Concentration Of RNA Polymerase Research Articles

Optimization and quantification of protein synthesis inside liposomes

Synthetic biology aims at reprogramming existing, or creating new, biological systems, with the ultimate aim to obtain artificial cells whose functions can be tailored. For the latter, encapsulation of complex biochemical reactions into cell-sized compartments, such as liposomes, is required. Recently, several groups have demonstrated that proteins of interest can be produced de novo within liposomes by entrapping cell-free protein-synthesis systems and DNA templates inside liposomes. Although detectable, intraliposomal protein synthesis was generally poor. Here, we have optimized intraliposomal cell-free protein synthesis by changing several variables, including lipid composition as well as liposome, pyrophosphatase, and T7 RNA polymerase concentration. Further, by using an activity-based assay, we have quantified the amount of full-length protein that was produced from DNA templates inside liposomes before and after optimization of aforementioned variables. Based on the model protein β-galactosidase, it is demonstrated that liposomal protein synthesis can yield microgram quantities of protein (30–40 μg/mL liposomes).

Maximum rrn promoter activity in Escherichia coli at saturating concentrations of free RNA polymerase

During fast growth, the rrn P1 promoters of Escherichia coli operate at their maximum strength, but below their maximum activity ( V max), since they are not saturated with RNA polymerase. Since higher concentrations of free RNA polymerase are expected to be found in strains carrying rrn deletions, we have analyzed reported electron micrographs of rrn operons from rrn deletion strains growing at maximal rates (at 37 °C) in LB medium [1]. We conclude that, in a strain with four of the seven rrn operons inactivated by partial deletions, transcripts are initiated at rrn P1 promoters 1.6-fold more rapidly than in the wild-type strain and the entirety of the rrn operon is transcribed at a 1.5-fold higher average elongation rate due to shortened pauses in the 16S and 23S regions. Under this condition, traffic congestion occurs in front of a pause site in the 5′ leader region of the rrn operon near the beginning of the 16S gene; the congestion extends all the way back to the promoter, impedes promoter clearance and limits the promoter activity to one initiation per 0.56 s. This corresponds to a promoter activity of 107 transcripts/min and is assumed to be close to the V max of rrn P1 promoters.

The Transcriptional Repressor CcpN from Bacillus subtilis Uses Different Repression Mechanisms at Different Promoters

CcpN, a transcriptional repressor from Bacillus subtilis that is responsible for the carbon catabolite repression of three genes, has been characterized in detail in the past 4 years. However, nothing is known about the actual repression mechanism as yet. Here, we present a detailed study on how CcpN exerts its repression effect at its three known target promoters of the genes sr1, pckA, and gapB. Using gel shift assays under non-repressive and repressive conditions, we showed that CcpN and RNA polymerase can bind simultaneously and that CcpN does not prevent RNA polymerase (RNAP) binding to the promoter. Furthermore, we investigated the effect of CcpN on open complex formation and demonstrate that CcpN also does not act at this step of transcription initiation at the sr1 and pckA and presumably at the gapB promoter. Investigation of abortive transcript synthesis revealed that CcpN acts differently at the three promoters: At the sr1 and pckA promoter, promoter clearance is impeded by CcpN, whereas synthesis of abortive transcripts is repressed at the gapB promoter. Eventually, we demonstrated with Far Western blots and co-elution experiments that CcpN is able to interact with the RNAP alpha-subunit, which completes the picture of the requirements for the repressive action of CcpN. On the basis of the presented results, we propose a new working model for CcpN action.

From sequence to dynamics: the effects of transcription factor and polymerase concentration changes on activated and repressed promoters

BackgroundThe fine tuning of two features of the bacterial regulatory machinery have been known to contribute to the diversity of gene expression within the same regulon: the sequence of Transcription Factor (TF) binding sites, and their location with respect to promoters. While variations of binding sequences modulate the strength of the interaction between the TF and its binding sites, the distance between binding sites and promoters alter the interaction between the TF and the RNA polymerase (RNAP).ResultsIn this paper we estimated the dissociation constants (Kd) of several E. coli TFs in their interaction with variants of their binding sequences from the scores resulting from aligning them to Positional Weight Matrices. A correlation coefficient of 0.78 was obtained when pooling together sites for different TFs. The theoretically estimated Kd values were then used, together with the dissociation constants of the RNAP-promoter interaction to analyze activated and repressed promoters. The strength of repressor sites -- i.e., the strength of the interaction between TFs and their binding sites -- is slightly higher than that of activated sites. We explored how different factors such as the variation of binding sequences, the occurrence of more than one binding site, or different RNAP concentrations may influence the promoters' response to the variations of TF concentrations. We found that the occurrence of several regulatory sites bound by the same TF close to a promoter -- if they are bound by the TF in an independent manner -- changes the effect of TF concentrations on promoter occupancy, with respect to individual sites. We also found that the occupancy of a promoter will never be more than half if the RNAP concentration-to-Kp ratio is 1 and the promoter is subject to repression; or less than half if the promoter is subject to activation. If the ratio falls to 0.1, the upper limit of occupancy probability for repressed drops below 10%; a descent of the limits occurs also for activated promoters.ConclusionThe number of regulatory sites may thus act as a versatility-producing device, in addition to serving as a source of robustness of the transcription machinery. Furthermore, our results show that the effects of TF concentration fluctuations on promoter occupancy are constrained by RNAP concentrations.

Growth-rate-dependent partitioning of RNA polymerases in bacteria

Physiological changes that result in changes in bacterial gene expression are often accompanied by changes in the growth rate for fast adapting enteric bacteria. Because the availability of RNA polymerase (RNAP) in cells depends on the growth rate, transcriptional control involves not only the regulation of promoters, but also depends on the available (or free) RNAP concentration, which is difficult to quantify directly. Here, we develop a simple physical model describing the partitioning of cellular RNAP into different classes: RNAPs transcribing mRNA and ribosomal RNA (rRNA), RNAPs nonspecifically bound to DNA, free RNAP, and immature RNAP. Available experimental data for Escherichia coli allow us to determine the 2 unknown parameters of the model and hence deduce the free RNAP concentration at different growth rates. The results allow us to predict the growth-rate dependence of the activities of constitutive (unregulated) promoters, and to disentangle the growth-rate-dependent regulation of promoters (e.g., the promoters of rRNA operons) from changes in transcription due to changes in the free RNAP concentration at different growth rates. Our model can quantitatively account for the observed changes in gene expression patterns in mutant E. coli strains with altered levels of RNAP expression without invoking additional parameters. Applying our model to the case of the stringent response after amino acid starvation, we can evaluate the plausibility of various scenarios of passive transcriptional control proposed to account for the observed changes in the expression of rRNA and biosynthetic operons.

Modulation of Chemical Composition and Other Parameters of the Cell at Different Exponential Growth Rates.

This review begins by briefly presenting the history of research on the chemical composition and other parameters of cells of E. coli and S. enterica at different exponential growth rates. Studies have allowed us to determine the in vivo strength of promoters and have allowed us to distinguish between factor-dependent transcriptional control of the promoter and changes in promoter activity due to changes in the concentration of free functional RNA polymerase associated with different growth conditions. The total, or bulk, amounts of RNA and protein are linked to the growth rate, because most bacterial RNA is ribosomal RNA (rRNA). Since ribosomes are required for protein synthesis, their number and their rate of function determine the rate of protein synthesis and cytoplasmic mass accumulation. Many mRNAs made in the presence of amino acids have strong ribosome binding sites whose presence reduces the expression of all other active genes. This implies that there can be profound differences in the spectrum of gene activities in cultures grown in different media that produce the same growth rate. Five classes of growth-related parameters that are generally useful in describing or establishing the macromolecular composition of bacterial cultures are described in detail in this review. A number of equations have been reported that describe the macromolecular composition of an average cell in an exponential culture as a function of the culture doubling time and five additional parameters: the C- and D-periods, protein per origin (PO), ribosome activity, and peptide chain elongation rate.

Regulation of pyrG expression in Bacillus subtilis: CTP‐regulated antitermination and reiterative transcription with pyrG templates in vitro

The regulation of pyrG expression in a group of low GC Gram-positive bacteria was previously shown to be mediated by a novel form of transcription attenuation in which low levels of intracellular CTP induce reiterative addition of G residues at position +4 in the 5' end of the pyrG mRNA, which is encoded as pppGGGC. . . . The poly(G) sequences formed under these conditions act to prevent attenuation by base pairing with the C- and U-rich 5' strand of a downstream terminator stem-loop located in the pyrG leader. In this work we document the reconstitution of this regulatory system in vitro using only the native pyrG DNA template, RNA polymerase and appropriate concentrations of ribonucleotides. CTP-regulated reiterative transcription producing 5'-poly(G) tracts and regulation of transcription termination at the pyrG attenuator by CTP were demonstrated. Mutations in the native pyrG template that altered reiterative transcription and attenuation in vivo resulted in alternations in expression in the in vitro transcription system that were predicted by the mechanism described above. These findings provide strong experimental support for the proposed reiterative transcription/antitermination mechanism and confirm that no trans-acting regulatory protein is required for pyrG regulation.

Plasticity of the P junc Promoter of ISEc 11 , a New Insertion Sequence of the IS 1111 Family

We describe identification and functional characterization of ISEc11, a new insertion sequence that is widespread in enteroinvasive E. coli (EIEC), in which it is always present on the virulence plasmid (pINV) and very frequently also present on the chromosome. ISEc11 is flanked by subterminal 13-bp inverted repeats (IRs) and is bounded by 3-bp terminal sequences, and it transposes with target specificity without generating duplication of the target site. ISEc11 is characterized by an atypical transposase containing the DEDD motif of the Piv/MooV family of DNA recombinases, and it is closely related to the IS1111 family. Transposition occurs by formation of minicircles through joining of the abutted ends and results in assembly of a junction promoter (P juncC) containing a -10 box in the interstitial sequence and a -35 box upstream of the right IR. A natural variant of ISEc11 (ISEc11p), found on EIEC pINV plasmids, contains a perfect duplication of the outermost 39 bp of the right end. Upon circularization, ISEc11p forms a junction promoter (P juncP) which, despite carrying -10 and -35 boxes identical to those of P juncC, exhibits 30-fold-greater strength in vivo. The discovery of only one starting point in primer extension experiments rules out the possibility that there are alternative promoter sites within the 39-bp duplication. Analysis of in vitro-generated transcripts confirmed that at limiting RNA polymerase concentrations, the activity of P juncP is 20-fold higher than the activity of P juncC. These observations suggest that the 39-bp duplication might host cis-acting elements that facilitate the binding of RNA polymerase to the promoter.

Specialized transcription factories

We have previously suggested a model for the eukaryotic genome based on the structure of the bacterial nucleoid where active RNA polymerases cluster to loop the intervening DNA. This organization of polymerases into clusters--which we call transcription 'factories'--has important consequences. For example, in the nucleus of a HeLa cell the concentration of soluble RNA polymerase II is approximately 1 mM, but the local concentration in a factory is 1000-fold higher. Because a promoter can diffuse approximately 100 nm in 15 s, one lying near a factory is likely to initiate; moreover, when released at termination, it will still lie near a factory, and the movement and modifications (e.g. acetylation) accompanying elongation will leave it in an 'open' conformation. Another promoter out in a long loop is less likely to initiate, because the promoter concentration falls off with the cube of the distance from the factory. Moreover, a long tether will buffer it from transcription-induced movement, making it prone to deacetylation, deposition of HP1 (heterochromatin protein 1), and incorporation into heterochromatin. The context around a promoter will then be self-sustaining: productive collisions of an active promoter with the factory will attract factors increasing the frequency of initiation, and the longer an inactive promoter remains inactive, the more it becomes embedded in heterochromatin. We review here the evidence that different factories may specialize in the transcription of different groups of genes.

Extended Upstream A-T Sequence Increases T7 Promoter Strength

Bacteriophage T7 promoters contain a consensus sequence from -17 to +6 relative to the transcription start site, +1. In addition, the strong class III promoters are characterized by an extended AT-rich region upstream of -17, which is often interrupted by one or more GC base pairs in the weaker class II promoters. Herein we studied the role of the AT-rich region upstream of -17 in transcription regulation of T7 RNA polymerase. Equilibrium DNA binding studies with promoter fragments of consensus sequence truncated at various positions between -17 and -27 showed that the polymerase-promoter complex is significantly stabilized as the upstream AT-rich sequence is extended to and beyond -22. Similarly, promoters in which the AT-rich region from -17 to -22 is interrupted by several GC base pairs showed weak binding. Kinetic studies indicated that the presence of extended AT-rich sequence slows the dissociation rate constant of the polymerase-promoter complex and slightly stimulates the association rate constant, thereby increasing the stability of the complex. Measurement of the transcription activity revealed that the extended AT-rich region does not affect the kinetics of abortive synthesis up to the formation of 8-nucleotide RNA but causes accumulation of longer abortive products between 9 and 13 nucleotides. The observed effects of the upstream DNA region were AT sequence-specific, and the results suggested a larger role for the extended AT-rich sequence that has been unappreciated previously. We propose that the AT-rich DNA sequence upstream of -17 plays a role in modulating the efficiency of transcription initiation by affecting both the affinity of T7 RNA polymerase for the promoter and the efficiency of promoter clearance.

Control of rRNA synthesis in Escherichia coli: a systems biology approach.

The first part of this review contains an overview of the various contributions and models relating to the control of rRNA synthesis reported over the last 45 years. The second part describes a systems biology approach to identify the factors and effectors that control the interactions between RNA polymerase and rRNA (rrn) promoters of Escherichia coli bacteria during exponential growth in different media. This analysis is based on measurements of absolute rrn promoter activities as transcripts per minute per promoter in bacterial strains either deficient or proficient in the synthesis of the factor Fis and/or the effector ppGpp. These absolute promoter activities are evaluated in terms of rrn promoter strength (V(max)/K(m)) and free RNA polymerase concentrations. Three major conclusions emerge from this evaluation. First, the rrn promoters are not saturated with RNA polymerase. As a consequence, changes in the concentration of free RNA polymerase contribute to changes in rrn promoter activities. Second, rrn P2 promoter strength is not specifically regulated during exponential growth at different rates; its activity changes only when the concentration of free RNA polymerase changes. Third, the effector ppGpp reduces the strength of the rrn P1 promoter both directly and indirectly by reducing synthesis of the stimulating factor Fis. This control of rrn P1 promoter strength forms part of a larger feedback loop that adjusts the synthesis of ribosomes to the availability of amino acids via amino acid-dependent control of ppGpp accumulation.

Asymmetric expression of transcripts derived from the shared promoter between the divergently oriented ACACA and TADA2L genes

The mammalian gene ( ACACA) encoding acetyl-CoA carboxylase-α, a key regulatory enzyme of fatty acid synthesis, is transcribed from multiple promoters. We have delineated the 5′ boundary of ACACA in four species (human, mouse, rat, and ovine). The 5′ end of ACACA is located within a 600- to 700-bp CpG island encompassing a bidirectional promoter shared with the divergently oriented TADA2L, which encodes a component of chromatin-modifying complexes. In mouse and rat, this promoter, now referred to as Acaca PI, is located 43 kb upstream of the previously known regulatory regions. The shared promoter coregulates transcripts for TADA2L and ACACA in an asymmetric fashion in human and mouse tissues. A higher concentration of RNA polymerase II (Pol II) within the intergenic region in brain compared to liver of mouse reflects the greater abundance of the two transcripts in brain. The concentration of Pol II tracking downstream, which is lower than at the promoter, is not significantly different in either gene in the two tissues and does not reflect the 10- and >200-fold greater abundance of Tada2l and Acaca PI transcripts, respectively, in brain. Thus, regulation of clearance of Pol II from the promoter and the rate of elongation may therefore be determinants of the asymmetric expression of these transcripts.

Free RNA polymerase and modeling global transcription in Escherichia coli

Growth rate-dependent changes in the cytoplasmic concentration of free functional RNA polymerase, [ R f], affect the activity of all bacterial genes. Since [ R f] is not accessible to direct experimental quantitation, it can only be found indirectly from an evaluation of promoter activity data. Here, a theory has been derived to calculate [ R f] from the concentrations of total RNA polymerase and promoters in a model system with known Michaelis–Menten constants for the polymerase–promoter interactions. The theory takes transcript lengths and elongation rates into account and predicts how [ R f] changes with varying gene dosages. From experimental data on total concentrations of RNA polymerase and kinetic properties of different classes of promoters, the theory was developed into a mathematical model that reproduces the global transcriptional control in Escherichia coli growing at different rates. The model allows an estimation of the concentrations of free and DNA-bound RNA polymerase, as well as the partitioning of RNA polymerase into mRNA and stable RNA synthesizing fractions. According to this model, [ R f] is about 0.4 and 1.2 μM at growth rates corresponding to 1.0 and 2.5 doublings/h, respectively. The model accurately reflects a number of further experimental observations and suggests that the free RNA polymerase concentration increases with increasing growth rate.

Kinetic properties of rrn promoters in Escherichia coli

How do bacteria adapt and optimize their growth in response to different environments? The answer to this question is intimately related to the control of ribosome bio-synthesis. During the last decades numerous proposals have been made to explain this control but none has been definitive. To readdress the problem, we have used measurements of rRNA synthesis rates and rrn gene dosages in E. coli to find the absolute transcription rates of the average rrn operon (transcripts per min per operon) at different growth rates. By combining these rates with lacZ expression data from rRNA promoter- lacZ fusions, the abolute activities of the isolated rrnB P1 and P2 promoters were determined as functions of the growth rate in the presence and absence of Fis and of the effector ppGpp. The promoter activity data were analyzed to obtain the relative concentrations of free RNA polymerase, [ R f], and the ratio of the Michaelis-Menten parameters, V max/ K m (promoter strength), that characterize the promoter-RNA polymerase interaction. The results indicate that changes in the basal concentration of ppGpp can account for all growth-medium dependent regulation of the rrn P1 promoter strength. The P1 promoter strength was maximal when Fis was present and the level of ppGpp was undetectable during growth in rich media or in ppGpp-deficient strains; this maximal strength was 3-fold reduced when Fis was removed and the level of ppGpp remained undetectable. At ppGpp levels above 55 pmol per cell mass unit (OD 460) during growth in poor media, the P1 promoter strength was minimal and not affected by the presence or absence of fis. The half-maximal value occurred at 20 pmol ppGpp/OD 460 and corresponds to an intracellular concentration of about 50 μM. In connection with previously published data, the results suggest that ppGpp reduces the P1 promoter strength directly, by binding RNA polymerase, and indirectly, by inhibiting the synthesis of Fis.

Kinetic Studies and Structural Models of the Association of E. coli σ 70 RNA Polymerase with the λP R Promoter: Large Scale Conformational Changes in Forming the Kinetically Significant Intermediates

The kinetics of interaction of Eσ 70 RNA polymerase (R) with the λP R promoter (P) were investigated by filter binding over a broad range of temperatures (7.3–42 °C) and concentrations of RNA polymerase (1–123 nM) in large excess over promoter DNA. Under all conditions examined, the kinetics of formation of competitor-resistant complexes (I 2, RP o) are single-exponential with first order rate constant β CR. Interpretation of the polymerase concentration dependence of β CR in terms of the three step mechanism of open complex formation yields the equilibrium constant K 1 for formation of the first kinetically significant intermediate (I 1) and the forward rate constant ( k 2) for the conformational change converting I 1 to the second kinetically significant intermediate I 2: R+ P ⇄ K 1 I 1 → k 2 I 2. Use of rapid quench mixing allows K 1 and k 2 to be individually determined over the entire temperature range investigated, previously not possible at this promoter using manual mixing. Given the large (>60 bp) interface formed in I 1, its relatively small binding constant K 1 at 37 °C at this [salt] (∼6×10 6 M −1) strongly argues that binding free energy is used to drive large-scale structural changes in polymerase and/or promoter DNA or other coupled processes. Evidence for coupling of protein folding is provided by the large and negative activation heat capacity of k a ( ΔC a o,‡ =−1.5(±0.2) kcal K −1), now shown directly to originate largely from formation of I 1 ( ΔC 1 o =−1.4(±0.3) kcal K −1), rather than from the formation of I 2 as previously proposed. The isomerization I 1→I 2 exhibits relatively slow kinetics and has a very large temperature-independent Arrhenius activation energy (E 2 act =34(±2) kcal). This kinetic signature suggests that formation of the transition state (I 1–I 2) ‡ involves large conformational changes dominated by changes in the exposure of polar and/or charged surface to water. Structural and biochemical data lead to the following hypotheses to interpret these results. We propose that formation of I 1 involves coupled folding of unstructured regions of polymerase (β, β′ and σ 70) and bending of promoter DNA (in the −10 region). We propose that interactions with region 2 of σ 70 and possibly domain 1 of β induce a kink at the −11/−12 base pairs of the λP R promoter which places the downstream DNA (−5 to +20) in the jaws of the β and β′ subunits of polymerase in I 1. These early interactions of β and β′ with the DNA downstream of position −5 trigger jaw closing (with coupled folding) and subsequent steps of DNA opening.

The Escherichia coli Cyclic AMP Receptor Protein Forms a 2:2 Complex with RNA Polymerase Holoenzyme, in Vitro

Sedimentation equilibrium studies show that the Escherichia coli cyclic AMP receptor protein (CAP) and RNA polymerase holoenzyme associate to form a 2:2 complex in vitro. No complexes of lower stoichiometry (1:1, 2:1, 1:2) were detected over a wide range of CAP and RNA polymerase concentrations, suggesting that the interaction is highly cooperative. The absence of higher stoichiometry complexes, even in the limit of high [protein], suggests that the 2:2 species represents binding saturation for this system. The 2:2 pattern of complex formation is robust. A lower-limit estimate of the formation constant in our standard buffer (40 mm Tris (pH 7.9), 10 mm MgCl(2), 0.1 mm dithiothreitol, 5% glycerol, 100 mm KCl) is 2 x 10(20) m(-3). The qualitative pattern of association is unchanged over the temperature range 4 degrees C < or = T < or = 20 degrees C, by substitution of glutamate for chloride as the dominant anion, or on addition of 20 microm cAMP to the reaction mix. These results limit the possible mechanisms of CAP-polymerase association. In addition, they support the idea that CAP binding may influence the availability of the monomeric form of RNA polymerase that mediates transcription at many promoters.

Level of the RNA polymerase II in the fission yeast stays constant but phosphorylation of its carboxyl terminal domain varies depending on the phase and rate of cell growth.

The RNA polymerase II of the fission yeast Schizosaccharomyces pombe consists of 12 Rpb subunits, of which four (Rpb1, Rpb2, Rpb3 and Rpb11) form the assembly and catalytic core and five (Rpb5, Rpb6, Rpb8, Rpb10 and Rpb12) are shared among RNA polymerases I, II and III. The intracellular levels of three RNA polymerase forms should be interrelated, but the control of RNA polymerase formation remains mostly unknown. To reveal the physiological role and the synthesis control of each Rpb subunit, the intracellular levels of the Rpb proteins were examined in S. pombe growing at various phases under various conditions. Results indicate that the intracellular concentrations of the Rpb proteins stay constant at levels characteristic of the rate and phase of cell growth, and the relative level between the 12 subunits also remains constant, together implying that the intracellular concentration of RNA polymerase II stays constant, as in the case of prokaryotes. As an attempt to gain insights into the activity control of RNA polymerase II, we also analysed the phosphorylation level of the carboxyl-terminal domain (CTD) of the largest subunit Rpb1. Phosphorylated forms of Tyr1 and Thr4 within 29 repeats of the YSPTSPS heptapeptide were detected in both slow-migrating IIo and fast-migrating IIa forms of Rpb1 on SDS-PAGE (polyacrylamide gel electrophoresis). However, phosphorylated Ser2 and Ser5 were identified only in the IIo form, indicating that Ser phosphorylation contributes to the conformational change in CTD. The phosphorylation levels of Ser, Thr and Tyr all vary depending on the cell culture conditions. The intracellular level of RNA polymerase II stays constant, but the amount engaged in transcription cycle varies depending on the culture conditions, as estimated from the sites and levels of phosphorylation of Rpb1 CTD.

Function-based selection and characterization of base-pair polymorphisms in a promoter of Escherichia coli RNA polymerase-sigma(70).

We performed two sets of in vitro selections to dissect the role of the -10 base sequence in determining the rate and efficiency with which Escherichia coli RNA polymerase-sigma(70) forms stable complexes with a promoter. We identified sequences that (i) rapidly form heparin-resistant complexes with RNA polymerase or (ii) form heparin-resistant complexes at very low RNA polymerase concentrations. The sequences selected under the two conditions differ from each other and from the consensus -10 sequence. The selected promoters have the expected enhanced binding and kinetic properties and are functionally better than the consensus promoter sequence in directing RNA synthesis in vitro. Detailed analysis of the selected promoter functions shows that each step in this multistep pathway may have different sequence requirements, meaning that the sequence of a strong promoter does not contain the optimal sequence for each step but instead is a compromise sequence that allows all steps to proceed with minimal constraint.

Cytoplasmic RNA Polymerase in Escherichia coli.

To obtain an estimate for the concentration of free functional RNA polymerase in the bacterial cytoplasm, the content of RNA polymerase beta and beta' subunits in DNA-free minicells from the minicell-producing Escherichia coli strain chi925 was determined. In bacteria grown in Luria-Bertani medium at 2.5 doublings/h, 1.0% of the total protein was RNA polymerase. The concentration of cytoplasmic RNA polymerase beta and beta' subunits in minicells produced by this strain corresponded to about 17% (or 2.5 microM) of the value found in whole cells. Literature data suggest that a similar portion of cytoplasmic RNA polymerase subunits is in RNA polymerase assembly intermediates and imply that free functional RNA polymerase can form a small percentage of the total functional enzyme in the cell. On infection with bacteriophage T7, 20% of the minicells produced progeny phage, whereas infection in 80% of the cells was abortive. RNA polymerase subunits in lysozyme-freeze-thaw lysates of minicells were associated with minicell envelopes and were without detectable activity in an in vitro transcription assay. Together, these results suggest that most functional RNA polymerase is associated with the DNA and that little if any segregates into DNA-free minicells.

Mechanism of regulation of transcription initiation by ppGpp. II. Models for positive control based on properties of RNAP mutants and competition for RNAP

Strains containing ppGpp, a nucleotide whose synthesis is dependent on the RelA and SpoT proteins of Escherichia coli, display slightly lower rRNA promoter activity and much higher amino acid biosynthesis/transport promoter activity than Δ relAΔ spoT strains. In the accompanying paper, we show that ppGpp directly inhibits rRNA promoter activity in vitro by decreasing the lifetime of the rrn P1 open complex. However, ppGpp does not stimulate amino acid promoter activity in vitro. We show here that RNA polymerase (RNAP) mutants, selected to confer prototrophy to Δ relAΔ spoT strains, mimic the effects of ppGpp on wild-type RNAP. Based on the positions of the mutant residues that confer prototrophy in the structure of core RNAP, we suggest molecular models for how the mutants, and by analogy ppGpp, generally decrease the lifetime of open complexes. We show that amino acid promoters require higher concentrations of RNAP for function in vitro and in vivo than control promoters, and are more sensitive to competition for RNAP in vivo than control promoters. Furthermore, we show that the requirement of an amino acid promoter for ppGpp in vivo can be alleviated by increasing its rate-limiting RNAP-binding step. Our data are consistent with a previously proposed passive model in which ppGpp inhibits stable RNA synthesis directly by reducing the lifetime of the rrn P1 open complex, liberating enough RNAP to stimulate transcription from amino acid promoters. Our data also place considerable constraints on models invoking hypothetical factors that might increase amino acid promoter activity in a ppGpp-dependent fashion.