van Iersel, Leo, Moulton, Vincent ORCID: https://orcid.org/0000-0001-9371-6435 and Murakami, Yuki (2020) Reconstructibility of unrooted level-k phylogenetic networks from distances. Advances in Applied Mathematics, 120. ISSN 0196-8858
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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.
Item Type: | Article |
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Faculty \ School: | Faculty of Science > School of Computing Sciences |
UEA Research Groups: | Faculty of Science > Research Groups > Computational Biology Faculty of Science > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre |
Depositing User: | LivePure Connector |
Date Deposited: | 24 Jun 2020 00:02 |
Last Modified: | 21 Apr 2023 00:40 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/75749 |
DOI: | 10.1016/j.aam.2020.102075 |
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