A decomposition of a phylogenetically-informed distance between species assemblages into basal and terminal components

IF 1.4 4区 生物学 Q4 ECOLOGY
Theoretical Population Biology Pub Date : 2025-12-01 Epub Date: 2025-11-06 DOI:10.1016/j.tpb.2025.10.002
Julia Fukuyama
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引用次数: 0

Abstract

Ecologists seeking to quantify differences between species assemblages often rely on dissimilarity measures that incorporate both species composition and the phylogenetic relatedness among species. Although many variants of such distances are available, their statistical properties remain poorly understood. For instance, an analyst comparing species abundances in two types of sites might apply PERMANOVA with UniFrac as the dissimilarity measure and obtain one result, but using PERMANOVA with Rao’s dissimilarity coefficient could yield a different conclusion. In other contexts, the pattern of significance might be reversed. While such discrepancies are well documented empirically, the mathematical underpinnings of this phenomenon are not well understood. We analyze a phylogenetically-informed distance that has been described many times in the literature under different names. Specifically, it corresponds to Rao’s DISC (Radhakrishna, 1982) with a certain choice of distance between species, has also been referred to as H (Jérôme et al., 2007), δCO (Sandrine et al., 2004), and is related to PST (Olivier and Bruno, 2007). We show that we can decompose this distance into pieces that describe basal and terminal phylogenetic structure and show that it places an overwhelming amount of weight on the basal phylogenetic structure. We show that a related class of distances used in other contexts can be interpreted as modulating the influence of the basal structure, demonstrate how this modification can increase power for detecting phylogenetically-structured effects at different scales, and present examples using both simulated and real datasets.
将物种组合之间的系统发育信息距离分解为基部和末端组分。
生态学家试图量化物种组合之间的差异,通常依赖于包括物种组成和物种之间系统发育亲缘关系的不相似性测量。虽然这种距离有许多变体,但它们的统计性质仍然知之甚少。例如,分析人员比较两种类型站点的物种丰度时,可能使用PERMANOVA和UniFrac作为不相似度度量并得到一个结果,但使用PERMANOVA和Rao的不相似系数可能会得到不同的结论。在其他情况下,重要性的模式可能相反。虽然这种差异在经验上有很好的记录,但这种现象的数学基础还没有得到很好的理解。我们分析了一个在系统发育上被告知的距离,这个距离在文献中以不同的名字被描述了很多次。具体来说,它对应于Rao的DISC (Radhakrishna, 1982),具有一定的种间距离选择,也被称为H (Jérôme et al., 2007), δCO (Sandrine et al., 2004),与PST (Olivier and Bruno, 2007)有关。我们表明,我们可以将这个距离分解成描述基础和终端系统发育结构的片段,并表明它对基础系统发育结构具有压倒性的重要性。我们展示了在其他情况下使用的相关距离类别可以被解释为调节基础结构的影响,展示了这种修改如何增加在不同尺度上检测系统发育结构效应的能力,并使用模拟和真实数据集提供了示例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Theoretical Population Biology
Theoretical Population Biology 生物-进化生物学
CiteScore
2.50
自引率
14.30%
发文量
43
审稿时长
6-12 weeks
期刊介绍: An interdisciplinary journal, Theoretical Population Biology presents articles on theoretical aspects of the biology of populations, particularly in the areas of demography, ecology, epidemiology, evolution, and genetics. Emphasis is on the development of mathematical theory and models that enhance the understanding of biological phenomena. Articles highlight the motivation and significance of the work for advancing progress in biology, relying on a substantial mathematical effort to obtain biological insight. The journal also presents empirical results and computational and statistical methods directly impinging on theoretical problems in population biology.
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