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RATES OF FITNESS DECLINE AND REBOUND SUGGEST PERVASIVE EPISTASIS

dc.contributor.authorPerfeito, L.
dc.contributor.authorSousa, A.
dc.contributor.authorBataillon, T.
dc.contributor.authorGordo, I.
dc.date.accessioned2015-12-22T15:01:18Z
dc.date.available2015-12-22T15:01:18Z
dc.date.issued2014-01
dc.description.abstractUnraveling the factors that determine the rate of adaptation is a major question in evolutionary biology. One key parameter is the effect of a new mutation on fitness, which invariably depends on the environment and genetic background. The fate of a mutation also depends on population size, which determines the amount of drift it will experience. Here, we manipulate both population size and genotype composition and follow adaptation of 23 distinct Escherichia coli genotypes. These have previously accumulated mutations under intense genetic drift and encompass a substantial fitness variation. A simple rule is uncovered: the net fitness change is negatively correlated with the fitness of the genotype in which new mutations appear--a signature of epistasis. We find that Fisher's geometrical model can account for the observed patterns of fitness change and infer the parameters of this model that best fit the data, using Approximate Bayesian Computation. We estimate a genomic mutation rate of 0.01 per generation for fitness altering mutations, albeit with a large confidence interval, a mean fitness effect of mutations of -0.01, and an effective number of traits nine in mutS(-) E. coli. This framework can be extended to confront a broader range of models with data and test different classes of fitness landscape models.pt_PT
dc.description.sponsorshipLAO/ITQB, FCT, Danish Council for Independent Research.pt_PT
dc.identifier.citationPerfeito, L., Sousa, A., Bataillon, T. and Gordo, I. (2014), RATES OF FITNESS DECLINE AND REBOUND SUGGEST PERVASIVE EPISTASIS. Evolution, 68: 150–162. doi: 10.1111/evo.12234pt_PT
dc.identifier.doi10.1111/evo.12234pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.7/543
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherWileypt_PT
dc.relationMicrobial adaptation within ecosystems
dc.relation.publisherversionhttp://onlinelibrary.wiley.com/doi/10.1111/evo.12234/abstractpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectEpistasispt_PT
dc.subjectfisher geometrical modelpt_PT
dc.subjectfitness recoverypt_PT
dc.subjectmutation accumulationpt_PT
dc.subjectrate of adaptationpt_PT
dc.titleRATES OF FITNESS DECLINE AND REBOUND SUGGEST PERVASIVE EPISTASISpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMicrobial adaptation within ecosystems
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/260421/EU
oaire.citation.endPage162pt_PT
oaire.citation.issue1pt_PT
oaire.citation.startPage150pt_PT
oaire.citation.titleEvolutionpt_PT
oaire.citation.volume68pt_PT
oaire.fundingStreamFP7
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isProjectOfPublication1f01df05-f8af-4e76-8dec-0fc6237b41fd
relation.isProjectOfPublication.latestForDiscovery1f01df05-f8af-4e76-8dec-0fc6237b41fd

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