Making a Network Orchard by Adding Leaves

Conference Paper (2023)
Author(s)

Leo van Iersel (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Mark Jones (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Esther Julien (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Yukihiro Murakami (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group
Discrete Mathematics and Optimization
DOI related publication
https://doi.org/10.4230/LIPIcs.WABI.2023.7 Final published version
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Publication Year
2023
Language
English
Research Group
Discrete Mathematics and Optimization
Article number
7
ISBN (electronic)
9783959772945
Event
23rd International Workshop on Algorithms in Bioinformatics, WABI 2023 (2023-09-04 - 2023-09-06), Houston, United States
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Abstract

Phylogenetic networks are used to represent the evolutionary history of species. Recently, the new class of orchard networks was introduced, which were later shown to be interpretable as trees with additional horizontal arcs. This makes the network class ideal for capturing evolutionary histories that involve horizontal gene transfers. Here, we study the minimum number of additional leaves needed to make a network orchard. We demonstrate that computing this proximity measure for a given network is NP-hard and describe a tight upper bound. We also give an equivalent measure based on vertex labellings to construct a mixed integer linear programming formulation. Our experimental results, which include both real-world and synthetic data, illustrate the efficiency of our implementation.