Document Detail

Population genomics in natural microbial communities.
MedLine Citation:
PMID:  16859806     Owner:  NLM     Status:  MEDLINE    
Little is known about the evolutionary processes that structure and maintain microbial diversity because, until recently, it was difficult to explore individual-level patterns of variation at the microbial scale. Now, community-genomic sequence data enable such variation to be assessed across large segments of microbial genomes. Here, we discuss how population-genomic analysis of these data can be used to determine how selection and genetic exchange shape the evolution of new microbial lineages. We show that once independent lineages have been identified, such analyses enable the identification of genome changes that drive niche differentiation and promote the coexistence of closely related lineages within the same environment. We suggest that understanding the evolutionary ecology of natural microbial populations through population-genomic analyses will enhance our understanding of genome evolution across all domains of life.
Rachel J Whitaker; Jillian F Banfield
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Review     Date:  2006-07-20
Journal Detail:
Title:  Trends in ecology & evolution     Volume:  21     ISSN:  0169-5347     ISO Abbreviation:  Trends Ecol. Evol. (Amst.)     Publication Date:  2006 Sep 
Date Detail:
Created Date:  2006-08-24     Completed Date:  2006-12-19     Revised Date:  2011-05-03    
Medline Journal Info:
Nlm Unique ID:  8805125     Medline TA:  Trends Ecol Evol     Country:  England    
Other Details:
Languages:  eng     Pagination:  508-16     Citation Subset:  IM    
Ecosystem Sciences, 137 Mulford Hall, University of California, Berkeley, CA 94720-3114, USA.
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MeSH Terms
Archaea / classification*
Bacteria / classification*
Base Sequence
Genetics, Population*
Molecular Sequence Data
Reg. No./Substance:

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