Fitting models of continuous trait evolution to incompletely sampled comparative data using approximate bayesian computation
In recent years, a suite of methods has been developed to fit multiple rate models to phylogenetic comparative data. However, most methods have limited utility at broad phylogenetic scales because they typically require complete sampling of both the tree and the associated phenotypic data. Here, we...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2011
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/27744
- Acceso en línea:
- https://doi.org/10.1111/j.1558-5646.2011.01474.x
https://repository.urosario.edu.co/handle/10336/27744
- Palabra clave:
- Approximate Bayesian computation
Brownian motion
Carnivora
Comparative methods
Evolutionary rates
Incomplete phylogenies
- Rights
- License
- Abierto (Texto Completo)
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Repositorio EdocUR - U. Rosario |
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e6291b32-1b21-4e43-8d74-620d755a6769-14b08f6d5-2b22-4ae4-b0bd-e4bc5178e50b-1cbef191c-7950-4648-8d81-d98068957060-1dba860b4-6d64-4883-9ac9-cd36cd44a5c6-15fe626cc-9fa8-40ff-a954-105329f7fd2d-13b45c9ba-0303-4016-b464-b6b40e9e5e64-12020-08-19T14:43:38Z2020-08-19T14:43:38Z2011-10-03In recent years, a suite of methods has been developed to fit multiple rate models to phylogenetic comparative data. However, most methods have limited utility at broad phylogenetic scales because they typically require complete sampling of both the tree and the associated phenotypic data. Here, we develop and implement a new, tree?based method called MECCA (Modeling Evolution of Continuous Characters using ABC) that uses a hybrid likelihood/approximate Bayesian computation (ABC)?Markov?Chain Monte Carlo approach to simultaneously infer rates of diversification and trait evolution from incompletely sampled phylogenies and trait data. We demonstrate via simulation that MECCA has considerable power to choose among single versus multiple evolutionary rate models, and thus can be used to test hypotheses about changes in the rate of trait evolution across an incomplete tree of life. We finally apply MECCA to an empirical example of body size evolution in carnivores, and show that there is no evidence for an elevated rate of body size evolution in the pinnipeds relative to terrestrial carnivores. ABC approaches can provide a useful alternative set of tools for future macroevolutionary studies where likelihood?dependent approaches are lacking.application/pdfhttps://doi.org/10.1111/j.1558-5646.2011.01474.xISSN: 0014-3820EISSN: 1558-5646https://repository.urosario.edu.co/handle/10336/27744engSociety for the Study of Evolution762No. 3752Evolution: International Journal of Organic EvolutionVol. 66Evolution: International Journal of Organic Evolution, ISSN: 0014-3820;EISSN: 1558-5646, Vol.66, No.3 (March 2011); pp. 752-762https://onlinelibrary.wiley.com/doi/epdf/10.1111/j.1558-5646.2011.01474.xAbierto (Texto Completo)http://purl.org/coar/access_right/c_abf2Evolution: International Journal of Organic Evolutioninstname:Universidad del Rosarioreponame:Repositorio Institucional EdocURApproximate Bayesian computationBrownian motionCarnivoraComparative methodsEvolutionary ratesIncomplete phylogeniesFitting models of continuous trait evolution to incompletely sampled comparative data using approximate bayesian computationAjuste de modelos de evolución continua de rasgos a datos comparativos muestreados de forma incompleta utilizando cálculo bayesiano aproximadoarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Slater, Graham J.Harmon, Luke J.Wegmann, DanielJoyce, PaulRevell, Liam J.Alfaro, Michael E.10336/27744oai:repository.urosario.edu.co:10336/277442021-06-03 00:50:18.43https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co |
dc.title.spa.fl_str_mv |
Fitting models of continuous trait evolution to incompletely sampled comparative data using approximate bayesian computation |
dc.title.TranslatedTitle.spa.fl_str_mv |
Ajuste de modelos de evolución continua de rasgos a datos comparativos muestreados de forma incompleta utilizando cálculo bayesiano aproximado |
title |
Fitting models of continuous trait evolution to incompletely sampled comparative data using approximate bayesian computation |
spellingShingle |
Fitting models of continuous trait evolution to incompletely sampled comparative data using approximate bayesian computation Approximate Bayesian computation Brownian motion Carnivora Comparative methods Evolutionary rates Incomplete phylogenies |
title_short |
Fitting models of continuous trait evolution to incompletely sampled comparative data using approximate bayesian computation |
title_full |
Fitting models of continuous trait evolution to incompletely sampled comparative data using approximate bayesian computation |
title_fullStr |
Fitting models of continuous trait evolution to incompletely sampled comparative data using approximate bayesian computation |
title_full_unstemmed |
Fitting models of continuous trait evolution to incompletely sampled comparative data using approximate bayesian computation |
title_sort |
Fitting models of continuous trait evolution to incompletely sampled comparative data using approximate bayesian computation |
dc.subject.keyword.spa.fl_str_mv |
Approximate Bayesian computation Brownian motion Carnivora Comparative methods Evolutionary rates Incomplete phylogenies |
topic |
Approximate Bayesian computation Brownian motion Carnivora Comparative methods Evolutionary rates Incomplete phylogenies |
description |
In recent years, a suite of methods has been developed to fit multiple rate models to phylogenetic comparative data. However, most methods have limited utility at broad phylogenetic scales because they typically require complete sampling of both the tree and the associated phenotypic data. Here, we develop and implement a new, tree?based method called MECCA (Modeling Evolution of Continuous Characters using ABC) that uses a hybrid likelihood/approximate Bayesian computation (ABC)?Markov?Chain Monte Carlo approach to simultaneously infer rates of diversification and trait evolution from incompletely sampled phylogenies and trait data. We demonstrate via simulation that MECCA has considerable power to choose among single versus multiple evolutionary rate models, and thus can be used to test hypotheses about changes in the rate of trait evolution across an incomplete tree of life. We finally apply MECCA to an empirical example of body size evolution in carnivores, and show that there is no evidence for an elevated rate of body size evolution in the pinnipeds relative to terrestrial carnivores. ABC approaches can provide a useful alternative set of tools for future macroevolutionary studies where likelihood?dependent approaches are lacking. |
publishDate |
2011 |
dc.date.created.spa.fl_str_mv |
2011-10-03 |
dc.date.accessioned.none.fl_str_mv |
2020-08-19T14:43:38Z |
dc.date.available.none.fl_str_mv |
2020-08-19T14:43:38Z |
dc.type.eng.fl_str_mv |
article |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.spa.spa.fl_str_mv |
Artículo |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1111/j.1558-5646.2011.01474.x |
dc.identifier.issn.none.fl_str_mv |
ISSN: 0014-3820 EISSN: 1558-5646 |
dc.identifier.uri.none.fl_str_mv |
https://repository.urosario.edu.co/handle/10336/27744 |
url |
https://doi.org/10.1111/j.1558-5646.2011.01474.x https://repository.urosario.edu.co/handle/10336/27744 |
identifier_str_mv |
ISSN: 0014-3820 EISSN: 1558-5646 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.citationEndPage.none.fl_str_mv |
762 |
dc.relation.citationIssue.none.fl_str_mv |
No. 3 |
dc.relation.citationStartPage.none.fl_str_mv |
752 |
dc.relation.citationTitle.none.fl_str_mv |
Evolution: International Journal of Organic Evolution |
dc.relation.citationVolume.none.fl_str_mv |
Vol. 66 |
dc.relation.ispartof.spa.fl_str_mv |
Evolution: International Journal of Organic Evolution, ISSN: 0014-3820;EISSN: 1558-5646, Vol.66, No.3 (March 2011); pp. 752-762 |
dc.relation.uri.spa.fl_str_mv |
https://onlinelibrary.wiley.com/doi/epdf/10.1111/j.1558-5646.2011.01474.x |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.acceso.spa.fl_str_mv |
Abierto (Texto Completo) |
rights_invalid_str_mv |
Abierto (Texto Completo) http://purl.org/coar/access_right/c_abf2 |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
Society for the Study of Evolution |
dc.source.spa.fl_str_mv |
Evolution: International Journal of Organic Evolution |
institution |
Universidad del Rosario |
dc.source.instname.none.fl_str_mv |
instname:Universidad del Rosario |
dc.source.reponame.none.fl_str_mv |
reponame:Repositorio Institucional EdocUR |
repository.name.fl_str_mv |
Repositorio institucional EdocUR |
repository.mail.fl_str_mv |
edocur@urosario.edu.co |
_version_ |
1814167670969335808 |