Measuring phylogenetic signal between categorical traits and phylogenies
Author(s) -
Rui Borges,
João Paulo Machado,
Cidália Gomes,
Ana Paula Rocha,
Agostinho Antunes
Publication year - 2018
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bty800
Subject(s) - phylogenetic tree , phylogenetics , trait , biology , categorical variable , evolutionary biology , phylogenetic comparative methods , clade , phylogenetic network , genetics , statistics , gene , computer science , mathematics , programming language
Determining whether a trait and phylogeny share some degree of phylogenetic signal is a flagship goal in evolutionary biology. Signatures of phylogenetic signal can assist the resolution of a broad range of evolutionary questions regarding the tempo and mode of phenotypic evolution. However, despite the considerable number of strategies to measure it, few and limited approaches exist for categorical traits. Here, we used the concept of Shannon entropy and propose the δ statistic for evaluating the degree of phylogenetic signal between a phylogeny and categorical traits.
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