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Mol Biol Evol. 2014 Sep;31(9):2516-27. doi: 10.1093/molbev/msu192. Epub 2014 Jun 17.

Investigating population history using temporal genetic differentiation.

Author information

1
Department of Evolutionary Biology, Uppsala University, Uppsala, Sweden skoglund@genetics.med.harvard.edu mattias.jakobsson@ebc.uu.se.
2
Department of Evolutionary Biology, Uppsala University, Uppsala, Sweden.
3
Department of Evolutionary Biology, Uppsala University, Uppsala, SwedenDepartment of Information Technology, Uppsala University, Uppsala, Sweden.
4
Department of Ecology and Genetics, Program in Plant Ecology and Evolution, Uppsala University, Uppsala, SwedenScience for Life Laboratory, Uppsala, Sweden.
5
Department of Evolutionary Biology, Uppsala University, Uppsala, SwedenScience for Life Laboratory, Uppsala, Sweden skoglund@genetics.med.harvard.edu mattias.jakobsson@ebc.uu.se.

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.

KEYWORDS:

FST; ancient DNA; genetic differentiation; population structure; time-serial sampling

PMID:
24939468
PMCID:
PMC4137715
DOI:
10.1093/molbev/msu192
[Indexed for MEDLINE]
Free PMC Article

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