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Looking into the black box: simulating the role of self-fertilization and mortality in the genetic structure of Macrocystis pyrifera

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dc.contributor.authorJohansson, M. L.
dc.contributor.authorRaimondi, P. T.
dc.contributor.authorReed, D. C.
dc.contributor.authorCoelho, N. C.
dc.contributor.authorSerrão, Ester
dc.contributor.authorAlberto, F.
dc.date.accessioned2014-05-23T12:28:43Z
dc.date.available2014-05-23T12:28:43Z
dc.date.issued2013
dc.date.updated2014-05-21T11:23:48Z
dc.description.abstractPatterns of spatial genetic structure (SGS), typically estimated by genotyping adults, integrate migration over multiple generations and measure the effective gene flow of populations. SGS results can be compared with direct ecological studies of dispersal or mating system to gain additional insights. When mismatches occur, simulations can be used to illuminate the causes of these mismatches. Here, we report a SGS and simulation-based study of self-fertilization in Macrocystis pyrifera, the giant kelp. We found that SGS is weaker than expected in M. pyrifera and used computer simulations to identify selfing and early mortality rates for which the individual heterozygosity distribution fits that of the observed data. Only one (of three) population showed both elevated kinship in the smallet distance class and a significant negative slope between kinship and geographical distance. All simulations had poor fit to the observed data unless mortality due to inbreeding depression was imposed. This mortality could only be imposed for selfing, as these were the only simulations to show an excess of homozygous individuals relative to the observed data. Thus, the expected data consistently achieved nonsignificant differences from the observed data only under models of selfing with mortality, with best fits between 32% and 42% selfing. Inbreeding depression ranged from 0.70 to 0.73. The results suggest that densitydependent mortality of early life stages is a significant force in structuring Macrocystis populations, with few highly homozygous individuals surviving. The success of these results should help to validate simulation approaches even in data-poor systems, as a means to estimate otherwise difficult-to-measure life cycle parameters.por
dc.identifier.citationJohansson, M.L.; Raimondi, P.T.; Reed, D.C.; Coelho, N.C.; Serrão, E.A.; Alberto, F.A. Looking into the black box: Simulating the role of self-fertilization and mortality in the genetic structure of Macrocystis pyrifera, Molecular Ecology, 22, 19, 4842-48, 2013.por
dc.identifier.doihttp://dx.doi.org/10.1111/mec.12444
dc.identifier.issn0962-1083
dc.identifier.otherAUT: ESE00527;
dc.identifier.urihttp://hdl.handle.net/10400.1/4046
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherWileypor
dc.subjectGiant kelppor
dc.subjectInbreeding depressionpor
dc.subjectMating systempor
dc.subjectMicrosatellitespor
dc.subjectSelf-fertilizationpor
dc.subjectSpatial genetic structurepor
dc.titleLooking into the black box: simulating the role of self-fertilization and mortality in the genetic structure of Macrocystis pyriferapor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage4854por
oaire.citation.issue19por
oaire.citation.startPage4842por
oaire.citation.titleMolecular Ecologypor
oaire.citation.volume22por
person.familyNameCoelho
person.familyNameSerrao
person.familyNameAlberto
person.givenNameNelson
person.givenNameEster A.
person.givenNameFilipe
person.identifierC-6686-2012
person.identifier1488456
person.identifier.ciencia-id5B13-B26E-B1EC
person.identifier.ciencia-idBD15-2AC7-8AA3
person.identifier.orcid0000-0002-8331-5889
person.identifier.orcid0000-0003-1316-658X
person.identifier.orcid0000-0003-0593-3240
person.identifier.scopus-author-id26029686700
person.identifier.scopus-author-id7004093604
person.identifier.scopus-author-id6701653422
rcaap.rightsrestrictedAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublicationa4f42eaf-25b1-4c06-badb-b6b0fd5b8b09
relation.isAuthorOfPublication45ccfe90-155c-4d6f-9e86-8f0fd064005f
relation.isAuthorOfPublication4e95893d-e3c7-462f-a897-49bb8999b65b
relation.isAuthorOfPublication.latestForDiscoverya4f42eaf-25b1-4c06-badb-b6b0fd5b8b09

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