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dc.contributor.authorThome, Maria Tereza C. [UNESP]
dc.contributor.authorCarstens, Bryan C.
dc.date.accessioned2018-11-26T16:48:28Z
dc.date.available2018-11-26T16:48:28Z
dc.date.issued2016-07-19
dc.identifierhttp://dx.doi.org/10.1073/pnas.1601064113
dc.identifier.citationProceedings Of The National Academy Of Sciences Of The United States Of America. Washington: Natl Acad Sciences, v. 113, n. 29, p. 8010-8017, 2016.
dc.identifier.issn0027-8424
dc.identifier.urihttp://hdl.handle.net/11449/161749
dc.description.abstractPhylogeographic research investigates biodiversity at the interface between populations and species, in a temporal and geographic context. Phylogeography has benefited from analytical approaches that allow empiricists to estimate parameters of interest from the genetic data (e.g., theta = 4Ne mu, population divergence, gene flow), and the widespread availability of genomic data allow such parameters to be estimated with greater precision. However, the actual inferences made by phylogeographers remain dependent on qualitative interpretations derived from these parameters' values and as such may be subject to overinterpretation and confirmation bias. Here we argue in favor of using an objective approach to phylogeographic inference that proceeds by calculating the probability of multiple demographic models given the data and the subsequent ranking of these models using information theory. We illustrate this approach by investigating the diversification of two sister species of four-eyed frogs of northeastern Brazil using single nucleotide polymorphisms obtained via restriction-associated digest sequencing. We estimate the composite likelihood of the observed data given nine demographic models and then rank these models using Akaike information criterion. We demonstrate that estimating parameters under a model that is a poor fit to the data is likely to produce values that lead to spurious phylogeographic inferences. Our results strongly imply that identifying which parameters to estimate from a given system is a key step in the process of phylogeographic inference and is at least as important as being able to generate precise estimates of these parameters. They also illustrate that the incorporation of model uncertainty should be a component of phylogeographic hypothesis tests.en
dc.description.sponsorshipFundacao Grupo Boticario de Protecao a Natureza Grant
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.format.extent8010-8017
dc.language.isoeng
dc.publisherNatl Acad Sciences
dc.relation.ispartofProceedings Of The National Academy Of Sciences Of The United States Of America
dc.sourceWeb of Science
dc.subjectinformation theory
dc.subjectmodel selection
dc.subjectPleurodema
dc.subjectsite frequency spectrum
dc.subjectCaatinga
dc.titlePhylogeographic model selection leads to insight into the evolutionary history of four-eyed frogsen
dc.typeArtigo
dcterms.rightsHolderNatl Acad Sciences
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionOhio State Univ
dc.description.affiliationUniv Estadual Paulista, Inst Biociencias, Dept Zool, Campus Rio Claro, BR-13506900 Rio Claro, SP, Brazil
dc.description.affiliationOhio State Univ, Dept Evolut Ecol & Organismal Biol, Columbus, OH 43210 USA
dc.description.affiliationUnespUniv Estadual Paulista, Inst Biociencias, Dept Zool, Campus Rio Claro, BR-13506900 Rio Claro, SP, Brazil
dc.identifier.doi10.1073/pnas.1601064113
dc.identifier.wosWOS:000380224500035
dc.rights.accessRightsAcesso restrito
dc.description.sponsorshipIdFundacao Grupo Boticario de Protecao a Natureza Grant: 0909_20112
dc.description.sponsorshipIdFAPESP: 2012/50255-2
dc.description.sponsorshipIdFAPESP: 2011/51392-0
dc.description.sponsorshipIdFAPESP: 2013/09088-8
dc.relation.ispartofsjr6,092
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