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PMID: 19776167 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Genome-wide mutational diversity in an evolving population of Escherichia coli.

Cold Spring Harbor symposia on quantitative biology ·Vol. 74 ·2009-00-00 ·Pages 119-29

Barrick JE, Lenski RE

Abstract

The level of genetic variation in a population is the result of a dynamic tension between evolutionary forces. Mutations create variation, certain frequency-dependent interactions may preserve diversity, and natural selection purges variation. New sequencing technologies offer unprecedented opportunities to discover and characterize the diversity present in evolving microbial populations on a whole-genome scale. By sequencing mixed-population samples, we have identified single-nucleotide polymorphisms (SNPs) present at various points in the history of an Escherichia coli population that has evolved for almost 20 years from a founding clone. With 50-fold genome coverage, we were able to catch beneficial mutations as they swept to fixation, discover contending beneficial alleles that were eliminated by clonal interference, and detect other minor variants possibly adapted to a new ecological niche. Additionally, there was a dramatic increase in genetic diversity late in the experiment after a mutator phenotype evolved. Still finer-resolution details of the structure of genetic variation and how it changes over time in microbial evolution experiments will enable new applications and quantitative tests of population genetic theory.

MeSH Terms
DNA, Bacterial/genetics Databases, Nucleic Acid Escherichia coli/genetics,physiology Evolution, Molecular Genetic Variation Genome, Bacterial Models, Genetic Mutation Phenotype Polymorphism, Single Nucleotide Time Factors
Chemicals
DNA, Bacterial
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Barrick J E
Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI 48824, USA.
Lenski R E
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Article Info
Journal
Cold Spring Harbor symposia on quantitative biology
Abbr.
Cold Spring Harb Symp Quant Biol
ISSN
1943-4456
DOI
10.1101/sqb.2009.74.018
Published
2009-00-00
Epub
2009-00-23
Pages
119-29
Language
English
Region
United States
NLM ID
1256107
PMCID
PMC2890043
Subset
IM
Grants
NIGMS NIH HHS · K99 GM087550 · United States
NIGMS NIH HHS · K99 GM087550-01 · United States
NIGMS NIH HHS · R00 GM087550 · United States
NIGMS NIH HHS · GM-087550 · United States
External Links
PubMed source DOI: 10.1101/sqb.2009.74.018 PMC Full Text
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