Using classical population genetics tools with heterochroneous data: time matters!

ABSTRACT:

Background

New polymorphism datasets from heterochroneous data have arisen thanks to recent advances in experimental and microbial molecular evolution, and the sequencing of ancient DNA (aDNA). However, classical tools for population genetics analyses do not take into account heterochrony between subsets, despite potential bias on neutrality and population structure tests. Here, we characterize the extent of such possible biases using serial coalescent simulations.

Methodology/principal findings

We first use a coalescent framework to generate datasets assuming no or different levels of heterochrony and contrast most classical population genetic statistics. We show that even weak levels of heterochrony ( approximately 10% of the average depth of a standard population tree) af

SUBMITTER: Depaulis F 

PROVIDER: S-EPMC2678253 | biostudies-literature | 2009

REPOSITORIES: biostudies-literature