Abstract
Phylogenetic networks are rooted, labelled directed acyclic graphs which are commonly used to represent reticulate evolution. There is a close relationship between phylogenetic networks and multi-labelled trees (MUL-trees). Indeed, any phylogenetic network $N$ can be "unfolded" to obtain a MUL-tree $U(N)$ and, conversely, a MUL-tree $T$ can in certain circumstances be "folded" to obtain a phylogenetic network $F(T)$ that exhibits $T$. In this paper, we study properties of the operations $U$ and $F$ in more detail. In particular, we introduce the class of stable networks, phylogenetic networks $N$ for which $F(U(N))$ is isomorphic to $N$, characterise such networks, and show that they are related to the well-known class of tree-sibling networks.We also explore how the concept of displaying a tree in a network $N$ can be related to displaying the tree in the MUL-tree $U(N)$. To do this, we develop a phylogenetic analogue of graph fibrations. This allows us to view $U(N)$ as the analogue of the universal cover of a digraph, and to establish a close connection between displaying trees in $U(N)$ and reconcilingphylogenetic trees with networks.
Original language | English |
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Pages (from-to) | 1761–1780 |
Number of pages | 20 |
Journal | Journal of Mathematical Biology |
Volume | 73 |
Issue number | 6 |
Early online date | 23 Apr 2016 |
DOIs | |
Publication status | Published - Dec 2016 |
Keywords
- Phylogenetic networks
- Multi-labelled trees
- Graph fibrations
- Tree and network reconciliation
- Universal cover of a digraph
Profiles
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Katharina Huber
- School of Computing Sciences - Associate Professor
- Computational Biology - Member
Person: Research Group Member, Academic, Teaching & Research
-
Vincent Moulton
- School of Computing Sciences - Professor in Computational Biology
- Norwich Epidemiology Centre - Member
- Computational Biology - Member
Person: Research Group Member, Academic, Teaching & Research
-
Taoyang Wu
- School of Computing Sciences - Lecturer in Computing Sciences
- Centre for Ecology, Evolution and Conservation - Member
- Computational Biology - Member
- Data Science and AI - Member
Person: Research Group Member, Research Centre Member, Academic, Teaching & Research