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系统发育树上一个性状进化步骤数的零模型

NULL MODELS FOR THE NUMBER OF EVOLUTIONARY STEPS IN A CHARACTER ON A PHYLOGENETIC TREE.

作者信息

Maddison Wayne P, Slatkin Montgomery

机构信息

Department of Integrative Biology, University of California, Berkeley, CA, 94720, USA.

出版信息

Evolution. 1991 Aug;45(5):1184-1197. doi: 10.1111/j.1558-5646.1991.tb04385.x.

Abstract

Random trees and random characters can be used in null models for testing phylogenetic hypothesis. We consider three interpretations of random trees: first, that trees are selected from the set of all possible trees with equal probability; second, that trees are formed by random speciation or coalescence (equivalent); and third, that trees are formed by a series of random partitions of the taxa. We consider two interpretations of random characters: first, that the number of taxa with each state is held constant, but the states are randomly reshuffled among the taxa; and second, that the probability each taxon is assigned a particular state is constant from one taxon to the next. Under null models representing various combinations of randomizations of trees and characters, exact recursion equations are given to calculate the probability distribution of the number of character state changes required by a phylogenetic tree. Possible applications of these probability distributions are discussed. They can be used, for example, to test for a panmictic population structure within a species or to test phylogenetic inertia in a character's evolution. Whether and how a null model incorporates tree randomness makes little difference to the probability distribution in many but not all circumstances. The null model's sense of character randomness appears more critical. The difficult issue of choosing a null model is discussed.

摘要

随机树和随机性状可用于零模型中以检验系统发育假设。我们考虑随机树的三种解释:第一,树是从所有可能的树的集合中以相等概率选取的;第二,树是由随机物种形成或合并(等效)形成的;第三,树是由分类单元的一系列随机划分形成的。我们考虑随机性状的两种解释:第一,具有每种状态的分类单元数量保持不变,但状态在分类单元之间随机重新排列;第二,每个分类单元被赋予特定状态的概率从一个分类单元到下一个分类单元是恒定的。在表示树和性状随机化的各种组合的零模型下,给出了精确的递归方程来计算系统发育树所需的性状状态变化数量的概率分布。讨论了这些概率分布的可能应用。例如,它们可用于检验一个物种内的随机交配种群结构或检验性状进化中的系统发育惯性。在许多但并非所有情况下,零模型是否以及如何纳入树的随机性对概率分布影响不大。零模型的性状随机感似乎更为关键。讨论了选择零模型这一难题。

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