Stadler Tanja, Smrckova Jana
Department of Biosystems Science and Engineering, ETH Zürich, 4058 Basel, Switzerland Swiss Institute of Bioinformatics (SIB), 1015 Lausanne, Switzerland
Department of Zoology, Faculty of Science, University of South Bohemia, 37005 Ceske Budejovice, Czech Republic.
Biol Lett. 2016 Oct;12(10). doi: 10.1098/rsbl.2016.0273.
Macroevolutionary studies recently shifted from only reconstructing the past state, i.e. the species phylogeny, to also infer the past speciation and extinction dynamics that gave rise to the phylogeny. Methods for estimating diversification dynamics are sensitive towards incomplete species sampling. We introduce a method to estimate time-dependent diversification rates from phylogenies where clades of a particular age are represented by only one sampled species. A popular example of this type of data is phylogenies on the genus- or family-level, i.e. phylogenies where one species per genus or family is included. We conduct a simulation study to validate our method in a maximum-likelihood framework. Further, this method has already been introduced into the Bayesian package MrBayes, which led to new insights into the evolution of Hymenoptera.
宏观进化研究最近从仅重建过去的状态,即物种系统发育,转变为推断产生该系统发育的过去物种形成和灭绝动态。估计多样化动态的方法对不完整的物种采样很敏感。我们介绍一种从系统发育中估计时间依赖性多样化率的方法,其中特定年龄的分支仅由一个采样物种代表。这类数据的一个常见例子是属级或科级的系统发育,即每个属或科只包含一个物种的系统发育。我们进行了一项模拟研究,以在最大似然框架中验证我们的方法。此外,该方法已被引入贝叶斯软件包MrBayes,这为膜翅目昆虫的进化带来了新的见解。