Show simple item record

Files in this item

Thumbnail

Item metadata

dc.contributor.authorWalling, Craig
dc.contributor.authorMorrissey, Michael Blair
dc.contributor.authorFoerster, Katharina
dc.contributor.authorClutton-Brock, Tim
dc.contributor.authorPemberton, Josephine
dc.contributor.authorKruuk, Loeske
dc.date.accessioned2015-01-15T12:01:02Z
dc.date.available2015-01-15T12:01:02Z
dc.date.issued2014-12-01
dc.identifier.citationWalling , C , Morrissey , M B , Foerster , K , Clutton-Brock , T , Pemberton , J & Kruuk , L 2014 , ' A multivariate analysis of genetic constraints to life history evolution in a wild population of red deer ' , Genetics , vol. 198 , no. 4 , pp. 1735-1749 . https://doi.org/10.1534/genetics.114.164319en
dc.identifier.issn0016-6731
dc.identifier.otherPURE: 159492957
dc.identifier.otherPURE UUID: 265182ad-643c-47a8-8b02-fb25b329ba61
dc.identifier.otherScopus: 84915821685
dc.identifier.otherWOS: 000346059300029
dc.identifier.urihttps://hdl.handle.net/10023/6005
dc.descriptionThe long-term study has been largely funded by the Natural Environment Research Council (NERC). This research was supported by a NERC grant (to L.E.B.K., T.H.C.-B., and J.M.P.), a NERC postdoctoral fellowship (to C.A.W.), a National Sciences and Engineering Research Council postdoctoral fellowship (to M.B.M.), and an Australian Research Council Future Fellowship (to L.E.B.K.).en
dc.description.abstractEvolutionary theory predicts that genetic constraints should be widespread, but empirical support for their existence is surprisingly rare. Commonly applied univariate and bivariate approaches to detecting genetic constraints can underestimate their prevalence, with important aspects potentially tractable only within a multivariate framework. However, multivariate genetic analyses of data from natural populations are challenging because of modest sample sizes, incomplete pedigrees, and missing data. Here we present results from a study of a comprehensive set of life history traits (juvenile survival, age at first breeding, annual fecundity, and longevity) for both males and females in a wild, pedigreed, population of red deer (Cervus elaphus). We use factor analytic modeling of the genetic variance–covariance matrix (G) to reduce the dimensionality of the problem and take a multivariate approach to estimating genetic constraints. We consider a range of metrics designed to assess the effect of G on the deflection of a predicted response to selection away from the direction of fastest adaptation and on the evolvability of the traits. We found limited support for genetic constraint through genetic covariances between traits, both within sex and between sexes. We discuss these results with respect to other recent findings and to the problems of estimating these parameters for natural populations.
dc.format.extent15
dc.language.isoeng
dc.relation.ispartofGeneticsen
dc.rightsCopyright © 2014 Walling et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en
dc.subjectGenetic correlationsen
dc.subjectLife history trade-offen
dc.subjectHeritabilityen
dc.subjectSexual antagonismen
dc.subjectSelectionen
dc.subjectQH301 Biologyen
dc.subjectQH426 Geneticsen
dc.subject.lccQH301en
dc.subject.lccQH426en
dc.titleA multivariate analysis of genetic constraints to life history evolution in a wild population of red deeren
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Centre for Biological Diversityen
dc.identifier.doihttps://doi.org/10.1534/genetics.114.164319
dc.description.statusPeer revieweden
dc.identifier.urlhttp://www.genetics.org/content/198/4/1735/suppl/DC1en


This item appears in the following Collection(s)

Show simple item record