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功效还是便利性?基于模型的利用形态学数据进行系统发育估计的方法。

Efficacy or convenience? Model-based approaches to phylogeny estimation using morphological data.

作者信息

Spencer Marc R, Wilberg Eric W

机构信息

Department of Geoscience, University of Iowa, Iowa City, IA, 52242, USA.

出版信息

Cladistics. 2013 Dec;29(6):663-671. doi: 10.1111/cla.12018. Epub 2013 Feb 18.

Abstract

Model-based approaches (e.g. maximum likelihood, Bayesian inference) are widely used with molecular data, where they might be more appropriate than maximum parsimony for estimating phylogenies under various models of molecular evolution. Recently, there has been an increase in the application of model-based approaches with morphological (mainly fossil) data; however, there is some doubt as to the effectiveness of the model of morphological evolution. The input parameters (prior probabilities) for the model are unclear, particularly when concerned with unobserved character states. Despite this, some systematists are suggesting superiority of these model-based methods over maximum parsimony based on, for example, increased resolution or, in the current study, the preferred phylogenetic placement of an iconic taxon. Here, we revisit a recently published analysis implying such superiority and document the discrepancies between parsimony-based and model-based approaches to phylogeny estimation. We find that although some taxa are shifted back to their "traditional" phylogenetic placement, other clades are disturbed. The model-based phylogenies are better resolved; however, due to the lack of an appropriate model of morphological evolution, the increase in resolving power is probably not meaningful. Similarly, some of the preferred phylogenetic positions of taxa, particularly of labile taxa such as Archaeopteryx, are based solely on analyses employing maximum parsimony as the optimality criterion. Poor resolution and labile taxa indicate a need for further examination of the morphology and not a change in method.

摘要

基于模型的方法(如最大似然法、贝叶斯推断)在分子数据中被广泛使用,在各种分子进化模型下估计系统发育时,它们可能比最大简约法更合适。最近,基于模型的方法在形态学(主要是化石)数据中的应用有所增加;然而,形态进化模型的有效性存在一些疑问。该模型的输入参数(先验概率)尚不清楚,尤其是在涉及未观察到的性状状态时。尽管如此,一些系统学家认为这些基于模型的方法优于最大简约法,例如基于分辨率的提高,或者在当前研究中,基于一个标志性分类单元更优的系统发育位置。在这里,我们重新审视最近发表的一项暗示这种优越性的分析,并记录基于简约法和基于模型的系统发育估计方法之间的差异。我们发现,虽然一些分类单元被重新置于其“传统”的系统发育位置,但其他分支受到了干扰。基于模型的系统发育关系解析得更好;然而,由于缺乏合适的形态进化模型,分辨率的提高可能没有意义。同样,一些分类单元,特别是像始祖鸟这样不稳定的分类单元的一些优选系统发育位置,仅仅基于以最大简约法作为最优标准的分析。分辨率低和分类单元不稳定表明需要进一步研究形态学,而不是改变方法。

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