Putting phylogeny into the analysis of biological traits: A methodological approach

Thibaut Jombart (1) , Sandrine Pavoine (2, 3) , Sébastien Devillard (4) , Dominique Pontier (4)

1 Division of Diabetes, Endocrinology & Metabolism
2 Mécanismes adaptatifs : des organismes aux communautés
3 CRBPO - Centre de Recherches sur la Biologie des Populations d’Oiseaux
4 LBBE - Laboratoire de Biométrie et Biologie Evolutive - UMR 5558

Phylogenetic comparative methods have long considered phylogenetic signal as a source of statistical bias in the correlative analysis of biological traits. However, the main life-history strategies existing in a set of taxa are often combinations of life history traits that are inherently phylogenetically structured. In this paper, we present a method for identifying evolutionary strategies from large sets of biological traits, using phylogeny as a source of meaningful historical and ecological information. Our methodology extends a multivariate method developed for the analysis of spatial patterns, and relies on finding combinations of traits that are phylogenetically autocorrelated. Using extensive simulations, we show that our method efficiently uncovers phylogenetic structures with respect to various tree topologies, and remains powerful in cases where a large majority of traits are not phylogenetically structured. Our methodology is illustrated using empirical data, and implemented in the free software R.

Mots clés: Phylogenetic principal component analysis; PPCA; Autocorrelation; Multivariate; Comparative method; Phylogenetic signal

Domaines: Autre [q-bio.OT]

Thibaut Jombart, Sandrine Pavoine, Sébastien Devillard, Dominique Pontier. Putting phylogeny into the analysis of biological traits: A methodological approach. Journal of Theoretical Biology, 2010, 264 (3), pp.693. ⟨10.1016/j.jtbi.2010.03.038⟩. ⟨hal-00591239⟩