How much information is needed to infer reticulate evolutionary histories?

Katharina T Huber, Leo Van Iersel, Vincent Moulton, Taoyang Wu
Author Information
  1. Katharina T Huber: School of Computing Sciences, University of East Anglia, Norwich, UK, and Centrum Wiskunde & Informatica (CWI), Amsterdam, Netherlands.
  2. Leo Van Iersel: School of Computing Sciences, University of East Anglia, Norwich, UK, and Centrum Wiskunde & Informatica (CWI), Amsterdam, Netherlands.
  3. Vincent Moulton: School of Computing Sciences, University of East Anglia, Norwich, UK, and Centrum Wiskunde & Informatica (CWI), Amsterdam, Netherlands vincent.moulton@cmp.uea.ac.uk.
  4. Taoyang Wu: School of Computing Sciences, University of East Anglia, Norwich, UK, and Centrum Wiskunde & Informatica (CWI), Amsterdam, Netherlands.

Abstract

Phylogenetic networks are a generalization of evolutionary trees and are an important tool for analyzing reticulate evolutionary histories. Recently, there has been great interest in developing new methods to construct rooted phylogenetic networks, that is, networks whose internal vertices correspond to hypothetical ancestors, whose leaves correspond to sampled taxa, and in which vertices with more than one parent correspond to taxa formed by reticulate evolutionary events such as recombination or hybridization. Several methods for constructing evolutionary trees use the strategy of building up a tree from simpler building blocks (such as triplets or clusters), and so it is natural to look for ways to construct networks from smaller networks. In this article, we shall demonstrate a fundamental issue with this approach. Namely, we show that even if we are given all of the subnetworks induced on all proper subsets of the leaves of some rooted phylogenetic network, we still do not have all of the information required to completely determine that network. This implies that even if all of the building blocks for some reticulate evolutionary history were to be taken as the input for any given network building method, the method might still output an incorrect history. We also discuss some potential consequences of this result for constructing phylogenetic networks.

Keywords

References

  1. Genome Res. 2005 Jul;15(7):954-9 [PMID: 15965028]
  2. Bioinformatics. 2010 Jun 15;26(12):i124-31 [PMID: 20529896]
  3. Int J Legal Med. 2001 Oct;115(2):64-9 [PMID: 11724431]
  4. Am J Bot. 2011 Dec;98(12):1978-88 [PMID: 22081412]
  5. J Math Biol. 2013 Jan;66(1-2):37-74 [PMID: 22246066]
  6. J Math Biol. 2012 Jul;65(1):157-80 [PMID: 21755321]
  7. Syst Biol. 2012 Dec 1;61(6):1061-7 [PMID: 22780991]
  8. PLoS One. 2012;7(11):e50631 [PMID: 23226339]
  9. IEEE/ACM Trans Comput Biol Bioinform. 2009 Oct-Dec;6(4):667-81 [PMID: 19875864]
  10. J Comput Biol. 2013 Oct;20(10):738-54 [PMID: 24033262]
  11. IEEE/ACM Trans Comput Biol Bioinform. 2011 May-Jun;8(3):785-96 [PMID: 20714025]
  12. IEEE/ACM Trans Comput Biol Bioinform. 2004 Jul-Sep;1(3):109-15 [PMID: 17048386]
  13. J Math Biol. 2014 Jun;68(7):1707-29 [PMID: 23680992]
  14. Mol Biol Evol. 2010 May;27(5):1044-57 [PMID: 20034996]
  15. J Evol Biol. 2013 Feb;26(2):229-46 [PMID: 23323997]
  16. Trends Ecol Evol. 1992 Mar;7(3):73-9 [PMID: 21235960]
  17. PLoS One. 2013 Aug 07;8(8):e71148 [PMID: 23940707]
  18. Proc Natl Acad Sci U S A. 2008 Jul 22;105(29):10039-44 [PMID: 18632554]
  19. Mol Biol Evol. 2006 Feb;23(2):254-67 [PMID: 16221896]
  20. IEEE/ACM Trans Comput Biol Bioinform. 2011 May-Jun;8(3):635-49 [PMID: 21393651]
  21. Genome Biol. 2013 Nov 22;14(11):R127 [PMID: 24267588]
  22. Mol Phylogenet Evol. 2000 Jul;16(1):8-28 [PMID: 10877936]
  23. Bull Math Biol. 2013 Oct;75(10):1840-78 [PMID: 23864219]
  24. J Theor Biol. 2008 Apr 7;251(3):440-9 [PMID: 18249415]
  25. Nature. 2007 Mar 15;446(7133):279-83 [PMID: 17361174]
  26. Int J Parasitol. 2005 Apr 30;35(5):567-82 [PMID: 15826648]
  27. Trends Genet. 2013 Aug;29(8):439-41 [PMID: 23764187]
  28. Syst Biol. 2005 Feb;54(1):66-76 [PMID: 15805011]

MeSH Term

Classification
Cryptococcus gattii
Models, Theoretical
Phylogeny

Word Cloud

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