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Evolution of gene neighborhoods within reconciled phylogenies

Sèverine Bérard 1, 2 Coralie Gallien 1 Bastien Boussau 3 Gergely J Szöllosi 3 Vincent Daubin 3 Eric Tannier 3, 4 
2 MAB - Méthodes et Algorithmes pour la Bioinformatique
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
4 BEAGLE - Artificial Evolution and Computational Biology
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information, Inria Grenoble - Rhône-Alpes, LBBE - Laboratoire de Biométrie et Biologie Evolutive - UMR 5558
Abstract : MOTIVATION: Most models of genome evolution integrating gene duplications, losses and chromosomal rearrangements are computationally intract able, even when comparing only two genomes. This prevents large-scale studies that consider different types of genome structural variations. RESULTS: We define an 'adjacency phylogenetic tree' that describes the evolution of an adjacency, a neighborhood relation between two genes, by speciation, duplication or loss of one or both genes, and rearrangement. We describe an algorithm that, given a species tree and a set of gene trees where the leaves are connected by adjacencies, computes an adjacency forest that minimizes the number of gains and breakages of adjacencies (caused by rearrangements) and runs in polynomial time. We use this algorithm to reconstruct contiguous regions of mammalian and plant ancestral genomes in a few minutes for a dozen species and several thousand genes. We show that this method yields reduced conflict between ancestral adjacencies. We detect duplications involving several genes and compare the different modes of evolution between phyla and among lineages.
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Contributor : Eric Tannier Connect in order to contact the contributor
Submitted on : Tuesday, September 18, 2012 - 10:40:45 AM
Last modification on : Friday, September 30, 2022 - 11:34:15 AM

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Sèverine Bérard, Coralie Gallien, Bastien Boussau, Gergely J Szöllosi, Vincent Daubin, et al.. Evolution of gene neighborhoods within reconciled phylogenies. Bioinformatics, Oxford University Press (OUP), 2012, 28 (18), pp.i382-i388. ⟨10.1093/bioinformatics/bts374⟩. ⟨hal-00733178⟩



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