Caparros Miguel, Prat Sandrine
UMR 7194 "Histoire naturelle de l'Homme préhistorique" CNRS-MNHN-UPVD, Alliance Sorbonne Université, Musée de l'Homme, Palais de Chaillot, 17 place du Trocadéro, 75116 Paris, France.
iScience. 2021 Mar 25;24(4):102359. doi: 10.1016/j.isci.2021.102359. eCollection 2021 Apr 23.
We present a methodological phylogenetic reconstruction approach combining Maximum Parsimony and Phylogenetic Networks methods for the study of human evolution applied to phenotypic craniodental characters of 22 hominin species. The approach consists in selecting and validating a tree-like most parsimonious scenario out of several parsimony runs based on various numerical constraints. An intermediate step from tree to network methods is implemented by running an analysis with a reduced apomorphous character dataset that generates multiple parsimonious trees. These most parsimonious trees are then used as input for a Phylogenetic Networks analysis that results in consensus and reticulate networks. We show here that the phylogenetic tree-like definition of the genus is a relative concept linked to craniodental characters that come in support of hypothetical Last Common Ancestors of the most parsimonious scenario and infer that the reticulate network concords with recent findings in paleogenomic research regarding its mode of evolution.
我们提出了一种系统发育重建方法,该方法结合了最大简约法和系统发育网络法,用于研究人类进化,并应用于22种古人类物种的颅牙表型特征。该方法包括基于各种数值约束,从多个简约分析中选择并验证一个树状的最简约方案。从树状方法到网络方法的中间步骤是通过对一个减少的衍生性状数据集进行分析来实现的,该数据集会生成多个最简约树。然后,这些最简约树被用作系统发育网络分析的输入,从而得出共识网络和网状网络。我们在此表明,该属的系统发育树状定义是一个与颅牙特征相关的相对概念,这些特征支持最简约方案中假设的最近共同祖先,并推断网状网络与其进化模式的古基因组研究最新发现相一致。