Department of Biology, University of Oregon, Eugene, OR, USA.
Institute of Ecology and Evolution, University of Oregon, Eugene, OR, USA.
Nature. 2020 Apr;580(7804):502-505. doi: 10.1038/s41586-020-2176-1. Epub 2020 Apr 15.
Time-calibrated phylogenies of extant species (referred to here as 'extant timetrees') are widely used for estimating diversification dynamics. However, there has been considerable debate surrounding the reliability of these inferences and, to date, this critical question remains unresolved. Here we clarify the precise information that can be extracted from extant timetrees under the generalized birth-death model, which underlies most existing methods of estimation. We prove that, for any diversification scenario, there exists an infinite number of alternative diversification scenarios that are equally likely to have generated any given extant timetree. These 'congruent' scenarios cannot possibly be distinguished using extant timetrees alone, even in the presence of infinite data. Importantly, congruent diversification scenarios can exhibit markedly different and yet similarly plausible dynamics, which suggests that many previous studies may have over-interpreted phylogenetic evidence. We introduce identifiable and easily interpretable variables that contain all available information about past diversification dynamics, and demonstrate that these can be estimated from extant timetrees. We suggest that measuring and modelling these identifiable variables offers a more robust way to study historical diversification dynamics. Our findings also make it clear that palaeontological data will continue to be crucial for answering some macroevolutionary questions.
现存物种的时间校准系统发育树(这里称为“现存时间树”)被广泛用于估计多样化动态。然而,围绕这些推论的可靠性存在相当大的争议,迄今为止,这个关键问题仍未得到解决。在这里,我们澄清了在广义出生-死亡模型下(这是大多数现有估计方法的基础)可以从现存时间树上提取的确切信息。我们证明,对于任何多样化情况,都存在无数数量的替代多样化情况,这些情况同样可能生成任何给定的现存时间树。这些“一致”的情况不可能仅通过现存时间树来区分,即使存在无限的数据也是如此。重要的是,一致的多样化情况可能表现出明显不同但同样合理的动态,这表明许多先前的研究可能过度解释了系统发育证据。我们引入了可识别且易于解释的变量,这些变量包含了过去多样化动态的所有可用信息,并证明可以从现存时间树上估计这些变量。我们建议,测量和建模这些可识别的变量为研究历史多样化动态提供了一种更稳健的方法。我们的研究结果还清楚地表明,古生物学数据将继续对回答一些宏观进化问题至关重要。