Skip to main content

When and How the Perfect Phylogeny Model Explains Evolution

  • Chapter
  • First Online:
Discrete and Topological Models in Molecular Biology

Abstract

Character-based parsimony models have been among the most studied notions in computational evolution, but research in the field stagnated until some important, recent applications, such as the analysis of data from protein domains, protein networks, and genetic markers, as well as haplotyping, brought new life into this sector. The focus of this survey is to present the perfect phylogeny model and some of its generalizations. In particular, we develop the use of persistency in the perfect phylogeny model as a new promising computational approach to analyzing and reconstructing evolution. We show that, in this setting, some graph-theoretical notions can provide a characterization of the relationships between characters (or attributes), playing a crucial role in developing algorithmic solutions to the problem of reconstructing a maximum parsimony tree.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. R. Agarwala, D. Fernandez-Baca, A polynomial-time algorithm for the perfect phylogeny problem when the number of character states is fixed. SIAM J. Comput. 23(6), 1216–1224 (1994)

    Article  MATH  MathSciNet  Google Scholar 

  2. P. Bonizzoni, A linear time algorithm for the Perfect Phylogeny Haplotype problem. Algorithmica 48(3), 267–285 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  3. P. Bonizzoni, G. Della Vedova, R. Dondi, J. Li, The haplotyping problem: an overview of computational models and solutions. J. Comput. Sci. Technol. 18(6), 675–688 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  4. P. Bonizzoni, C. Braghin, R. Dondi, G. Trucco, The binary persistent perfect phylogeny. Theor. Comput. Sci. 454, 51–63 (2012)

    Article  MATH  MathSciNet  Google Scholar 

  5. J. Camin, R. Sokal, A method for deducting branching sequences in phylogeny. Evolution 19, 311–326 (1965)

    Article  Google Scholar 

  6. L.L. Cavalli-Sforza, A.W.F. Edwards, Phylogenetic analysis. Models and estimation procedures. Am. J. Hum. Genet. 19(3 Pt 1), 233 (1967)

    Google Scholar 

  7. Z. Ding, V. Filkov, D. Gusfield, A linear time algorithm for Perfect Phylogeny Haplotyping (pph) problem. J. Comput. Biol. 13(2), 522–553 (2006)

    Article  MathSciNet  Google Scholar 

  8. T. Dobzhansky, Nothing in biology makes sense except in the light of evolution. Am. Biol. Teach. 35(3), 125–129 (1973)

    Article  Google Scholar 

  9. R.G. Downey, M.R. Fellows, Parameterized Complexity, Monographs in Computer Science, (Springer-Verlag, New York, 1999). ISBN 978-0-387-94883-6

    Book  Google Scholar 

  10. A.W.F. Edwards, L.L. Cavalli-Sforza, The reconstruction of evolution. Heredity 18, 553 (1963)

    Google Scholar 

  11. J. Felsenstein, Inferring Phylogenies (Sinauer Associates, Sunderland, 2004)

    Google Scholar 

  12. S. Felsner, V. Raghavan, J. Spinrad, Recognition algorithms for orders of small width and graphs of small Dilworth number. Order 20, 351–364 (2003)

    Article  MathSciNet  Google Scholar 

  13. D. Fernandez-Baca, J. Lagergren, A polynomial-time algorithm for near-perfect phylogeny. SIAM J. Comput. 32(5), 1115–1127 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  14. L. Foulds, R. Graham, The Steiner problem in phylogeny is NP-complete. Adv. Appl. Math. 3(1), 43–49 (1982)

    Article  MATH  MathSciNet  Google Scholar 

  15. M. Garey, D. Johnson, Computer and Intractability: A Guide to the Theory of NP-Completeness (W.H. Freeman, San Francisco, 1979)

    Google Scholar 

  16. M. Golumbic, Algorithmic Graph Theory and Perfect Graphs (Academic, New York, 1980)

    MATH  Google Scholar 

  17. D. Gusfield, Algorithms on Strings, Trees and Sequences: Computer Science and Computational Biology (Cambridge University Press, Cambridge, 1997)

    Book  MATH  Google Scholar 

  18. D. Gusfield, Haplotyping as perfect phylogeny: conceptual framework and efficient solutions, in Proceedings of the 6th Annual Conference on Research in Computational Molecular Biology (RECOMB), Washington, DC, 2002, pp. 166–175

    Google Scholar 

  19. J. Håstad, Clique is hard to approximate within n 1−ε. Acta Math. 182, 105–142 (1999). doi:10.1007/BF02392825

    Article  MATH  MathSciNet  Google Scholar 

  20. S. Kannan, T. Warnow, A fast algorithm for the computation and enumeration of perfect phylogenies. SIAM J. Comput. 26(6), 1749–1763 (1997)

    Article  MATH  MathSciNet  Google Scholar 

  21. R.M. Karp, Reducibility among combinatorial problems, in Complexity of Computer Computations, ed. by R.E. Miller, J.W. Thatcher. The IBM Research Symposia Series (Plenum Press, New York, 1972), pp. 85–103

    Chapter  Google Scholar 

  22. I. Peer, T. Pupko, R. Shamir, R. Sharan, Incomplete directed perfect phylogeny. SIAM J. Comput. 33(3), 590–607 (2004)

    Article  MathSciNet  Google Scholar 

  23. T.M. Przytycka, An important connection between network motifs and parsimony models, in Proceedings of the 10th Annual Conference on Research in Computational Molecular Biology (RECOMB), Venice, 2006, pp. 321–335

    Google Scholar 

  24. T. Przytycka, G. Davis, N. Song, D. Durand, Graph theoretical insights into Dollo parsimony and evolution of multidomain proteins. J. Comput. Biol. 13(2), 351–363 (2006)

    Article  MathSciNet  Google Scholar 

  25. R.V. Satya, A. Mukherjee, G. Alexe, L. Parida, G. Bhanot, Constructing near-perfect phylogenies with multiple homoplasy events, in ISMB (Supplement of Bioinformatics), Fortaleza, 2006, pp. 514–522

    Google Scholar 

  26. C. Semple, M. Steel, Phylogenetics. Oxford Lecture Series in Mathematics and Its Applications (Oxford University Press, Oxford, 2003)

    Google Scholar 

  27. S. Sridhar, K. Dhamdhere, G. Blelloch, E. Halperin, R. Ravi, R. Schwartz, Algorithms for efficient near-perfect phylogenetic tree reconstruction in theory and practice. IEEE/ACM Trans. Comput. Biol. Bioinf. 4(4), 561–571 (2007)

    Article  Google Scholar 

  28. A. Subramanian, S. Shackney, R. Schwartz, Inference of tumor phylogenies from genomic assays on heterogeneous samples. J. Biomed. Biotechnol. 2012, 1–16 (2012)

    Google Scholar 

  29. W.T. Tutte, An algorithm for determining whether a given binary matroid is graphic. Proc. Am. Math. Soc. 11(6), 905–917 (1960)

    MathSciNet  Google Scholar 

  30. J. Zheng, I.B. Rogozin, E.V. Koonin, T.M. Przytycka, Support for the Coelomata clade of animals from a rigorous analysis of the pattern of intron conservation. Mol. Biol. Evol. 24(11), 2583–2592 (2007)

    Article  Google Scholar 

  31. E. Zotenko, K.S. Guimarães, R. Jothi, T.M. Przytycka, Decomposition of overlapping protein complexes: a graph theoretical method for analyzing static and dynamic protein associations. Algorithms Mol. Biol. 7(1), 1–11 (2006)

    Google Scholar 

Download references

Acknowledgements

PB and APC are supported by the Fondo di Ateneo 2011 grant “Metodi algoritmici per l’analisi di strutture combinatorie in bioinformatica”. GDV is supported by the Fondo di Ateneo 2011 grant “Tecniche algoritmiche avanzate in Biologia Computazionale”. PB, GDV and RD are supported by the MIUR PRIN 2010–2011 grant “Automi e Linguaggi Formali: Aspetti Matematici e Applicativi”, code H41J12000190001. TMP is supported by the Intramural Research Program of the National Institutes of Health, National Library of Medicine.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Paola Bonizzoni .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Bonizzoni, P., Carrieri, A.P., Vedova, G.D., Dondi, R., Przytycka, T.M. (2014). When and How the Perfect Phylogeny Model Explains Evolution. In: Jonoska, N., Saito, M. (eds) Discrete and Topological Models in Molecular Biology. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40193-0_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-40193-0_4

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40192-3

  • Online ISBN: 978-3-642-40193-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics