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
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
301-358Subventions
Organisme : Deutsche Forschungsgemeinschaft
ID : MI439/14-2
Informations de copyright
© 2023. The Author(s).
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