Use este identificador para citar ou linkar para este item: http://repositorio.bc.ufg.br/handle/ri/11411
Tipo do documento: Artigo
Título: A comparison of metrics for estimating phylogenetic signal under alternative evolutionary models
Autor: Diniz Filho, José Alexandre Felizola
Santos, Thiago
Rangel, Thiago Fernando Lopes do Valle de Britto
Bini, Luis Mauricio
Abstract: Several metrics have been developed for estimating phylogenetic signal in comparative data. These may be important both in guiding future studies on correlated evolution and for inferring broad-scale evolutionary and ecological processes (e.g., phylogenetic niche conservatism). Notwithstanding, the validity of some of these metrics is under debate, especially after the development of more sophisticated model-based approaches that estimate departure from particular evolutionary models (i.e., Brownian motion). Here, two of these model-based metrics (Blomberg’s K-statistics and Pagel’s ) are compared with three statistical approaches [Moran’s I autocorrelation coefficient, coefficients of determination from the autoregressive method (ARM), and phylogenetic eigenvector regression (PVR)]. Based on simulations of a trait evolving under Brownian motion for a phylogeny with 209 species, we showed that all metrics are strongly, although non-linearly, correlated to each other. Our analyses revealed that statistical approaches provide valid results and may be still particularly useful when detailed phylogenies are unavailable or when trait variation among species is difficult to describe by more standard Brownian or O-U evolutionary models.
Palavras-chave: Autocorrelation
Phylogenetic eigenvector regression
Autoregressive method
Moran’s I
Pagel’s lambda
Blomberg’s K
País: Brasil
Instituição: Sociedade Brasileira de Genética
Unidade acadêmica: Instituto de Ciências Biológicas - ICB (RG)
Citação: DINIZ FILHO, José Alexandre F.; SANTOS, Thiago; RANGEL, Thiago Fernando; BINI, Luis Mauricio. A comparison of metrics for estimating phylogenetic signal under alternative evolutionary models. Genetics and Molecular Biology, Ribeirão Preto, v. 35, n. 3, p. 673-679, 2012.
Tipo de acesso: Acesso Aberto
URI: http://repositorio.bc.ufg.br/handle/ri/11411
Data de publicação: Set-2012
Aparece nas coleções:ICB - Artigos publicados em periódicos

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