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Isolation by oceanographic distance explains genetic structure for Macrocystis pyrifera in the Santa Barbara Channel

dc.contributor.authorAlberto, F.
dc.contributor.authorRaimondi, P. T.
dc.contributor.authorReed, D. C.
dc.contributor.authorWatson, J. R.
dc.contributor.authorSiegel, D. A.
dc.contributor.authorMitarai, S.
dc.contributor.authorCoelho, N. C.
dc.contributor.authorSerrão, Ester
dc.date.accessioned2014-05-27T14:35:34Z
dc.date.available2014-05-27T14:35:34Z
dc.date.issued2011
dc.date.updated2014-05-21T11:44:32Z
dc.description.abstractOcean currents are expected to be the predominant environmental factor influencing the dispersal of planktonic larvae or spores; yet, their characterization as predictors of marine connectivity has been hindered by a lack of understanding of how best to use oceanographic data. We used a high-resolution oceanographic model output and Lagrangian particle simulations to derive oceanographic distances (hereafter called transport times) between sites studied for Macrocystis pyrifera genetic differentiation. We build upon the classical isolation-by-distance regression model by asking how much additional variability in genetic differentiation is explained when adding transport time as predictor. We explored the extent to which gene flow is dependent upon seasonal changes in ocean circulation. Because oceanographic transport between two sites is inherently asymmetric, we also compare the explanatory power of models using the minimum or the mean transport times. Finally, we compare the direction of connectivity as estimated by the oceanographic model and genetic assignment tests. We show that the minimum transport time had higher explanatory power than the mean transport time, revealing the importance of considering asymmetry in ocean currents when modelling gene flow. Genetic assignment tests were much less effective in determining asymmetry in gene flow. Summer-derived transport times, in particular for the month of June, which had the strongest current speed, greatest asymmetry and highest spore production, resulted in the best-fit model explaining twice the variability in genetic differentiation relative to models that use geographic distance or habitat continuity. The best overall model also included habitat continuity and explained 65% of the variation in genetic differentiation among sites.por
dc.identifier.citationAlberto, F.; Raimondi, P.T.; Reed, D.C.; Watson, J.R.; Siegel, D.A.; Mitarai, S.; Coelho, N.C.; Serrão, E.A. Isolation by oceanographic distance explains genetic structure for Macrocystis pyrifera in the Santa Barbara Channel, Molecular Ecology, 20, 12, 2543-25, 2011.por
dc.identifier.doihttp://dx.doi.org/10.1111/j.1365-294X.2011.05117.x
dc.identifier.issn0962-1083
dc.identifier.otherAUT: ESE00527;
dc.identifier.urihttp://hdl.handle.net/10400.1/4101
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherWileypor
dc.subjectGenetic differentiationpor
dc.subjectGiant kelppor
dc.subjectIsolation-by-distancepor
dc.subjectLagrangian particle simulationpor
dc.subjectLandscape geneticspor
dc.subjectMarine connectivitypor
dc.titleIsolation by oceanographic distance explains genetic structure for Macrocystis pyrifera in the Santa Barbara Channelpor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage2554por
oaire.citation.issue12por
oaire.citation.startPage2543por
oaire.citation.titleMolecular Ecologypor
oaire.citation.volume20por
person.familyNameAlberto
person.familyNameCoelho
person.familyNameSerrao
person.givenNameFilipe
person.givenNameNelson
person.givenNameEster A.
person.identifier1488456
person.identifierC-6686-2012
person.identifier.ciencia-idBD15-2AC7-8AA3
person.identifier.ciencia-id5B13-B26E-B1EC
person.identifier.orcid0000-0003-0593-3240
person.identifier.orcid0000-0002-8331-5889
person.identifier.orcid0000-0003-1316-658X
person.identifier.scopus-author-id6701653422
person.identifier.scopus-author-id26029686700
person.identifier.scopus-author-id7004093604
rcaap.rightsrestrictedAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublication4e95893d-e3c7-462f-a897-49bb8999b65b
relation.isAuthorOfPublicationa4f42eaf-25b1-4c06-badb-b6b0fd5b8b09
relation.isAuthorOfPublication45ccfe90-155c-4d6f-9e86-8f0fd064005f
relation.isAuthorOfPublication.latestForDiscoverya4f42eaf-25b1-4c06-badb-b6b0fd5b8b09

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