Literature DB >> 28316640

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

Daniel Bork1,2, Ricson Cheng3, Jincheng Wang1, Jean Sung1, Ran Libeskind-Hadas1.   

Abstract

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.

Entities:  

Keywords:  APX-hardness; Duplication-loss-coalescence model; NP-hardness; Phylogenetic reconciliation

Year:  2017        PMID: 28316640      PMCID: PMC5349084          DOI: 10.1186/s13015-017-0098-8

Source DB:  PubMed          Journal:  Algorithms Mol Biol        ISSN: 1748-7188            Impact factor:   1.405


  5 in total

1.  Unified modeling of gene duplication, loss, and coalescence using a locus tree.

Authors:  Matthew D Rasmussen; Manolis Kellis
Journal:  Genome Res       Date:  2012-01-23       Impact factor: 9.043

2.  The co phylogeny reconstruction problem is NP-complete.

Authors:  Y Ovadia; D Fielder; C Conow; R Libeskind-Hadas
Journal:  J Comput Biol       Date:  2010-08-17       Impact factor: 1.479

3.  Simultaneous identification of duplications and lateral gene transfers.

Authors:  Ali Tofigh; Michael Hallett; Jens Lagergren
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2011 Mar-Apr       Impact factor: 3.710

4.  Efficient algorithms for the reconciliation problem with gene duplication, horizontal transfer and loss.

Authors:  Mukul S Bansal; Eric J Alm; Manolis Kellis
Journal:  Bioinformatics       Date:  2012-06-15       Impact factor: 6.937

5.  Most parsimonious reconciliation in the presence of gene duplication, loss, and deep coalescence using labeled coalescent trees.

Authors:  Yi-Chieh Wu; Matthew D Rasmussen; Mukul S Bansal; Manolis Kellis
Journal:  Genome Res       Date:  2013-12-05       Impact factor: 9.043

  5 in total

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