Performance of a divergence time estimation method under a probabilistic model of rate evolution
Performance of a divergence time estimation method under a probabilistic model of rate evolution
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DOI：
10.1093/oxfordjournals.molbev.a003811
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发表时间：
2001-03-01
影响因子：
10.7
通讯作者：
Bruno, WJ
中科院分区：
文献类型：
--
作者：
Kishino, H;Thorne, JL;Bruno, WJ
分子进化的速度随着时间的推移而变化，因此在不同的谱系之间也不同。相比之下，广泛使用的从分子序列数据估计发散时间的方法假设速率恒定。因此，考虑速率变化的散度时间估计方法是有吸引力的。描述了对先前提出的发散时间估计贝叶斯技术的改进。新的参数化更有效地捕获了树上速率进化的系统发育结构。化石信息和其他证据现在可以以限制分化时间的形式包含在贝叶斯分析中。仿真结果表明，加入约束条件后散度时间估计的精度得到了显著提高。
Rates of molecular evolution vary over time and, hence, among lineages. In contrast, widely used methods for estimating divergence times from molecular sequence data assume constancy of rates. Therefore, methods for estimation of divergence times that incorporate rate variation are attractive. Improvements on a previously proposed Bayesian technique for divergence time estimation are described. New parameterization more effectively captures the phylogenetic structure of rate evolution on a tree. Fossil information and other evidence can now be included in Bayesian analyses in the form of constraints on divergence times. Simulation results demonstrate that the accuracy of divergence time estimation is substantially enhanced when constraints are included.