Inference of recombination maps from a single pair of genomes and its application to ancient samples.

ABSTRACT: Understanding the causes and consequences of recombination landscape evolution is a fundamental goal in genetics that requires recombination maps from across the tree of life. Such maps can be obtained from population genomic datasets, but require large sample sizes. Alternative methods are therefore necessary to research organisms where such datasets cannot be generated easily, such as non-model or ancient species. Here we extend the sequentially Markovian coalescent model to jointly infer demography and the spatial variation in recombination rate. Using extensive simulations and sequence data from humans, fruit-flies and a fungal pathogen, we demonstrate that iSMC accurately infers recombination maps under a wide range of scenarios-remarkably, even from a single pair of unphased genomes.

SUBMITTER: V Barroso G 

PROVIDER: S-EPMC6879166 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature