Coestimation of recombination, substitution and molecular adaptation rates by approximate Bayesian computation.

ABSTRACT: The estimation of parameters in molecular evolution may be biased when some processes are not considered. For example, the estimation of selection at the molecular level using codon-substitution models can have an upward bias when recombination is ignored. Here we address the joint estimation of recombination, molecular adaptation and substitution rates from coding sequences using approximate Bayesian computation (ABC). We describe the implementation of a regression-based strategy for choosing subsets of summary statistics for coding data, and show that this approach can accurately infer recombination allowing for intracodon recombination breakpoints, molecular adaptation and codon substitution rates. We demonstrate that our ABC approach can outperform other analytical methods under a vari

SUBMITTER: Lopes JS 

PROVIDER: S-EPMC3931165 | biostudies-literature | 2014 Mar

REPOSITORIES: biostudies-literature