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A genealogical approach to quantifying lineage divergence

机译:谱系差异量化的家谱方法

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We introduce a statistic, the genealogical sorting index (gsi), for quantifying the degree of exclusive ancestry of labeled groups on a rooted genealogy and demonstrate its application. The statistic is simple, intuitive, and easily calculated. It has a normalized range to facilitate comparisons among different groups, trees, or studies and it provides information on individual groups rather than a composite measure for all groups. It naturally handles polytomies and accommodates measures of uncertainty in phylogenetic relationships. We use coalescent simulations to explore the behavior of the gsi across a range of divergence times, with the mean value increasing to 1, the maximum value when exclusivity within a group reached monophyly. Simulations also demonstrate that the power to reject the null hypothesis of mixed genealogical ancestry increased markedly as sample size increased, and that the gsi provides a statistically more powerful measure of divergence than F-ST. Applications to data from published studies demonstrated that the gsi provides a useful way to detect significant exclusivity even when groups are not monophyletic. Although we describe this statistic in the context of divergence, it is more broadly applicable to quantify and assess the significance of clustering of observations in labeled groups on any tree.
机译:我们介绍了一种统计数据,即家谱排序指数(gsi),用于量化扎根家谱上标记组的排他祖先的程度,并演示其应用。统计信息简单,直观且易于计算。它具有归一化的范围,可以促进不同组,树木或研究之间的比较,并且它提供有关单个组的信息,而不是针对所有组的综合度量。它自然可以处理多态性,并适应系统发育关系中不确定性的度量。我们使用合并模拟来探索gsi在不同发散时间范围内的行为,其中平均值增加到1,这是一组中的唯一性达到唯一性时的最大值。模拟还表明,随着样本量的增加,拒绝混合家谱祖传零假设的能力显着提高,并且gsi提供了比F-ST统计上更有效的差异度量。对已发表研究的数据进行的应用表明,gsi提供了一种检测重要排他性的有用方法,即使这些组不是单系统的。尽管我们在差异的背景下描述了此统计数据,但它更广泛地适用于量化和评估在任何树上的标记组中的观测结果聚类的重要性。

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