Dataset Information

SRNA-dependent control of curli biosynthesis in Escherichia coli: McaS directs endonucleolytic cleavage of csgD mRNA.

ABSTRACT: Production of curli, extracellular protein structures important for Escherichia coli biofilm formation, is governed by a highly complex regulatory mechanism that integrates multiple environmental signals through the involvement of numerous proteins and small non-coding RNAs (sRNAs). No less than seven sRNAs (McaS, RprA, GcvB, RydC, RybB, OmrA and OmrB) are known to repress the expression of the curli activator CsgD. Many of the sRNAs repress CsgD production by binding to the csgD mRNA at sites far upstream of the ribosomal binding site. The precise mechanism behind sRNA-mediated regulation of CsgD synthesis is largely unknown. In this study, we identify a conserved A/U-rich region in the csgD mRNA 5' untranslated region, which is cleaved upon binding of the small RNAs, McaS, RprA or GcvB, to sites located more than 30 nucleotides downstream. Mutational analysis shows that the A/U-rich region as well as an adjacent stem-loop structure are required for McaS-stimulated degradation, also serving as a binding platform for the RNA chaperone Hfq. Prevention of McaS-activated cleavage completely relieves repression, suggesting that endoribonucleolytic cleavage of csgD mRNA is the primary regulatory effect exerted by McaS. Moreover, we find that McaS-mediated degradation of the csgD 5' untranslated region requires RNase E.

SUBMITTER: Andreassen PR

PROVIDER: S-EPMC6061853 | biostudies-other | 2018 Jul

REPOSITORIES: biostudies-other

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sRNA-dependent control of curli biosynthesis in Escherichia coli: McaS directs endonucleolytic cleavage of csgD mRNA.

Andreassen Patrick Rosendahl PR Pettersen Jens Sivkær JS Szczerba Mateusz M Valentin-Hansen Poul P Møller-Jensen Jakob J Jørgensen Mikkel Girke MG

Nucleic acids research 20180701 13

Production of curli, extracellular protein structures important for Escherichia coli biofilm formation, is governed by a highly complex regulatory mechanism that integrates multiple environmental signals through the involvement of numerous proteins and small non-coding RNAs (sRNAs). No less than seven sRNAs (McaS, RprA, GcvB, RydC, RybB, OmrA and OmrB) are known to repress the expression of the curli activator CsgD. Many of the sRNAs repress CsgD production by binding to the csgD mRNA at sites f ...[more]

PMID: 29905843

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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

SRNA-dependent control of curli biosynthesis in Escherichia coli: McaS directs endonucleolytic cleavage of csgD mRNA.

Publications

sRNA-dependent control of curli biosynthesis in Escherichia coli: McaS directs endonucleolytic cleavage of csgD mRNA.

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