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Constructing a Smallest Refining Galled Phylogenetic Network

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Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 3500))

Abstract

Reticulation events occur frequently in many types of species. Therefore, to develop accurate methods for reconstructing phylogenetic networks in order to describe evolutionary history in the presence of reticulation events is important. Previous work has suggested that constructing phylogenetic networks by merging gene trees is a biologically meaningful approach. This paper presents two new efficient algorithms for inferring a phylogenetic network from a set \(\mathcal{T}\) of gene trees of arbitrary degrees. The first algorithm solves the open problem of constructing a refining galled network for \(\mathcal{T}\) (if one exists) with no restriction on the number of hybrid nodes; in fact, it outputs the smallest possible solution. In comparison, the previously best method (SpNet) can only construct networks having a single hybrid node. For cases where there exists no refining galled network for \(\mathcal{T}\), our second algorithm identifies a minimum subset of the species set to be removed so that the resulting trees can be combined into a galled network. Based on our two algorithms, we propose two general methods named RGNet and RGNet+. Through simulations, we show that our methods outperform the other existing methods neighbor-joining, NeighborNet, and SpNet.

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© 2005 Springer-Verlag Berlin Heidelberg

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Huynh, T.N.D., Jansson, J., Nguyen, N.B., Sung, WK. (2005). Constructing a Smallest Refining Galled Phylogenetic Network. In: Miyano, S., Mesirov, J., Kasif, S., Istrail, S., Pevzner, P.A., Waterman, M. (eds) Research in Computational Molecular Biology. RECOMB 2005. Lecture Notes in Computer Science(), vol 3500. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11415770_20

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  • DOI: https://doi.org/10.1007/11415770_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25866-7

  • Online ISBN: 978-3-540-31950-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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