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We have determined the sequence of the portion of Simian Virus 40 (SV40) that codes for the major structural protein of the virus. The gene contains 361 codons. Synonym codons for an amino acid are not used randomly. The dinucleotide CG occurs only once and there is 2 to 1 preference for uridylic acid in the third position of codons.
We analyzed 12 individual codons, which differed widely with respect to the frequency of use in Escherichia coli and the abundance of the corresponding tRNAs, for their influence on the coupling between transcription and translation. This was probed by determining the effects of codon substitutions in the leader peptide gene on transcription past the pyrE attenuator, as described previously by Bonekamp et al. (F. Bonekamp, H. D. Andersen, T. Christensen, and K. F. Jensen, Nucleic Acids Res. 13:4113-4123, 1985). In principle, the results revealed that either RNA polymerase or the (leading) ribosomes pass the different codon strings at different rates. However, under the assumption that the rate of transcription elongation is unaffected by the sequence changes, the results may be interpreted as indicating that different codons are translated at different rates and that these rates do not generally reflect the concentrations of the corresponding tRNAs or the frequencies with which the codons are used in E. coli. Moreover, it seems that codon synonyms that are served by the same isoaccepting tRNA species can deviate as much from each other in translational behavior as synonymous codons that are served by isoacceptors present in the cell in widely different amounts can.
Codon usage bias of 1,117 Drosophila melanogaster genes, as well as fewer D. pseudoobscura and D. virilis genes, was examined from the perspective of relative abundance of isoaccepting tRNAs and their changes during development. We found that each amino acid contributes about equally and highly significantly to overall codon usage bias, with the exception of Asp which had very low contribution to overall bias. Asp was also the only amino acid that did not show a clear preference for one of its synonymous codons. Synonymous codon usage in Drosophila was consistent with "optimal" codons deduced from the isoaccepting tRNA availability. Interestingly, amino acids whose major isoaccepting tRNAs change during development did not show as strong bias as those with developmentally unchanged tRNA pools. Asp is the only amino acid for which the major isoaccepting tRNAs change between larval and adult stages. We conclude that synonymous codon usage in Drosophila is well explained by tRNA availability and is probably influenced by developmental changes in relative abundance.
The patterns of nonrandom usage of synonymous codons (codon bias) in enteric bacteria were analyzed. Poisson random field (PRF) theory was used to derive the expected distribution of frequencies of nucleotides differing from the ancestral state at aligned sites in a set of DNA sequences. This distribution was applied to synonymous nucleotide polymorphisms and amino acid polymorphisms in the gnd and putP genes of Escherichia coli. For the gnd gene, the average intensity of selection against disfavored synonymous codons was estimated as approximately 7.3 x 10(-9); this value is significantly smaller than the estimated selection intensity against selectively disfavored amino acids in observed polymorphisms (2.0 x 10(-8)), but it is approximately of the same order of magnitude. The selection coefficients for optimal synonymous codons estimated from PRF theory were consistent with independent estimates based on codon usage for threonine and glycine. Across 118 genes in E. coli and Salmonella typhimurium, the distribution of estimated selection coefficients, expressed as multiples of the effective population size, has a mean and standard deviation of 0.5 +/- 0.4. No significant differences were found in the degree of codon bias between conserved positions and replacement positions, suggesting that translational misincorporation is not an important selective constraint among synonymous polymorphic codons in enteric bacteria. However, across the first 100 codons of the genes, conserved amino acids with identical codons have significantly greater codon bias than that of either synonymous or nonidentical codons, suggesting that there are unique selective constraints, perhaps including mRNA secondary structures, in this part of the coding region.
Seventeen non-allelic laccase genes and one gene footprint are present in the genome of Coprinopsis cinerea. Two gene subfamilies were defined by intron positions and similarity of deduced gene products, one with 15 members (lcc1-lcc15) and one with 2 members (lcc16, lcc17). The first subfamily divides in the phylogenetic tree of deduced proteins into smaller clusters that probably reflect recent gene duplication events. Different laccase genes diverged from each other both by frequent synonymous and non-synonymous codon changes. Mainly synonymous codon changes accumulate in alleles, with up to 12% total codon differences between given pairs of alleles. Overexpression of the 17 laccase genes under the control of a constitutive promoter identified nine active enzymes from subfamily 1. All of these showed laccase activities with DMP (2,6-dimethoxy phenol) as substrate but only eight of them also with ABTS [2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid)]. Lcc16 and Lcc17 share certain sequence features with ferroxidases but enzyme assays failed to show such activity. Lcc15 is expected to be non-functional in laccase activity due to an internal deletion of about 150 amino acids. Transcripts were obtained from all genes but splice junctions for three genes were not congruent with translation into a functional protein.
We previously showed that GAU codons are preferred (relative to synonymous GAC codons) for encoding aspartates specifically at the N-termini of alpha-helices in human, but not in E. coli, proteins. To test if this difference reflected a general difference between eucaryotes and procaryotes, we now extended the analysis to include the proteins and coding sequences of mammals, vertebrates, S. cerevisiae, and plants. We found that the GAU-alpha-helix correlation is also strong in non-human mammalian and vertebrate proteins but is much weaker or insignificant in S. cerevisiae and plants. The vertebrate correlations are of sufficient strength to enhance alpha-helix N-terminus prediction. Additional results, including the observation that the correlation is significantly enhanced when proteins that are known to be correctly expressed in recombinant procaryotic systems are excluded, suggest that the correlation is induced at the level of protein translation and folding and not at the nucleic acid level. To the best of our knowledge, it is not explicable by the canonical picture of protein expression and folding, suggesting the existence of a novel evolutionary selection mechanism. One possible explanation is that some alpha-helix N-terminal GAU codons may facilitate correct co-translational folding in vertebrates.
Synonymous codon usage is based and the bias seems to be different in different organisms. Factors with proposed roles in causing codon bias include degree and timing of gene expression, codon-anticodon interactions, transcription and translation rate and fidelity, codon context, and global and local G + C content. We offer a new perspective and new methods for elucidating codon choices applied especially to the human genome. We present data supporting the thesis that codon choices for human genes are largely a consequence of two factors: (1) amino acid constraints, (2) maintaining DNA structures dependent on base-step conformational tendencies consistent with the organism's genome signature that is determined by genome-wide processes of DNA modification, replication and repair. The related codon signature defined as the dinucleotide relative abundances at the distinct codon positions (1,2), (2,3), and (3,4) (4 = 1 of the next codon) accommodates both the global genome signature and amino acid constraints. In human genes, codon positions (2,3) and (3,4) containing the silent site have similar codon signatures reflecting DNA symmetry. Strong CG and TA dinucleotide underrepresentation is observed at all codon positions as well as in non-coding regions. Estimates of synonymous codon usage based on codon signatures are in excellent agreement with the actual codon usage in human and general vertebrate genes. These properties are largely independent of the isochore compartment (G + C content), gene size, and transcriptional and translational constraints. We hypothesize that major influences on codon usage in human genes result from residue preferences and diresidue associations in proteins coupled to biases on the DNA level, related to replication and repair processes and/or DNA structural requirements.
A simple measure is presented that quantifies how far the codon usage of a gene departs from equal usage of synonymous codons. This measure of synonymous codon usage bias, the 'effective number of codons used in a gene', Nc, can be easily calculated from codon usage data alone, and is independent of gene length and amino acid (aa) composition. Nc can take values from 20, in the case of extreme bias where one codon is exclusively used for each aa, to 61 when the use of alternative synonymous codons is equally likely. Nc thus provides an intuitively meaningful measure of the extent of codon preference in a gene. Codon usage patterns across genes can be investigated by the Nc-plot: a plot of Nc vs. G + C content at synonymous sites. Nc-plots are produced for Homo sapiens, Saccharomyces cerevisiae, Escherichia coli, Bacillus subtilis, Dictyostelium discoideum, and Drosophila melanogaster. A FORTRAN77 program written to calculate Nc is available on request.
Sequences of the gapA and ompA genes from 10 genera of enterobacteria have been analyzed. There is strong bias in codon usage, but different synonymous codons are preferred at different sites in the same gene. Site-specific preference for unfavored codons is not confined to the first 100 codons and is usually manifest between two codons utilizing the same tRNA. Statistical analyses, based on conclusions reached in an accompanying paper, show that the use of an unfavored codon at a given site in different genera is not due to common descent and must therefore be caused either by sequence-specific mutation or sequence-specific selection. Reasons are given for thinking that sequence-specific mutation cannot be responsible. We are unable to explain the preference between synonymous codons ending in C or T, but synonymous choice between A and G at third sites is largely explained by avoidance of AG-G (where the hyphen indicates the boundary between codons). We also observed that the preferred codon for proline in Enterobacter cloacea has changed from CCG to CCA.
Genome sequencing in a number of taxa has revealed variation in nucleotide composition both among regions of the genome and among functional classes of sites in DNA. Mutational biases, biased gene conversion, and natural selection have been proposed as causes of this variation. Here, we review patterns of base composition in Drosophila DNA. Nucleotide composition in Drosophila melanogaster varys regionally, and base composition is correlated between introns and exons. Drosophila species also show striking patterns of non-random codon usage. Patterns of synonymous codon usage and the biochemistry of translation suggest that natural selection may act at 'silent' sites. A relationship between recombination rates and codon usage and comparisons of the evolutionary dynamics of silent mutations within and between species support natural selection discriminating among synonymous codons. The causes of regional base composition variation are less clear. Progress in functional studies of non-coding DNA, further investigations of genome patterns, and statistical tests based on evolutionary theory will lead to a greater understanding of the contributions of mutational processes and natural selection in patterning genome-wide nucleotide composition.
This paper is concerned with the divergence of synonymous codon usage and its bias in three homologous genes within vertebrate species. Genetic distances among species are described in terms of synonymous codon usage divergence and the correlation is found between the genetic distances and taxonomic distances among species under study. A codon usage clock is reported in alpha-globin and beta-globin. A method is developed to define the synonymous codon preference bias and it is observed that the bias changes considerably among species.
The major outer-membrane protein of Pseudomonas, OprF, is multifunctional. It is a non-specific porin that plays a role in maintenance of cell shape, in growth in a low-osmolarity environment, and in adhesion to various supports or molecules. OprF has been studied extensively for its utility as a vaccine component, its role in antimicrobial drug resistance, and its porin function. The authors have previously shown important differences between the OprF and 16S rDNA phylogenies: Pseudomonas fluorescens isolates split into two quite separate clusters, probably according to their ecological niche. In this study, the evolutionary history of the oprF gene was investigated further. The study of G+C content at the third codon position, synonymous codon usage (codon adaptation index, CAI) and genomic context showed no evidence of horizontal transfer or gene duplication. Similarly, a robust likelihood test of incongruence showed no significant incongruence between the oprF phylogeny and the species phylogeny. In addition, the ratio of nonsynonymous mutations to synonymous mutations (K(a)/K(s)) is high between the different clusters, especially between the two clusters containing P. fluorescens isolates, highlighting important modifications in evolutionary constraints during the history of the oprF gene. Since OprF is known as a pleiotropic protein, modifications in evolutionary constraints could have resulted from variations in cryptic functions, correlated with the ecological fingerprint. Finally, relaxed constraints and/or episodic positive evolution, especially for some P. fluorescens strains, could have led to a phylogeny reconstruction artifact.
To gain insight into the nature of the mitochondrial genomes (mtDNA) of different Candida species, the synonymous codon usage bias of mitochondrial protein coding genes and the tRNAs in C. albicans, C. parapsilosis, C. stellata, C. glabrata and the closely related yeast Saccharomyces cerevisiae were analyzed. Common features of the mtDNA in Candida species are a strong A+T pressure on protein coding genes, and insufficient mitochondrial tRNA species are encoded to perform protein synthesis. The wobble site of the anticodon is always U for the NNR (NNA and NNG) codon families, which are dominated by A-ending codons, and always G for the NNY (NNC and NNU) codon families, which is dominated by U-ending codons, and always U for the NNN (NNA, NNU, NNC and NNG) codon families, which are dominated by A-ending codons and U-ending codons. Patterns of synonymous codon usage of Candida species can be classified into three groups: (1) optimal codon-anticodon usage, Glu, Lys, Leu (translated by anti-codon UAA), Gln, Arg (translated by anti-codon UCU) and Trp are containing NNR codons. NNA, whose corresponding tRNA is encoded in the mtDNA, is used preferentially. (2) Non-optimal codon-anticodon usage, Cys, Asp, Phe, His, Asn, Ser (translated by anti-codon GCU) and Tyr are containing NNY codons. The NNU codon, whose corresponding tRNA is not encoded in the mtDNA, is used preferentially. (3) Combined codon-anticodon usage, Ala, Gly, Leu (translated by anti-codon UAG), Pro, Ser (translated by anti-codon UGA), Thr and Val are containing NNN codons. NNA (tRNA encoded in the mtDNA) and NNU (tRNA not encoded in the mtDNA) are used preferentially. In conclusion, we propose that in Candida species, codons containing A or U at third position are used preferentially, regardless of whether corresponding tRNAs are encoded in the mtDNA. These results might be useful in understanding the common features of the mtDNA in Candida species and patterns of synonymous codon usage.
Although human DNA polymerase beta (DNA pol beta) shows 96% identity with rat DNA pol beta at the amino acid level, it is weakly expressed in Escherichia (E.) coli relative to the rat enzyme. The mechanism of this suppression was investigated. Pulse-chase protein labeling and steady state mRNA analysis showed that mature human DNA pol beta protein is relatively stable in E. coli and the levels of human and rat DNA pol beta mRNA were comparable indicating that the human DNA pol beta expression is suppressed at the translational level. By systematic expression analysis of a number of chimeric genes composed of human and rat cDNAs, two strong translational suppression regions were mapped in the human DNA pol beta mRNA; one was named TSR-1, corresponding to CGG encoding arginine (arg) at position 4 and the other, termed TSR-2, is located between codons 153 and 199. Since substitution of the rat Arg-4 codon with synonymous codons showed strong effects upon the expression level, we propose that the arg codon at the N-terminal coding region plays a role in modulating expression.
The statistical study of polynucleotide sequences constituting the genes of E. coli, bacteriophages lambda and T7 reveals that constraints act upon nucleic acids (DNA or RNA) and contribute to determine the choice between the synonymous codons. The existence of synonymous codons seems to be the way of satisfying these constraints, keeping the possibility of specifying a large variety of polypeptides. At least in the case of amino acids with a small number of codons, these constraints are strong enough to influence the primary structure of proteins.
In bacteria, synonymous codon usage can be considerably affected by base composition at neighboring sites. Such context-dependent biases may be caused by either selection against specific nucleotide motifs or context-dependent mutation biases. Here we consider the evolutionary conservation of context-dependent codon bias across 11 completely sequenced bacterial genomes. In particular, we focus on two contextual biases previously identified in Escherichia coli; the avoidance of out-of-frame stop codons and AGG motifs. By identifying homologues of E. coli genes, we also investigate the effect of gene expression level in Haemophilus influenzae and Mycoplasma genitalium. We find that while context-dependent codon biases are widespread in bacteria, few are conserved across all species considered. Avoidance of out-of-frame stop codons does not apply to all stop codons or amino acids in E. coli, does not hold for different species, does not increase with gene expression level, and is not relaxed in Mycoplasma spp., in which the canonical stop codon, TGA, is recognized as tryptophan. Avoidance of AGG motifs shows some evolutionary conservation and increases with gene expression level in E. coli, suggestive of the action of selection, but the cause of the bias differs between species. These results demonstrate that strong context-dependent forces, both selective and mutational, operate on synonymous codon usage but that these differ considerably between genomes.
It is well known that stop codons play a critical role in the process of protein synthesis. However, little effort has been made to investigate whether stop codon usage exhibits biases, such as widely seen for synonymous codon usage. Here we systematically investigate stop codon usage bias in various eukaryotes as well as its relationships with its context, GC3 content, gene expression level, and secondary structure. The results show that there is a strong bias for stop codon usage in different eukaryotes, i.e., UAA is overrepresented in the lower eukaryotes, UGA is overrepresented in the higher eukaryotes, and UAG is least used in all eukaryotes. Different conserved patterns for each stop codon in different eukaryotic classes are found based on information content and logo analysis. GC3 contents increase with increasing complexity of organisms. Secondary structure prediction revealed that UAA is generally associated with loop structures, whereas UGA is more uniformly present in loop and stem structures, i.e., UGA is less biased toward having a particular structure. The stop codon usage bias, however, shows no significant relationship with GC3 content and gene expression level in individual eukaryotes. The results indicate that genomic complexity and GC3 content might contribute to stop codon usage bias in different eukaryotes. Our results indicate that stop codons, like synonymous codons, exhibit biases in usage. Additional work will be needed to understand the causes of these biases and their relationship to the mechanism of protein termination.
To investigate the genomic properties of HIV-1, we collected 3,081 sequences from the HIV Sequence Database. The sequences were categorized according to sampling region, country, year, subtype, gene name, and sequence and were saved in a database constructed for this study. The relative synonymous codon usage (RSCU) values of matrix, capsid, and gp120 and gp41 genes were calculated using correspondence analysis. The synonymous codon usage patterns based on the geographical regions of African countries showed broad distributions; when all the other regions, including Asia, Europe, and the Americas, were taken into account, the Asian countries tended to be divided into two groups. The sequences were clustered into nine non-CRF subtypes. Among these, subtype C showed the most distinct codon usage pattern. To determine why the codon usage patterns in Asian countries were divided into two groups for four target genes, the sequences of the isolates from the Asian countries were analyzed. As a result, the synonymous codon usage patterns among Asian countries were divided into two groups, the southern Asian countries and the other Asian countries, with subtype 01_AE being the most dominant subtype in southern Asia. In summary, the synonymous codon usage patterns among the individual HIV-1 subtypes reflect genetic variations, and this bioinformatics technique may be useful in conjunction with phylogenetic methods for predicting the evolutionary patterns of pandemic viruses.