DO CLADISTIC AND MORPHOMETRIC DATA CAPTURE COMMON PATTERNS OF MORPHOLOGICAL DISPARITY?
DO CLADISTIC AND MORPHOMETRIC DATA CAPTURE COMMON PATTERNS OF MORPHOLOGICAL DISPARITY?
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DOI：
10.1111/pala.12159
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发表时间：
2015-05-01
期刊：
影响因子：
2.6
通讯作者：
Donoghue, Philip C. J.
中科院分区：
文献类型：
--
作者：
Hetherington, Alexander J.;Sherratt, Emma;Donoghue, Philip C. J.
生物体形态明显的非随机多样性表现为具有共同身体结构的离散类群簇。因此，差异分析需要一个可扩展的比较框架。将几何形态计量学应用于具有截然不同的身体计划的群体的差异分析的困难通过使用分支特征而部分克服。基于字符的差异分析已变得越来越流行，但尚不清楚字符编码策略或主要同源语句的修订如何影响它们。事实上，分支和形态测量数据是否捕获相似的形态变异模式仍然是一个有争议的问题。为了解决这个问题，我们在针对蚓螈两栖动物的差异探索性研究中采用了分支和几何形态测量数据。我们的结果表明，当使用不同的分支特征编码策略或考虑修订的同源性概念时，对相对类群间距离没有影响。在所有情况下，我们发现成对欧几里德距离和普罗克拉斯特距离之间没有统计学上的显着差异，尽管距离矩阵之间的相关性强度有所不同。这表明分支和几何形态测量数据似乎以可比较的方式总结了形态变化。我们的结果支持使用分支数据来表征有机体差异。
The distinctly non-random diversity of organismal form manifests itself in discrete clusters of taxa that share a common body plan. As a result, analyses of disparity require a scalable comparative framework. The difficulties of applying geometric morphometrics to disparity analyses of groups with vastly divergent body plans are overcome partly by the use of cladistic characters. Character-based disparity analyses have become increasingly popular, but it is not clear how they are affected by character coding strategies or revisions of primary homology statements. Indeed, whether cladistic and morphometric data capture similar patterns of morphological variation remains a moot point. To address this issue, we employ both cladistic and geometric morphometric data in an exploratory study of disparity focussing on caecilian amphibians. Our results show no impact on relative intertaxon distances when different coding strategies for cladistic characters were used or when revised concepts of homology were considered. In all instances, we found no statistically significant difference between pairwise Euclidean and Procrustes distances, although the strength of the correlation among distance matrices varied. This suggests that cladistic and geometric morphometric data appear to summarize morphological variation in comparable ways. Our results support the use of cladistic data for characterizing organismal disparity.