Clustering systems of phylogenetic networks.

Cluster Compatibility Evolution Hybrid Least common ancestor Level-k Network phylogenetics

Journal

Theory in biosciences = Theorie in den Biowissenschaften
ISSN: 1611-7530
Titre abrégé: Theory Biosci
Pays: Germany
ID NLM: 9708216

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 28 04 2022
accepted: 25 06 2023
pubmed: 13 8 2023
medline: 13 8 2023
entrez: 12 8 2023
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 37573261
doi: 10.1007/s12064-023-00398-w
pii: 10.1007/s12064-023-00398-w
pmc: PMC10564800
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

301-358

Subventions

Organisme : Deutsche Forschungsgemeinschaft
ID : MI439/14-2

Informations de copyright

© 2023. The Author(s).

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Auteurs

Marc Hellmuth (M)

Department of Mathematics, Faculty of Science, Stockholm University, Albanovägen 28, 10691, Stockholm, Sweden. marc.hellmuth@math.su.se.

David Schaller (D)

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

Peter F Stadler (PF)

Bioinformatics Group, Department of Computer Science and Interdisciplinary Center for Bioinformatics, Leipzig University, Härtelstraße 16-18, 04107, Leipzig, Germany.
Max Planck Institute for Mathematics in the Sciences, Inselstraße 22, 04103, Leipzig, Germany.
Department of Theoretical Chemistry, University of Vienna, Währingerstraße 17, 1090, Vienna, Austria.
Facultad de Ciencias, Universidad National de Colombia, Bogotá, Colombia.
Santa Fe Institute, 1399 Hyde Park Rd., Santa Fe, NM, 87501, USA.

Classifications MeSH