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Competition and fixation of cohorts of adaptive mutations under Fisher geometrical model

dc.contributor.authorMoura de Sousa, Jorge A.
dc.contributor.authorAlpedrinha, João
dc.contributor.authorCampos, Paulo R.A.
dc.contributor.authorGordo, Isabel
dc.date.accessioned2016-08-29T12:16:55Z
dc.date.available2016-08-29T12:16:55Z
dc.date.issued2016-08-02
dc.description.abstractOne of the simplest models of adaptation to a new environment is Fisher's Geometric Model (FGM), in which populations move on a multidimensional landscape defined by the traits under selection. The predictions of this model have been found to be consistent with current observations of patterns of fitness increase in experimentally evolved populations. Recent studies investigated the dynamics of allele frequency change along adaptation of microbes to simple laboratory conditions and unveiled a dramatic pattern of competition between cohorts of mutations, i.e., multiple mutations simultaneously segregating and ultimately reaching fixation. Here, using simulations, we study the dynamics of phenotypic and genetic change as asexual populations under clonal interference climb a Fisherian landscape, and ask about the conditions under which FGM can display the simultaneous increase and fixation of multiple mutations-mutation cohorts-along the adaptive walk. We find that FGM under clonal interference, and with varying levels of pleiotropy, can reproduce the experimentally observed competition between different cohorts of mutations, some of which have a high probability of fixation along the adaptive walk. Overall, our results show that the surprising dynamics of mutation cohorts recently observed during experimental adaptation of microbial populations can be expected under one of the oldest and simplest theoretical models of adaptation-FGM.pt_PT
dc.description.sponsorshipFundação para a Ciência e a Tecnologia; LAO/ITQB; Conselho Nacional de Desenvolvimento CientÌfico e Tecnologico (CNPq).pt_PT
dc.identifier.citationMoura de Sousa et al. (2016), Competition and fixation of cohorts of adaptive mutations under Fisher geometri- cal model. PeerJ 4:e2256; DOI 10.7717/peerj.2256pt_PT
dc.identifier.doi10.7717/peerj.2256pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.7/695
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherPeerJpt_PT
dc.relationMicrobial adaptation within ecosystems
dc.relationAdaptation of commensal bacteria to the mammalian gut
dc.relationEXPLORING ADAPTATION BEYOND FITNESS PEAKS
dc.relation.publisherversionhttps://peerj.com/articles/2256/pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectFisher Geometric Modelpt_PT
dc.subjectClonal interferencept_PT
dc.subjectGenetic hitchikingpt_PT
dc.subjectNatural selectionpt_PT
dc.titleCompetition and fixation of cohorts of adaptive mutations under Fisher geometrical modelpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMicrobial adaptation within ecosystems
oaire.awardTitleAdaptation of commensal bacteria to the mammalian gut
oaire.awardTitleEXPLORING ADAPTATION BEYOND FITNESS PEAKS
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/260421/EU
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FBIA-EVF%2F118075%2F2010/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F89151%2F2012/PT
oaire.citation.endPage17pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titlePeerJpt_PT
oaire.citation.volume4pt_PT
oaire.fundingStreamFP7
oaire.fundingStream3599-PPCDT
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameEuropean Commission
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isProjectOfPublication1f01df05-f8af-4e76-8dec-0fc6237b41fd
relation.isProjectOfPublication8a096e46-5521-429a-b9e8-8a7901fe8b30
relation.isProjectOfPublication85cd72e1-1c33-480c-ae77-f1effb2ee9cc
relation.isProjectOfPublication.latestForDiscovery1f01df05-f8af-4e76-8dec-0fc6237b41fd

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