Comprehensive discovery of novel structured noncoding RNAs in 26 bacterial genomes
Autor: | Etienne B Greenlee, Gayan Mirihana Arachchilage, Xi Chen, Nicholas King, Diane Yu, Kenneth I Brewer, Neil White, Ronald R. Breaker, Gadareth Higgs |
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Rok vydání: | 2021 |
Předmět: |
Riboswitch
Comparative sequence analysis RNA Untranslated Sequence analysis riboswitch Bacterial genome size Computational biology regulatory RNA Biology Regulatory rna 03 medical and health sciences 0302 clinical medicine NAD+ Nucleotide Motifs Base Pairing Molecular Biology 030304 developmental biology Sequence (medicine) 0303 health sciences Bacteria Base Sequence Computational Biology Cell Biology RNA Bacterial genomic DNA 030220 oncology & carcinogenesis Genome Bacterial Research Article Research Paper uORF |
Zdroj: | RNA Biology article-version (VoR) Version of Record |
ISSN: | 1555-8584 1547-6286 |
DOI: | 10.1080/15476286.2021.1917891 |
Popis: | Comparative sequence analysis methods are highly effective for uncovering novel classes of structured noncoding RNAs (ncRNAs) from bacterial genomic DNA sequence datasets. Previously, we developed a computational pipeline to more comprehensively identify structured ncRNA representatives from individual bacterial genomes. This search process exploits the fact that genomic regions serving as templates for the transcription of structured RNAs tend to be present in longer than average noncoding ‘intergenic regions’ (IGRs) that are enriched in G and C nucleotides compared to the remainder of the genome. In the present study, we apply this computational pipeline to identify structured ncRNA candidates from 26 diverse bacterial species. Numerous novel structured ncRNA motifs were discovered, including several riboswitch candidates, one whose ligand has been identified and others that have yet to be experimentally validated. Our findings support recent predictions that hundreds of novel ribo-switch classes and other ncRNAs remain undiscovered among the limited number of bacterial species whose genomes have been completely sequenced. |
Databáze: | OpenAIRE |
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