TriLoNet: Piecing together small networks to reconstruct reticulate evolutionary histories

Oldman, James, Wu, Taoyang, Van Iersel, Leo and Moulton, Vincent (2016) TriLoNet: Piecing together small networks to reconstruct reticulate evolutionary histories. Molecular Biology and Evolution, 33 (8). pp. 2151-2162. ISSN 0737-4038

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Abstract

Phylogenetic networks are a generalisation of evolutionary trees that can be used to represent reticulate processes such as hybridisation and recombination. Here we introduce a new approach called TriLoNet to construct such networks directly from sequence alignments which works by piecing together smaller phylogenetic networks. More specifically, using a bottom up approach similar to Neighbor-Joining, TriLoNet constructs level-1 networks (networks that are somewhat more general than trees) from smaller level-1 networks on three taxa. In simulations we show that TriLoNet compares well with Lev1athan, a method for reconstructing level-1 networks from three-leaved trees. In particular, in simulations we find that Lev1athan tends to generate networks that overestimate the number of reticulate events as compared with those generated by TriLoNet. We also illustrate TriLoNet’s applicability using simulated and real sequence data involving recombination, demonstrating that it has the potential to reconstruct informative reticulate evolutionary histories. TriLoNet has been implemented in JAVA and is freely available at https://www.uea.ac.uk/computing/TriLoNet.

Item Type: Article
Uncontrolled Keywords: phylogenetic network,reticulate evolution,networks reconstruction,supernetwork
Faculty \ School: Faculty of Science > School of Computing Sciences
Related URLs:
Depositing User: Pure Connector
Date Deposited: 15 Apr 2016 15:00
Last Modified: 29 Jul 2020 23:38
URI: https://ueaeprints.uea.ac.uk/id/eprint/58283
DOI: 10.1093/molbev/msw068

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