RNA Polymerase Molecules Research Articles

RNA polymerase sliding on DNA can couple the transcription of nearby bacterial operons

DNA transcription initiates after an RNA polymerase (RNAP) molecule binds to the promoter of a gene. In bacteria, the canonical picture is that RNAP comes from the cytoplasmic pool of freely diffusing RNAP molecules. Recent experiments suggest the possible existence of a separate pool of polymerases, competent for initiation, which freely slide on the DNA after having terminated one round of transcription. Promoter-dependent transcription reinitiation from this pool of posttermination RNAP may lead to coupled initiation at nearby operons, but it is unclear whether this can occur over the distance and timescales needed for it to function widely on a bacterial genome in vivo. Here, we mathematically model the hypothesized reinitiation mechanism as a diffusion-to-capture process and compute the distances over which significant interoperon coupling can occur and the time required. These quantities depend on molecular association and dissociation rate constants between DNA, RNAP, and the transcription initiation factor σ70; we measure these rate constants using single-molecule experiments in vitro. Our combined theory/experimental results demonstrate that efficient coupling can occur at physiologically relevant σ70 concentrations and on timescales appropriate for transcript synthesis. Coupling is efficient over terminator-promoter distances up to ∼1,000 bp, which includes the majority of terminator-promoter nearest neighbor pairs in the Escherichia coli genome. The results suggest a generalized mechanism that couples the transcription of nearby operons and breaks the paradigm that each binding of RNAP to DNA can produce at most one messenger RNA.

RNAP Promoter Search and Transcription Kinetics in Live E. coli Cells.

Bacterial transcription has been studied extensively in vitro, which has provided detailed molecular mechanisms of transcription. The in vivo cellular environment, however, may impose different rules on transcription than the homogeneous and well-controlled in vitro environment. How an RNA polymerase (RNAP) molecule searches rapidly through vast nonspecific chromosomal DNA in the three-dimensional nucleoid space and identifies a specific promoter sequence remains elusive. Transcription kinetics in vivo could also be impacted by specific cellular environments including nucleoid organization and nutrient availability. In this work, we investigated the promoter search dynamics and transcription kinetics of RNAP in live E. coli cells. Using single-molecule tracking (SMT) and fluorescence recovery after photobleaching (FRAP) across different genetic, drug inhibition, and growth conditions, we observed that RNAP's promoter search is facilitated by nonspecific DNA interactions and is largely independent of nucleoid organization, growth condition, transcription activity, or promoter class. RNAP's transcription kinetics, however, are sensitive to these conditions and mainly modulated at the levels of actively engaged RNAP and the promoter escape rate. Our work establishes a foundation for further mechanistic studies of bacterial transcription in live cells.

Correlative Escherichia coli Transcription Rate and Bubble Conformation Remodeled by NusA and NusG.

Transcription is highly regulated by a variety of transcription factors, among which NusA and NusG act contradictorily in Escherichia coli (E. coli) that NusA stabilizes a paused RNA polymerase (RNAP) and NusG suppresses it. The mechanism of the NusA and NusG regulations on RNAP transcription has been addressed, but their effect on the conformational changes of the transcription bubble correlated with transcription kinetics remains elusive. By using single-molecule magnetic trap, we identify a reduction in the transcription rate of ∼40% events by NusA. Although the rest ∼60% of transcription events exhibit unaffected transcription rates, a NusA-enhanced standard deviation of the transcription rate is observed. NusA remodeling also increases the extent of DNA unwinding in the transcription bubble by 1-2 base pairs, which can be reduced by NusG. The NusG remodeling is more significant on the RNAP molecules with reduced transcription rates rather than those without. Our results provide a quantitative view on the mechanisms of transcriptional regulation by NusA and NusG factors.

Rotation manipulation of single-molecule magnetic trapping and gene transcription regulation dynamics

Gene transcription regulation is a key step for gene expression in all organisms and responsible for the transmission of genetic information and genome integrity. As one of the most important mechanisms in gene transcription, an RNA polymerase (RNAP) specifically interacts with and unwinds genome DNA to form a transcription bubble where a nascent RNA transcript is polymerized, taking one of the unwound DNA strands as its template. The RNAP translocates along the DNA to transcribe the whole gene by carrying the transcription bubble. In such a way, an RNAP completes its biological task of gene expression by physically acting as a molecular machinery. Thus, an RNAP molecule can be considered as a research object for physicists who are willing to uncover the mechanisms of life processes in a physical view. To achieve this, single-molecule method has been invented and used widely. As one of these methods, single-molecule magnetic trapping manipulates biological molecules by applying extension force or torque to the magnetic beads tethered through biological molecule to pre-coated glass surfaces by manipulating the position or rotation of a pair of magnets. A linear DNA molecule can be manipulated in such a way to generate plectonemes, i.e. DNA supercoils, under an extension force of 0.3 pN (1 pN = 10<sup>–12</sup> N), possessing the feature that the number of unwound base pairs of a supercoiled DNA can be observed by the changes in the number of supercoils reflected by the DNA extension changes. Thus, the DNA unwound by RNAP, i.e. the transcription bubble, during transcription can be observed in this way. By monitoring the kinetics of the transcription bubble in real time, this method thus allows single-molecule detection with single-base resolution and a high-throughput data collection fashion in the kinetic studies of transcription. Owing to the advantages of the manipulation of DNA supercoils with single-molecule magnetic trapping, one can mimic the mechanistic feature of DNAs in vivo and characterize the kinetics of transcription under such conditions. This method can also be combined with single-molecule fluorescence method which can be applied to studying the mechanism of transcription regulation while monitoring the behaviors of fluorescently labeled biological molecules that interact with functional RNAP molecules, providing examples for studying the mechanisms of transcription regulations in more complex systems.

A spatially resolved stochastic model reveals the role of supercoiling in transcription regulation.

In Escherichia coli, translocation of RNA polymerase (RNAP) during transcription introduces supercoiling to DNA, which influences the initiation and elongation behaviors of RNAP. To quantify the role of supercoiling in transcription regulation, we developed a spatially resolved supercoiling model of transcription. The integrated model describes how RNAP activity feeds back with the local DNA supercoiling and how this mechanochemical feedback controls transcription, subject to topoisomerase activities and stochastic topological domain formation. This model establishes that transcription-induced supercoiling mediates the cooperation of co-transcribing RNAP molecules in highly expressed genes, and this cooperation is achieved under moderate supercoiling diffusion and high topoisomerase unbinding rates. It predicts that a topological domain could serve as a transcription regulator, generating substantial transcriptional noise. It also shows the relative orientation of two closely arranged genes plays an important role in regulating their transcription. The model provides a quantitative platform for investigating how genome organization impacts transcription.

A counting-strategy together with a spatial structured model describes RNA polymerase and ribosome availability in Escherichia coli

The allocation of resources during bacterial growth is strongly related to the availability of ribosomes and RNA polymerase molecules. Here, coarse-grained models offer a promising start due to their simple structure and the limited number of kinetic parameters. Based on published data sets for proteome and mRNA data in Escherichia coli, and together with mass balance equations describing gene expression, we are able to calculate the number of active molecules (that is, the number of ribosomes that are currently translating nascent and mature mRNA, as well as the number of RNA polymerase molecules on the DNA). This information is a prerequisite for meaningful coarse-grained models. In our approach, the cellular compartment is structured into a cytosolic region and a nucleoid region, and the processes of transcription and translation are assigned accordingly. The theoretical study reveals a quadratic relationship between the number of active ribosomes and the growth rate μ. While the overall available number of ribosomes follows the linear “bacterial growth law”, the approach allows us to determine the growth limit for the chosen experimental environment (minimal medium, only one C source). The new approach is in good agreement with published experimental data, and, with a simple rule of thumb can be applied to other cellular systems.

Real-time single-cell characterization of the eukaryotic transcription cycle reveals correlations between RNA initiation, elongation, and cleavage.

The eukaryotic transcription cycle consists of three main steps: initiation, elongation, and cleavage of the nascent RNA transcript. Although each of these steps can be regulated as well as coupled with each other, their in vivo dissection has remained challenging because available experimental readouts lack sufficient spatiotemporal resolution to separate the contributions from each of these steps. Here, we describe a novel application of Bayesian inference techniques to simultaneously infer the effective parameters of the transcription cycle in real time and at the single-cell level using a two-color MS2/PP7 reporter gene and the developing fruit fly embryo as a case study. Our method enables detailed investigations into cell-to-cell variability in transcription-cycle parameters as well as single-cell correlations between these parameters. These measurements, combined with theoretical modeling, suggest a substantial variability in the elongation rate of individual RNA polymerase molecules. We further illustrate the power of this technique by uncovering a novel mechanistic connection between RNA polymerase density and nascent RNA cleavage efficiency. Thus, our approach makes it possible to shed light on the regulatory mechanisms in play during each step of the transcription cycle in individual, living cells at high spatiotemporal resolution.

Biophysics One Molecule at a Time

Single molecule approaches have become the methods of choice to study the operation of many of the cell's molecular machines. I will describe briefly the advantage of these methods over their bulk counterparts, before discussing one particular case study: the crossing of the nucleosomal barrier by a single molecule of RNA polymerase II. I will show that the dynamics of the crossing process is largely determined by the inability of the enzyme to separate the DNA from the surface of the histone core and its operation, instead, as a rectifier of the fluctuations experienced by the nucleosome structure. As a fundamental mechanism of control of gene expression, the magnitude of the barrier is the subject of regulation through epi-genetic modifications of chromatin. At the end I present some of the questions that need to be answered in order to garner a more complete picture of how chromatin structure and its chemical modification regulate gene expression.

Long-Range Supercoiling-Mediated RNA Polymerase Cooperation in Transcription.

It is widely believed that DNA supercoiling plays an important role in the regulation of transcriptional dynamics. Recent studies show that it could affect transcription not only through the buildup and relaxation of torsional strain on DNA strands but also via effective long-range supercoiling-mediated interactions between RNA polymerase (RNAP) molecules. Here, we present a theoretical study that quantitatively analyzes the effect of long-range RNAP cooperation in transcription dynamics. Our minimal chemical-kinetic model assumes that one or two RNAP molecules can simultaneously participate in the transcription, and it takes into account their binding to and dissociation from DNA. It also explicitly accounts for competition between the supercoiling buildup that reduces the RNA elongation speed and gyrase binding that rescues the RNA synthesis. The full analytical solution of the model accompanied by Monte Carlo computer simulations predicts that the system should exhibit transcriptional bursting dynamics, in agreement with experimental observations. The analysis also revealed that when there are two polymerases participating in the elongation rather than one, the transcription process becomes much more efficient since the level of stochastic noise decreases while more RNA transcripts are produced. Our theoretical investigation clarifies molecular aspects of the supercoiling-mediated RNAP cooperativity during transcription.

Clusters of bacterial RNA polymerase are biomolecular condensates that assemble through liquid-liquid phase separation.

Once described as mere "bags of enzymes," bacterial cells are in fact highly organized, with many macromolecules exhibiting nonuniform localization patterns. Yet the physical and biochemical mechanisms that govern this spatial heterogeneity remain largely unknown. Here, we identify liquid-liquid phase separation (LLPS) as a mechanism for organizing clusters of RNA polymerase (RNAP) in Escherichia coli Using fluorescence imaging, we show that RNAP quickly transitions from a dispersed to clustered localization pattern as cells enter log phase in nutrient-rich media. RNAP clusters are sensitive to hexanediol, a chemical that dissolves liquid-like compartments in eukaryotic cells. In addition, we find that the transcription antitermination factor NusA forms droplets in vitro and in vivo, suggesting that it may nucleate RNAP clusters. Finally, we use single-molecule tracking to characterize the dynamics of cluster components. Our results indicate that RNAP and NusA molecules move inside clusters, with mobilities faster than a DNA locus but slower than bulk diffusion through the nucleoid. We conclude that RNAP clusters are biomolecular condensates that assemble through LLPS. This work provides direct evidence for LLPS in bacteria and demonstrates that this process can serve as a mechanism for intracellular organization in prokaryotes and eukaryotes alike.

Control of noise in gene expression by transcriptional reinitiation

Gene expression is a random or noisy process. The process consists of several random events, among which the reinitiation of transcription by RNA polymerase (RNAP) is an important one. The RNAP molecules can bind the gene only after the promoter gets activated by transcription factors. Several transcription factors bind the promoter to put the gene in the active state. The gene turns into the inactive state as the bound transcription factors leave the promoter. During the active period of the gene, many RNAP molecules transcribe the gene to synthesize messenger RNA (mRNA). The binding of RNAP to the active state of the gene is a probabilistic process and therefore introduces noise or fluctuations in the mRNA and protein levels. In this paper, we analytically calculate the Fano factor in mRNA and protein levels, and also the probability distribution of mRNA numbers exactly with the binding event of RNAPs in the gene transcription process. The analytically calculated expression of the Fano factor of proteins shows excellent agreement with an experimental result. Then we show that the Fano factor in mRNA levels can be sub-Poissonian due to the reinitiation of transcription by RNAP, and the mean mRNA level can be increased without increasing the Fano factor. Our study show that the Fano factor can also be reduced keeping mRNA levels fixed. We find that the reinitiation of transcription can behave as a fine-tuned control process to regulate the mRNA/protein level in the cell.

Excessive Promoters as Silencers of Genes Horizontally Acquired by Escherichia coli.

Horizontally acquired genes are usually transcriptionally inactive, although most of them are associated with genomic loci enriched with promoter-like sequences forming “promoter islands.” We hypothesized that lateral DNA transfer induces local mutagenesis, accumulating AT base pairs and creating promoter-like sequences, whose occupancy with RNA polymerase and a specific silencer H-NS suppresses the transcription of foreign genes. Error-prone mutagenesis was implemented for the “promoter island” of a foreign gene appY and the promoter region of an inherent gene dps. Derivatives with changed transcriptional activity were selected using a reporter plasmid pET28_eGFP. Only one cycle of mutagenesis with negative selection suppressed the activity of the main dps promoter to the background level due to a single substitution in its -10 element, while positive selection gave a sequence with improved -35 element, thus testifying feasibility of the approach. The same suppression for appY was achieved by three cycles, while eightfold transcription activation required nine iterations of mutagenesis. In both cases, the number of potential start points decreased resulting in an ordinary regulatory region with only one dominant promoter in the case of positive selection. Efficiency of H-NS binding remained virtually unchanged in all mutant constructs. Based on these findings we conclude that excessive promoters can adversely affect transcription by providing a platform for interference between several RNA polymerase molecules, which can act as a silencer at promoter-dense regions.

Probing Mechanisms of Transcription Elongation Through Cell-to-Cell Variability of RNA Polymerase

The process of transcription initiation and elongation are primary points of control in the regulation of gene expression. Although biochemical studies have uncovered the mechanisms involved in controlling transcription at each step, how these mechanisms manifest in vivo at the level of individual genes is still unclear. Recent experimental advances have enabled single-cell measurements of RNA polymerase (RNAP) molecules engaged in the process of transcribing a gene of interest. In this article, we use Gillespie simulations to show that measurements of cell-to-cell variability of RNAP numbers and interpolymerase distances can reveal the prevailing mode of regulation of a given gene. Mechanisms of regulation at each step, from initiation to elongation dynamics, produce qualitatively distinct signatures, which can further be used to discern between them. Most intriguingly, depending on the initiation kinetics, stochastic elongation can either enhance or suppress cell-to-cell variability at the RNAP level. To demonstrate the value of this framework, we analyze RNAP number distribution data for ribosomal genes in Saccharomyces cerevisiae from three previously published studies and show that this approach provides crucial mechanistic insights into the transcriptional regulation of these genes.

Comprehensive analysis of full genome sequence and Bd-milRNA/target mRNAs to discover the mechanism of hypovirulence in Botryosphaeria dothidea strains on pear infection with BdCV1 and BdPV1

Pear ring rot disease, mainly caused by Botryosphaeria dothidea, is widespread in most pear and apple-growing regions. Mycoviruses are used for biocontrol, especially in fruit tree disease. BdCV1 (Botryosphaeria dothidea chrysovirus 1) and BdPV1 (Botryosphaeria dothidea partitivirus 1) influence the biological characteristics of B. dothidea strains. BdCV1 is a potential candidate for the control of fungal disease. Therefore, it is vital to explore interactions between B. dothidea and mycovirus to clarify the pathogenic mechanisms of B. dothidea and hypovirulence of B. dothidea in pear. A high-quality full-length genome sequence of the B. dothidea LW-Hubei isolate was obtained using Single Molecule Real-Time sequencing. It has high repeat sequence with 9.3% and DNA methylation existence in the genome. The 46.34 Mb genomes contained 14,091 predicted genes, which of 13,135 were annotated. B. dothidea was predicted to express 3833 secreted proteins. In bioinformatics analysis, 351 CAZy members, 552 transporters, 128 kinases, and 1096 proteins associated with plant-host interaction (PHI) were identified. RNA-silencing components including two endoribonuclease Dicer, four argonaute (Ago) and three RNA-dependent RNA polymerase (RdRp) molecules were identified and expressed in response to mycovirus infection. Horizontal transfer of the LW-C and LW-P strains indicated that BdCV1 induced host gene silencing in LW-C to suppress BdPV1 transmission. To investigate the role of RNA-silencing in B. dothidea defense, we constructed four small RNA libraries and sequenced B. dothidea micro-like RNAs (Bd-milRNAs) produced in response to BdCV1 and BdPV1 infection. Among these, 167 conserved and 68 candidate novel Bd-milRNAs were identified, of which 161 conserved and 20 novel Bd-milRNA were differentially expressed. WEGO analysis revealed involvement of the differentially expressed Bd-milRNA-targeted genes in metabolic process, catalytic activity, cell process and response to stress or stimulus. BdCV1 had a greater effect on the phenotype, virulence, conidiomata, vertical and horizontal transmission ability, and mycelia cellular structure biological characteristics of B. dothidea strains than BdPV1 and virus-free strains. The results obtained in this study indicate that mycovirus regulates biological processes in B. dothidea through the combined interaction of antiviral defense mediated by RNA-silencing and milRNA-mediated regulation of target gene mRNA expression.

Density of σ70 promoter-like sites in the intergenic regions dictates the redistribution of RNA polymerase during osmotic stress in Escherichia coli.

RNA polymerase (RNAP), the transcription machinery, shows dynamic binding across the genomic DNA under different growth conditions. The genomic features that selectively redistribute the limited RNAP molecules to dictate genome-wide transcription in response to environmental cues remain largely unknown. We chose the bacterial osmotic stress response model to determine genomic features that direct genome-wide redistribution of RNAP during the stress. Genomic mapping of RNAP and transcriptome profiles corresponding to the different temporal states after salt shock were determined. We found rapid redistribution of RNAP across the genome, primarily at σ70 promoters. Three subsets of genes exhibiting differential salt sensitivities were identified. Sequence analysis using an information-theory based σ70 model indicates that the intergenic regions of salt-responsive genes are enriched with a higher density of σ70 promoter-like sites than those of salt-sensitive genes. In addition, the density of promoter-like sites has a positive linear correlation with RNAP binding at different salt concentrations. The RNAP binding contributed by the non-initiating promoter-like sites is important for gene transcription at high salt concentration. Our study demonstrates that hyperdensity of σ70 promoter-like sites in the intergenic regions of salt-responsive genes drives the RNAP redistribution for reprograming the transcriptome to counter osmotic stress.

Estimating RNA Polymerase Protein Binding Sites on λ DNA Using Solid-State Nanopores.

In this work, using a silicon nitride nanopore based device, we measure the binding locations of RNA Polymerase (RNAP) on 48.5 kbp (16.5 μm) long λ DNA. To prevent the separation of bound RNAPs from a λ DNA molecule in the high electric field inside a nanopore, we cross-linked RNAP proteins to λ DNA by formaldehyde. We compare the current blockage event data measured with a mixture of λ DNA and RNAP under cross-link conditions with our control samples: RNAP, λ DNA, RNAP, and λ DNA incubated in formaldehyde separately and in a mixture. By analyzing the time durations and amplitudes of current blockage signals of events and their subevents, as well as subevent starting times, we can estimate the binding efficiency and locations of RNAPs on a λ DNA. Our data analysis shows that under the conditions of our experiment with the ratio of 6 to 1 for RNAP to λ DNA molecules, the probability of an RNAP molecule to bind a λ DNA is ∼42%, and that RNAP binding has a main peak at 3.51 μm ± 0.53 μm, most likely corresponding to the two strong promoter regions at 3.48 and 4.43 μm of λ DNA. However, individual RNAP binding sites were not distinguished with this nanopore setup. This work brings out new perspectives and complications to study transcription factor RNAP binding at various positions on very long DNA molecules.

Demodulated standing solitary wave and DNA-RNA transcription.

Nonlinear dynamics of DNA molecule at segments where DNA-RNA transcription occurs is studied. Our basic idea is that the solitary wave, moving along the chain, transforms into a demodulated one at these segments. The second idea is that the wave becomes a standing one due to interaction with DNA surrounding, e.g., RNA polymerase molecules. We explain why this is biologically convenient and show that our results match the experimental ones. In addition, we suggest how to experimentally determine crucial constant describing covalent bonds within DNA.

How does supercoiling regulation on a battery of RNA polymerases impact on bacterial transcription bursting?

Transcription plays an essential role in gene expression. The transcription bursting in bacteria has been suggested to be regulated by positive supercoiling accumulation in front of a transcribing RNA polymerase (RNAP) together with gyrase binding on DNA to release the supercoiling. In this work, we study the supercoiling regulation in the case of a battery of RNAPs working together on DNA by constructing a multi-state quantitative model, which allows gradual and stepwise supercoiling accumulation and release in the RNAP transcription. We solved for transcription characteristics under the multi-state bursting model for a single RNAP transcription, and then simulated for a battery of RNAPs on DNA with T7 and Escherichia coli RNAP types of traffic, respectively, probing both the average and fluctuation impacts of the supercoiling regulation. Our studies show that due to the supercoiling accumulation and release, the number of RNAP molecules loaded onto the DNA vary significantly along time in the traffic condition. Though multiple RNAPs in transcription promote the mRNA production, they also enhance the supercoiling accumulation to suppress the production. In particular, the fluctuations of the mRNA transcripts become highly pronounced for a battery of RNAPs transcribing together under the supercoiling regulation, especially for a long process of transcription elongation. In such an elongation process, though a single RNAP can work at a high duty ratio, multiple RNAPs are hardly able to do so. Our multi-state model thus provides a systematical characterization of the quantitative features of the bacterial transcription bursting; it also supports improved physical examinations on top of this general modeling framework.

Pause sequences facilitate entry into long-lived paused states by reducing RNA polymerase transcription rates

Transcription by RNA polymerase (RNAP) is interspersed with sequence-dependent pausing. The processes through which paused states are accessed and stabilized occur at spatiotemporal scales beyond the resolution of previous methods, and are poorly understood. Here, we combine high-resolution optical trapping with improved data analysis methods to investigate the formation of paused states at enhanced temporal resolution. We find that pause sites reduce the forward transcription rate of nearly all RNAP molecules, rather than just affecting the subset of molecules that enter long-lived pauses. We propose that the reduced rates at pause sites allow time for the elongation complex to undergo conformational changes required to enter long-lived pauses. We also find that backtracking occurs stepwise, with states backtracked by at most one base pair forming quickly, and further backtracking occurring slowly. Finally, we find that nascent RNA structures act as modulators that either enhance or attenuate pausing, depending on the sequence context.

The RNA polymerase clamp interconverts dynamically among three states and is stabilized in a partly closed state by ppGpp.

RNA polymerase (RNAP) contains a mobile structural module, the ‘clamp,’ that forms one wall of the RNAP active-center cleft and that has been linked to crucial aspects of the transcription cycle, including promoter melting, transcription elongation complex stability, transcription pausing, and transcription termination. Using single-molecule FRET on surface-immobilized RNAP molecules, we show that the clamp in RNAP holoenzyme populates three distinct conformational states and interconvert between these states on the 0.1–1 s time-scale. Similar studies confirm that the RNAP clamp is closed in open complex (RPO) and in initial transcribing complexes (RPITC), including paused initial transcribing complexes, and show that, in these complexes, the clamp does not exhibit dynamic behaviour. We also show that, the stringent-response alarmone ppGpp, which reprograms transcription during amino acid starvation stress, selectively stabilizes the partly-closed-clamp state and prevents clamp opening; these results raise the possibility that ppGpp controls promoter opening by modulating clamp dynamics.