MACNBR   00242
MUSEO ARGENTINO DE CIENCIAS NATURALES "BERNARDINO RIVADAVIA"
Unidad Ejecutora - UE
artículos
Título:
Evaluating the clade size effect in alternative measures of branch support
Autor/es:
CHEMISQUY M.A.; PREVOSTI, F. J.
Revista:
JOURNAL OF ZOOLOGICAL SYSTEMATICS AND EVOLUTIONARY RESEARCH
Editorial:
WILEY-BLACKWELL PUBLISHING, INC
Referencias:
Lugar: Londres; Año: 2013 vol. 51 p. 260 - 260
ISSN:
0947-5745
Resumen:
The clade size effect refers to a bias that causes middle-sized clades to be less supported than small or large-sized clades. This bias is present in resamplingmeasures of support calculated under maximum likelihood and maximum parsimony and in Bayesian posterior probabilities. Previous analysesindicated that the clade size effect is worst in maximum parsimony, followed by maximum likelihood, while Bayesian inference is the least affected.Homoplasy was interpreted as the main cause of the effect. In this study, we explored the presence of the clade size effect in alternative measures ofbranch support under maximum parsimony: Bremer support and symmetric resampling, expressed as absolute frequencies and frequency differences.Analyses were performed using 50 molecular and morphological matrices. Symmetric resampling showed the same tendency that bootstrap and jackknifedid for maximum parsimony and maximum likelihood. Few matrices showed a signicant bias using Bremer support, presenting a better performancethan resampling measures of support and comparable to Bayesian posterior probabilities. Our results indicate that the problem is not maximumparsimony, but resampling measures of support. We corroborated the role of homoplasy as a possible cause of the clade size effect, increasing thenumber of random trees during the resampling, which together with the higher chances that medium-sized clades have of being contradicted generatesthe bias during the perturbation of the original matrix, making it stronger in resampling measures of support.