Inference of coevolutionary dynamics and parameters from host and parasite polymorphism data of repeated experiments.

ABSTRACT: There is a long-standing interest in understanding host-parasite coevolutionary dynamics and associated fitness effects. Increasing amounts of genomic data for both interacting species offer a promising source to identify candidate loci and to infer the main parameters of the past coevolutionary history. However, so far no method exists to perform the latter. By coupling a gene-for-gene model with coalescent simulations, we first show that three types of biological costs, namely, resistance, infectivity and infection, define the allele frequencies at the internal equilibrium point of the coevolution model. These in return determine the strength of selective signatures at the coevolving host and parasite loci. We apply an Approximate Bayesian Computation (ABC) approach on simulated datasets

SUBMITTER: Markle H 

PROVIDER: S-EPMC7156111 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature