Fine tuning of ribosomal accuracy

Codon influence on protein expression in E. coli correlates with mRNA levels

Degeneracy in the genetic code, which enables a single protein to be encoded by a multitude of synonymous gene sequences, has an important role in regulating protein expression, but substantial uncertainty exists concerning the details of this phenomenon. Here we analyse the sequence features influencing protein expression levels in 6,348 experiments using bacteriophage T7 polymerase to synthesize messenger RNA in Escherichia coli. Logistic regression yields a new codon-influence metric that correlates only weakly with genomic codon-usage frequency, but strongly with global physiological protein concentrations and also mRNA concentrations and lifetimes in vivo. Overall, the codon content influences protein expression more strongly than mRNA-folding parameters, although the latter dominate in the initial ~16 codons. Genes redesigned based on our analyses are transcribed with unaltered efficiency but translated with higher efficiency in vitro. The less efficiently translated native sequences show greatly reduced mRNA levels in vivo. Our results suggest that codon content modulates a kinetic competition between protein elongation and mRNA degradation that is a central feature of the physiology and also possibly the regulation of translation in E. coli.

Specificity of cell-cell adhesion by classical cadherins: Critical role for low-affinity dimerization through beta-strand swapping

Cadherins constitute a family of cell-surface proteins that mediate intercellular adhesion through the association of protomers presented from juxtaposed cells. Differential cadherin expression leads to highly specific intercellular interactions in vivo. This cell-cell specificity is difficult to understand at the molecular level because individual cadherins within a given subfamily are highly similar to each other both in sequence and structure, and they dimerize with remarkably low binding affinities. Here, we provide a molecular model that accounts for these apparently contradictory observations. The model is based in part on the fact that cadherins bind to one another by "swapping" the N-terminal beta-strands of their adhesive domains. An inherent feature of strand swapping (or, more generally, the domain swapping phenomenon) is that "closed" monomeric conformations act as competitive inhibitors of dimer formation, thus lowering affinities even when the dimer interface has the characteristics of high-affinity complexes. The model describes quantitatively how small affinity differences between low-affinity cadherin dimers are amplified by multiple cadherin interactions to establish large specificity effects at the cellular level. It is shown that cellular specificity would not be observed if cadherins bound with high affinities, thus emphasizing the crucial role of strand swapping in cell-cell adhesion. Numerical estimates demonstrate that the strength of cellular adhesion is extremely sensitive to the concentration of cadherins expressed at the cell surface. We suggest that the domain swapping mechanism is used by a variety of cell-adhesion proteins and that related mechanisms to control affinity and specificity are exploited in other systems.

How B cells and dendritic cells may cooperate in antigen purification

The specificity of the immunological responses is achieved through the cooperation of three classes of cells: B and T lymphocytes, and dendritic cells (DCs). A critical, intensely studied interaction is that between DCs and T cells, during which the DC presents MHC-bound antigenic fragments to the T cell receptor (TCR). There has been recent excitement about the possibility of increasing the signal-to-noise ratio in the detection of cognate antigen-TCR couples, by the use of kinetic proofreading mechanisms. We examine here the signal-to-noise problem in a broader perspective, and in particular, address the question of possible "antigen purification" mechanisms, prior to their presentation to the T cells. Ways in which the DCs might concentrate, purify and preserve their load of captured antigens are considered: (i) If antigens can be transferred from one DC to another, in such a way that the richer a DC in antigen, the more it captures antigens from other DCs, the antigens may end up concentrated in a small subset of DCs, (ii) antigen purification may be achieved through recycling interactions between DCs and B cells. A DC would transmit to a B cell antigen mixtures, and the DC would recapture only the antigens which can bind to the B cell's antibodies and (iii) dendrites, when they are present, may play an essential role in recapturing the antigens that were used in interactions of DCs with T cells, B cells, or other DCs, thereby reducing antigen losses. More generally, we provide a personal interpretation of cell-to-cell antigen transfers, in terms of a strategy in which there is a progressive emergence, through multiple interactions, of subsets of cells of each type better and better prepared for the subsequent rounds of interactions.

Charging levels of four tRNA species in Escherichia coli Rel(+) and Rel(-) strains during amino acid starvation: a simple model for the effect of ppGpp on translational accuracy

Escherichia coli strains mutated in the relA gene lack the ability to produce ppGpp during amino acid starvation. One consequence of this deficiency is a tenfold increase in misincorporation at starved codons compared to the wild-type. Previous work had shown that the charging levels of tRNAs were the same in Rel(+) and Rel(-) strains and reduced, at most, two- to fivefold in both strains during starvation. The present reinvestigation of the charging levels of tRNA(2)(Arg), tRNA(1)(Thr), tRNA(1)(Leu) and tRNA(His) during starvation of isogenic Rel(+) and Rel(-) strains showed that starvation reduced charging levels tenfold to 40-fold. This reduction corresponds much better with the decreased rate of protein synthesis during starvation than that reported earlier. The determination of the charging levels of tRNA(2)(Arg) and tRNA(1)(Thr) during starvation were accurate enough to demonstrate that charging levels were at least fivefold lower in the Rel(-) strain compared to the Rel(+) strain. Together with other data from the literature, these new data suggest a simple model in which mis-incorporation increases as the substrate availability decreases and that ppGpp has no direct effect on enhancing translational accuracy at the ribosome.

How does ppGpp affect translational accuracy in the stringent response?

With an in vitro poly(Phe) synthesis system we have tested recent models concerning translational accuracy in the stringent response during aminoacid starvation. We have found that cognate, deacylated tRNA of very high concentrations is unable to block the A-site. No influence of EF-Tu.ppGpp on ribosomal proofreading has been found. Alternative mechanisms to keep translational errors low by the stringent response are discussed.

The role of RNA polymerase in transcriptional fidelity

The overall transcription of DNA has previously been demonstrated to proceed at extremely high levels of accuracy. We review the evidence that the process of transcription is subject to proof-reading in the Hopfield sense. In addition, we speculate that the proof-reading activity associated with transcription is subject to cyclical phase transitions. That is, during periods of low processivity associated with initiation, RNA synthesis is relatively imprecise. The transition to the elongation phase of RNA synthesis, characterized by a shift to high processivity, is accompanied by enhanced proof-reading. A model for the damping of transcriptional errors, based on a PPi-mediated processive pyrophosphorolysis reaction, is discussed in terms of pausing during transcription.

Abortive intermediates in transcription by wheat-germ RNA polymerase II. Dynamic aspects of enzyme/template interactions in selection of the enzyme synthetic mode

At constant enzyme concentration and with the full set of nucleotide substrates dictated by template sequence, the chain-length distribution of polymeric product varies with template concentration in reactions catalysed by wheat-germ RNA polymerase II. Under the same conditions, but in the presence of a single ribonucleoside triphosphate, the rate of condensation of the triphosphate substrate to a dinucleotide primer also exhibits a complex dependence with the template concentration. This effect is observed using poly[d(A-T)] as a template. For both reactions there are two extreme types of behaviour in each of which transcription appears to involve a single enzyme synthetic mode, characterized by either a high (at low template concentration) or a low (at high template concentration) probability of releasing the transcripts. A strong correlation is found between these two pathways, such that conditions favouring the abortive release of trinucleotide products in the single-step addition reaction are associated with the synthesis of short-length RNA species in productive elongation, and reciprocally. A model previously developed by Papanicolaou, Lecomte & Ninio [(1986) J. Mol. Biol. 189, 435-448] to account for the kinetics of polymerization/excision ratios with Escherichia coli DNA polymerase I, and by Job, Soulié, Job & Shire [(1988) J. Theor. Biol. 134, 273-289] for kinetics of RNA-chain elongation by wheat-germ RNA polymerase II provides an explanation for the observed behaviour with the plant transcriptase. The basic requirement of this model is a slow equilibrium between two states of the polymerization complex with distinct probabilities of releasing the product. In the presence of Mn2+, and under conditions allowing the synthesis of poly[r(A-U)], one of these states is involved in the formation of oligonucleotides shorter than 15 bases, whereas the other catalyses the polymerization of chains longer than 40 bases.

Potential memory and hysteretic effects in transcription

Kinetic results of RNA-chain elongation catalysed by wheat-germ RNA polymerase II are analysed according to the concept that DNA-dependent conformational transitions of the transcription complex intervene during transcription. A model is presented, involving participation of several forms of the transcription complex with different catalytic properties, generated by the sequence and/or conformation of the DNA template and/or the experimental conditions. The available experimental data suggest that these forms are interconvertible. Examples in which hysteretic transitions might occur are outlined, such as termination of transcription and transition from abortive to productive elongation in the first steps of RNA synthesis. The slow catalytic adaptation of the transcription complex to the template sequence might be a more general phenomenon for enzyme systems acting on polynucleotide templates, in view of the recent proposal that enzyme memory effects may also have some importance in DNA replication and messenger RNA (mRNA) translation.

Maintenance of accuracy during amino acid starvation

The kinetics of the tRNA cycle is in itself capable of keeping the translational error level almost unaffected by amino acid starvation. There is no need to assume any yet unknown mechanism or property. Kinetic analysis shows that the concentration of aminoacyl-tRNA can stay high even for large reductions in aminoacylation, since the pool of uncharged tRNA normally is very small. An enhanced binding of uncharged tRNA to the ribosome could increase the effect and produce an extremely efficient error damping. A similar result is obtained when EF-Tu is partially inhibited by ppGpp.

Theoretical modelling of protein synthesis

This article provides an overview of the use of mathematical and computer modelling in furthering the understanding of protein synthesis. In particular, we discuss issues such as the nature of the rate limiting step(s), error rates, tRNA-codon adaptation, codon bias, attenuation control, and problems of selection and error corrections, focussing on their theoretical treatment.

Alternative to the steady-state method: derivation of reaction rates from first-passage times and pathway probabilities

An alternative method for deriving rate equations in enzyme kinetics is presented. An enzyme is followed as it moves along the various pathways allowed by the reaction scheme. The times spent in various sections of the scheme and the pathway probabilities are computed, using simple rules. The rate equation obtains as a function of times and probabilities. The results are equivalent to those provided by the steady-state formalism. While the latter applies uniformly to all schemes, the formalism presented here requires adaptation to each additional class of schemes. However, it has the merit of allowing one to leave unspecified many details of the scheme, including topological ones. Furthermore, it allows one to decompose a scheme into subschemes, analyze the parts separately, and use the intermediate results to derive the rate equation of the complete scheme. The method is applied here to derive general equations for one- and two-entry site enzymes.

Co-operativity in monomeric enzymes

It has been known for at least 20 years that monomeric enzymes can in principle show kinetic behaviour similar in appearance to the binding of ligands to oligomeric proteins in which there are co-operative interactions between multiple binding sites. However, the initial lack of experimental examples of kinetic co-operativity suggested that in nature co-operativity always arose from interactions between binding sites. Now, however, several examples are known, most of which cannot be explained in terms of multiple binding sites on one polypeptide chain. All current theoretical models for monomeric co-operativity postulate that it arises from the presence in the mechanism of parallel pathways for substrate binding that are slow compared with the possible rate of the catalytic reaction. Rapid removal of the intermediates produced in the slow steps prevents them from approaching equilibrium and allows the appearance of kinetic properties that would not be possible in systems at equilibrium.

Uncharged tRNA error damping model

Uncharged tRNA is known to bind to the ribosome in a codon-specific fashion. In this way, cognate uncharged tRNA competes with non-cognate aminoacyl-tRNA. If uncharged tRNA can be aminoacylated while on the ribosome, this will damp errors due to aminoacyl-tRNA imbalance. Kinetic analysis shows that this scheme reduces errors at 'hungry' codons considerably more effectively than J. Ninio's accuracy tuner model; for example, a 10-fold decrease in cognate aminoacyl-tRNA elicits only a 10% increase in the error frequency.