Literature DB >> 28414085

Lost in space? Generalising subtree prune and regraft to spaces of phylogenetic networks.

Magnus Bordewich1, Simone Linz2, Charles Semple3.   

Abstract

Over the last fifteen years, phylogenetic networks have become a popular tool to analyse relationships between species whose past includes reticulation events such as hybridisation or horizontal gene transfer. However, the space of phylogenetic networks is significantly larger than that of phylogenetic trees, and how to analyse and search this enlarged space remains a poorly understood problem. Inspired by the widely-used rooted subtree prune and regraft (rSPR) operation on rooted phylogenetic trees, we propose a new operation-called subnet prune and regraft (SNPR)-that induces a metric on the space of all rooted phylogenetic networks on a fixed set of leaves. We show that the spaces of several popular classes of rooted phylogenetic networks (e.g. tree child, reticulation visible, and tree based) are connected under SNPR and that connectedness remains for the subclasses of these networks with a fixed number of reticulations. Lastly, we bound the distance between two rooted phylogenetic networks under the SNPR operation, show that it is computationally hard to compute this distance exactly, and analyse how the SNPR-distance between two such networks relates to the rSPR-distance between rooted phylogenetic trees that are embedded in these networks.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Phylogenetic networks; Reticulation-visible network; Subnet prune and regraft; Tree-based network; Tree-child network

Mesh:

Year:  2017        PMID: 28414085     DOI: 10.1016/j.jtbi.2017.03.032

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  6 in total

1.  Exploring the Tiers of Rooted Phylogenetic Network Space Using Tail Moves.

Authors:  Remie Janssen; Mark Jones; Péter L Erdős; Leo van Iersel; Celine Scornavacca
Journal:  Bull Math Biol       Date:  2018-06-14       Impact factor: 1.758

2.  RF-Net 2: Fast Inference of Virus Reassortment and Hybridization Networks.

Authors:  Alexey Markin; Sanket Wagle; Tavis K Anderson; Oliver Eulenstein
Journal:  Bioinformatics       Date:  2022-02-12       Impact factor: 6.937

3.  A Bayesian approach to infer recombination patterns in coronaviruses.

Authors:  Nicola F Müller; Kathryn E Kistler; Trevor Bedford
Journal:  Nat Commun       Date:  2022-07-20       Impact factor: 17.694

4.  Orchard Networks are Trees with Additional Horizontal Arcs.

Authors:  Leo van Iersel; Remie Janssen; Mark Jones; Yukihiro Murakami
Journal:  Bull Math Biol       Date:  2022-06-21       Impact factor: 3.871

5.  Generating normal networks via leaf insertion and nearest neighbor interchange.

Authors:  Louxin Zhang
Journal:  BMC Bioinformatics       Date:  2019-12-17       Impact factor: 3.169

6.  Recombination patterns in coronaviruses.

Authors:  Nicola F Müller; Kathryn E Kistler; Trevor Bedford
Journal:  bioRxiv       Date:  2022-02-08
  6 in total

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