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SRD: a Staphylococcus regulatory RNA database.

Mohamed Sassi 1, * yoann Augagneur 1, * Tony Mauro 1, * Lorraine Ivain 1, * Svetlana Chabelskaya 1, * Marc Hallier 1, * Olivier Sallou 2, * Brice Felden 1, * 
* Corresponding author
2 Plateforme bioinformatique GenOuest [Rennes]
UR1 - Université de Rennes 1, Plateforme Génomique Santé Biogenouest®, Inria Rennes – Bretagne Atlantique , IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
Abstract : 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, 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.
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Submitted on : Friday, March 27, 2015 - 2:20:23 PM
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Mohamed Sassi, yoann Augagneur, Tony Mauro, Lorraine Ivain, Svetlana Chabelskaya, et al.. SRD: a Staphylococcus regulatory RNA database.. RNA, Cold Spring Harbor Laboratory Press, 2015, RNA, 21 (5), pp.1005-1017. ⟨10.1261/rna.049346.114⟩. ⟨inserm-01136506⟩



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