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Published on: February 23, 2021
sRNAscanner: a computational tool for intergenic small RNA detection in bacterial genomes
Jayavel Sridhar1, Narmada Sambaturu, Suryanarayanan Ramkumar Narmada
1Centre of Excellence in Bioinformatics, School of Biotechnology, Madurai Kamaraj University, Madurai, Tamilnadu, India.
Plos One
|August 12, 2010
Summary
A new computational tool, sRNAscanner, identifies novel bacterial small RNAs (sRNAs) by analyzing transcriptional signals. This method successfully discovered six new sRNA genes in Salmonella Typhimurium, enhancing bacterial gene discovery.
Area of Science:
- Microbiology
- Bioinformatics
- Genomics
Background:
- Bacterial non-coding small RNAs (sRNAs) are crucial for cellular processes like survival and pathogenesis.
- Current computational methods for bacterial sRNA identification have limitations, necessitating improved approaches.
Purpose of the Study:
- To develop and validate a novel computational method for identifying bacterial intergenic small RNA transcriptional units (TUs).
- To assess the performance of the new tool against existing sRNA prediction algorithms.
Main Methods:
- Developed sRNAscanner, a tool using position weight matrices for promoter and terminator signals to identify intergenic sRNA TUs.
- Scanned twelve representative bacterial genomes and compared results with sRNAPredict2.
- Validated computationally predicted sRNAs using deep sequencing data and experimental Northern blot analysis.
Main Results:
- sRNAscanner showed sensitivity comparable to the best existing tool, sRNAPredict2.
- Identified 118 novel putative intergenic sRNA genes in Salmonella Typhimurium LT2.
- Experimentally validated six novel S. Typhimurium sRNA genes, with successful 5'-end mapping.
Conclusions:
- The sRNAscanner algorithm is computationally examined and experimentally validated.
- The tool successfully identified novel bacterial sRNA genes, with potential for discovering many more.
- sRNAscanner offers a valuable resource for bacterial sRNA research and gene discovery.
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