The Most Parsimonious Reconciliation Problem in the Presence of Incomplete Lineage Sorting and Hybridization Is NP-Hard

Authors Matthew LeMay, Yi-Chieh Wu , Ran Libeskind-Hadas



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Author Details

Matthew LeMay
  • Department of Mathematics, Harvey Mudd College, Claremont, CA, USA
Yi-Chieh Wu
  • Department of Computer Science, Harvey Mudd College, Claremont, CA, USA
Ran Libeskind-Hadas
  • Department of Computer Science, Harvey Mudd College, Claremont, CA, USA

Acknowledgements

The authors thank Adam Walker and the anonymous reviewers for valuable comments that helped improve the paper.

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Matthew LeMay, Yi-Chieh Wu, and Ran Libeskind-Hadas. The Most Parsimonious Reconciliation Problem in the Presence of Incomplete Lineage Sorting and Hybridization Is NP-Hard. In 21st International Workshop on Algorithms in Bioinformatics (WABI 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 201, pp. 1:1-1:10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)
https://doi.org/10.4230/LIPIcs.WABI.2021.1

Abstract

The maximum parsimony phylogenetic reconciliation problem seeks to explain incongruity between a gene phylogeny and a species phylogeny with respect to a set of evolutionary events. While the reconciliation problem is well-studied for species and gene trees subject to events such as duplication, transfer, loss, and deep coalescence, recent work has examined species phylogenies that incorporate hybridization and are thus represented by networks rather than trees. In this paper, we show that the problem of computing a maximum parsimony reconciliation for a gene tree and species network is NP-hard even when only considering deep coalescence. This result suggests that future work on maximum parsimony reconciliation for species networks should explore approximation algorithms and heuristics.

Subject Classification

ACM Subject Classification
  • Applied computing → Computational biology
Keywords
  • phylogenetics
  • reconciliation
  • deep coalescence
  • hybridization
  • NP-hardness

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