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关于尤尔树上性状进化的马尔可夫模型的种间相关性分布

On the distribution of interspecies correlation for Markov models of character evolution on Yule trees.

作者信息

Mulder Willem H, Crawford Forrest W

机构信息

Department of Chemistry, The University of the West Indies, Mona Campus, Kingston 7, Jamaica.

Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA.

出版信息

J Theor Biol. 2015 Jan 7;364:275-83. doi: 10.1016/j.jtbi.2014.09.016. Epub 2014 Sep 18.

Abstract

Efforts to reconstruct phylogenetic trees and understand evolutionary processes depend fundamentally on stochastic models of speciation and mutation. The simplest continuous-time model for speciation in phylogenetic trees is the Yule process, in which new species are "born" from existing lineages at a constant rate. Recent work has illuminated some of the structural properties of Yule trees, but it remains mostly unknown how these properties affect sequence and trait patterns observed at the tips of the phylogenetic tree. Understanding the interplay between speciation and mutation under simple models of evolution is essential for deriving valid phylogenetic inference methods and gives insight into the optimal design of phylogenetic studies. In this work, we derive the probability distribution of interspecies covariance under Brownian motion and Ornstein-Uhlenbeck models of phenotypic change on a Yule tree. We compute the probability distribution of the number of mutations shared between two randomly chosen taxa in a Yule tree under discrete Markov mutation models. Our results suggest summary measures of phylogenetic information content, illuminate the correlation between site patterns in sequences or traits of related organisms, and provide heuristics for experimental design and reconstruction of phylogenetic trees.

摘要

重建系统发育树并理解进化过程的努力从根本上依赖于物种形成和突变的随机模型。系统发育树中最简单的物种形成连续时间模型是尤尔过程,在这个过程中,新物种以恒定速率从现有谱系中“诞生”。最近的研究揭示了尤尔树的一些结构特性,但这些特性如何影响在系统发育树末端观察到的序列和性状模式,仍然大多未知。理解简单进化模型下物种形成和突变之间的相互作用对于推导有效的系统发育推断方法至关重要,并能深入了解系统发育研究的最优设计。在这项工作中,我们推导了在尤尔树上布朗运动和奥恩斯坦 - 乌伦贝克表型变化模型下种间协方差的概率分布。我们计算了在离散马尔可夫突变模型下尤尔树中两个随机选择的分类单元之间共享突变数的概率分布。我们的结果提出了系统发育信息含量的汇总度量,阐明了相关生物体序列或性状中位点模式之间的相关性,并为系统发育树的实验设计和重建提供了启发式方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/921c/4256168/ddf278808e07/nihms634943f1.jpg

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