An empirical strategy for characterizing bacterial proteomes across species in the absence of genomic sequences.

Global protein identification through current proteomics methods typically depends on the availability of sequenced genomes. In spite of increasingly high throughput sequencing technologies, this information is not available for every microorganism and rarely available for entire microbial communiti...

Full description

Bibliographic Details
Main Authors: Joshua E Turse, Matthew J Marshall, James K Fredrickson, Mary S Lipton, Stephen J Callister
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2010-11-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC2980473?pdf=render
id doaj-3a2f0d9bf4dd49ecb340a53113ef8fac
record_format Article
spelling doaj-3a2f0d9bf4dd49ecb340a53113ef8fac2020-11-25T01:44:30ZengPublic Library of Science (PLoS)PLoS ONE1932-62032010-11-01511e1396810.1371/journal.pone.0013968An empirical strategy for characterizing bacterial proteomes across species in the absence of genomic sequences.Joshua E TurseMatthew J MarshallJames K FredricksonMary S LiptonStephen J CallisterGlobal protein identification through current proteomics methods typically depends on the availability of sequenced genomes. In spite of increasingly high throughput sequencing technologies, this information is not available for every microorganism and rarely available for entire microbial communities. Nevertheless, the protein-level homology that exists between related bacteria makes it possible to extract biological information from the proteome of an organism or microbial community by using the genomic sequences of a near neighbor organism. Here, we demonstrate a trans-organism search strategy for determining the extent to which near-neighbor genome sequences can be applied to identify proteins in unsequenced environmental isolates. In proof of concept testing, we found that within a CLUSTAL W distance of 0.089, near-neighbor genomes successfully identified a high percentage of proteins within an organism. Application of this strategy to characterize environmental bacterial isolates lacking sequenced genomes, but having 16S rDNA sequence similarity to Shewanella resulted in the identification of 300-500 proteins in each strain. The majority of identified pathways mapped to core processes, as well as to processes unique to the Shewanellae, in particular to the presence of c-type cytochromes. Examples of core functional categories include energy metabolism, protein and nucleotide synthesis and cofactor biosynthesis, allowing classification of bacteria by observation of conserved processes. Additionally, within these core functionalities, we observed proteins involved in the alternative lactate utilization pathway, recently described in Shewanella.http://europepmc.org/articles/PMC2980473?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Joshua E Turse
Matthew J Marshall
James K Fredrickson
Mary S Lipton
Stephen J Callister
spellingShingle Joshua E Turse
Matthew J Marshall
James K Fredrickson
Mary S Lipton
Stephen J Callister
An empirical strategy for characterizing bacterial proteomes across species in the absence of genomic sequences.
PLoS ONE
author_facet Joshua E Turse
Matthew J Marshall
James K Fredrickson
Mary S Lipton
Stephen J Callister
author_sort Joshua E Turse
title An empirical strategy for characterizing bacterial proteomes across species in the absence of genomic sequences.
title_short An empirical strategy for characterizing bacterial proteomes across species in the absence of genomic sequences.
title_full An empirical strategy for characterizing bacterial proteomes across species in the absence of genomic sequences.
title_fullStr An empirical strategy for characterizing bacterial proteomes across species in the absence of genomic sequences.
title_full_unstemmed An empirical strategy for characterizing bacterial proteomes across species in the absence of genomic sequences.
title_sort empirical strategy for characterizing bacterial proteomes across species in the absence of genomic sequences.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2010-11-01
description Global protein identification through current proteomics methods typically depends on the availability of sequenced genomes. In spite of increasingly high throughput sequencing technologies, this information is not available for every microorganism and rarely available for entire microbial communities. Nevertheless, the protein-level homology that exists between related bacteria makes it possible to extract biological information from the proteome of an organism or microbial community by using the genomic sequences of a near neighbor organism. Here, we demonstrate a trans-organism search strategy for determining the extent to which near-neighbor genome sequences can be applied to identify proteins in unsequenced environmental isolates. In proof of concept testing, we found that within a CLUSTAL W distance of 0.089, near-neighbor genomes successfully identified a high percentage of proteins within an organism. Application of this strategy to characterize environmental bacterial isolates lacking sequenced genomes, but having 16S rDNA sequence similarity to Shewanella resulted in the identification of 300-500 proteins in each strain. The majority of identified pathways mapped to core processes, as well as to processes unique to the Shewanellae, in particular to the presence of c-type cytochromes. Examples of core functional categories include energy metabolism, protein and nucleotide synthesis and cofactor biosynthesis, allowing classification of bacteria by observation of conserved processes. Additionally, within these core functionalities, we observed proteins involved in the alternative lactate utilization pathway, recently described in Shewanella.
url http://europepmc.org/articles/PMC2980473?pdf=render
work_keys_str_mv AT joshuaeturse anempiricalstrategyforcharacterizingbacterialproteomesacrossspeciesintheabsenceofgenomicsequences
AT matthewjmarshall anempiricalstrategyforcharacterizingbacterialproteomesacrossspeciesintheabsenceofgenomicsequences
AT jameskfredrickson anempiricalstrategyforcharacterizingbacterialproteomesacrossspeciesintheabsenceofgenomicsequences
AT maryslipton anempiricalstrategyforcharacterizingbacterialproteomesacrossspeciesintheabsenceofgenomicsequences
AT stephenjcallister anempiricalstrategyforcharacterizingbacterialproteomesacrossspeciesintheabsenceofgenomicsequences
AT joshuaeturse empiricalstrategyforcharacterizingbacterialproteomesacrossspeciesintheabsenceofgenomicsequences
AT matthewjmarshall empiricalstrategyforcharacterizingbacterialproteomesacrossspeciesintheabsenceofgenomicsequences
AT jameskfredrickson empiricalstrategyforcharacterizingbacterialproteomesacrossspeciesintheabsenceofgenomicsequences
AT maryslipton empiricalstrategyforcharacterizingbacterialproteomesacrossspeciesintheabsenceofgenomicsequences
AT stephenjcallister empiricalstrategyforcharacterizingbacterialproteomesacrossspeciesintheabsenceofgenomicsequences
_version_ 1725028284029206528