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Codon equilibrium II: Its use in estimating silent-substitution rates.

We study the equilibrium in the use of synonymous codons by eukaryotic organisms and find five equations involving substitution rates that we believe embody the important implications of equilibrium for the process of silent substitution. We then combine these five equations with additional criteria to determine sets of substitution rates applicable to eukaryotic organisms. One method employs the equilibrium equations and a principle of maximum entropy to find the most uniform set of rates consistent with equilibrium. In a second method we combine the equilibrium equations with data on the man-mouse divergence to determine that set of rates that is most neutral yet consistent with both types of data (i.e., equilibrium and divergence data). Simulations show this second method to be quite reliable in spite of significant saturation in the substitution process. We find that when divergence data are included in the calculation of rates, even though these rates are chosen to be as neutral as possible, the strength of selection inferred from the nonuniformity of the rates is approximately doubled. Both sets of rates are applied to estimate the human-mouse divergence time based on several independent subsets of the divergence data consisting of the quartet, C- or T-ending duet, and A- or G-ending duet codon sets. Both rate sets produce patterns of divergence times that are shortest for the quartet data, intermediate for the CT-ending duets, and longest for the AG-ending duets. This indicates that rates of transitions in the duet-codon sets are significantly higher than those in the quartet-codon sets; this effect is especially marked for A----G, the rate of which in duets must be about double that in quartets.

Animals↗

Intragenic codon bias in a set of mouse and human genes.

To better conceptualize the mechanism underlying the evolution of synonymous codons, we have analysed intragenic codon usage in chosen "regions" of some mouse and human genes. We divided a given gene into two regions: one consisting of a trinucleotide repeat (TNR) and the other consisting of the "rest of the coding region" (RCR). Usually, a TNR is composed of a repetitive single codon, which may reflect its frequency in a gene. In contrast, a non-random frequency of a codon in the RCR versus TNR (or vice versa) of a gene should indicate a bias for that codon within the TNR. We examined this scenario by comparing codon frequency between the RCR and the cognate TNR(s) for a set of human and mouse genes. A TNR length of six amino acids or more was used to identify genes from the Genbank database. Twenty nine human and twenty one mouse genes containing TNRs coding for nine different amino acid runs were identified. The ratio of codon frequency in a TNR versus the corresponding RCR was expressed as "fold change" which was also regarded as a measure of codon bias (defined as preferential use either in TNR or in RCR). Chi-square values were then determined from the distribution of codon frequency in a TNR vs. the cognate RCR. At p<0.001, 22% and 27%, respectively, of human and mouse TNRs showed codon bias. Greater than 40% of the TNRs (29 out of 69 in human, and 18 of 42 in mouse) showed codon bias at p<0.05. In addition, we identify eight single-codon TNRs in mouse and ten in human genes. Thus, our results show intragenic codon bias in both mouse and human genes expressed in diverse tissue types. Since our results are independent of the Codon Adaptation Index (CAI) and starvation CAI, and since the tRNA repertoire in a cell or in a tissue is constant, our data suggest that other constraints besides tRNA abundance played a role in creating intragenic codon bias in these genes.

Amino Acids↗

Rare codons are not sufficient to destabilize a reporter gene transcript in tobacco.

In plants, as in other eukaryotes, most synonymous codons of the genetic-code are not used with equal frequency, but instead some codons are preferred, whereas others are rare. Circumstantial evidence led to the suggestion that rare codons have a negative influence on mRNA stability. To address this question experimentally, rare codons encoded by a Bacillus thuringiensis (B.t.) toxin gene (cryIA(c)) or a synthetic sequence were introduced into a phytohemagglutinin (PHA) reporter gene. In neither case was the mRNA stability appreciably diminished in stably transformed tobacco cell cultures nor was the accumulation of mRNA in transgenic plants affected. Thus rare codons do not appear to be sufficient to cause rapid degradation of the PHA mRNA and potentially other mRNAs in plants.

Cell Line↗

CCC CGA is a weak translational recoding site in Escherichia coli.

Previously published experiments had indicated unexpected expression of a control vector in which a beta-galactosidase reporter was in the +1 reading frame relative to the translation start. This control vector contained the codon pair CCC CGA in the zero reading frame, raising the possibility that ribosomes rephased on this sequence, with peptidyl-tRNA(Pro) pairing with CCC in the +1 frame. This putative rephasing might also be exacerbated by the rare CGA Arg codon in the second position due to increased vacancy of the ribosomal A-site. To test this hypothesis, a series of site-directed mutants was constructed, including mutations in both the first and second codons of this codon pair. The results show that interrupting the continuous run of C residues with synonymous codon changes essentially abolishes the frameshift. Further, changing the rare Arg codon to a common Arg codon also reduces the frequency of the frameshift. These results provide strong support for the hypothesis that CCC CGA in the zero frame is indeed a weak translational frameshift site in Escherichia coli, with a 1-2% efficiency. Because the vector sequence also contains another CCC triplet in the +1 reading frame starting within the next codon after the CGA, our data also support possible contribution to expression of a +7 nucleotide ribosome hop into the same +1 reading frame. We also confirm here a previous report that CCC UGA is a translational frameshift site, in these experiments, with about 5% efficiency.

Amino Acid Sequence↗

Codon discrimination due to presence of abundant non-cognate competitive tRNA.

It has been thought that preferential use of synonymous codons provides high efficiency and fidelity of protein synthesis through specific codon-anticodon interactions. In yeast genes, some codon boxes seem to prefer a codon which is unsuited for its cognate anticodon. Now, we propose that codon usage biases may arise due to presence of abundant non-cognate competitive tRNA capable of misreading a codon by C-U or G-U pairing in the middle position.

Codon↗

Silent mutations in the Escherichia coli ompA leader peptide region strongly affect transcription and translation in vivo.

In order to test the effect of silent mutations on the regulation of gene expression, we monitored several steps of transcription and translation of the ompA gene in vivo , in which some or all codons between codons 6 and 14, frequently used in Escherichia coli , had been exchanged for infrequent synonymous codons. Northern blot analysis revealed an up to 4-fold reduction in the half-life of the mutated messengers and a >10-fold reduction in their steady-state amounts. Western blot analysis showed a 10-fold reduction in the amount of OmpA protein. Use of a system expressing a Rho-specific anti-terminator allowed us to detect a strong transcription polarity effect in the silent mutants. These results demonstrate that silent mutations can severely inhibit several steps of gene expression in E. coli and that code degeneracy is efficiently exploited in this species for setting signals for gene control and regulation.

Bacterial Outer Membrane Proteins↗

Yersinia yopQ mRNA encodes a bipartite type III secretion signal in the first 15 codons.

The type III machinery of Yersinia transports Yop proteins across the bacterial envelope. The minimal secretion signal of yopQ is located in codons 1-10 that, when fused in frame to the neomycin phosphotransferase gene, is sufficient to promote type III secretion of YopQ(1-10)-Npt. Frame-shift mutations, generated by nucleotide insertions or deletions following the AUG start and suppressed at the fusion site with npt, abrogate signalling of yopQ(1-10) but not of yopQ(1-15). By generating transversions of every single nucleotide in yopQ(1-10), we identified 10 nucleotide positions in codons 2, 3, 5, 7, 9 and 10 that were each required for substrate recognition. One transversion that abolishes secretion, uridyl 9 to adenyl (U9A), is a synonymous codon 3 mutation that retains the original amino acid as confirmed by Edman degradation analysis, suggesting that the mRNA but not the amino acid sequence of yopQ(1-10) is involved in secretion signalling. Although transversion of U8A abrogates signalling of yopQ(1-10), fusion of yopQ codons 11-15 restores secretion. The nucleotides that are required for this suppression by yopQ(11-15) were identified and revealed both synonymous and non-synonymous mutations. Frame-shift mutations introduced into just this suppressor region (codons 11-15) did not abrogate its ability to suppress mutations in the minimal secretion signal (codons 1-10). Thus, elements downstream of the minimal secretion signal of YopQ increase the efficiency of YopQ secretion and suppress mutations elsewhere in the secretion signal.

Amino Acid Sequence↗

The action of selection on codon bias in the human genome is related to frequency, complexity, and chronology of amino acids.

BACKGROUND: The question of whether synonymous codon choice is affected by cellular tRNA abundance has been positively answered in many organisms. In some recent works, concerning the human genome, this relation has been studied, but no conclusive answers have been found. In the human genome, the variation in base composition and the absence of cellular tRNA count data makes the study of the question more complicated. In this work we study the relation between codon choice and tRNA abundance in the human genome by correcting relative codon usage for background base composition and using a measure based on tRNA-gene copy numbers as a rough estimate of tRNA abundance. RESULTS: We term major codons to be those codons with a relatively large tRNA-gene copy number for their corresponding amino acid. We use two measures of expression: breadth of expression (the number of tissues in which a gene was expressed) and maximum expression level among tissues (the highest value of expression of a gene among tissues). We show that for half the amino acids in the study (8 of 16) the relative major codon usage rises with breadth of expression. We show that these amino acids are significantly more frequent, are smaller and simpler, and are more ancient than the rest of the amino acids. Similar, although weaker, results were obtained for maximum expression level. CONCLUSION: There is evidence that codon bias in the human genome is related to selection, although the selection forces acting on codon bias may not be straightforward and may be different for different amino acids. We suggest that, in the first group of amino acids, selection acts to enhance translation efficiency in highly expressed genes by preferring major codons, and acts to reduce translation rate in lowly expressed genes by preferring non-major ones. In the second group of amino acids other selection forces, such as reducing misincorporation rate of expensive amino acids, in terms of their size/complexity, may be in action. The fact that codon usage is more strongly related to breadth of expression than to maximum expression level supports the notion, presented in a recent study, that codon choice may be related to the tRNA abundance in the tissue in which a gene is expressed.

Amino Acids↗

Reduced synonymous substitution rate at the start of enterobacterial genes.

Synonymous codon usage is less biased at the start of Escherichia coli genes than elsewhere. The rate of synonymous substitution between E.coli and Salmonella typhimurium is substantially reduced near the start of the gene, which suggests the presence of an additional selection pressure which competes with the selection for codons which are most rapidly translated. Possible competing sources of selection are the presence of secondary ribosome binding sites downstream from the start codon, the avoidance of mRNA secondary structure near the start of the gene and the use of sub-optimal codons to regulate gene expression. We provide evidence against the last of these possibilities. We also show that there is a decrease in the frequency of A, and an increase in the frequency of G along the E.coli genes at all three codon positions. We argue that these results are most consistent with selection to avoid mRNA secondary structure.

Base Composition↗

The nucleotide sequence of the rat cytoplasmic beta-actin gene.

The nucleotide sequence of the rat beta-actin gene was determined. The gene codes for a protein identical to the bovine beta-actin. It has a large intron in the 5' untranslated region 6 nucleotides upstream from the initiator ATG, and 4 introns in the coding region at codons specifying amino acids 41/42, 121/122, 267, and 327/328. Unlike the skeletal muscle actin gene and many other actin genes, the beta-actin gene lacks the codon for Cys between the initiator ATG and the codon for the N-terminal amino acid of the mature protein. The usage of synonymous codons in the beta-actin gene is nonrandom, and is similar to that in the rat skeletal muscle and other vertebrate actin genes, but differs from the codon usage in yeast and soybean actin genes.

Actins↗

Codon usage in Tetrahymena and other ciliates.

Codon usage in ciliates was examined by analyzing the coding regions of 22 ciliate genes corresponding to a total of 26,142 nucleotides (8,714 codons). It was found that Tetrahymena, Paramecium and the hypotrichs (Oxytricha and Stylonychia) differed in which synonymous codons were used most frequently by their genes. In fact, the codon choices in highly expressed Tetrahymena genes were more similar to those of yeast genes than those of Paramecium genes. The ciliates do not appear to have unusually strong biases in codon usage frequency when compared to other protists such as yeast. The analysis of the Tetrahymena genes indicated that genes which are highly expressed during normal cell growth have a stronger bias towards using the "preferred" codons than those expressed at lower levels during growth or for brief periods during processes such as conjugation. This conforms to what is found in other protists.

Amino Acids↗

Why the rate of silent codon substitutions is variable within a vertebrate's genome.

Different genes within the murine genome are diverging at different rates. The rate of synonymous codon substitutions in these genes is related to their base composition. It is proposed that the variabilities of rate of mutation accumulation, of codon choice and of average GC content within vertebrate genomes are caused by differences between DNA synthesis in repair and replication, as far as the frequency and compositional bias of mutations introduced by these systems are concerned. DNA repair contributes substantially to the evolution of the DNA domains, which are actively repaired in germline cells and which correspond to regions available for transcription in these cells and to Giemsa-negative bands in stained chromosomes.

Animals↗

How reliable re-adjustment is: correspondence regarding A. Fuglsang, "The 'effective number of codons' revisited".

A. Fuglsang [Biochem. Biophys. Res. Commun. 317 (2004) 957-964] suggested that effective number of codons for individual amino acids (Nc-values) should be re-adjusted to the number of synonymous codons of those amino acids, in order to prevent the overestimation of the effective number of codons. Here, it is shown that re-adjustment at the level of individual amino acids results in loss of considerable amounts of information. Furthermore, we have shown that theoretical Nc-values are functions of GC3s (and GC1s); as a result, when an amino acid Nc-value exceeds the related theoretical Nc-value, the implication of re-adjustment depends on the GC composition of the gene.

Amino Acids↗

A theoretical analysis of codon adaptation index of the Boophilus microplus bm86 gene directed to the optimization of a DNA vaccine.

DNA vaccines utilize host cell molecules for gene transcription and translation to proteins, and the interspecific difference of codon usage is one of the major obstacles for effective induction of specific and strong immune response. In an attempt to improve codon usage effects of DNA vaccine on protein expression, a quantitative study was conducted to clarify the relationship of codon usage in the tick gene bm86 and its potential expression in bovine cells. The calculated relative synonymous codon usage (RSCU) and codon adaptation index (CAI) values of bm86 from Boophilus microplus and a set of 14 highly expressed genes from Bos taurus indicated that some codons utilized frequently in bm86 are rarely used in B. taurus genes and vice versa. The different translational efficiencies obtained suggested that after DNA vaccination using the wild bm86 gene, the protein Bm86 would be expressed in bovines, but it would not be the optimum sequence. However, using the codon-optimized bm86 gene to bovines, whose sequence was theoretically designed, would probably improve the level of the immune response generated against ticks.

Amino Acid Sequence↗

Primary structure of the ompF gene that codes for a major outer membrane protein of Escherichia coli K-12.

The nucleotide sequence of the ompF gene coding for a major outer membrane protein of Escherichia coli K-12 has been determined and the amino acid sequence of the OmpF protein was deduced from it. The OmpF protein contains 340 amino acid residues, and is produced from a precursor having 22 extra amino acid residues, the signal peptide, at the amino terminus. The expected secondary structure of the OmpF protein had a high beta-sheet content with a low alpha-helix content. The promoter region and the transcription termination region of the ompF gene had a significantly high AT content, while the AT content of the coding region was about the same as the average AT content of the E. coli chromosome. Following the termination codon, a typical rho-independent transcription termination signal was observed. The codon usage in the ompF gene was highly nonrandom; the codons preferably utilized are those recognized by the most abundant species of isoaccepting tRNAs or those, among synonymous codons recognized by the same tRNA, that can interact more properly with the anticodon.

Amino Acid Sequence↗

Codon reading scheme in Mycoplasma pneumoniae revealed by the analysis of the complete set of tRNA genes.

The 33 genes encoding the complete set of tRNA species in Mycoplasma pneumoniae have been cloned and sequenced. They are organized into 5 clusters in addition to 9 single genes. No redundant gene was found, indicating that 33 tRNAs correspond to 32 different anticodons and decode all 62 codons used in this organism. There is only one single tRNA for each of the Ala, Leu, Pro, and Val family boxes. Therefore, a simplified decoding system resembling that recently described for Mycoplasma capricolum (1) has to also exist in M.pneumoniae. However, analysis of the anticodon set and codon usage revealed features characteristic of the latter: (i) there is no obvious preference toward AT rich synonymous codons, (ii) CGG codons are assigned for arginine and are translated by tRNA Arg(UCG), and (iii) CNN or GNN anticodons are encountered in the Ser, Thr, Arg, and Gly family boxes. We thus propose that this codon-anticodon recognition pattern has emerged in the 'M.pneumoniae cluster' under a genomic economization strategy but without the influence of AT pressure.

Amino Acid Sequence↗

Unusual usage of AGG and TTG codons in humans and their viruses.

Prior analysis on human protein-coding DNA sequences has identified local base composition as the primary predictor of synonymous codon usage. However, in many organisms, codon usage is influenced by natural selection, particularly for efficient expression of functional gene products. Because viruses are expected to evolve codon usage in the context of their host's molecular machinery, their genomes provide another window into the forces that guide their host's molecular evolution. Factor analysis was performed on codon usage of 16,654 genes annotated in Build 34 of the human genome, and the primary factor was correlated strongly with local base composition. However, two codons, AGG and TTG, rose in frequency as all other C- and G-ending codons decreased in frequency. These two codons were the only C- or G-ending codons with usages that negatively correlated with gene expression. Variation among viruses in codon usage also strongly reflects variation in base composition and, again, AGG and TTG decrease in frequency as all other C- and G-ending codons increase in frequency. It appears that usages of these two codons can not be explained by local compositional biases, implying a more direct role of natural selection on codon usage in humans.

Amino Acids↗

Rates of aminoacyl-tRNA selection at 29 sense codons in vivo.

We have placed aminoacyl-tRNA selection at individual codons in competition with a frameshift that is assumed to have a uniform rate. By assaying a reporter in the shifted frame, relative rates for association of the 29 YNN codons and their cognate aminoacyl-tRNAs were obtained during logarithmic growth in Escherichia coli. For five codons, three beginning with C and two with U, these relative rates agree with relative in vitro rates for elongation factor Tu-mediated aminoacyl-tRNA binding to ribosomes and subsequent GTP hydrolysis. Therefore, the frameshift assay probably measures this process in vivo. Observed rates for aminoacyl-tRNA selection span a 25-fold range. Therefore, the time required to transit different codons in vivo probably differs substantially. Codons very frequently used in highly expressed genes generally select aminoacyl-tRNAs more quickly than do rarely used codons. This suggests that speed of aminoacyl-tRNA selection is a significant factor determining biased use of synonymous codons. However, the preferential use of codons appears to be marked only for codons with the highest rates of aminoacyl-tRNA selection. Rapid selection in vivo is usually effected by elevation of the tRNA concentration for codons with moderate intrinsic speed (rate constant), not by choosing intrinsically fast codons. Despite a preference for high rate, there are quickly translated codons that are not commonly used, and common codons that are translated relatively slowly. Other factors are therefore more important than speed for some codons. Strong preference for rapid aminoacyl-tRNA selection is not observed in weakly expressed genes. Instead, there is a slight preference for slower aminoacyl-tRNA selection. The rate of aminoacyl-tRNA selection by a YNC codon is always greater than the rate of the corresponding YNU codon even though in many YNC/U pairs both codons react with the same elongation factor Tu/GTP/aminoacyl-tRNA complex. Thus, for these tRNAs, the differences between in vivo rate constants of tRNAs are dependent on the nature of anticodon base-pairing. However, no more general relationship is evident between codon/anticodon composition and rate of aminoacyl-tRNA selection. The frameshift method can be extended to all codons.

Base Sequence↗