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几何形态测量学、同源性与支序分类学:综述与建议

Geometric morphometrics, homology and cladistics: review and recommendations.

作者信息

Palci Alessandro, Lee Michael S Y

机构信息

Earth Sciences Section, South Australian Museum, North Terrace, Adelaide, SA, 5000, Australia.

College of Science and Engineering, Flinders University, Bedford Park, Adelaide, SA, 5042, Australia.

出版信息

Cladistics. 2019 Apr;35(2):230-242. doi: 10.1111/cla.12340. Epub 2018 Jun 22.

DOI:10.1111/cla.12340
PMID:34622971
Abstract

Geometric morphometric (GM) data has a long and contentious history in phylogenetic analyses. Often associated with phenetics, GM has been considered by many to be unable to provide meaningful information on phylogenetic relationships. However, the concepts of primary and secondary homology as developed for discrete characters can be readily extended to GM data: raw similarity in aligned landmark positions represents primary homology, and similarity ascribable to common ancestry represents secondary homology. We review fundamental concepts from the literature and provide a series of practical guidelines for the use of GM data in phylogenetics: (i) alignments that minimize linear distances between landmarks (or their approximation) perform better in highlighting apomorphic traits; (ii) Type I, Type II and linear semi-landmarks are preferable to Type III and surface semi-landmarks; (iii) excluding bilateral landmarks after, rather than before, alignment will prevent artefactual mediolateral displacement of midsagittal landmarks; (iv) phylogenetic analyses should employ linear rather than squared-change parsimony analysis of landmark displacements; (v) optimization of shape changes across a tree can be improved with methods that re-align the landmark configurations based on the results of the phylogenetic analysis; and (vi) GM data are no substitute for traditional morphological characters, but rather a complementary descriptor of shape diversity.

摘要

在系统发育分析中,几何形态测量(GM)数据有着悠久且存在争议的历史。GM常常与表型分类学相关联,许多人认为它无法提供有关系统发育关系的有意义信息。然而,为离散性状所发展出的一级和二级同源性概念可以很容易地扩展到GM数据:对齐地标位置的原始相似性代表一级同源性,而归因于共同祖先的相似性代表二级同源性。我们回顾了文献中的基本概念,并为在系统发育学中使用GM数据提供了一系列实用指南:(i)使地标(或其近似值)之间的线性距离最小化的对齐方式在突出衍征性状方面表现更佳;(ii)I型、II型和线性半地标比III型和表面半地标更可取;(iii)在对齐之后而非之前排除双侧地标,将防止矢状中线上地标出现人为的中外侧位移;(iv)系统发育分析应采用地标位移的线性简约分析而非平方变化简约分析;(v)通过基于系统发育分析结果重新对齐地标配置的方法,可以改进对整个树形结构形状变化的优化;(vi)GM数据不能替代传统形态性状,而是形状多样性的一种补充描述。

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