School of Earth and Environmental Sciences, University of Manchester, Manchester M13 9PT, UK
Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK.
Biol Lett. 2018 Jun;14(6). doi: 10.1098/rsbl.2018.0263.
Reconstructing evolutionary histories requires accurate phylogenetic trees. Recent simulation studies suggest that probabilistic phylogenetic analyses of morphological data are more accurate than traditional parsimony techniques. Here, we use empirical data to compare Bayesian and parsimony phylogenies in terms of their congruence with the distribution of age ranges of the component taxa. Analysis of 167 independent morphological data matrices of fossil tetrapods finds that Bayesian trees exhibit significantly lower stratigraphic congruence than the equivalent parsimony trees. As such, taking stratigraphic data as an independent benchmark indicates that parsimony analyses are more accurate for phylogenetic reconstruction of morphological data. The discrepancy between simulated and empirical studies may result from historic data peaking practices or some complexities of empirical data as yet unaccounted for.
重建进化历史需要准确的系统发育树。最近的模拟研究表明,概率系统发育分析比传统简约技术更准确。在这里,我们使用经验数据比较贝叶斯和简约系统发育树在与组成分类单元的年龄范围分布的一致性方面。对 167 个独立的化石四足动物形态数据矩阵的分析发现,贝叶斯树的地层一致性明显低于等效简约树。因此,将地层数据作为独立的基准表明,简约分析对于形态数据的系统发育重建更为准确。模拟研究和经验研究之间的差异可能是由于历史数据峰值实践或一些尚未考虑的经验数据的复杂性所致。