title: Ancestral population genomics.
abstract: The full genomes of several closely related species are now available, opening an emerging field of investigation borrowing both from population genetics and phylogenetics. Providing we can properly model sequence evolution within populations undergoing speciation events, this resource enables us to estimate key population genetics parameters, such as ancestral population sizes and split times. Furthermore, we can enhance our understanding of the recombination process and investigate various selective forces. We discuss the basic speciation models for closely related species, including the isolation and isolation-with-migration models. A major point in our discussion is that only a few complete genomes contain much information about the whole population. The reason being that recombination unlinks genomic regions, and therefore a few genomes contain many segments with distinct histories. The challenge of population genomics is to decode this mosaic of histories in order to infer scenarios of demography and selection. We survey different approaches for understanding ancestral species from analyses of genomic data from closely related species. In particular, we emphasize core assumptions and working hypothesis. Finally, we discuss computational and statistical challenges that arise in the analysis of population genomics data sets.
authors.affiliation: Institut des Sciences de l'Évolution Montpellier (ISE-M), UMR 5554, CNRS, Unversité Montpellier, Montpellier, France. julien.dutheil@univ-montp2.fr
authors.forename: Julien Y
authors.initials: JY
authors.lastname: Dutheil
authors.forename: Asger
authors.initials: A
authors.lastname: Hobolth
mesh_terms: D000818:Animals; D006801:Humans; D008390:Markov Chains; D056186:Metagenomics / Q000379:methods*; D008957:Models, Genetic; D010802:Phylogeny; D011995:Recombination, Genetic / Q000235:genetics