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Genome-wide probabilistic reconciliation analysis across vertebrates

Gene duplication is considered to be a major driving force in evolution that enables the genome of a species to acquire new functions. A reconciliation - a mapping of gene tree vertices to the edges or vertices of a species tree - explains where gene duplications have occurred on the species tree. I...

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Autores principales: Mahmudi, Owais, Sjöstrand, Joel, Sennblad, Bengt, Lagergren, Jens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3852046/
https://www.ncbi.nlm.nih.gov/pubmed/24564421
http://dx.doi.org/10.1186/1471-2105-14-S15-S10
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author Mahmudi, Owais
Sjöstrand, Joel
Sennblad, Bengt
Lagergren, Jens
author_facet Mahmudi, Owais
Sjöstrand, Joel
Sennblad, Bengt
Lagergren, Jens
author_sort Mahmudi, Owais
collection PubMed
description Gene duplication is considered to be a major driving force in evolution that enables the genome of a species to acquire new functions. A reconciliation - a mapping of gene tree vertices to the edges or vertices of a species tree - explains where gene duplications have occurred on the species tree. In this study, we sample reconciliations from a posterior over reconciliations, gene trees, edge lengths and other parameters, given a species tree and gene sequences. We employ a Bayesian analysis tool, based on the probabilistic model DLRS that integrates gene duplication, gene loss and sequence evolution under a relaxed molecular clock for substitution rates, to obtain this posterior. By applying these methods, we perform a genome-wide analysis of a nine species dataset, OPTIC, and conclude that for many gene families, the most parsimonious reconciliation (MPR) - a reconciliation that minimizes the number of duplications - is far from the correct explanation of the evolutionary history. For the given dataset, we observe that approximately 19% of the sampled reconciliations are different from MPR. This is in clear contrast with previous estimates, based on simpler models and less realistic assumptions, according to which 98% of the reconciliations can be expected to be identical to MPR. We also generate heatmaps showing where in the species trees duplications have been most frequent during the evolution of these species.
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spelling pubmed-38520462013-12-20 Genome-wide probabilistic reconciliation analysis across vertebrates Mahmudi, Owais Sjöstrand, Joel Sennblad, Bengt Lagergren, Jens BMC Bioinformatics Proceedings Gene duplication is considered to be a major driving force in evolution that enables the genome of a species to acquire new functions. A reconciliation - a mapping of gene tree vertices to the edges or vertices of a species tree - explains where gene duplications have occurred on the species tree. In this study, we sample reconciliations from a posterior over reconciliations, gene trees, edge lengths and other parameters, given a species tree and gene sequences. We employ a Bayesian analysis tool, based on the probabilistic model DLRS that integrates gene duplication, gene loss and sequence evolution under a relaxed molecular clock for substitution rates, to obtain this posterior. By applying these methods, we perform a genome-wide analysis of a nine species dataset, OPTIC, and conclude that for many gene families, the most parsimonious reconciliation (MPR) - a reconciliation that minimizes the number of duplications - is far from the correct explanation of the evolutionary history. For the given dataset, we observe that approximately 19% of the sampled reconciliations are different from MPR. This is in clear contrast with previous estimates, based on simpler models and less realistic assumptions, according to which 98% of the reconciliations can be expected to be identical to MPR. We also generate heatmaps showing where in the species trees duplications have been most frequent during the evolution of these species. BioMed Central 2013-10-15 /pmc/articles/PMC3852046/ /pubmed/24564421 http://dx.doi.org/10.1186/1471-2105-14-S15-S10 Text en Copyright © 2013 Mahmudi et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Proceedings
Mahmudi, Owais
Sjöstrand, Joel
Sennblad, Bengt
Lagergren, Jens
Genome-wide probabilistic reconciliation analysis across vertebrates
title Genome-wide probabilistic reconciliation analysis across vertebrates
title_full Genome-wide probabilistic reconciliation analysis across vertebrates
title_fullStr Genome-wide probabilistic reconciliation analysis across vertebrates
title_full_unstemmed Genome-wide probabilistic reconciliation analysis across vertebrates
title_short Genome-wide probabilistic reconciliation analysis across vertebrates
title_sort genome-wide probabilistic reconciliation analysis across vertebrates
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3852046/
https://www.ncbi.nlm.nih.gov/pubmed/24564421
http://dx.doi.org/10.1186/1471-2105-14-S15-S10
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