Literature DB >> 17344860

Strain-resolved community proteomics reveals recombining genomes of acidophilic bacteria.

Ian Lo1, Vincent J Denef, Nathan C Verberkmoes, Manesh B Shah, Daniela Goltsman, Genevieve DiBartolo, Gene W Tyson, Eric E Allen, Rachna J Ram, J Chris Detter, Paul Richardson, Michael P Thelen, Robert L Hettich, Jillian F Banfield.   

Abstract

Microbes comprise the majority of extant organisms, yet much remains to be learned about the nature and driving forces of microbial diversification. Our understanding of how microorganisms adapt and evolve can be advanced by genome-wide documentation of the patterns of genetic exchange, particularly if analyses target coexisting members of natural communities. Here we use community genomic data sets to identify, with strain specificity, expressed proteins from the dominant member of a genomically uncharacterized, natural, acidophilic biofilm. Proteomics results reveal a genome shaped by recombination involving chromosomal regions of tens to hundreds of kilobases long that are derived from two closely related bacterial populations. Inter-population genetic exchange was confirmed by multilocus sequence typing of isolates and of uncultivated natural consortia. The findings suggest that exchange of large blocks of gene variants is crucial for the adaptation to specific ecological niches within the very acidic, metal-rich environment. Mass-spectrometry-based discrimination of expressed protein products that differ by as little as a single amino acid enables us to distinguish the behaviour of closely related coexisting organisms. This is important, given that microorganisms grouped together as a single species may have quite distinct roles in natural systems and their interactions might be key to ecosystem optimization. Because proteomic data simultaneously convey information about genome type and activity, strain-resolved community proteomics is an important complement to cultivation-independent genomic (metagenomic) analysis of microorganisms in the natural environment.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17344860     DOI: 10.1038/nature05624

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  85 in total

1.  Enigmatic, ultrasmall, uncultivated Archaea.

Authors:  Brett J Baker; Luis R Comolli; Gregory J Dick; Loren J Hauser; Doug Hyatt; Brian D Dill; Miriam L Land; Nathan C Verberkmoes; Robert L Hettich; Jillian F Banfield
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-26       Impact factor: 11.205

Review 2.  Metagenomic analyses: past and future trends.

Authors:  Carola Simon; Rolf Daniel
Journal:  Appl Environ Microbiol       Date:  2010-12-17       Impact factor: 4.792

3.  Metagenomic reconstructions of bacterial CRISPR loci constrain population histories.

Authors:  Christine L Sun; Brian C Thomas; Rodolphe Barrangou; Jillian F Banfield
Journal:  ISME J       Date:  2015-09-22       Impact factor: 10.302

Review 4.  Function, structure, and evolution of the RubisCO-like proteins and their RubisCO homologs.

Authors:  F Robert Tabita; Thomas E Hanson; Huiying Li; Sriram Satagopan; Jaya Singh; Sum Chan
Journal:  Microbiol Mol Biol Rev       Date:  2007-12       Impact factor: 11.056

5.  Microbial community gene expression in ocean surface waters.

Authors:  Jorge Frias-Lopez; Yanmei Shi; Gene W Tyson; Maureen L Coleman; Stephan C Schuster; Sallie W Chisholm; Edward F Delong
Journal:  Proc Natl Acad Sci U S A       Date:  2008-03-03       Impact factor: 11.205

Review 6.  A bioinformatician's guide to metagenomics.

Authors:  Victor Kunin; Alex Copeland; Alla Lapidus; Konstantinos Mavromatis; Philip Hugenholtz
Journal:  Microbiol Mol Biol Rev       Date:  2008-12       Impact factor: 11.056

Review 7.  Systems biology: Functional analysis of natural microbial consortia using community proteomics.

Authors:  Nathan C VerBerkmoes; Vincent J Denef; Robert L Hettich; Jillian F Banfield
Journal:  Nat Rev Microbiol       Date:  2009-03       Impact factor: 60.633

8.  Metagenomic and lipid analyses reveal a diel cycle in a hypersaline microbial ecosystem.

Authors:  Karen Andrade; Jörn Logemann; Karla B Heidelberg; Joanne B Emerson; Luis R Comolli; Laura A Hug; Alexander J Probst; Angus Keillar; Brian C Thomas; Christopher S Miller; Eric E Allen; John W Moreau; Jochen J Brocks; Jillian F Banfield
Journal:  ISME J       Date:  2015-04-28       Impact factor: 10.302

9.  Unravelling ancient microbial history with community proteogenomics and lipid geochemistry.

Authors:  Jochen J Brocks; Jillian Banfield
Journal:  Nat Rev Microbiol       Date:  2009-08       Impact factor: 60.633

10.  The chemolithoautotroph Acidithiobacillus ferrooxidans can survive under phosphate-limiting conditions by expressing a C-P lyase operon that allows it to grow on phosphonates.

Authors:  Mario Vera; Fernando Pagliai; Nicolas Guiliani; Carlos A Jerez
Journal:  Appl Environ Microbiol       Date:  2008-01-18       Impact factor: 4.792

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.