Codon bias and selection on single genomes

Matthew W. Hahn (), Jason G. Mezey, David J. Begun, John H. Gillespie, Andrew D. Kern, Charles H. Langley and Leonie C. Moyle
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Matthew W. Hahn: Center for Population Biology and Section of Evolution and Ecology, University of California
Jason G. Mezey: Center for Population Biology and Section of Evolution and Ecology, University of California
David J. Begun: Center for Population Biology and Section of Evolution and Ecology, University of California
John H. Gillespie: Center for Population Biology and Section of Evolution and Ecology, University of California
Andrew D. Kern: Center for Population Biology and Section of Evolution and Ecology, University of California
Charles H. Langley: Center for Population Biology and Section of Evolution and Ecology, University of California
Leonie C. Moyle: Center for Population Biology and Section of Evolution and Ecology, University of California

Nature, 2005, vol. 433, issue 7023, E5-E6

Abstract: Abstract Arising from: J. B. Plotkin, J. Dushoff & H. B. Fraser Nature 428, 942–945 (2004); see also communication from Nielsen et al.; Chen et al.; Plotkin et al. reply The idea that natural selection on genes might be detected using only a single genome has been put forward by Plotkin and colleagues1, who present a method that they claim can detect selection without the need for comparative data and which, if correct, would confer greater power of analysis with less information. Here we argue that their method depends on assumptions that confound their conclusions and that, even if these assumptions were valid, the authors' inferences about adaptive natural selection are unjustified.

Date: 2005
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DOI: 10.1038/nature03221

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