Suppr超能文献

基于基因树四重奏的一级物种网络的可识别性

IDENTIFIABILITY OF LEVEL-1 SPECIES NETWORKS FROM GENE TREE QUARTETS.

作者信息

Allman Elizabeth S, Baños Hector, Garrote-Lopez Marina, Rhodes John A

机构信息

University of Alaska Fairbanks.

California State University San Bernadino.

出版信息

ArXiv. 2024 Jan 11:arXiv:2401.06290v1.

Abstract

When hybridization or other forms of lateral gene transfer have occurred, evolutionary relationships of species are better represented by phylogenetic networks than by trees. While inference of such networks remains challenging, several recently proposed methods are based on quartet concordance factors - the probabilities that a tree relating a gene sampled from the species displays the possible 4-taxon relationships. Building on earlier results, we investigate what level-1 network features are identifiable from concordance factors under the network multispecies coalescent model. We obtain results on both topological features of the network, and numerical parameters, uncovering a number of failures of identifiability related to 3-cycles in the network.

摘要

当发生杂交或其他形式的横向基因转移时,系统发育网络比树状图能更好地呈现物种的进化关系。虽然推断此类网络仍然具有挑战性,但最近提出的几种方法是基于四重奏一致性因子——即与从这些物种中采样的基因相关的一棵树显示可能的四分类群关系的概率。基于早期的结果,我们研究了在网络多物种合并模型下,从一致性因子中可以识别出哪些一级网络特征。我们在网络的拓扑特征和数值参数方面都取得了结果,发现了一些与网络中的3-循环相关的可识别性失败情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cc6/10802673/705b84b30a38/nihpp-2401.06290v1-f0015.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验