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首页> 外文期刊>Zoologica Scripta: An International Journal of Evolutionary Zoology >The scientific status of metazoan cladistics: why current research practice must change
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The scientific status of metazoan cladistics: why current research practice must change

机译:后生动物科学的科学地位:为什么必须改变当前的研究实践

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摘要

Metazoan phylogenetics is bustling with activity. The use of comprehensive morphological data sets in recent phylogenetic analyses of the Metazoa indicates that morphological evidence continues to play a key role in the reconstruction of metazoan deep history. In this paper I review the scientific status of morphological metazoan cladistics from the perspective of cladistic research cycles. Each research cycle consists of three main steps: (1) the compilation of a data matrix (2) the simultaneous evaluation of all possible cladograms in a character congruence test, and (3) the assessment of the relationship between evidence and hypothesis after finding the optimal tree. I identify a striking discrepancy between the sophistication of the analysis of given data sets (Step 2), and their compilation and the interpretation of the results (Steps 1 and 3). The latter two steps deserve far greater attention than is current practice. Uncritical and nonexplicit character selection, character coding, and character scoring seriously compromise Step 1. Careful comparative morphological study prior to data matrix construction is necessary to remedy this problem in future cladistic analyses. Step 2 is the locus of most recent advances in metazoan cladistics through the increasing availability of computing power, and the development of increasingly efficient phylogenetic software that allows analysis of large data sets. Failure to identify problems and errors generated in Step 1 of the research cycle is testament to the general failure of Step 3. Consequently, recent progress in metazoan cladistics is primarily analytical, while the only empirical anchor of the discipline receives surprisingly little attention. Not surprisingly, the first generation of modern metazoan phylogeneticists used computers principally as a relatively quick and easy means to generate abundant phylogenies from morphological data. The next phase should build on this foundation by critically testing these alternative hypotheses by a thorough qualitative reassessment and elaboration of morphological data matrices, and a more critical approach to data selection. A rigorous research program for metazoan cladistics can only be established when the cladistic research cycle is properly completed, and when subsequent research cycles are effectively linked to previous efforts.
机译:后生动物系统发育异常活跃。在后生动物的最新系统发育分析中使用综合形态学数据集表明,形态学证据继续在后生动物深层历史重建中发挥关键作用。在本文中,我从成群研究周期的角度回顾了形态上的后生阶成因学的科学现状。每个研究周期包括三个主要步骤:(1)数据矩阵的汇编(2)在字符一致性测试中同时评估所有可能的枝形图,以及(3)找到证据后,评估证据与假设之间的关系。最佳树。我确定了给定数据集的分析(步骤2)的复杂性与它们的汇编和结果的解释(步骤1和3)之间的显着差异。后两个步骤比当前的实践更受关注。非关键性和非明确性的字符选择,字符编码和字符评分严重损害了步骤1。在将来的分类分析中,纠正数据矩阵之前必须进行认真的比较形态学研究,以纠正此问题。第2步是通过提高计算能力的可用性以及开发允许对大数据集进行分析的效率更高的系统发育软件的开发,后生动物进化论最新进展的源头。无法识别研究周期的步骤1中产生的问题和错误证明了步骤3的一般失败。因此,后生动物进化论的最新进展主要是分析性的,而该学科的唯一经验锚却很少受到关注。毫不奇怪,现代后生动物的第一代系统学家主要将计算机用作从形态学数据中生成大量系统发育的相对快速简便的方法。下一阶段应通过对形态学数据矩阵进行彻底的定性重新评估和阐述,以及采用更为关键的数据选择方法,对这些可供选择的假设进行严格测试,以此为基础。只有当基础研究周期正确完成,并且随后的研究周期与先前的工作有效地联系在一起时,才能建立严格的后生动物研究计划。

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