TY - JOUR
T1 - Population genomics in natural microbial communities
AU - Whitaker, Rachel J.
AU - Banfield, Jillian F.
N1 - Funding Information:
We thank B. Bohannan, C. Horner-Devine, E. Turner, S. Wald and three anonymous reviewers for helpful discussion and comments on this article. Funding was provided by a grant from the NSF Biocomplexity Program, EAR0221768.
PY - 2006/9
Y1 - 2006/9
N2 - 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.
AB - 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.
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U2 - 10.1016/j.tree.2006.07.001
DO - 10.1016/j.tree.2006.07.001
M3 - Review article
C2 - 16859806
AN - SCOPUS:33747160474
SN - 0169-5347
VL - 21
SP - 508
EP - 516
JO - Trends in Ecology and Evolution
JF - Trends in Ecology and Evolution
IS - 9
ER -