Pitfalls and virtues of population genetic summary statistics: detecting selective sweeps in recent divergences

Schneider, K., White, T. J., Mitchell, S. , Adams, C. E. , Reeve, R. and Elmer, K. R. (2021) Pitfalls and virtues of population genetic summary statistics: detecting selective sweeps in recent divergences. Journal of Evolutionary Biology, 34(6), pp. 893-909. (doi: 10.1111/jeb.13738) (PMID:33185292)

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During evolution, genomes are shaped by a plethora of forces that can leave characteristic signatures. A common goal when studying diverging populations is to detect the signatures of selective sweeps, which can be rather difficult in complex demographic scenarios, such as under secondary contact. Moreover, the detection of selective sweeps, especially in whole‐genome data, often relies heavily on a narrow set of summary statistics that are affected by a multitude of factors, frequently leading to false positives and false negatives. Simulating genomic regions makes it possible to control these demographic and population genetic factors. We used simulations of large genomic regions to determine how different secondary contact and sympatric speciation scenarios affect the footprint of hard and soft selective sweeps in the presence of varying degrees of gene flow and recombination. We explored the ability of an array of population genetic summary statistics to detect the footprints of these selective sweeps under specific demographies. We focussed on metrics that do not require phased data or ancestral sequences and therefore have wide applicability. We found that a newly developed beta diversity measure, BGD, outperformed all other metrics in detecting selective sweeps and that FST also performed well. High accuracy was also found in ∆π and genotype distance‐derived metrics. The performance of most metrics strongly depended on factors such as the presence of an allopatric phase, migration rates, recombination, population growth, and whether the sweep was hard or soft. We provide suggestions for locating and analysing the response to selective sweeps in whole‐genome data.

Item Type:Articles
Additional Information:The project was supported by a Fisheries Society of the British Isles (FSBI) PhD Studentship awarded to KS with KRE and CEA.
Glasgow Author(s) Enlighten ID:Schneider, Mr Kevin and White, Mr Tom and Reeve, Professor Richard and Mitchell, Dr Sonia and Elmer, Professor Kathryn and Adams, Professor Colin
Authors: Schneider, K., White, T. J., Mitchell, S., Adams, C. E., Reeve, R., and Elmer, K. R.
College/School:College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine
Journal Name:Journal of Evolutionary Biology
ISSN (Online):1420-9101
Published Online:13 November 2020
Copyright Holders:Copyright © 2020 European Society for Evolutionary Biology
First Published:First published in Journal of Evolutionary Biology 34(6): 893-909
Publisher Policy:Reproduced in accordance with the publisher copyright policy
Data DOI:10.5525/gla.researchdata.981

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