Lateral transfer in Stochastic Dollo models

Luke J Kelly, G. Nicholls
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引用次数: 10

Abstract

Lateral transfer, a process whereby species exchange evolutionary traits through non-ancestral relationships, is a frequent source of model misspecification in phylogenetic inference. Lateral transfer obscures the phylogenetic signal in the data as the histories of affected traits are mosaics of the overall phylogeny. We control for the effect of lateral transfer in a Stochastic Dollo model and a Bayesian setting. Our likelihood is highly intractable as the parameters are the solution of a sequence of large systems of differential equations representing the expected evolution of traits along a tree. We illustrate our method on a data set of lexical traits in Eastern Polynesian languages and obtain an improved fit over the corresponding model without lateral transfer.
随机Dollo模型中的横向转移
横向转移是物种通过非祖先关系交换进化特征的过程,是系统发育推断中模型错误描述的常见来源。横向转移模糊了数据中的系统发育信号,因为受影响性状的历史是整个系统发育的马赛克。我们在随机Dollo模型和贝叶斯设置中控制横向转移的影响。我们的似然是高度棘手的,因为参数是一系列大的微分方程组的解,这些微分方程组代表了沿树的特征的预期进化。我们在东波利尼西亚语言的词汇特征数据集上说明了我们的方法,并在没有横向迁移的情况下获得了相应模型的改进拟合。
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