Cargando…

On the computational complexity of the maximum parsimony reconciliation problem in the duplication-loss-coalescence model

BACKGROUND: Phylogenetic tree reconciliation is a widely-used method for inferring the evolutionary histories of genes and species. In the duplication-loss-coalescence (DLC) model, we seek a reconciliation that explains the incongruence between a gene and species tree using gene duplication, loss, a...

Descripción completa

Detalles Bibliográficos
Autores principales: Bork, Daniel, Cheng, Ricson, Wang, Jincheng, Sung, Jean, Libeskind-Hadas, Ran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5349084/
https://www.ncbi.nlm.nih.gov/pubmed/28316640
http://dx.doi.org/10.1186/s13015-017-0098-8
_version_ 1782514401211842560
author Bork, Daniel
Cheng, Ricson
Wang, Jincheng
Sung, Jean
Libeskind-Hadas, Ran
author_facet Bork, Daniel
Cheng, Ricson
Wang, Jincheng
Sung, Jean
Libeskind-Hadas, Ran
author_sort Bork, Daniel
collection PubMed
description BACKGROUND: Phylogenetic tree reconciliation is a widely-used method for inferring the evolutionary histories of genes and species. In the duplication-loss-coalescence (DLC) model, we seek a reconciliation that explains the incongruence between a gene and species tree using gene duplication, loss, and deep coalescence events. In the maximum parsimony framework, costs are associated with these event types and a reconciliation is sought that minimizes the total cost of the events required to map the gene tree onto the species tree. RESULTS: We show that this problem is NP-hard even for the special case of minimizing the number of duplications. We then show that the problem is APX-hard when both duplications and losses are considered, implying that no polynomial-time approximation scheme can exist for the problem unless P = NP. CONCLUSIONS: These intractability results are likely to guide future research on algorithmic aspects of the DLC-reconciliation problem.
format Online
Article
Text
id pubmed-5349084
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-53490842017-03-17 On the computational complexity of the maximum parsimony reconciliation problem in the duplication-loss-coalescence model Bork, Daniel Cheng, Ricson Wang, Jincheng Sung, Jean Libeskind-Hadas, Ran Algorithms Mol Biol Research BACKGROUND: Phylogenetic tree reconciliation is a widely-used method for inferring the evolutionary histories of genes and species. In the duplication-loss-coalescence (DLC) model, we seek a reconciliation that explains the incongruence between a gene and species tree using gene duplication, loss, and deep coalescence events. In the maximum parsimony framework, costs are associated with these event types and a reconciliation is sought that minimizes the total cost of the events required to map the gene tree onto the species tree. RESULTS: We show that this problem is NP-hard even for the special case of minimizing the number of duplications. We then show that the problem is APX-hard when both duplications and losses are considered, implying that no polynomial-time approximation scheme can exist for the problem unless P = NP. CONCLUSIONS: These intractability results are likely to guide future research on algorithmic aspects of the DLC-reconciliation problem. BioMed Central 2017-03-14 /pmc/articles/PMC5349084/ /pubmed/28316640 http://dx.doi.org/10.1186/s13015-017-0098-8 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Bork, Daniel
Cheng, Ricson
Wang, Jincheng
Sung, Jean
Libeskind-Hadas, Ran
On the computational complexity of the maximum parsimony reconciliation problem in the duplication-loss-coalescence model
title On the computational complexity of the maximum parsimony reconciliation problem in the duplication-loss-coalescence model
title_full On the computational complexity of the maximum parsimony reconciliation problem in the duplication-loss-coalescence model
title_fullStr On the computational complexity of the maximum parsimony reconciliation problem in the duplication-loss-coalescence model
title_full_unstemmed On the computational complexity of the maximum parsimony reconciliation problem in the duplication-loss-coalescence model
title_short On the computational complexity of the maximum parsimony reconciliation problem in the duplication-loss-coalescence model
title_sort on the computational complexity of the maximum parsimony reconciliation problem in the duplication-loss-coalescence model
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5349084/
https://www.ncbi.nlm.nih.gov/pubmed/28316640
http://dx.doi.org/10.1186/s13015-017-0098-8
work_keys_str_mv AT borkdaniel onthecomputationalcomplexityofthemaximumparsimonyreconciliationproblemintheduplicationlosscoalescencemodel
AT chengricson onthecomputationalcomplexityofthemaximumparsimonyreconciliationproblemintheduplicationlosscoalescencemodel
AT wangjincheng onthecomputationalcomplexityofthemaximumparsimonyreconciliationproblemintheduplicationlosscoalescencemodel
AT sungjean onthecomputationalcomplexityofthemaximumparsimonyreconciliationproblemintheduplicationlosscoalescencemodel
AT libeskindhadasran onthecomputationalcomplexityofthemaximumparsimonyreconciliationproblemintheduplicationlosscoalescencemodel