An improved approximate-Bayesian model-choice method for estimating shared evolutionary history.

ABSTRACT:

Background

To understand biological diversification, it is important to account for large-scale processes that affect the evolutionary history of groups of co-distributed populations of organisms. Such events predict temporally clustered divergences times, a pattern that can be estimated using genetic data from co-distributed species. I introduce a new approximate-Bayesian method for comparative phylogeographical model-choice that estimates the temporal distribution of divergences across taxa from multi-locus DNA sequence data. The model is an extension of that implemented in msBayes.

Results

By reparameterizing the model, introducing more flexible priors on demographic and divergence-time parameters, and implementing a non-parametric Dirichlet-process prior over divergence

SUBMITTER: Oaks JR 

PROVIDER: S-EPMC4227068 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature