Faurby Søren, Eiserhardt Wolf L, Baker William J, Svenning Jens-Christian
Section for Ecoinformatics & Biodiversity, Department of Bioscience, Aarhus University, Ny Munkegade 114, DK-8000 Aarhus C, Denmark; Department of Biogeography and Global Change, Museo Nacional de Ciencias Naturales, CSIC, Calle José Gutiérrez Abascal 2, Madrid 28006, Spain.
Section for Ecoinformatics & Biodiversity, Department of Bioscience, Aarhus University, Ny Munkegade 114, DK-8000 Aarhus C, Denmark; Comparative Plant and Fungal Biology Department, Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK.
Mol Phylogenet Evol. 2016 Jul;100:57-69. doi: 10.1016/j.ympev.2016.03.002. Epub 2016 Apr 5.
Several attempts have been made to generate complete species-level phylogenies for large clades, enabling comprehensive analyses of ecological or evolutionary hypotheses at the species level. No such phylogeny has, however, been generated for any major plant group yet, but here we generate such a phylogeny for the palm family (Arecaceae). We do this using a novel Bayesian approach, estimating the validity of intra-generic taxonomic groupings as topological constraints to assist in placing species without genetic or morphological data. From these we implement those that are supported by genetic or morphological data for a given genus or for related genera. The intergeneric relationships in our new phylogeny are surprisingly different from earlier phylogenies in the placement of genera within tribes, but largely identical to previous findings in the deeper branches in the phylogeny, pointing to the need for incorporating phylogenetic uncertainty in analyses based on this phylogeny. Initial analyses of the new phylogeny suggest non-constancy in diversification rates over time within genera, with an apparent increase in diversification rate over time, but no evidence for any geographic variation in the magnitude of this increase. We hope that our study will stimulate further evolutionary or ecological studies using palms as study organisms as well as discussions of the optimal way to place the many species without genetic or morphological data.
为大型进化枝构建完整的物种水平系统发育树已经进行了多次尝试,这使得在物种水平上对生态或进化假说进行全面分析成为可能。然而,尚未为任何主要植物类群构建出这样的系统发育树,但在此我们为棕榈科(槟榔科)构建了这样一个系统发育树。我们采用一种新颖的贝叶斯方法来做到这一点,将属内分类群分组的有效性估计为拓扑约束,以帮助在没有遗传或形态数据的情况下放置物种。从中我们实施那些由给定属或相关属的遗传或形态数据支持的分组。我们新的系统发育树中的属间关系在部落内属的位置上与早期的系统发育树惊人地不同,但在系统发育树的较深分支中与先前的发现基本相同,这表明在基于此系统发育树的分析中纳入系统发育不确定性的必要性。对新系统发育树的初步分析表明,属内多样化速率随时间并非恒定,多样化速率随时间明显增加,但没有证据表明这种增加的幅度存在任何地理差异。我们希望我们的研究将激发更多以棕榈为研究对象的进化或生态研究,以及关于在没有遗传或形态数据的情况下放置众多物种的最佳方法的讨论。