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dc.contributor.authorFraïsse, Christelleen
dc.contributor.authorWelch, Johnen
dc.date.accessioned2019-03-12T00:31:07Z
dc.date.available2019-03-12T00:31:07Z
dc.date.issued2019-04en
dc.identifier.issn1744-9561
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/290466
dc.description.abstractFitness interactions between mutations can influence a population's evolution in many different ways. While epistatic effects are difficult to measure precisely, important information about the overall distribution is captured by the mean and variance of log fitnesses for individuals carrying different numbers of mutations. We derive predictions for these quantities from a class of simple fitness landscapes, based on models of optimizing selection on quantitative traits. We also explore extensions to the models, including modular pleiotropy, variable effects sizes, mutational bias, and maladaptation of the wild-type. We illustrate our approach by reanalysing a large data set of mutant effects in a yeast snoRNA. Though characterized by some large epistatic effects, these data give a good overall fit to the non-epistatic null model, suggesting that epistasis might have limited influence on the evolutionary dynamics in this system. We also show how the amount of epistasis depends on both the underlying fitness landscape, and the distribution of mutations, and so it is expected to vary in consistent ways between new mutations, standing variation, and fixed mutations.
dc.description.sponsorshipNA
dc.format.mediumPrinten
dc.languageengen
dc.publisherThe Royal Society
dc.subjectSaccharomyces cerevisiaeen
dc.subjectEvolution, Molecularen
dc.subjectEpistasis, Geneticen
dc.subjectPhenotypeen
dc.subjectMutationen
dc.subjectModels, Geneticen
dc.subjectGenetic Fitnessen
dc.titleThe distribution of epistasis on simple fitness landscapes.en
dc.typeArticle
prism.issueIdentifier4en
prism.publicationDate2019en
prism.publicationNameBiology lettersen
prism.startingPage20180881
prism.volume15en
dc.identifier.doi10.17863/CAM.37693
dcterms.dateAccepted2019-03-07en
rioxxterms.versionofrecord10.1098/rsbl.2018.0881en
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2019-04en
dc.contributor.orcidFraïsse, Christelle [0000-0001-8441-5075]
dc.contributor.orcidWelch, John [0000-0001-7049-7129]
dc.identifier.eissn1744-957X
rioxxterms.typeJournal Article/Reviewen
cam.orpheus.successThu Jan 30 10:48:48 GMT 2020 - Embargo updated*
rioxxterms.freetoread.startdate2019-04-30


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