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The Chordate Proteome History Database

The chordate proteome history database (http://ioda.univ-provence.fr) comprises some 20,000 evolutionary analyses of proteins from chordate species. Our main objective was to characterize and study the evolutionary histories of the chordate proteome, and in particular to detect genomic events and au...

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Autores principales: Levasseur, Anthony, Paganini, Julien, Dainat, Jacques, Thompson, Julie D., Poch, Olivier, Pontarotti, Pierre, Gouret, Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3418167/
https://www.ncbi.nlm.nih.gov/pubmed/22904610
http://dx.doi.org/10.4137/EBO.S9186
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author Levasseur, Anthony
Paganini, Julien
Dainat, Jacques
Thompson, Julie D.
Poch, Olivier
Pontarotti, Pierre
Gouret, Philippe
author_facet Levasseur, Anthony
Paganini, Julien
Dainat, Jacques
Thompson, Julie D.
Poch, Olivier
Pontarotti, Pierre
Gouret, Philippe
author_sort Levasseur, Anthony
collection PubMed
description The chordate proteome history database (http://ioda.univ-provence.fr) comprises some 20,000 evolutionary analyses of proteins from chordate species. Our main objective was to characterize and study the evolutionary histories of the chordate proteome, and in particular to detect genomic events and automatic functional searches. Firstly, phylogenetic analyses based on high quality multiple sequence alignments and a robust phylogenetic pipeline were performed for the whole protein and for each individual domain. Novel approaches were developed to identify orthologs/paralogs, and predict gene duplication/gain/loss events and the occurrence of new protein architectures (domain gains, losses and shuffling). These important genetic events were localized on the phylogenetic trees and on the genomic sequence. Secondly, the phylogenetic trees were enhanced by the creation of phylogroups, whereby groups of orthologous sequences created using OrthoMCL were corrected based on the phylogenetic trees; gene family size and gene gain/loss in a given lineage could be deduced from the phylogroups. For each ortholog group obtained from the phylogenetic or the phylogroup analysis, functional information and expression data can be retrieved. Database searches can be performed easily using biological objects: protein identifier, keyword or domain, but can also be based on events, eg, domain exchange events can be retrieved. To our knowledge, this is the first database that links group clustering, phylogeny and automatic functional searches along with the detection of important events occurring during genome evolution, such as the appearance of a new domain architecture.
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spelling pubmed-34181672012-08-17 The Chordate Proteome History Database Levasseur, Anthony Paganini, Julien Dainat, Jacques Thompson, Julie D. Poch, Olivier Pontarotti, Pierre Gouret, Philippe Evol Bioinform Online Original Research The chordate proteome history database (http://ioda.univ-provence.fr) comprises some 20,000 evolutionary analyses of proteins from chordate species. Our main objective was to characterize and study the evolutionary histories of the chordate proteome, and in particular to detect genomic events and automatic functional searches. Firstly, phylogenetic analyses based on high quality multiple sequence alignments and a robust phylogenetic pipeline were performed for the whole protein and for each individual domain. Novel approaches were developed to identify orthologs/paralogs, and predict gene duplication/gain/loss events and the occurrence of new protein architectures (domain gains, losses and shuffling). These important genetic events were localized on the phylogenetic trees and on the genomic sequence. Secondly, the phylogenetic trees were enhanced by the creation of phylogroups, whereby groups of orthologous sequences created using OrthoMCL were corrected based on the phylogenetic trees; gene family size and gene gain/loss in a given lineage could be deduced from the phylogroups. For each ortholog group obtained from the phylogenetic or the phylogroup analysis, functional information and expression data can be retrieved. Database searches can be performed easily using biological objects: protein identifier, keyword or domain, but can also be based on events, eg, domain exchange events can be retrieved. To our knowledge, this is the first database that links group clustering, phylogeny and automatic functional searches along with the detection of important events occurring during genome evolution, such as the appearance of a new domain architecture. Libertas Academica 2012-08-01 /pmc/articles/PMC3418167/ /pubmed/22904610 http://dx.doi.org/10.4137/EBO.S9186 Text en © the author(s), publisher and licensee Libertas Academica Ltd. This is an open access article. Unrestricted non-commercial use is permitted provided the original work is properly cited.
spellingShingle Original Research
Levasseur, Anthony
Paganini, Julien
Dainat, Jacques
Thompson, Julie D.
Poch, Olivier
Pontarotti, Pierre
Gouret, Philippe
The Chordate Proteome History Database
title The Chordate Proteome History Database
title_full The Chordate Proteome History Database
title_fullStr The Chordate Proteome History Database
title_full_unstemmed The Chordate Proteome History Database
title_short The Chordate Proteome History Database
title_sort chordate proteome history database
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3418167/
https://www.ncbi.nlm.nih.gov/pubmed/22904610
http://dx.doi.org/10.4137/EBO.S9186
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