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SRD: a Staphylococcus regulatory RNA database
An overflow of regulatory RNAs (sRNAs) was identified in a wide range of bacteria. We designed and implemented a new resource for the hundreds of sRNAs identified in Staphylococci, with primary focus on the human pathogen Staphylococcus aureus. The “Staphylococcal Regulatory RNA Database” (SRD, http...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4408781/ https://www.ncbi.nlm.nih.gov/pubmed/25805861 http://dx.doi.org/10.1261/rna.049346.114 |
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author | Sassi, Mohamed Augagneur, Yoann Mauro, Tony Ivain, Lorraine Chabelskaya, Svetlana Hallier, Marc Sallou, Olivier Felden, Brice |
author_facet | Sassi, Mohamed Augagneur, Yoann Mauro, Tony Ivain, Lorraine Chabelskaya, Svetlana Hallier, Marc Sallou, Olivier Felden, Brice |
author_sort | Sassi, Mohamed |
collection | PubMed |
description | An overflow of regulatory RNAs (sRNAs) was identified in a wide range of bacteria. We designed and implemented a new resource for the hundreds of sRNAs identified in Staphylococci, with primary focus on the human pathogen Staphylococcus aureus. The “Staphylococcal Regulatory RNA Database” (SRD, http://srd.genouest.org/) compiled all published data in a single interface including genetic locations, sequences and other features. SRD proposes novel and simplified identifiers for Staphylococcal regulatory RNAs (srn) based on the sRNA's genetic location in S. aureus strain N315 which served as a reference. From a set of 894 sequences and after an in-depth cleaning, SRD provides a list of 575 srn exempt of redundant sequences. For each sRNA, their experimental support(s) is provided, allowing the user to individually assess their validity and significance. RNA-seq analysis performed on strains N315, NCTC8325, and Newman allowed us to provide further details, upgrade the initial annotation, and identified 159 RNA-seq independent transcribed sRNAs. The lists of 575 and 159 sRNAs sequences were used to predict the number and location of srns in 18 S. aureus strains and 10 other Staphylococci. A comparison of the srn contents within 32 Staphylococcal genomes revealed a poor conservation between species. In addition, sRNA structure predictions obtained with MFold are accessible. A BLAST server and the intaRNA program, which is dedicated to target prediction, were implemented. SRD is the first sRNA database centered on a genus; it is a user-friendly and scalable device with the possibility to submit new sequences that should spread in the literature. |
format | Online Article Text |
id | pubmed-4408781 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-44087812016-05-01 SRD: a Staphylococcus regulatory RNA database Sassi, Mohamed Augagneur, Yoann Mauro, Tony Ivain, Lorraine Chabelskaya, Svetlana Hallier, Marc Sallou, Olivier Felden, Brice RNA Articles An overflow of regulatory RNAs (sRNAs) was identified in a wide range of bacteria. We designed and implemented a new resource for the hundreds of sRNAs identified in Staphylococci, with primary focus on the human pathogen Staphylococcus aureus. The “Staphylococcal Regulatory RNA Database” (SRD, http://srd.genouest.org/) compiled all published data in a single interface including genetic locations, sequences and other features. SRD proposes novel and simplified identifiers for Staphylococcal regulatory RNAs (srn) based on the sRNA's genetic location in S. aureus strain N315 which served as a reference. From a set of 894 sequences and after an in-depth cleaning, SRD provides a list of 575 srn exempt of redundant sequences. For each sRNA, their experimental support(s) is provided, allowing the user to individually assess their validity and significance. RNA-seq analysis performed on strains N315, NCTC8325, and Newman allowed us to provide further details, upgrade the initial annotation, and identified 159 RNA-seq independent transcribed sRNAs. The lists of 575 and 159 sRNAs sequences were used to predict the number and location of srns in 18 S. aureus strains and 10 other Staphylococci. A comparison of the srn contents within 32 Staphylococcal genomes revealed a poor conservation between species. In addition, sRNA structure predictions obtained with MFold are accessible. A BLAST server and the intaRNA program, which is dedicated to target prediction, were implemented. SRD is the first sRNA database centered on a genus; it is a user-friendly and scalable device with the possibility to submit new sequences that should spread in the literature. Cold Spring Harbor Laboratory Press 2015-05 /pmc/articles/PMC4408781/ /pubmed/25805861 http://dx.doi.org/10.1261/rna.049346.114 Text en © 2015 Sassi et al.; Published by Cold Spring Harbor Laboratory Press for the RNA Society http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed exclusively by the RNA Society for the first 12 months after the full-issue publication date (see http://rnajournal.cshlp.org/site/misc/terms.xhtml). After 12 months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Articles Sassi, Mohamed Augagneur, Yoann Mauro, Tony Ivain, Lorraine Chabelskaya, Svetlana Hallier, Marc Sallou, Olivier Felden, Brice SRD: a Staphylococcus regulatory RNA database |
title | SRD: a Staphylococcus regulatory RNA database |
title_full | SRD: a Staphylococcus regulatory RNA database |
title_fullStr | SRD: a Staphylococcus regulatory RNA database |
title_full_unstemmed | SRD: a Staphylococcus regulatory RNA database |
title_short | SRD: a Staphylococcus regulatory RNA database |
title_sort | srd: a staphylococcus regulatory rna database |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4408781/ https://www.ncbi.nlm.nih.gov/pubmed/25805861 http://dx.doi.org/10.1261/rna.049346.114 |
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