Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/8285
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dc.contributor.authorCarroll, E. Len_US
dc.contributor.authorAlderman, Ren_US
dc.contributor.authorBannister, J. Len_US
dc.contributor.authorBérubé, Men_US
dc.contributor.authorBest, P. Ben_US
dc.contributor.authorBoren, Len_US
dc.contributor.authorBaker, C. Sen_US
dc.contributor.authorConstantine, Ren_US
dc.contributor.authorFindlay, Kenneth P.en_US
dc.contributor.authorHarcourt, Ren_US
dc.contributor.authorLemaire, Len_US
dc.contributor.authorPalsbøll, P. Jen_US
dc.contributor.authorPatenaude, N. Jen_US
dc.contributor.authorRowntree, V. Jen_US
dc.contributor.authorSeger, Jen_US
dc.contributor.authorSteel, Den_US
dc.contributor.authorValenzuela, L. Oen_US
dc.contributor.authorWatson, Men_US
dc.contributor.authorGaggiotti, O. Een_US
dc.date.accessioned2022-03-16T06:58:28Z-
dc.date.available2022-03-16T06:58:28Z-
dc.date.issued2018-
dc.identifier.citationCarroll, E. L., Alderman, R., Bannister, J. L. et al. 2018. Incorporating non-equilibrium dynamics into demographic history inferences of a migratory marine species. Heredity, 122: 53–68. [https://doi.org/10.1038/s41437-018-0077-y]en_US
dc.identifier.issn0018-067X-
dc.identifier.issn1365-2540-
dc.identifier.urihttp://hdl.handle.net/11189/8285-
dc.descriptionArticleen_US
dc.description.abstractUnderstanding how dispersal and gene flow link geographically separated the populations over evolutionary history is challenging, particularly in migratory marine species. In southern right whales (SRWs, Eubalaena australis), patterns of genetic diversity are likely influenced by the glacial climate cycle and recent history of whaling. Here we use a dataset of mitochondrial DNA (mtDNA) sequences (n = 1327) and nuclear markers (17 microsatellite loci, n = 222) from major wintering grounds to investigate circumpolar population structure, historical demography and effective population size. Analyses of nuclear genetic variation identify two population clusters that correspond to the South Atlantic and Indo-Pacific ocean basins that have similar effective breeder estimates. In contrast, all wintering grounds show significant differentiation for mtDNA, but no sex-biased dispersal was detected using the microsatellite genotypes. An approximate Bayesian computation (ABC) approach with microsatellite markers compared the scenarios with gene flow through time, or isolation and secondary contact between ocean basins, while modelling declines in abundance linked to whaling. Secondary-contact scenarios yield the highest posterior probabilities, implying that populations in different ocean basins were largely isolated and came into secondary contact within the last 25,000 years, but the role of whaling in changes in genetic diversity and gene flow over recent generations could not be resolved. We hypothesise that these findings are driven by factors that promote isolation, such as female philopatry, and factors that could promote dispersal, such as oceanographic changes. These findings highlight the application of ABC approaches to infer the connectivity in mobile species with complex population histories and, currently, low levels of differentiation.en_US
dc.language.isoenen_US
dc.publisherThe Genetics Societyen_US
dc.relation.ispartofHeredityen_US
dc.subjectGene flowen_US
dc.subjectpopulationsen_US
dc.subjectmarine speciesen_US
dc.subjectgenetic diversityen_US
dc.subjectnon-equilibrium dynamicsen_US
dc.titleIncorporating non-equilibrium dynamics into demographic history inferences of a migratory marine speciesen_US
dc.identifier.doihttps://doi.org/10.1038/s41437-018-0077-y-
dc.typeArticleen_US
Appears in Collections:Appsc - Journal Articles (DHET subsidised)
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