Schulte James A
Department of Biology, 8 Clarkson Avenue, Clarkson University, Potsdam, NY 13699, USA.
Int J Evol Biol. 2013;2013:628467. doi: 10.1155/2013/628467. Epub 2013 Oct 9.
Methods for estimating divergence times from molecular data have improved dramatically over the past decade, yet there are few studies examining alternative taxon sampling effects on node age estimates. Here, I investigate the effect of undersampling species diversity on node ages of the South American lizard clade Liolaemini using several alternative subsampling strategies for both time calibrations and taxa numbers. Penalized likelihood (PL) and Bayesian molecular dating analyses were conducted on a densely sampled (202 taxa) mtDNA-based phylogenetic hypothesis of Iguanidae, including 92 Liolaemini species. Using all calibrations and penalized likelihood, clades with very low taxon sampling had node age estimates younger than clades with more complete taxon sampling. The effect of Bayesian and PL methods differed when either one or two calibrations only were used with dense taxon sampling. Bayesian node ages were always older when fewer calibrations were used, whereas PL node ages were always younger. This work reinforces two important points: (1) whenever possible, authors should strongly consider adding as many taxa as possible, including numerous outgroups, prior to node age estimation to avoid considerable node age underestimation and (2) using more, critically assessed, and accurate fossil calibrations should yield improved divergence time estimates.
在过去十年中,从分子数据估计分歧时间的方法有了显著改进,但很少有研究考察不同的分类群抽样对节点年龄估计的影响。在此,我使用几种替代的抽样策略,针对时间校准和分类单元数量,研究了南美蜥蜴分支利奥蜥属物种多样性抽样不足对节点年龄的影响。对基于线粒体DNA的鬣蜥科密集抽样(202个分类单元)系统发育假说进行了惩罚似然(PL)和贝叶斯分子年代分析,其中包括92种利奥蜥属物种。使用所有校准和惩罚似然法时,分类群抽样非常少的分支的节点年龄估计比分类群抽样更完整的分支要年轻。当在密集分类群抽样中仅使用一个或两个校准进行贝叶斯和PL方法分析时,二者的结果有所不同。使用较少校准时,贝叶斯节点年龄总是更大,而PL节点年龄总是更小。这项工作强化了两个要点:(1)只要有可能,作者在估计节点年龄之前应强烈考虑尽可能多地添加分类单元,包括众多外类群,以避免节点年龄被严重低估;(2)使用更多经过严格评估且准确的化石校准应该能改进分歧时间估计。