Testing phylogenetic signal with categorical traits and tree uncertainty

• Type: Article in International Scientific Journal
• Date: 2023

Authors

Ribeiro, D (Author) Other; Borges, R (Author) Other; Rocha, AP (Author) FCUP; Agostinho Antunes (Author) FCUP

Journal

Title: Bioinformatics

Vol. 39

ISSN: 1367-4803

Publisher: Oxford University Press

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 1 Citation

Other information

Authenticus ID: P-00Y-S09

DOI: 10.1093/bioinformatics/btad433

Abstract (EN): The phylogenetic signal, frequently used to identify signatures of adaptive evolution or important associations between genes and phenotypes, measures the tendency for recently diverged species to resemble each other more than distantly related species. An example of such a measure is the d statistic, which uses Shannon entropy to measure the degree of phylogenetic signal between a categorical trait and a phylogeny. In this study, we refined this statistic to account for tree uncertainty, resulting in more accurate assessments of phylogenetic associations. In addition, we provided a more accessible and computationally efficient implementation of the d statistic that will facilitate its use by the evolutionary community.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 3