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NANUQ:一种在溯祖模型下从基因树推断物种网络的方法。

NANUQ: a method for inferring species networks from gene trees under the coalescent model.

作者信息

Allman Elizabeth S, Baños Hector, Rhodes John A

机构信息

Department of of Mathematics and Statistics, University of Alaska Fairbanks, 1792 Ambler Lane, Fairbanks, AK 99775 USA.

出版信息

Algorithms Mol Biol. 2019 Dec 6;14:24. doi: 10.1186/s13015-019-0159-2. eCollection 2019.

Abstract

Species networks generalize the notion of species trees to allow for hybridization or other lateral gene transfer. Under the network multispecies coalescent model, individual gene trees arising from a network can have any topology, but arise with frequencies dependent on the network structure and numerical parameters. We propose a new algorithm for statistical inference of a level-1 species network under this model, from data consisting of gene tree topologies, and provide the theoretical justification for it. The algorithm is based on an analysis of quartets displayed on gene trees, combining several statistical hypothesis tests with combinatorial ideas such as a quartet-based intertaxon distance appropriate to networks, the NeighborNet algorithm for circular split systems, and the Circular Network algorithm for constructing a splits graph.

摘要

物种网络将物种树的概念进行了推广,以允许杂交或其他横向基因转移。在网络多物种溯祖模型下,源自一个网络的单个基因树可以具有任何拓扑结构,但出现的频率取决于网络结构和数值参数。我们针对此模型,从由基因树拓扑结构组成的数据出发,提出了一种用于统计推断一级物种网络的新算法,并给出了其理论依据。该算法基于对基因树上展示的四重奏的分析,将几个统计假设检验与组合思想相结合,如适用于网络的基于四重奏的类群间距离、用于循环分裂系统的邻接网算法以及用于构建分裂图的循环网络算法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aaab/6896299/3af55f312860/13015_2019_159_Fig1_HTML.jpg

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