Codon–anticodon interaction and the genetic code evolution

The evolution of the genetic code, with 20 amino acids encoded from the beginning, is analyzed from the viewpoint of codon–anticodon interaction. Imposing a minimum principle for the interaction, in the framework of the so called crystal basis model of the genetic code, we determine the structure of the anticodons in the ancient, archetypal and early genetic codes, that are all reconciled in a unique frame. Most of our results agree with the generally accepted scheme.     

Pattern and chance in the use of the genetic code

Summary The use of triplet code words inE. coli,X174, MS2, and rabbit globin was examined. A significant deficiency of purines in the third position of fourfold degenerate codons was noted, although its significance is not understood. There has been no consistent selection against uracil in pyrimidine restricted codons. For many amino acids the choice between code words appears random, while for arginine, isoleucine, and probably glycine, distinct biases exist which can be explained in terms of tRNA availability.     

An Extensive Study of Mutation and Selection on the Wobble Nucleotide in tRNA Anticodons in Fungal Mitochondrial Genomes

Two alternative hypotheses aim to predict the wobble nucleotide of tRNA anticodons in mitochondrion. The codon-anticodon adaptation hypothesis predicts that the wobble nucleotide of tRNA anticodon should evolve toward maximizing the Watson-Crick base pairing with the most frequently used codon within each synonymous codon family. In contrast, the wobble versatility hypothesis argues that the nucleotide at the wobble site should be occupied by a nucleotide most versatile in wobble pairing, i.e., the wobble site of the tRNA anticodon should be G for NNY codon families and U for NNR and NNN codon families (where Y stands for C or U, R for A or G, and N for any nucleotide). We examined codon usage and anticodon wobble sites in 36 fungal genomes to evaluate these two alternative hypotheses and identify exceptional cases that deserve new explanations. While the wobble versatility hypothesis is generally supported, there are interesting exceptions involving tRNA(Arg) translating the CGN codon family, tRNA(Trp) translating the UGR codon family, and tRNA(Met) translating the AUR codon family. Our results suggest that the potential to suppress stop codons, the historical inertia, and the conflict between translation initiation and elongation can all contribute to determining the wobble nucleotide of tRNA anticodons.     

Optimality of codon usage in Escherichia coli due to load minimization

The canonical genetic code is known to be highly efficient in minimizing the effects of mistranslational errors and point mutations, an ability which in term is designated "load minimization". One parameter involved in calculating the load minimizing property of the genetic code is codon usage. In most bacteria, synonymous codons are not used with equal frequencies. Different factors have been proposed to contribute to codon usage preference. It has been shown that the codon preference is correlated with the composition of the tRNA pool. Selection for translational efficiency and translational accuracy both result in such a correlation. In this work, it is shown that codon usage bias in Escherichia coli works so as to minimize the consequences of translational errors, i.e. optimized for load minimization.     

On the methodological weakness of 'the effective number of codons': a reply to Marashi and Najafabadi

In a recent publication [Biochem. Biophys. Res. Commun. 317 (2004) 957] it was proposed that the 'effective number of codons' (Nc) in a gene should be calculated by summing the individual amino acid Nc's using rounding whenever the codon homozygosities are lower than the reciprocal value of the number of members of the synonymous families. This led Marashi and Najafabadi to examine the consequences of individual re-adjustment when comparing observed Nc with the expected Nc under assumptions of no selection, and C=G and A=T [Biochem. Biophys. Res. Commun. 324 (2004) 1]. Clearly, the present methodology has some weaknesses; in this work, I discuss these in relation to the observations by Marashi and Najafabadi, and finally an alternative method for the calculation of Nc is introduced with the purpose of eliminating the need for re-adjustments.     

Codon swapping as a possible evolutionary mechanism

Summary It is apparent in the genetic code that amino acids of similar chemical nature have similar codons. I show how through successive codon captures (multiple rounds of Osawa-Jukes type reassignments), complete codon swappings in an unfavorable genetic code are evolutionarily feasible. This mechanisms could have complemented the ambiguity reduction and the vocabulary extension processes of codon-amino acid assignments. Evolution of wobble rules is implied. Transfer RNA molecules and synthetases may still carry memories of it.     

A Comparative Genomics Analysis of Codon Reassignments Reveals a Link with Mitochondrial Proteome Size and a Mechanism of Genetic Code Change Via Suppressor tRNAs

Using a comparative genomics approach we demonstrate a negative correlation between the number of codon reassignments undergone by 222 mitochondrial genomes and the mitochondrial genome size, the number of mitochondrial ORFs, and the sizes of the large and small subunit mitochondrial rRNAs. In addition, we show that the TGA-to-tryptophan codon reassignment, which has occurred 11 times in mitochondrial genomes, is found in mitochondrial genomes smaller than those which have not undergone the reassignment. We therefore propose that mitochondrial codon reassignments occur in a wide range of phyla, particularly in Metazoa, due to a reduced “proteomic constraint” on the mitochondrial genetic code, compared to the nuclear genetic code. The reduced proteomic constraint reflects the small size of the mitochondrial-encoded proteome and allows codon reassignments to occur with less likelihood of lethality. In addition, we demonstrate a striking link between nonsense codon reassignments and the decoding properties of naturally occurring nonsense suppressor tRNAs. This suggests that natural preexisting nonsense suppression facilitated nonsense codon reassignments and constitutes a novel mechanism of genetic code change. These findings explain for the first time the identity of the stop codons and amino acids reassigned in mitochondrial and nuclear genomes. Nonsense suppressor tRNAs provided the raw material for nonsense codon reassignments, implying that the properties of the tRNA anticodon have dictated the identity of nonsense codon reassignments. Electronic Supplementary Material The online version of this article (doi:) contains supplementary material, which is available to authorized users. [Reviewing Editor: Dr. Laura Landweber]     

Does the Genetic Code Have A Eukaryotic Origin?

In the RNA world, RNA is assumed to be the dominant macromolecule performing most, if not all, core "house-keeping" functions. The ribo-cell hypothesis suggests that the genetic code and the translation machinery may both be born of the RNA world, and the introduction of DNA to ribo-cells may take over the informational role of RNA gradually, such as a mature set of genetic code and mechanism enabling stable inheritance of sequence and its variation. In this context, we modeled the genetic code in two content variables-GC and purine contents-of protein-coding sequences and measured the purine content sensitivities for each codon when the sensitivity (% usage) is plotted as a function of GC content variation. The analysis leads to a new pattern-the symmetric pattern-where the sensitivity of purine content variation shows diagonally symmetry in the codon table more significantly in the two GC content invariable quarters in addition to the two existing patterns where the table is divided into either four GC content sensitivity quarters or two amino acid diversity halves. The most insensitive codon sets are GUN (valine) and CAN (CAR for asparagine and CAY for aspartic acid) and the most biased amino acid is valine (always over-estimated) followed by alanine (always under-estimated). The unique position of valine and its codons suggests its key roles in the final recruitment of the complete codon set of the canonical table. The distinct choice may only be attributable to sequence signatures or signals of splice sites for spliceosomal introns shared by all extant eukaryotes.     

A statistical test of hypotheses on the organization and origin of the genetic code

Summary Theories of the origin of the genetic code assign different weights to amino acid properties such as polarity and precursor-product relationship. Previous statistical work on the origin of the genetic code has produced controversial results. We analyze relationships between various amino acid and tRNA properties by one and the same statistical method. It is shown that polarities as well as precursor-product relationships are both likely to have been important in shaping the genetic code, together with codon swapping that left protein sequences intact.     

Mitochondrial Genetic Codes Evolve to Match Amino Acid Requirements of Proteins

Mitochondria often use genetic codes different from the standard genetic code. Now that many mitochondrial genomes have been sequenced, these variant codes provide the first opportunity to examine empirically the processes that produce new genetic codes. The key question is: Are codon reassignments the sole result of mutation and genetic drift? Or are they the result of natural selection? Here we present an analysis of 24 phylogenetically independent codon reassignments in mitochondria. Although the mutation-drift hypothesis can explain reassignments from stop to an amino acid, we found that it cannot explain reassignments from one amino acid to another. In particular—and contrary to the predictions of the mutation-drift hypothesis—the codon involved in such a reassignment was not rare in the ancestral genome. Instead, such reassignments appear to take place while the codon is in use at an appreciable frequency. Moreover, the comparison of inferred amino acid usage in the ancestral genome with the neutral expectation shows that the amino acid gaining the codon was selectively favored over the amino acid losing the codon. These results are consistent with a simple model of weak selection on the amino acid composition of proteins in which codon reassignments are selected because they compensate for multiple slightly deleterious mutations throughout the mitochondrial genome. We propose that the selection pressure is for reduced protein synthesis cost: most reassignments give amino acids that are less expensive to synthesize. Taken together, our results strongly suggest that mitochondrial genetic codes evolve to match the amino acid requirements of proteins.     

Codons AGA and AGG are read as glycine in ascidian mitochondria

Summary A 1.2-kb DNA fragment of the cytochrome oxidase subunit I (CO I) gene of mitochondria isolated from an ascidian,Halocynthia roretzi, was amplified by polymerase chain reaction (PCR) and sequenced. Codons AGA and AGG appeared in its reading frame, indicating that these are sense codons in this organelle. Sequence comparisons with the corresponding regions of other animal mitochondrial CO I genes suggest that codons AGA and AGG correspond to glycine in the ascidian mitochondrial genome, but not to serine as in most invertebrate genomes, nor to stops as in vertebrate genomes. The other codons are identical to those of vertebrate mitochondria.     

Control of translation efficiency in yeast by codon-anticodon interactions

The choice of synonymous codons used to encode a polypeptide contributes to substantial differences in translation efficiency between genes. However, both the magnitude and the mechanisms of codon-mediated effects are unknown, as neither the effects of individual codons nor the parameters that modulate codon-mediated regulation are understood, particularly in eukaryotes. To explore this problem in Saccharomyces cerevisiae, we performed the first systematic analysis of codon effects on expression. We find that the arginine codon CGA is strongly inhibitory, resulting in progressively and sharply reduced expression with increased CGA codon dosage. CGA-mediated inhibition of expression is primarily due to wobble decoding of CGA, since it is nearly completely suppressed by coexpression of an exact match anticodon-mutated tRNA(Arg(UCG)), and is associated with generation of a smaller RNA fragment, likely due to endonucleolytic cleavage at a stalled ribosome. Moreover, CGA codon pairs are more effective inhibitors of expression than individual CGA codons. These results directly implicate decoding by the ribosome and interactions at neighboring sites within the ribosome as mediators of codon-specific translation efficiency.     

Function of Y in codon-anticodon interaction of tRNA Phe

Molar association constants of binding oligonucleotides to the anticodon loops of (yeast) tRNA^Phe, (yeast) tRNA_HCl^Phe and (E. coli) tRNA_F^Met have been determined by equilibrium dialysis. From the temperature dependence of the molar association constants, ΔF, ΔH and ΔS of oligomer-anticodon loop interaction have been determined. The data indicate that the free energy change of codon-anticodon interaction is highly influenced by the presence of a modified purine (tRNA^Phe), of an unmodified purine (tRNA_F^Met) or its absence (tRNA_HCl^Phe). Excision of the modified purine Y in the anticodon loop of tRNA^Phe results in a conformational change of the anticodon loop, which is discussed on the basis of the corresponding changes in ΔF, ΔH and ΔS.     

Genetic-code evolution for protein synthesis with non-natural amino acids

The genetic encoding of synthetic or “non-natural” amino acids promises to diversify the functions and structures of proteins. We applied rapid codon-reassignment for creating Escherichia coli strains unable to terminate translation at the UAG “stop” triplet, but efficiently decoding it as various tyrosine and lysine derivatives. This complete change in the UAG meaning enabled protein synthesis with these non-natural molecules at multiple defined sites, in addition to the 20 canonical amino acids. UAG was also redefined in the E. coli BL21 strain, suitable for the large-scale production of recombinant proteins, and its cell extract served the cell-free synthesis of an epigenetic protein, histone H4, fully acetylated at four specific lysine sites.     

Exploring GpG bases next to anticodon in tRNA subsets

Transfer RNA (tRNA) structure, modifications and functions are evolutionary and established in bacteria, archaea and eukaryotes. Typically the tRNA modifications are indispensable for its stability and are required for decoding the mRNA into amino acids for protein synthesis. A conserved methylation has been located on the anticodon loop specifically at the 37^th position and it is next to the anticodon bases. This modification is called as m1G37 and it is catalyzed by tRNA (m¹G37) methyltransferase (TrmD). It is deciphered that G37 positions occur on few additional amino acids specific tRNA subsets in bacteria. Furthermore, Archaea and Eukaryotes have more number of tRNA subsets which contains G37 position next to the anticodon and the G residue are located at different positions such as G36, G37, G38, 39, and G40. In eight bacterial species, G (guanosine) residues are presents at the 37^th and 38^th position except three tRNA subsets having G residues at 36^th and 39^th positions. Therefore we propose that m1G37 modification may be feasible at 36^th, 37^th, 38^th, 39^th and 40^th positions next to the anticodon of tRNAs. Collectively, methylation at G residues close to the anticodon may be possible at different positions and without restriction of anticodon 3^rd base A, C, U or G.     

Codon Usage Bias and Mutation Constraints Reduce the Level of ErrorMinimization of the Genetic Code

Studies on the origin of the genetic code compare measures of the degree of error minimization of the standard code with measures produced by random variant codes but do not take into account codon usage, which was probably highly biased during the origin of the code. Codon usage bias could play an important role in the minimization of the chemical distances between amino acids because the importance of errors depends also on the frequency of the different codons. Here I show that when codon usage is taken into account, the degree of error minimization of the standard code may be dramatically reduced, and shifting to alternative codes often increases the degree of error minimization. This is especially true with a high CG content, which was probably the case during the origin of the code. I also show that the frequency of codes that perform better than the standard code, in terms of relative efficiency, is much higher in the neighborhood of the standard code itself, even when not considering codon usage bias; therefore alternative codes that differ only slightly from the standard code are more likely to evolve than some previous analyses suggested. My conclusions are that the standard genetic code is far from being an optimum with respect to error minimization and must have arisen for reasons other than error minimization.[Reviewing Editor: Martin Kreitman]