Comparative genomics provides structural and functional insights into Bacteroides RNA biology.
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Authors
Prezza, GianlucaRyan, Daniel
Mädler, Gohar
Reichardt, Sarah
Barquist, Lars
Westermann, Alexander J
Issue Date
2021-08-28
Metadata
Show full item recordAbstract
Bacteria employ noncoding RNA molecules for a wide range of biological processes, including scaffolding large molecular complexes, catalyzing chemical reactions, defending against phages, and controlling gene expression. Secondary structures, binding partners, and molecular mechanisms have been determined for numerous small noncoding RNAs (sRNAs) in model aerobic bacteria. However, technical hurdles have largely prevented analogous analyses in the anaerobic gut microbiota. While experimental techniques are being developed to investigate the sRNAs of gut commensals, computational tools and comparative genomics can provide immediate functional insight. Here, using Bacteroides thetaiotaomicron as a representative microbiota member, we illustrate how comparative genomics improves our understanding of RNA biology in an understudied gut bacterium. We investigate putative RNA-binding proteins and predict a Bacteroides cold-shock protein homolog to have an RNA-related function. We apply an in silico protocol incorporating both sequence and structural analysis to determine the consensus structures and conservation of nine Bacteroides noncoding RNA families. Using structure probing, we validate and refine these predictions and deposit them in the Rfam database. Through synteny analyses, we illustrate how genomic coconservation can serve as a predictor of sRNA function. Altogether, this work showcases the power of RNA informatics for investigating the RNA biology of anaerobic microbiota members.Citation
Mol Microbiol. 2022 Jan;117(1):67-85. doi: 10.1111/mmi.14793. Epub 2021 Aug 28.Affiliation
HIRI, Helmholtz-Institut für RNA-basierte Infektionsforschung, Josef-Shneider Strasse 2, 97080 Würzburg, Germany.Publisher
Wiley & Sons Ltd.Journal
Molecular microbiologyPubMed ID
34379855Type
ArticleLanguage
enEISSN
1365-2958ae974a485f413a2113503eed53cd6c53
10.1111/mmi.14793
Scopus Count
The following license files are associated with this item:
- Creative Commons
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