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The Prediction and Validation of Small CDSs Expand the Gene Repertoire of the Smallest Known Eukaryotic Genomes

The proper prediction of the gene catalogue of an organism is essential to obtain a representative snapshot of its overall lifestyle, especially when it is not amenable to culturing. Microsporidia are obligate intracellular, sometimes hard to culture, eukaryotic parasites known to infect members of...

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Autores principales: Belkorchia, Abdel, Gasc, Cyrielle, Polonais, Valérie, Parisot, Nicolas, Gallois, Nicolas, Ribière, Céline, Lerat, Emmanuelle, Gaspin, Christine, Pombert, Jean-François, Peyret, Pierre, Peyretaillade, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4589312/
https://www.ncbi.nlm.nih.gov/pubmed/26421846
http://dx.doi.org/10.1371/journal.pone.0139075
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author Belkorchia, Abdel
Gasc, Cyrielle
Polonais, Valérie
Parisot, Nicolas
Gallois, Nicolas
Ribière, Céline
Lerat, Emmanuelle
Gaspin, Christine
Pombert, Jean-François
Peyret, Pierre
Peyretaillade, Eric
author_facet Belkorchia, Abdel
Gasc, Cyrielle
Polonais, Valérie
Parisot, Nicolas
Gallois, Nicolas
Ribière, Céline
Lerat, Emmanuelle
Gaspin, Christine
Pombert, Jean-François
Peyret, Pierre
Peyretaillade, Eric
author_sort Belkorchia, Abdel
collection PubMed
description The proper prediction of the gene catalogue of an organism is essential to obtain a representative snapshot of its overall lifestyle, especially when it is not amenable to culturing. Microsporidia are obligate intracellular, sometimes hard to culture, eukaryotic parasites known to infect members of every animal phylum. To date, sequencing and annotation of microsporidian genomes have revealed a poor gene complement with highly reduced gene sizes. In the present paper, we investigated whether such gene sizes may have induced biases for the methodologies used for genome annotation, with an emphasis on small coding sequence (CDS) gene prediction. Using better delineated intergenic regions from four Encephalitozoon genomes, we predicted de novo new small CDSs with sizes ranging from 78 to 255 bp (median 168) and corroborated these predictions by RACE-PCR experiments in Encephalitozoon cuniculi. Most of the newly found genes are present in other distantly related microsporidian species, suggesting their biological relevance. The present study provides a better framework for annotating microsporidian genomes and to train and evaluate new computational methods dedicated at detecting ultra-small genes in various organisms.
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spelling pubmed-45893122015-10-02 The Prediction and Validation of Small CDSs Expand the Gene Repertoire of the Smallest Known Eukaryotic Genomes Belkorchia, Abdel Gasc, Cyrielle Polonais, Valérie Parisot, Nicolas Gallois, Nicolas Ribière, Céline Lerat, Emmanuelle Gaspin, Christine Pombert, Jean-François Peyret, Pierre Peyretaillade, Eric PLoS One Research Article The proper prediction of the gene catalogue of an organism is essential to obtain a representative snapshot of its overall lifestyle, especially when it is not amenable to culturing. Microsporidia are obligate intracellular, sometimes hard to culture, eukaryotic parasites known to infect members of every animal phylum. To date, sequencing and annotation of microsporidian genomes have revealed a poor gene complement with highly reduced gene sizes. In the present paper, we investigated whether such gene sizes may have induced biases for the methodologies used for genome annotation, with an emphasis on small coding sequence (CDS) gene prediction. Using better delineated intergenic regions from four Encephalitozoon genomes, we predicted de novo new small CDSs with sizes ranging from 78 to 255 bp (median 168) and corroborated these predictions by RACE-PCR experiments in Encephalitozoon cuniculi. Most of the newly found genes are present in other distantly related microsporidian species, suggesting their biological relevance. The present study provides a better framework for annotating microsporidian genomes and to train and evaluate new computational methods dedicated at detecting ultra-small genes in various organisms. Public Library of Science 2015-09-30 /pmc/articles/PMC4589312/ /pubmed/26421846 http://dx.doi.org/10.1371/journal.pone.0139075 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Belkorchia, Abdel
Gasc, Cyrielle
Polonais, Valérie
Parisot, Nicolas
Gallois, Nicolas
Ribière, Céline
Lerat, Emmanuelle
Gaspin, Christine
Pombert, Jean-François
Peyret, Pierre
Peyretaillade, Eric
The Prediction and Validation of Small CDSs Expand the Gene Repertoire of the Smallest Known Eukaryotic Genomes
title The Prediction and Validation of Small CDSs Expand the Gene Repertoire of the Smallest Known Eukaryotic Genomes
title_full The Prediction and Validation of Small CDSs Expand the Gene Repertoire of the Smallest Known Eukaryotic Genomes
title_fullStr The Prediction and Validation of Small CDSs Expand the Gene Repertoire of the Smallest Known Eukaryotic Genomes
title_full_unstemmed The Prediction and Validation of Small CDSs Expand the Gene Repertoire of the Smallest Known Eukaryotic Genomes
title_short The Prediction and Validation of Small CDSs Expand the Gene Repertoire of the Smallest Known Eukaryotic Genomes
title_sort prediction and validation of small cdss expand the gene repertoire of the smallest known eukaryotic genomes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4589312/
https://www.ncbi.nlm.nih.gov/pubmed/26421846
http://dx.doi.org/10.1371/journal.pone.0139075
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