What Makes Ribosome-Mediated Transcriptional Attenuation Sensitive to Amino Acid Limitation?

Ribosome-mediated transcriptional attenuation mechanisms are commonly used to control amino acid biosynthetic operons in bacteria. The mRNA leader of such an operon contains an open reading frame with “regulatory” codons, cognate to the amino acid that is synthesized by the enzymes encoded by the operon. When the amino acid is in short supply, translation of the regulatory codons is slow, which allows transcription to continue into the structural genes of the operon. When amino acid supply is in excess, translation of regulatory codons is rapid, which leads to termination of transcription. We use a discrete master equation approach to formulate a probabilistic model for the positioning of the RNA polymerase and the ribosome in the attenuator leader sequence. The model describes how the current rate of amino acid supply compared to the demand in protein synthesis (signal) determines the expression of the amino acid biosynthetic operon (response). The focus of our analysis is on the sensitivity of operon expression to a change in the amino acid supply. We show that attenuation of transcription can be hyper-sensitive for two main reasons. The first is that its response depends on the outcome of a race between two multi-step mechanisms with synchronized starts: transcription of the leader of the operon, and translation of its regulatory codons. The relative change in the probability that transcription is aborted (attenuated) can therefore be much larger than the relative change in the time it takes for the ribosome to read a regulatory codon. The second is that the general usage frequencies of codons of the type used in attenuation control are small. A small percentage decrease in the rate of supply of the controlled amino acid can therefore lead to a much larger percentage decrease in the rate of reading a regulatory codon. We show that high sensitivity further requires a particular choice of regulatory codon among several synonymous codons for the same amino acid. We demonstrate the importance of a high fraction of regulatory codons in the control region. Finally, our integrated model explains how differences in leader sequence design of the trp and his operons of Escherichia coli and Salmonella typhimurium lead to high basal expression and low sensitivity in the former case, and to large dynamic range and high sensitivity in the latter. The model clarifies how mechanistic and systems biological aspects of the attenuation mechanism contribute to its overall sensitivity. It also explains structural differences between the leader sequences of the trp and his operons in terms of their different functions

Two GTPs are consumed on EF-Tu per peptide bond in poly(Phe) synthesis, in spite of switching stoichiometry of the EF-Tu·aminoacyl-tRNA complex with temperature

AbstractRecent observations indicate that the stoichiometry for the complex between EF-Tu · GTP and aminoacyl-tRNA (aa-tRNA) changes with temperature. At 37°C two EF-Tu · GTPs bind one aa-tRNA in an extended ternary complex, but at 0°C the complex has 1:1 stoichiometry. However, the present experiments show that there are two GTPs hydrolyzed on EF-Tu per peptide bond in poly(Phe) synthesis at 37°C as well as at 0°C. This indicates two different pathways for the enzymatic binding of aa-tRNA to the A-site on the ribosome

Thermodynamic Modeling of Variations in the Rate of RNA Chain Elongation of E. coli rrn Operons

AbstractPrevious electron-microscopic imaging has shown high RNA polymerase occupation densities in the 16S and 23S encoding regions and low occupation densities in the noncoding leader, spacer, and trailer regions of the rRNA (rrn) operons in E. coli. This indicates slower transcript elongation within the coding regions and faster elongation within the noncoding regions of the operon. Inactivation of four of the seven rrn operons increases the transcript initiation frequency at the promoters of the three intact operons and reduces the time for RNA polymerase to traverse the operon. We have used the DNA sequence-dependent standard free energy variation of the transcription complex to model the experimentally observed changes in the elongation rate along the rrnB operon. We also model the stimulation of the average transcription rate over the whole operon by increasing rate of transcript initiation. Monte Carlo simulations, taking into account initiation of transcription, translocation, and backward and forward tracking of RNA polymerase, partially reproduce the observed transcript elongation rate variations along the rrn operon and fully account for the increased average rate in response to increased frequency of transcript initiation

Mapping the interaction of SmpB with ribosomes by footprinting of ribosomal RNA

In trans-translation transfer messenger RNA (tmRNA) and small protein B (SmpB) rescue ribosomes stalled on truncated or in other ways problematic mRNAs. SmpB promotes the binding of tmRNA to the ribosome but there is uncertainty about the number of participating SmpB molecules as well as their ribosomal location. Here, the interaction of SmpB with ribosomal subunits and ribosomes was studied by isolation of SmpB containing complexes followed by chemical modification of ribosomal RNA with dimethyl sulfate, kethoxal and hydroxyl radicals. The results show that SmpB binds 30S and 50S subunits with 1:1 molar ratios and the 70S ribosome with 2:1 molar ratio. SmpB-footprints are similar on subunits and the ribosome. In the 30S subunit, SmpB footprints nucleotides that are in the vicinity of the P-site facing the E-site, and in the 50S subunit SmpB footprints nucleotides that are located below the L7/L12 stalk in the 3D structure of the ribosome. Based on these results, we suggest a mechanism where two molecules of SmpB interact with tmRNA and the ribosome during trans-translation. The first SmpB molecule binds near the factor-binding site on the 50S subunit helping tmRNA accommodation on the ribosome, whereas the second SmpB molecule may functionally substitute for a missing anticodon stem–loop in tmRNA during later steps of trans-translation

Interplay of signal recognition particle and trigger factor at L23 near the nascent chain exit site on the Escherichia coli ribosome

As newly synthesized polypeptides emerge from the ribosome, they interact with chaperones and targeting factors that assist in folding and targeting to the proper location in the cell. In Escherichia coli, the chaperone trigger factor (TF) binds to nascent polypeptides early in biosynthesis facilitated by its affinity for the ribosomal proteins L23 and L29 that are situated around the nascent chain exit site on the ribosome. The targeting factor signal recognition particle (SRP) interacts specifically with the signal anchor (SA) sequence in nascent inner membrane proteins (IMPs). Here, we have used photocross-linking to map interactions of the SA sequence in a short, in vitro–synthesized, nascent IMP. Both TF and SRP were found to interact with the SA with partially overlapping binding specificity. In addition, extensive contacts with L23 and L29 were detected. Both purified TF and SRP could be cross-linked to L23 on nontranslating ribosomes with a competitive advantage for SRP. The results suggest a role for L23 in the targeting of IMPs as an attachment site for TF and SRP that is close to the emerging nascent chain

Recognition of aminoacyl-tRNA: a common molecular mechanism revealed by cryo-EM

The accuracy of ribosomal translation is achieved by an initial selection and a proofreading step, mediated by EF-Tu, which forms a ternary complex with aminoacyl(aa)-tRNA. To study the binding modes of different aa-tRNAs, we compared cryo-EM maps of the kirromycin-stalled ribosome bound with ternary complexes containing Phe-tRNAPhe, Trp-tRNATrp, or Leu-tRNALeuI. The three maps suggest a common binding manner of cognate aa-tRNAs in their specific binding with both the ribosome and EF-Tu. All three aa-tRNAs have the same ‘loaded spring' conformation with a kink and twist between the D-stem and anticodon stem. The three complexes are similarly integrated in an interaction network, extending from the anticodon loop through h44 and protein S12 to the EF-Tu-binding CCA end of aa-tRNA, proposed to signal cognate codon–anticodon interaction to the GTPase centre and tune the accuracy of aa-tRNA selection

Transcriptional accuracy modeling suggests two-step proofreading by RNA polymerase

We suggest a novel two-step proofreading mechanism with two sequential rounds of proofreading selection in mRNA transcription. It is based on the previous experimental observations that the proofreading RNA polymerase cleaves off transcript fragments of at least 2 nt and that transcript elongation after a nucleotide misincorporation is anomalously slow. Taking these results into account, we extend the description of the accuracy of template guided nucleotide selection beyond previous models of RNA polymerase-dependent DNA transcription. The model derives the accuracy of initial and proofreading base selection from experimentally estimated nearest-neighbor parameters. It is also used to estimate the small accuracy enhancement of polymerase revisiting of previous positions following transcript cleavage

Fast Evaluation of Fluctuations in Biochemical Networks With the Linear Noise Approximation

Biochemical networks in single cells can display large fluctuations in molecule numbers, making mesoscopic approaches necessary for correct system descriptions. We present a general method that allows rapid characterization of the stochastic properties of intracellular networks. The starting point is a macroscopic description that identifies the system's elementary reactions in terms of rate laws and stoichiometries. From this formulation follows directly the stationary solution of the linear noise approximation (LNA) of the Master equation for all the components in the network. The method complements bifurcation studies of the system's parameter dependence by providing estimates of sizes, correlations, and time scales of stochastic fluctuations. We describe how the LNA can give precise system descriptions also near macroscopic instabilities by suitable variable changes and elimination of fast variables

Determinants of the Rate of mRNA Translocation in Bacterial Protein Synthesis

Studying the kinetics of translocation of mRNA and tRNAs on the translating ribosome is technically difficult since the rate-limiting steps involve large conformational changes without covalent bond formation or disruption. Here, we have developed a unique assay system for precise estimation of the full translocation cycle time at any position in any type of open reading frame (ORF). Using a buffer system optimized for high accuracy of tRNA selection together with high concentration of elongation factor G, we obtained in vivo compatible translocation rates. We found that translocation was comparatively slow early in the ORF and faster further downstream of the initiation codon. The maximal translocation rate decreased from the in vivo compatible value of 30 s(-1) at 1 mM free Mg2+ concentration to the detrimentally low value of 1 s(-1) at 6 mM free Mg2+ concentration. Thus, high and in vivo compatible accuracy of codon translation, as well as high and in vivo compatible translocation rate, required a remarkably low Mg2+ concentration. Finally, we found that the rate of translocation deep inside an ORF was not significantly affected upon variation of the standard free energy of interaction between a 6-nt upstream Shine-Dalgarno (SD)-like sequence and the anti-SD sequence of 16S rRNA in a range of 0-6 kcal/mol. Based on these experiments, we discuss the optimal choice of Mg2+ concentration for maximal fitness of the living cell by taking its effects on the accuracy of translation, the peptide bond formation rate and the translocation rate into account. (C) 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/)