Near-cognate tRNA Research Articles

Codon Bias Patterns of E. coli's Interacting Proteins.

Synonymous codons, i.e., DNA nucleotide triplets coding for the same amino acid, are used differently across the variety of living organisms. The biological meaning of this phenomenon, known as codon usage bias, is still controversial. In order to shed light on this point, we propose a new codon bias index, CompAI, that is based on the competition between cognate and near-cognate tRNAs during translation, without being tuned to the usage bias of highly expressed genes. We perform a genome-wide evaluation of codon bias for E.coli, comparing CompAI with other widely used indices: tAI, CAI, and Nc. We show that CompAI and tAI capture similar information by being positively correlated with gene conservation, measured by the Evolutionary Retention Index (ERI), and essentiality, whereas, CAI and Nc appear to be less sensitive to evolutionary-functional parameters. Notably, the rate of variation of tAI and CompAI with ERI allows to obtain sets of genes that consistently belong to specific clusters of orthologous genes (COGs). We also investigate the correlation of codon bias at the genomic level with the network features of protein-protein interactions in E.coli. We find that the most densely connected communities of the network share a similar level of codon bias (as measured by CompAI and tAI). Conversely, a small difference in codon bias between two genes is, statistically, a prerequisite for the corresponding proteins to interact. Importantly, among all codon bias indices, CompAI turns out to have the most coherent distribution over the communities of the interactome, pointing to the significance of competition among cognate and near-cognate tRNAs for explaining codon usage adaptation. Notably, CompAI may potentially correlate with translation speed measurements, by accounting for the specific delay induced by wobble-pairing between codons and anticodons.

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.

Translation initiation factor eIF3 promotes programmed stop codon readthrough

Programmed stop codon readthrough is a post-transcription regulatory mechanism specifically increasing proteome diversity by creating a pool of C-terminally extended proteins. During this process, the stop codon is decoded as a sense codon by a near-cognate tRNA, which programs the ribosome to continue elongation. The efficiency of competition for the stop codon between release factors (eRFs) and near-cognate tRNAs is largely dependent on its nucleotide context; however, the molecular mechanism underlying this process is unknown. Here, we show that it is the translation initiation (not termination) factor, namely eIF3, which critically promotes programmed readthrough on all three stop codons. In order to do so, eIF3 must associate with pre-termination complexes where it interferes with the eRF1 decoding of the third/wobble position of the stop codon set in the unfavorable termination context, thus allowing incorporation of near-cognate tRNAs with a mismatch at the same position. We clearly demonstrate that efficient readthrough is enabled by near-cognate tRNAs with a mismatch only at the third/wobble position. Importantly, the eIF3 role in programmed readthrough is conserved between yeast and humans.

Nonsense suppression by near-cognate tRNAs employs alternative base pairing at codon positions 1 and 3

Premature termination codons (PTCs) in an mRNA ORF inactivate gene function by causing production of a truncated protein and destabilization of the mRNA. Readthrough of a PTC allows ribosomal A-site insertion of a near-cognate tRNA, leading to synthesis of a full-length protein from otherwise defective mRNA. To understand the mechanism of such nonsense suppression, we developed a yeast system that allows purification and sequence analysis of full-length readthrough products arising as a consequence of endogenous readthrough or the compromised termination fidelity attributable to the loss of Upf (up-frameshift) factors, defective release factors, or the presence of the aminoglycoside gentamicin. Unlike classical "wobble" models, our analyses showed that three of four possible near-cognate tRNAs could mispair at position 1 or 3 of nonsense codons and that, irrespective of whether readthrough is endogenous or induced, the same sets of amino acids are inserted. We identified the insertion of Gln, Tyr, and Lys at UAA and UAG, whereas Trp, Arg, and Cys were inserted at UGA, and the frequency of insertion of individual amino acids was distinct for specific nonsense codons and readthrough-inducing agents. Our analysis suggests that the use of genetic or chemical means to increase readthrough does not promote novel or alternative mispairing events; rather, readthrough effectors cause quantitative enhancement of endogenous mistranslation events. Knowledge of the amino acids incorporated during readthrough not only elucidates the decoding process but also may allow predictions of the functionality of readthrough protein products.

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.

Why base tautomerization does not cause errors in mRNA decoding on the ribosome.

The structure of the genetic code implies strict Watson–Crick base pairing in the first two codon positions, while the third position is known to be degenerate, thus allowing wobble base pairing. Recent crystal structures of near-cognate tRNAs accommodated into the ribosomal A-site, however, show canonical geometry even with first and second position mismatches. This immediately raises the question of whether these structures correspond to tautomerization of the base pairs. Further, if unusual tautomers are indeed trapped why do they not cause errors in decoding? Here, we use molecular dynamics free energy calculations of ribosomal complexes with cognate and near-cognate tRNAs to analyze the structures and energetics of G-U mismatches in the first two codon positions. We find that the enol tautomer of G is almost isoenergetic with the corresponding ketone in the first position, while it is actually more stable in the second position. Tautomerization of U, on the other hand is highly penalized. The presence of the unusual enol form of G thus explains the crystallographic observations. However, the calculations also show that this tautomer does not cause high codon reading error frequencies, as the resulting tRNA binding free energies are significantly higher than for the cognate complex.

Rejection of tmRNA·SmpB after GTP hydrolysis by EF-Tu on ribosomes stalled on intact mRNA.

Messenger RNAs lacking a stop codon trap ribosomes at their 3′ ends, depleting the pool of ribosomes available for protein synthesis. In bacteria, a remarkable quality control system rescues and recycles stalled ribosomes in a process known as trans-translation. Acting as a tRNA, transfer-messenger RNA (tmRNA) is aminoacylated, delivered by EF-Tu to the ribosomal A site, and accepts the nascent polypeptide. Translation then resumes on a reading frame within tmRNA, encoding a short peptide tag that targets the nascent peptide for degradation by proteases. One unsolved issue in trans-translation is how tmRNA and its protein partner SmpB preferentially recognize stalled ribosomes and not actively translating ones. Here, we examine the effect of the length of the 3′ extension of mRNA on each step of trans-translation by pre-steady-state kinetic methods and fluorescence polarization binding assays. Unexpectedly, EF-Tu activation and GTP hydrolysis occur rapidly regardless of the length of the mRNA, although the peptidyl transfer to tmRNA decreases as the mRNA 3′ extension increases and the tmRNA·SmpB binds less tightly to the ribosome with an mRNA having a long 3′ extension. From these results, we conclude that the tmRNA·SmpB complex dissociates during accommodation due to competition between the downstream mRNA and the C-terminal tail for the mRNA channel. Rejection of the tmRNA·SmpB complex during accommodation is reminiscent of the rejection of near-cognate tRNA from the ribosome in canonical translation.

Flipping through the Genetic Code: New Developments in Discrimination between Cognate and Near-Cognate tRNAs and the Effect of Antibiotics

Flipping through the Genetic Code: New Developments in Discrimination between Cognate and Near-Cognate tRNAs and the Effect of Antibiotics

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.

Steric Complementarity in the Decoding Center Is Important for tRNA Selection by the Ribosome

Accurate tRNA selection by the ribosome is essential for the synthesis of functional proteins. Previous structural studies indicated that the ribosome distinguishes between cognate and near-cognate tRNAs by monitoring the geometry of the codon–anticodon helix in the decoding center using the universally conserved 16S ribosomal RNA bases G530, A1492 and A1493. These bases form hydrogen bonds with the 2′-hydroxyl groups of the codon–anticodon helix, which are expected to be disrupted with a near-cognate codon–anticodon helix. However, a recent structural study showed that G530, A1492 and A1493 form hydrogen bonds in a manner identical with that of both cognate and near-cognate codon–anticodon helices. To understand how the ribosome discriminates between cognate and near-cognate tRNAs, we made 2′-deoxynucleotide and 2′-fluoro substituted mRNAs, which disrupt the hydrogen bonds between the A site codon and G530, A1492 and A1493. Our results show that multiple 2′-deoxynucleotide substitutions in the mRNA substantially inhibit tRNA selection, whereas multiple 2′-fluoro substitutions in the mRNA have only modest effects on tRNA selection. Furthermore, the miscoding antibiotics paromomycin and streptomycin rescue the defects in tRNA selection with the multiple 2′-deoxynucleotide substituted mRNA. These results suggest that steric complementarity in the decoding center is more important than the hydrogen bonds between the A site codon and G530, A1492 and A1493 for tRNA selection.

Motion of transfer RNA from the A/T state into the A‐site using docking and simulations

The ribosome catalyzes peptidyl transfer reactions at the growing nascent polypeptide chain. Here, we present a structural mechanism for selecting cognate over near-cognate A/T transfer RNA (tRNA). In part, the structural basis for the fidelity of translation relies on accommodation to filter cognate from near-cognate tRNAs. To examine the assembly of tRNAs within the ribonucleic-riboprotein complex, we conducted a series of all-atom molecular dynamics (MD) simulations of the entire solvated 70S Escherichia coli ribosome, along with its associated cofactors, proteins, and messenger RNA (mRNA). We measured the motion of the A/T state of tRNA between initial binding and full accommodation. The mechanism of rejection was investigated. Using novel in-house algorithms, we determined trajectory pathways. Despite the large intersubunit cavity, the available space is limited by the presence of the tRNA, which is equally large. This article describes a "structural gate," formed between helices 71 and 92 on the ribosomal large subunit, which restricts tRNA motion. The gate and the interacting protein, L14, of the 50S ribosome act as steric filters in two consecutive substeps during accommodation, each requiring: (1) sufficient energy contained in the hybrid tRNA kink and (2) sufficient energy in the Watson-Crick base pairing of the codon-anticodon. We show that these barriers act to filter out near-cognate tRNA and promote proofreading of the codon-anticodon. Since proofreading is essential for understanding the fidelity of translation, our model for the dynamics of this process has substantial biomedical implications.

Re-evaluating the decoding principle

Following delivery of tRNA to the aminoacyl-tRNA binding site (A site) of the ribosome, a proofreading step ensures that the selected tRNA matches the mRNA codon of the A site. Previous studies suggested that the universally conserved nucleotides G530, A1492 and A1493 of 16S ribosomal RNA (rRNA) promote a conformational change (domain closure) on the 30S ribosomal subunit only when they detect the formation of Watson–Crick base pairs at the first two positions of the codon–anticodon helix. Here, Demeshkina et al. challenge this view showing that 30S domain closure also occurs in the presence of nucleotide mismatches at the codon–anticodon helix. Moreover, G530, A1492 and A1493 nucleotides of the 16S rRNA interact in a similar manner with mismatched base-pairs as with Watson–Crick base pairs. Thus, it seems that it is the formation of a tight decoding centre following 30S domain closure that destabilizesthe incorrect base pairs, leading to the release of near-cognate tRNA.

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.

Class 1 CF Mutations

Since the discovery of the gene that causes Cystic Fibrosis, our knowledge of how mutations in this gene cause the varied pathophysiological manifestations of this disease has increased substantially. This knowledge has led to the possibility of new therapeutic approaches aimed at the basic defect. Class I mutations of CFTR include premature termination codons (PTCs) or stop codons. In the last 10 years there has been a concerted international effort to utilize the concept of read-through of the stop codon producing full length functioning CFTR protein. This author considers that this approach will result in clinical trials in CF patients carrying these mutations. Class I mutations include PTCs or nonsense codons. A nonsense mutation is a single point alteration in DNA that results in the inappropriate presence of a UAA, UAG, or UGA stop codon in the protein-coding region of the corresponding messenger RNA (mRNA) transcript. Such a stop codon causes premature cessation of translation, with protein truncation leading to loss of function and consequent disease. Nonsense mutations are responsible for about 10% of cystic fibrosis cases worldwide. However, in Israel, nonsense mutations are the cause of cystic fibrosis in most patients (Kerem et al., 1997). As such mutations produce little functional CFTR, these patients usually have a phenotype of CF with exocrine pancreatic insufficiency. The increased understanding of ribosomal function, the process of translation, and small molecules that change the interaction between the ribosome and mRNA have led to the identification of several agents that are capable of suppressing PTCs. This has resulted in a novel strategy to treat CF and other genetic disorders caused by PTCs by restoring full length protein. Aminoglycoside antibiotics were the first drugs demonstrated to suppress PTCs in disease-causing mutations, allowing the translation of full length proteins (Hermann, 2007). Aminoglycosides are antibacterial agents, their mode of action is interfering with normal translation via binding to the bacteria 16S rRNA. There is reduced discrimination between cognate and near-cognate tRNA hence reducing translational fidelity. Eventually, there is accumulation of truncated and non-functioning proteins resulting in bacterial cell death. Gorini and Kataja (1964) demonstrated that aminoglycosides may suppress PTCs and lead to full length translation in E. coli. Aminoglycosides may also bind to human 18S rRNA subunit reducing discrimination of near-cognate tRNAs. This interaction is less stable than in bacteria but may be sufficient to lead to an insertion of a near-cognate aminoacyl-tRNA into the ribosomal A site that is subsequently incorporated into the polypeptide chain. Howard et al. (1996) described PTC suppression by the synthetic aminoglycoside geneticin (G418) to restore function in HeLa cells expressing nonsense codons in 1996. This pivotal work was extended to four nonsense mutations of cftr who were expressed by the human airway cell line IB3-1.In this study, the commonly used aminoglycoside, gentamicin, was incubated with these cells and full length protein was produced (Bedwell et al., 1997).

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.

Codon usage variability determines the correlation between proteome and transcriptome fold changes

BackgroundThe availability of high throughput experimental methods has made possible to observe the relationships between proteome and transcirptome. The protein abundances show a positive but weak correlation with the concentrations of their cognate mRNAs. This weak correlation implies that there are other crucial effects involved in the regulation of protein translation, different from the sole availability of mRNA. It is well known that ribosome and tRNA concentrations are sources of variation in protein levels. Thus, by using integrated analysis of omics data, genomic information, transcriptome and proteome, we aim to unravel important variables affecting translation.ResultsWe identified how much of the variability in the correlation between protein and mRNA concentrations can be attributed to the gene codon frequencies. We propose the hypothesis that the influence of codon frequency is due to the competition of cognate and near-cognate tRNA binding; which in turn is a function of the tRNA concentrations. Transcriptome and proteome data were combined in two analytical steps; first, we used Self-Organizing Maps (SOM) to identify similarities among genes, based on their codon frequencies, grouping them into different clusters; and second, we calculated the variance in the protein mRNA correlation in the sampled genes from each cluster. This procedure is justified within a mathematical framework.ConclusionsWith the proposed method we observed that in all the six studied cases most of the variability in the relation protein-transcript could be explained by the variation in codon composition.

Role of large thermal fluctuations and magnesium ions in t-RNA selectivity of the ribosome.

The fidelity of translation selection begins with the base pairing of codon-anticodon complex between the m-RNA and tRNAs. Binding of cognate and near-cognate tRNAs induces 30S subunit of the ribosome to wrap around the ternary complex, EF-Tu(GTP)aa-tRNA. We have proposed that large thermal fluctuations play a crucial role in the selection process. To test this conjecture, we have developed a theoretical technique to determine the probability that the ternary complex, as a result of large thermal fluctuations, forms contacts leading to stabilization of the GTPase activated state. We argue that the configurational searches for such processes are in the tail end of the probability distribution and show that the probability for this event is localized around the most likely configuration. Small variations in the repositioning of cognate relative to near-cognate complexes lead to rate enhancement of the cognate complex. The binding energies of over a dozen unique site-bound magnesium structural motifs are investigated and provide insights into the nature of interaction of divalent metal ions with the ribosome.

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.

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.