Reconstructibility of unrooted level-k phylogenetic networks from distances

Journal Article (2020)
Author(s)

L.J.J. Iersel (TU Delft - Discrete Mathematics and Optimization)

Vincent Moulton (University of East Anglia)

Yukihiro Murakami (TU Delft - Discrete Mathematics and Optimization)

Research Group
Discrete Mathematics and Optimization
Copyright
© 2020 L.J.J. van Iersel, Vincent Moulton, Yukihiro Murakami
DOI related publication
https://doi.org/10.1016/j.aam.2020.102075
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 L.J.J. van Iersel, Vincent Moulton, Yukihiro Murakami
Research Group
Discrete Mathematics and Optimization
Volume number
120
Pages (from-to)
1-30
Reuse Rights

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Abstract

A phylogenetic network is a graph-theoretical tool that is used by biologists to represent the evolutionary history of a collection of species. One potential way of constructing such networks is via a distance-based approach, where one is asked to find a phylogenetic network that in some way represents a given distance matrix, which gives information on the evolutionary distances between present-day taxa. Here, we consider the following question. For which k are unrooted level-k networks uniquely determined by their distance matrices? We consider this question for shortest distances as well as for the case that the multisets of all distances is given. We prove that level-1 networks and level-2 networks are reconstructible from their shortest distances and multisets of distances, respectively. Furthermore we show that, in general, networks of level higher than 1 are not reconstructible from shortest distances and that networks of level higher than 2 are not reconstructible from their multisets of distances.