How tree-based is my network? : proximity measures for unrooted phylogenetic networks

Marieke Fischer, Andrew Francis

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Tree-based networks are a class of phylogenetic networks that attempt to formally capture what is meant by "tree-like" evolution. A given non-tree-based phylogenetic network, however, might appear to be very close to being tree-based, or very far. In this paper, we formalize the notion of proximity to tree-based for unrooted phylogenetic networks, with a range of proximity measures. These measures also provide characterizations of tree-based networks. One measure in particular, related to the nearest neighbour interchange operation, allows us to define the notion of "tree-based rank". This provides a subclassification within the tree-based networks themselves, identifying those networks that are "very" tree-based. Finally, we prove results relating tree-based networks in the settings of rooted and unrooted phylogenetic networks, showing effectively that an unrooted network is tree-based if and only if it can be made a rooted tree-based network by rooting it and orienting the edges appropriately. This leads to a clarification of the contrasting decision problems for tree-based networks, which are polynomial in the rooted case but NP complete in the unrooted.
Original languageEnglish
Pages (from-to)98-114
Number of pages17
JournalDiscrete Applied Mathematics
Volume283
DOIs
Publication statusPublished - 2020

Keywords

  • bioinformatics
  • phylogeny

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