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Absence of p53 mutation at codon 249 in duck hepatocellular carcinomas from the high incidence area of Qidong (China).

Dietary aflatoxin and hepatitis B virus infection may play a role in generating the p53 tumor suppressor gene codon 249 hotspot mutation found in human hepatocellular carcinomas (HCCs) from Qidong (China) and southern Africa. No data are available on the HCC site-specific mutation of the p53 gene in hepadnavirus-infected animals exposed to AFB1. We have searched for the presence of p53 gene codon 249 mutations in both duck hepatitis B virus (DHBV) positive and negative HCCs of domestic ducks from Qidong, where the human p53 hotspot is so prevalent, as well as in duck HCCs experimentally induced by AFB1. Direct sequencing of DNA amplification products encompassing p53 codon 249 did not reveal any mutations in 11 HCCs from Qidong ducks, regardless of the status of DHBV infection. In addition no mutation was detected in four HCCs from AFB1-treated ducks. This contrasts with the human data; however, in humans, the mutation and the preferential binding of AFB1 to codon 249 occurs at the third nucleotide G, while in duck, the codon 249 lacks this G residue. The DNA sequence of adjacent codons is also different in the two species even though the amino acid sequence is identical. This may explain the low frequency of mutation we have observed. In addition, species differences in metabolism and DNA repair could influence the occurrence of codon 249 mutations.

Aflatoxin B1↗

Stop codon selection in eukaryotic translation termination: comparison of the discriminating potential between human and ciliate eRF1s.

During eukaryotic translation termination, eRF1 responds to three stop codons. However, in ciliates with variant genetic codes, only one or two codons function as a stop signal. To localize the region of ciliate eRF1 implicated in stop codon discrimination, we have constructed ciliate-human hybrid eRF1s by swapping regions of human eRF1 for the equivalent region of ciliate Euplotes eRF1. We have examined the formation of a cross-link between recombinant eRF1s and mRNA analogs containing the photoactivable 4-thiouridine (s(4)U) at the first position of stop and control sense codons. With human eRF1, this cross-link can be detected only when either stop or UGG codons are located in the ribosomal A site. Here we show that the cross-link of the Euplotes-human hybrid eRF1 is restricted to mRNAs containing UAG and UAA codons, and that the entire N-terminal domain of Euplotes eRF1 is involved in discriminating against UGA and UGG. On the basis of these results, we discuss the steps of the selection process that determine the accuracy of stop codon recognition in eukaryotes.

Amino Acid Motifs↗

The effects of mutation and natural selection on codon bias in the genes of Drosophila.

Codon bias varies widely among the loci of Drosophila melanogaster, and some of this diversity has been explained by variation in the strength of natural selection. A study of correlations between intron and coding region base composition shows that variation in mutation pattern also contributes to codon bias variation. This finding is corroborated by an analysis of variance (ANOVA), which shows a tendency for introns from the same gene to be similar in base composition. The strength of base composition correlations between introns and codon third positions is greater for genes with low codon bias than for genes with high codon bias. This pattern can be explained by an overwhelming effect of natural selection, relative to mutation, in highly biased loci. In particular, this correlation is absent when examining fourfold degenerate sites of highly biased genes. In general, it appears that selection acts more strongly in choosing among fourfold degenerate codons than among twofold degenerate codons. Although the results indicate regional variation in mutational bias, no evidence is found for large scale regions of compositional homogeneity.

Animals↗

Maximizing transcription efficiency causes codon usage bias.

The rate of protein synthesis depends on both the rate of initiation of translation and the rate of elongation of the peptide chain. The rate of initiation depends on the encountering rate between ribosomes and mRNA; this rate in turn depends on the concentration of ribosomes and mRNA. Thus, patterns of codon usage that increase transcriptional efficiency should increase mRNA concentration, which in turn would increase the initiation rate and the rate of protein synthesis. An optimality model of the transcriptional process is presented with the prediction that the most frequently used ribonucleotide at the third codon sites in mRNA molecules should be the same as the most abundant ribonucleotide at the third codon sites in mRNA molecules should be the same as the most abundant ribonucleotide in the cellular matrix where mRNA is transcribed. This prediction is supported by four kinds of evidence. First, A-ending codons are the most frequently used synonymous codons in mitochondria, where ATP is much more abundant than that of the three other ribonucleotides. Second, A-ending codons are more frequently used in mitochondrial genes than in nuclear genes. Third, protein genes from organisms with a high metabolic rate use more A-ending codons and have higher A content in their introns than those from organisms with a low metabolic rate.

Animals↗

Gene expression and protein length influence codon usage and rates of sequence evolution in Populus tremula.

Codon bias is generally thought to be determined by a balance between mutation, genetic drift, and natural selection on translational efficiency. However, natural selection on codon usage is considered to be a weak evolutionary force and selection on codon usage is expected to be strongest in species with large effective population sizes. In this paper, I study associations between codon usage, gene expression, and molecular evolution at synonymous and nonsynonymous sites in the long-lived, woody perennial plant Populus tremula (Salicaceae). Using expression data for 558 genes derived from expressed sequence tags (EST) libraries from 19 different tissues and developmental stages, I study how gene expression levels within single tissues as well as across tissues affect codon usage and rates sequence evolution at synonymous and nonsynonymous sites. I show that gene expression have direct effects on both codon usage and the level of selective constraint of proteins in P. tremula, although in different ways. Codon usage genes is primarily determined by how highly expressed a genes is, whereas rates of sequence evolution are primarily determined by how widely expressed genes are. In addition to the effects of gene expression, protein length appear to be an important factor influencing virtually all aspects of molecular evolution in P. tremula.

Codon↗

ACB-PCR measurement of K-ras codon 12 mutant fractions in livers of Big Blue rats treated with N-hydroxy-2-acetylaminofluorene.

K-ras codon 12 GGT-->GAT and GGT-->GTT mutations are the most frequently observed K-ras point mutations in human and rodent tumors and therefore are implicated in carcinogenesis for many tissues. Measurement of these mutations in rat models and human tissue could facilitate a more logical extrapolation of rodent tumorigenesis data to human disease. We have developed allele-specific competitive blocker PCR (ACB-PCR) assays for rat K-ras codon 12 GGT-->GTT and GGT-->GAT mutations that parallel the already published assays for human K-ras codon 12 mutations. Liver K-ras codon 12 mutant allele fractions were measured in vehicle-treated and N-hydroxy-2-acetylaminofluorene (N-OH-AAF)-treated Big Blue rats. The average K-ras codon 12 GGT-->GTT mutant fraction (MF) for four control rats was 50 x 10(-6) (95% CI: 27 x 10(-6), 95 x 10(-6)) and for four treated rats was 165 x 10(-6) (95% CI: 87 x 10(-6), 312 x 10(-6)), indicating a 3.3-fold increase with treatment (95% CI: 1.3-8.1). The average MF of K-ras codon 12 GGT-->GAT for control rats was 1320 x 10(-6) (95% CI: 498 x 10(-6), 3500 x 10(-6)) and for treated rats was 8450 x 10(-6) (95% CI: 3180 x 10(-6), 22 400 x 10(-6)), indicating a 6.4-fold increase with treatment (95% CI: 1.6-25.4). These transgenic rats were part of a study that included analysis of liver lacI mutations. Although data from lacI determinations show that this compound induces mostly G-->T mutations, using the ACB-PCR method both K-ras codon 12 GGT-->GTT and GGT-->GAT MFs were significantly increased in treated rats versus control rats. This data raises the possibility that N-OH-AAF may not only induce mutations by a genotoxic mechanism, but also by amplification of both de novo and pre-existing K-ras mutation.

Alleles↗

Codon usage and gene expression.

The hypothesis that codon usage regulates gene expression at the level of translation is tested. Codon usage of Escherichia coli and phage lambda is compared by correspondence analysis, and the basis of this hypothesis is examined by connecting codon and tRNA distributions to polypeptide elongation kinetics. Both approaches indicate that if codon usage was random tRNA limitation would only affect the rarest tRNA species. General discrimination against their cognate codons indicates that polypeptide elongation rates are maintained constant. Thus, differences in expression of E. coli genes are not a consequence of their variable codon usage. The preference of codons recognized by the most abundant tRNAs in E. coli genes encoding abundant proteins is explained by a constraint on the cost of proof-reading.

Bacteriophage lambda↗

Synonymous codon usage in Bacillus subtilis reflects both translational selection and mutational biases.

Codon usage data for 56 Bacillus subtilis genes show that synonymous codon usage in B. subtilis is less biased than in Escherichia coli, or in Saccharomyces cerevisiae. Nevertheless, certain genes with a high codon bias can be identified by correspondence analysis, and also by various indices of codon bias. These genes are very highly expressed, and a general trend (a decrease) in codon bias across genes seems to correspond to decreasing expression level. This, then, may be a general phenomenon in unicellular organisms. The unusually small effect of translational selection on the pattern of codon usage in lowly expressed genes in B. subtilis yields similar dinucleotide frequencies among different codon positions, and on complementary strands. These patterns could arise through selection on DNA structure, but more probably are largely determined by mutation. This prevalence of mutational bias could lead to difficulties in assessing whether open reading frames encode proteins.

Bacillus subtilis↗

Codon usage in Pseudomonas aeruginosa.

We have generated a codon usage table for Pseudomonas aeruginosa. Codon usage in P. aeruginosa is extremely biased. In contrast to E. coli and yeast, P. aeruginosa preferentially uses those codons within a synonymous codon group with the strongest predicted codon-anticodon interaction. We were unable to correlate a particular codon usage pattern with predicted levels of mRNA expressivity. The choice of a third base reflects the high guanine plus cytosine content of the P. aeruginosa genome (67.2%) and cytosine is the preferred nucleotide for the third codon position.

Bacteriophages↗

Initiation of translation at an AUA codon for an archaebacterial protein gene expressed in E.coli.

Overexpression of the Sulfolobus solfataricus L12 ribosomal protein gene in E.coli cells yielded two products of different size. If the E.coli cells carrying the overexpression plasmid were induced in the early stage of bacterial growth, the smaller of the two products was almost exclusively produced. However, induction in a late stage of bacterial growth yielded the larger product in significant excess. The larger protein was identified as the translation product of the entire SsoL12 gene, while the smaller product was a N-terminally shortened version of the L12 protein (sh-SsoL12), starting with a N-terminal methionine at position 22 of the coded protein and continuing with the predicted protein sequence. Position 22 is an isoleucine in the complete SsoL12 protein sequence, coded by an AUA codon. A subclone (SsoL12**) of the SsoL12 gene containing overexpression plasmid, lacking the regular AUG start codon and the putative Shine Dalgarno sequence, was constructed to determine if E.coli ribosomes could initiate at this AUA codon. During overexpression the SsoL12** construct yielded exclusively the sh-SsoL12 product in significant amounts. An AUA start codon has never been found before in a natural message. However, experiments utilizing site directed mutagenesis to generate AUA start codons showed that this codon can be functional for initiation in prokaryotes and eukaryotes. The findings presented in this paper show that AUA acts as an initiation codon in a natural message expressed in a heterologous organism.

Amino Acid Sequence↗

Evolution of codon usage patterns: the extent and nature of divergence between Candida albicans and Saccharomyces cerevisiae.

Codon usage in a sample of 28 genes from the pathogenic yeast Candida albicans has been analysed using multivariate statistical analysis. A major trend among genes, correlated with gene expression level, was identified. We have focussed on the extent and nature of divergence between C.albicans and the closely related yeast Saccharomyces cerevisiae. It was recently suggested that significant differences exist between the subsets of preferred codons in these two species [Brown et al. (1991) Nucleic Acids Res. 19, 4293]. Overall, the genes of C.albicans are more A + T-rich, reflecting the lower genomic G + C content of that species, and presumably resulting from a different pattern of mutational bias. However, in both species highly expressed genes preferentially use the same subset of 'optimal' codons. A suggestion that the low frequency of NCG codons in both yeast species results from selection against the presence of codons that are potentially highly mutable is discounted. Codon usage in C.albicans, as in other unicellular species, can be interpreted as the result of a balance between the processes of mutational bias and translational selection. Codon usage in two related Candida species, C.maltosa and C.tropicalis, is briefly discussed.

Biological Evolution↗

Codon usage in Caenorhabditis elegans: delineation of translational selection and mutational biases.

Synonymous codon usage varies considerably among Caenorhabditis elegans genes. Multivariate statistical analyses reveal a single major trend among genes. At one end of the trend lie genes with relatively unbiased codon usage. These genes appear to be lowly expressed, and their patterns of codon usage are consistent with mutational biases influenced by the neighbouring nucleotide. At the other extreme lie genes with extremely biased codon usage. These genes appear to be highly expressed, and their codon usage seems to have been shaped by selection favouring a limited number of translationally optimal codons. Thus, the frequency of these optimal codons in a gene appears to be correlated with the level of gene expression, and may be a useful indicator in the case of genes (or open reading frames) whose expression levels (or even function) are unknown. A second, relatively minor trend among genes is correlated with the frequency of G at synonymously variable sites. It is not yet clear whether this trend reflects variation in base composition (or mutational biases) among regions of the C.elegans genome, or some other factor. Sequence divergence between C.elegans and C.briggsae has also been studied.

Animals↗

Mutations to nonsense codons in human genetic disease: implications for gene therapy by nonsense suppressor tRNAs.

Nonsense suppressor tRNAs have been suggested as potential agents for human somatic gene therapy. Recent work from this laboratory has described significant effects of 3' codon context on the efficiency of human nonsense suppressors. A rapid increase in the number of reports of human diseases caused by nonsense codons, prompted us to determine how the spectrum of mutation to either UAG, UAA or UGA codons and their respective 3' contexts, might effect the efficiency of human suppressor tRNAs employed for purposes of gene therapy. This paper presents a survey of 179 events of mutations to nonsense codons which cause human germline or somatic disease. The analysis revealed a ratio of approximately 1:2:3 for mutation to UAA, UAG and UGA respectively. This pattern is similar, but not identical, to that of naturally occurring stop codons. The 3' contexts of new mutations to stop were also analysed. Once again, the pattern was similar to the contexts surrounding natural termination signals. These results imply there will be little difference in the sensitivity of nonsense mutations and natural stop codons to suppression by nonsense suppressor tRNAs. Analysis of the codons altered by nonsense mutations suggests that efforts to design human UAG suppressor tRNAs charged with Trp, Gln, and Glu; UAA suppressors charged with Gln and Glu, and UGA suppressors which insert Arg, would be an essential step in the development of suppressor tRNAs as agents of human somatic gene therapy.

Codon↗

The CUG codon is decoded in vivo as serine and not leucine in Candida albicans.

Previous studies have shown that the yeast Candida albicans encodes a unique seryl-tRNA(CAG) that should decode the leucine codon CUG as serine. However, in vitro translation of several different CUG-containing mRNAs in the presence of this unusual seryl-tRNA(CAG) result in an apparent increase in the molecular weight of the encoded polypeptides as judged by SDS-PAGE even though the molecular weight of serine is lower than that of leucine. A possible explanation for this altered electrophoretic mobility is that the CUG codon is decoded as modified serine in vitro. To elucidate the nature of CUG decoding in vivo, a reporter system based on the C. albicans gene (RBP1) encoding rapamycin-binding protein (RBP), coupled to the promoter of the C. albicans TEF3 gene, was utilized. Sequencing and mass-spectrometry analysis of the recombinant RBP expressed in C. albicans demonstrated that the CUG codon was decoded exclusively as serine while the related CUU codon was translated as leucine. A database search revealed that 32 out of the 65 C. albicans gene sequences available have CUG codons in their open reading frames. The CUG-containing genes do not belong to any particular gene family. Thus the amino acid specified by the CUG codon has been reassigned within the mRNAs of C. albicans. We argue here that this unique genetic code change in cellular mRNAs cannot be explained by the 'Codon Reassignment Theory'.

Amino Acid Sequence↗

Exploiting unassigned codons in Micrococcus luteus for tRNA-based amino acid mutagenesis.

An alternative to suppression of stop codons for the biosynthetic insertion of non-natural amino acids has been developed. Micrococcus luteus , a Gram-positive bacterium, is incapable of translating at least two codons. One of these unused codons was inserted in a gene to act as a nonsense site. An aminoacylated tRNA was synthesized which was complementary to this codon. The gene containing the missing codon was expressed in vitro in a M.luteus transcription/translation system. Read-through of the missing codon occurred only when the complementary tRNA was included. The results demonstrate that M.luteus can be used for incorporation of amino acids via synthetically prepared aminoacylated tRNAs. The use of a M. luteus translation system provides a method for incorporation of non-natural amino acids which avoids the use of stop codons.

Amino Acid Sequence↗

Conserved codon composition of ribosomal protein coding genes in Escherichia coli, Mycobacterium tuberculosis and Saccharomyces cerevisiae: lessons from supervised machine learning in functional genomics.

Genomics projects have resulted in a flood of sequence data. Functional annotation currently relies almost exclusively on inter-species sequence comparison and is restricted in cases of limited data from related species and widely divergent sequences with no known homologs. Here, we demonstrate that codon composition, a fusion of codon usage bias and amino acid composition signals, can accurately discriminate, in the absence of sequence homology information, cytoplasmic ribosomal protein genes from all other genes of known function in Saccharomyces cerevisiae, Escherichia coli and Mycobacterium tuberculosis using an implementation of support vector machines, SVM(light). Analysis of these codon composition signals is instructive in determining features that confer individuality to ribosomal protein genes. Each of the sets of positively charged, negatively charged and small hydrophobic residues, as well as codon bias, contribute to their distinctive codon composition profile. The representation of all these signals is sensitively detected, combined and augmented by the SVMs to perform an accurate classification. Of special mention is an obvious outlier, yeast gene RPL22B, highly homologous to RPL22A but employing very different codon usage, perhaps indicating a non-ribosomal function. Finally, we propose that codon composition be used in combination with other attributes in gene/protein classification by supervised machine learning algorithms.

Algorithms↗

JCat: a novel tool to adapt codon usage of a target gene to its potential expression host.

A novel method for the adaptation of target gene codon usage to most sequenced prokaryotes and selected eukaryotic gene expression hosts was developed to improve heterologous protein production. In contrast to existing tools, JCat (Java Codon Adaptation Tool) does not require the manual definition of highly expressed genes and is, therefore, a very rapid and easy method. Further options of JCat for codon adaptation include the avoidance of unwanted cleavage sites for restriction enzymes and Rho-independent transcription terminators. The output of JCat is both graphically and as Codon Adaptation Index (CAI) values given for the pasted sequence and the newly adapted sequence. Additionally, a list of genes in FASTA-format can be uploaded to calculate CAI values. In one example, all genes of the genome of Caenorhabditis elegans were adapted to Escherichia coli codon usage and further optimized to avoid commonly used restriction sites. In a second example, the Pseudomonas aeruginosa exbD gene codon usage was adapted to E.coli codon usage with parallel avoidance of the same restriction sites. For both, the degree of introduced changes was documented and evaluated. JCat is integrated into the PRODORIC database that hosts all required information on the various organisms to fulfill the requested calculations. JCat is freely accessible at http://www.prodoric.de/JCat.

Algorithms↗

Novel ceftazidime-resistance beta-lactamases generated by a codon-based mutagenesis method and selection.

Four known and nine new ceftazidime-resistance beta-lactamases were generated by a novel, contaminating codon-based mutagenesis approach. In this method, wild-type codons are spiked with a set of mutant codons during oligonucleotide synthesis, generating random combinatorial libraries of primers that contain few codon replacements per variant. Mutant codons are assembled by tandem addition of a diluted mixture of five Fmoc-dimer amidites to the growing oligo and a mixture of four DMTr-monomer amidites to generate 20 trinucleotides that encode a set of 18 amino acids. Wild-type codons are assembled with conventional chemistry and the whole process takes place in only one synthesis column, making its automation feasible. The random and binomial behavior of this approach was tested in the polylinker region of plasmid pUC19 by the synthesis of three oligonucleotide libraries mutagenized at different rates and cloned as mutagenic cassettes. Additionally, the method was biologically assessed by mutating six contiguous codons that encode amino acids 237-243 (ABL numbering) of the TEM(pUC19) beta-lactamase, which is functionally equivalent to the clinically important TEM-1 beta-lactamase. The best ceftazidime-recognizing variant was a triple mutant, R164H:E240K: R241A, displaying a 333-fold higher resistance than the wild-type enzyme.

Amino Acid Substitution↗