Multiscale regulation of nutrient stress responses in Escherichia coli from chromatin structure to small regulatory RNAs
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ABSTRACT: Recent research has indicated the presence of heterochromatin-like regions of extended protein occupancy and transcriptional silencing of bacterial genomes. We utilized an integrative approach to track chromatin structure and transcription in E. coli K-12 across a wide range of nutrient conditions. In the process, we identified multiple loci which act similarly to facultative heterochromatin in eukaryotes, normally silenced but permitting expression of genes under specific conditions. We also found a strong enrichment of small regulatory RNAs (sRNAs) among the set of differentially expressed transcripts during nutrient stress. Using a newly developed bioinformatic pipeline, the transcription factors regulating sRNA expression were bioinformatically predicted, with experimental follow-up revealing novel relationships for 36 sRNA-transcription factors candidates. Direct regulation of sRNA expression was confirmed by mutational analysis for five sRNAs of metabolic interest: IsrB, CsrB and CsrC, GcvB, and GadY. Our integrative analysis thus reveals additional layers of complexity in the nutrient stress response in E. coli and provides a framework for revealing similar poorly understood regulatory logic in other organisms.
ORGANISM(S): Escherichia coli str. K-12 substr. MG1655
Project description:Small RNAs (sRNAs) are major regulators of gene expression in bacteria. Traditionally, sRNAs were considered mainly as regulators of translation, exerting their regulatory function by base pairing with their target mRNAs, and through this, blocking or exposing the ribosome binding site. However, accumulating evidence suggest that sRNAs not only regulate translation, but also affect the transcript stability by assisting or interfering with endoribonuclesaes. While cooperation of sRNAs with endoribonuclesaes was demonstrated for a few genes, its extent in the bacterial cell was not assessed in large scale. Here, we take advantage of large-scale RNA- seq-based approaches to study the extent of cooperation between sRNAs with the major endoribonuclease in Escherichia coli, RNase E. As a model sRNA, we use the well-known sRNA GcvB, a sRNA that regulates genes involved in amino acid metabolism and transport. To study the cooperation between GcvB and RNase E we apply the mutant cycle approach to four strains of E. coli: wt; GcvB mutant/RNase E wt; GcvB wt/RNase E mutant; GcvB mutant/RNase E mutant. By applying RNA-seq and differential gene expression analysis, we infer different modes of cooperation between RNase E and GcvB, and show that a statistically significant number of GcvB targets are downregulated by cooperation between the two regulators. Furthermore, using the TIER-seq approach to map RNase E cleavage sites transcriptome-wide and analysing them in view of GcvB binding sites, we attempt to infer the mechanisms of cooperation between the two regulators.
Project description:To study the regulatory outcome of Hfq-mediated sRNA-target interactions, we measured the change in gene expression following overexpression of each of five well-established sRNAs: GcvB, MicA, ArcZ, RyhB and CyaR. For each of the studied sRNAs we applied RNA-seq to two E. coli K-12 MG1655 strains: (1) a WT strain or a strain deleted of the sRNA gene; (2) a strain overexpressing the sRNA, either artificially from a plasmid or from the endogenous sRNA gene by changing the growth condition. For GcvB induction, the E. coli K-12 MG1655 Z1 gcvB::Cm, pZA12-gcvB and the E. coli K-12 MG1655 Z1 gcvB::Cm, pTP-011 strains were used. For MicA overexpression the E. coli K-12 MG1655lacIq pBRplac, pEF21-Hfq and the E. coli K-12 MG1655lacIq pMicA, pEF21-Hfq strains were used. For ArcZ induction the E. coli K-12 MG1655 Z1 arcZ::Cm, pZE12-ArcZ and the E. coli K-12 MG1655 Z1 arcZ::Cm, pJV300 strains were used. For RyhB overexpression the E. coli K-12 MG1655 ryhB::Cm and the E. coli K-12 MG1655 were used. For CyaR induction the E. coli K-12 MG1655 Z1 cyaR::Cm, pZE12-CyaR and the E. coli K-12 MG1655 Z1 cyaR::Cm, pJV300 strains were used. All E. coli strains used in this study were grown overnight in Luria Bertani (LB) medium at 37 °C with shaking (200 r.p.m.), diluted 100-fold in fresh LB medium, and re-grown with shaking at 37 °C to exponential phase, for GcvB (OD600 = 0.3) and for RyhB (OD600 = 0.5), or to stationary phase, for ArcZ WT, ArcZ M1, ArcZ M2 and CyaR (OD600 = 1.0) and for MicA (grown for 6 hr). For induction of ArcZ and GcvB, IPTG was added (1mM, 20 min). MicA was constitutively expressed and further induced at the end of growth with IPTG (1mM, 20 min). For induction of RyhB, the iron chelator 2,2'-Dipyridyl was added (200 μM, 30 min).
Project description:Recently, we developed an in vivo technology to draw the interacting map of a specific small regulatory RNA (sRNA). We called it MAPS for MS2-affinity purification coupled with RNA sequencing. Using this technology, we already revealed the targetome of RyhB, RybB and DsrA, three well-characterized sRNAs in Escherichia coli. In this study, we perform MAPS with GcvB, a sRNA involved in amino acid metabolism.
Project description:The control of amino acid synthesis and transport in bacteria has been well-investigated at the transcriptional level. The discovery of a small Hfq-dependent regulatory RNA, GcvB, added another layer of gene expression control at the post-transcriptional level. GcvB RNA has been shown to directly regulate multiple ABC transporters for amino acids in E. coli and Salmonella using a highly conserved G/U-rich domain, R1. To identify additional GcvB targets, we have combined a sRNA pulse-expression and microarray analysis of whole transcriptome changes with biocomputational target searches for C/A- rich target sites in Salmonella. Moreover, we have included GcvB mutant RNAs in our microarray approach providing a new target search approach by inactivating conserved domains or target interaction sites. This dual approach revealed further amino acid transporters and, in addition, genes involved in amino acid metabolism as consensus R1-dependent GcvB targets. Moreover, GcvB RNA seems to bind with at least two binding sites to an R1-independent target, the glycine transporter cycA. Using GFP reporter gene fusions we have now validated 21 GcvB targets which is best to our knowledge with ~1% of all Salmonella protein coding genes, the largest bacterial sRNA-controlled regulon. Intriguingly, GcvB rewires many primary control circuits and, thus, constitutes an important metabolic knot. To predict direct GcvB targets with better confidence, we expanded the sRNA pulse-expression approach to assay effects of several versions of GcvB sRNA. We cloned GcvB wild-type and mutants RNAs deleted for the conserved regions R1 or R2 (Fig. 1A) under control of an arabinose-inducible PBAD promoter, yielding plasmid pBAD-GcvB (pKP1-1), pBAD-GcvB delta R1 (pKP2-6) and pBAD-GcvB delta R2 (pKP30-1). For confirmation of inducible expression, Salmonella wild-type carrying pBAD control vector (pKP8-35), and Salmonella ΔgcvB carrying either control vector (Ctr) or the above GcvB expression plasmids were grown to mid-exponential phase (OD600 of 1) and treated with L-arabinose for up to 15 min. We used whole-genome S. typhimurium microarrays to determine relative mRNA expression changes at 10 min of induction, comparing the mRNA profiles of the pBAD-GcvB, pBAD-GcvB delta R1 or pBAD-GcvB delta R2 strains to that of the delta gcvB deletion mutant strain carrying the control vector. Microarrays used in this study were produced by in-situ synthesis as 8x15k multipack format from Agilent Technologies. Each microarray comprises 13268 60-mer S. typhimurium strain SL1344 specific oligonucleotides supplemented with 319 60-mer S. enterica subsp. serovar Typhimurium 14028S specific oligonucleotides, 360 60-mer S. typhimurium LT2 specific oligonucleotides and 360 60-mer oligonucleotides specific for 149 Salmonella sRNAs. The experimental design involves the use of Salmonella enterica serovar Typhimurium genomic DNA as the co-hybridized control for one channel on all microarrays. Two independent biological eperiments were analyzed.
Project description:In this study, transcriptomic analysis of the P. multocida strain VP161 revealed a putative sRNA with high identity to GcvB from Escherichia coli and Salmonella enterica serovar Typhimurium. High-throughput quantitative liquid proteomics was used to compare the proteomes of the P. multocida VP161 wild-type strain, a gcvB mutant and a GcvB overexpression strain. These analyses identified 47 proteins that displayed significant differential production after inactivation of gcvB, 37 of which showed increased production. Thus, GcvB predominantly acts to negatively regulate protein production in P. multocida. Of the 37 proteins that were repressed by GcvB, 27 were predicted to be involved in amino acid biosynthesis or transport. Bioinformatic analyses of putative P. multocida GcvB target mRNAs identified a strongly conserved 10 nucleotide consensus sequence, 5’‑AACACAACAT-3’, with the central eight nucleotides identical to the seed binding region present within GcvB mRNA targets in E. coli and S. Typhimurium.
Project description:The control of amino acid synthesis and transport in bacteria has been well-investigated at the transcriptional level. The discovery of a small Hfq-dependent regulatory RNA, GcvB, added another layer of gene expression control at the post-transcriptional level. GcvB RNA has been shown to directly regulate multiple ABC transporters for amino acids in E. coli and Salmonella using a highly conserved G/U-rich domain, R1. To identify additional GcvB targets, we have combined a sRNA pulse-expression and microarray analysis of whole transcriptome changes with biocomputational target searches for C/A- rich target sites in Salmonella. Moreover, we have included GcvB mutant RNAs in our microarray approach providing a new target search approach by inactivating conserved domains or target interaction sites. This dual approach revealed further amino acid transporters and, in addition, genes involved in amino acid metabolism as consensus R1-dependent GcvB targets. Moreover, GcvB RNA seems to bind with at least two binding sites to an R1-independent target, the glycine transporter cycA. Using GFP reporter gene fusions we have now validated 21 GcvB targets which is best to our knowledge with ~1% of all Salmonella protein coding genes, the largest bacterial sRNA-controlled regulon. Intriguingly, GcvB rewires many primary control circuits and, thus, constitutes an important metabolic knot.
Project description:We identified twin small non-coding RNAs regulating tricarboxylic acid (TCA) cycle activity in Neisseria meningitidis. Expression of TCA cycle enzymes was elevated in sRNA deletion mutants. Direct interaction between sRNAs and the ribosomal entry sites on target mRNAs was demonstrated. Expression of the sRNAs was down-regulated in cells grown in poor medium with glucose as the sole carbon source but not without lrp, indicating that sRNA expression is controlled by the stringent response. N. meningitidis, over-expressing the sRNAs replicated in blood, but not in human cerebrospinal fluid. In addition, Lrp synthesis was inhibited by direct interaction between the sRNA and the 5’ UTR of lrp. sRNAs control adaptation of N. meningitidis to variation in nutrient supply in different niches of its host.
Project description:By shaping gene expression profiles, small RNAs (sRNAs) enable bacteria to efficiently adapt to changes in their environment. To better understand how Escherichia coli acclimatizes to nutrient availability, we performed UV cross-linking, ligation and sequencing of hybrids (CLASH) to uncover Hfq-associated RNA-RNA interactions at specific growth stages. We demonstrate that Hfq CLASH robustly captures bona fide RNA-RNA interactions identified hundreds of novel sRNA base-pairing interactions, including many sRNA-sRNA interactions and involving 3’UTR-derived sRNAs. We rediscovered known and identified novel sRNA seed sequences. The sRNA-mRNA interactions identified by CLASH have strong base-pairing potential and are highly enriched for complementary sequence motifs, even those supported by only a few reads. Yet, steady state levels of most mRNA targets were not significantly affected upon over-expression of the sRNA regulator. Our results reinforce the idea that the reproducibility of the interaction, not base-pairing potential, is a stronger predictor for a regulatory outcome.
Project description:By shaping gene expression profiles, small RNAs (sRNAs) enable bacteria to efficiently adapt to changes in their environment. To better understand how Escherichia coli acclimatizes to nutrient availability, we performed UV cross-linking, ligation and sequencing of hybrids (CLASH) to uncover Hfq-associated RNA-RNA interactions at specific growth stages. We demonstrate that Hfq CLASH robustly captures bona fide RNA-RNA interactions identified hundreds of novel sRNA base-pairing interactions, including many sRNA-sRNA interactions and involving 3’UTR-derived sRNAs. We rediscovered known and identified novel sRNA seed sequences. The sRNA-mRNA interactions identified by CLASH have strong base-pairing potential and are highly enriched for complementary sequence motifs, even those supported by only a few reads. Yet, steady state levels of most mRNA targets were not significantly affected upon over-expression of the sRNA regulator. Our results reinforce the idea that the reproducibility of the interaction, not base-pairing potential, is a stronger predictor for a regulatory outcome.
Project description:Colonization of the intestinal tract and dissemination into deeper tissues by the enteric pathogen Yersinia pseudotuberculosis demands expression of a special set of virulence factors important for the initiation and the persistence of the infection. In this study we demonstrate that many virulence-associated functions are coregulated with the carbohydrate metabolism. This link is mediated by the carbon storage regulator (Csr) system, including the regulatory RNAs CsrB and CsrC, and the cAMP receptor protein (Crp), which both control virulence gene expression in response to the nutrient composition of the medium. Here, we show that Crp regulates the synthesis of both Csr RNAs in an opposite manner. A loss of the crp gene resulted in a strong upregulation of CsrB synthesis, whereas CsrC levels were strongly reduced leading to downregulation of the virulence regulator RovA. Switching of the Csr RNA involves Crp-mediated repression of the response regulator UvrY which activates csrB transcription. To elucidate the regulatory links between virulence and carbon metabolism, we performed comparative metabolome, transcriptome and phenotypic microarray analyses and found that Crp promotes oxidative catabolism of many different carbon sources, whereas fermentative patterns of metabolism are favoured when crp is deleted. Mouse infection experiments further demonstrated that Crp is pivotal for a successful Y. pseudotuberculosis infection. In summary, placement of the Csr system and important virulence factors under control of Crp enables this pathogen to link its nutritional status to virulence in order to optimize biological fitness and infection efficiency through the infectious life cycle.