Skip to main content

Phylogenetic Networks: Properties and Relationship to Trees and Clusters

  • Conference paper
Transactions on Computational Systems Biology II

Part of the book series: Lecture Notes in Computer Science ((TCSB,volume 3680))

Abstract

Phylogenetic networks model evolutionary histories in the presence of non-treelike events such as hybrid speciation and horizontal gene transfer. In spite of their widely acknowledged importance, very little is known about phylogenetic networks, which have so far been studied mostly for specific datasets.

Even when the evolutionary history of a set of species is non-treelike, individual genes in these species usually evolve in a treelike fashion. An important question, then, is whether a gene tree is “contained” inside a species network. This information is used to detect the presence of events such as horizontal gene transfer and hybrid speciation. Another question of interest for biologists is whether a group of taxa forms a clade based on a given phylogeny. This can be efficiently answered when the phylogeny is a tree simply by inspecting the edges of the tree, whereas no efficient solution currently exists for the problem when the phylogeny is a network. In this paper, we give polynomial-time algorithms for answering the above two questions.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bryant, D., Moulton, V.: NeighborNet: An agglomerative method for the construction of planar phylogenetic networks. In: Guigó, R., Gusfield, D. (eds.) WABI 2002. LNCS, vol. 2452, pp. 375–391. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  2. Felsenstein, J.: Inferring Phylogenies. Sinauer Associates, Inc., Sunderland (2003)

    Google Scholar 

  3. Huson, D.H.: SplitsTree: A program for analyzing and visualizing evolutionary data. Bioinformatics 14(1), 68–73 (1998)

    Article  Google Scholar 

  4. Maddison, W.P.: Gene trees in species trees. Systematic Biology 46(3), 523–536 (1997)

    Article  Google Scholar 

  5. Moret, B.M.E., Nakhleh, L., Warnow, T., Linder, C.R., Tholse, A., Padolina, A., Sun, J., Timme, R.: Phylogenetic networks: modeling, reconstructibility, and accuracy. IEEE/ACM Transactions on Computational Biology and Bioinformatics 1(1), 13–23 (2004)

    Article  Google Scholar 

  6. Nakhleh, L., Warnow, T., Linder, C.R.: Reconstructing reticulate evolution in species – theory and practice. In: Proceedings of the Eighth Annual International Conference on Research in Computational Molecular Biology (RECOMB 2004), pp. 337–346 (2004)

    Google Scholar 

  7. Swofford, D.L., Olsen, G.J., Waddell, P.J., Hillis, D.M.: Phylogenetic inference. In: Hillis, D.M., Mable, B.K., Moritz, C. (eds.) Molecular Systematics, pp. 407–514. Sinauer Assoc., Sunderland (1996)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Nakhleh, L., Wang, LS. (2005). Phylogenetic Networks: Properties and Relationship to Trees and Clusters. In: Priami, C., Zelikovsky, A. (eds) Transactions on Computational Systems Biology II. Lecture Notes in Computer Science(), vol 3680. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11567752_6

Download citation

  • DOI: https://doi.org/10.1007/11567752_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29401-6

  • Online ISBN: 978-3-540-31661-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics