Literature DB >> 28678712

Gene Tree Construction and Correction Using SuperTree and Reconciliation.

Manuel Lafond, Cedric Chauve, Nadia El-Mabrouk, Aida Ouangraoua.   

Abstract

The supertree problem asking for a tree displaying a set of consistent input trees has been largely considered for the reconstruction of species trees. Here, we rather explore this framework for the sake of reconstructing a gene tree from a set of input gene trees on partial data. In this perspective, the phylogenetic tree for the species containing the genes of interest can be used to choose among the many possible compatible "supergenetrees", the most natural criteria being to minimize a reconciliation cost. We develop a variety of algorithmic solutions for the construction and correction of gene trees using the supertree framework. A dynamic programming supertree algorithm for constructing or correcting gene trees, exponential in the number of input trees, is first developed for the less constrained version of the problem. It is then adapted to gene trees with nodes labeled as duplication or speciation, the additional constraint being to preserve the orthology and paralogy relations between genes. Then, a quadratic time algorithm is developed for efficiently correcting an initial gene tree while preserving a set of "trusted" subtrees, as well as the relative phylogenetic distance between them, in both cases of labeled or unlabeled input trees. By applying these algorithms to the set of Ensembl gene trees, we show that this new correction framework is particularly useful to correct weakly-supported duplication nodes. The C++ source code for the algorithms and simulations described in the paper are available at https://github.com/UdeM-LBIT/SuGeT.

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Year:  2017        PMID: 28678712     DOI: 10.1109/TCBB.2017.2720581

Source DB:  PubMed          Journal:  IEEE/ACM Trans Comput Biol Bioinform        ISSN: 1545-5963            Impact factor:   3.710


  3 in total

1.  Non-parametric correction of estimated gene trees using TRACTION.

Authors:  Sarah Christensen; Erin K Molloy; Pranjal Vachaspati; Ananya Yammanuru; Tandy Warnow
Journal:  Algorithms Mol Biol       Date:  2020-01-04       Impact factor: 1.405

2.  Tree reconciliation combined with subsampling improves large scale inference of orthologous group hierarchies.

Authors:  Davide Heller; Damian Szklarczyk; Christian von Mering
Journal:  BMC Bioinformatics       Date:  2019-05-06       Impact factor: 3.169

3.  SIESTA: enhancing searches for optimal supertrees and species trees.

Authors:  Pranjal Vachaspati; Tandy Warnow
Journal:  BMC Genomics       Date:  2018-05-08       Impact factor: 3.969

  3 in total

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