Lartillot Nicolas, Phillips Matthew J, Ronquist Fredrik
Laboratoire de Biométrie et Biologie Evolutive, UMR CNRS 5558, Université Claude Bernard Lyon 1, F-69622 Villeurbanne Cedex, France
School of Earth, Environmental and Biological Sciences, Queensland University of Technology, Brisbane, Australia.
Philos Trans R Soc Lond B Biol Sci. 2016 Jul 19;371(1699). doi: 10.1098/rstb.2015.0132.
Over recent years, several alternative relaxed clock models have been proposed in the context of Bayesian dating. These models fall in two distinct categories: uncorrelated and autocorrelated across branches. The choice between these two classes of relaxed clocks is still an open question. More fundamentally, the true process of rate variation may have both long-term trends and short-term fluctuations, suggesting that more sophisticated clock models unfolding over multiple time scales should ultimately be developed. Here, a mixed relaxed clock model is introduced, which can be mechanistically interpreted as a rate variation process undergoing short-term fluctuations on the top of Brownian long-term trends. Statistically, this mixed clock represents an alternative solution to the problem of choosing between autocorrelated and uncorrelated relaxed clocks, by proposing instead to combine their respective merits. Fitting this model on a dataset of 105 placental mammals, using both node-dating and tip-dating approaches, suggests that the two pure clocks, Brownian and white noise, are rejected in favour of a mixed model with approximately equal contributions for its uncorrelated and autocorrelated components. The tip-dating analysis is particularly sensitive to the choice of the relaxed clock model. In this context, the classical pure Brownian relaxed clock appears to be overly rigid, leading to biases in divergence time estimation. By contrast, the use of a mixed clock leads to more recent and more reasonable estimates for the crown ages of placental orders and superorders. Altogether, the mixed clock introduced here represents a first step towards empirically more adequate models of the patterns of rate variation across phylogenetic trees.This article is part of the themed issue 'Dating species divergences using rocks and clocks'.
近年来,在贝叶斯定年的背景下提出了几种替代的宽松时钟模型。这些模型分为两个不同的类别:跨分支不相关和自相关。在这两类宽松时钟之间做出选择仍然是一个悬而未决的问题。更根本的是,速率变化的真实过程可能既有长期趋势又有短期波动,这表明最终应该开发出在多个时间尺度上展开的更复杂的时钟模型。在这里,引入了一种混合宽松时钟模型,从机制上可以解释为一个在布朗长期趋势之上经历短期波动的速率变化过程。从统计学上讲,这种混合时钟通过提出结合各自优点的方式,为在自相关和不相关宽松时钟之间进行选择的问题提供了一种替代解决方案。使用节点定年和末端定年方法,将该模型应用于105种胎盘哺乳动物的数据集,结果表明,布朗时钟和白噪声这两种纯时钟被拒绝,而倾向于一种混合模型,其不相关和自相关成分的贡献大致相等。末端定年分析对宽松时钟模型的选择特别敏感。在这种情况下,经典的纯布朗宽松时钟似乎过于僵化,导致分歧时间估计出现偏差。相比之下,使用混合时钟会得出胎盘目和总目的冠群年龄更近期且更合理的估计。总之,这里引入的混合时钟代表了朝着在系统发育树上更符合经验的速率变化模式模型迈出的第一步。本文是主题为“利用岩石和时钟确定物种分歧时间”的特刊的一部分。