Inference of natural selection from ancient DNA.

Details

Serval ID
serval:BIB_D2F70344208C
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Inference of natural selection from ancient DNA.
Journal
Evolution letters
Author(s)
Dehasque M., Ávila-Arcos M.C., Díez-Del-Molino D., Fumagalli M., Guschanski K., Lorenzen E.D., Malaspinas A.S., Marques-Bonet T., Martin M.D., Murray GGR, Papadopulos AST, Therkildsen N.O., Wegmann D., Dalén L., Foote A.D.
ISSN
2056-3744 (Electronic)
ISSN-L
2056-3744
Publication state
Published
Issued date
04/2020
Peer-reviewed
Oui
Volume
4
Number
2
Pages
94-108
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Abstract
Evolutionary processes, including selection, can be indirectly inferred based on patterns of genomic variation among contemporary populations or species. However, this often requires unrealistic assumptions of ancestral demography and selective regimes. Sequencing ancient DNA from temporally spaced samples can inform about past selection processes, as time series data allow direct quantification of population parameters collected before, during, and after genetic changes driven by selection. In this Comment and Opinion, we advocate for the inclusion of temporal sampling and the generation of paleogenomic datasets in evolutionary biology, and highlight some of the recent advances that have yet to be broadly applied by evolutionary biologists. In doing so, we consider the expected signatures of balancing, purifying, and positive selection in time series data, and detail how this can advance our understanding of the chronology and tempo of genomic change driven by selection. However, we also recognize the limitations of such data, which can suffer from postmortem damage, fragmentation, low coverage, and typically low sample size. We therefore highlight the many assumptions and considerations associated with analyzing paleogenomic data and the assumptions associated with analytical methods.
Keywords
Adaptation, ancient DNA, natural selection, paleogenomics, time series
Pubmed
Web of science
Open Access
Yes
Create date
27/05/2020 11:44
Last modification date
28/05/2020 5:26
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