Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/63891
Title: RRmorph—a new R package to map phenotypic evolutionary rates and patterns on 3D meshes
Contributor(s): Melchionna, Marina (author); Castiglione, Silvia (author); Girardi, Giorgia (author); Serio, Carmela (author); Esposito, Antonella (author); Mondanaro, Alessandro (author); Profico, Antonio (author); Sansalone, Gabriele  (author)orcid ; Raia, Pasquale (author)
Publication Date: 2024-08-17
Open Access: Yes
DOI: 10.1038/s42003-024-06710-8
Handle Link: https://hdl.handle.net/1959.11/63891
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.

Publication Type: Journal Article
Source of Publication: Communications Biology, v.7, p. 1-9
Publisher: Nature Publishing Group
Place of Publication: United Kingdom
ISSN: 2399-3642
Fields of Research (FoR) 2020: 3705 Geology
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Environmental and Rural Science

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