Inference of past demography, dormancy and self-fertilization rates from whole genome sequence data.

ABSTRACT: Several methods based on the Sequential Markovian coalescence (SMC) have been developed that make use of genome sequence data to uncover population demographic history, which is of interest in its own right and is a key requirement to generate a null model for selection tests. While these methods can be applied to all possible kind of species, the underlying assumptions are sexual reproduction in each generation and non-overlapping generations. However, in many plants, invertebrates, fungi and other taxa, those assumptions are often violated due to different ecological and life history traits, such as self-fertilization or long term dormant structures (seed or egg-banking). We develop a novel SMC-based method to infer 1) the rates/parameters of dormancy and of self-fertilization, and 2) th

SUBMITTER: Sellinger TPP 

PROVIDER: S-EPMC7173940 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature