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Ancestral character estimation under the threshold model from quantitative genetics

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dc.creatorRevell, Liam Jamesspa
dc.date.accessioned2020-08-19T14:40:51Z
dc.date.available2020-08-19T14:40:51Z
dc.date.created2013-10-23spa
dc.description.abstractEvolutionary biology is a study of life's history on Earth. In researching this history, biologists are often interested in attempting to reconstruct phenotypes for the long extinct ancestors of living species. Various methods have been developed to do this on a phylogeny from the data for extant taxa. In the present article, I introduce a new approach for ancestral character estimation for discretely valued traits. This approach is based on the threshold model from evolutionary quantitative genetics. Under the threshold model, the value exhibited by an individual or species for a discrete character is determined by an underlying, unobserved continuous trait called “liability.” In this new method for ancestral state reconstruction, I use Bayesian Markov chain Monte Carlo (MCMC) to sample the liabilities of ancestral and tip species, and the relative positions of two or more thresholds, from their joint posterior probability distribution. Using data simulated under the model, I find that the method has very good performance in ancestral character estimation. Use of the threshold model for ancestral state reconstruction relies on a priori specification of the order of the discrete character states along the liability axis. I test the use of a Bayesian MCMC information theoretic criterion based approach to choose among different hypothesized orderings for the discrete character. Finally, I apply the method to the evolution of feeding mode in centrarchid fishes.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1111/evo.12300
dc.identifier.issnISSN: 0014-3820
dc.identifier.issnEISSN: 1558-5646
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/27050
dc.language.isoengspa
dc.publisherSociety for the Study of Evolutionspa
dc.relation.citationEndPage759
dc.relation.citationIssueNo. 3
dc.relation.citationStartPage743
dc.relation.citationTitleEvolution: International Journal of Organic Evolution
dc.relation.citationVolumeVol. 68
dc.relation.ispartofEvolution: International Journal of Organic Evolution, ISSN: 0014-3820;EISSN: 1558-5646, Vol.68, No.3 (March 2014); pp. 743-759spa
dc.relation.urihttps://onlinelibrary.wiley.com/doi/epdf/10.1111/evo.12300spa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.sourceEvolution: International Journal of Organic Evolutionspa
dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR
dc.subject.keywordBayesianspa
dc.subject.keywordCentrarchidaespa
dc.subject.keywordComparative methodspa
dc.subject.keywordDeviance information criterionspa
dc.subject.keywordInterspecific dataspa
dc.subject.keywordMarkov chain Monte Carlospa
dc.subject.keywordPhylogenetic treespa
dc.titleAncestral character estimation under the threshold model from quantitative geneticsspa
dc.title.TranslatedTitleEstimación del carácter ancestral bajo el modelo de umbral de la genética cuantitativaspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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