	|	Eubacterium hadrum Moore et al. 1976	|		|	authority	|
+649756	|	JCM 9980	|		|	type material	|
+649756	|	VP 82-52	|		|	type material	|
+649756	|	VPI B2-52	|		|	type material	|
+652103	|	Rhodopseudomonas palustris DX-1	|		|	scientific name	|
+652103	|	Rhodopseudomonas palustris str. DX-1	|		|	equivalent name	|
+652103	|	Rhodopseudomonas palustris strain DX-1	|		|	equivalent name	|
+655817	|	Escherichia coli ABU 83972	|		|	scientific name	|
+655817	|	Escherichia coli str. ABU 83972	|		|	equivalent name	|
+655817	|	Escherichia coli strain ABU 83972	|		|	equivalent name	|
+682382	|	HMO Astrovirus A	|		|	scientific name	|
+682382	|	Human-Mink-Ovine like astrovirus A	|		|	synonym	|
+683173	|	Astrovirus VA2	|		|	scientific name	|
+683174	|	Astrovirus VA3	|		|	scientific name	|
+685727	|	Rhodococcus equi 103S	|		|	scientific name	|
+685727	|	Rhodococcus equi str. 103S	|		|	equivalent name	|
+685727	|	Rhodococcus equi strain 103S	|		|	equivalent name	|
+693272	|	Cafeteria roenbergensis virus BV-PW1	|		|	scientific name	|
+693272	|	Cafeteria roenbergensis virus MGF-2008	|		|	synonym	|
+693272	|	Cafeteria roenbergensis virus strain BV-PW1	|		|	synonym	|
+693272	|	CroV	|		|	acronym	|
+696749	|	Acinetobacter baumannii 1656-2	|		|	scientific name	|
+696749	|	Acinetobacter baumannii str. 1656-2	|		|	equivalent name	|
+696749	|	Acinetobacter baumannii strain 1656-2	|		|	equivalent name	|
+759851	|	'Sporosarcina newyorkensis'	|		|	synonym	|
+759851	|	CCUG 59649	|		|	type material	|
+759851	|	DSM 23544	|		|	type material	|
+759851	|	LMG 26022	|		|	type material	|
+759851	|	Sporosarcina newyorkensis	|		|	scientific name	|
+759851	|	Sporosarcina sp. 1655	|		|	includes	|
+759851	|	Sporosarcina sp. 3418	|		|	includes	|
+759851	|	Sporosarcina sp. 4331	|		|	includes	|
+759851	|	Sporosarcina sp. 4469	|		|	includes	|
+759851	|	Sporosarcina sp. 4974	|		|	includes	|
+759851	|	Sporosarcina sp. 4984	|		|	includes	|
+759851	|	Sporosarcina sp. 5353	|		|	includes	|
+759851	|	Sporosarcina sp. 57	|		|	includes	|
+759851	|	Sporosarcina sp. 5868	|		|	includes	|
+759851	|	Sporosarcina sp. 6062	|		|	includes	|
+759851	|	Sporosarcina sp. R-31323	|		|	includes	|
+759851	|	strain 6062	|		|	type material	|
+760570	|	Streptococcus parasanguinis ATCC 15912	|		|	scientific name	|
+760570	|	Streptococcus parasanguinis CCUG 30417	|		|	synonym	|
+760570	|	Streptococcus parasanguinis CIP 104372	|		|	synonym	|
+760570	|	Streptococcus parasanguinis DSM 6778	|		|	synonym	|
+760570	|	Streptococcus parasanguinis GIFU 12468	|		|	synonym	|
+760570	|	Streptococcus parasanguinis GTC498	|		|	synonym	|
+760570	|	Streptococcus parasanguinis LMG 14537	|		|	synonym	|
+760570	|	Streptococcus parasanguinis str. ATCC 15912	|		|	equivalent name	|
+760570	|	Streptococcus parasanguinis strain ATCC 15912	|		|	equivalent name	|
+767029	|	Propionibacterium propionicum F0230a	|		|	scientific name	|
+767029	|	Propionibacterium propionicum str. F0230a	|		|	equivalent name	|
+767029	|	Propionibacterium propionicum strain F0230a	|		|	equivalent name	|
+796939	|	Eubacteriaceae bacterium CM2	|		|	scientific name	|
+796942	|	'Stomatobaculum longum'	|		|	synonym	|
+796942	|	Lachnospiraceae bacterium ACC2	|		|	includes	|
+796942	|	Stomatobaculum longum	|		|	scientific name	|
+885276	|	Escherichia coli clone D i2	|		|	misspelling	|
+885276	|	Escherichia coli str. 'clone D i2'	|		|	scientific name	|
+885276	|	Escherichia coli strain 'clone D i2'	|		|	equivalent name	|
+908937	|	Prevotella dentalis ATCC 49559	|		|	synonym	|
+908937	|	Prevotella dentalis DSM 3688	|		|	scientific name	|
+908937	|	Prevotella dentalis JCM 13448	|		|	synonym	|
+908937	|	Prevotella dentalis str. DSM 3688	|		|	equivalent name	|
+908937	|	Prevotella dentalis strain DSM 3688	|		|	equivalent name	|
+935897	|	Haemophilus influenzae F3047	|		|	scientific name	|
+935897	|	Haemophilus influenzae str. F3047	|		|	equivalent name	|
+935897	|	Haemophilus influenzae strain F3047	|		|	equivalent name	|
+1049283	|	Acinetobacter phage ZZ1	|		|	scientific name	|
+1094892	|	Megavirus chiliensis	|		|	scientific name	|
+1157951	|	Providencia stuartii MRSN 2154	|		|	scientific name	|
+1157951	|	Providencia stuartii str. MRSN 2154	|		|	equivalent name	|
+1157951	|	Providencia stuartii strain MRSN 2154	|		|	equivalent name	|
+1235314	|	Megavirus lba	|		|	scientific name	|
+1239574	|	Mamastrovirus 10	|		|	scientific name	|
+1239574	|	Mink astrovirus	|		|	synonym	|
+1239577	|	Mamastrovirus 13	|		|	scientific name	|
+1239577	|	Ovine astrovirus	|		|	synonym	|
+1239577	|	sheep astrovirus	|		|	synonym	|
+1247113	|	Astrovirus VA4	|		|	scientific name	|
+1254425	|	Porcine astrovirus 3	|		|	scientific name	|
+1269028	|	Acanthamoeba polyphaga moumouvirus	|		|	scientific name	|
diff --git a/inst/extdata/read_lengths.tab b/inst/extdata/read_lengths.tab
new file mode 100644
index 0000000..5b77f32
--- /dev/null
+++ b/inst/extdata/read_lengths.tab
@@ -0,0 +1,170 @@
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diff --git a/inst/extdata/read_weights.tab b/inst/extdata/read_weights.tab
new file mode 100644
index 0000000..bb6424d
--- /dev/null
+++ b/inst/extdata/read_weights.tab
@@ -0,0 +1,44 @@
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+NODE_1315_length_115_cov_1.008696	2
+NODE_1349_length_119_cov_1.033613	2
+NODE_1394_length_109_cov_1.091743	3
+NODE_1395_length_109_cov_1.110092	4
+NODE_1404_length_103_cov_1.019418	2
+NODE_1477_length_107_cov_1.149533	2
+NODE_1505_length_105_cov_1.009524	2
+NODE_1573_length_112_cov_1.133929	2
+NODE_427_length_161_cov_1.267081	2
+NODE_428_length_114_cov_1.745614	2
+NODE_447_length_133_cov_1.015038	2
+NODE_448_length_151_cov_28.086092	53
+NODE_479_length_114_cov_1.789474	2
+NODE_481_length_142_cov_1.436620	2
+NODE_485_length_153_cov_1.333333	2
+NODE_487_length_103_cov_1.980582	2
diff --git a/man/bayes.model.aver.Rd b/man/bayes.model.aver.Rd
new file mode 100644
index 0000000..401a0e1
--- /dev/null
+++ b/man/bayes.model.aver.Rd
@@ -0,0 +1,55 @@
+% Generated by roxygen2 (4.0.1): do not edit by hand
+\name{bayes.model.aver}
+\alias{bayes.model.aver}
+\alias{bayes.model.aver.explicit}
+\title{Bayesian Model Averaging}
+\usage{
+bayes.model.aver(step2, step3, taxon.name.map = NULL, poster.prob.thr = 0.9)
+
+bayes.model.aver.explicit(result, pij.sparse.mat, read.weights, outDir,
+  gen.prob.unknown, taxon.name.map = NULL, poster.prob.thr = 0.9)
+}
+\arguments{
+\item{step3}{list. The output from parallel.temper(), i.e the third step of the pipeline.  Alternatively, it can be a character string containing the path name of the ".RData" file  where step3 list was saved.}
+
+\item{step2}{list. The output from reduce.space(), i.e the second step of the pipeline.  Alternatively, it can be a character string containing the path name of the ".RData" file  where step2 list was saved.}
+
+\item{taxon.name.map}{The 'names.dmp' taxonomy names file, mapping each taxon identifier to the corresponding scientific name. It can be downloaded from  \url{ftp://ftp.ncbi.nih.gov/pub/taxonomy/taxdump.tar.gz}}
+
+\item{poster.prob.thr}{Posterior probability of presence of species threshold for reporting in the species summary.}
+
+\item{result}{The list produced by parallel.temper()  (or paraller.temper.nucl()) . It holds a detailed record for each chain, what moves were proposed, which were accepted and which were rejected as well the log-likelihood through the iterations.}
+
+\item{pij.sparse.mat}{see ?reduce.space}
+
+\item{read.weights}{see ?reduce.space}
+
+\item{gen.prob.unknown}{see ?reduce.space}
+
+\item{outDir}{see ?reduce.space}
+}
+\description{
+Bayesian Model Averaging
+
+Perform Bayesian Model Averaging.  We concentrate on the chain with temperature=1 , i.e the untempered posterior,  to study the distribution over the model choices and perform model averaging.  We consider as present the species that have a posterior probability greater than 0.9. We then fit the mixture model with these species in order to obtain relative abundances and read classification probabilities. A tab seperated file that has a species summary is produced, as well as log-likeliho [...]
+
+bayes.model.aver.explicit is the same function as bayes.model.aver with a more involved syntax.
+}
+\examples{
+## See vignette for more details
+
+\dontrun{
+# Either load the object created by previous steps
+data(step2)   ## example output of step2, i.e reduce.space()
+data(step3)   ## example ouput of step3, i.e  parallel.temper()
+step4<-bayes.model.aver(step2=step2, step3=step3, taxon.name.map="pathtoFile/taxon.file")
+
+# or alternatively point to the location of the step2.RData and step3.RData objects
+step4<-bayes.model.aver(step2="pathtoFile/step2.RData", step3="pathtoFile/step3.RData",
+                        taxon.name.map="pathtoFile/taxon.file")
+
+}
+}
+\keyword{bayes.model.aver}
+\keyword{bayes.model.aver.explicit}
+
diff --git a/man/generative.prob.Rd b/man/generative.prob.Rd
new file mode 100644
index 0000000..9d4e32a
--- /dev/null
+++ b/man/generative.prob.Rd
@@ -0,0 +1,58 @@
+% Generated by roxygen2 (4.0.1): do not edit by hand
+\name{generative.prob}
+\alias{generative.prob}
+\alias{generative.prob.nucl}
+\title{Compute generative probabilities from BLAST output}
+\usage{
+generative.prob(blast.output.file = NULL, read.length.file = 80,
+  contig.weight.file = 1, gi.taxon.file = NULL, gen.prob.unknown = 1e-06,
+  outDir = NULL, blast.default = TRUE)
+
+generative.prob.nucl(blast.output.file = NULL, read.length.file = 80,
+  contig.weight.file = 1, gi.taxon.file, gen.prob.unknown = 1e-20,
+  outDir = NULL, genomeLength = NULL, blast.default = TRUE)
+}
+\arguments{
+\item{blast.output.file}{This is the  tabular BLASTx output format for generative.prob(), while it is the tabular BLASTn output format for generative.prob.nucl(). It can either be the default output format or a specific custom output format, incorporating read length and taxon identifier. Please see the vignette for column order and the exact BLAST command to use.}
+
+\item{read.length.file}{This argument can either be a file mapping each read to its length or a numerical value, representing the average read length.}
+
+\item{contig.weight.file}{This argument can either be a file where weights are assigned to reads and contigs. For unassembled reads the weight is equal to 1 while for contigs the weight should reflect the number of reads that assembled it.}
+
+\item{gi.taxon.file}{For generative.prob() this would be the 'gi_taxid_prot.dmp' taxonomy file, mapping each protein gi identifier to the corresponding taxon identifier. It can be downloaded from \url{ftp://ftp.ncbi.nih.gov/pub/taxonomy/gi_taxid_prot.dmp.gz} . For generative.prob.nucl() this would be the 'gi_taxid_nucl.dmp' taxonomy file, mapping each nucleotide gi identifier to the corresponding taxon identifier. It an be downloaded from \url{ftp://ftp.ncbi.nih.gov/pub/taxonomy/gi_taxid [...]
+
+\item{gen.prob.unknown}{User-defined generative probability for unknown category. Default value for generative.prob() is 1e-06, while for generative.prob.nucl() is 1e-20.}
+
+\item{outDir}{Output directory.}
+
+\item{blast.default}{logical. Is the input the default blast output tabular format? Default value is TRUE. That means that the BLAST output file needs to have the following fields:Query id, Subject id, percent identity, alignment length, mismatches, gap openings, query start, query end, subject start, subject end, e-value, bit score.  Alternatively we can use the 'blast.default=FALSE' option, providing a custom blast output that has been produced using the option -outfmt '6 qacc qlen sac [...]
+
+\item{genomeLength}{This is applicable only for generative.prob.nucl() . It is a file mapping each genome/nucleotide to its respective length. The file must be tab seperated and the first column the nucleotide gi identifier (integer) and the second the corresponding sequence length (integer). It will be used to correct the Poisson probabilities between each read and genome.}
+}
+\value{
+step1: A list with five elements. The first one (pij.sparse.mat) is a sparse matrix with the generative probability between each read and each species. The second (ordered.species) is matrix containing all the potential species as recorded by BLAST, ordered by the number of reads. The third one (read.weights) is a data.frame mapping each contig to a weight which is essentially the number of reads that were used to assemble it. For unassembled reads the weight is equal to one. The fourth  [...]
+}
+\description{
+Compute generative probabilities from BLAST output
+
+generative.prob() computes the probability for a read to be generated by a certain species, given that it originates from this species. The input for this function is the tabular BLAST output format, either default or custom. The function uses the recorded mismatches to produce a Poisson probability.
+
+generative.prob.nucl()  for when we have nucleotide similarity, i.e we have performed BLASTn.
+}
+\examples{
+# See vignette for more details
+
+\dontrun{
+# When using custom BLAST output file
+step1 <-generative.prob(blast.output.file = "pathtoFile/blastOut.custom", blast.default=FALSE)
+
+# When using default BLAST output file
+step1 <-generative.prob(blast.output.file = "pathtoFile/blastOut.default",
+                        read.length.file="pathtoFile/read.lengths",
+                        contig.weight.file="pathtoFile/read.weights",
+                        gi.taxon.file = "pathtoFile/taxon.file")
+}
+}
+\keyword{generative.prob}
+\keyword{generative.prob.nucl}
+
diff --git a/man/parallel.temper.Rd b/man/parallel.temper.Rd
new file mode 100644
index 0000000..6a3c41c
--- /dev/null
+++ b/man/parallel.temper.Rd
@@ -0,0 +1,58 @@
+% Generated by roxygen2 (4.0.1): do not edit by hand
+\name{parallel.temper}
+\alias{parallel.temper}
+\alias{parallel.temper.explicit}
+\title{Parallel Tempering MCMC}
+\usage{
+parallel.temper(step2, readSupport = 10, noChains = 12, seed = 1)
+
+parallel.temper.explicit(readSupport = 10, noChains = 12, pij.sparse.mat,
+  read.weights, ordered.species, gen.prob.unknown, outDir, seed = 1)
+}
+\arguments{
+\item{readSupport}{The number of reads the user requires in order to believe in the presence of the species. It is used to compute the penalty factor. The default value is 10. We compute the logarithmic penalty value as the log-likelihood difference between two models: one where all N reads belong to the "unknown"  category and one where r reads have a perfect match to some unspecified species and the remaining reads belong to the "unknown"  category.}
+
+\item{noChains}{The number of parallel chains to run. The default value is 12.}
+
+\item{seed}{Optional argument that sets the random seed (default is 1) to make results reproducible.}
+
+\item{step2}{list. The output from reduce.space(). Alternatively, it can be a character string containing the path name of the ".RData" file  where step2 list was saved.}
+
+\item{pij.sparse.mat}{sparse matrix of generative probabilities, see value of ?reduce.space.}
+
+\item{read.weights}{see ?reduce.space.}
+
+\item{ordered.species}{see ?reduce.space.}
+
+\item{gen.prob.unknown}{see ?reduce.space.}
+
+\item{outDir}{see ?reduce.space.}
+}
+\value{
+step3: A list with two elements. The first one (result) is a list that records MCMC information from each parallel chain.  The second one (duration) records how much time the MCMC exploration took.
+}
+\description{
+Parallel Tempering MCMC
+
+Performs Parallel Tempering MCMC to explore the species state space. Two types of moves are implemented: a mutation step (within chain) and an exchange step (between neighboring chains).  If working with BLASTn data, use parallel.temper.nucl().
+
+parallel.temper.explicit is the same function as parallel.temper but with a more involved syntax.
+}
+\examples{
+## See vignette for more details
+
+\dontrun{
+# Either load the object created by previous step (i.e from function reduce.space() )
+data(step2)   ## example output of reduce.space
+step3<-parallel.temper(step2=step2)
+
+# or alternatively point to the location of the step2.RData object
+step3 <- parallel.temper(step2="/pathtoFile/step2.RData")
+}
+}
+\seealso{
+\code{\link{parallel.temper.nucl}} This function should be used when working with BLASTn data.
+}
+\keyword{parallel.temper}
+\keyword{parallel.temper.explicit}
+
diff --git a/man/parallel.temper.nucl.Rd b/man/parallel.temper.nucl.Rd
new file mode 100644
index 0000000..fbaff5d
--- /dev/null
+++ b/man/parallel.temper.nucl.Rd
@@ -0,0 +1,50 @@
+% Generated by roxygen2 (4.0.1): do not edit by hand
+\name{parallel.temper.nucl}
+\alias{parallel.temper.nucl}
+\alias{parallel.temper.nucl.explicit}
+\title{Parallel Tempering MCMC}
+\usage{
+parallel.temper.nucl(step2, readSupport = 30, noChains = 12, seed = 1,
+  median.genome.length = 284332)
+
+parallel.temper.nucl.explicit(readSupport = 30, noChains = 12,
+  pij.sparse.mat, read.weights, ordered.species, gen.prob.unknown, outDir,
+  seed = 1, median.genome.length = 284332)
+}
+\arguments{
+\item{step2}{list. The output from reduce.space(). Alternatively, it can be a character string containing the path name of the ".RData" file  where step2 list was saved.}
+
+\item{readSupport}{The number of reads the user requires in order to believe in the presence of the species. It is used to compute the penalty factor. The default value  is 30. We compute the logarithmic penalty value as the log-likelihood difference between two models: one where all N reads belong to the "unknown"  category and one where r reads have a perfect match to some unspecified species and the remaining reads belong to the "unknown"  category.}
+
+\item{noChains}{The number of parallel chains to run. The default value is 12.}
+
+\item{seed}{Optional argument that sets the random seed (default is 1) to make results reproducible.}
+
+\item{median.genome.length}{To use in the penalty computation.}
+
+\item{pij.sparse.mat}{sparse matrix of generative probabilities, see value of ?reduce.space.}
+
+\item{read.weights}{see ?reduce.space.}
+
+\item{ordered.species}{see ?reduce.space.}
+
+\item{gen.prob.unknown}{see ?reduce.space.}
+
+\item{outDir}{see ?reduce.space.}
+}
+\value{
+step3: A list with two elements. The first one (result) is a list that records MCMC information from each parallel chain.  The second one (duration) records how much time the MCMC exploration took.
+}
+\description{
+Parallel Tempering MCMC
+
+Performs Parallel Tempering MCMC to explore the species state space. Two types of moves are implemented: a mutation step (within chain) and an exchange step (between neighboring chains). If working with BLASTx data, use parallel.temper().
+
+parallel.temper.nucl.explicit is the same  function as parallel.temper.nucl with a  more involved syntax.
+}
+\seealso{
+\code{\link{parallel.temper}} This function should be used when working with BLASTx data.
+}
+\keyword{parallel.temper.nucl}
+\keyword{parallel.temper.nucl.explicit}
+
diff --git a/man/reduce.space.Rd b/man/reduce.space.Rd
new file mode 100644
index 0000000..266ce20
--- /dev/null
+++ b/man/reduce.space.Rd
@@ -0,0 +1,55 @@
+% Generated by roxygen2 (4.0.1): do not edit by hand
+\name{reduce.space}
+\alias{reduce.space}
+\alias{reduce.space.explicit}
+\title{Reduce the space of potential species by fitting the mixture model with  all potential species as categories}
+\usage{
+reduce.space(step1, read.cutoff = 1, EMiter = 500, seed = 1)
+
+reduce.space.explicit(pij.sparse.mat, ordered.species, read.weights, outDir,
+  gen.prob.unknown, read.cutoff = 1, EMiter = 500, seed = 1)
+}
+\arguments{
+\item{step1}{list. The output from generative.prob() (or generative.prob.nucl(), that is the first step of the pipeline. Alternatively, it can be a character string containing the path name of the ".RData" file where step1 list was saved.}
+
+\item{read.cutoff}{numeric vector. This is the used to decide which species to retain for the subsequent MCMC exploration. Default value is 1, i.e keep all species that have at least one read assigned to them. If this number is still in the low thousands as opposed to the low hundreds the user may set this to a higher number, such as 10.}
+
+\item{EMiter}{Number of iterations for the EM algorithm. Default value is 500.}
+
+\item{seed}{Optional argument that sets the random seed (default is 1) to make results reproducible.}
+
+\item{pij.sparse.mat}{sparse Matrix of generative probabilities computed by generative.prob() /  generative.prob.nucl().}
+
+\item{ordered.species}{data.frame with potential species ordered by numbers of reads matching them. Computed by generative.prob().}
+
+\item{read.weights}{data.frame mapping each read identifier to a weight. For contigs the weight is the number of reads that were used to assemble it. For unassembled reads the weight is equal to one.}
+
+\item{outDir}{character vector holding the path to the output directory where the results are written.}
+
+\item{gen.prob.unknown}{numeric vector. This is the generative probability for the unknown category. Default value for BLASTx-analysis is 1e-06 while for BLASTn-analysis is 1e-20.}
+}
+\value{
+step2: A list with six elements. The first one (ordered.species) is a data.frame containing all the non-empty species categories, as decided by the all inclusive mixture model, ordered by the number of reads assigned to them. The second one (pij.sparse.mat) is a sparse matrix with the generative probability between each read and each species. read.weights, gen.prob.unknown, outDir are all carried forward from the "step1" object. Finally outputEM which records the species abundances throu [...]
+}
+\description{
+Reduce the space of potential species by fitting the mixture model with  all potential species as categories
+
+Having the generative probabilities from step1 (generative.prob() or generative.prob.nucl()), we could proceed directly with the PT MCMC to explore the state space. Typically the number of total potential species is large. Therefore we reduce the size of the state-space, by decreasing the number of species to the low hundreds. We achieve this by fitting a  Mixture Model with as many categories as  all the potential species. Post fitting, we retain only the species categories that are not [...]
+
+reduce.space.explicit is the same function as reduce.space but with more involved syntax.
+}
+\examples{
+## See vignette for more details.
+
+\dontrun{
+# Either load the object created by previous step
+data(step1)  ## example output of step1, i.e generative.prob()
+step2 <- reduce.space(step1=step1)
+
+# or alternatively point to the location of the step1.RData object
+step2 <- reduce.space(step1="/pathtoFile/step1.RData")
+}
+}
+\keyword{reduce.space}
+\keyword{reduce.space.explicit}
+
diff --git a/man/step1.Rd b/man/step1.Rd
new file mode 100644
index 0000000..16dce88
--- /dev/null
+++ b/man/step1.Rd
@@ -0,0 +1,9 @@
+% Generated by roxygen2 (4.0.1): do not edit by hand
+\name{step1}
+\alias{step1}
+\title{Example output of generative.prob() for use in the vignette/examples}
+\format{A list with 5 elements}
+\description{
+Example output of generative.prob() for use in the vignette/examples
+}
+
diff --git a/man/step2.Rd b/man/step2.Rd
new file mode 100644
index 0000000..cd8854c
--- /dev/null
+++ b/man/step2.Rd
@@ -0,0 +1,9 @@
+% Generated by roxygen2 (4.0.1): do not edit by hand
+\name{step2}
+\alias{step2}
+\title{Example output of reduce.space() for use in the vignette/examples}
+\format{A list with 6 elements}
+\description{
+Example output of reduce.space() for use in the vignette/examples
+}
+
diff --git a/man/step3.Rd b/man/step3.Rd
new file mode 100644
index 0000000..a2e7fb4
--- /dev/null
+++ b/man/step3.Rd
@@ -0,0 +1,9 @@
+% Generated by roxygen2 (4.0.1): do not edit by hand
+\name{step3}
+\alias{step3}
+\title{Example output of parallel.temper() for use in the vignette/examples}
+\format{A list with 2 elements}
+\description{
+Example output of parallel.temper() for use in the vignette/examples
+}
+
diff --git a/src/fast_multinom_weight.cpp b/src/fast_multinom_weight.cpp
new file mode 100644
index 0000000..c36392c
--- /dev/null
+++ b/src/fast_multinom_weight.cpp
@@ -0,0 +1,65 @@
+#include<iostream>
+#include<vector>
+#include<string>
+#include <cmath>
+
+#include <Rinternals.h>
+#include <cstdlib>
+#include <sstream>
+#include <Rmath.h>
+#include <R.h>
+
+using namespace std;
+
+extern "C" {
+  SEXP C_rmultinom_weight (const SEXP proba_matrix, const SEXP z_matrix, const SEXP weights);
+}
+
+
+
+SEXP C_rmultinom_weight (const SEXP proba_matrix,  const SEXP z_matrix, const SEXP weights) {
+
+  GetRNGstate();
+  //const unsigned int  Seed = INTEGER(seed)[0];
+  //srand((unsigned)Seed); 
+
+  const double * pmatrix = REAL(proba_matrix);
+  double * zmatrix =  REAL(z_matrix);
+  double * cweights = REAL(weights);
+  const int * dims = INTEGER(getAttrib(proba_matrix, R_DimSymbol));
+
+  int nrow = dims[0];
+  int ncol = dims[1];
+
+  float * norm = new float [ncol];
+  
+  //cout<<"Number of rows "<<nrow<<" and nb of columns "<<ncol<<endl;
+
+  for (int i = 0; i != nrow; i++) {    
+
+    float sum = 0.;
+    for (int j = 0; j != ncol; j++) {
+      norm[ j ] =  pmatrix[ j*nrow + i ]*cweights[ j ];
+      sum += norm[ j ];
+    }
+    
+    //float randN = sum*(rand() / float(RAND_MAX));
+    float randN = sum*unif_rand();
+    
+    int k = 0;
+    float current = norm[ 0 ];   //probability for species 1
+    while (current < randN) {k++;current += norm[ k ];}  //move to the next species in an iterative manner
+
+    //    while (current < randN) {k++;current += norm[ k ]/sum;}  //move to the next species in an iterative manner
+    
+    // now we assign the result to the output matrix
+    for (int j = 0; j != ncol; j++) {
+      if (j == k) {zmatrix[  j*nrow + i ] = 1;} else zmatrix[  j*nrow + i ] = 0;
+    }
+
+  }
+  
+  PutRNGstate();
+  return z_matrix;
+}
+
diff --git a/vignettes/guide.Rnw b/vignettes/guide.Rnw
new file mode 100644
index 0000000..cdc2d32
--- /dev/null
+++ b/vignettes/guide.Rnw
@@ -0,0 +1,355 @@
+%\VignetteEngine{knitr::knitr}
+%\VignetteIndexEntry{metaMix User Guide}
+
+\documentclass[a4paper]{article}
+\usepackage[margin=1.5cm,includefoot,footskip=30pt]{geometry}
+
+\usepackage[colorlinks=true]{hyperref}
+
+
+\usepackage{fullpage}
+
+\title{metaMix user guide}
+\author{Sofia Morfopoulou}
+\date{\today}
+
+
+\begin{document}
+\maketitle
+
+%\tableofcontents
+%\newpage
+
+<<setup, echo=FALSE>>=
+options(tidy=TRUE, width=80)
+@
+
+\section{What is new}
+  \textbf{Version 0.2:} Added Bayes Factor computation.
+
+\section{Installation}
+
+You will need to have openMPI (Message Passage Interface) installed to be able to install the R package \verb!Rmpi!, which provides the interface to openMPI. 
+\verb!Rmpi! is one of the package dependencies, along with \verb!data.table!, \verb!Matrix!, \verb!gtools! and \verb!ggplot2!.
+You can check whether you have openMPI installed using the command \verb!mpirun! and you can find more information here:\\
+\url{http://www.open-mpi.org/software/ompi}
+
+
+
+\section{Introduction}
+
+metaMix is a tool designed to identify the set of species most likely to be present in a metagenomic community.   
+metaMix also estimates their relative abundances  and resolves ambiguous assignments by considering all reads simultaneously.
+
+metaMix considers the competing  models that could accommodate our observed data, i.e the BLASTx results and compares them. 
+The different mixture models represent different sets of species being present in the sample. 
+The method is structured in the following manner: in the first instance we assume that a set of species is present in the sample and we estimate the parameters given the data. 
+At the next step, we randomly add or remove a species and fit this new model. 
+The process is iterated in order to explore the model state space and we record the MCMC choices over time.
+Additionally we parallelise the process, running $n$ (usually 12) parallel chains, allowing exchange of information between them.
+Using this Bayesian Mixture Model framework, we finally perform model averaging in order to account for model uncertainty.
+
+The initial motivation for developing metaMix was  the analysis of deep transcriptome sequencing datasets, with a particular focus on viral pathogen detection.
+However the ideas are applicable more generally to all types of metagenomics mixtures.
+
+Some bionformatics processing is required prior to using metaMix.  
+This is usually filtering out the low quality, duplicate and host reads. 
+The user may wish to attempt some assembly step as well prior to resolving the mixture; however this step is not necessary. 
+More importantly, the similarities between the short reads (and/or contigs) and a reference database must be provided.   
+At the end of the analysis, the user will obtain a probabilistic summary of present species and some supporting plots.
+
+
+The  implementation of the ideas described here is computationally intensive and requires a supercomputer. 
+However for the purposes of this tutorial, we demonstrate the usage on a toy example and all the steps can be performed on a single machine.
+
+
+%\newpage
+
+\section{Tutorial}
+\subsection*{Step1}
+The work described here is similarity-based, therefore the starting point is to  obtain the sequence similarity between a query and a target sequence.
+The obvious choice for this is BLAST. 
+Both nucleotide and amino acid similarities are supported. 
+We  demonstrate the use of metaMix working with the latter, i.e we have used BLASTx.
+
+\begin{description}
+\item[Default BLAST output] 
+
+The default output tabular file is supported,  obtained using \verb!-outfmt 6! in the BLAST command.
+
+<<engine='bash', eval=FALSE, echo=TRUE>>=
+  blastx -db referenceDB -query input.fa  -outfmt 6  -max_target_seqs 10
+@ 
+
+
+The default output file has the following fields:\\
+\verb!Query ID!, \verb!Subject ID!, \verb!% Identity!, \verb!Alignment Length!, \verb!Mismatches!, \verb!Gap Openings!, \verb!Query Start!, \verb!Query End!, \verb!Subject Start!, \verb!Subject End!, \verb!E-value!, \verb!Bit Score!.
+
+
+<<echo=TRUE, eval=TRUE>>=
+library(metaMix)
+###Location of input files.
+datapath <- system.file("extdata", package="metaMix")
+blastOut.default<-file.path(datapath, "blastOut_default.tab")
+read.table(blastOut.default, nrows=2, sep="\t")
+@ 
+
+metaMix needs information on the read lengths as well as a file mapping the gi identifiers to the taxon identifiers. These are not included in the default output of BLAST, therefore should be provided as additional arguments.
+
+<<echo=TRUE, eval=TRUE>>=
+read.lengths<-file.path(datapath, "read_lengths.tab")
+read.weights<-file.path(datapath, "read_weights.tab")
+taxon.file<-file.path(datapath, "gi_taxid_prot_example.dmp")
+
+read.table(read.lengths, nrows=2, sep="\t")
+read.table(read.weights, nrows=2, sep="\t")
+read.table(taxon.file, nrows=2, sep="\t")
+@ 
+
+
+\item[Custom BLAST output] 
+
+Alternatively, metaMix accepts a custom BLAST output file that has already incorporated the read lengths and the taxon identifiers.
+At the moment, only the output that is produced by the following command is supported:
+
+<<engine='bash', eval=FALSE, echo=TRUE>>=
+    blastx -db referenceDB -query input.fa -max_target_seqs 10
+  -outfmt "6 qacc qlen sacc slen mismatch bitscore length pident evalue staxids"
+@ 
+
+Therefore the fields are \\ \verb!Query ID!, \verb!Query Length!, \verb!Subject ID!, \verb!Subject Length!, \verb!Mismatches!,   \verb!Bit Score!,  \verb!Alignment Length!, \verb!%Identity!,  \verb!E-value!, \verb!Taxon ID!.
+
+<<echo=TRUE, eval=TRUE>>=
+blastOut.custom<-file.path(datapath, "blastOut_custom.tab")
+read.table(blastOut.custom, nrows=2, sep="\t")
+@ 
+\end{description} \vspace{5mm}
+The first step in the analysis is to compute the read-species generative probabilities based on  the BLASTx data. 
+We achieve this by using the \verb!generative.prob()! function. 
+In this instance we will work with the custom BLAST output file.
+
+  
+<<echo=TRUE>>=
+  step1 <-generative.prob(blast.output.file = blastOut.custom,
+                          contig.weight.file=read.weights,
+                          blast.default=FALSE,
+                          outDir=NULL)
+@ 
+
+where \verb!blast.default! denotes whether we are working with the BLAST default output (TRUE) or with the specified above custom output (FALSE). 
+
+\verb!blast.output.file! is the  tabular BLASTx output file. 
+
+If we are working with unassembled reads, we can omit the argument \verb!contig.weight.file! as the weight is set by default to be 1, same for all reads. 
+However if an assembly step has been performed, as in this example, we need to provide information on the number of reads that make up each contig.   
+This will be a two column tab-separated file, where the first column is  the contig identifier and the second the number of reads. 
+
+Finally \verb!outDir! is the  directory where the results are written and where an object from each step is saved. When it is set to NULL no objects will be saved. 
+
+\vspace{3mm}
+\emph{NOTE}: If we were using the default BLAST output the command would look like so:  
+
+<<echo=TRUE, eval=FALSE>>=
+step1 <-generative.prob(blast.output.file = blastOut.default,
+                        read.length.file=read.lengths,
+                        contig.weight.file=read.weights,
+                        gi.taxon.file = taxon.file,
+                        blast.default=TRUE,
+                        outDir=NULL)
+@ 
+
+The information missing from the BLAST file is now provided with two extra arguments:
+\verb!read.length.file! can be either the file mapping each read to its sequence length or a numerical value, representing the average read length (default value=100).
+
+\verb!'gi_taxid_prot.dmp'!  is a taxonomy file, mapping each protein gi identifier to the corresponding taxon identifier.  
+It can  be downloaded from \\ \url{ftp://ftp.ncbi.nih.gov/pub/taxonomy/gi_taxid_prot.dmp.gz}  \\
+
+
+
+The function \verb!generative.prob! creates a list of five elements. 
+One of these is a sparse matrix \verb!pij.sparse.mat! where each row corresponds to one read and each column to a species. The value of the cell is the generative probability $p_{ij}$.  
+Additionally a \verb!data.frame! with all the species that correspond to the proteins in the BLASTx output file.
+Finally the \verb!read.weights!, \verb!gen.prob.unknown! and \verb!outDir! are the other three elements of the list \verb!step1!,  carried forward to be used in the second step.
+
+
+<<echo=TRUE>>=
+###The resulting list consists of five elements
+names(step1)
+
+### The sparse matrix of generative probs. 
+step1$pij.sparse.mat[1:5,c("374840",  "258", "unknown")]
+
+### There are that many potential species in the sample:
+nrow(step1$ordered.species)
+@
+
+\subsection*{Step2}
+Having the generative probabilities from the previous step (generative.prob), we could proceed directly with the PT MCMC to explore the state space. 
+However, typically the number of all potential species $S$ is large.  We are therefore interested in reducing the size of the species pool, from the thousands to the low hundreds. 
+
+In this simple example we have only 224  organisms but still we  attempt to reduce it for demonstrating the usage of the function.
+We achieve this by fitting a mixture model with 224 categories, considering all 224 potential species simultaneously. 
+Post fitting, we retain only the species categories that are not empty, that is the categories that have at least one read assigned to them.
+The required argument is simply the list created in the first step, i.e using the \verb!generative.prob! function. 
+
+
+<<echo=TRUE, eval=FALSE>>=
+step2 <- reduce.space(step1=step1)
+@ 
+
+Alternatively, if the list created in the first step was saved in a ``step1.RData'' file,  a character string containing the path to the file could be provided, i.e
+
+<<echo=TRUE, eval=FALSE>>=
+step2 <- reduce.space(step1="/pathtoFile/step1.RData")
+@ 
+
+
+To speed up computations, we have already performed step2 and saved the output which we will now load:
+
+<<echo=FALSE, eval=TRUE>>=
+data(step2)
+@
+
+
+<<echo=TRUE>>=
+##These are the elements of the step2 list.
+names(step2)
+
+## After this approximating step, there are now that many potential species in
+##the sample:
+nrow(step2$ordered.species)
+
+## And these are:
+step2$ordered.species
+@ 
+ 
+We see that even though we started with  224 potential organisms, we reduced the species space  to 7. 
+Bear in mind that this a simple example and the usual scenario is to move from  thousands of species to  hundreds.
+
+
+\subsection*{Step3}
+  In this step, the different models are considered and compared.
+The space exploration by the parallel tempering MCMC is implemented by the function \verb!parallel.temper!:
+
+
+<<echo=TRUE, eval=FALSE>>=
+step3<-parallel.temper(step2=step2)
+@ 
+
+The required argument is simply the list created in the second step (or the character string containing the path to the respective .RData file where the step2 list was saved to), i.e using the \verb!reduce.space! function.
+
+An important optional argument of this function is \verb!readSupport!. 
+For the type of data we analyse (i.e from mostly sterile human tissues) we expect that parsimonious models with a limited number of species are more likely. 
+Therefore our default model prior uses a penalty limiting the number of species in the model.
+We approximate this penalty factor based on \verb!readSupport!, which represents the species read support required from the user in order to believe in the presence of a species in the sample.
+The default value is 10 and it is suitable for when we want to detect rare signal. 
+We have found this value to work well in most human RNA-seq datasets.
+
+Same as before, we have already performed step3 and saved the output which we  now load:
+
+
+<<echo=FALSE, eval= TRUE >>=
+data(step3)
+@ 
+
+<<echo=TRUE>>=
+##These are the elements of the step3 list.
+names(step3)
+@ 
+
+<<echo=TRUE>>=
+## Steps MCMC took during some iterations.
+step3$result$slave1$record[10:15,]
+@ 
+
+For each parallel chain, the MCMC trajectory has been recorded.
+There is information on what steps were proposed, which were accepted or rejected throughout the iterations. 
+For example at iteration 10, removing species 645687 was proposed but not accepted, as denoted by the 1 in the column 645687.
+
+We can also see that between iterations 13 and 14 an exchange of the sets of species between Chain 1 and Chain 2 occurred.  
+At iter. 13 species 2 was present, while at the next one, it no longer is there. That means that the attempt at swapping the values of the two neighboring chains was successful. 
+This information is also recorded, i.e how many swaps were attempted and how many accepted.
+
+\subsection*{Step4}
+
+ Having explored the different possible models, the final step is to perform  model averaging. 
+We study the MCMC choices for Chain 1 and produce a probabilistic summary for the presence of the species.
+  
+<<echo=TRUE>>=
+## Location of the taxonomy names file.
+taxon.file<-file.path(datapath, "names_example.dmp")
+
+step4<-bayes.model.aver(step2=step2,
+                        step3=step3,
+                        taxon.name.map=taxon.file)
+			@
+ 
+The required arguments are the lists created in the second and third steps, i.e using the \verb!reduce.space! and the \verb!parallel.temper! functions.
+Additionally the taxonomy names file 'names.dmp', which can be downloaded and extracted from \url{ftp://ftp.ncbi.nih.gov/pub/taxonomy/taxdump.tar.gz}
+
+<<echo=TRUE>>=
+##These are the elements of the step4 list.
+names(step4)
+
+##This is the species summary
+print(step4$presentSpecies.allInfo)
+@
+
+We find four species with a posterior probability greater than 0.9 (default value), plus the unknown category.
+
+Finally we also produce log-likelihood traceplots for Chain 1.
+We discard the first 20\% of the iterations as burn-in and we look at the mixing of the chain.
+
+Due to having very few iterations for this toy example, the produced traceplot would not be representative or insightful. 
+Instead we present below the log-likelihood traceplot from a real dataset.
+
+
+<<echo=FALSE, eval=TRUE, out.width='.6\\linewidth', out.height='.6\\linewidth', fig.align='center'>>=
+PTastro<-file.path(datapath, "PT_plots.RData")
+load(PTastro)
+nIter<- length(PTresult$result$slave1$record[,'logL'])
+plot(PTresult$result$slave1$record[(nIter/5):nIter,'logL'], type='l', col='dodgerblue', xlab='Last 80% of iterations', ylab='Log-likelihood', main='Parallel Tempering - Coldest Chain', lwd=1.5)
+
+@
+ 
+
+\section{Submit jobs on cluster compute servers}
+In order to run steps 1, 2 and 4 of metaMix (i.e \verb!generative.prob!, \verb!reduce.space!, \verb!bayes.model.aver!) efficiently, these should be submitted as jobs to a compute cluster. 
+In our experience,  4G of memory, 1 hour of wall clock time and 1 processor should be plenty.
+
+In order to run the parallel tempering efficiently,  we need at least 12 parallel chains, each with at least 1G-2G of RAM. 
+The wall clock time depends on how many iterations will be performed. 
+Also a larger number of reads mean that the computations will become slower. 
+We typically ask for 12 hours to be on the safe side.
+
+
+
+This is a sample submission script for the third step.
+It requests 12 processors on 1 node for 12 hours.
+
+\begin{verbatim}
+#!/bin/bash
+#$ -S /bin/bash
+#$ -o cluster/out
+#$ -e cluster/error
+#$ -cwd
+#$ -pe smp 12
+#$ -l tmem=1.1G,h_vmem=1.1G
+#$ -l h_rt=12:00:00
+#$ -V
+#$ -R y
+
+mpirun -np 1 R-3.0.1/bin/R --slave CMD BATCH --no-save --no-restore step3.R
+\end{verbatim}
+
+in step3.R,  we simply load the object produced from \verb!reduce.space! and then call \verb!generative.prob!.
+Each chain will produce a log file that will be printed in your working directory
+
+
+\section{Technical information about the R session}
+
+<<echo=TRUE>>=
+sessionInfo()
+@ 
+
+\end{document}
diff --git a/vignettes/guide.Rnw.bck b/vignettes/guide.Rnw.bck
new file mode 100644
index 0000000..29b5aeb
--- /dev/null
+++ b/vignettes/guide.Rnw.bck
@@ -0,0 +1,353 @@
+%\VignetteEngine{knitr::knitr}
+%\VignetteIndexEntry{metaMix User Guide}
+
+\documentclass[a4paper]{article}
+\usepackage[margin=1.5cm,includefoot,footskip=30pt]{geometry}
+
+\usepackage[colorlinks=true]{hyperref}
+
+
+\usepackage{fullpage}
+
+\title{metaMix user guide}
+\author{Sofia Morfopoulou}
+\date{\today}
+
+
+\begin{document}
+\maketitle
+
+%\tableofcontents
+%\newpage
+
+<<setup, echo=FALSE>>=
+options(tidy=TRUE, width=80)
+@
+
+
+\section{Installation}
+
+You will need to have openMPI (Message Passage Interface) installed to be able to install the R package \verb!Rmpi!, which provides the interface to openMPI. 
+\verb!Rmpi! is one of the package dependencies, along with \verb!data.table!, \verb!Matrix!, \verb!gtools! and \verb!ggplot2!.
+You can check whether you have openMPI installed using the command \verb!mpirun! and you can find more information here:\\
+\url{http://www.open-mpi.org/software/ompi}
+
+
+
+\section{Introduction}
+
+metaMix is a tool designed to identify the set of species most likely to be present in a metagenomic community.   
+metaMix also estimates their relative abundances  and resolves ambiguous assignments by considering all reads simultaneously.
+
+metaMix considers the competing  models that could accommodate our observed data, i.e the BLASTx results and compares them. 
+The different mixture models represent different sets of species being present in the sample. 
+The method is structured in the following manner: in the first instance we assume that a set of species is present in the sample and we estimate the parameters given the data. 
+At the next step, we randomly add or remove a species and fit this new model. 
+The process is iterated in order to explore the model state space and we record the MCMC choices over time.
+Additionally we parallelise the process, running $n$ (usually 12) parallel chains, allowing exchange of information between them.
+Using this Bayesian Mixture Model framework, we finally perform model averaging in order to account for model uncertainty.
+
+The initial motivation for developing metaMix was  the analysis of deep transcriptome sequencing datasets, with a particular focus on viral pathogen detection.
+However the ideas are applicable more generally to all types of metagenomics mixtures.
+
+Some bionformatics processing is required prior to using metaMix.  
+This is usually filtering out the low quality, duplicate and host reads. 
+The user may wish to attempt some assembly step as well prior to resolving the mixture; however this step is not necessary. 
+More importantly, the similarities between the short reads (and/or contigs) and a reference database must be provided.   
+At the end of the analysis, the user will obtain a probabilistic summary of present species and some supporting plots.
+
+
+The  implementation of the ideas described here is computationally intensive and requires a supercomputer. 
+However for the purposes of this tutorial, we demonstrate the usage on a toy example and all the steps can be performed on a single machine.
+
+
+%\newpage
+
+\section{Tutorial}
+\subsection*{Step1}
+The work described here is similarity-based, therefore the starting point is to  obtain the sequence similarity between a query and a target sequence.
+The obvious choice for this is BLAST. 
+Both nucleotide and amino acid similarities are supported. 
+We  demonstrate the use of metaMix working with the latter, i.e we have used BLASTx.
+
+\begin{description}
+\item[Default BLAST output] 
+
+The default output tabular file is supported,  obtained using \verb!-outfmt 6! in the BLAST command.
+
+<<engine='bash', eval=FALSE, echo=TRUE>>=
+  blastx -db referenceDB -query input.fa  -outfmt 6  -max_target_seqs 10
+@ 
+
+
+The default output file has the following fields:\\
+\verb!Query ID!, \verb!Subject ID!, \verb!% Identity!, \verb!Alignment Length!, \verb!Mismatches!, \verb!Gap Openings!, \verb!Query Start!, \verb!Query End!, \verb!Subject Start!, \verb!Subject End!, \verb!E-value!, \verb!Bit Score!.
+
+
+<<echo=TRUE, eval=TRUE>>=
+library(metaMix)
+###Location of input files.
+datapath <- system.file("extdata", package="metaMix")
+blastOut.default<-file.path(datapath, "blastOut_default.tab")
+read.table(blastOut.default, nrows=2, sep="\t")
+@ 
+
+metaMix needs information on the read lengths as well as a file mapping the gi identifiers to the taxon identifiers. These are not included in the default output of BLAST, therefore should be provided as additional arguments.
+
+<<echo=TRUE, eval=TRUE>>=
+read.lengths<-file.path(datapath, "read_lengths.tab")
+read.weights<-file.path(datapath, "read_weights.tab")
+taxon.file<-file.path(datapath, "gi_taxid_prot_example.dmp")
+
+read.table(read.lengths, nrows=2, sep="\t")
+read.table(read.weights, nrows=2, sep="\t")
+read.table(taxon.file, nrows=2, sep="\t")
+@ 
+
+
+\item[Custom BLAST output] 
+
+Alternatively, metaMix accepts a custom BLAST output file that has already incorporated the read lengths and the taxon identifiers.
+At the moment, only the output that is produced by the following command is supported:
+
+<<engine='bash', eval=FALSE, echo=TRUE>>=
+    blastx -db referenceDB -query input.fa -max_target_seqs 10
+  -outfmt "6 qacc qlen sacc slen mismatch bitscore length pident evalue staxids"
+@ 
+
+Therefore the fields are \\ \verb!Query ID!, \verb!Query Length!, \verb!Subject ID!, \verb!Subject Length!, \verb!Mismatches!,   \verb!Bit Score!,  \verb!Alignment Length!, \verb!%Identity!,  \verb!E-value!, \verb!Taxon ID!.
+
+<<echo=TRUE, eval=TRUE>>=
+blastOut.custom<-file.path(datapath, "blastOut_custom.tab")
+read.table(blastOut.custom, nrows=2, sep="\t")
+@ 
+\end{description} \vspace{5mm}
+The first step in the analysis is to compute the read-species generative probabilities based on  the BLASTx data. 
+We achieve this by using the \verb!generative.prob()! function. 
+In this instance we will work with the custom BLAST output file.
+
+  
+<<echo=TRUE>>=
+  step1 <-generative.prob(blast.output.file = blastOut.custom,
+                          contig.weight.file=read.weights,
+                          blast.default=FALSE,
+                          outDir=NULL)
+@ 
+
+where \verb!blast.default! denotes whether we are working with the BLAST default output (TRUE) or with the specified above custom output (FALSE). 
+
+\verb!blast.output.file! is the  tabular BLASTx output file. 
+
+If we are working with unassembled reads, we can omit the argument \verb!contig.weight.file! as the weight is set by default to be 1, same for all reads. 
+However if an assembly step has been performed, as in this example, we need to provide information on the number of reads that make up each contig.   
+This will be a two column tab-separated file, where the first column is  the contig identifier and the second the number of reads. 
+
+Finally \verb!outDir! is the  directory where the results are written and where an object from each step is saved. When it is set to NULL no objects will be saved. 
+
+\vspace{3mm}
+\emph{NOTE}: If we were using the default BLAST output the command would look like so:  
+
+<<echo=TRUE, eval=FALSE>>=
+step1 <-generative.prob(blast.output.file = blastOut.default,
+                        read.length.file=read.lengths,
+                        contig.weight.file=read.weights,
+                        gi.taxon.file = taxon.file,
+                        blast.default=TRUE,
+                        outDir=NULL)
+@ 
+
+The information missing from the BLAST file is now provided with two extra arguments:
+\verb!read.length.file! can be either the file mapping each read to its sequence length or a numerical value, representing the average read length (default value=100).
+
+\verb!'gi_taxid_prot.dmp'!  is a taxonomy file, mapping each protein gi identifier to the corresponding taxon identifier.  
+It can  be downloaded from \\ \url{ftp://ftp.ncbi.nih.gov/pub/taxonomy/gi_taxid_prot.dmp.gz}  \\
+
+
+
+The function \verb!generative.prob! creates a list of five elements. 
+One of these is a sparse matrix \verb!pij.sparse.mat! where each row corresponds to one read and each column to a species. The value of the cell is the generative probability $p_{ij}$.  
+Additionally a \verb!data.frame! with all the species that correspond to the proteins in the BLASTx output file.
+Finally the \verb!read.weights!, \verb!gen.prob.unknown! and \verb!outDir! are the other three elements of the list \verb!step1!,  carried forward to be used in the second step.
+
+
+<<echo=TRUE>>=
+###The resulting list consists of five elements
+names(step1)
+
+### The sparse matrix of generative probs. 
+step1$pij.sparse.mat[1:5,c("374840",  "258", "unknown")]
+
+### There are that many potential species in the sample:
+nrow(step1$ordered.species)
+@
+
+\subsection*{Step2}
+Having the generative probabilities from the previous step (generative.prob), we could proceed directly with the PT MCMC to explore the state space. 
+However, typically the number of all potential species $S$ is large.  We are therefore interested in reducing the size of the species pool, from the thousands to the low hundreds. 
+
+In this simple example we have only 224  organisms but still we  attempt to reduce it for demonstrating the usage of the function.
+We achieve this by fitting a mixture model with 224 categories, considering all 224 potential species simultaneously. 
+Post fitting, we retain only the species categories that are not empty, that is the categories that have at least one read assigned to them.
+The required argument is simply the list created in the first step, i.e using the \verb!generative.prob! function. 
+
+
+<<echo=TRUE, eval=FALSE>>=
+step2 <- reduce.space(step1=step1)
+@ 
+
+Alternatively, if the list created in the first step was saved in a ``step1.RData'' file,  a character string containing the path to the file could be provided, i.e
+
+<<echo=TRUE, eval=FALSE>>=
+step2 <- reduce.space(step1="/pathtoFile/step1.RData")
+@ 
+
+
+To speed up computations, we have already performed step2 and saved the output which we will now load:
+
+<<echo=FALSE, eval=TRUE>>=
+data(step2)
+@
+
+
+<<echo=TRUE>>=
+##These are the elements of the step2 list.
+names(step2)
+
+## After this approximating step, there are now that many potential species in
+##the sample:
+nrow(step2$ordered.species)
+
+## And these are:
+step2$ordered.species
+@ 
+ 
+We see that even though we started with  224 potential organisms, we reduced the species space  to 7. 
+Bear in mind that this a simple example and the usual scenario is to move from  thousands of species to  hundreds.
+
+
+\subsection*{Step3}
+  In this step, the different models are considered and compared.
+The space exploration by the parallel tempering MCMC is implemented by the function \verb!parallel.temper!:
+
+
+<<echo=TRUE, eval=FALSE>>=
+step3<-parallel.temper(step2=step2)
+@ 
+
+The required argument is simply the list created in the second step (or the character string containing the path to the respective .RData file where the step2 list was saved to), i.e using the \verb!reduce.space! function.
+
+An important optional argument of this function is \verb!readSupport!. 
+For the type of data we analyse (i.e from mostly sterile human tissues) we expect that parsimonious models with a limited number of species are more likely. 
+Therefore our default model prior uses a penalty limiting the number of species in the model.
+We approximate this penalty factor based on \verb!readSupport!, which represents the species read support required from the user in order to believe in the presence of a species in the sample.
+The default value is 10 and it is suitable for when we want to detect rare signal. 
+We have found this value to work well in most human RNA-seq datasets.
+
+Same as before, we have already performed step3 and saved the output which we  now load:
+
+
+<<echo=FALSE, eval= TRUE >>=
+data(step3)
+@ 
+
+<<echo=TRUE>>=
+##These are the elements of the step3 list.
+names(step3)
+@ 
+
+<<echo=TRUE>>=
+## Steps MCMC took during some iterations.
+step3$result$slave1$record[10:15,]
+@ 
+
+For each parallel chain, the MCMC trajectory has been recorded.
+There is information on what steps were proposed, which were accepted or rejected throughout the iterations. 
+For example at iteration 10, removing species 645687 was proposed but not accepted, as denoted by the 1 in the column 645687.
+
+We can also see that between iterations 13 and 14 an exchange of the sets of species between Chain 1 and Chain 2 occurred.  
+At iter. 13 species 2 was present, while at the next one, it no longer is there. That means that the attempt at swapping the values of the two neighboring chains was successful. 
+This information is also recorded, i.e how many swaps were attempted and how many accepted.
+
+\subsection*{Step4}
+
+ Having explored the different possible models, the final step is to perform  model averaging. 
+We study the MCMC choices for Chain 1 and produce a probabilistic summary for the presence of the species.
+  
+<<echo=TRUE>>=
+## Location of the taxonomy names file.
+taxon.file<-file.path(datapath, "names_example.dmp")
+
+step4<-bayes.model.aver(step2=step2,
+                        step3=step3,
+                        taxon.name.map=taxon.file)
+			@
+ 
+The required arguments are the lists created in the second and third steps, i.e using the \verb!reduce.space! and the \verb!parallel.temper! functions.
+Additionally the taxonomy names file 'names.dmp', which can be downloaded and extracted from \url{ftp://ftp.ncbi.nih.gov/pub/taxonomy/taxdump.tar.gz}
+
+<<echo=TRUE>>=
+##These are the elements of the step4 list.
+names(step4)
+
+##This is the species summary
+print(step4$presentSpecies.allInfo)
+@
+
+We find four species with a posterior probability greater than 0.9 (default value), plus the unknown category.
+
+Finally we also produce log-likelihood traceplots for Chain 1.
+We discard the first 20\% of the iterations as burn-in and we look at the mixing of the chain.
+
+Due to having very few iterations for this toy example, the produced traceplot would not be representative or insightful. 
+Instead we present below the log-likelihood traceplot from a real dataset.
+
+
+<<echo=FALSE, eval=TRUE, out.width='.6\\linewidth', out.height='.6\\linewidth', fig.align='center'>>=
+PTastro<-file.path(datapath, "PT_plots.RData")
+load(PTastro)
+nIter<- length(PTresult$result$slave1$record[,'logL'])
+plot(PTresult$result$slave1$record[(nIter/5):nIter,'logL'], type='l', col='dodgerblue', xlab='Last 80% of iterations', ylab='Log-likelihood', main='Parallel Tempering - Coldest Chain', lwd=1.5)
+
+@
+ 
+
+\section{Submit jobs on cluster compute servers}
+In order to run steps 1, 2 and 4 of metaMix (i.e \verb!generative.prob!, \verb!reduce.space!, \verb!bayes.model.aver!) efficiently, these should be submitted as jobs to a compute cluster. 
+In our experience,  4G of memory, 1 hour of wall clock time and 1 processor should be plenty.
+
+In order to run the parallel tempering efficiently,  we need at least 12 parallel chains, each with at least 1G-2G of RAM. 
+The wall clock time depends on how many iterations will be performed. 
+Also a larger number of reads mean that the computations will become slower. 
+We typically ask for 12 hours to be on the safe side.
+
+
+
+This is a sample submission script for the third step.
+It requests 12 processors on 1 node for 12 hours.
+
+\begin{verbatim}
+#!/bin/bash
+#$ -S /bin/bash
+#$ -o cluster/out
+#$ -e cluster/error
+#$ -cwd
+#$ -pe smp 12
+#$ -l tmem=1.1G,h_vmem=1.1G
+#$ -l h_rt=12:00:00
+#$ -V
+#$ -R y
+
+mpirun -np 1 R-3.0.1/bin/R --slave CMD BATCH --no-save --no-restore step3.R
+\end{verbatim}
+
+in step3.R,  we simply load the object produced from \verb!reduce.space! and then call \verb!generative.prob!.
+Each chain will produce a log file that will be printed in your working directory
+
+
+\section{Technical information about the R session}
+
+<<echo=TRUE>>=
+sessionInfo()
+@ 
+
+\end{document}

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