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dc.contributor.authorSaatoglu, Fikriye Dilan
dc.contributor.authorNiskanen, Alina Katariina
dc.contributor.authorKuismin, Markku
dc.contributor.authorRanke, Peter Sjolte
dc.contributor.authorHagen, Ingerid Julie
dc.contributor.authorAraya-Ajoy, Yimen
dc.contributor.authorKvalnes, Thomas
dc.contributor.authorPärn, Henrik
dc.contributor.authorRønning, Bernt
dc.contributor.authorRingsby, Thor Harald
dc.contributor.authorSæther, Bernt-Erik
dc.contributor.authorHusby, Arild
dc.contributor.authorSillanpää, Mikko J.
dc.contributor.authorJensen, Henrik
dc.date.accessioned2022-04-01T11:55:27Z
dc.date.available2022-04-01T11:55:27Z
dc.date.created2021-08-25T15:25:42Z
dc.date.issued2021
dc.identifier.citationMolecular Ecology. 2021, 30 4740-4756.en_US
dc.identifier.issn0962-1083
dc.identifier.urihttps://hdl.handle.net/11250/2989283
dc.description.abstractDispersal has a crucial role determining ecoevolutionary dynamics through both gene flow and population size regulation. However, to study dispersal and its consequences, one must distinguish immigrants from residents. Dispersers can be identified using telemetry, capture-mark-recapture (CMR) methods, or genetic assignment methods. All of these methods have disadvantages, such as high costs and substantial field efforts needed for telemetry and CMR surveys, and adequate genetic distance required in genetic assignment. In this study, we used genome-wide 200K Single Nucleotide Polymorphism data and two different genetic assignment approaches (GSI_SIM, Bayesian framework; BONE, network-based estimation) to identify the dispersers in a house sparrow (Passer domesticus) metapopulation sampled over 16 years. Our results showed higher assignment accuracy with BONE. Hence, we proceeded to diagnose potential sources of errors in the assignment results from the BONE method due to variation in levels of interpopulation genetic differentiation, intrapopulation genetic variation and sample size. We show that assignment accuracy is high even at low levels of genetic differentiation and that it increases with the proportion of a population that has been sampled. Finally, we highlight that dispersal studies integrating both ecological and genetic data provide robust assessments of the dispersal patterns in natural populations.en_US
dc.language.isoengen_US
dc.publisherWileyen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectMetapopulasjonen_US
dc.subjectMetapopulationen_US
dc.subjectSpredningsøkologien_US
dc.subjectDispersal ecologyen_US
dc.subjectPopulasjonsgenetikken_US
dc.subjectPopulation geneticsen_US
dc.titleDispersal in a house sparrow metapopulation: An integrative case study of genetic assignment calibrated with ecological data and pedigree informationen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber4740-4756en_US
dc.source.volume30en_US
dc.source.journalMolecular Ecologyen_US
dc.identifier.doi10.1111/mec.16083
dc.identifier.cristin1928760
dc.relation.projectNorges forskningsråd: 221956en_US
dc.relation.projectNorges forskningsråd: 274930en_US
dc.relation.projectNorges forskningsråd: 302619en_US
dc.relation.projectNorges forskningsråd: 223257en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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