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Updated: Mar 5, 2026

MS2-Affinity Purification Coupled with RNA Sequencing in Gram-Positive Bacteria
Published on: February 23, 2021
Computational prediction of functional abortive RNA in E. coli
Jeremy I Marcus1, Soha Hassoun2, Nikhil U Nair3
1Department of Computer Science, Tufts University, Medford, MA 02155, United States.
Abstract:
Failure by RNA polymerase to break contacts with promoter DNA results in release of bound RNA and re-initiation of transcription. These abortive RNAs were assumed to be non-functional but have recently been shown to affect termination in bacteriophage T7. Little is known about the functional role of these RNA in other genetic models. Using a computational approach, we investigated whether abortive RNA could exert function in E. coli. Fragments generated from 3780 transcription units were used as query sequences within their respective transcription units to search for possible binding sites. Sites that fell within known regulatory features were then ranked based upon the free energy of hybridization to the abortive. We further hypothesize about mechanisms of regulatory action for a select number of likely matches. Future experimental validation of these putative abortive-mRNA pairs may confirm our findings and promote exploration of functional abortive RNAs (faRNAs) in natural and synthetic systems.
Insights
Abortive RNAs, once thought non-functional, may regulate gene expression in E. coli. This study computationally identified potential regulatory roles for these functional abortive RNAs (faRNAs).
Area of Science:
- Molecular Biology
- Genetics
- Bioinformatics
Background:
- Abortive RNAs are short RNA fragments released during transcription initiation.
- Previously considered non-functional, recent studies suggest roles in bacteriophage T7 termination.
- The functional significance of abortive RNAs in other organisms, like E. coli, remains largely unexplored.
Purpose of the Study:
- To investigate the potential regulatory functions of abortive RNAs in E. coli using a computational approach.
- To identify potential binding sites for abortive RNAs within E. coli transcription units.
- To hypothesize mechanisms by which these functional abortive RNAs (faRNAs) might regulate gene expression.
Main Methods:
- Generated RNA fragments from 3780 E. coli transcription units.
- Used these fragments as queries to search for complementary binding sites within their respective transcription units.
- Ranked potential binding sites based on the free energy of hybridization to the abortive RNA fragments.
Main Results:
- Identified potential binding sites for abortive RNAs within E. coli regulatory regions.
- A subset of these sites showed favorable binding energies, suggesting functional relevance.
- Hypothesized specific regulatory mechanisms for several high-confidence abortive-mRNA interactions.
Conclusions:
- Abortive RNAs may possess regulatory functions in E. coli, acting as functional abortive RNAs (faRNAs).
- Computational analysis provides a basis for experimental validation of these predicted interactions.
- Further research could uncover novel regulatory mechanisms involving faRNAs in both natural and synthetic biological systems.
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