A comparison of metrics for estimating phylogenetic signal under alternative evolutionary models
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Data
2012-09
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Editor
Sociedade Brasileira de Genética
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 ) 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.
Descrição
Palavras-chave
Autocorrelation, Phylogenetic eigenvector regression, Autoregressive method, Moran’s I, Pagel’s lambda, Blomberg’s K
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.