Raad, Nicole; Tandon, Disha; Hapfelmeier, Siegfried; Polacek, Norbert (2022). The stationary phase-specific sRNA FimR2 is a multifunctional regulator of bacterial motility, biofilm formation and virulence. Nucleic acids research, 50(20), pp. 11858-11875. Oxford University Press 10.1093/nar/gkac1025
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Bacterial pathogens employ a plethora of virulence factors for host invasion, and their use is tightly regulated to maximize infection efficiency and manage resources in a nutrient-limited environment. Here we show that during Escherichia coli stationary phase the 3' UTR-derived small non-coding RNA FimR2 regulates fimbrial and flagellar biosynthesis at the post-transcriptional level, leading to biofilm formation as the dominant mode of survival under conditions of nutrient depletion. FimR2 interacts with the translational regulator CsrA, antagonizing its functions and firmly tightening control over motility and biofilm formation. Generated through RNase E cleavage, FimR2 regulates stationary phase biology by fine-tuning target mRNA levels independently of the chaperones Hfq and ProQ. The Salmonella enterica orthologue of FimR2 induces effector protein secretion by the type III secretion system and stimulates infection, thus linking the sRNA to virulence. This work reveals the importance of bacterial sRNAs in modulating various aspects of bacterial physiology including stationary phase and virulence.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
04 Faculty of Medicine > Service Sector > Institute for Infectious Diseases > Research 04 Faculty of Medicine > Service Sector > Institute for Infectious Diseases 08 Faculty of Science > Department of Chemistry, Biochemistry and Pharmaceutical Sciences (DCBP) |
Graduate School: |
Graduate School for Cellular and Biomedical Sciences (GCB) |
UniBE Contributor: |
Raad, Nicole, Tandon, Disha, Hapfelmeier, Siegfried Hektor, Polacek, Norbert |
Subjects: |
500 Science > 570 Life sciences; biology 600 Technology > 610 Medicine & health 500 Science > 540 Chemistry 000 Computer science, knowledge & systems |
ISSN: |
0305-1048 |
Publisher: |
Oxford University Press |
Language: |
English |
Submitter: |
Christina Schüpbach |
Date Deposited: |
11 Nov 2022 11:57 |
Last Modified: |
15 Mar 2023 17:00 |
Publisher DOI: |
10.1093/nar/gkac1025 |
PubMed ID: |
36354005 |
BORIS DOI: |
10.48350/174673 |
URI: |
https://boris.unibe.ch/id/eprint/174673 |