Aubier Paul, Rineau Valentin, Cubo Jorge, Jouve Stéphane
Centre de Recherche en Paléontologie - Paris (CR2P, UMR 7207), Sorbonne Université, Muséum National d'Histoire Naturelle, CNRS, Paris 75005, France.
Syst Biol. 2025 Aug 27. doi: 10.1093/sysbio/syaf058.
Numerous tools have been developed since the advent of phylogenetic methods to assess tree robustness. Identifying the degree of contradiction in a phylogenetic matrix, as well as the specific contribution of each taxon and character, is essential for estimating its reliability. In parsimony-based phylogenetic inferences, classically used by paleontologists, a phylogeny results from the interaction of all the characters used in the analysis. Consequently, the support initially provided by the characters in the matrix may differ from that after after optimization in the final tree, severing the link between the phylogenetic content of the matrix and that of the final tree. Thus, all methods aimed at measuring support only do so indirectly and the impact of individual characters or taxa can only be assessed after the analysis. Three-taxon analysis (3ta) is a phylogenetic method that can circumvent these issues by precisely measuring the support of targeted characters and/or taxa directly from the phylogenetic matrix. In 3ta, characters are coded as trees and decomposed into three-taxon statements (3ts). The analysis searches for the largest set of non-contradicting 3ts to compute the optimal phylogeny. Because the analysis is a compatibility procedure, not an optimization procedure, character supports on the tree are independent from one another. This enables direct assessment of support from the matrix, providing meaningful insights into the topology of the optimal trees. Moreover, the decomposition of characters into 3ts allows for precise quantification of the impact of the characters/taxa in the results. In this study, focusing on Crocodylia (a subject of ongoing debate over recent decades), we use 3ta to measure the support of specific characters and/or taxa in the recently published matrix of Rio and Mannion (2021). This conflict revolves around two competing hypotheses - Longirostres and Brevirostres - supporting a different placement of the Gavialoidea clade. We also introduce here the Relative Contradiction Index (RCI) to evaluate node support, a metric that reflects the degree of contradiction in a matrix between competing cladistic hypotheses, ranging from 0.5 (maximum contradiction) to 1 (no contradiction). We show that although the Longirostres hypothesis is the best-supported, it is strongly challenged by the Brevirostres hypothesis (RCI = 0.62). Furthermore, we find that Tomistominae provides 61% of the supporting evidence for the Longirostres hypothesis, such that, when removed, the matrix supports the Brevirostres hypothesis. Individual tomistomines' contributions vary only from 2% to 7% of the total support to the Longirostres hypothesis. Finally, we show that characters correlated to longirostry only provide a fraction (22%) of the total support to the Longirostres hypothesis. Thus, our method can quantify the impact of specific characters or taxa on a phylogenetic result. This should prove very useful to phylogeneticists, especially when dealing with incomplete material such as fossils.
自从系统发育方法出现以来,已经开发了许多工具来评估树的稳健性。识别系统发育矩阵中的矛盾程度,以及每个分类单元和特征的具体贡献,对于估计其可靠性至关重要。在古生物学家经典使用的基于简约法的系统发育推断中,系统发育是分析中使用的所有特征相互作用的结果。因此,矩阵中特征最初提供的支持可能与最终树中优化后的支持不同,切断了矩阵的系统发育内容与最终树的系统发育内容之间的联系。因此,所有旨在测量支持度的方法都只是间接进行的,单个特征或分类单元的影响只能在分析后进行评估。三分类单元分析(3ta)是一种系统发育方法,它可以通过直接从系统发育矩阵中精确测量目标特征和/或分类单元的支持度来规避这些问题。在3ta中,特征被编码为树,并分解为三分类单元陈述(3ts)。分析搜索最大的一组不矛盾的3ts来计算最优系统发育。由于该分析是一个兼容性过程,而不是一个优化过程,树上的特征支持度相互独立。这使得能够直接从矩阵中评估支持度,为最优树的拓扑结构提供有意义的见解。此外,将特征分解为3ts可以精确量化特征/分类单元在结果中的影响。在本研究中,我们聚焦于鳄形目(近几十年来一直存在争议的一个主题),使用3ta来测量Rio和Mannion(2021年)最近发表的矩阵中特定特征和/或分类单元的支持度。这场争论围绕着两个相互竞争的假说——长吻类和短吻类——它们支持 Gavialoidea 分支的不同位置。我们在此还引入了相对矛盾指数(RCI)来评估节点支持度,这是一个反映竞争分支假说之间矩阵中矛盾程度的指标,范围从0.5(最大矛盾)到1(无矛盾)。我们表明,尽管长吻类假说是得到最多支持的,但它受到短吻类假说的强烈挑战(RCI = 0.62)。此外,我们发现细吻鳄亚科为长吻类假说提供了61%的支持证据,因此,当去除该亚科时,矩阵支持短吻类假说。单个细吻鳄属物种的贡献仅占对长吻类假说总支持度的2%至7%。最后,我们表明与长吻相关的特征仅为长吻类假说提供了总支持度的一小部分(22%)。因此,我们的方法可以量化特定特征或分类单元对系统发育结果的影响。这对系统发育学家应该非常有用,尤其是在处理诸如化石等不完整材料时。