Evidence That Mutation Is Universally Biased towards AT in Bacteria

Mutation is the engine that drives evolution and adaptation forward in that it generates the variation on which natural selection acts. Mutation is a random process that nevertheless occurs according to certain biases. Elucidating mutational biases and the way they vary across species and within gen...

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Published inPLoS genetics Vol. 6; no. 9; p. e1001115
Main Authors Hershberg, Ruth, Petrov, Dmitri A.
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 01.09.2010
Public Library of Science (PLoS)
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ISSN1553-7404
1553-7390
1553-7404
DOI10.1371/journal.pgen.1001115

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Summary:Mutation is the engine that drives evolution and adaptation forward in that it generates the variation on which natural selection acts. Mutation is a random process that nevertheless occurs according to certain biases. Elucidating mutational biases and the way they vary across species and within genomes is crucial to understanding evolution and adaptation. Here we demonstrate that clonal pathogens that evolve under severely relaxed selection are uniquely suitable for studying mutational biases in bacteria. We estimate mutational patterns using sequence datasets from five such clonal pathogens belonging to four diverse bacterial clades that span most of the range of genomic nucleotide content. We demonstrate that across different types of sites and in all four clades mutation is consistently biased towards AT. This is true even in clades that have high genomic GC content. In all studied cases the mutational bias towards AT is primarily due to the high rate of C/G to T/A transitions. These results suggest that bacterial mutational biases are far less variable than previously thought. They further demonstrate that variation in nucleotide content cannot stem entirely from variation in mutational biases and that natural selection and/or a natural selection-like process such as biased gene conversion strongly affect nucleotide content.
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Conceived and designed the experiments: RH DAP. Performed the experiments: RH. Analyzed the data: RH DAP. Wrote the paper: RH DAP.
ISSN:1553-7404
1553-7390
1553-7404
DOI:10.1371/journal.pgen.1001115