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The demographic history of populations experiencing asymmetric gene flow: combining simulated and empirical data

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dc.contributor.authorPaz-Vinas, I.
dc.contributor.authorQuéméré, E.
dc.contributor.authorChikhi, L.
dc.contributor.authorLoot, G.
dc.contributor.authorBlanchet, S.
dc.date.accessioned2016-03-22T13:33:36Z
dc.date.available2016-03-22T13:33:36Z
dc.date.issued2013
dc.description.abstractPopulation structure can significantly affect genetic-based demographic inferences, generating spurious bottleneck-like signals. Previous studies have typically assumed island or stepping-stone models, which are characterized by symmetric gene flow. However, many organisms are characterized by asymmetric gene flow. Here, we combined simulated and empirical data to test whether asymmetric gene flow affects the inference of past demographic changes. Through the analysis of simulated genetic data with three methods (i.e. bottleneck, M-ratio and msvar), we demonstrated that asymmetric gene flow biases past demographic changes. Most biases were towards spurious signals of expansion, albeit their strength depended on values of effective population size and migration rate. It is noteworthy that the spurious signals of demographic changes also depended on the statistical approach underlying each of the three methods. For one of the three methods, biases induced by asymmetric gene flow were confirmed in an empirical multispecific data set involving four freshwater fish species (Squalius cephalus, Leuciscus burdigalensis, Gobio gobio and Phoxinus phoxinus). However, for the two other methods, strong signals of bottlenecks were detected for all species and across two rivers. This suggests that, although potentially biased by asymmetric gene flow, some of these methods were able to bypass this bias when a bottleneck actually occurred. Our results show that population structure and dispersal patterns have to be considered for proper inference of demographic changes from genetic data.pt_PT
dc.description.sponsorshipAgence de l'Eau Adour-Garonne; Génopole Toulouse; Ministère de l'Enseignement Supérieur et de la Recherche; Laboratoire d’Excellence (LABEX) entitled TULIP (ANR -10-LABX- 41).pt_PT
dc.identifier.citationPaz-Vinas, I., Quéméré, E., Chikhi, L., Loot, G. and Blanchet, S. (2013), The demographic history of populations experiencing asymmetric gene flow: combining simulated and empirical data. Molecular Ecology, 22: 3279–3291. doi: 10.1111/mec.12321pt_PT
dc.identifier.doi10.1111/mec.12321pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.7/569
dc.language.isoengpt_PT
dc.peerreviewednopt_PT
dc.publisherWileypt_PT
dc.relation.publisherversionhttp://onlinelibrary.wiley.com/wol1/doi/10.1111/mec.12321/abstractpt_PT
dc.subjectsource-sink dynamicspt_PT
dc.subjectdemographic changept_PT
dc.subjectfishpt_PT
dc.subjectriverspt_PT
dc.subjectABCpt_PT
dc.titleThe demographic history of populations experiencing asymmetric gene flow: combining simulated and empirical datapt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage3291pt_PT
oaire.citation.issue12pt_PT
oaire.citation.startPage3279pt_PT
oaire.citation.titleMolecular Ecologypt_PT
oaire.citation.volume22pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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