A cross talk between codon usage bias in human oncogenes

Background: Oncogenes are the genes that have the potential to induce cancer. The extent and origin of codon usage bias is an important indicator of the forces shaping genome evolution in living organisms. Results: We observed moderate correlations between gene expression as measured by CAI and GC content at any codon site. The findings of our results showed that there is a significant positive correlation (Spearman''s r= 0.45, P<0.01) between GC content at first and second codon position with that of third codon position. Further, striking negative correlation (r = -0.771, P < 0.01) between ENC with the GC3s values of each gene and positive correlation (r=0.644, P<0.01) in between CAI and ENC was also observed. Conclusions: The mutation pressure is the major determining factor in shaping the codon usage pattern of oncogenes rather than natural selection since its effects are present at all codon positions. The results revealed that codon usage bias determines the level of oncogene expression in human. Highly expressed oncogenes had rich GC contents with high degree of codon usage bias.     

Synonymous codon usage in chloroplast genome of Coffea arabica

Synonymous codon usage of 53 protein coding genes in chloroplast genome of Coffea arabica was analyzed for the first time to find out the possible factors contributing codon bias. All preferred synonymous codons were found to use A/T ending codons as chloroplast genomes are rich in AT. No difference in preference for preferred codons was observed in any of the two strands, viz., leading and lagging strands. Complex correlations between total base compositions (A, T, G, C, GC) and silent base contents (A₃, T₃, G₃, C₃, GC₃) revealed that compositional constraints played crucial role in shaping the codon usage pattern of C. arabica chloroplast genome. ENC Vs GC₃ plot grouped majority of the analyzed genes on or just below the left side of the expected GC₃ curve indicating the influence of base compositional constraints in regulating codon usage. But some of the genes lie distantly below the continuous curve confirmed the influence of some other factors on the codon usage across those genes. Influence of compositional constraints was further confirmed by correspondence analysis as axis 1 and 3 had significant correlations with silent base contents. Correlation of ENC with axis 1, 4 and CAI with 1, 2 prognosticated the minor influence of selection in nature but exact separation of highly and lowly expressed genes could not be seen. From the present study, we concluded that mutational pressure combined with weak selection influenced the pattern of synonymous codon usage across the genes in the chloroplast genomes of C. arabica.     

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。     

Comparative genome sequence analysis of Sulfolobus acidocaldarius and 9 other isolates of its genus for factors influencing codon and amino acid usage

In the present study, major constraints for codon and amino acid usage of Sulfolobus acidocaldarius, Sulfolobus solfataricus, Sulfolobus tokodali, Sulfolobus islandis and 6 other isolates from islandicus species of genus Sulfolobus were investigated. Correspondence analysis revealed high significant correlation between the major trend of synonymous codon usage and gene expression level, as assessed by the “Codon Adaptation Index” (CAI). There is a significant negative correlation between Nc (Effective number of codons) and CAI demonstrating role of codon bias as an important determinant of codon usage. The significant correlation between major trend of synonymous codon usage and GC3s (G + C at third synonymous position) indicated dominant role of mutational bias in codon usage pattern. The result was further supported from SCUO (synonymous codon usage order) analysis. The amino acid usage was found to be significantly influenced by aromaticity and hydrophobicity of proteins. However, translational selection which causes a preference for codons that are most rapidly translated by current tRNA with multiple copy numbers was not found to be highly dominating for all studied isolates. Notably, 26 codons that were found to be optimally used by genes of S. acidocaldarius at higher expression level and its comparative analysis with 9 other isolates may provide some useful clues for further in vivo genetic studies on this genus.     

Analysis of codon usage in type 1 and the new genotypes of duck hepatitis virus

In this study, an abundant (A + U)% and low codon bias were revealed in duck hepatitis virus type 1 (DHV-1) and the new serotype strains isolated from Taiwan, South Korea and Mainland China (DHV-N). The general correlation between base composition and codon usage bias suggests that mutational pressure rather than natural selection is the main factor that determines the codon usage bias in these samples. By comparative analysis of the codon usage patterns of 40 ORFs of DHV, we found that all of DHV-1 strains grouped in genotype C; the DHV-N strains isolated in South Korea and China clustered into genotypes B; and the DHV-N strains isolated from Taiwan clustered into genotypes A. The findings revealed that more than one subtype of DHV-1 circulated in East Asia. Furthermore, the results of phylogenetic analyses based on RSCU values and Clustal W method indicated obvious phylogenetic congruities. This suggested that better genome consistency of DHV may exist in nature and phylogenetic analyses based on RSCU values maybe a good method in classifying genotypes of the virus. Our work might give some clues to the features and some evolutionary information of DHV.     

Codon bias and gene expression of mitochondrial ND2 gene in chordates

Background: Mitochondrial ND gene, which encodes NADH dehydrogenase, is the first enzyme of the mitochondrial electron transport chain. Leigh syndrome, a neurodegenerative disease caused by mutation in the ND2 gene (T4681C), is associated with bilateral symmetric lesions in basal ganglia and subcortical brain regions. Therefore, it is of interest to analyze mitochondrial DNA to glean information for evolutionary relationship. This study highlights on the analysis of compositional dynamics and selection pressure in shaping the codon usage patterns in the coding sequence of MT-ND2 gene across pisces, aves and mammals by using bioinformatics tools like effective number of codons (ENC), codon adaptation index (CAI), relative synonymous codon usage (RSCU) etc. Results: We observed a low codon usage bias as reflected by high ENC values in MT-ND2 gene among pisces, aves and mammals. The most frequently used codons were ending with A/C at the 3^rd position of codon and the gene was AT rich in all the three classes. The codons TCA, CTA, CGA and TGA were over represented in all three classes. The F1 correspondence showed significant positive correlation with G, T3 and CAI while the F2 axis showed significant negative correlation with A and T but significant positive correlation with G, C, G3, C3, ENC, GC, GC1, GC2 and GC3. Conclusions: The codon usage bias in MTND2 gene is not associated with expression level. Mutation pressure and natural selection affect the codon usage pattern in MT-ND 2 gene.     

杜仲基因密码子使用模式分析

为了解杜仲基因密码子使用模式,该文以杜仲基因组密码子为研究对象,运用CodonW软件对杜仲的320个蛋白编码基因进行同义密码子相对使用频率(RSCU)分析、ENC-GC3s关联分析编码基因的密码子ENC值、PR2-plot偏倚分析编码基因的密码子碱基使用频率,并运用CUSP软件与Codon Usage Database...     

Prediction of whole-genome DNA G + C content within the genus Aeromonas based on housekeeping gene sequences

Different methods are available to determine the G + C content (e.g. thermal denaturation temperature or high performance liquid chromatography, HPLC), but obtained values may differ significantly between strains, as well as between laboratories. Recently, several authors have demonstrated that the genomic DNA G + C content of prokaryotes can be reliably estimated from one or several protein coding gene nucleotide sequences. Few G + C content values have been published for the Aeromonas species described and the data, when available, are often incomplete or provide only a range of values. Our aim in this current work was twofold. First, the genomic G + C content of the type or reference strains of all species and subspecies of the genus Aeromonas was determined with a traditional experimental method in the same laboratory. Second, we wanted to see if the sequence-based method to estimate the G + C content described by Fournier et al. [7] could be applied to determine the G + C content of the different species of Aeromonas from the sequences of the genes used in taxonomy or phylogeny for this genus.     

糜子叶绿体基因组密码子使用偏性的分析

密码子使用偏性（CUB）是生物体重要的进化特征,对研究物种进化、基因功能以及外源基因表达等具有重要科学意义。本研究利用糜子（Panicum miliaceum L.）叶绿体基因组中筛选出的53条蛋白编码序列,对其密码子使用模式及偏性进行了分析。结果表明,糜子叶绿体基因的有效密码子数（ENC）在37.14~61之间,多数密码子的偏性较弱。相对同义密码子使用度（RSCU）分析发现,RSCU > 1的密码子有32个,其中28个以A、U结尾,表明第3位密码子偏好使用A和U碱基。中性分析发现,GC₃与GC₁₂的相关性不显著,回归曲线斜率为0.2129,表明密码子偏性主要受到自然选择的影响;而ENC-plot分析发现大部分基因落在曲线的上方及周围,表明突变也影响了密码子偏性的形成。进一步的对应性分析发现,第1轴为主要影响因素,解释了17.92%的差异,其与ENC、GC_3S值的相关性均达到显著水平,但与CBI、GC_all不相关。最后,9个密码子被鉴定为糜子叶绿体基因组的最优密码子,糜子叶绿体基因组的密码子使用偏性可能受选择和突变共同作用。     

Comprehensive analysis of prokaryotic mechanosensation genes: their characteristics in codon usage.

In the present study, we examined GC nucleotide composition, relative synonymous codon usage (RSCU), effective number of codons (ENC), codon adaptation index (CAI) and gene length for 308 prokaryotic mechanosensitive ion channel (MSC) genes from six evolutionary groups: Euryarchaeota, Actinobacteria, Alphaproteobacteria, Betaproteobacteria, Firmicutes, and Gammaproteobacteria. Results showed that: (1) a wide variation of overrepresentation of nucleotides exists in the MSC genes; (2) codon usage bias varies considerably among the MSC genes; (3) both nucleotide constraint and gene length play an important role in shaping codon usage of the bacterial MSC genes; and (4) synonymous codon usage of prokaryotic MSC genes is phylogenetically conserved. Knowledge of codon usage in prokaryotic MSC genes may benefit from the study of the MSC genes in eukaryotes in which few MSC genes have been identified and functionally analysed.     

Vertebrate codon bias indicates a highly GC-rich ancestral genome

Two factors are thought to have contributed to the origin of codon usage bias in eukaryotes: 1) genome-wide mutational forces that shape overall GC-content and create context-dependent nucleotide bias, and 2) positive selection for codons that maximize efficient and accurate translation. Particularly in vertebrates, these two explanations contradict each other and cloud the origin of codon bias in the taxon. On the one hand, mutational forces fail to explain GC-richness (~ 60%) of third codon positions, given the GC-poor overall genomic composition among vertebrates (~ 40%). On the other hand, positive selection cannot easily explain strict regularities in codon preferences. Large-scale bioinformatic assessment, of nucleotide composition of coding and non-coding sequences in vertebrates and other taxa, suggests a simple possible resolution for this contradiction. Specifically, we propose that the last common vertebrate ancestor had a GC-rich genome (~ 65% GC). The data suggest that whole-genome mutational bias is the major driving force for generating codon bias. As the bias becomes prominent, it begins to affect translation and can result in positive selection for optimal codons. The positive selection can, in turn, significantly modulate codon preferences.     

杨树同义密码子用法的初步分析

杨树是世界上广泛栽培的重要造林树种之一,已经成为林木基因工程研究的模式植物。用杨树的314个蛋白编码基因,通过对应分析和ENC-plot分析探讨了若干重要因子对杨树密码子用法的效应。从分析结果中可以看出,在影响最大的第一条向量轴上,基因的坐标位置与该基因的表达水平(CAI)极显著负相关(r=-0.94**),其次是与GC3S和基因长度极显著相关(r=0.86**和r=-0.57**),说明基因表达水平高低是影响密码子发挥作用的主要因素,基因编码区碱基组成和基因长度次之。ENC-plot分析结果也证明了这一点。相对密码子使用值(RSCU)的计算结果表明,高表达基因强烈偏好以A或T结尾的密码子,并确定了TTA和ATA等10个密码子为杨树的主要偏爱密码子。将杨树的密码子使用频率与拟南芥、水稻、大肠杆菌和人等不同模式生物种比较后发现,杨树密码子的偏爱性与同为双子叶植物的拟南芥最为相似,与人和大肠杆菌之间的差异较大。     

香樟转录组基因密码子偏好性分析

为了解香樟基因密码子偏好性,该文以NCBI网站中香樟转录组数据为材料,利用生物信息学手段评价转录组数据质量,选取高质量数据的转录组,去除低质量序列,组装转录组,预测基因结构,再利用自编perl脚本提取以AUG开头的基因序列37 Mb序列34 931个基因,进一步利用CodonW分析基因密码子偏好性。结果表明:GC含量的变化范围为0.273～0.742,均值为0.452; ENC的范围为26.29～61.00,均值为52.76; CAI的范围为0.064～0.401,均值为0.199; RSCU值大于1的密码子数目为27个,其中以U或A结尾的有22个; 中性分析表明,小部分基因在对角线上,大多数基因偏离对角线; ENC-plot分析表明小部分基因在标准曲线上,大多数基因偏离标准曲线。上述研究结果表明,香樟基因的密码子偏好性比较弱,密码子常以A/U结尾; 突变和选择两者都在密码子偏好中起作用,而选择作用更大; 最终确定了GUU、CAG、GAA、UCU、GCU、GGU为最优密码子,通过对目标基因密码子的校正,提高表达效率,从而为利用基因工程技术改良香樟重要性状奠定了基础。     

Sequencing of high G+C microbial genomes using the ultrafast pyrosequencing technology

Next generation pyrosequencing of high G + C content genomes still poses problems to automated sequencing and assembly processes which necessitates cost and time intensive manual work in order to finish such genomes completely. The sequencing of the high G + C actinomycete Actinoplanes sp. SE50/110 was performed with standard pyrosequencing technology (454 Life Sciences) and revealed a high number of gaps. The reasons for the introduction of gaps were analyzed on a previously known 41 kb long DNA reference sequence from Actinoplanes sp. SE50/110, hosting the acarbose biosynthesis gene cluster. Mapping of the sequencing results on the reference gene cluster sequence revealed a fragmentation into 30 contiguous sequences of different lengths. The gaps between these sequences were characterized by extremely low read coverage which strongly correlated with the G + C content in the gap regions in a negative manner. Furthermore, the gap-sequences contained strong stem-loop structures which hindered the amplification of these sequences during the emulsion PCR. Being significantly underrepresented or absent in the subsequent sequencing process, these sequences lead to weakly or uncovered genomic regions which forces the assembly algorithm to output multiple contiguous sequences instead of one finished genome. However, by applying a different pyrosequencing protocol, it was possible to sequence the complete acarbose biosynthesis gene cluster. The changes to the protocol include longer read length and addition of chemicals to the amplification chemistry, which reduces the self-annealing of DNA fragments during the amplification process and enables the complete reconstruction of high G + C content genomes without manual intervention.     

澳洲坚果光壳种叶绿体基因组的密码子使用偏好性及其影响因素分析

为确定澳洲坚果光壳种(Macadamia integrifolia Maiden&Betche)叶绿体基因组密码子偏好性形成的主要影响因素,本研究通过其叶绿体基因组的51条蛋白编码序列,系统分析其密码子的使用模式及其特征.密码子偏好性参数分析结果显示,叶绿体基因密码子3位碱基的GC含量次序为GC1>GC2>GC3;有效...     

Relative Codon Adaptation: A Generic Codon Bias Index for Prediction of Gene Expression

The development of codon bias indices (CBIs) remains an active field of research due to their myriad applications in computational biology. Recently, the relative codon usage bias (RCBS) was introduced as a novel CBI able to estimate codon bias without using a reference set. The results of this new index when applied to Escherichia coli and Saccharomyces cerevisiae led the authors of the original publications to conclude that natural selection favours higher expression and enhanced codon usage optimization in short genes. Here, we show that this conclusion was flawed and based on the systematic oversight of an intrinsic bias for short sequences in the RCBS index and of biases in the small data sets used for validation in E. coli. Furthermore, we reveal that how the RCBS can be corrected to produce useful results and how its underlying principle, which we here term relative codon adaptation (RCA), can be made into a powerful reference-set-based index that directly takes into account the genomic base composition. Finally, we show that RCA outperforms the codon adaptation index (CAI) as a predictor of gene expression when operating on the CAI reference set and that this improvement is significantly larger when analysing genomes with high mutational bias.     

Analysis of synonymous codon usage in <Emphasis Type="Italic">Zea mays</Emphasis>

It is important and meaningful to understand the codon usage pattern and the factors that shape codon usage of maize. In this study, trends in synonymous codon usage in maize have been firstly examined through the multivariate statistical analysis on 7402 cDNA sequences. The results showed that the genes positions on the primary axis were strongly negatively correlated with GC3s, GC content of individual gene and gene expression level assessed by the codon adaptation index (CAI) values, which indicated that nucleotide composition and gene expression level were the main factors in shaping the codon usage of maize, and the variation in codon usage among genes may be due to mutational bias at the DNA level and natural selection acting at the level of mRNA translation. At the same time, CDS length and the hydrophobicity of each protein were, respectively, significantly correlated with the genes locations on the primary axis, GC3s and CAI values. We infer that genes length and the hydrophobicity of the encoded protein may play minor role in shaping codon usage bias. Additional 28 codons ending with a G or C base have been defined as “optimal codons”, which may provide useful information for maize gene-transformation and gene prediction.     

沙枣叶绿体全基因组序列及其使用密码子偏性分析

该研究以2株野生沙枣(Elaeagnus angustifolia Linn.)嫩枝经温室水培后的嫩叶为材料,采用CTAB法分别提取总DNA,并利用第二代测序技术进行总DNA从头测序,组装后得到2株沙枣叶绿体基因组全序列,并详细分析了其蛋白质编码基因密码子使用的偏好性及其原因,为沙枣叶绿体基因工程和分子系统进化等研究奠定基础。结果显示:(1)组装得到沙枣叶绿体基因组序列全长150 546 bp,由长度为81 113 bp的长单拷贝(LSC)区域和25 494 bp的短单拷贝(SSC)区域,以及1对分隔开它们的长18 445 bp的反向重复序列(IRS)组成;注释共得到132个基因,包括86个蛋白编码基因、38个tRNA基因和8个rRNA基因。(2)沙枣叶绿体基因组蛋白编码基因密码子的第三位碱基GC含量(GC_3)为28.47%,明显低于整个叶绿体基因组GC含量(37%),也低于第一位(GC_1)和第二位(GC_2)碱基的GC含量,说明密码子对AT碱基结尾有偏好性;其中, UCU、CCU、UGU、GCU、CUU、GAU、UCA和UAA为最优密码子。(3)同义密码子相对使用频率(RSCU)分析发现,影响密码子使用模式的因素并不单一,密码子的偏好性受到突变、选择及其他因素的共同影响,并且自然选择表达引起的序列差异比突变对密码子偏好性的影响要显著;中性绘图分析、有效密码子数(ENC-plot)分析和奇偶偏好性(PR2-plot)分析表明,沙枣叶绿体基因组使用密码子的偏性受选择的影响更大。(4)通过最大似然法、最大简约法和贝叶斯方法对胡颓子科6个物种和1个枣的叶绿体基因序列构建系统发育树,与它们使用密码子偏性聚类的结果一致,表明叶绿体基因组使用密码子偏性与物种的亲缘关系相关。