Systems Biology: Functional analysis of natural microbial consortia using community proteomics

Nathan C. VerBerkmoes; Vincent J. Denef; Robert L. Hettich; Jillian F. Banfield

doi:10.1038/nrmicro2080

Systems Biology: Functional analysis of natural microbial consortia using community proteomics

Nathan C. VerBerkmoes, Vincent J. Denef, Robert L. Hettich, Jillian F. Banfield

Bioanalytical Mass Spectrometry

Research output: Contribution to journal › Review article › peer-review

211 Scopus citations

Abstract

We know very little about the metabolic functioning and evolutionary dynamics of microbial communities. Recent advances in comprehensive, sequencing-based methods, however, are laying a molecular foundation for new insights into how microbial communities shape the Earth's biosphere. Here we explore the convergence of microbial ecology, genomics, biological mass spectrometry and informatics that form the new field of microbial community proteogenomics. We discuss the first applications of proteogenomics and its potential for studying the physiology, ecology and evolution of microbial populations and communities.

Original language	English
Pages (from-to)	196-205
Number of pages	10
Journal	Nature Reviews Microbiology
Volume	7
Issue number	3
DOIs	https://doi.org/10.1038/nrmicro2080
State	Published - 2009

Funding

Acknowledgements Funding was provided by the United States Department of Energy: Genomics: Genomes-to-Life Program, the National Science Foundation Biocomplexity Program and the NASA Astrobiology Institute. B. R. Maggard is thanked for secretarial assistance in the preparation of this manuscript. Oak Ridge National Laboratory is managed by University of Tennessee–Battelle LLC for the Department of Energy under contract DOE-AC05-00OR22725.

Funders	Funder number
United States Department of Energy
National Science Foundation
U.S. Department of Energy	DOE-AC05-00OR22725
Battelle
University of Tennessee
NASA Astrobiology Institute

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Systems Biology: Functional analysis of natural microbial consortia using community proteomics

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