Literature DB >> 25502987

Exploring the space of gene/species reconciliations with transfers.

Yao-Ban Chan1, Vincent Ranwez2, Céline Scornavacca3.   

Abstract

Reconciliations between gene and species trees have important applications in the study of genome evolution (e.g. sequence orthology prediction or quantification of transfer events). While numerous methods have been proposed to infer them, little has been done to study the underlying reconciliation space. In this paper, we characterise the reconciliation space for two evolutionary models: the [Formula: see text] (duplication, loss and transfer) model and a variant of it-the no-[Formula: see text] model-which does not allow [Formula: see text] events (a transfer immediately followed by a loss). We provide formulae to compute the size of the corresponding spaces and define a set of transformation operators sufficient to explore the entire reconciliation space. We also define a distance between two reconciliations as the minimal number of operations needed to transform one into the other and prove that this distance is easily computable in the no-[Formula: see text] model. Computing this distance in the [Formula: see text] model is more difficult and it is an open question whether it is NP-hard or not. This work constitutes an important step toward reconciliation space characterisation and reconciliation comparison, needed to better assess the performance of reconciliation inference methods through simulations.

Keywords:  Counting; Distance; Gene duplication; Gene transfer; Phylogenomics; Reconciliation; Sampling

Mesh:

Year:  2014        PMID: 25502987     DOI: 10.1007/s00285-014-0851-2

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


  13 in total

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Journal:  Mol Biol Evol       Date:  2004-03-10       Impact factor: 16.240

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Authors:  Sophie S Abby; Eric Tannier; Manolo Gouy; Vincent Daubin
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5.  Support measures to estimate the reliability of evolutionary events predicted by reconciliation methods.

Authors:  Thi-Hau Nguyen; Vincent Ranwez; Vincent Berry; Celine Scornavacca
Journal:  PLoS One       Date:  2013-10-04       Impact factor: 3.240

6.  Simultaneous identification of duplications and lateral gene transfers.

Authors:  Ali Tofigh; Michael Hallett; Jens Lagergren
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2011 Mar-Apr       Impact factor: 3.710

7.  Representing a set of reconciliations in a compact way.

Authors:  Celine Scornavacca; Wojciech Paprotny; Vincent Berry; Vincent Ranwez
Journal:  J Bioinform Comput Biol       Date:  2012-12-28       Impact factor: 1.122

8.  A Bayesian approach for fast and accurate gene tree reconstruction.

Authors:  Matthew D Rasmussen; Manolis Kellis
Journal:  Mol Biol Evol       Date:  2010-07-25       Impact factor: 16.240

9.  Efficient exploration of the space of reconciled gene trees.

Authors:  Gergely J Szöllõsi; Wojciech Rosikiewicz; Bastien Boussau; Eric Tannier; Vincent Daubin
Journal:  Syst Biol       Date:  2013-08-06       Impact factor: 15.683

10.  Orthology prediction at scalable resolution by phylogenetic tree analysis.

Authors:  René T J M van der Heijden; Berend Snel; Vera van Noort; Martijn A Huynen
Journal:  BMC Bioinformatics       Date:  2007-03-08       Impact factor: 3.169

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  2 in total

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Journal:  J Math Biol       Date:  2019-02-15       Impact factor: 2.259

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