Level-2 networks from shortest and longest distances

Article


Huber, K.T., van Iersel, L., Janssen, R., Jones, M., Moulton, V. and Murakami, Y. 2022. Level-2 networks from shortest and longest distances. Discrete Applied Mathematics. 306, pp. 138-165. https://doi.org/10.1016/j.dam.2021.09.026
TypeArticle
TitleLevel-2 networks from shortest and longest distances
AuthorsHuber, K.T., van Iersel, L., Janssen, R., Jones, M., Moulton, V. and Murakami, Y.
Abstract

Recently it was shown that a certain class of phylogenetic networks, called level-2 networks, cannot be reconstructed from their associated distance matrices. In this paper, we show that they can be reconstructed from their induced shortest and longest distance matrices. That is, if two level-2 networks induce the same shortest and longest distance matrices, then they must be isomorphic. We further show that level-2 networks are reconstructible from their shortest distance matrices if and only if they do not contain a subgraph from a family of graphs. A generator of a network is the graph obtained by deleting all pendant subtrees and suppressing degree-2 vertices. We also show that networks with a leaf on every generator side are reconstructible from their induced shortest distance matrix.

KeywordsPhylogenetic networks; Reconstructibility; Distance matrix; Level-k network
Sustainable Development Goals9 Industry, innovation and infrastructure
Middlesex University ThemeCreativity, Culture & Enterprise
PublisherElsevier
JournalDiscrete Applied Mathematics
ISSN0166-218X
Electronic1872-6771
Publication dates
Online22 Oct 2021
Print15 Jan 2022
Publication process dates
Submitted21 Jan 2021
Accepted27 Sep 2021
Deposited12 Oct 2026
Output statusPublished
Publisher's version
License
File Access Level
Open
Copyright Statement

© 2021 The Author(s). Published by Elsevier B.V. This is an open access article under the CCBY license (http://creativecommons.org/licenses/by/4.0/)

Digital Object Identifier (DOI)https://doi.org/10.1016/j.dam.2021.09.026
LanguageEnglish
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