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Unboxing mutations: Connecting mutation types with evolutionary consequences

2021-05Artigo científico Acesso aberto
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dc.contributor.authorBerdan, Emma L.
dc.contributor.authorBlanckaert, Alexandre
dc.contributor.authorSlotte, Tanja
dc.contributor.authorSuh, Alexander
dc.contributor.authorWestram, Anja M.
dc.contributor.authorDe mendonça fragata almeida, Inês
dc.date.accessioned2021-07-16T11:13:50Z
dc.date.available2021-07-16T11:13:50Z
dc.date.issued2021-05
dc.description.abstractA key step in understanding the genetic basis of different evolutionary outcomes (e.g., adaptation) is to determine the roles played by different mutation types (e.g., SNPs, translocations and inversions). To do this we must simultaneously consider different mutation types in an evolutionary framework. Here, we propose a research framework that directly utilizes the most important characteristics of mutations, their population genetic effects, to determine their relative evolutionary significance in a given scenario. We review known population genetic effects of different mutation types and show how these may be connected to different evolutionary outcomes. We provide examples of how to implement this framework and pinpoint areas where more data, theory and synthesis are needed. Linking experimental and theoretical approaches to examine different mutation types simultaneously is a critical step towards understanding their evolutionary significance.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBerdan EL, Blanckaert A, Slotte T, Suh A, Westram AM, Fragata I. Unboxing mutations: Connecting mutation types with evolutionary consequences. Mol Ecol. 2021;30:2710–2723. https://doi.org/10.1111/ mec.15936pt_PT
dc.identifier.doi10.1111/mec.15936pt_PT
dc.identifier.urihttp://hdl.handle.net/10451/48968
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationSvenska Forskningsrådet Formas, Grant/ Award Number: 2017-01597;pt_PT
dc.relationH2020 European Research Council, Grant/ Award Number: 757451 and 797747;pt_PT
dc.relationFCT CEECIND/02616/2018pt_PT
dc.relationVetenskapsrådet, Grant/Award Number: 2016-05139 and 2019-04452pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/pt_PT
dc.subjectAdaptation, Physiologicalpt_PT
dc.subjectChromosome Inversionpt_PT
dc.subjectMutationpt_PT
dc.subjectMutation Ratept_PT
dc.subjectPopulation Densitypt_PT
dc.subjectSelection, Geneticpt_PT
dc.subjectBiological Evolutionpt_PT
dc.subjectGenetics, Populationpt_PT
dc.subjectModels, Geneticpt_PT
dc.titleUnboxing mutations: Connecting mutation types with evolutionary consequencespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage2723pt_PT
oaire.citation.issue12pt_PT
oaire.citation.startPage2710pt_PT
oaire.citation.titleMolecular Ecologypt_PT
oaire.citation.volume30pt_PT
person.familyNameLopes de Mendonça Fragata Almeida
person.givenNameInês Regina
person.identifierResearcherID: I-9876-2014
person.identifier.ciencia-idF812-23C0-FEC5
person.identifier.orcid0000-0001-6865-1510
person.identifier.scopus-author-id24474345000
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication56a3ed3e-c763-4ecc-855d-2ac479a1585b
relation.isAuthorOfPublication.latestForDiscovery56a3ed3e-c763-4ecc-855d-2ac479a1585b

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