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 fulfil 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. © The Author(s) 2024.
RRmorph—a new R package to map phenotypic evolutionary rates and patterns on 3D meshes / Melchionna, Marina; Castiglione, Silvia; Girardi, Giorgia; Serio, Carmela; Esposito, Antonella; Mondanaro, Alessandro; Profico, Antonio; Sansalone, Gabriele; Raia, Pasquale. - In: COMMUNICATIONS BIOLOGY. - ISSN 2399-3642. - 7:1(2024). [10.1038/s42003-024-06710-8]
RRmorph—a new R package to map phenotypic evolutionary rates and patterns on 3D meshes
Melchionna Marina
;Castiglione Silvia;Girardi Giorgia;Serio Carmela;Esposito Antonella;Raia Pasquale
2024
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 fulfil 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. © The Author(s) 2024.File | Dimensione | Formato | |
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