采样不足的分类群会低估分子分化的日期:一个来自南美蜥蜴进化枝的例子。

International journal of evolutionary biology Pub Date : 2013-01-01 Epub Date: 2013-10-09 DOI:10.1155/2013/628467
James A Schulte
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引用次数: 41

摘要

在过去的十年中,从分子数据估计分化时间的方法有了显著的改进,但很少有研究检查替代分类群抽样对节点年龄估计的影响。本文研究了欠采样物种多样性对南美蜥蜴进化分支Liolaemini节点年龄的影响,采用了几种不同的亚采样策略来进行时间校准和分类群数量。采用惩罚似然(PL)和贝叶斯(Bayesian)分子测年方法对202个类群的鬣蜥科(包括92个Liolaemini种)的mtdna系统发育假说进行了分析。使用所有校准和惩罚似然,分类群采样非常少的进化枝比分类群采样更完整的进化枝有更年轻的节点年龄估计。贝叶斯方法和PL方法在一次或两次校准时的效果不同。当使用较少的校准时,贝叶斯节点年龄总是更老,而PL节点年龄总是更年轻。这项工作强调了两个重要的观点:(1)在节点年龄估计之前,作者应该尽可能多地考虑添加尽可能多的分类群,包括大量的外群,以避免大量的节点年龄低估;(2)使用更多的,经过严格评估的,准确的化石校准应该产生更好的分化时间估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Undersampling taxa will underestimate molecular divergence dates: an example from the South american lizard clade liolaemini.

Undersampling taxa will underestimate molecular divergence dates: an example from the South american lizard clade liolaemini.
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.
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