Litcius/Paper detail

Clustering systems of phylogenetic networks

Marc Hellmuth, David Schaller, Peter F. Stadler

2023Theory in Biosciences17 citationsDOIOpen Access PDF

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.

Topics & Concepts

Phylogenetic treeCluster analysisPhylogenetic networkTree (set theory)Type (biology)Variety (cybernetics)Set (abstract data type)CombinatoricsComputer scienceTheoretical computer scienceMathematicsArtificial intelligenceBiologyGeneticsGeneEcologyProgramming languageGenomics and Phylogenetic StudiesEvolution and Paleontology StudiesGenetic diversity and population structure