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Global Annotation, Expression Analysis, and Stability of Candidate sRNAs in Group B Streptococcus
Small, noncoding RNAs (sRNAs) are being increasingly identified as important regulatory molecules in prokaryotes. Due to the prevalence of next-generation sequencing-based techniques, such as RNA sequencing (RNA-seq), there is potential for increased discovery of sRNAs within bacterial genomes; howe...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8561379/ https://www.ncbi.nlm.nih.gov/pubmed/34724819 http://dx.doi.org/10.1128/mBio.02803-21 |
Sumario: | Small, noncoding RNAs (sRNAs) are being increasingly identified as important regulatory molecules in prokaryotes. Due to the prevalence of next-generation sequencing-based techniques, such as RNA sequencing (RNA-seq), there is potential for increased discovery of sRNAs within bacterial genomes; however, these elements are rarely included in annotation files. Consequently, expression values for sRNAs are omitted from most transcriptomic analyses, and mechanistic studies have lagged behind those of protein regulators in numerous bacteria. Two previous studies have identified sRNAs in the human pathogen group B Streptococcus (GBS). Here, we utilize the data from these studies to create updated genome annotation files for the model GBS strains NEM316 and COH1. Using the updated COH1 annotation file, we reanalyze publicly available GBS RNA-seq whole-transcriptome data from GenBank to monitor GBS sRNA expression under a variety of conditions and genetic backgrounds. This analysis generated expression values for 232 putative sRNAs that were overlooked in previous transcriptomic analyses in 21 unique comparisons. To demonstrate the utility of these data, we identify an sRNA that is upregulated during vaginal colonization and demonstrate that overexpression of this sRNA leads to increased bacterial invasion into host epithelial cells. Finally, to monitor RNA degradation, we perform a transcript stability assay to identify highly stable sRNAs and compare stability profiles of sRNA- and protein-coding genes. Collectively, these data provide a wealth of transcriptomic data for putative sRNAs in GBS and a platform for future mechanistic studies. |
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