Data/hora: 08/06/2024 07:13:18

Provedor de dados: | 74
País: | Brazil
Título: | A comparison of metrics for estimating phylogenetic signal under alternative evolutionary models
Autores: | Diniz-Filho,José Alexandre F.; Santos,Thiago; Rangel,Thiago Fernando; Bini,Luis Mauricio.
Data: | 2012-01-01
Ano: | 2012
Palavras-chave: | Autocorrelation; Blomberg's K; Pagel's lambda; Autoregressive method; Moran's I; Phylogenetic eigenvector regression.
Resumo: | 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 λ) 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.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572012000400019
Editor: | Sociedade Brasileira de Genética
Relação: | 10.1590/S1415-47572012005000053
Formato: | text/html
Fonte: | Genetics and Molecular Biology  v.35 n.3 2012
Fonte: | info:eu-repo/semantics/openAccess