形态数据,系统基因组学和顽固性节点。

IF 3.9 2区 生物学 Q1 EVOLUTIONARY BIOLOGY
Cladistics Pub Date : 2025-04-22 DOI:10.1111/cla.12615
Rob DeSalle, Michael Tessler
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引用次数: 0

摘要

在本文中,我们结合形态学数据集研究了系统基因组分析中节点信息的相对贡献。我们使用分区布雷默支持(PBS)及其似然对应的分区似然支持(PLS)来检查分支支持度量的行为。这些度量度量数据分区对所讨论的节点的贡献,并且可以很容易地计算出可能性和简约性。具体来说,我们评估了在这个顽固性节点上形态学数据与分子数据的支持值的比率。我们发现该比率与拓扑中发生翻转(翻转权重)的弱分区的权重之间存在很强的线性相关性。这种线性关系使我们能够估计推翻系统基因组学假设所需的形态学数据的数量。对于我们在本研究中使用的数据集,翻转重量出奇地小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Morphological data, phylogenomics and recalcitrant nodes.

In this paper we examine the relative contribution of information to nodes in a phylogenomic analysis combined with morphological datasets. We examine the behaviour of branch support metrics using the partitioned Bremer support (PBS) and its likelihood counterpart partitioned likelihood support (PLS). These metrics measure the contribution of a data partition to a node in question, and can be easily computed for likelihood and parsimony. Specifically, we assess the ratios of support values for morphological data to molecular data at this recalcitrant node. We find that there is a strong linear correlation between this ratio with the weight of the weaker partition where a flip (the flip weight) in topology ensues. This linear relationship allows us to estimate the amount of morphological data it will take to flip a phylogenomic hypothesis. For the datasets we use in this study flip weights are surprisingly small.

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来源期刊
Cladistics
Cladistics 生物-进化生物学
CiteScore
8.60
自引率
5.60%
发文量
34
期刊介绍: Cladistics publishes high quality research papers on systematics, encouraging debate on all aspects of the field, from philosophy, theory and methodology to empirical studies and applications in biogeography, coevolution, conservation biology, ontogeny, genomics and paleontology. Cladistics is read by scientists working in the research fields of evolution, systematics and integrative biology and enjoys a consistently high position in the ISI® rankings for evolutionary biology.
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