MBE Advance Access published online on August 17, 2005
Molecular Biology and Evolution, doi:10.1093/molbev/msi232
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1 Antiviral Research Center, University of California, San Diego CA 92103
* To whom correspondence should be addressed. We develop a new model for studying the molecular evolution of protein-coding DNA sequences. In contrast to existing models, we incorporate the potential for site-to-site heterogeneity of both synonymous and nonsynonymous substitution rates. We demonstrate that within-gene heterogeneity of synonymous substitution rates appears to be common. Using the new family of models we investigate the utility of a variety of new statistical inference procedures, and we pay particular attention to issues surrounding the detection of sites undergoing positive selection. We discuss how failure to model synonymous rate variation in the model can lead to misidentification of sites as positively selected.
Accepted June 27, 2005
Research Article
Site-to-Site Variation of Synonymous Substitution Rates
2 Bioinformatics Research Center, North Carolina State University, Raleigh NC 27695-7566
Spencer V. Muse, E-mail: muse{at}stat.ncsu.edu
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