Assay of Escherichia coli RNA polymerase: sigma-core interactions

Transcriptomic analysis reveal differential gene expressions of Escherichia coli O157:H7 under ultrasonic stress

In order to uncover the molecular regulatory mechanisms underlying the phenotypes, the overall regulation of genes at the transcription level in Escherichia coli O157:H7 after ultrasonic stimulation were investigated by RNA-sequencing and real-time quantitative polymerase chain reaction. The results revealed that differential expressions of 1217 genes were significant when exposed at 6.67 W/mL power ultrasonic density for 25 min, including 621 up-regulated and 596 down-regulated genes. Gene transcription related to a series of crucial biomolecular processes were influenced by the ultrasonic stimulation, including carbohydrate metabolism, energy metabolism, membrane transport, signal transduction, transcription and translation. The most enriched pathways were further analyzed in each category. Specifically, genes encoded citrate cycle were down-regulated in E. coli O157:H7, indicating the capacity to decompose carbohydrate and produce energy were decreased under ultrasonic stress. Accompanied with energy loss, the membrane function was affected by the ultrasonic stimulation since the majority of genes encoded ATP-binding cassette transporters were down-regulated. Besides, the autoinducer 2-mediated signal transduction was also inhibited. The interesting thing, however, the protein translation processing was benefited under ultrasonic field. This phenomenon might due to the desperate need of stress response proteins when the bacteria were under stress. We believed that the sonomechanical and sonochemical effects generated by acoustic cavitation were responsible for those gene expression changes.

Construction of a High-Expression System in Bacillus through Transcriptomic Profiling and Promoter Engineering

Bacillus subtilis is an ideal host for secretion and expression of foreign proteins. The promoter is one of the most important elements to facilitate the high-level production of recombinant protein. To expand the repertoire of strong promoters for biotechnological applications in Bacillus species, 14 highly transcribed genes based on transcriptome profiling of B. pumilus BA06 were selected and evaluated for their promoter strength in B. subtilis. Consequently, a strong promoter P₂₀₆₉ was obtained, which could drive the genes encoding alkaline protease (aprE) and green fluorescent protein (GFP) to express more efficiency by an increase of 3.65-fold and 18.40-fold in comparison with the control promoter (P_aprE), respectively. Further, promoter engineering was applied to P₂₀₆₉, leading to a mutation promoter (P_2069M) that could increase GFP expression by 3.67-fold over the wild-type promoter (P₂₀₆₉). Moreover, the IPTG-inducible expression systems were constructed using the lac operon based on the strong promoters of P₂₀₆₉ and P_2069M, which could work well both in B. subtilis and B. pumilus. In this study, highly efficient expression system for Bacillus was constructed based on transcriptome data and promoter engineering, which provide not only a new option for recombinant expression in B. subtilis, but also novel genetic tool for B. pumilus.

Novel DNA Binding and Regulatory Activities for σ54 (RpoN) in Salmonella enterica Serovar Typhimurium 14028s

The variable sigma (σ) subunit of the bacterial RNA polymerase (RNAP) holoenzyme, which is responsible for promoter specificity and open complex formation, plays a strategic role in the response to environmental changes. Salmonella enterica serovar Typhimurium utilizes the housekeeping σ⁷⁰ and five alternative sigma factors, including σ⁵⁴ The σ⁵⁴-RNAP differs from other σ-RNAP holoenzymes in that it forms a stable closed complex with the promoter and requires ATP hydrolysis by an activated cognate bacterial enhancer binding protein (bEBP) to transition to an open complex and initiate transcription. In S. Typhimurium, σ⁵⁴-dependent promoters normally respond to one of 13 different bEBPs, each of which is activated under a specific growth condition. Here, we utilized a constitutively active, promiscuous bEBP to perform a genome-wide identification of σ⁵⁴-RNAP DNA binding sites and the transcriptome of the σ⁵⁴ regulon of S. Typhimurium. The position and context of many of the identified σ⁵⁴ RNAP DNA binding sites suggest regulatory roles for σ⁵⁴-RNAP that connect the σ⁵⁴ regulon to regulons of other σ factors to provide a dynamic response to rapidly changing environmental conditions.IMPORTANCE The alternative sigma factor σ⁵⁴ (RpoN) is required for expression of genes involved in processes with significance in agriculture, bioenergy production, bioremediation, and host-microbe interactions. The characterization of the σ⁵⁴ regulon of the versatile pathogen S. Typhimurium has expanded our understanding of the scope of the σ⁵⁴ regulon and how it links to other σ regulons within the complex regulatory network for gene expression in bacteria.

Promoter and Terminator Discovery and Engineering

Control of gene expression is crucial to optimize metabolic pathways and synthetic gene networks. Promoters and terminators are stretches of DNA upstream and downstream (respectively) of genes that control both the rate at which the gene is transcribed and the rate at which mRNA is degraded. As a result, both of these elements control net protein expression from a synthetic construct. Thus, it is highly important to discover and engineer promoters and terminators with desired characteristics. This chapter highlights various approaches taken to catalogue these important synthetic elements. Specifically, early strategies have focused largely on semi-rational techniques such as saturation mutagenesis to diversify native promoters and terminators. Next, in an effort to reduce the length of the synthetic biology design cycle, efforts in the field have turned towards the rational design of synthetic promoters and terminators. In this vein, we cover recently developed methods such as hybrid engineering, high throughput characterization, and thermodynamic modeling which allow finer control in the rational design of novel promoters and terminators. Emphasis is placed on the methodologies used and this chapter showcases the utility of these methods across multiple host organisms.

Spatial organization of transcription in bacterial cells

Prokaryotic transcription has been extensively studied over the past half a century. However, there often exists a gap between the structural, mechanistic description of transcription obtained from in vitro biochemical studies, and the cellular, phenomenological observations from in vivo genetic studies. It is now accepted that a living bacterial cell is a complex entity; the heterogeneous cellular environment is drastically different from the homogenous, well-mixed situation in vitro. Where molecules are inside a cell may be important for their function; hence, the spatial organization of different molecular components may provide a new means of transcription regulation in vivo, possibly bridging this gap. In this review, we survey current evidence for the spatial organization of four major components of transcription [genes, transcription factors, RNA polymerase (RNAP) and RNAs] and critically analyze their biological significance.

Selective translation during stress in Escherichia coli

The bacterial stress response, a strategy to cope with environmental changes, is generally known to operate on the transcriptional level. Here, we discuss a novel paradigm for stress adaptation at the post-transcriptional level, based on the recent discovery of a stress-induced modified form of the translation machinery in Escherichia coli that is generated by MazF, the toxin component of the toxin-antitoxin (TA) module mazEF. Under stress, the induced endoribonuclease MazF removes the 3'-terminal 43 nucleotides of the 16S rRNA of ribosomes and, concomitantly, the 5'-untranslated regions (UTRs) of specific transcripts. This elegant mechanism enables selective translation due to the complementary effect of MazF on ribosomes and mRNAs, and also represents the first example of functional ribosome heterogeneity based on rRNA alteration.

Transcription activation by the siderophore sensor Btr is mediated by ligand-dependent stimulation of promoter clearance

Bacterial transcription factors often function as DNA-binding proteins that selectively activate or repress promoters, although the biochemical mechanisms vary. In most well-understood examples, activators function by either increasing the affinity of RNA polymerase (RNAP) for the target promoter, or by increasing the isomerization of the initial closed complex to the open complex. We report that Bacillus subtilis Btr, a member of the AraC family of activators, functions principally as a ligand-dependent activator of promoter clearance. In the presence of its co-activator, the siderophore bacillibactin (BB), the Btr:BB complex enhances productive transcription, while having only modest effects on either RNAP promoter association or the production of abortive transcripts. Btr binds to two direct repeat sequences adjacent to the −35 region; recognition of the downstream motif is most important for establishing a productive interaction between the Btr:BB complex and RNAP. The resulting Btr:BB dependent increase in transcription enables the production of the ferric-BB importer to be activated by the presence of its cognate substrate.

Identification of a novel anti-sigmaE factor in Neisseria meningitidis

Background

Fine tuning expression of genes is a prerequisite for the strictly human pathogen Neisseria meningitidis to survive hostile growth conditions and establish disease. Many bacterial species respond to stress by using alternative σ factors which, in complex with RNA polymerase holoenzyme, recognize specific promoter determinants. σ^E, encoded by rpoE (NMB2144) in meningococci, is known to be essential in mounting responses to environmental challenges in many pathogens. Here we identified genes belonging to the σ^E regulon of meningococci.

Results

We show that meningococcal σ^E is part of the polycistronic operon NMB2140-NMB2145 and autoregulated. In addition we demonstrate that σ^E controls expression of methionine sulfoxide reductase (MsrA/MsrB). Moreover, we provide evidence that the activity of σ^E is under control of NMB2145, directly downstream of rpoE. The protein encoded by NMB2145 is structurally related to anti-sigma domain (ASD) proteins and characterized by a zinc containing anti-σ factor (ZAS) motif, a hall mark of a specific class of Zn^2+-binding ASD proteins acting as anti-σ factors. We demonstrate that Cys residues in ZAS, as well as the Cys residue on position 4, are essential for anti-σ^E activity of NMB2145, as found for a minority of members of the ZAS family that are predicted to act in the cytoplasm and responding to oxidative stimuli. However, exposure of cells to oxidative stimuli did not result in altered expression of σ^E.

Conclusions

Together, our results demonstrate that meningococci express a functional transcriptionally autoregulated σ^E factor, the activity of which is controlled by a novel meningococcal anti-σ factor belonging to the ZAS family.

Insights into transcriptional regulation and sigma competition from an equilibrium model of RNA polymerase binding to DNA

To explore scenarios that permit transcription regulation by activator recruitment of RNA polymerase and sigma competition in vivo, we used an equilibrium model of RNA polymerase binding to DNA constrained by the values of total RNA polymerase (E) and sigma(70) per cell measured in this work. Our numbers of E and sigma(70) per cell, which are consistent with most of the primary data in the literature, suggest that in vivo (i) only a minor fraction of RNA polymerase (<20%) is involved in elongation and (ii) sigma(70) is in excess of total E. Modeling the partitioning of RNA polymerase between promoters, nonspecific DNA binding sites, and the cytoplasm suggested that even weak promoters will be saturated with Esigma(70) in vivo unless nonspecific DNA binding by Esigma(70) is rather significant. In addition, the model predicted that sigmas compete for binding to E only when their total number exceeds the total amount of RNA polymerase (excluding that involved in elongation) and that weak promoters will be preferentially subjected to sigma competition.