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Clustering systems of phylogenetic networks

Hellmuth, Marc, 1980- (author)
Stockholms universitet,Matematiska institutionen
Schaller, David (author)
Stadler, Peter F. (author)
 (creator_code:org_t)
2023
2023
English.
In: Theory in biosciences. - 1431-7613 .- 1611-7530. ; :142, s. 301-358
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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 C(v) of descendant taxa of a vertex v. The clustering system CN 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 CT. Although this is no longer true for networks in general, it is of interest to relate properties of N and CN. 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 X, then CN satisfies Y, and conversely if C is a clustering system satisfying Y, then there is network N of type X such that C⊆CN.This, in turn, allows us to investigate the mutual dependencies between the distinct types of networks in much detail.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Bioinformatics (hsv//eng)

Keyword

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

Publication and Content Type

ref (subject category)
art (subject category)

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Stockholm University

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