SYSTEMS BIOLOGY Functional analysis of natural microbial consortia using community proteomics

被引:171
作者
VerBerkmoes, Nathan C. [1 ]
Denef, Vincent J. [2 ]
Hettich, Robert L. [1 ]
Banfield, Jillian F. [2 ]
机构
[1] Oak Ridge Natl Lab, Oak Ridge, TN 37831 USA
[2] Univ Calif Berkeley, Berkeley, CA 94720 USA
基金
美国能源部; 美国国家科学基金会;
关键词
MASS-SPECTROMETRY; PROTEIN IDENTIFICATION; ABSOLUTE PROTEIN; ACCURATE MASS; GENOME; TANDEM; METAPROTEOMICS; EXPRESSION; ABUNDANCE; MODEL;
D O I
10.1038/nrmicro2080
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
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.
引用
收藏
页码:196 / 205
页数:10
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