A uniform response to mismatches in codon-anticodon complexes ensures ribosomal fidelity

A novel nuclear genetic code alteration in yeasts and the evolution of codon reassignment in eukaryotes

The genetic code is the cellular translation table for the conversion of nucleotide sequences into amino acid sequences. Changes to the meaning of sense codons would introduce errors into almost every translated message and are expected to be highly detrimental. However, reassignment of single or multiple codons in mitochondria and nuclear genomes, although extremely rare, demonstrates that the code can evolve. Several models for the mechanism of alteration of nuclear genetic codes have been proposed (including “codon capture,” “genome streamlining,” and “ambiguous intermediate” theories), but with little resolution. Here, we report a novel sense codon reassignment in Pachysolen tannophilus, a yeast related to the Pichiaceae. By generating proteomics data and using tRNA sequence comparisons, we show that Pachysolen translates CUG codons as alanine and not as the more usual leucine. The Pachysolen tRNA_CAG is an anticodon-mutated tRNA^Ala containing all major alanine tRNA recognition sites. The polyphyly of the CUG-decoding tRNAs in yeasts is best explained by a tRNA loss driven codon reassignment mechanism. Loss of the CUG-tRNA in the ancient yeast is followed by gradual decrease of respective codons and subsequent codon capture by tRNAs whose anticodon is not part of the aminoacyl-tRNA synthetase recognition region. Our hypothesis applies to all nuclear genetic code alterations and provides several testable predictions. We anticipate more codon reassignments to be uncovered in existing and upcoming genome projects.

Frameshifting dynamics

Translation of messenger RNA by a ribosome occurs three nucleotides at a time from start signal to stop. However, a frameshift means that some nucleotides are read twice or some are skipped, and the following sequence of amino acids is completely different from the sequence in the original frame. In some messenger RNAs, including viral RNAs, frameshifting is programmed with RNA signals to produce specific ratios of proteins vital to the replication of the organism. The mechanisms that cause frameshifting have been studied for many years, but there are no definitive conclusions. We review ribosome structure and dynamics in relation to frameshifting dynamics provided by classical ensemble studies, and by new single-molecule methods using optical tweezers and FRET.

Codon Bias as a Means to Fine-Tune Gene Expression

The redundancy of the genetic code implies that most amino acids are encoded by multiple synonymous codons. In all domains of life, a biased frequency of synonymous codons is observed at the genome level, in functionally related genes (e.g., in operons), and within single genes. Other codon bias variants include biased codon pairs and codon co-occurrence. Although translation initiation is the key step in protein synthesis, it is generally accepted that codon bias contributes to translation efficiency by tuning the elongation rate of the process. Moreover, codon bias plays an important role in controlling a multitude of cellular processes, ranging from differential protein production to protein folding. Here we review currently known types of codon bias and how they may influence translation. We discuss how understanding the principles of codon bias and translation can contribute to improved protein production and developments in synthetic biology.

Structural Basis for the Decoding Mechanism

The bacterial ribosome is a complex macromolecular machine that deciphers the genetic code with remarkable fidelity. During the elongation phase of protein synthesis, the ribosome selects aminoacyl-tRNAs as dictated by the canonical base pairing between the anticodon of the tRNA and the codon of the messenger RNA. The ribosome's participation in tRNA selection is active rather than passive, using conformational changes of conserved bases of 16S rRNA to directly monitor the geometry of codon-anticodon base pairing. The tRNA selection process is divided into an initial selection step and a subsequent proofreading step, with the utilization of two sequential steps increasing the discriminating power of the ribosome far beyond that which could be achieved based on the thermodynamics of codon-anticodon base pairing stability. The accuracy of decoding is impaired by a number of antibiotics and can be either increased or decreased by various mutations in either subunit of the ribosome, in elongation factor Tu, and in tRNA. In this chapter we will review our current understanding of various forces that determine the accuracy of decoding by the bacterial ribosome.

Protein Synthesis in E. coli: Dependence of Codon-Specific Elongation on tRNA Concentration and Codon Usage

To synthesize a protein, a ribosome moves along a messenger RNA (mRNA), reads it codon by codon, and takes up the corresponding ternary complexes which consist of aminoacylated transfer RNAs (aa-tRNAs), elongation factor Tu (EF-Tu), and GTP. During this process of translation elongation, the ribosome proceeds with a codon-specific rate. Here, we present a general theoretical framework to calculate codon-specific elongation rates and error frequencies based on tRNA concentrations and codon usages. Our theory takes three important aspects of in-vivo translation elongation into account. First, non-cognate, near-cognate and cognate ternary complexes compete for the binding sites on the ribosomes. Second, the corresponding binding rates are determined by the concentrations of free ternary complexes, which must be distinguished from the total tRNA concentrations as measured in vivo. Third, for each tRNA species, the difference between total tRNA and ternary complex concentration depends on the codon usages of the corresponding cognate and near-cognate codons. Furthermore, we apply our theory to two alternative pathways for tRNA release from the ribosomal E site and show how the mechanism of tRNA release influences the concentrations of free ternary complexes and thus the codon-specific elongation rates. Using a recently introduced method to determine kinetic rates of in-vivo translation from in-vitro data, we compute elongation rates for all codons in Escherichia coli. We show that for some tRNA species only a few tRNA molecules are part of ternary complexes and, thus, available for the translating ribosomes. In addition, we find that codon-specific elongation rates strongly depend on the overall codon usage in the cell, which could be altered experimentally by overexpression of individual genes.

Ribosome utilizes the minimum free energy changes to achieve the highest decoding rate and fidelity

The performance of ribosome translation can be characterized by two factors, the translation rate and fidelity. Here, we provide analytical studies of the effect of the near-cognate tRNAs on the two factors. It is shown that the increase of the concentration of the near-cognate tRNAs relative to that of the cognate tRNA has negative effects on the ribosome translation by reducing both the translation rate and the translation fidelity. The effect of the near-cognate ternary complexes on the translation rate results mainly from the initial selection phase, whereas the proofreading phase has a minor effect. By contrast, the effect of the near-cognate ternary complexes on the fidelity results almost equally from the two phases. By using two successive phases, the initial selection and the proofreading, the ribosome can achieve higher translation fidelity than the product of the fidelity when only the initial selection is included and when only the proofreading is included, especially at the large ratio of the concentration of the near-cognate tRNAs compared to that of the cognate tRNA. Moreover, we study the changes of the free energy landscape in the tRNA decoding step. It is found that the rate constants of the tRNA decoding step measured experimentally give the minimum energy changes for the ribosomal complex to attain the optimal performance with both the highest decoding rate and fidelity and/or with the maximum value of the decoding fitness function. This suggests that the ribosome has evolved to utilize the minimum free energy changes gained from the conformational changes of the ribosome, EF-Tu, and tRNA to achieve the optimal performance in the tRNA decoding.

Codon-Anticodon Recognition in the Bacillus subtilis glyQS T Box Riboswitch: RNA-DEPENDENT CODON SELECTION OUTSIDE THE RIBOSOME

Many amino acid-related genes in Gram-positive bacteria are regulated by the T box riboswitch. The leader RNA of genes in the T box family controls the expression of downstream genes by monitoring the aminoacylation status of the cognate tRNA. Previous studies identified a three-nucleotide codon, termed the "Specifier Sequence," in the riboswitch that corresponds to the amino acid identity of the downstream genes. Pairing of the Specifier Sequence with the anticodon of the cognate tRNA is the primary determinant of specific tRNA recognition. This interaction mimics codon-anticodon pairing in translation but occurs in the absence of the ribosome. The goal of the current study was to determine the effect of a full range of mismatches for comparison with codon recognition in translation. Mutations were individually introduced into the Specifier Sequence of the glyQS leader RNA and tRNA(Gly) anticodon to test the effect of all possible pairing combinations on tRNA binding affinity and antitermination efficiency. The functional role of the conserved purine 3' of the Specifier Sequence was also verifiedin this study. We found that substitutions at the Specifier Sequence resulted in reduced binding, the magnitude of which correlates well with the predicted stability of the RNA-RNA pairing. However, the tolerance for specific mismatches in antitermination was generally different from that during decoding, which reveals a unique tRNA recognition pattern in the T box antitermination system.

Accuracy of initial codon selection by aminoacyl-tRNAs on the mRNA-programmed bacterial ribosome

We used a cell-free system with pure Escherichia coli components to study initial codon selection of aminoacyl-tRNAs in ternary complex with elongation factor Tu and GTP on messenger RNA-programmed ribosomes. We took advantage of the universal rate-accuracy trade-off for all enzymatic selections to determine how the efficiency of initial codon readings decreased linearly toward zero as the accuracy of discrimination against near-cognate and wobble codon readings increased toward the maximal asymptote, the d value. We report data on the rate-accuracy variation for 7 cognate, 7 wobble, and 56 near-cognate codon readings comprising about 15% of the genetic code. Their d values varied about 400-fold in the 200-80,000 range depending on type of mismatch, mismatch position in the codon, and tRNA isoacceptor type. We identified error hot spots (d = 200) for U:G misreading in second and U:U or G:A misreading in third codon position by His-tRNA(His) and, as also seen in vivo, Glu-tRNA(Glu). We suggest that the proofreading mechanism has evolved to attenuate error hot spots in initial selection such as those found here.

Structural Insights into tRNA Dynamics on the Ribosome

High-resolution structures at different stages, as well as biochemical, single molecule and computational approaches have highlighted the elasticity of tRNA molecules when bound to the ribosome. It is well acknowledged that the inherent structural flexibility of the tRNA lies at the heart of the protein synthesis process. Here, we review the recent advances and describe considerations that the conformational changes of the tRNA molecules offer about the mechanisms grounded in translation.

Modeling the mechanisms of biological GTP hydrolysis

Enzymes that hydrolyze GTP are currently in the spotlight, due to their molecular switch mechanism that controls many cellular processes. One of the best-known classes of these enzymes are small GTPases such as members of the Ras superfamily, which catalyze the hydrolysis of the γ-phosphate bond in GTP. In addition, the availability of an increasing number of crystal structures of translational GTPases such as EF-Tu and EF-G have made it possible to probe the molecular details of GTP hydrolysis on the ribosome. However, despite a wealth of biochemical, structural and computational data, the way in which GTP hydrolysis is activated and regulated is still a controversial topic and well-designed simulations can play an important role in resolving and rationalizing the experimental data. In this review, we discuss the contributions of computational biology to our understanding of GTP hydrolysis on the ribosome and in small GTPases.

Ribosomes slide on lysine-encoding homopolymeric A stretches

Protein output from synonymous codons is thought to be equivalent if appropriate tRNAs are sufficiently abundant. Here we show that mRNAs encoding iterated lysine codons, AAA or AAG, differentially impact protein synthesis: insertion of iterated AAA codons into an ORF diminishes protein expression more than insertion of synonymous AAG codons. Kinetic studies in E. coli reveal that differential protein production results from pausing on consecutive AAA-lysines followed by ribosome sliding on homopolymeric A sequence. Translation in a cell-free expression system demonstrates that diminished output from AAA-codon-containing reporters results from premature translation termination on out of frame stop codons following ribosome sliding. In eukaryotes, these premature termination events target the mRNAs for Nonsense-Mediated-Decay (NMD). The finding that ribosomes slide on homopolymeric A sequences explains bioinformatic analyses indicating that consecutive AAA codons are under-represented in gene-coding sequences. Ribosome 'sliding' represents an unexpected type of ribosome movement possible during translation.

Another look at mutations in ribosomal protein S4 lends strong support to the domain closure model

Ribosomes employ a "kinetic discrimination" mechanism, in which correct substrates are incorporated more rapidly than incorrect ones. The structural basis of this mechanism may involve 30S domain closure, a global conformational change that coincides with codon recognition. In a direct screen for fidelity-altering mutations, Agarwal and coworkers (D. Agarwal, D. Kamath, S. T. Gregory, and M. O'Connor, J Bacteriol 197:1017-1025, 2015, doi:10.1128/JB.02485-14) isolated mutations that progressively truncate the C terminus of S4. All of these promote miscoding and undoubtedly destabilize the S4-S5 interface, consistent with the domain closure model.

Deducing the kinetics of protein synthesis in vivo from the transition rates measured in vitro

The molecular machinery of life relies on complex multistep processes that involve numerous individual transitions, such as molecular association and dissociation steps, chemical reactions, and mechanical movements. The corresponding transition rates can be typically measured in vitro but not in vivo. Here, we develop a general method to deduce the in-vivo rates from their in-vitro values. The method has two basic components. First, we introduce the kinetic distance, a new concept by which we can quantitatively compare the kinetics of a multistep process in different environments. The kinetic distance depends logarithmically on the transition rates and can be interpreted in terms of the underlying free energy barriers. Second, we minimize the kinetic distance between the in-vitro and the in-vivo process, imposing the constraint that the deduced rates reproduce a known global property such as the overall in-vivo speed. In order to demonstrate the predictive power of our method, we apply it to protein synthesis by ribosomes, a key process of gene expression. We describe the latter process by a codon-specific Markov model with three reaction pathways, corresponding to the initial binding of cognate, near-cognate, and non-cognate tRNA, for which we determine all individual transition rates in vitro. We then predict the in-vivo rates by the constrained minimization procedure and validate these rates by three independent sets of in-vivo data, obtained for codon-dependent translation speeds, codon-specific translation dynamics, and missense error frequencies. In all cases, we find good agreement between theory and experiment without adjusting any fit parameter. The deduced in-vivo rates lead to smaller error frequencies than the known in-vitro rates, primarily by an improved initial selection of tRNA. The method introduced here is relatively simple from a computational point of view and can be applied to any biomolecular process, for which we have detailed information about the in-vitro kinetics.

The proverb ‘life is motion’ also applies to the molecular scale. Indeed, if we looked into any living cell with molecular resolution, we would observe a large variety of highly dynamic processes. One particularly striking aspect of these dynamics is that all macromolecules within the cell are continuously synthesized, modified, and degraded by complex biomolecular machines. These ‘nanorobots’ follow intricate reaction pathways that form networks of molecular transitions or transformation steps. Each of these steps is stochastic and takes, on average, a certain amount of time. A fundamentally important question is how these individual step times or the corresponding transition rates determine the overall speed of the process in the cell. This question is difficult to answer, however, because the step times can only be measured in vitro but not in vivo. Here, we develop a general computational method by which one can deduce the individual step times in vivo from their in-vitro values. In order to demonstrate the predictive power of our method, we apply it to protein synthesis by ribosomes, a key process of gene expression, and validate the deduced step times by three independent sets of in-vivo data.

Measurement of average decoding rates of the 61 sense codons in vivo

Most amino acids can be encoded by several synonymous codons, which are used at unequal frequencies. The significance of unequal codon usage remains unclear. One hypothesis is that frequent codons are translated relatively rapidly. However, there is little direct, in vivo, evidence regarding codon-specific translation rates. In this study, we generate high-coverage data using ribosome profiling in yeast, analyze using a novel algorithm, and deduce events at the A- and P-sites of the ribosome. Different codons are decoded at different rates in the A-site. In general, frequent codons are decoded more quickly than rare codons, and AT-rich codons are decoded more quickly than GC-rich codons. At the P-site, proline is slow in forming peptide bonds. We also apply our algorithm to short footprints from a different conformation of the ribosome and find strong amino acid-specific (not codon-specific) effects that may reflect interactions with the exit tunnel of the ribosome.

DOI:http://dx.doi.org/10.7554/eLife.03735.001

Genes contain the instructions for making proteins from molecules called amino acids. These instructions are encoded in the order of the four building blocks that make up DNA, which are symbolized by the letters A, T, C, and G. The DNA of a gene is first copied to make a molecule of RNA, and then the letters in the RNA are read in groups of three (called ‘codons’) by a cellular machine called a ribosome. ‘Sense codons’ each specify one amino acid, and the ribosome decodes hundreds or thousands of these codons into a chain of amino acids to form a protein. ‘Stop codons’ do not encode amino acids but instead instruct the ribosome to stop building a protein when the chain is completed.

Most proteins are built from 20 different kinds of amino acid, but there are 61 sense codons. As such, up to six codons can code for the same amino acid. The multiple codons for a single amino acid, however, are not used equally in gene sequences—some are used much more often than others.

Now, Gardin, Yeasmin et al. have instantly halted the on-going processes of decoding genes and building proteins in yeast cells. Codons being translated into amino acids are trapped inside the ribosome; and codons that take the longest to decode are trapped most often. By using a computer algorithm, Gardin, Yeasmin et al. were able to measure just how often each kind of sense codon was trapped inside the ribosome and use this as a measure of how quickly each codon is decoded. The more often a given codon is used in a gene sequence, the less likely it was found to be trapped inside the ribosome—which suggests that these codons are decoded quicker than other codons and pass through the ribosome more quickly. Put another way, it appears that genes tend to use the codons that can be read the fastest.

Certain properties of a codon also affected its decoding speed. Codons with more As and Ts, for example, are decoded faster than codons with more Cs and Gs. Furthermore, whenever a chemically unusual amino acid called proline has to be added to a new protein chain, it slowed down the speed at which the protein was built. The method described by Gardin, Yeasmin et al. for peering into a decoding ribosome may now help future studies that aim to answer other questions about how proteins are built.

DOI:http://dx.doi.org/10.7554/eLife.03735.002

Mistranslation of the genetic code

During mRNA decoding at the ribosome, deviations from stringent codon identity, or "mistranslation," are generally deleterious and infrequent. Observations of organisms that decode some codons ambiguously, and the discovery of a compensatory increase in mistranslation frequency to combat environmental stress have changed the way we view "errors" in decoding. Modern tools for the study of the frequency and phenotypic effects of mistranslation can provide quantitative and sensitive measurements of decoding errors that were previously inaccessible. Mistranslation with non-protein amino acids, in particular, is an enticing prospect for new drug therapies and the study of molecular evolution.

Peptide formation by N-methyl amino acids in translation is hastened by higher pH and tRNA(Pro)

Applications of N-methyl amino acids (NMAAs) in drug discovery are limited by their low efficiencies of ribosomal incorporation, and little is known mechanistically about the steps leading to incorporation. Here, we demonstrate that a synthetic tRNA body based on a natural N-alkyl amino acid carrier, tRNA(Pro), increases translation incorporation rates of all three studied NMAAs compared with tRNA(Phe)- and tRNA(Ala)-based bodies. We also investigate the pH dependence of the incorporation rates and find that the rates increase dramatically in the range of pH 7 to 8.5 with the titration of a single proton. Results support a rate-limiting peptidyl transfer step dependent on deprotonation of the N-nucleophile of the NMAA. Competition experiments demonstrate that several futile cycles of delivery and rejection of A-site NMAA-tRNA are required per peptide bond formed and that increasing magnesium ion concentration increases incorporation yield. Data clarify the mechanism of ribosomal NMAA incorporation and provide three generalizable ways to improve incorporation of NMAAs in translation.

Flipping of the ribosomal A-site adenines provides a basis for tRNA selection

Ribosomes control the missense error rate of ~10(-4) during translation though quantitative contributions of individual mechanistic steps of the conformational changes yet to be fully determined. Biochemical and biophysical studies led to a qualitative tRNA selection model in which ribosomal A-site residues A1492 and A1493 (A1492/3) flip out in response to cognate tRNA binding, promoting the subsequent reactions, but not in the case of near-cognate or non-cognate tRNA. However, this model was recently questioned by X-ray structures revealing conformations of extrahelical A1492/3 and domain closure of the decoding center in both cognate and near-cognate tRNA bound ribosome complexes, suggesting that the non-specific flipping of A1492/3 has no active role in tRNA selection. We explore this question by carrying out molecular dynamics simulations, aided with fluorescence and NMR experiments, to probe the free energy cost of extrahelical flipping of 1492/3 and the strain energy associated with domain conformational change. Our rigorous calculations demonstrate that the A1492/3 flipping is indeed a specific response to the binding of cognate tRNA, contributing 3kcal/mol to the specificity of tRNA selection. Furthermore, the different A-minor interactions in cognate and near-cognate complexes propagate into the conformational strain and contribute another 4kcal/mol in domain closure. The recent structure of ribosome with features of extrahelical A1492/3 and closed domain in near-cognate complex is reconciled by possible tautomerization of the wobble base pair in mRNA-tRNA. These results quantitatively rationalize other independent experimental observations and explain the ribosomal discrimination mechanism of selecting cognate versus near-cognate tRNA.

Distinct functional classes of ram mutations in 16S rRNA

During decoding, the ribosome selects the correct (cognate) aminoacyl-tRNA (aa-tRNA) from a large pool of incorrect aa-tRNAs through a two-stage mechanism. In the initial selection stage, aa-tRNA is delivered to the ribosome as part of a ternary complex with elongation factor EF-Tu and GTP. Interactions between codon and anticodon lead to activation of the GTPase domain of EF-Tu and GTP hydrolysis. Then, in the proofreading stage, aa-tRNA is released from EF-Tu and either moves fully into the A/A site (a step termed "accommodation") or dissociates from the ribosome. Cognate codon-anticodon pairing not only stabilizes aa-tRNA at both stages of decoding but also stimulates GTP hydrolysis and accommodation, allowing the process to be both accurate and fast. In previous work, we isolated a number of ribosomal ambiguity (ram) mutations in 16S rRNA, implicating particular regions of the ribosome in the mechanism of decoding. Here, we analyze a representative subset of these mutations with respect to initial selection, proofreading, RF2-dependent termination, and overall miscoding in various contexts. We find that mutations that disrupt inter-subunit bridge B8 increase miscoding in a general way, causing defects in both initial selection and proofreading. Mutations in or near the A site behave differently, increasing miscoding in a codon-anticodon-dependent manner. These latter mutations may create spurious favorable interactions in the A site for certain near-cognate aa-tRNAs, providing an explanation for their context-dependent phenotypes in the cell.

Recognition of Watson-Crick base pairs: constraints and limits due to geometric selection and tautomerism

The natural bases of nucleic acids have a strong preference for one tautomer form, guaranteeing fidelity in their hydrogen bonding potential. However, base pairs observed in recent crystal structures of polymerases and ribosomes are best explained by an alternative base tautomer, leading to the formation of base pairs with Watson-Crick-like geometries. These observations set limits to geometric selection in molecular recognition of complementary Watson-Crick pairs for fidelity in replication and translation processes.

Structure-based energetics of mRNA decoding on the ribosome

The origin of high fidelity in bacterial protein synthesis on the ribosome remains a fundamental unsolved problem despite available three-dimensional structures of different stages of the translation process. However, these structures open up the possibility of directly computing the energetics of tRNA selection that is required for an authentic understanding of fidelity in decoding. Here, we report extensive computer simulations that allow us to quantitatively calculate tRNA discrimination and uncover the energetics underlying accuracy in code translation. We show that the tRNA-mRNA interaction energetics varies drastically along the path from initial selection to peptide bond formation. While the selection process is obviously controlled by kinetics, the underlying thermodynamics explains the origin of the high degree of accuracy. The existence of both low- and high-selectivity states provides an efficient mechanism for initial selection and proofreading that does not require codon-dependent long-range structural signaling within the ribosome. It is instead the distinctly unequal population of the high-selectivity states for cognate and noncognate substrates that is the key discriminatory factor. The simulations reveal the essential roles played both by the 30S subunit conformational switch and by the common tRNA modification at position 37 in amplifying the accuracy.

Hierarchy of RNA functional dynamics

RNA dynamics play a fundamental role in many cellular functions. However, there is no general framework to describe these complex processes, which typically consist of many structural maneuvers that occur over timescales ranging from picoseconds to seconds. Here, we classify RNA dynamics into distinct modes representing transitions between basins on a hierarchical free-energy landscape. These transitions include large-scale secondary-structural transitions at >0.1-s timescales, base-pair/tertiary dynamics at microsecond-to-millisecond timescales, stacking dynamics at timescales ranging from nanoseconds to microseconds, and other "jittering" motions at timescales ranging from picoseconds to nanoseconds. We review various modes within these three different tiers, the different mechanisms by which they are used to regulate function, and how they can be coupled together to achieve greater functional complexity.

New structural insights into the decoding mechanism: translation infidelity via a G·U pair with Watson-Crick geometry

Pioneer crystallographic studies of the isolated 30S ribosomal subunit provided the first structural insights into the decoding process. Recently, new crystallographic data on full 70S ribosomes with mRNA and tRNAs have shown that the formation of the tight decoding centre is ensured by conformational rearrangement of the 30S subunit (domain closure), which is identical for cognate or near-cognate tRNA. When a G·U forms at the first or second codon-anticodon positions (near-cognate tRNA), the ribosomal decoding centre forces the adoption of Watson-Crick G·C-like geometry rather than that of the expected Watson-Crick wobble pair. Energy expenditure for rarely occuring tautomeric base required for Watson-Crick G·C-like G·U pair or the repulsion energy due to steric clash within the mismatched base pair could constitute the only cause for efficient rejection of a near-cognate tRNA. Our data suggest that "geometrical mimicry" can explain how wrong aminoacyl-tRNAs with G·U pairs in the codon-anticodon helix forming base pairs with Watson-Crick geometry in the decoding center can be incorporated into the polypeptide chain.

Reorganization of an intersubunit bridge induced by disparate 16S ribosomal ambiguity mutations mimics an EF-Tu-bound state

After four decades of research aimed at understanding tRNA selection on the ribosome, the mechanism by which ribosomal ambiguity (ram) mutations promote miscoding remains unclear. Here, we present two X-ray crystal structures of the Thermus thermophilus 70S ribosome containing 16S rRNA ram mutations, G347U and G299A. Each of these mutations causes miscoding in vivo and stimulates elongation factor thermo unstable (EF-Tu)-dependent GTP hydrolysis in vitro. Mutation G299A is located near the interface of ribosomal proteins S4 and S5 on the solvent side of the subunit, whereas G347U is located 77 Å distant, at intersubunit bridge B8, close to where EF-Tu engages the ribosome. Despite these disparate locations, both mutations induce almost identical structural rearrangements that disrupt the B8 bridge--namely, the interaction of h8/h14 with L14 and L19. This conformation most closely resembles that seen upon EF-Tu-GTP-aminoacyl-tRNA binding to the 70S ribosome. These data provide evidence that disruption and/or distortion of B8 is an important aspect of GTPase activation. We propose that, by destabilizing B8, G299A and G347U reduce the energetic cost of attaining the GTPase-activated state and thereby decrease the stringency of decoding. This previously unappreciated role for B8 in controlling the decoding process may hold relevance for many other ribosomal mutations known to influence translational fidelity.

tRNA residues evolved to promote translational accuracy

The decoding properties of 22 structurally conservative base-pair and base-triple mutations in the anticodon hairpin and tertiary core of Escherichia coli tRNA(Ala)GGC were determined under single turnover conditions using E. coli ribosomes. While all of the mutations were able to efficiently decode the cognate GCC codon, many showed substantial misreading of near-cognate GUC or ACC codons. Although all the misreading mutations were present in the sequences of other E. coli tRNAs, they were never found among bacterial tRNA(Ala)GGC sequences. This suggests that the sequences of bacterial tRNA(Ala)GGC have evolved to avoid reading incorrect codons.

Depletion of cognate charged transfer RNA causes translational frameshifting within the expanded CAG stretch in huntingtin

Huntington disease (HD), a dominantly inherited neurodegenerative disorder caused by the expansion of a CAG-encoded polyglutamine (polyQ) repeat in huntingtin (Htt), displays a highly heterogeneous etiopathology and disease onset. Here, we show that the translation of expanded CAG repeats in mutant Htt exon 1 leads to a depletion of charged glutaminyl-transfer RNA (tRNA)(Gln-CUG) that pairs exclusively to the CAG codon. This results in translational frameshifting and the generation of various transframe-encoded species that differently modulate the conformational switch to nucleate fibrillization of the parental polyQ protein. Intriguingly, the frameshifting frequency varies strongly among different cell lines and is higher in cells with intrinsically lower concentrations of tRNA(Gln-CUG). The concentration of tRNA(Gln-CUG) also differs among different brain areas in the mouse. We propose that translational frameshifting may act as a significant disease modifier that contributes to the cell-selective neurotoxicity and disease course heterogeneity of HD on both cellular and individual levels.

A new understanding of the decoding principle on the ribosome

During protein synthesis, the ribosome accurately selects transfer RNAs (tRNAs) in accordance with the messenger RNA (mRNA) triplet in the decoding centre. tRNA selection is initiated by elongation factor Tu, which delivers tRNA to the aminoacyl tRNA-binding site (A site) and hydrolyses GTP upon establishing codon-anticodon interactions in the decoding centre. At the following proofreading step the ribosome re-examines the tRNA and rejects it if it does not match the A codon. It was suggested that universally conserved G530, A1492 and A1493 of 16S ribosomal RNA, critical for tRNA binding in the A site, actively monitor cognate tRNA, and that recognition of the correct codon-anticodon duplex induces an overall ribosome conformational change (domain closure). Here we propose an integrated mechanism for decoding based on six X-ray structures of the 70S ribosome determined at 3.1-3.4 Å resolution, modelling cognate or near-cognate states of the decoding centre at the proofreading step. We show that the 30S subunit undergoes an identical domain closure upon binding of either cognate or near-cognate tRNA. This conformational change of the 30S subunit forms a decoding centre that constrains the mRNA in such a way that the first two nucleotides of the A codon are limited to form Watson-Crick base pairs. When U·G and G·U mismatches, generally considered to form wobble base pairs, are at the first or second codon-anticodon position, the decoding centre forces this pair to adopt the geometry close to that of a canonical C·G pair. This by itself, or with distortions in the codon-anticodon mini-helix and the anticodon loop, causes the near-cognate tRNA to dissociate from the ribosome.

The busiest of all ribosomal assistants: elongation factor Tu

During translation, the nucleic acid language employed by genes is translated into the amino acid language used by proteins. The translator is the ribosome, while the dictionary employed is known as the genetic code. The genetic information is presented to the ribosome in the form of a mRNA, and tRNAs connect the two languages. Translation takes place in three steps: initiation, elongation, and termination. After a protein has been synthesized, the components of the translation apparatus are recycled. During each phase of translation, the ribosome collaborates with specific translation factors, which secure a proper balance between speed and fidelity. Notably, initiation, termination, and ribosomal recycling occur only once per protein produced during normal translation, while the elongation step is repeated a large number of times, corresponding to the number of amino acids constituting the protein of interest. In bacteria, elongation factor Tu plays a central role during the selection of the correct amino acids throughout the elongation phase of translation. Elongation factor Tu is the main subject of this review.

Evolutionary optimization of speed and accuracy of decoding on the ribosome

Speed and accuracy of protein synthesis are fundamental parameters for the fitness of living cells, the quality control of translation, and the evolution of ribosomes. The ribosome developed complex mechanisms that allow for a uniform recognition and selection of any cognate aminoacyl-tRNA (aa-tRNA) and discrimination against any near-cognate aa-tRNA, regardless of the nature or position of the mismatch. This review describes the principles of the selection-kinetic partitioning and induced fit-and discusses the relationship between speed and accuracy of decoding, with a focus on bacterial translation. The translational machinery apparently has evolved towards high speed of translation at the cost of fidelity.

Quality control of mRNA decoding on the bacterial ribosome

The ribosome is a major player in providing accurate gene expression in the cell. The fidelity of substrate selection is tightly controlled throughout the translation process, including the initiation, elongation, and termination phases. Although each phase of translation involves different players, that is, translation factors and tRNAs, the general principles of selection appear surprisingly similar for very different substrates. At essentially every step of translation, differences in complex stabilities as well as induced fit are sources of selectivity. A view starts to emerge of how the ribosome uses local and global conformational switches to govern induced-fit mechanisms that ensure fidelity. This review describes the mechanisms of tRNA and mRNA selection at all phases of protein synthesis in bacteria.

Genetic code translation displays a linear trade-off between efficiency and accuracy of tRNA selection

Rapid and accurate translation of the genetic code into protein is fundamental to life. Yet due to lack of a suitable assay, little is known about the accuracy-determining parameters and their correlation with translational speed. Here, we develop such an assay, based on Mg(2+) concentration changes, to determine maximal accuracy limits for a complete set of single-mismatch codon-anticodon interactions. We found a simple, linear trade-off between efficiency of cognate codon reading and accuracy of tRNA selection. The maximal accuracy was highest for the second codon position and lowest for the third. The results rationalize the existence of proofreading in code reading and have implications for the understanding of tRNA modifications, as well as of translation error-modulating ribosomal mutations and antibiotics. Finally, the results bridge the gap between in vivo and in vitro translation and allow us to calibrate our test tube conditions to represent the environment inside the living cell.

Potential for interdependent development of tRNA determinants for aminoacylation and ribosome decoding

Although the nucleotides in tRNA required for aminoacylation are conserved in evolution, bacterial aminoacyl-tRNA synthetases (aaRSs) are unable to acylate eukaryotic tRNA. The cross-species barrier may be due to the absence of eukaryote-specific domains from bacterial aaRSs. Here we show that while E. coli CysRS cannot acylate human tRNA^Cys, the fusion of a eukaryote-specific domain of human CysRS overcomes the cross-species barrier in human tRNA^Cys. In addition to enabling recognition of the sequence differences in the tertiary core of tRNA^Cys, the fused eukaryotic domain redirects the specificity of E. coli CysRS from the A37 present in bacterial tRNA^Cys to the G37 in mammals. Further experiments show that the accuracy of codon recognition on the ribosome was also highly sensitive to the A37-to-G37 transition in tRNA^Cys. These results raise the possibility of the development of tRNA nucleotide determinants for aminoacylation being interdependent with those for ribosome decoding.

Structural insights into cognate versus near-cognate discrimination during decoding

The structural basis of the tRNA selection process is investigated by cryo-electron microscopy of ribosomes programmed with UGA codons and incubated with ternary complex (TC) containing the near-cognate Trp-tRNA(Trp) in the presence of kirromycin. Going through more than 350 000 images and employing image classification procedures, we find ∼8% in which the TC is bound to the ribosome. The reconstructed 3D map provides a means to characterize the arrangement of the near-cognate aa-tRNA with respect to elongation factor Tu (EF-Tu) and the ribosome, as well as the domain movements of the ribosome. One of the interesting findings is that near-cognate tRNA's acceptor stem region is flexible and CCA end becomes disordered. The data bring direct structural insights into the induced-fit mechanism of decoding by the ribosome, as the analysis of the interactions between small and large ribosomal subunit, aa-tRNA and EF-Tu and comparison with the cognate case (UGG codon) offers clues on how the conformational signals conveyed to the GTPase differ in the two cases.

Distortion of tRNA upon near-cognate codon recognition on the ribosome

The accurate decoding of the genetic information by the ribosome relies on the communication between the decoding center of the ribosome, where the tRNA anticodon interacts with the codon, and the GTPase center of EF-Tu, where GTP hydrolysis takes place. In the A/T state of decoding, the tRNA undergoes a large conformational change that results in a more open, distorted tRNA structure. Here we use a real-time transient fluorescence quenching approach to monitor the timing and the extent of the tRNA distortion upon reading cognate or near-cognate codons. The tRNA is distorted upon codon recognition and remains in that conformation until the tRNA is released from EF-Tu, although the extent of distortion gradually changes upon transition from the pre- to the post-hydrolysis steps of decoding. The timing and extent of the rearrangement is similar on cognate and near-cognate codons, suggesting that the tRNA distortion alone does not provide a specific switch for the preferential activation of GTP hydrolysis on the cognate codon. Thus, although the tRNA plays an active role in signal transmission between the decoding and GTPase centers, other regulators of signaling must be involved.

Missense suppressor mutations in 16S rRNA reveal the importance of helices h8 and h14 in aminoacyl-tRNA selection

The molecular basis of the induced-fit mechanism that determines the fidelity of protein synthesis remains unclear. Here, we isolated mutations in 16S rRNA that increase the rate of miscoding and stop codon read-through. Many of the mutations clustered along interfaces between the 30S shoulder domain and other parts of the ribosome, strongly implicating shoulder movement in the induced-fit mechanism of decoding. The largest subset of mutations mapped to helices h8 and h14. These helices interact with each other and with the 50S subunit to form bridge B8. Previous cryo-EM studies revealed a contact between h14 and the switch 1 motif of EF-Tu, raising the possibility that h14 plays a direct role in GTPase activation. To investigate this possibility, we constructed both deletions and insertions in h14. While ribosomes harboring a 2-base-pair (bp) insertion in h14 were completely inactive in vivo, those containing a 2-bp deletion retained activity but were error prone. In vitro, the truncation of h14 accelerated GTP hydrolysis for EF-Tu bearing near-cognate aminoacyl-tRNA, an effect that can largely account for the observed miscoding in vivo. These data show that h14 does not help activate EF-Tu but instead negatively controls GTP hydrolysis by the factor. We propose that bridge B8 normally acts to counter inward rotation of the shoulder domain; hence, mutations in h8 and h14 that compromise this bridge decrease the stringency of aminoacyl-tRNA selection.

Kinetic basis for global loss of fidelity arising from mismatches in the P-site codon:anticodon helix

Faithful decoding of the genetic information by the ribosome relies on kinetically driven mechanisms that promote selection of cognate substrates during elongation. Recently, we have shown that in addition to these kinetically driven mechanisms, the ribosome possesses a post peptidyl transfer quality control system that retrospectively monitors the codon-anticodon interaction in the P site, triggering substantial losses in the specificity of the A site during subsequent tRNA and RF selection when a mistake has occurred. Here, we report a detailed kinetic analysis of tRNA selection in the context of a mismatched P-site codon:anticodon interaction. We observe pleiotropic effects of a P-site mismatch on tRNA selection, such that near-cognate tRNA is processed by the ribosome almost as efficiently as cognate. In particular, after a miscoding event, near-cognate codon-anticodon complexes are stabilized on the ribosome to an extent similar to that observed for cognate ones. Moreover, the two observed forward rates of GTPase activation and accommodation are greatly accelerated (∼10-fold) for near-cognate tRNAs. Because the ensemble of effects of a mismatched P site on substrate selection were found to be different from those reported for other ribosomal perturbations and miscoding agents, we propose that the structural integrity of the mRNA-tRNA helix in the P site provides a distinct molecular switch that dictates the specificity of the A site.

Optimization of speed and accuracy of decoding in translation

The speed and accuracy of protein synthesis are fundamental parameters for understanding the fitness of living cells, the quality control of translation, and the evolution of ribosomes. In this study, we analyse the speed and accuracy of the decoding step under conditions reproducing the high speed of translation in vivo. We show that error frequency is close to 10⁻³, consistent with the values measured in vivo. Selectivity is predominantly due to the differences in k(cat) values for cognate and near-cognate reactions, whereas the intrinsic affinity differences are not used for tRNA discrimination. Thus, the ribosome seems to be optimized towards high speed of translation at the cost of fidelity. Competition with near- and non-cognate ternary complexes reduces the rate of GTP hydrolysis in the cognate ternary complex, but does not appreciably affect the rate-limiting tRNA accommodation step. The GTP hydrolysis step is crucial for the optimization of both the speed and accuracy, which explains the necessity for the trade-off between the two fundamental parameters of translation.

A comprehensive analysis of translational missense errors in the yeast Saccharomyces cerevisiae

The process of protein synthesis must be sufficiently rapid and sufficiently accurate to support continued cellular growth. Failure in speed or accuracy can have dire consequences, including disease in humans. Most estimates of the accuracy come from studies of bacterial systems, principally Escherichia coli, and have involved incomplete analysis of possible errors. We recently used a highly quantitative system to measure the frequency of all types of misreading errors by a single tRNA in E. coli. That study found a wide variation in error frequencies among codons; a major factor causing that variation is competition between the correct (cognate) and incorrect (near-cognate) aminoacyl-tRNAs for the mutant codon. Here we extend that analysis to measure the frequency of missense errors by two tRNAs in a eukaryote, the yeast Saccharomyces cerevisiae. The data show that in yeast errors vary by codon from a low of 4 x 10(-5) to a high of 6.9 x 10(-4) per codon and that error frequency is in general about threefold lower than in E. coli, which may suggest that yeast has additional mechanisms that reduce missense errors. Error rate again is strongly influenced by tRNA competition. Surprisingly, missense errors involving wobble position mispairing were much less frequent in S. cerevisiae than in E. coli. Furthermore, the error-inducing aminoglycoside antibiotic, paromomycin, which stimulates errors on all error-prone codons in E. coli, has a more codon-specific effect in yeast.

Polyamines accelerate codon recognition by transfer RNAs on the ribosome

The selection of aminoacyl-tRNAs by the ribosome is a fundamental step in the elongation cycle of protein synthesis. tRNA selection is a multistep process that ensures only correct aminoacyl-tRNAs are accepted while incorrect aminoacyl-tRNAs are rejected. A key step in tRNA selection is the formation of base pairs between the anticodon of the aminoacyl-tRNA and the mRNA codon in the A site, called "codon recognition". Here, we report the development of a new, fluorescence-based, kinetic assay for monitoring codon recognition by the ribosome. Using this assay, we show that codon recognition is a second-order binding step under optimal conditions. Additionally, we show that at low Mg(2+) concentrations, the polyamines spermine and spermidine stimulate codon recognition by the ribosome without a loss of fidelity. Polyamines may accelerate codon recognition by altering the structure and dynamics of the anticodon arm of the aminoacyl-tRNA.

Structural rearrangements of the ribosome at the tRNA proofreading step

Discrimination of tRNA on the ribosome occurs in two consecutive steps: initial selection and proofreading. Here we propose a proofreading mechanism based on comparison of crystal structures of the 70S ribosome with an empty A site or with the A site occupied by uncharged cognate or near-cognate tRNA. We observe that ribosomal proteins S13, S19, L16, L25, L27 and L31 are actively involved in the proofreading of tRNA. We suggest that proofreading begins with the monitoring of the entire anticodon loop of tRNA by nucleotides from 16S rRNA (helices 18 and 44) of the small subunit and 23S rRNA (helix 69) of the large subunit with involvement of magnesium ions. Subsequently, the elbow region is scanned by rRNA (helices 38 and 89) and proteins from the large subunit determining whether to accommodate the acceptor end of tRNA in the peptidyl transferase center or not.

Hyperaccurate and error-prone ribosomes exploit distinct mechanisms during tRNA selection

Escherichia coli strains displaying hyperaccurate (restrictive) and ribosomal ambiguity (ram) phenotypes have long been associated with alterations in rpsL and rpsD/rpsE, respectively. Crystallographic evidence shows the ribosomal proteins S12 and S4/S5 (corresponding to these genes) to be located in separate regions of the small ribosomal subunit that are important for domain closure thought to take place during tRNA selection. Mechanistically, the process of tRNA selection is separated into two distinct phases, initial selection and proofreading. Here, we explore the effects of mutations in rpsL and rpsD on these steps. Surprisingly, both restrictive and ram ribosomes primarily affect tRNA selection through alteration of the off rates of the near-cognate tRNA species but during distinct phases of the overall process (proofreading and initial selection, respectively). These observations suggest that closure interfaces (S12/h27/h44 versus S4/S5) in two distinct regions of the small ribosomal subunit function independently to promote high-fidelity tRNA selection.

Conformational sampling of aminoacyl-tRNA during selection on the bacterial ribosome

Aminoacyl-tRNA (aa-tRNA), in a ternary complex with elongation factor-Tu and GTP, enters the aminoacyl (A) site of the ribosome via a multi-step, mRNA codon-dependent mechanism. This process gives rise to the preferential selection of cognate aa-tRNAs for each mRNA codon and, consequently, the fidelity of gene expression. The ribosome actively facilitates this process by recognizing structural features of the correct substrate, initiated in its decoding site, to accelerate the rates of elongation factor-Tu-catalyzed GTP hydrolysis and ribosome-catalyzed peptide bond formation. Here, the order and timing of conformational events underpinning the aa-tRNA selection process were investigated from multiple structural perspectives using single-molecule fluorescence resonance energy transfer. The time resolution of these measurements was extended to 2.5 and 10 ms, a 10- to 50-fold improvement over previous studies. The data obtained reveal that aa-tRNA undergoes fast conformational sampling within the A site, both before and after GTP hydrolysis. This suggests that the alignment of aa-tRNA with respect to structural elements required for irreversible GTP hydrolysis and peptide bond formation plays a key role in the fidelity mechanism. These observations provide direct evidence that the selection process is governed by motions of aa-tRNA within the A site, adding new insights into the physical framework that helps explain how the rates of GTP hydrolysis and peptide bond formation are controlled by the mRNA codon and other fidelity determinants within the system.

The influence of anticodon-codon interactions and modified bases on codon usage bias in bacteria

Most transfer RNAs (tRNAs) can translate more than one synonymous codon, and most codons can be translated by more than one isoacceptor tRNA. The rates of translation of synonymous codons are dependent on the concentrations of the tRNAs and on the rates of pairing of each anticodon-codon combination. Translational selection causes a significant bias in codon frequencies in highly expressed genes in most bacteria. By comparing codon frequencies in high and low-expression genes, we determine which codons are preferred for each amino acid in a large sample of bacterial genomes. We relate this to the number of copies of each tRNA gene in each genome. In two-codon families, preferred codons have Watson-Crick pairs (GC and AU) between the third codon base and the wobble base of the anticodon rather than GU pairs. This suggests that these combinations are more rapidly recognized by the ribosome. In contrast, in four-codon families, preferred codons do not correspond to Watson-Crick rules. In some cases, a wobble-U tRNA can pair with all four codons. In these cases, A and U codons are preferred over G and C. This indicates that the nonstandard UU combination appears to be translated surprisingly well. Differences in modified bases at the wobble position of the anticodon appear to be responsible for the differences in behavior of tRNAs in two- and four-codon families. We discuss the way changes in the bases in the anticodon influence both the speed and the accuracy of translation. The number of tRNA gene copies and the strength of translational selection correlate with the growth rate of the organism, as we would expect if the primary cause of translational selection in bacteria is the requirement to optimize the speed of protein production.

Elongation in translation as a dynamic interaction among the ribosome, tRNA, and elongation factors EF-G and EF-Tu

The ribosome is a complex macromolecular machine that translates the message encoded in the messenger RNA and synthesizes polypeptides by linking the individual amino acids carried by the cognate transfer RNAs (tRNAs). The protein elongation cycle, during which the tRNAs traverse the ribosome in a coordinated manner along a path of more than 100 A, is facilitated by large-scale rearrangements of the ribosome. These rearrangements go hand in hand with conformational changes of tRNA as well as elongation factors EF-Tu and EF-G - GTPases that catalyze tRNA delivery and translocation, respectively. This review focuses on the structural data related to the dynamics of the ribosomal machinery, which are the basis, in conjunction with existing biochemical, kinetic, and fluorescence resonance energy transfer data, of our knowledge of the decoding and translocation steps of protein elongation.

Structure and dynamics of a processive Brownian motor: the translating ribosome

There is mounting evidence indicating that protein synthesis is driven and regulated by mechanisms that direct stochastic, large-scale conformational fluctuations of the translational apparatus. This mechanistic paradigm implies that a free-energy landscape governs the conformational states that are accessible to and sampled by the translating ribosome. This scenario presents interdependent opportunities and challenges for structural and dynamic studies of protein synthesis. Indeed, the synergism between cryogenic electron microscopic and X-ray crystallographic structural studies, on the one hand, and single-molecule fluorescence resonance energy transfer (smFRET) dynamic studies, on the other, is emerging as a powerful means for investigating the complex free-energy landscape of the translating ribosome and uncovering the mechanisms that direct the stochastic conformational fluctuations of the translational machinery. In this review, we highlight the principal insights obtained from cryogenic electron microscopic, X-ray crystallographic, and smFRET studies of the elongation stage of protein synthesis and outline the emerging themes, questions, and challenges that lie ahead in mechanistic studies of translation.

The ribosome goes Nobel

The award of this year's Nobel Prize in Chemistry to Ada E. Yonath, Venkatraman Ramakrishnan and Thomas A. Steitz honors their breakthrough achievement in determining the atomic structure of the ribosome.