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dc.contributor.authorChristie, Mark
dc.contributor.authorMeirmans, Patrick
dc.contributor.authorGaggiotti, Oscar Eduardo
dc.contributor.authorToonen, Robert
dc.contributor.authorWhite, Crow
dc.date.accessioned2018-04-07T23:34:43Z
dc.date.available2018-04-07T23:34:43Z
dc.date.issued2017-07-01
dc.identifier.citationChristie , M , Meirmans , P , Gaggiotti , O E , Toonen , R & White , C 2017 , ' Disentangling the relative merits and disadvantages of parentage analysis and assignment tests for inferring population connectivity ' , ICES Journal of Marine Science , vol. 74 , no. 6 , pp. 1749-1762 . https://doi.org/10.1093/icesjms/fsx044en
dc.identifier.issn1054-3139
dc.identifier.otherPURE: 249396622
dc.identifier.otherPURE UUID: 5186e1b9-bab2-44b1-a333-19aa6f0c4a16
dc.identifier.otherScopus: 85019850074
dc.identifier.otherWOS: 000406598500025
dc.identifier.otherORCID: /0000-0003-1827-1493/work/61370102
dc.identifier.urihttps://hdl.handle.net/10023/13092
dc.descriptionOEG was supported by MASTS (the Marine Alliance for Science and Technology for Scotland).en
dc.description.abstractAccurately estimating patterns of population connectivity in marine systems remains an elusive goal. Current genetic approaches have focused on assigning individuals back to their natal populations using one of two methods: parentage analyses and assignment tests. Each of these approaches has their relative merits and weaknesses. Here, we illustrate these tradeoffs using a forward-time agent-based model that incorporates relevant natural history and physical oceanography for 135 Kellet’s whelk (Kelletia kelletii) populations from Southern California. Like most marine organisms, Kellet’s whelks live in large metapopulations where local populations are connected by dispersive larvae. For estimating population connectivity, we found parentage analyses to be relatively insensitive to the amount of genetic differentiation among local populations, but highly sensitive to the proportion of the metapopulation sampled. Assignment tests, on the other hand, were relatively insensitive to the proportion of the metapopulation sampled, but highly sensitive to the amount of genetic differentiation found among local populations. Comparisons between the true connectivity matrices (generated by using the true origin of all sampled individuals) and those obtained via parentage analyses and assignment tests reveal that neither approach can explain more than 26% of the variation in true connectivity. Furthermore, even with perfect assignment of all sampled individuals, sampling error alone can introduce noise into the estimated population connectivity matrix. Future work should aim to improve the number of correct assignments without the expense of additional incorrect assignments, perhaps by using dispersal information gleaned from related individuals as priors in a Bayesian framework. These analyses dispel a number of common misconceptions in the field and highlight areas for both future research and methodological improvements.
dc.language.isoeng
dc.relation.ispartofICES Journal of Marine Scienceen
dc.rights© 2017, International Council for the Exploration of the Sea (ICES). This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at academic.oup.com/icesjms / https://doi.org/10.1093/icesjms/fsx044en
dc.subjectDispersalen
dc.subjectGenetic assignment testsen
dc.subjectLarval connectivityen
dc.subjectMarine metapopulationsen
dc.subjectParentage analysisen
dc.subjectQH301 Biologyen
dc.subjectQH426 Geneticsen
dc.subjectDASen
dc.subjectSDG 14 - Life Below Wateren
dc.subject.lccQH301en
dc.subject.lccQH426en
dc.titleDisentangling the relative merits and disadvantages of parentage analysis and assignment tests for inferring population connectivityen
dc.typeJournal articleen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Marine Alliance for Science & Technology Scotlanden
dc.contributor.institutionUniversity of St Andrews. Scottish Oceans Instituteen
dc.identifier.doihttps://doi.org/10.1093/icesjms/fsx044
dc.description.statusPeer revieweden
dc.date.embargoedUntil2018-04-07


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