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Frequencies of codons in histones, tubulins and fibrinogen: bias due to interference between transcription signals and protein function.

The distribution of codons was studied in 65 proteins: 48 histones, 14 tubulins, and three fibrinogens, With the methodology used, (1) we confirmed that the preterminator state of a codon has no detectable effect on codon bias. (2) The well-known effect of CG suppression was visible. We also found that (3) some codons which are very rare, are equal to parts of known transcription signals. Thus, we advanced that to avoid signal interference, the use of these codons is suppressed when a synonymous codon is available. In addition we found that in the whole series of codons, transcription signals are less frequent than in a random sequence of equal composition. Finally we observed (4) that tryptophan is absent in histones. This absence was related not to the TGG codon itself, but to characteristics of the amino acid. We conclude that the functional constraints of a protein can influence, at least for synonymous codon usage, the evolution of its own coding sequence.

Animals↗

Genomic analysis of influenza A viruses, including avian flu (H5N1) strains.

This study was designed to conduct genomic analysis in two steps, such as the overall relative synonymous codon usage (RSCU) analysis of the five virus species in the orthomyxoviridae family, and more intensive pattern analysis of the four subtypes of influenza A virus (H1N1, H2N2, H3N2, and H5N1) which were isolated from human population. All the subtypes were categorized by their isolated regions, including Asia, Europe, and Africa, and most of the synonymous codon usage patterns were analyzed by correspondence analysis (CA). As a result, influenza A virus showed the lowest synonymous codon usage bias among the virus species of the orthomyxoviridae family, and influenza B and influenza C virus were followed, while suggesting that influenza A virus might have an advantage in transmitting across the species barrier due to their low codon usage bias. The ENC values of the host-specific HA and NA genes represented their different HA and NA types very well, and this reveals that each influenza A virus subtype uses different codon usage patterns as well as the amino acid compositions. In NP, PA and PB2 genes, most of the virus subtypes showed similar RSCU patterns except for H5N1 and H3N2 (A/HK/1774/1999) subtypes which were suspected to be transmitted across the species barrier, from avian and porcine species to human beings, respectively. This distinguishable synonymous codon usage patterns in non-human origin viruses might be useful in determining the origin of influenza A viruses in genomic levels as well as the serological tests. In this study, all the process, including extracting sequences from GenBank flat file and calculating codon usage values, was conducted by Java codes, and these bioinformatics-related methods may be useful in predicting the evolutionary patterns of pandemic viruses.

Africa↗

[Analysis of factors shaping S. pneumoniae codon usage].

Streptococcus pneumoniae is a Gram-positive bacteria causing community acquired pneumonia, bacteremia, meningitis and otitis media. As a human pathogen, S. pneumoniae is the most common bacterial cause of acute respiratory infection and otitis media and is estimated to result in over 3 million deaths in children every year worldwide. S. pneumoniae has played a pivotal role in the fields of genetics and microbiology. The complete genome of S. pneumoniae was sequenced and published recently. In order to have a further insight into the synonymous codon usage evolution and to study S. pneumoniae gene codon usage pattern in highly and lowly expressed genes, factors shaping synonymous codon usage pattern of S. pneumoniae were analyzed in this paper. Genes larger than of equal to 300bp of the complete genome of S. pneumoniae (1709 genes in total) were analyzed. The gene expression level (CAI, codon adaption index), RSCU (relative synonymous codon usage), Nc (effective codon numbers), A3s, T3s, G3s, C3s (the frequencies of the adenine, thymine, guanine and cytosine at the synonymous third position of codons, respectively), GC (frequency of guanine + cytosine in gene sequence), GC3s (frequency of guanine + cytosine at the synonymous third position of codons) values and multivariate statistics were calculated. The results show that there is a significant increment of cytosine (C) usage at the synonymous positions in highly expressed genes than lowly expressed genes, while lowly expressed genes tend to use guanine (G) at synonymous sites. Gene expression has a significant correlation with the first axis of correspondence analysis (COA; R = 0.86) and significant effects on codon usage by comparing the codon usage patterns of highly expressed genes and lowly expressed genes. The G + C content of genes has a moderately correlation with gene expression (R = 0.44) and the first axis of the COA (R = 0.51), and therefore shapes gene expression and codon usage in S. pneumoniae. The dataset is divided into 6 groups by gene length. Then, gene expression level, GC3s and Nc values are compared among 6 different gene length groups (> = 300 bp, 2000-2999 bp, 1500-1999 bp, 1000-1499 bp, 500-999 bp, < 500 bp). CAI, GC3s and Nc values show some differences among different gene length groups. Protein hydrophobicities do not show significant influence on codon usage pattern. In summary, the natural selection on gene expression level and the base composition of genes are the major factors affecting codon usage of S. pneumoniae. Gene length shapes codon usage of S. pneumoniae in a minor way.

Amino Acids↗

Interaction of silent and replacement changes in eukaryotic coding sequences.

We examined the codon usages in well-conserved and less-well-conserved regions of vertebrate protein genes and found them to be similar. Despite this similarity, there is a statistically significant decrease in codon bias in the less-well-conserved regions. Our analysis suggests that although those codon changes initially fixed under amino acid replacements tend to follow the overall codon usage pattern, they also reduce the bias in codon usage. This decrease in codon bias leads one to predict that the rate of change of synonymous codons should be greater in those regions that are less well conserved at the amino acid level than in the better-conserved regions. Our analysis supports this prediction. Furthermore, we demonstrate a significantly elevated rate of change of synonymous codons among the adjacent codons 5' to amino acid replacement positions. This provides further support for the idea that there are contextual constraints on the choice of synonymous codons in eukaryotes.

Cell Physiological Phenomena↗

Constraints on codon context in Escherichia coli genes. Their possible role in modulating the efficiency of translation.

The constraints on nucleotide sequences of highly and weakly expressed genes from Escherichia coli have been analysed and compared. Differences in synonymous codon spectra in highly and weakly expressed genes lead to different frequencies of nucleotides (in the first and third codon positions) and dinucleotides in the two groups of genes. It has been found that the choice of synonymous codons in highly expressed genes depends on the nucleotides adjacent to the codon. For example, lysine is preferably encoded by the AAA codon if guanosine is 3' to the lysine codon (AAA-G, P less than 10(-9)). And, on the contrary, AAG is used more often than AAA (P less than 0.001) if cytidine is 3' adjacent to lysine. Guanosine occurs more frequently than adenosine 5' to all the lysine codons (AAR, P less than 10(-5), i.e. NNG codons are preferred over the synonymous NNA codons 5' to the positions of lysine in the genes. The context effect was observed in nonsense and missense suppression experiments. Therefore, a hypothesis has been suggested that the efficiency of translation of some codons (for which the constraints on the adjacent nucleotides were found) can be modulated by the codon context. The rules for preferable synonymous codon choice in highly expressed genes depending on the nucleotides surrounding the codon are presented. These rules can be used in the chemical synthesis of genes designed for expression in E. coli.

Amino Acid Sequence↗

Codon usage in muscle genes and liver genes.

Synonymous codon usage frequencies, derived from cDNA clone sequences, were compared for several sets of vertebrate genes. Gene sets as diverse as those expressed in avian skeletal muscle and in mammalian liver showed similar patterns of synonymous codon usage. There were no significant differences suggesting tissue-specific co-adaptation of codon usage patterns and tRNA anticodon profiles. The results indicate a consensus codon usage pattern for vertebrate genes which is largely independent of taxonomic class, tissue of expression, and the cellular fate and rate of evolution of the encoded proteins. Certain elements of the consensus codon usage pattern indicate that it is the product of natural selection and not simply a mutational equilibrium among phenotypically equivalent synonyms.

Animals↗

Codon and amino acid usage in two major human pathogens of genus Bartonella--optimization between replicational-transcriptional selection, translational control and cost minimization.

Intra-genomic variation in synonymous codon and amino acid usage in two human pathogens Bartonella henselae and B. quintana has been carried out through multivariate analysis. Asymmetric mutational bias, coupled with replicational-transcriptional selection, has been identified as the prime selection force behind synonymous codon selection--a characteristic of the genus Bartonella, not exhibited by any other alpha-proteobacterial genome. Distinct codon usage patterns and low synonymous divergence values between orthologous sequences of highly expressed genes from the two Bartonella species indicate that there exists a residual intra-strand synonymous codon bias in the highly expressed genes, possibly operating at the level of translation. In the case of amino acid usage, the mean hydropathy level and aromaticity are the major sources of variation, both having nearly equal impact, while strand-specific mutational pressure and gene expressivity strongly influence the inter-strand variations. In both species under study, the highly expressed gene products tend not to contain heavy and/or aromatic residues, following the cost-minimization hypothesis in spite of their intracellular lifestyle. The codon and amino acid usage in these two human pathogens are, therefore, consequences of a complex balance between replicational-transcriptional selection, translational control, protein hydropathy and cost minimization.

Amino Acids↗

Thermophilic prokaryotes have characteristic patterns of codon usage, amino acid composition and nucleotide content.

A number of recent studies have shown that thermophilic prokaryotes have distinguishable patterns of both synonymous codon usage and amino acid composition, indicating the action of natural selection related to thermophily. On the other hand, several other studies of whole genomes have illustrated that nucleotide bias can have dramatic effects on synonymous codon usage and also on the amino acid composition of the encoded proteins. This raises the possibility that the thermophile-specific patterns observed at both the codon and protein levels are merely reflections of a single underlying effect at the level of nucleotide composition. Moreover, such an effect at the nucleotide level might be due entirely to mutational bias. In this study, we have compared the genomes of thermophiles and mesophiles at three levels: nucleotide content, codon usage and amino acid composition. Our results indicate that the genomes of thermophiles are distinguishable from mesophiles at all three levels and that the codon and amino acid frequency differences cannot be explained simply by the patterns of nucleotide composition. At the nucleotide level, we see a consistent tendency for the frequency of adenine to increase at all codon positions within the thermophiles. Thermophiles are also distinguished by their pattern of synonymous codon usage for several amino acids, particularly arginine and isoleucine. At the protein level, the most dramatic effect is a two-fold decrease in the frequency of glutamine residues among thermophiles. These results indicate that adaptation to growth at high temperature requires a coordinated set of evolutionary changes affecting (i) mRNA thermostability, (ii) stability of codon-anticodon interactions and (iii) increased thermostability of the protein products. We conclude that elevated growth temperature imposes selective constraints at all three molecular levels: nucleotide content, codon usage and amino acid composition. In addition to these multiple selective effects, however, the genomes of both thermophiles and mesophiles are often subject to superimposed large changes in composition due to mutational bias.

Amino Acids↗

Does Escherichia coli optimize the economics of the translation process?

The codon translation rate is usually assumed to be proportional to the cellular concentration of the cognate tRNA, but synonymous codons sharing the same cognate tRNA may be translated at rather different rates. To account for the latter observation, we assume that the translation process is optimized in two respects: (i), the codon demand is optimized with respect to the supply of cognate tRNAs (composition of the tRNA pool); and (ii), for synonymous codons sharing the same cognate tRNA, the usage frequency of each codon correlates optimally with the stability of the codon-anticodon complex. These assumptions allow us to compute the relative rate constants of synonymous codons. Highly expressed genes, which produce 80-90% of the protein mass in the E. coli cell, appear to have selected codons which make an optimal use of the tRNA pool. Assuming the optimization criteria were valid, a list of codon translation times (in ms) were derived from available experimental data.

Codon, Terminator↗

Codon usage in Chlamydia trachomatis is the result of strand-specific mutational biases and a complex pattern of selective forces.

The patterns of synonymous codon choices of the completely sequenced genome of the bacterium Chlamydia trachomatis were analysed. We found that the most important source of variation among the genes results from whether the sequence is located on the leading or lagging strand of replication, resulting in an over representation of G or C, respectively. This can be explained by different mutational biases associated to the different enzymes that replicate each strand. Next we found that most highly expressed sequences are located on the leading strand of replication. From this result, replicational-transcriptional selection can be invoked. Then, when the genes located on the leading strand are studied separately, the correspondence analysis detects a principal trend which discriminates between lowly and highly expressed sequences, the latter displaying a different codon usage pattern than the former, suggesting selection for translation, which is reinforced by the fact that Ks values between orthologous sequences from C. trachomatis and Chlamydia pneumoniae are much smaller in highly expressed genes. Finally, synonymous codon choices appear to be influenced by the hydropathy of each encoded protein and by the degree of amino acid conservation. Therefore, synonymous codon usage in C.trachomatis seems to be the result of a very complex balance among different factors, which rises the problem of whether the forces driving codon usage patterns among microorganisms are rather more complex than generally accepted.

Amino Acids↗

Selection on silent sites in the rodent H3 histone gene family.

Selection promoting differential use of synonymous codons has been shown for several unicellular organisms and for Drosophila, but not for mammals. Selection coefficients operating on synonymous codons are likely to be extremely small, so that a very large effective population size is required for selection to overcome the effects of drift. In mammals, codon-usage bias is believed to be determined exclusively by mutation pressure, with differences between genes due to large-scale variation in base composition around the genome. The replication-dependent histone genes are expressed at extremely high levels during periods of DNA synthesis, and thus are among the most likely mammalian genes to be affected by selection on synonymous codon usage. We suggest that the extremely biased pattern of codon usage in the H3 genes is determined in part by selection. Silent site G + C content is much higher than expected based on flanking sequence G + C content, compared to other rodent genes with similar silent site base composition but lower levels of expression. Dinucleotide-mediated mutation bias does affect codon usage, but the affect is limited to the choice between G and C in some fourfold degenerate codons. Gene conversion between the two clusters of histone genes has not been an important force in the evolution of the H3 genes, but gene conversion appears to have had some effect within the cluster on chromosome 13.

Animals↗

Codon usage and selection on proteins.

Selection pressures on proteins are usually measured by comparing homologous nucleotide sequences (Zuckerkandl and Pauling 1965). Recently we introduced a novel method, termed volatility, to estimate selection pressures on proteins on the basis of their synonymous codon usage (Plotkin and Dushoff 2003; Plotkin et al. 2004). Here we provide a theoretical foundation for this approach. Under the Fisher-Wright model, we derive the expected frequencies of synonymous codons as a function of the strength of selection on amino acids, the mutation rate, and the effective population size. We analyze the conditions under which we can expect to draw inferences from biased codon usage, and we estimate the time scales required to establish and maintain such a signal. We find that synonymous codon usage can reliably distinguish between negative selection and neutrality only for organisms, such as some microbes, that experience large effective population sizes or periods of elevated mutation rates. The power of volatility to detect positive selection is also modest--requiring approximately 100 selected sites--but it depends less strongly on population size. We show that phenomena such as transient hyper-mutators can improve the power of volatility to detect selection, even when the neutral site heterozygosity is low. We also discuss several confounding factors, neglected by the Fisher-Wright model, that may limit the applicability of volatility in practice.

Algorithms↗

A periodic pattern of mRNA secondary structure created by the genetic code.

Single-stranded mRNA molecules form secondary structures through complementary self-interactions. Several hypotheses have been proposed on the relationship between the nucleotide sequence, encoded amino acid sequence and mRNA secondary structure. We performed the first transcriptome-wide in silico analysis of the human and mouse mRNA foldings and found a pronounced periodic pattern of nucleotide involvement in mRNA secondary structure. We show that this pattern is created by the structure of the genetic code, and the dinucleotide relative abundances are important for the maintenance of mRNA secondary structure. Although synonymous codon usage contributes to this pattern, it is intrinsic to the structure of the genetic code and manifests itself even in the absence of synonymous codon usage bias at the 4-fold degenerate sites. While all codon sites are important for the maintenance of mRNA secondary structure, degeneracy of the code allows regulation of stability and periodicity of mRNA secondary structure. We demonstrate that the third degenerate codon sites contribute most strongly to mRNA stability. These results convincingly support the hypothesis that redundancies in the genetic code allow transcripts to satisfy requirements for both protein structure and RNA structure. Our data show that selection may be operating on synonymous codons to maintain a more stable and ordered mRNA secondary structure, which is likely to be important for transcript stability and translation. We also demonstrate that functional domains of the mRNA [5'-untranslated region (5'-UTR), CDS and 3'-UTR] preferentially fold onto themselves, while the start codon and stop codon regions are characterized by relaxed secondary structures, which may facilitate initiation and termination of translation.

3' Untranslated Regions↗

Evolutionary genomics: codon volatility does not detect selection.

Plotkin et al. introduce a method to detect selection that is based on an index called codon volatility and that uses only the sequence of a single genome, claiming that this method is applicable to a large range of sequenced organisms. Volatility for a given codon is the ratio of non-synonymous codons to all sense codons accessible by one point mutation. The significance of each gene's volatility is assessed by comparison with a simulated distribution of 10(6) synonymous versions of each gene, with synonymous codons drawn randomly from average genome frequencies. Here we re-examine their method and data and find that codon volatility does not detect selection, and that, even if it did, the genomes of Mycobacterium tuberculosis and Plasmodium falciparum, as well as those of most sequenced organisms, do not meet the assumptions necessary for application of their method.

Animals↗

Codon usage and tRNA content in unicellular and multicellular organisms.

Choices of synonymous codons in unicellular organisms are here reviewed, and differences in synonymous codon usages between Escherichia coli and the yeast Saccharomyces cerevisiae are attributed to differences in the actual populations of isoaccepting tRNAs. There exists a strong positive correlation between codon usage and tRNA content in both organisms, and the extent of this correlation relates to the protein production levels of individual genes. Codon-choice patterns are believed to have been well conserved during the course of evolution. Examination of silent substitutions and tRNA populations in Enterobacteriaceae revealed that the evolutionary constraint imposed by tRNA content on codon usage decelerated rather than accelerated the silent-substitution rate, at least insofar as pairs of taxonomically related organisms were examined. Codon-choice patterns of multicellular organisms are briefly reviewed, and diversity in G+C percentage at the third position of codons in vertebrate genes--as well as a possible causative factor in the production of this diversity--is discussed.

Animals↗

Selective charging of tRNA isoacceptors explains patterns of codon usage.

We modeled how the charged levels of different transfer RNAs (tRNAs) that carry the same amino acid (isoacceptors) respond when this amino acid becomes growth-limiting. The charged levels will approach zero for some isoacceptors (such as tRNA2Leu) and remain high for others (such as tRNA4Leu), as determined by the concentrations of isoacceptors and how often their codons occur in protein synthesis. The theory accounts for (synonymous) codons for the same amino acid that are used in ribosome-mediated transcriptional attenuation, the choices of synonymous codons in trans-translating transfermessenger RNA, and the overrepresentation of rare codons in messenger RNAs for amino acid biosynthetic enzymes.

Amino Acids↗

Selection on codon usage for error minimization at the protein level.

Given the structure of the genetic code, synonymous codons differ in their capacity to minimize the effects of errors due to mutation or mistranslation. I suggest that this may lead, in protein-coding genes, to a preference for codons that minimize the impact of errors at the protein level. I develop a theoretical measure of error minimization for each codon, based on amino acid similarity. This measure is used to calculate the degree of error minimization for 82 genes of Drosophila melanogaster and 432 rodent genes and to study its relationship with CG content, the degree of codon usage bias, and the rate of nucleotide substitution. I show that (i) Drosophila and rodent genes tend to prefer codons that minimize errors; (ii) this cannot be merely the effect of mutation bias; (iii) the degree of error minimization is correlated with the degree of codon usage bias; (iv) the amino acids that contribute more to codon usage bias are the ones for which synonymous codons differ more in the capacity to minimize errors; and (v) the degree of error minimization is correlated with the rate of nonsynonymous substitution. These results suggest that natural selection for error minimization at the protein level plays a role in the evolution of coding sequences in Drosophila and rodents.

Amino Acids↗

Factors affecting codon usage in Yersinia pestis.

The complete genome of Yersinia pestis which was the causative agent of the systemic invasive infectious disease classically referred as plague, had been recently sequenced. In order to have a further insight into the synonymous codon usage evolution, factors shaping synonymous codon usage pattern of Yersinia pestis were analyzed in this paper. The coding sequences larger than or equal to 300 bp were used in codon usage analysis. Though "G"+"C" content in Y. pestis genome was slightly lower (47.64%), the highly expressed genes tended to use "C" or "G" at synonymous sites compared with lowly expressed genes. Conversely, lowly expressed genes tended to prefer "A" or "T" at synonymous positions. Gene expression level was strongly correlated with the first axis of the correspondence analysis (COA) (R=0.63, P<0.0001). By the analyses of the codon usage pattern of highly and lowly expressed genes, it was confirmed that gene expression level was partially responsible for the codon usage bias. GC-skew analysis showed that codon usage suffered replication-transcriptional selection. Codon adaptation index (CAI), frequency of "C"+"G" at the synonymous third position of codon (GC3s) and the effective number of codons (Nc) values showed some differences among different gene length groups. "G"+"C" content of genes was strongly correlated with the first axis of the COA (R=0.72, P<0.0001). It could be concluded that gene expressivity, replication-transcriptional selection, gene length and gene composition constraints were the main affecting factors of codon usage variation in Y. pestis.

Amino Acids↗