The tendency of lentiviral open reading frames to become A-rich: constraints imposed by viral genome organization and cellular tRNA availability

Human immunodeficiency virus type 1 (HIV-1) and other lentiviridae demonstrate a strong preference for the A-nucleotide, which can account for up to 40% of the viral RNA genome. The biological mechanism responsible for this nucleotide bias is currently unknown. The increased A-content of these viral genomes corresponds to the typical use of synonymous codons by all members of the lentiviral family (HIV, SIV, BIV, FIV, CAEV, EIAV, visna) and the human spuma retrovirus, but not by other retroviruses like the human T-cell leukemia viruses HTLV-I and HTLV-II. In this article, we analyzed A-bias for all codon groups in all open reading frames of several lentiviruses. The extent of lentiviral codon bias could be related to host cellular translation. By calculating codon bias indices (CBIs), we were able to demonstrate an inverse correlation between the extent of codon bias and the rate of translation of individual reading frames in these viruses. Specifically, the shift toward A-rich codons is more pronounced in pol than in gag lentiviral genes. Since it is known that Gag synthesis exceeds Pol synthesis by a factor of 20 due to infrequent ribosomal frame-shifting during translation of the gap-pol mRNA molecule, we propose that the aminoacyl-tRNA availability in the host cell restricts the lentiviral preference for A-rich codons. In addition, less A-nucleotides were found in regions of the viral genome encoding multiple functions; e.g., overlapping reading frames (tat-rev-env) or in genes that overlap regulatory sequences (nef-LTR region). Finally, the characteristics of lentiviral codon usage are presented as a phylogenetic tree without the need for prior sequence alignment.Correspondence to: B. Berkhout     

Codon usage bias: causative factors,quantification methods and genome‐wide patterns: with emphasis on insect genomes

Codon usage bias refers to the phenomenon where specific codons are used more often than other synonymous codons during translation of genes, the extent of which varies within and among species. Molecular evolutionary investigations suggest that codon bias is manifested as a result of balance between mutational and translational selection of such genes and that this phenomenon is widespread across species and may contribute to genome evolution in a significant manner. With the advent of whole‐genome sequencing of numerous species, both prokaryotes and eukaryotes, genome‐wide patterns of codon bias are emerging in different organisms. Various factors such as expression level, GC content, recombination rates, RNA stability, codon position, gene length and others (including environmental stress and population size) can influence codon usage bias within and among species. Moreover, there has been a continuous quest towards developing new concepts and tools to measure the extent of codon usage bias of genes. In this review, we outline the fundamental concepts of evolution of the genetic code, discuss various factors that may influence biased usage of synonymous codons and then outline different principles and methods of measurement of codon usage bias. Finally, we discuss selected studies performed using whole‐genome sequences of different insect species to show how codon bias patterns vary within and among genomes. We conclude with generalized remarks on specific emerging aspects of codon bias studies and highlight the recent explosion of genome‐sequencing efforts on arthropods (such as twelve Drosophila species, species of ants, honeybee, Nasonia and Anopheles mosquitoes as well as the recent launch of a genome‐sequencing project involving 5000 insects and other arthropods) that may help us to understand better the evolution of codon bias and its biological significance.     

A general model of codon bias due to GC mutational bias

Background

In spite of extensive research on the effect of mutation and selection on codon usage, a general model of codon usage bias due to mutational bias has been lacking. Because most amino acids allow synonymous GC content changing substitutions in the third codon position, the overall GC bias of a genome or genomic region is highly correlated with GC3, a measure of third position GC content. For individual amino acids as well, G/C ending codons usage generally increases with increasing GC bias and decreases with increasing AT bias. Arginine and leucine, amino acids that allow GC-changing synonymous substitutions in the first and third codon positions, have codons which may be expected to show different usage patterns.

Principal Findings

In analyzing codon usage bias in hundreds of prokaryotic and plant genomes and in human genes, we find that two G-ending codons, AGG (arginine) and TTG (leucine), unlike all other G/C-ending codons, show overall usage that decreases with increasing GC bias, contrary to the usual expectation that G/C-ending codon usage should increase with increasing genomic GC bias. Moreover, the usage of some codons appears nonlinear, even nonmonotone, as a function of GC bias. To explain these observations, we propose a continuous-time Markov chain model of GC-biased synonymous substitution. This model correctly predicts the qualitative usage patterns of all codons, including nonlinear codon usage in isoleucine, arginine and leucine. The model accounts for 72%, 64% and 52% of the observed variability of codon usage in prokaryotes, plants and human respectively. When codons are grouped based on common GC content, 87%, 80% and 68% of the variation in usage is explained for prokaryotes, plants and human respectively.

Conclusions

The model clarifies the sometimes-counterintuitive effects that GC mutational bias can have on codon usage, quantifies the influence of GC mutational bias and provides a natural null model relative to which other influences on codon bias may be measured.     

Revelation of Influencing Factors in Overall Codon Usage Bias of Equine Influenza Viruses

Equine influenza viruses (EIVs) of H3N8 subtype are culprits of severe acute respiratory infections in horses, and are still responsible for significant outbreaks worldwide. Adaptability of influenza viruses to a particular host is significantly influenced by their codon usage preference, due to an absolute dependence on the host cellular machinery for their replication. In the present study, we analyzed genome-wide codon usage patterns in 92 EIV strains, including both H3N8 and H7N7 subtypes by computing several codon usage indices and applying multivariate statistical methods. Relative synonymous codon usage (RSCU) analysis disclosed bias of preferred synonymous codons towards A/U-ended codons. The overall codon usage bias in EIVs was slightly lower, and mainly affected by the nucleotide compositional constraints as inferred from the RSCU and effective number of codon (ENc) analysis. Our data suggested that codon usage pattern in EIVs is governed by the interplay of mutation pressure, natural selection from its hosts and undefined factors. The H7N7 subtype was found less fit to its host (horse) in comparison to H3N8, by possessing higher codon bias, lower mutation pressure and much less adaptation to tRNA pool of equine cells. To the best of our knowledge, this is the first report describing the codon usage analysis of the complete genomes of EIVs. The outcome of our study is likely to enhance our understanding of factors involved in viral adaptation, evolution, and fitness towards their hosts.     

Genome-wide comparative analysis of the codon usage patterns in plants

Codon usage analysis has been a classical area of study for decades and is important for evolution, mRNA translation, and new gene discovery. Recently, genome sequencing has made it possible to perform studies of the entire genome in plant kingdoms. The base composition of the coding sequence, codon usage pattern, codon pairs, and related indicators of relative synonymous codon usage (RSCU), including the Fop, Nc, RSCU, CAI and GC contents, were analyzed. We found that the GC content of single-celled algae is the highest, whereas dicotyledons are the lowest. Moreover, the base composition of plants is similar within the same family. In addition, the GC content of the second base of the codon is lower than the first and third base. In conclusion, the codon usage characteristics are opposite in Gramineae, single-celled algae, fern and dicotyledon, moss, and Pinaceae. Furthermore, the degree of codon usage bias is decreasing with evolution. Therefore, we hypothesize that the lower the plants, the more that they must optimize codons and that higher plants no longer need to optimize codons.     

CRPV genomes with synonymous codon optimizations in the CRPV E7 gene show phenotypic differences in growth and altered immunity upon E7 vaccination

Papillomaviruses use rare codons relative to their hosts. Recent studies have demonstrated that synonymous codon changes in viral genes can lead to increased protein production when the codons are matched to those of cells in which the protein is being expressed. We theorized that the immunogenicity of the virus would be enhanced by matching codons of selected viral genes to those of the host. We report here that synonymous codon changes in the E7 oncogene are tolerated in the context of the cottontail rabbit papillomavirus (CRPV) genome. Papilloma growth rates differ depending upon the changes made indicating that synonymous codons are not necessarily neutral. Immunization with wild type E7 DNA yielded significant protection from subsequent challenge by both wild type and codon-modified genomes. The reduction in growth was most dramatic with the genome containing the greatest number of synonymous codon changes.     

A test of translational selection at 'silent' sites in the human genome: base composition comparisons in alternatively spliced genes

Natural selection appears to discriminate among synonymous codons to enhance translational efficiency in a wide range of prokaryotes and eukaryotes. Codon bias is strongly related to gene expression levels in these species. In addition, between-gene variation in silent DNA divergence is inversely correlated with codon bias. However, in mammals, between-gene comparisons are complicated by distinctive nucleotide-content bias (isochores) throughout the genome. In this study, we attempted to identify translational selection by analyzing the DNA sequences of alternatively spliced genes in humans and in Drosophila melanogaster. Among codons in an alternatively spliced gene, those in constitutively expressed exons are translated more often than those in alternatively spliced exons. Thus, translational selection should act more strongly to bias codon usage and reduce silent divergence in constitutive than in alternative exons. By controlling for regional forces affecting base-composition evolution, this within-gene comparison makes it possible to detect codon selection at synonymous sites in mammals. We found that GC-ending codons are more abundant in constitutive than alternatively spliced exons in both Drosophila and humans. Contrary to our expectation, however, silent DNA divergence between mammalian species is higher in constitutive than in alternative exons.     

Synonymous codon usage of the VP2 gene of a very virulent infectious bursal disease virus isolate serial passaged in chicken embryos

Three very virulent infectious bursal disease virus (vvIBDV) strains were isolated from a single farm and shown to be phylogenetically related to the vvIBDV isolate UK661. In this study, a comparative analysis of the synonymous codon usage in the hypervariable region of theVP2 (vVP2) gene of the vvIBDV strains was done on viruses serially passaged in chicken embryos. Sequencing demonstrated that codons change during the serial passage in the vVP2 gene of the viruses. Nine codon mutations resulted in amino acids changes. The amino acid changes were I256V, I296L 6in isolate XA1989, A222P, I242V, Q253H, I256V in isolate XA1998, and Q253H, I256V, I296L in isolate XA2004. Three of the nine amino acid changes occurred at residue 256. The codons of the amino acids A232, N233, I234, T269, T283 and H338 changed to the synonymous codons in XA1989 after the 16th passage, in XA1998 after the 24th passage and in XA2004 22nd passage viruses. These mutations change the key amino acid residues Q253H and I256V in the domains which are essential for its virulence, and the synonymous codons were observed compared to classical virulent IBDV. The results indicated that the codon changes during the serial passage comprised of synonymous codon usage in the vVP2 gene of IBDV, and this synonymous codon bias was correlated with pathotypes. The extent of synonymous codon usage bias in the IBDV-vVP2 gene maybe influence the gene expression level and secondary structure of protein as well as hydrophobicity, therefore the results provide useful perspectives for evolution and understanding of the pathogenesis of IBDV.     

The Selective Advantage of Synonymous Codon Usage Bias in Salmonella

The genetic code in mRNA is redundant, with 61 sense codons translated into 20 different amino acids. Individual amino acids are encoded by up to six different codons but within codon families some are used more frequently than others. This phenomenon is referred to as synonymous codon usage bias. The genomes of free-living unicellular organisms such as bacteria have an extreme codon usage bias and the degree of bias differs between genes within the same genome. The strong positive correlation between codon usage bias and gene expression levels in many microorganisms is attributed to selection for translational efficiency. However, this putative selective advantage has never been measured in bacteria and theoretical estimates vary widely. By systematically exchanging optimal codons for synonymous codons in the tuf genes we quantified the selective advantage of biased codon usage in highly expressed genes to be in the range 0.2–4.2 x 10⁻⁴ per codon per generation. These data quantify for the first time the potential for selection on synonymous codon choice to drive genome-wide sequence evolution in bacteria, and in particular to optimize the sequences of highly expressed genes. This quantification may have predictive applications in the design of synthetic genes and for heterologous gene expression in biotechnology.     

紫花苜蓿叶绿体基因组密码子偏好性分析

为分析紫花苜蓿叶绿体基因组密码子偏好性的使用模式,该文以紫花苜蓿叶绿体基因组中筛选到的49条蛋白质编码序列为研究对象,利用CodonW、CUSP、CHIPS、SPSS等软件对其密码子的使用模式和偏好性进行研究。结果表明:(1)紫花苜蓿叶绿体基因的第3位密码子的平均GC含量为26.44%,有效密码子数(ENC)在40.6～51.41之间,多数密码子的偏好性较弱。(2)相对同义密码子使用度(RSCU)分析发现,RSCU>1 的密码子数目有30个,以A、U结尾的有29个,说明了紫花苜蓿叶绿体基因组A或U出现的频率较高。(3)中性分析发现,GC3与 GC12的相关性不显著,表明密码子偏性主要受自然选择的影响; ENC-plot 分析发现一部分基因落在曲线的下方及周围,表明突变也影响了部分密码子偏性的形成。此外,有17个密码子被鉴定为紫花苜蓿叶绿体基因组的最优密码子。紫花苜蓿叶绿体基因组的密码子偏好性可能受自然选择和突变的共同作用。该研究将为紫花苜蓿叶绿体基因工程的开展和目标性状的遗传改良奠定基础。     

Codon usage bias covaries with expression breadth and the rate of synonymous evolution in humans, but this is not evidence for selection.

In numerous species, from bacteria to Drosophila, evidence suggests that selection acts even on synonymous codon usage: codon bias is greater in more abundantly expressed genes, the rate of synonymous evolution is lower in genes with greater codon bias, and there is consistency between genes in the same species in which codons are preferred. In contrast, in mammals, while nonequal use of alternative codons is observed, the bias is attributed to the background variance in nucleotide concentrations, reflected in the similar nucleotide composition of flanking noncoding and exonic third sites. However, a systematic examination of the covariants of codon usage controlling for background nucleotide content has yet to be performed. Here we present a new method to measure codon bias that corrects for background nucleotide content and apply this to 2396 human genes. Nearly all (99%) exhibit a higher amount of codon bias than expected by chance. The patterns associated with selectively driven codon bias are weakly recovered: Broadly expressed genes have a higher level of bias than do tissue-specific genes, the bias is higher for genes with lower rates of synonymous substitutions, and certain codons are repeatedly preferred. However, while these patterns are suggestive, the first two patterns appear to be methodological artifacts. The last pattern reflects in part biases in usage of nucleotide pairs. We conclude that we find no evidence for selection on codon usage in humans.     

Universal Pattern and Diverse Strengths of Successive Synonymous Codon Bias in Three Domains of Life, Particularly Among Prokaryotic Genomes

There has been significant progress in understanding the process of protein translation in recent years. One of the best examples is the discovery of usage bias in successive synonymous codons and its role in eukaryotic translation efficiency. We observed here a similar type of bias in the other two life domains, bacteria and archaea, although the bias strength was much smaller than in eukaryotes. Among 136 prokaryotic genomes, 98 were found to have significant bias from random use of successive synonymous codons with Z scores larger than three. Furthermore, significantly different bias strengths were found between prokaryotes grouped by various genomic or biochemical characteristics. Interestingly, the bias strength measured by a general Z score could be fitted well (R = 0.83, P < 10⁻¹⁵) by three genomic variables: genome size, G + C content, and tRNA gene number based on multiple linear regression. A different distribution of synonymous codon pairs between protein-coding genes and intergenic sequences suggests that bias is caused by translation selection. The present results indicate that protein translation is tuned by codon (pair) usage, and the intensity of the regulation is associated with genome size, tRNA gene number, and G + C content.     

Nucleotide composition and synonymous codon usage of open reading frames in Norovirus GII.4 variants

Abstract

Norovirus GII.4 variants, a genotype in genogroup II belonging to the genus Norovirus, is a single-strand positive sense RNA containing three open reading frames (ORF1, ORF2 and ORF3) and is the most important pathogen causing nonbacterial gastroenteritis outbreaks. By using bioinformatic softwares such as Codon W, SPSS and so on, a total of 292 strains of the viruses isolated from 1974 to 2016 were analyzed for nucleotide composition and synonymous codon usage in each ORF. The result shows that it is enriched for A over the other bases in nucleotide composition, G behind the other bases in the 3^rd site of all synonymous codons in the three ORFs. The patterns of nucleotide composition and codon bias of ORF2 are similar to those of ORF3 and different from those of ORF1. There are generally UpA motif and CpG motif in the codons with the lowest proportion. Correspondence analysis indicates that the codon usage may be changing over a certain time period for ORF1 in 2006 and 2012, ORF2 in 2012, and ORF3 in 2013. ENC (effective number of codons) plot and other analyses indicate that both natural selection and mutational pressure play partly roles in the ORFs, but natural selection is more important for ORF2 and ORF3. Besides, we also found all optimal codons in the ORFs. The study provides a basic understanding of the mechanism for norovirus GII.4 codon usage bias. Abbreviations ORF Open Reading Frame

ENC Effective Number of Codons

COA correspondence analysis

RSCU Relative Synonymous Codon Usage

CAI Codon Adaptation Index

CBI Codon Bias Index

Fop frequency of optimal codons

L_sym number of synonymous codons

L_aa length amino acids

GRAVY grand average of hydropathicity

Aroma aromaticity

Communicated by Ramaswamy H. Sarma     

Codon usage in the siliceous sponge Geodia cydonium: highly expressed genes in the simplest multicellular animals prefer C- and G-ending codons

Among a sample of 39 Geodia cydonium (Demospongiae, Porifera) genes, with an average G + C content of 51.2%, extensive structural heterogeneity and considerable variations in synonymous codon usage were found. The G + C content of coding sequences and G + C content at silent codon positions (GC3S) varied from 42.4 to 59.2% and from 35.6 to 76.5%, respectively. Correspondence analysis of 39 genes revealed that putative highly expressed genes preferentially use a limited subset of codons, which were therefore defined as preferred codons in G. cydonium . A total of 22 preferred codons for 18 amino acids with synonyms in codons were identified and they all (with one exception) end with C or G. Among these codons there are also C- and G-ending codons which were previously identified as codons optimal for translation in a variety of eukaryotes, including metazoans and plants. The bias in synonymous codon usage in putative highly expressed G. cydonium genes is moderate, indicating that these genes are not shaped under strong natural selection. We postulate that the preference for C- and G-ending codons was already established in the ancestor of all Metazoa, including also sponges. This ancestor most probably also had a G + C rich genome. The selection toward C- and G-ending codons has been largely conserved throughout eukaryote evolution; exceptions are, for example, mammals for which strong mutational biases caused switches from that rule.     

Comparative Analysis of Codon Usage Bias and Codon Context Patterns between Dipteran and Hymenopteran Sequenced Genomes

Background

Codon bias is a phenomenon of non-uniform usage of codons whereas codon context generally refers to sequential pair of codons in a gene. Although genome sequencing of multiple species of dipteran and hymenopteran insects have been completed only a few of these species have been analyzed for codon usage bias.

Methods and Principal Findings

Here, we use bioinformatics approaches to analyze codon usage bias and codon context patterns in a genome-wide manner among 15 dipteran and 7 hymenopteran insect species. Results show that GAA is the most frequent codon in the dipteran species whereas GAG is the most frequent codon in the hymenopteran species. Data reveals that codons ending with C or G are frequently used in the dipteran genomes whereas codons ending with A or T are frequently used in the hymenopteran genomes. Synonymous codon usage orders (SCUO) vary within genomes in a pattern that seems to be distinct for each species. Based on comparison of 30 one-to-one orthologous genes among 17 species, the fruit fly Drosophila willistoni shows the least codon usage bias whereas the honey bee (Apis mellifera) shows the highest bias. Analysis of codon context patterns of these insects shows that specific codons are frequently used as the 3′- and 5′-context of start and stop codons, respectively.

Conclusions

Codon bias pattern is distinct between dipteran and hymenopteran insects. While codon bias is favored by high GC content of dipteran genomes, high AT content of genes favors biased usage of synonymous codons in the hymenopteran insects. Also, codon context patterns vary among these species largely according to their phylogeny.     

Mutation bias is the driving force of codon usage in the Gallus gallus genome

Synonymous codons are used with different frequencies both among species and among genes within the same genome and are controlled by neutral processes (such as mutation and drift) as well as by selection. Up to now, a systematic examination of the codon usage for the chicken genome has not been performed. Here, we carried out a whole genome analysis of the chicken genome by the use of the relative synonymous codon usage (RSCU) method and identified 11 putative optimal codons, all of them ending with uracil (U), which is significantly departing from the pattern observed in other eukaryotes. Optimal codons in the chicken genome are most likely the ones corresponding to highly expressed transfer RNA (tRNAs) or tRNA gene copy numbers in the cell. Codon bias, measured as the frequency of optimal codons (Fop), is negatively correlated with the G + C content, recombination rate, but positively correlated with gene expression, protein length, gene length and intron length. The positive correlation between codon bias and protein, gene and intron length is quite different from other multi-cellular organism, as this trend has been only found in unicellular organisms. Our data displayed that regional G + C content explains a large proportion of the variance of codon bias in chicken. Stepwise selection model analyses indicate that G + C content of coding sequence is the most important factor for codon bias. It appears that variation in the G + C content of CDSs accounts for over 60% of the variation of codon bias. This study suggests that both mutation bias and selection contribute to codon bias. However, mutation bias is the driving force of the codon usage in the Gallus gallus genome. Our data also provide evidence that the negative correlation between codon bias and recombination rates in G. gallus is determined mostly by recombination-dependent mutational patterns.     

Factors influencing the synonymous codon and amino acid usage bias in AT-rich Pseudomonas aeruginosa phage PhiKZ

To reveal how the AT-rich genome of bacteriophage PhiKZ has been shaped in order to carryout its growth in the GC-rich host Pseudomonas aeruginosa,synonymous codon and amino acid usage bias ofPhiKZ was investigated and the data were compared with that of P.aeruginosa.It was found that synonymouscodon and amino acid usage of PhiKZ was distinct from that of P.aeruginosa.In contrast to P.aeruginosa,the third codon position of the synonymous codons of PhiKZ carries mostly A or T base;codon usage biasin PhiKZ is dictated mainly by mutational bias and,to a lesser extent,by translational selection.A clusteranalysis of the relative synonymous codon usage values of 16 myoviruses including PhiKZ shows that PhiKZis evolutionary much closer to Escherickia coli phage T4.Further analysis reveals that the three factors ofmean molecular weight,aromaticity and cysteine content are mostly responsible for the variation of aminoacid usage in PhiKZ proteins,whereas amino acid usage of P.aeruginosa proteins is mainly governed bygrand average of hydropathicity,aromaticity and cysteine content.Based on these observations,we suggestthat codons of the phage-like PhiKZ have evolved to preferentially incorporate the smaller amino acid residuesinto their proteins during translation,thereby economizing the cost of its development in GC-rich P.aeruginosa.     

Synonymous codon ordering: a subtle but prevalent strategy of bacteria to improve translational efficiency

Background

In yeast coding sequences, once a particular codon has been used, subsequent occurrence of the same amino acid tends to use codons sharing the same tRNA. Such a phenomenon of co-tRNA codons pairing bias (CTCPB) is also found in some other eukaryotes but it is not known whether it occurs in prokaryotes.

Methodology/Principal Findings

In this study, we focused on a total of 773 bacterial genomes to investigate their synonymous codon pairing preferences. After calculating the actual frequencies of synonymous codon pairs and comparing them with their expected values, we detected an obvious pairing bias towards identical codon pairs. This seems consistent with the previously reported CTCPB phenomenon, since identical codons are certainly read by the same tRNA. However, among co-tRNA but non-identical codon pairs, only 22 were often found overrepresented, suggesting that many co-tRNA codons actually do not preferentially pair together in prokaryotes. Therefore, the previously reported co-tRNA codons pairing rule needs to be more rigorously defined. The affinity differences between a tRNA anticodon and its readable codons should be taken into account. Moreover, both within-gene-shuffling tests and phylogenetic analyses support the idea that translational selection played an important role in shaping the observed synonymous codon pairing pattern in prokaryotes.

Conclusions

Overall, a high level of synonymous codon pairing bias was detected in 73% investigated bacterial species, suggesting the synonymous codon ordering strategy has been prevalently adopted by prokaryotes to improve their translational efficiencies. The findings in this study also provide important clues to better understand the complex dynamics of translational process.     

Synonymous codon usage in Thermosynechococcus elongatus (cyanobacteria) identifies the factors shaping codon usage variation

Analysis of synonymous codon usage pattern in the genome of a thermophilic cyanobacterium, Thermosynechococcus elongatus BP-1 using multivariate statistical analysis revealed a single major explanatory axis accounting for codon usage variation in the organism. This axis is correlated with the GC content at third base of synonymous codons (GC3s) in correspondence analysis taking T. elongatus genes. A negative correlation was observed between effective number of codons i.e. Nc and GC3s. Results suggested a mutational bias as the major factor in shaping codon usage in this cyanobacterium. In comparison to the lowly expressed genes, highly expressed genes of this organism possess significantly higher proportion of pyrimidine-ending codons suggesting that besides, mutational bias, translational selection also influenced codon usage variation in T. elongatus. Correspondence analysis of relative synonymous codon usage (RSCU) with A, T, G, C at third positions (A3s, T3s, G3s, C3s, respectively) also supported this fact and expression levels of genes and gene length also influenced codon usage. A role of translational accuracy was identified in dictating the codon usage variation of this genome. Results indicated that although mutational bias is the major factor in shaping codon usage in T. elongatus, factors like translational selection, translational accuracy and gene expression level also influenced codon usage variation.