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无根最小深度融合准则的统计不一致性。

Statistical inconsistency of the unrooted minimize deep coalescence criterion.

机构信息

Mathematics Department, College of Science and Human Studies of Hotat Sudair, Majmaah University, Majmaah, Saudi Arabia.

Department of Mathematics and Statistics, University of New Mexico, Albuquerque, NM, United States of America.

出版信息

PLoS One. 2021 May 10;16(5):e0251107. doi: 10.1371/journal.pone.0251107. eCollection 2021.

Abstract

Species trees, which describe the evolutionary relationships between species, are often inferred from gene trees, which describe the ancestral relationships between sequences sampled at different loci from the species of interest. A common approach to inferring species trees from gene trees is motivated by supposing that gene tree variation is due to incomplete lineage sorting, also known as deep coalescence. One of the earliest methods motivated by deep coalescence is to find the species tree that minimizes the number of deep coalescent events needed to explain discrepancies between the species tree and input gene trees. This minimize deep coalescence (MDC) criterion can be applied in both rooted and unrooted settings. where either rooted or unrooted gene trees can be used to infer a rooted species tree. Previous work has shown that MDC is statistically inconsistent in the rooted setting, meaning that under a probabilistic model for deep coalescence, the multispecies coalescent, for some species trees, increasing the number of input gene trees does not make the method more likely to return a correct species tree. Here, we obtain analogous results in the unrooted setting, showing conditions leading to inconsistency of the MDC criterion using the multispecies coalescent model with unrooted gene trees for four taxa and five taxa.

摘要

种系树描述了物种之间的进化关系,通常是从基因树推断出来的,基因树描述了从感兴趣的物种的不同位置采样的序列之间的祖先关系。从基因树推断种系树的一种常见方法是假设基因树的变异是由于不完全谱系分选,也称为深合并。最早受深合并启发的方法之一是找到最小化解释种系树和输入基因树之间差异所需的深合并事件数量的种系树。这种最小化深合并(MDC)标准可应用于有根和无根设置。在有根或无根的基因树都可用于推断有根的种系树。先前的工作表明,在有根设置中,MDC 在统计上是不一致的,这意味着在深合并的概率模型下,对于某些种系树,增加输入基因树的数量并不会使该方法更有可能返回正确的种系树。在这里,我们在无根设置中获得了类似的结果,展示了在使用无根基因树的多物种合并模型的情况下导致 MDC 标准不一致的条件,包括四分类和五分类。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3508/8109837/53bc815f0c6b/pone.0251107.g001.jpg

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