title: Investigating population history using temporal genetic differentiation.
abstract: The rapid advance of sequencing technology, coupled with improvements in molecular methods for obtaining genetic data from ancient sources, holds the promise of producing a wealth of genomic data from time-separated individuals. However, the population-genetic properties of time-structured samples have not been extensively explored. Here, we consider the implications of temporal sampling for analyses of genetic differentiation and use a temporal coalescent framework to show that complex historical events such as size reductions, population replacements, and transient genetic barriers between populations leave a footprint of genetic differentiation that can be traced through history using temporal samples. Our results emphasize explicit consideration of the temporal structure when making inferences and indicate that genomic data from ancient individuals will greatly increase our ability to reconstruct population history.
authors.affiliation: Department of Evolutionary Biology, Uppsala University, Uppsala, Sweden skoglund@genetics.med.harvard.edu mattias.jakobsson@ebc.uu.se.
authors.forename: Pontus
authors.initials: P
authors.lastname: Skoglund
authors.affiliation: Department of Evolutionary Biology, Uppsala University, Uppsala, Sweden.
authors.forename: Per
authors.initials: P
authors.lastname: Sjödin
authors.affiliation: Department of Evolutionary Biology, Uppsala University, Uppsala, SwedenDepartment of Information Technology, Uppsala University, Uppsala, Sweden.
authors.forename: Tobias
authors.initials: T
authors.lastname: Skoglund
authors.affiliation: Department of Ecology and Genetics, Program in Plant Ecology and Evolution, Uppsala University, Uppsala, SwedenScience for Life Laboratory, Uppsala, Sweden.
authors.forename: Martin
authors.initials: M
authors.lastname: Lascoux
authors.affiliation: Department of Evolutionary Biology, Uppsala University, Uppsala, SwedenScience for Life Laboratory, Uppsala, Sweden skoglund@genetics.med.harvard.edu mattias.jakobsson@ebc.uu.se.
authors.forename: Mattias
authors.initials: M
authors.lastname: Jakobsson
mesh_terms: D000465:Algorithms; D000818:Animals; D019295:Computational Biology / Q000379:methods; D040961:Genetic Drift; D014644:Genetic Variation; D006801:Humans; D010802:Phylogeny; D011157:Population Dynamics; D012494:Sampling Studies
keywords: FST; ancient DNA; genetic differentiation; population structure; time-serial sampling