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RRmorph—a new R package to map phenotypic evolutionary rates and patterns on 3D meshes

Marina Melchionna, Silvia Castiglione, Giorgia Girardi, Carmela Serio, Antonella Esposito, Alessandro Mondanaro, Antonio Profico, Gabriele Sansalone, Pasquale Raia

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

The study of evolutionary rates and patterns is the key to understand how natural selection shaped the current and past diversity of phenotypes. Phylogenetic comparative methods offer an array of solutions to undertake this challenging task, and help understanding phenotypic variation in full in most circumstances. However, complex, three-dimensional structures such as the skull and the brain serve disparate goals, and different portions of these phenotypes often fulfill different functions, making it hard to understand which parts truly were recruited by natural selection. In the recent past, we developed tools apt to chart evolutionary rate and patterns directly on three-dimensional shapes, according to their magnitude and direction. Here, we present further developments of these tools, which now allow to restitute the mapping of rates and patterns with full biological realism. The tools are condensed in a new R software package.

Original languageEnglish
Article number1009
Pages (from-to)1-9
JournalCommunications Biology
Volume7
DOIs
Publication statusPublished - 17 Aug 2024

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