Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/116442
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dc.contributor.authorHuber, C.D.en
dc.contributor.authorKim, B.Y.en
dc.contributor.authorMarsden, C.D.en
dc.contributor.authorLohmueller, K.E.en
dc.date.issued2017en
dc.identifier.citationProceedings of the National Academy of Sciences, 2017; 114(17):4465-4470en
dc.identifier.issn1091-6490en
dc.identifier.issn1091-6490en
dc.identifier.urihttp://hdl.handle.net/2440/116442-
dc.description.abstractOur study addresses two fundamental questions regarding the effect of random mutations on fitness: First, do fitness effects differ between species when controlling for demographic effects? Second, what are the responsible biological factors? We show that amino acid-changing mutations in humans are, on average, more deleterious than mutations in Drosophila. We demonstrate that the only theoretical model that is fully consistent with our results is Fisher’s geometrical model. This result indicates that species complexity, as well as distance of the population to the fitness optimum, modulated by long-term population size, are the key drivers of the fitness effects of new amino acid mutations. Other factors, like protein stability and mutational robustness, do not play a dominant role.en
dc.description.statementofresponsibilityChristian D. Huber, Bernard Y. Kim, Clare D. Marsden and Kirk E. Lohmuelleren
dc.language.isoenen
dc.publisherNational Academy of Sciencesen
dc.rightsFreely available online through the PNAS open access option. The author(s) retains copyright to individual PNAS articles, and the National Academy of Sciences of the United States of America (NAS) holds copyright to the collective work and retains an exclusive License to Publish these articles, except for open access articles submitted beginning September 2017. For such open access articles, NAS retains a nonexclusive License to Publish, and these articles are distributed under either a CC BY-NC-ND or CC BY license.en
dc.subjectDistribution of fitness effects; mutational robustness; protein stability; Fisher’s geometrical model; poisson random fielden
dc.titleDetermining the factors driving selective effects of new nonsynonymous mutationsen
dc.typeJournal articleen
dc.identifier.rmid0030102324en
dc.identifier.doi10.1073/pnas.1619508114en
dc.identifier.pubid445883-
pubs.library.collectionPhysiology publicationsen
pubs.library.teamDS10en
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
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