Using conventional F-statistics to study unconventional sex-chromosome differentiation.

Details

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State: Public
Version: Final published version
Serval ID
serval:BIB_E97D5EEB11F8
Type
Article: article from journal or magazin.
Collection
Publications
Title
Using conventional F-statistics to study unconventional sex-chromosome differentiation.
Journal
PeerJ
Author(s)
Rodrigues N., Dufresnes C.
Publication state
Published
Issued date
2017
Peer-reviewed
Oui
Volume
5
Pages
e3207
Language
english
Abstract
Species with undifferentiated sex chromosomes emerge as key organisms to understand the astonishing diversity of sex-determination systems. Whereas new genomic methods are widening opportunities to study these systems, the difficulty to separately characterize their X and Y homologous chromosomes poses limitations. Here we demonstrate that two simple F-statistics calculated from sex-linked genotypes, namely the genetic distance (Fst) between sexes and the inbreeding coefficient (Fis) in the heterogametic sex, can be used as reliable proxies to compare sex-chromosome differentiation between populations. We correlated these metrics using published microsatellite data from two frog species (Hyla arboreaand Rana temporaria), and show that they intimately relate to the overall amount of X-Y differentiation in populations. However, the fits for individual loci appear highly variable, suggesting that a dense genetic coverage will be needed for inferring fine-scale patterns of differentiation along sex-chromosomes. The applications of these F-statistics, which implies little sampling requirement, significantly facilitate population analyses of sex-chromosomes.

Keywords
Hyla arborea, Rana temporaria, Sex determination, Population genetics, F-is, F-st, Microsatellites, Population genomics, Homomorphic sex chromosomes, Sex-linked markers
Pubmed
Web of science
Open Access
Yes
Create date
09/05/2017 17:05
Last modification date
20/08/2019 16:12
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