Literature DB >> 23680992

Trinets encode tree-child and level-2 phylogenetic networks.

Leo van Iersel1, Vincent Moulton.   

Abstract

Phylogenetic networks generalize evolutionary trees, and are commonly used to represent evolutionary histories of species that undergo reticulate evolutionary processes such as hybridization, recombination and lateral gene transfer. Recently, there has been great interest in trying to develop methods to construct rooted phylogenetic networks from triplets, that is rooted trees on three species. However, although triplets determine or encode rooted phylogenetic trees, they do not in general encode rooted phylogenetic networks, which is a potential issue for any such method. Motivated by this fact, Huber and Moulton recently introduced trinets as a natural extension of rooted triplets to networks. In particular, they showed that [Formula: see text] phylogenetic networks are encoded by their trinets, and also conjectured that all "recoverable" rooted phylogenetic networks are encoded by their trinets. Here we prove that recoverable binary level-2 networks and binary tree-child networks are also encoded by their trinets. To do this we prove two decomposition theorems based on trinets which hold for all recoverable binary rooted phylogenetic networks. Our results provide some additional evidence in support of the conjecture that trinets encode all recoverable rooted phylogenetic networks, and could also lead to new approaches to construct phylogenetic networks from trinets.

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Year:  2013        PMID: 23680992     DOI: 10.1007/s00285-013-0683-5

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  18 in total

1.  Comparison of galled trees.

Authors:  Gabriel Cardona; Mercè Llabrés; Francesc Rosselló; Gabriel Valiente
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2011 Mar-Apr       Impact factor: 3.710

2.  PhySIC: a veto supertree method with desirable properties.

Authors:  Vincent Ranwez; Vincent Berry; Alexis Criscuolo; Pierre-Henri Fabre; Sylvain Guillemot; Celine Scornavacca; Emmanuel J P Douzery
Journal:  Syst Biol       Date:  2007-10       Impact factor: 15.683

3.  Uniqueness, intractability and exact algorithms: reflections on level-k phylogenetic networks.

Authors:  Leo Van Iersel; Steven Kelk; Matthias Mnich
Journal:  J Bioinform Comput Biol       Date:  2009-08       Impact factor: 1.122

4.  Parsimony score of phylogenetic networks: hardness results and a linear-time heuristic.

Authors:  Guohua Jin; Luay Nakhleh; Sagi Snir; Tamir Tuller
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2009 Jul-Sep       Impact factor: 3.710

5.  Metrics for phylogenetic networks II: nodal and triplets metrics.

Authors:  Gabriel Cardona; Mercè Llabrés; Francesc Rosselló; Gabriel Valiente
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2009 Jul-Sep       Impact factor: 3.710

6.  On encodings of phylogenetic networks of bounded level.

Authors:  Philippe Gambette; Katharina T Huber
Journal:  J Math Biol       Date:  2011-07-14       Impact factor: 2.259

7.  Constructing a minimum phylogenetic network from a dense triplet set.

Authors:  Michel Habib; Thu-Hien To
Journal:  J Bioinform Comput Biol       Date:  2012-10       Impact factor: 1.122

8.  Quartets and unrooted phylogenetic networks.

Authors:  Philippe Gambette; Vincent Berry; Christophe Paul
Journal:  J Bioinform Comput Biol       Date:  2012-06-22       Impact factor: 1.122

9.  Tree-average distances on certain phylogenetic networks have their weights uniquely determined.

Authors:  Stephen J Willson
Journal:  Algorithms Mol Biol       Date:  2012-05-15       Impact factor: 1.405

10.  PhySIC_IST: cleaning source trees to infer more informative supertrees.

Authors:  Celine Scornavacca; Vincent Berry; Vincent Lefort; Emmanuel J P Douzery; Vincent Ranwez
Journal:  BMC Bioinformatics       Date:  2008-10-04       Impact factor: 3.169

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  9 in total

1.  Reconstruction of LGT networks from tri-LGT-nets.

Authors:  Gabriel Cardona; Joan Carles Pons
Journal:  J Math Biol       Date:  2017-04-27       Impact factor: 2.259

2.  On the challenge of reconstructing level-1 phylogenetic networks from triplets and clusters.

Authors:  Philippe Gambette; K T Huber; S Kelk
Journal:  J Math Biol       Date:  2016-10-31       Impact factor: 2.259

3.  Distinguishing level-1 phylogenetic networks on the basis of data generated by Markov processes.

Authors:  Elizabeth Gross; Leo van Iersel; Remie Janssen; Mark Jones; Colby Long; Yukihiro Murakami
Journal:  J Math Biol       Date:  2021-09-04       Impact factor: 2.259

4.  A polynomial invariant for a new class of phylogenetic networks.

Authors:  Joan Carles Pons; Tomás M Coronado; Michael Hendriksen; Andrew Francis
Journal:  PLoS One       Date:  2022-05-20       Impact factor: 3.752

5.  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

6.  Generation of Binary Tree-Child phylogenetic networks.

Authors:  Gabriel Cardona; Joan Carles Pons; Celine Scornavacca
Journal:  PLoS Comput Biol       Date:  2019-09-11       Impact factor: 4.475

7.  How much information is needed to infer reticulate evolutionary histories?

Authors:  Katharina T Huber; Leo Van Iersel; Vincent Moulton; Taoyang Wu
Journal:  Syst Biol       Date:  2014-09-18       Impact factor: 15.683

8.  A maximum pseudo-likelihood approach for phylogenetic networks.

Authors:  Yun Yu; Luay Nakhleh
Journal:  BMC Genomics       Date:  2015-10-02       Impact factor: 3.969

9.  Applicability of several rooted phylogenetic network algorithms for representing the evolutionary history of SARS-CoV-2.

Authors:  Rosanne Wallin; Leo van Iersel; Steven Kelk; Leen Stougie
Journal:  BMC Ecol Evol       Date:  2021-12-07
  9 in total

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