Benton M J
Department of Earth Sciences, University of Bristol, Bristol, BS8 1RJ, United Kingdom.
Mol Phylogenet Evol. 1998 Jun;9(3):398-407. doi: 10.1006/mpev.1998.0492.
Tests of a sample of 206 cladograms of mammals show that morphological data seem to predict phylogenies that match the known fossil record better than molecular trees. Three metrics that assess the rank order of branching points, the stratigraphic consistency of those nodes, and the ratio of ghost range to known range show a considerable diversity of values. Some published trees show excellent matching with fossil-record data; others show almost no correspondence whatsoever. Morphological trees are nearly twice as good as molecular trees in terms of matching of the rank orders of nodes and oldest fossils, while morphological trees are 10% better than molecular in terms of stratigraphic consistency of the nodes. The ratios of ghost range to known range are lower for molecular trees. Among the molecular trees, those based on gene data are considerably better than those based on protein sequences, at least in terms of the rank order of nodes and the stratigraphic consistency of nodes. Protein trees, however, were best of all in terms of minimizing the proportion of ghost range. These findings probably indicate real phenomena, but the match of molecular trees to the expectations of stratigraphy may improve as the study of molecular phylogeny matures.
对206个哺乳动物分支图样本的测试表明,形态学数据似乎比分子树能更好地预测与已知化石记录相匹配的系统发育。评估分支点排序、这些节点的地层一致性以及幽灵范围与已知范围之比的三个指标显示出相当大的数值差异。一些已发表的树状图与化石记录数据匹配良好;而另一些则几乎没有任何对应关系。在节点排序和最古老化石的匹配方面,形态学树状图几乎是分子树状图的两倍,而在节点的地层一致性方面,形态学树状图比分子树状图好10%。分子树状图的幽灵范围与已知范围之比更低。在分子树状图中,基于基因数据的树状图至少在节点排序和节点的地层一致性方面比基于蛋白质序列的树状图要好得多。然而,蛋白质树状图在最小化幽灵范围比例方面是最好的。这些发现可能表明了真实的现象,但随着分子系统发育研究的成熟,分子树状图与地层学预期的匹配可能会得到改善。