Suppr超能文献

系统发育网络的聚类系统

Clustering systems of phylogenetic networks.

作者信息

Hellmuth Marc, Schaller David, Stadler Peter F

机构信息

Department of Mathematics, Faculty of Science, Stockholm University, Albanovägen 28, 10691, Stockholm, Sweden.

Bioinformatics Group, Department of Computer Science and Interdisciplinary Center for Bioinformatics, Leipzig University, Härtelstraße 16-18, 04107, Leipzig, Germany.

出版信息

Theory Biosci. 2023 Nov;142(4):301-358. doi: 10.1007/s12064-023-00398-w. Epub 2023 Aug 12.

Abstract

Rooted acyclic graphs appear naturally when the phylogenetic relationship of a set X of taxa involves not only speciations but also recombination, horizontal transfer, or hybridization that cannot be captured by trees. A variety of classes of such networks have been discussed in the literature, including phylogenetic, level-1, tree-child, tree-based, galled tree, regular, or normal networks as models of different types of evolutionary processes. Clusters arise in models of phylogeny as the sets [Formula: see text] of descendant taxa of a vertex v. The clustering system [Formula: see text] comprising the clusters of a network N conveys key information on N itself. In the special case of rooted phylogenetic trees, T is uniquely determined by its clustering system [Formula: see text]. Although this is no longer true for networks in general, it is of interest to relate properties of N and [Formula: see text]. Here, we systematically investigate the relationships of several well-studied classes of networks and their clustering systems. The main results are correspondences of classes of networks and clustering systems of the following form: If N is a network of type [Formula: see text], then [Formula: see text] satisfies [Formula: see text], and conversely if [Formula: see text] is a clustering system satisfying [Formula: see text] then there is network N of type [Formula: see text] such that [Formula: see text].This, in turn, allows us to investigate the mutual dependencies between the distinct types of networks in much detail.

摘要

当一组分类单元X的系统发育关系不仅涉及物种形成,还涉及树无法捕捉的重组、水平转移或杂交时,有根无环图自然出现。文献中已经讨论了各种此类网络类别,包括系统发育网络、一级网络、树子网络、基于树的网络、有结树网络、正则网络或正规网络,作为不同类型进化过程的模型。在系统发育模型中,簇作为顶点v的后代分类单元的集合[公式:见正文]出现。包含网络N的簇的聚类系统[公式:见正文]传达了关于N本身的关键信息。在有根系统发育树的特殊情况下,T由其聚类系统[公式:见正文]唯一确定。虽然一般情况下网络不再如此,但关联N和[公式:见正文]的属性是有意义的。在这里,我们系统地研究了几类经过充分研究的网络及其聚类系统之间的关系。主要结果是以下形式的网络类别和聚类系统的对应关系:如果N是[公式:见正文]类型的网络,那么[公式:见正文]满足[公式:见正文],反之,如果[公式:见正文]是满足[公式:见正文]的聚类系统,那么存在[公式:见正文]类型的网络N,使得[公式:见正文]。这反过来又使我们能够非常详细地研究不同类型网络之间的相互依赖性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee00/10564800/afeded076a70/12064_2023_398_Fig1_HTML.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