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GLADX: An Automated Approach to Analyze the Lineage-Specific Loss and Pseudogenization of Genes

A well-established ancestral gene can usually be found, in one or multiple copies, in different descendant species. Sometimes during the course of evolution, all the representatives of a well-established ancestral gene disappear in specific lineages; such gene losses may occur in the genome by delet...

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Detalles Bibliográficos
Autores principales: Dainat, Jacques, Paganini, Julien, Pontarotti, Pierre, Gouret, Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3377690/
https://www.ncbi.nlm.nih.gov/pubmed/22723889
http://dx.doi.org/10.1371/journal.pone.0038792
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author Dainat, Jacques
Paganini, Julien
Pontarotti, Pierre
Gouret, Philippe
author_facet Dainat, Jacques
Paganini, Julien
Pontarotti, Pierre
Gouret, Philippe
author_sort Dainat, Jacques
collection PubMed
description A well-established ancestral gene can usually be found, in one or multiple copies, in different descendant species. Sometimes during the course of evolution, all the representatives of a well-established ancestral gene disappear in specific lineages; such gene losses may occur in the genome by deletion of a DNA fragment or by pseudogenization. The loss of an entire gene family in a given lineage may reflect an important phenomenon, and could be due either to adaptation, or to a relaxation of selection that leads to neutral evolution. Therefore, the lineage-specific gene loss analyses are important to improve the understanding of the evolutionary history of genes and genomes. In order to perform this kind of study from the increasing number of complete genome sequences available, we developed a unique new software module called GLADX in the DAGOBAH framework, based on a comparative genomic approach. The software is able to automatically detect, for all the species of a phylum, the presence/absence of a representative of a well-established ancestral gene, and by systematic steps of re-annotation, confirm losses, detect and analyze pseudogenes and find novel genes. The approach is based on the use of highly reliable gene phylogenies, of protein predictions and on the analysis of genomic mutations. All the evidence associated to evolutionary approach provides accurate information for building an overall view of the evolution of a given gene in a selected phylum. The reliability of GLADX has been successfully tested on a benchmark analysis of 14 reported cases. It is the first tool that is able to fully automatically study the lineage-specific losses and pseudogenizations. GLADX is available at http://ioda.univ-provence.fr/IodaSite/gladx/.
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spelling pubmed-33776902012-06-21 GLADX: An Automated Approach to Analyze the Lineage-Specific Loss and Pseudogenization of Genes Dainat, Jacques Paganini, Julien Pontarotti, Pierre Gouret, Philippe PLoS One Research Article A well-established ancestral gene can usually be found, in one or multiple copies, in different descendant species. Sometimes during the course of evolution, all the representatives of a well-established ancestral gene disappear in specific lineages; such gene losses may occur in the genome by deletion of a DNA fragment or by pseudogenization. The loss of an entire gene family in a given lineage may reflect an important phenomenon, and could be due either to adaptation, or to a relaxation of selection that leads to neutral evolution. Therefore, the lineage-specific gene loss analyses are important to improve the understanding of the evolutionary history of genes and genomes. In order to perform this kind of study from the increasing number of complete genome sequences available, we developed a unique new software module called GLADX in the DAGOBAH framework, based on a comparative genomic approach. The software is able to automatically detect, for all the species of a phylum, the presence/absence of a representative of a well-established ancestral gene, and by systematic steps of re-annotation, confirm losses, detect and analyze pseudogenes and find novel genes. The approach is based on the use of highly reliable gene phylogenies, of protein predictions and on the analysis of genomic mutations. All the evidence associated to evolutionary approach provides accurate information for building an overall view of the evolution of a given gene in a selected phylum. The reliability of GLADX has been successfully tested on a benchmark analysis of 14 reported cases. It is the first tool that is able to fully automatically study the lineage-specific losses and pseudogenizations. GLADX is available at http://ioda.univ-provence.fr/IodaSite/gladx/. Public Library of Science 2012-06-18 /pmc/articles/PMC3377690/ /pubmed/22723889 http://dx.doi.org/10.1371/journal.pone.0038792 Text en Dainat et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Dainat, Jacques
Paganini, Julien
Pontarotti, Pierre
Gouret, Philippe
GLADX: An Automated Approach to Analyze the Lineage-Specific Loss and Pseudogenization of Genes
title GLADX: An Automated Approach to Analyze the Lineage-Specific Loss and Pseudogenization of Genes
title_full GLADX: An Automated Approach to Analyze the Lineage-Specific Loss and Pseudogenization of Genes
title_fullStr GLADX: An Automated Approach to Analyze the Lineage-Specific Loss and Pseudogenization of Genes
title_full_unstemmed GLADX: An Automated Approach to Analyze the Lineage-Specific Loss and Pseudogenization of Genes
title_short GLADX: An Automated Approach to Analyze the Lineage-Specific Loss and Pseudogenization of Genes
title_sort gladx: an automated approach to analyze the lineage-specific loss and pseudogenization of genes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3377690/
https://www.ncbi.nlm.nih.gov/pubmed/22723889
http://dx.doi.org/10.1371/journal.pone.0038792
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