Dataset Information

Mechanism for coordinate regulation of rpoS by sRNA-sRNA interaction in Escherichia coli.

ABSTRACT: RpoS is a key regulator of general stress responses in Escherichia coli. Its expression is post-transcriptionally up-regulated by the small RNAs (sRNAs), ArcZ, DsrA and RprA, through sRNA-rpoS mRNA interactions. Although overexpression of the sRNA, CyaR, was reported to down-regulate rpoS expression, how CyaR regulates rpoS has not been determined. Here, we report that CyaR represses rpoS expression by base-pairing with a region next to the ArcZ binding site in the 5' UTR of rpoS mRNA and that CyaR expression itself is down-regulated by ArcZ through sRNA-sRNA interaction. The short form of ArcZ, but not the full-length form, can base-pair with CyaR. This ArcZ-CyaR interaction triggers degradation of CyaR by RNase E, alleviating the CyaR-mediated rpoS repression. These results suggest that ArcZ not only participates in rpoS translation as an activator, but also acts as a regulator of the reciprocally acting CyaR, maximizing its rpoS-activating effect.

SUBMITTER: Kim W

PROVIDER: S-EPMC6973317 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Mechanism for coordinate regulation of rpoS by sRNA-sRNA interaction in Escherichia coli.

Kim Wonkyong W Lee Younghoon Y

RNA biology 20190929 2

RpoS is a key regulator of general stress responses in Escherichia coli. Its expression is post-transcriptionally up-regulated by the small RNAs (sRNAs), ArcZ, DsrA and RprA, through sRNA-rpoS mRNA interactions. Although overexpression of the sRNA, CyaR, was reported to down-regulate rpoS expression, how CyaR regulates rpoS has not been determined. Here, we report that CyaR represses rpoS expression by base-pairing with a region next to the ArcZ binding site in ...[more]

PMID: 31552789

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Project description:BACKGROUND: sRNAs, which belong to the non-coding RNA family and range from approximately 50 to 400 nucleotides, serve various important gene regulatory roles. Most are believed to be trans-regulating and function by being complementary to their target mRNAs in order to inhibiting translation by ribosome occlusion. Despite this understanding of their functionality, the global properties associated with regulation by sRNAs are not yet understood. Here we use topological analysis of sRNA targets in terms of protein-protein interaction and transcription-regulatory networks in Escherichia coli to shed light on the global correlation between sRNA regulation and cellular control networks. RESULTS: The analysis of sRNA targets in terms of their networks showed that some specific network properties could be identified. In protein-protein interaction network, sRNA targets tend to occupy more central positions (higher closeness centrality, p-val = 0.022) and more cliquish (larger clustering coefficient, p-val = 0.037). The targets of the same sRNA tend to form a network module (shorter characteristic path length, p-val = 0.015; larger density, p-val = 0.019; higher in-degree ratio, p-val = 0.009). Using the transcription-regulatory network, sRNA targets tend to be under multiple regulation (higher indegree, p-val = 0.013) and the targets usually are important to the transfer of regulatory signals (higher betweenness, p-val = 0.012). As was found for the protein-protein interaction network, the targets that are regulated by the same sRNA also tend to be closely knit within the transcription-regulatory network (larger density, p-val = 0.036), and inward interactions between them are greater than the outward interactions (higher in-degree ratio, p-val = 0.023). However, after incorporating information on predicted sRNAs and down-stream targets, the results are not as clear-cut, but the overall network modularity is still evident. CONCLUSIONS: Our results indicate that sRNA targeting tends to show a clustering pattern that is similar to the human microRNA regulation associated with protein-protein interaction network that was observed in a previous study. Namely, the sRNA targets show close interaction and forms a closely knit network module for both the protein-protein interaction and the transcription-regulatory networks. Thus, targets of the same sRNA work in a concerted way toward a specific goal. In addition, in the transcription-regulatory network, sRNA targets act as "multiplexor", accepting regulatory control from multiple sources and acting accordingly. Our results indicate that sRNA targeting shows different properties when compared to the proteins that form cellular networks.

Dataset Information

Mechanism for coordinate regulation of rpoS by sRNA-sRNA interaction in Escherichia coli.

Publications

Mechanism for coordinate regulation of <i>rpoS</i> by sRNA-sRNA interaction in <i>Escherichia coli</i>.

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