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dc.contributor.authorMorrissey, Michael Blair
dc.date.accessioned2015-04-15T23:01:36Z
dc.date.available2015-04-15T23:01:36Z
dc.date.issued2014-06-03
dc.identifier.citationMorrissey , M B 2014 , ' Selection and evolution of causally covarying traits ' , Evolution , vol. 68 , no. 6 , pp. 1748–1761 . https://doi.org/10.1111/evo.12385en
dc.identifier.issn0014-3820
dc.identifier.otherPURE: 99381502
dc.identifier.otherPURE UUID: be7208c0-c071-415e-907f-59d1fa22b3ca
dc.identifier.otherScopus: 84901694521
dc.identifier.otherWOS: 000337558900017
dc.identifier.urihttps://hdl.handle.net/10023/6491
dc.descriptionThe collection of the Soay sheep data is supported by the National Trust for Scotland and QinetQ, with funding from NERC, the Royal Society, and the Leverhulme Trust.en
dc.description.abstractWhen traits cause variation in fitness, the distribution of phenotype, weighted by fitness, necessarily changes. The degree to which traits cause fitness variation is therefore of central importance to evolutionary biology. Multivariate selection gradients are the main quantity used to describe components of trait-fitness covariation, but they quantify the direct effects of traits on (relative) fitness, which are not necessarily the total effects of traits on fitness. Despite considerable use in evolutionary ecology, path analytic characterizations of the total effects of traits on fitness have not been formally incorporated into quantitative genetic theory. By formally defining “extended” selection gradients, which are the total effects of traits on fitness, as opposed to the existing definition of selection gradients, a more intuitive scheme for characterizing selection is obtained. Extended selection gradients are distinct quantities, differing from the standard definition of selection gradients not only in the statistical means by which they may be assessed and the assumptions required for their estimation from observational data, but also in their fundamental biological meaning. Like direct selection gradients, extended selection gradients can be combined with genetic inference of multivariate phenotypic variation to provide quantitative prediction of microevolutionary trajectories.
dc.language.isoeng
dc.relation.ispartofEvolutionen
dc.rightsCopyright 2014 The Author(s). Evolution Copyright 2014 The Society for the Study of Evolution. This is the accepted version of the following article: Selection and evolution of causally-covarying traits. Morrissey, M. B. Jun 2014 In : Evolution. 68, 6, p. 1748–1761, which has been published in final form at http://dx.doi.org/10.1111/evo.12385en
dc.subjectCausationen
dc.subjectMultivariateen
dc.subjectNatural selectionen
dc.subjectPath analysisen
dc.subjectSecondary theorem of selectionen
dc.subjectSelection gradientsen
dc.subjectQH Natural historyen
dc.subjectBDCen
dc.subjectR2Cen
dc.subject.lccQHen
dc.titleSelection and evolution of causally covarying traitsen
dc.typeJournal articleen
dc.contributor.sponsorThe Royal Societyen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Centre for Biological Diversityen
dc.identifier.doihttps://doi.org/10.1111/evo.12385
dc.description.statusPeer revieweden
dc.date.embargoedUntil2015-04-16
dc.identifier.grantnumberUF130398en


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