Evolution of synonymous codon usage in metazoans

The vast amount of data generated by genome projects and the recent development of population genetics models make comparative sequence analyses a very powerful approach with which to detect the footprints of selection. Studies on synonymous codon usage show that traits with minuscule phenotypic effects can be molded by natural selection. But variations in mutation patterns and processes of biased gene conversion make it difficult to distinguish between selective and neutral evolutionary processes.     

Analysis of synonymous codon usage bias in Chlamydia

Chlamydiae are obligate intracellular bacterial pathogens that cause ocular and sexuallytransmitted diseases,and are associated with cardiovascular diseases.The analysis of codon usage mayimprove our understanding of the evolution and pathogenesis of Chlamydia and allow reengineering of targetgenes to improve their expression for gene therapy.Here,we analyzed the codon usage of C.muridarum,C.trachomatis(here indicating biovar trachoma and LGV),C.pneumoniae,and C.psittaci using the codonusage database and the CUSP(Create a codon usage table)program of EMBOSS(The European MolecularBiology Open Software Suite).The results show that the four genomes have similar codon usage patterns,with a strong bias towards the codons with A and T at the third codon position.Compared with Homosapiens,the four chlamydial species show discordant seven or eight preferred codons.The ENC(effectivenumber of codons used in a gene)-plot reveals that the genetic heterogeneity in Chlamydia is constrained bythe G+C content,while translational selection and gene length exert relatively weaker influences.Moreover,mutational pressure appears to be the major determinant of the codon usage variation among the chlamydialgenes.In addition,we compared the codon preferences of C.trachomatis with those of E.coli,yeast,adenovirus and Homo sapiens.There are 23 codons showing distinct usage differences between C.trachomatisand E.coli,24 between C.trachomatis and adenovirus,21 between C.trachomatis and Homo sapiens,butonly six codons between C.trachomatis and yeast.Therefore,the yeast system may be more suitable for theexpression of chlamydial genes.Finally,we compared the codon preferences of C.trachomatis with those ofsix eukaryotes,eight prokaryotes and 23 viruses.There is a strong positive correlation between the differ-ences in coding GC content and the variations in codon bias(r=0.905,P<0,001).We conclude that thevariation of codon bias between C.trachomatis and other organisms is much less influenced by phylogeneticlineage and primarily determined by the extent of disparities in GC content.     

昆虫质型多角体病毒同义密码子使用模式分析

昆虫质型多角体病毒(cypovirus,CPV)是害虫种群重要调节因子,可用作生物防治剂。本研究采用多元统计分析方法对7种CPV进行密码子使用模式分析,结果表明:CPV密码子使用偏好性较弱,多数基因密码子使用模式受碱基组成影响,少数基因密码子使用模式除碱基组成外还有其它影响因素;中性绘图分析表明碱基组成主要受选择压力影响,受突变影响较小。同一电泳型CPV之间比同一宿主CPV之间共有的偏好性密码子多。CPV基因组内10个基因组片段之间密码子偏好性存在差异。CPV密码子偏好性与宿主昆虫密码子偏好性存在差异,所有CPV与其宿主昆虫共有的偏好性密码子均较少。对应分析进一步证明碱基组成是影响密码子使用的主要因素,不同电泳型CPV具有不同的密码子使用模式。聚类分析表明同一电泳型CPV密码子使用模式相似,同一宿主CPV密码子使用模式差异较大。     

The effect of context on synonymous codon usage in genes with low codon usage bias.

The effect of neighbouring bases on the usage of synonymous codons in genes with low codon usage bias in yeast and E. coli is examined. The codon adaptation index is employed to identify a group of genes in each organism with low codon usage bias, which are likely to be weakly expressed. A similar pattern is found in complementary sequences with respect to synonymous usage of A vs G or of U vs C. It is suggested that this may reflect an effect of context on mutation rates in weakly expressed genes.     

基于相对密码子频率的芜菁花叶病毒基因组序列的进化分析

现有92株芜菁花叶病毒(TuMV)的全基因组序列已在GenBank报道,据分析报道其中58株不含重组序列。利用系统聚类法对92株TuMV的全基因组序列和58株TuMV全基因组序列的相对密码子频率RSCU值进行聚类分析。同时利用系统发育分析方法分析了这92株和58株TuMV全基因组序列。结果发现,92株芜菁花叶病毒株的密码子偏性聚类树与其系统进化树的一致度很低;而不含重组序列的58株芜菁花叶病毒株的密码子偏性聚类树与其系统进化树的一致度却非常高,且与寄生宿主类型基本对应。这表明在不存在重组的情况下,TuMV密码子频率的偏性可能是宿主内的一种选择压力,影响TuMV基因组的点突变进化方向,促使TuMV适应宿主内环境。     

Comparative analysis of human coronaviruses focusing on nucleotide variability and synonymous codon usage patterns

The prevailing COVID-19 pandemic has drawn the attention of the scientific community to study the evolutionary origin of Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2). This study is a comprehensive quantitative analysis of the protein-coding sequences of seven human coronaviruses (HCoVs) to decipher the nucleotide sequence variability and codon usage patterns. It is essential to understand the survival ability of the viruses, their adaptation to hosts, and their evolution.The current analysis revealed a high abundance of the relative dinucleotide (odds ratio), GC and CT pairs in the first and last two codon positions, respectively, as well as a low abundance of the CG pair in the last two positions of the codon, which might be related to the evolution of the viruses. A remarkable level of variability of GC content in the third position of the codon among the seven coronaviruses was observed. Codons with high RSCU values are primarily from the aliphatic and hydroxyl amino acid groups, and codons with low RSCU values belong to the aliphatic, cyclic, positively charged, and sulfur-containing amino acid groups. In order to elucidate the evolutionary processes of the seven coronaviruses, a phylogenetic tree (dendrogram) was constructed based on the RSCU scores of the codons. The severe and mild categories CoVs were positioned in different clades. A comparative phylogenetic study with other coronaviruses depicted that SARS-CoV-2 is close to the CoV isolated from pangolins (Manis javanica, Pangolin-CoV) and cats (Felis catus, SARS(r)-CoV). Further analysis of the effective number of codon (ENC) usage bias showed a relatively higher bias for SARS-CoV and MERS-CoV compared to SARS-CoV-2. The ENC plot against GC3 suggested that the mutational bias might have a role in determining the codon usage variation among candidate viruses.A codon adaptability study on a few human host parasites (from different kingdoms), including CoVs, showed a diverse adaptability pattern. SARS-CoV-2 and SARS-CoV exhibit relatively lower but similar codon adaptability compared to MERS-CoV.     

Analysis of synonymous codon usage in 11 human bocavirus isolates

Human Bocavirus (HBoV) is a novel virus which can cause respiratory tract disease in infants or children. In this study, the codon usage bias and the base composition variations in the available 11 complete HBoV genome sequences have been investigated. Although, there is a significant variation in codon usage bias among different HBoV genes, codon usage bias in HBoV is a little slight, which is mainly determined by the base compositions on the third codon position and the effective number of codons (ENC) value. The results of correspondence analysis (COA) and Spearman's rank correlation analysis reveals that the G + C compositional constraint is the main factor that determines the codon usage bias in HBoV and the gene's function also contributes to the codon usage in this virus. Moreover, it was found that the hydrophobicity of each protein and the gene length are also critical in affecting these viruses’ codon usage, although they were less important than that of the mutational bias and the genes’ function. At last, the relative synonymous codon usage (RSCU) of 44 genes from these 11 HBoV isolates is analyzed using a hierarchical cluster method. The result suggests that genes with same function yet from different isolates are classified into the same lineage and it does not depend on geographical location. These conclusions not only can offer an insight into the codon usage patterns and gene classification of HBoV, but also may help in increasing the efficiency of gene delivery/expression systems.     

Analysis of synonymous codon usage patterns in the genus Rhizobium

The codon usage patterns of rhizobia have received increasing attention. However, little information is available regarding the conserved features of the codon usage patterns in a typical rhizobial genus. The codon usage patterns of six completely sequenced strains belonging to the genus Rhizobium were analysed as model rhizobia in the present study. The relative neutrality plot showed that selection pressure played a role in codon usage in the genus Rhizobium. Spearman’s rank correlation analysis combined with correspondence analysis (COA) showed that the codon adaptation index and the effective number of codons (ENC) had strong correlation with the first axis of the COA, which indicated the important role of gene expression level and the ENC in the codon usage patterns in this genus. The relative synonymous codon usage of Cys codons had the strongest correlation with the second axis of the COA. Accordingly, the usage of Cys codons was another important factor that shaped the codon usage patterns in Rhizobium genomes and was a conserved feature of the genus. Moreover, the comparison of codon usage between highly and lowly expressed genes showed that 20 unique preferred codons were shared among Rhizobium genomes, revealing another conserved feature of the genus. This is the first report of the codon usage patterns in the genus Rhizobium.     

Measure of synonymous codon usage diversity among genes in bacteria

Background  

In many bacteria, intragenomic diversity in synonymous codon usage among genes has been reported. However, no quantitative attempt has been made to compare the diversity levels among different genomes. Here, we introduce a mean dissimilarity-based index (Dmean) for quantifying the level of diversity in synonymous codon usage among all genes within a genome.     

同义密码子通过精微翻译选择机制实现对基因的表达调控

自然界中,同义密码子的存在使得众多氨基酸能够同时被多种密码子编码合成。随着研究的深入,同义密码子使用偏嗜性发挥出的生物学功能已经渗透到了基因复制、转录、翻译以及化学修饰等生命活动过程中。基于同义密码子使用偏嗜性的生物学特性,陆续发现密码子对(codon pair)和密码子共现(codon co-occurrence)同样在使用模式上存在明显的偏嗜性。在基因表达的过程中,针对编码序列的密码子优化能够显著提升基因的表达水平,这在生物工程领域对于蛋白表达有着重要的生物学意义。此外,同义密码子使用模式在调控基因转录、化学修饰以及翻译过程中间接控制着细胞内生命活动的有序性。而这些与同义密码子使用模式有着千丝万缕联系的生命过程主要是受精微翻译选择压力来调控运行的。本文中,我们结合当前同义密码子使用模式介导的精微翻译选择压力,简述密码子使用模式如何从转录、化学修饰以及翻译等方面来影响基因表达及蛋白产物生物学功能。这将为今后生物工程学领域如何优化蛋白高效表达以及深入研究重要生物学活动中基因表达调控提供可参考的思路与理念。     

An evolutionary perspective on synonymous codon usage in unicellular organisms

Summary Observed patterns of synonymous codon usage are explained in terms of the joint effects of mutation, selection, and random drift. Examination of the codon usage in 165Escherichia coli genes reveals a consistent trend of increasing bias with increasing gene expression level. Selection on codon usage appears to be unidirectional, so that the pattern seen in lowly expressed genes is best explained in terms of an absence of strong selection. A measure of directional synonymous-codon usage bias, the Codon Adaptation Index, has been developed. In enterobacteria, rates of synonymous substitution are seen to vary greatly among genes, and genes with a high codon bias evolve more slowly. A theoretical study shows that the patterns of extreme codon bias observed for someE. coli (and yeast) genes can be generated by rather small selective differences. The relative plausibilities of various theoretical models for explaining nonrandom codon usage are discussed.Presented at the FEBS Symposium on Genome Organization and Evolution, held in Crete, Greece, September 1–5, 1986     

Factors influencing synonymous codon and amino acid usage biases in Mimivirus

Synonymous codon and amino acid usage biases have been investigated in 903 Mimivirus protein-coding genes in order to understand the architecture and evolution of Mimivirus genome. As expected for an AT-rich genome, third codon positions of the synonymous codons of Mimivirus carry mostly A or T bases. It was found that codon usage bias in Mimivirus genes is dictated both by mutational pressure and translational selection. Evidences show that four factors such as mean molecular weight (MMW), hydropathy, aromaticity and cysteine content are mostly responsible for the variation of amino acid usage in Mimivirus proteins. Based on our observation, we suggest that genes involved in translation, DNA repair, protein folding, etc., have been laterally transferred to Mimivirus a long ago from living organism and with time these genes acquire the codon usage pattern of other Mimivirus genes under selection pressure.     

Analysis of synonymous codon usage patterns in different plant mitochondrial genomes

Codon usage in mitochondrial genome of the six different plants was analyzed to find general patterns of codon usage in plant mitochondrial genomes. The neutrality analysis indicated that the codon usage patterns of mitochondrial genes were more conserved in GC content and no correlation between GC12 and GC3. T and A ending codons were detected as the preferred codons in plant mitochondrial genomes. The Parity Rule 2 plot analysis showed that T was used more frequently than A. The EN_C-plot showed that although a majority of the points with low EN_C values were lying below the expected curve, a few genes lied on the expected curve. Correspondence analysis of relative synonymous codon usage yielded a first axis that explained only a partial amount of variation of codon usage. These findings suggest that natural selection is likely to be playing a large role in codon usage bias in plant mitochondrial genomes, but not only natural selection but also other several factors are likely to be involved in determining the selective constraints on codon bias in plant mitochondrial genomes. Meantime, 1 codon (P. patens), 6 codons (Z. mays), 9 codons (T. aestivum), 15 codons (A. thaliana), 15 codons (M. polymorpha) and 15 codons (N. tabacum) were defined as the preferred codons of the six plant mitochondrial genomes.     

No evidence for tissue-specific adaptation of synonymous codon usage in humans

It has been proposed that the synonymous codon usage of human tissue-specific genes was under selective pressure to modulate the expression of proteins by codon-mediated translational control (Plotkin, J. B., H. Robins, and A. J. Levine. 2004. Tissue-specific codon usage and the expression of human genes. Proc. Natl. Acad. Sci. USA 101:12588-12591.) To test this model, we analyzed by internal correspondence analysis the codon usage of 2,126 human tissue-specific genes expressed in 18 different tissues. We confirm that synonymous codon usage differs significantly between the tissues. However, the effect is very weak: the variability of synonymous codon usage between tissues represents only 2.3% of the total codon usage variability. Moreover, this variability is directly linked to isochore-scale (>100 kb) variability of GC-content that affect both coding and introns or intergenic regions. This demonstrates that variations of synonymous codon usage between tissue-specific genes expressed in different tissues are due to regional variations of substitution patterns and not to translational selection.     

转座因子对水稻同义密码子使用偏性的影响

利用635个包含完整转座因子插入的粳稻CDS序列,对转座因子如何影响基因编码区的碱基组成及基因的表达水平,进而对基因同义密码子的使用偏性产生影响进行了详细分析。结果表明:转座因子插入极显著地影响到基因编码区的同义密码子使用但并非唯一因素;转座因子对不同基因的表达水平具有多重影响,有的基因表达被抑制,有的反而增强,但总的来说它减少了基因表达水平对同义密码子使用的影响程度。     

同义密码子使用偏嗜性对mRNA半衰期及翻译调控的影响北大核心CSCD

随着基因组学和转录组学在不同生物体遗传和细胞生物学领域的广泛应用,同义密码子使用的偏嗜性逐渐被接受,并且在研究生物进化与生物表型之间的深层联系时,同义密码子使用模式受到相关领域研究人员的重视。信使RNA(messenger RNA,mRNA)最终表达出具有正常生物活性的蛋白产物是生命活动的重要环节。被称为“第二遗传密码”的同义密码子使用模式,可以通过精微调控翻译选择压力等分子机制,从转录调控、翻译调控及代谢活动等水平表达其承载的遗传信息。研究表明,mRNA半衰期的长短对mRNA活性以及转录和翻译过程有显著的影响。因此,系统地归纳同义密码子使用模式在基因转录、翻译调控及翻译后修饰等生命活动中所扮演的角色,将有助于全方位审视生物体如何巧妙利用密码子使用模式所产生的遗传效应来精准合成不同种类蛋白质,并以此保障生长或分化的特定基因表达程序顺利执行、维持正常的生命周期。     

Sequence-based prediction of protein-protein interactions by means of codon usage

We introduce a novel approach to predict interaction of two proteins solely by analyzing their coding sequences. We found that similarity in codon usage is a strong predictor of protein-protein interactions and, for high specificity values, is as sensitive as the most powerful current prediction methods. Furthermore, combining codon usage with other predictors results in a 75% increase in sensitivity at a precision of 50%, compared to prediction without considering codon usage.     

Online synonymous codon usage analyses with the ade4 and seqinR packages

SUMMARY: Correspondence analysis of codon usage data is a widely used method in sequence analysis, but the variability in amino acid composition between proteins is a confounding factor when one wants to analyse synonymous codon usage variability. A simple and natural way to cope with this problem is to use within-group correspondence analysis. There is, however, no user-friendly implementation of this method available for genomic studies. Our motivation was to provide to the community a Web facility to easily study synonymous codon usage on a subset of data available in public genomic databases. AVAILABILITY: Availability through the Pole Bioinformatique Lyonnais (PBIL) Web server at http://pbil.univ-lyon1.fr/datasets/charif04/ with a demo allowing us to reproduce the figure in the present application note. All underlying software is distributed under a GPL licence. CONTACT: http://pbil.univ-lyon1.fr/members/lobry.     

AT2-AT3-profiling: a new look at synonymous codon usage

The teleology of synonymous codon usage (SCU) still awaits a unifying concept. Here the 2nd codon letter of human mRNA-codons was graphically, aided by a computer program, put in relation to the 3rd codon letter, the carrier of SCU: AT2, the density of A+T in 2nd codon position, behaves to AT3, the analogous density of the 3rd codon position, mostly in an inverse fashion that can be expressed as typical figures: mRNAs with an overall AT-density below 50% have a tendency to produce bulky figures called "red dragons" (when redness is attributed to graph-areas, where AT3< AT2), while mRNAs with an AT-density above 50% produce a pattern called "harlequin" consisting of alternating red and blue (blueness, in analogy, when AT3>AT2) diamonds. With more diversion of AT3 from AT2, the harlequin patterns can assume the pattern of a "blue dragon". By analysing the mRNA of known proteins, these patterns can be correlated with certain functional regions: proteins with multiple transmembrane passages show bulky "red dragons", structural proteins with a high glycine- and proline content such as collagen result in "blue dragons". Non-coding mRNAs tend to show a balance between AT2 and AT3 and hence "harlequin patterns". Signal peptides usually code red due to a low AT3 with an AT2-density at the expectance level. With this technique DNA-sequences of as yet unknown functional meaning were scanned. When stretches of harlequin patterns appear interrupted by red or blue dragons, closer scrutiny of these stretches can reveal ORFs which deserve to be looked at more closely for their protein-informational content. At least in humans, SCU appears to follow protein-dependent AT2-density in a reciprocal fashion and does not seem to serve the purpose of influencing mRNA secondary structure which is discussed in depth.