Bayesian inference of the metazoan phylogeny: A combined molecular and morphological approach
Bayesian inference of the metazoan phylogeny: A combined molecular and morphological approach
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DOI：
10.1016/j.cub.2004.09.027
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发表时间：
2004-09-21
期刊：
影响因子：
9.2
通讯作者：
Willerslev, E
中科院分区：
文献类型：
--
作者：
Glenner, H;Hansen, AJ;Willerslev, E
后生动物的生殖是进化生物学尚未解决的主要问题之一。分子和形态学数据，以及不同的分析方法，产生了高度矛盾的结果，由于同质性导致超过5.7亿年的进化[1-4]。到目前为止，简约是唯一可行的组合方法，但对长枝吸引力高度敏感[5-7]。最近开发的离散形态特征的随机模型和贝叶斯推理的计算效率高的方法使分子和形态数据分析与严格的统计方法相结合，不易出现这种不一致[8-10]。我们提出了第一个统计学上建立的分析后生动物的数据集的基础上相结合的形态和分子数据，并与传统的简约分析的结果进行比较。有趣的是，贝叶斯分析表明形态学和分子数据之间高度一致，两个数据集都有助于组合分析的结果。此外，他们解决了在以前的研究中获得的一些不规则性，并显示出高可信度的价值有争议的群体，如蜕皮动物和lophotrochozoans。吝啬，相反，显示出相互矛盾的结果，与形态学是一致的贝叶斯结果和分子数据集产生的特点，主要反映在综合分析。
Metazoan phylogeny remains one of evolutionary biology's major unsolved problems. Molecular and morphological data, as well as different analytical approaches, have produced highly conflicting results due to homoplasy resulting from more than 570 million years of evolution [1-4]. To date, parsimony has been the only feasible combined approach but is highly sensitive to long-branch attraction [5-7]. Recent development of stochastic models for discrete morphological characters and computationally efficient methods for Bayesian inference has enabled combined molecular and morphological data analysis with rigorous statistical approaches less prone to such inconsistencies [8-10]. We present the first statistically founded analysis of a metazoan data set based on a combination of morphological and molecular data and compare the results with a traditional parsimony analysis. Interestingly, the Bayesian analyses demonstrate a high degree of congruence between morphological and molecular data, and both data sets contribute to the result of the combined analysis. Additionally, they resolve several irregularities obtained in previous studies and show high credibility values for controversial groups such as the ecdysozoans and lophotrochozoans. Parsimony, on the contrary, shows conflicting results, with morphology being congruent to the Bayesian results and the molecular data set producing peculiarities that are largely reflected in the combined analysis.