Strain-resolved community proteomics reveals recombining genomes of acidophilic bacteria

Ian Lo, 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 and Jillian F. Banfield ()
Additional contact information
Ian Lo: University of California, Berkeley, California 94720, USA
Vincent J. Denef: University of California, Berkeley, California 94720, USA
Nathan C. VerBerkmoes: Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
Manesh B. Shah: Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
Daniela Goltsman: University of California, Berkeley, California 94720, USA
Genevieve DiBartolo: University of California, Berkeley, California 94720, USA
Gene W. Tyson: University of California, Berkeley, California 94720, USA
Eric E. Allen: University of California, Berkeley, California 94720, USA
Rachna J. Ram: University of California, Berkeley, California 94720, USA
J. Chris Detter: Joint Genome Institute, Walnut Creek, California 94598, USA
Paul Richardson: Joint Genome Institute, Walnut Creek, California 94598, USA
Michael P. Thelen: Lawrence Livermore National Laboratory, Livermore, California 94550, USA
Robert L. Hettich: Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
Jillian F. Banfield: University of California, Berkeley, California 94720, USA

Nature, 2007, vol. 446, issue 7135, 537-541

Abstract: Mine of information Acid mine drainage formation, a widespread and serious environmental problem, is mediated by microbial consortia, often dominated by Leptospirillum group II. These organisms grow in sulphuric acid solutions with pH typically below 1.0, and highly enriched in toxic metals. Biofilms from the abandoned Richmond Mine in Iron Mountain, California, are ideal for the study of these microbial communities since they contain relatively few species. A high-resolution proteogenomic study suggests that the exchange of large blocks of gene variants between closely related bacterial populations and between individual organisms is crucial to their adaptation to this harsh ecological niche. This work is a significant advance in the study of microbial populations in their natural environments, and this proteo genomic approach should find application elsewhere, for instance in strain typing of pathogens.

Date: 2007
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DOI: 10.1038/nature05624

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