Department of Geological Sciences, Jackson School of Geosciences, The University of Texas at Austin, Austin TX 78712, USA.
Biol Lett. 2020 Aug;16(8):20200356. doi: 10.1098/rsbl.2020.0356. Epub 2020 Aug 26.
Genomic datasets generated by next-generation sequencing are increasingly prevalent in phylogenetics, but morphological data are required to phylogenetically place fossils, corroborate molecular hypotheses and date phylogenies. Combined-evidence analyses provide an integrative assessment of tree topology. However, no attempt has been made to simultaneously analyse next-generation genomic datasets and morphological data, and the future of morphology in the context of genomic data is uncertain. I conducted combined-evidence analyses that include genomic and morphological datasets, specifically, with ultraconserved elements and two morphological matrices. In unweighted maximum-likelihood and Bayesian combined-evidence analyses, morphological signal was dwarfed by the ultraconserved elements, and some node support values were reduced relative to ultraconserved element-only analyses. Increasing the weight of morphological characters allowed those data to influence the tree, but weighting subjectivity should be considered in future analyses. More attempts should be made to simultaneously analyse genomic and morphological datasets.
下一代测序产生的基因组数据集在系统发育学中越来越普遍，但需要形态数据来对化石进行系统发育定位、验证分子假说和对系统发育进行定年。综合证据分析提供了对树拓扑结构的综合评估。然而，目前还没有人试图同时分析下一代基因组数据集和形态数据，而且在基因组数据的背景下，形态学的未来尚不确定。我进行了综合证据分析，包括基因组和形态数据集，特别是使用超保守元件和两个形态矩阵。在无权重最大似然和贝叶斯综合证据分析中，形态信号被超保守元素所掩盖，与仅使用超保守元素的分析相比，一些节点支持值降低。增加形态特征的权重可以使这些数据影响树，但在未来的分析中应考虑权重的主观性。应该更多地尝试同时分析基因组和形态数据集。
