Repository logo
 

Genetic variance for behavioural 'predictability' of stress response.

cam.issuedOnline2020-02-27
cam.orpheus.successTue Mar 31 10:35:40 BST 2020 - Embargo updated
dc.contributor.authorPrentice, Pamela M
dc.contributor.authorHouslay, Thomas M
dc.contributor.authorMartin, Julien GA
dc.contributor.authorWilson, Alastair J
dc.contributor.orcidPrentice, Pamela M [0000-0002-6290-9581]
dc.date.accessioned2020-02-22T00:31:20Z
dc.date.available2020-02-22T00:31:20Z
dc.date.issued2020-05
dc.description.abstractGenetic factors underpinning phenotypic variation are required if natural selection is to result in adaptive evolution. However, evolutionary and behavioural ecologists typically focus on variation among individuals in their average trait values and seek to characterize genetic contributions to this. As a result, less attention has been paid to if and how genes could contribute towards within-individual variance or trait 'predictability'. In fact, phenotypic 'predictability' can vary among individuals, and emerging evidence from livestock genetics suggests this can be due to genetic factors. Here, we test this empirically using repeated measures of a behavioural stress response trait in a pedigreed population of wild-type guppies. We ask (a) whether individuals differ in behavioural predictability and (b) whether this variation is heritable and so evolvable under selection. Using statistical methodology from the field of quantitative genetics, we find support for both hypotheses and also show evidence of a genetic correlation structure between the behavioural trait mean and individual predictability. We show that investigating sources of variability in trait predictability is statistically tractable and can yield useful biological interpretation. We conclude that, if widespread, genetic variance for 'predictability' will have major implications for the evolutionary causes and consequences of phenotypic variation.
dc.description.sponsorshipThis work was supported by the Biotechnology and Biological Sciences Research Council (grant BB/L022656/1) and by a BBSRC studentship to PMP.
dc.format.mediumPrint-Electronic
dc.identifier.doi10.17863/CAM.49647
dc.identifier.eissn1420-9101
dc.identifier.issn1010-061X
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/302579
dc.languageeng
dc.language.isoeng
dc.publisherOxford University Press (OUP)
dc.publisher.urlhttp://dx.doi.org/10.1111/jeb.13601
dc.rightsAll rights reserved
dc.subjectbehavioural stress response
dc.subjectdouble hierarchical generalized linear model
dc.subjectheritability
dc.subjectpersonality
dc.subjectphenotypic variation
dc.subjectpredictability
dc.subjectquantitative genetics
dc.subjectwithin-individual variance
dc.subjectAnimals
dc.subjectEscape Reaction
dc.subjectFemale
dc.subjectGenetic Variation
dc.subjectMale
dc.subjectModels, Genetic
dc.subjectPoecilia
dc.subjectQuantitative Trait, Heritable
dc.titleGenetic variance for behavioural 'predictability' of stress response.
dc.typeArticle
dcterms.dateAccepted2020-01-30
prism.endingPage652
prism.issueIdentifier5
prism.publicationDate2020
prism.publicationNameJ Evol Biol
prism.startingPage642
prism.volume33
rioxxterms.licenseref.startdate2020-05
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeJournal Article/Review
rioxxterms.versionAM
rioxxterms.versionofrecord10.1111/jeb.13601

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Prentice_et_al-2020-Journal_of_Evolutionary_Biology.pdf
Size:
11.2 MB
Format:
Adobe Portable Document Format
Description:
Accepted version
Licence
http://www.rioxx.net/licenses/all-rights-reserved
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
DepositLicenceAgreementv2.1.pdf
Size:
150.9 KB
Format:
Adobe Portable Document Format