Reconciling Multiple Genes Trees via Segmental Duplications and Losses

Authors Riccardo Dondi, Manuel Lafond, Celine Scornavacca



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Author Details

Riccardo Dondi
  • Dipartimento di Filosofia, Lettere, Comunicazione, Università degli Studi di Bergamo, Bergamo, Italy,
Manuel Lafond
  • Department of Computer Science, Université de Sherbrooke, Québec, Canada,
Celine Scornavacca
  • ISEM, CNRS, Université de Montpellier, IRD, EPHE, Montpellier, France,

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Riccardo Dondi, Manuel Lafond, and Celine Scornavacca. Reconciling Multiple Genes Trees via Segmental Duplications and Losses. In 18th International Workshop on Algorithms in Bioinformatics (WABI 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 113, pp. 5:1-5:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)
https://doi.org/10.4230/LIPIcs.WABI.2018.5

Abstract

Reconciling gene trees with a species tree is a fundamental problem to understand the evolution of gene families. Many existing approaches reconcile each gene tree independently. However, it is well-known that the evolution of gene families is interconnected. In this paper, we extend a previous approach to reconcile a set of gene trees with a species tree based on segmental macro-evolutionary events, where segmental duplication events and losses are associated with cost delta and lambda, respectively. We show that the problem is polynomial-time solvable when delta <= lambda (via LCA-mapping), while if delta > lambda the problem is NP-hard, even when lambda = 0 and a single gene tree is given, solving a long standing open problem on the complexity of the reconciliation problem. On the positive side, we give a fixed-parameter algorithm for the problem, where the parameters are delta/lambda and the number d of segmental duplications, of time complexity O(ceil[delta/lambda]^d * n * delta/lambda). Finally, we demonstrate the usefulness of this algorithm on two previously studied real datasets: we first show that our method can be used to confirm or refute hypothetical segmental duplications on a set of 16 eukaryotes, then show how we can detect whole genome duplications in yeast genomes.

Subject Classification

ACM Subject Classification
  • Applied computing → Computational biology
  • Theory of computation → Fixed parameter tractability
  • Theory of computation → Problems, reductions and completeness
Keywords
  • Gene trees/species tree reconciliation
  • phylogenetics
  • computational complexity
  • fixed-parameter algorithms

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References

  1. Mukul S Bansal and Oliver Eulenstein. The multiple gene duplication problem revisited. Bioinformatics, 24(13):i132-i138, 2008. Google Scholar
  2. Geraldine Butler, Matthew D Rasmussen, Michael F Lin, Manuel AS Santos, Sharadha Sakthikumar, Carol A Munro, Esther Rheinbay, Manfred Grabherr, Anja Forche, Jennifer L Reedy, et al. Evolution of pathogenicity and sexual reproduction in eight candida genomes. Nature, 459(7247):657, 2009. Google Scholar
  3. Cedric Chauve and Nadia El-Mabrouk. New perspectives on gene family evolution: losses in reconciliation and a link with supertrees. In Annual International Conference on Research in Computational Molecular Biology, pages 46-58. Springer, 2009. Google Scholar
  4. Cedric Chauve, Akbar Rafiey, Adrian A. Davin, Celine Scornavacca, Philippe Veber, Bastien Boussau, Gergely Szollosi, Vincent Daubin, and Eric Tannier. Maxtic: Fast ranking of a phylogenetic tree by maximum time consistency with lateral gene transfers. bioRxiv, 2017. URL: https://www.biorxiv.org/content/early/2017/11/07/127548.
  5. Adrián A Davín, Eric Tannier, Tom A Williams, Bastien Boussau, Vincent Daubin, and Gergely J Szöllősi. Gene transfers can date the tree of life. Nature ecology &evolution, page 1, 2018. Google Scholar
  6. Wandrille Duchemin. Phylogeny of dependencies and dependencies of phylogenies in genes and genomes. PhD thesis, Université de Lyon, 2017. Google Scholar
  7. Wandrille Duchemin, Yoann Anselmetti, Murray Patterson, Yann Ponty, Sèverine Bérard, Cedric Chauve, Celine Scornavacca, Vincent Daubin, and Eric Tannier. Decostar: Reconstructing the ancestral organization of genes or genomes using reconciled phylogenies. Genome biology and evolution, 9(5):1312-1319, 2017. Google Scholar
  8. Michael Fellows, Michael Hallett, and Ulrike Stege. On the multiple gene duplication problem. In International Symposium on Algorithms and Computation, pages 348-357. Springer, 1998. Google Scholar
  9. Morris Goodman, John Czelusniak, G William Moore, Alejo E Romero-Herrera, and Genji Matsuda. Fitting the gene lineage into its species lineage, a parsimony strategy illustrated by cladograms constructed from globin sequences. Systematic Biology, 28(2):132-163, 1979. Google Scholar
  10. Roderic Guigo, Ilya Muchnik, and Temple F Smith. Reconstruction of ancient molecular phylogeny. Molecular phylogenetics and evolution, 6(2):189-213, 1996. Google Scholar
  11. Edwin Jacox, Cedric Chauve, Gergely J. Szöllősi, Yann Ponty, and Celine Scornavacca. eccetera: comprehensive gene tree-species tree reconciliation using parsimony. Bioinformatics, 32(13):2056-2058, 2016. Google Scholar
  12. Edwin Jacox, Mathias Weller, Eric Tannier, and Céline Scornavacca. Resolution and reconciliation of non-binary gene trees with transfers, duplications and losses. Bioinformatics, 33(7):980-987, 2017. Google Scholar
  13. Manolis Kellis, Bruce W Birren, and Eric S Lander. Proof and evolutionary analysis of ancient genome duplication in the yeast saccharomyces cerevisiae. Nature, 428(6983):617, 2004. Google Scholar
  14. Manuel Lafond, Mona Meghdari Miardan, and David Sankoff. Accurate prediction of orthologs in the presence of divergence after duplication. Bioinformatics, In press, 2018. Google Scholar
  15. Cheng-Wei Luo, Ming-Chiang Chen, Yi-Ching Chen, Roger WL Yang, Hsiao-Fei Liu, and Kun-Mao Chao. Linear-time algorithms for the multiple gene duplication problems. IEEE/ACM Trans. on Computational Biology and Bioinformatics, 8(1):260-265, 2011. Google Scholar
  16. Bin Ma, Ming Li, and Louxin Zhang. From gene trees to species trees. SIAM Journal on Computing, 30(3):729-752, 2000. Google Scholar
  17. Wayne P Maddison. Gene trees in species trees. Systematic biology, 46(3):523-536, 1997. Google Scholar
  18. Roderic DM Page. Maps between trees and cladistic analysis of historical associations among genes, organisms, and areas. Systematic Biology, 43(1):58-77, 1994. Google Scholar
  19. Roderic DM Page and JA Cotton. Vertebrate phylogenomics: reconciled trees and gene duplications. In Pacific Symposium on Biocomputing, volume 7, pages 536-547, 2002. Google Scholar
  20. Jaroslaw Paszek and Pawel Gorecki. Efficient algorithms for genomic duplication models. IEEE/ACM transactions on computational biology and bioinformatics, 2017. Google Scholar
  21. Ikram Ullah, Joel Sjöstrand, Peter Andersson, Bengt Sennblad, and Jens Lagergren. Integrating sequence evolution into probabilistic orthology analysis. Systematic Biology, 64(6):969-982, 2015. Google Scholar
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