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RRmorph:一个新的 R 包,用于在 3D 网格上绘制表型进化率和模式。

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

机构信息

DiSTAR, University of Naples Federico II, Naples, Italy.

DST, University of Florence, Florence, Italy.

出版信息

Commun Biol. 2024 Aug 17;7(1):1009. doi: 10.1038/s42003-024-06710-8.

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.

摘要

进化率和模式的研究是理解自然选择如何塑造当前和过去表型多样性的关键。系统发育比较方法为完成这一具有挑战性的任务提供了一系列解决方案,并有助于在大多数情况下全面了解表型变异。然而,颅骨和大脑等复杂的三维结构服务于不同的目标,这些表型的不同部分通常执行不同的功能,这使得很难理解哪些部分真正被自然选择所招募。在最近的过去,我们开发了根据其大小和方向直接在三维形状上绘制进化率和模式的工具。在这里,我们提出了这些工具的进一步发展,现在它们允许以完全的生物学现实主义恢复对速率和模式的映射。这些工具被浓缩在一个新的 R 软件包中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92b7/11330470/46b58a836f28/42003_2024_6710_Fig1_HTML.jpg

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