RNA regulators are often found in complex regulatory networks and may mediate metabolism and virulence in bacteria. Small RNAs (sRNA's), a class of non-coding RNAs that interact with an mRNA transcript via base pairing, modulate translation initiation and mRNA degradation. To better understand the role of sRNAs in pathogenicity several studies identified sRNAs in , however little functional characterization has followed. The goal of this study is threefold: 1) take an inventory of putative sRNAs in ; 2) assess the conservation of these sRNAs; and 3) examine their predicted targets. Three previous studies in identified 287 putative sRNAs by high-throughput sequencing using a variety of distinct inclusion criteria. This study narrows the candidates to a list of 59 putative sRNAs. BLAST analysis shows that each of the 59 sequences are highly conserved across the pangenome while only 5 sRNAs have corresponding sequences with substantial similarity in other members of the Streptococcus genus. We used four RNA-RNA interaction prediction programs (IntaRNA, CopraRNA, sRNARFTarget, and TargetRNA3) to predict targets for each of the 59 putative sRNAs. Across all probable predictions, only seven sRNAs have overlap in the targets predicted by multiple programs, four of which target numerous transposases. Moreover, sRNAs targeting transposases do so with nearly identical and perfect base pairing. One sRNA, named M63 (Spd_sr37), has several probable targets in the CcpA regulon, a network responsible for global catabolite repression, suggesting a possible biological function in control of carbon metabolism. Further, each M63-target interaction exhibits unique base pairing increasing confidence in the biological relevance of the result. This study produces a curated list of S putative sRNAs whose predicted targets suggest functional significance in transposon and carbon metabolism regulation.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11601373PMC
http://dx.doi.org/10.1101/2024.11.14.623631DOI Listing

Publication Analysis

Top Keywords

putative srnas
24
srnas
12
base pairing
12
targets putative
8
studies identified
8
predicted targets
8
list putative
8
carbon metabolism
8
targets
6
putative
6

Similar Publications

RNA regulators are often found in complex regulatory networks and may mediate metabolism and virulence in bacteria. Small RNAs (sRNA's), a class of non-coding RNAs that interact with an mRNA transcript via base pairing, modulate translation initiation and mRNA degradation. To better understand the role of sRNAs in pathogenicity several studies identified sRNAs in , however little functional characterization has followed.

View Article and Find Full Text PDF

Highly fragmented ribosomal RNA-coding sequences are characteristic of mitogenomes of protozoan parasites of the phylum Apicomplexa. Identification of ribosomal RNA encoding sequences in apicomplexan mitogenomes has largely relied on sequence similarity with several apicomplexan species for which expression of these genes has been demonstrated. The present study applied Next-Gen sequencing to investigate the expression of fragmented putative mitochondrial rRNAs inEimeria tenella, a coccidian parasite of poultry.

View Article and Find Full Text PDF

Cross-kingdom RNA interference (ckRNAi) is a mechanism of interspecies communication where small RNAs (sRNAs) are transported from one organism to another; these sRNAs silence target genes in trans by loading into host AGO proteins. In this work, we investigated the occurrence of ckRNAi in Arbuscular Mycorrhizal Symbiosis (AMS). We used an in silico prediction analysis to identify a sRNA (Rir2216) from the AM fungus Rhizophagus irregularis and its putative plant gene target, the Medicago truncatula MtWRKY69 transcription factor.

View Article and Find Full Text PDF

Small RNAS (sRNAs) participate in regulatory RNA interference (RNAi) mechanisms in a wide range of eukaryotic organisms, including fungi. The fungus , a model for the study of secondary metabolism, contains a complete set of genes for RNAi pathways. We have analyzed by high-throughput sequencing the content of sRNAs in total RNA samples of grown in synthetic medium in the dark or after 1 h of illumination, using libraries below 150 nt, covering sRNAs and their precursors.

View Article and Find Full Text PDF

Plasticity in gene expression allows bacteria to adapt to diverse environments. This is particularly relevant in the dynamic niche of the human intestinal tract; however, transcriptional networks remain largely unknown for gut-resident bacteria. Here we apply differential RNA sequencing (RNA-seq) and conventional RNA-seq to the model gut bacterium Bacteroides thetaiotaomicron to map transcriptional units and profile their expression levels across 15 in vivo-relevant growth conditions.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!