Clustering systems of phylogenetic networks.

IF 1.3 4区 生物学 Q3 BIOLOGY Theory in Biosciences Pub Date : 2023-11-01 Epub Date: 2023-08-12 DOI:10.1007/s12064-023-00398-w
Marc Hellmuth, David Schaller, Peter F Stadler
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引用次数: 1

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.

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系统发育网络的聚类系统。
当一组X分类群的系统发育关系不仅涉及物种,还涉及重组、水平转移或杂交时,有根无环图就会自然出现,而这些都是树木无法捕捉到的。文献中已经讨论了各种类型的此类网络,包括系统发育、一级、树-子、基于树的、galled树、规则或正常网络,作为不同类型进化过程的模型。聚类出现在系统发育模型中,作为顶点v的后代分类群的集合[公式:见正文]。包括网络N的聚类的聚类系统[公式:参见正文]传达了N本身的关键信息。在根系统发育树的特殊情况下,T是由其聚类系统唯一确定的[公式:见正文]。尽管这在一般网络中不再适用,但将N和[公式:见正文]的性质联系起来是有意义的。在这里,我们系统地研究了几类研究良好的网络及其集群系统的关系。主要结果是网络类和如下形式的聚类系统的对应关系:如果N是[公式:见文本]类型的网络,则[公式:看文本]满足[公式:见文本],反之,如果[公式:看到文本]是满足[公式:见文本]的聚类系统,则存在[公式:见图文本]类型网络N,使得[公式:,允许我们更详细地研究不同类型的网络之间的相互依赖关系。
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来源期刊
Theory in Biosciences
Theory in Biosciences 生物-生物学
CiteScore
2.70
自引率
9.10%
发文量
21
审稿时长
3 months
期刊介绍: Theory in Biosciences focuses on new concepts in theoretical biology. It also includes analytical and modelling approaches as well as philosophical and historical issues. Central topics are: Artificial Life; Bioinformatics with a focus on novel methods, phenomena, and interpretations; Bioinspired Modeling; Complexity, Robustness, and Resilience; Embodied Cognition; Evolutionary Biology; Evo-Devo; Game Theoretic Modeling; Genetics; History of Biology; Language Evolution; Mathematical Biology; Origin of Life; Philosophy of Biology; Population Biology; Systems Biology; Theoretical Ecology; Theoretical Molecular Biology; Theoretical Neuroscience & Cognition.
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