基因表达水平与同义密码子使用关系的初步研究

提出一个预测基因表达水平和同义密码子使用的自洽信息聚类方法。将同义密码子分成最适密码子、非最适密码子和稀有密码子,认为三者的使用频率是调控基因表达水平的主要因素。基于这一观点,对Ｅｃｏｌｉ和Ｙｅａｓｔ两类生物的基因表达水平和密码子的使用,用自洽信息聚类方法进行了预测。发现高低表达基因明显分开,基因表达水平被分为四级;甚高表达基因（ＶＨ）、高表达基因（Ｈ）、较低表达基因（ＬＭ）和低表达基因（ＬＬ）;     

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。     

用图论方法研究核酸序列的密码子使用与基因表达水平的关系

研究了Escherichiacoli（115个基因）和SacharomycesYeast（97个基因）核酸序列的密码子使用频率与基因表达水平的关系．将同义密码子按使用频率统计值分成三种特性的密码子：最适密码子（H）、非最适密码子（L）和稀有密码子（R）,对每一基因序列的编码区,算出它们各自出现的概率P（H）,P（L）和P（R）．以P（H）和P（R）为指标,用图论法聚类,发现每种生物的高低表达基因明显分开,基因表达水平被分为四级：甚高表达基因（VH）、高表达基因（H）、较低表达基因（LM）和低表达基因（LL）．每类基因的表达水平与实验结果保持了很好的相关性,与E．coli和Yeast的现有资料相比,符合很好．     

影响鼻疽伯克霍尔德氏菌基因组密码子用法的因素分析

鼻疽伯克霍尔德氏菌(Burkholderia mallei ATCC 23344)的基因组密码子使用受多种因素的影响,本研究根据该菌的完整基因组序列,运用多元统计分析和对应分析的方法,探讨了鼻疽伯克霍尔德氏菌全基因组序列密码子的使用模式和影响密码子使用的因素。结果表明基因表达水平的高低是影响密码子使用的主要因素;基因组中编码区的碱基组成、蛋白质的疏水性和基因的长度对密码子的使用也有一定的影响,但影响力不及基因的表达水平。同时,通过比较高表达的基因、低表达的基因密码子使用情况,GCG 和 CUC 等 21 个密码子被确定为鼻疽伯克霍尔德氏菌的主要偏爱密码子。以上结果对鼻疽伯克霍尔德氏菌的密码子用法研究、在分子水平上研究物种进化、基因组中未知基因的预测、开放阅读框的判断、功能基因的表达以及鼻疽病疫苗的研发等工作都提供了理论基础,具有较强的指导作用。     

同义密码子用语的位置依赖

研究了在大肠杆菌编码区不同位置上的同底密码子用语,发现许多氨基酸的密码子用语在转译起始区有显著的变化,仅有少数氨基酸在转译区有较弱的变化,由于密码子用语与基因表达关系密切。这些结果与实验发现的编码区5‘端密码子用对表达的重要性是一致的。更进一步的结果还暗示了哪些密码子在特定位置的使用可能会影响基因表达。     

籼稻品种93-11同义密码子的使用偏性

利用籼稻品种93－11的全基因组序列及相应的EST数据,对影响同义密码子用法的若干因子进行了详细分析。指出93－11基因的表达水平（mRNA丰度）与3个同义密码子偏性指标CAI、CPP和ENC相关极显著（r=0.227^**,0.145^**和-0.147^**),表明高表达的基因其同义密码子非随机使用的程度越大;基因长度与CAI和CPP极显著负相关（r=-0.413^**和-0.480^**),与ENC极显著正相关（r=0.210^**),暗示较短的基因具有更高的转录活性;编码区G＋C含量对其同义密码子偏性的贡献率远高于mRNA丰度和基因长度,G＋C含量与CAI、CPP和ENC相关系数分别高达0.877^**,0.832^**和-0.740^**;起始编码区内A、T、C、G4种碱基呈明显的3周期振荡,尤以ATG下游第一个密码子所在的3个位点（＋4、＋5和＋6）偏置最强烈,由此认为在这3个特殊位点有较高的自然选择压存在;93－11中25个最优密码子的首次确定将对水稻转基因具有指导意义。     

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。     

子囊菌延长因子1 alpha基因密码子偏好性分析(英文)

文中对子囊菌代表类群的延伸因子1 alpha基因密码子的使用模式进行了研究。结果表明:该基因的密码子使用偏好性不仅与核酸碱基组成密切相关,也受到其他选择性压力的影响。统计分析揭示了子囊菌各类群该基因的密码子组成和编码特点,在同义密码子的选择模式上,酵母纲(Saccharomycetes)的成员具有较独特的偏好性。基于密码子用法分歧度的聚类分析方法较合理地反映了大部分类群的分类学地位,但在各个纲的内部,密码子偏好性的变化程度存在差异。     

人类1号、X、Y染色体基因密码子偏好性研究

随着人类基因组计划测序工作的完成,进一步数据挖掘工作已成为新的研究热点。根据人类1号、X、Y染色体数据,通过自编的Perl程序,提取3条染色体基因的CDS序列,利用密码子偏好性的理论及生物信息学方法分析其碱基组成特点和密码子使用模式,确定了偏好密码子和最优密码子,探讨影响其密码子用法的主要因素。结果表明:1)人类1号、X、Y染色体基因偏好使用以G或C结尾的密码子;2)密码子的使用受基因长度的影响,较长的基因具有较高的表达水平和密码子使用偏性;3)基因表达水平对人类1号、X、Y染色体基因的密码子使用没有影响,暗示了这3条染色体并未承受翻译选择的压力;4)人类1号、X、Y染色体基因共有32个偏好性密码子,其中编码Arg的AGG和AGA、编码Val的GTG、编码Leu的CTG、终止密码子TAG为最优密码子。     

利用移码突变和终止密码子提高下游目的基因的表达水平

目的:在基因结构复杂的慢病毒载体插入报告基因并提高目的基因表达量。方法:慢病毒载体上有复杂的基因排列,为了不影响慢病毒载体的活性,必须尽量保留原有的基因,替换不必要的基因。首先将报告基因萤光素酶插入慢病毒载体替换基因Env后,结果检测不到报告基因的表达。为了提高报告基因的表达水平,将报告基因的读码框向后移动一个碱基,同时在其上游增加一个终止密码子,然后检测报告基因的表达水平。结果:通过移动报告基因的读码框同时在上游增加终止密码子,使报告基因的表达水平大大提高。结论:在构建基因表达载体时,通过改变目的基因与上游起始密码子ATG之间的相对位置以及增加终止密码子,可以大幅提高目的基因的表达水平。     

葡萄基因组密码子使用偏好模式研究

根据完整基因组序列,运用多元统计分析和对应分析的方法,探讨了葡萄全基因组序列密码子的使用模式和影响密码子使用的各种可能因素。结果显示:葡萄密码子偏好性主要受到碱基差异(r=0.925)和自然选择(r=0.193)共同作用的影响,突变压力占了主导因素,自然选择的作用较小。同时基因长度和蛋白质疏水性也对密码子的偏好性有所影响。确定了葡萄的20个最优密码子。     

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.     

Evolutionary change of codon usage for the histone gene family in Drosophila melanogaster and Drosophila hydei

The nucleotide divergence in the protein-coding region for replication-dependent and replication-independent histone 3 and 4 genes of Drosophila melanogaster and Drosophila hydei occurred mostly at the synonymous site. Therefore, the pattern of codon usage was analyzed in the two species, considering the genomic codon bias, which is proposed for estimating the genomic composition pressure in the protein-coding regions. The results indicated that the codon usage in the histone gene family could be explained mostly by the genomic codon bias. However, biases for Ala and Arg were commonly observed for the histone 3 and histone 4 gene families, and biases for Ser, Leu, and Glu were observed in a gene-specific manner. This suggests that both genomic codon bias and gene- or codon-specific bias are responsible for the nucleotide differentiation in the protein-coding region of the histone genes.     

In Arabidopsis thaliana codon volatility scores reflect GC3 composition rather than selective pressure

ABSTRACT: BACKGROUND: Synonymous codon usage bias has typically been correlated with, and attributed to translational efficiency. However, there are other pressures on genomic sequence composition that can affect codon usage patterns such as mutational biases. This study provides an analysis of the codon usage patterns in Arabidopsis thaliana in relation to gene expression levels, codon volatility, mutational biases and selective pressures. RESULTS: We have performed synonymous codon usage and codon volatility analyses for all genes in the A. thaliana genome. In contrast to reports for species from other kingdoms, we find that neither codon usage nor volatility are correlated with selection pressure (as measured by dN/dS), nor with gene expression levels on a genome wide level. Our results show that codon volatility and usage are not synonymous, rather that they are correlated with the abundance of G and C at the third codon position (GC3). CONCLUSIONS: Our results indicate that while the A. thaliana genome shows evidence for synonymous codon usage bias, this is not related to the expression levels of its constituent genes. Neither codon volatility nor codon usage are correlated with expression levels or selective pressures but, because they are directly related to the composition of G and C at the third codon position, they are the result of mutational bias. Therefore, in A. thaliana codon volatility and usage do not result from selection for translation efficiency or protein functional shift as measured by positive selection.     

Analysis of codon usage pattern in the radioresistant bacterium Deinococcus radiodurans

The main factors shaping codon usage bias in the Deinococcus radiodurans genome were reported. Correspondence analysis (COA) was carried out to analyze synonymous codon usage bias. The results showed that the main trend was strongly correlated with gene expression level assessed by the "Codon Adaptation Index" (CAI) values, a result that was confirmed by the distribution of genes along the first axis. The results of correlation analysis, variance analysis and neutrality plot indicated that gene nucleotide composition was clearly contributed to codon bias. CDS length was also key factor in dictating codon usage variation. A general tendency of more biased codon usage of genes with longer CDS length to higher expression level was found. Further, the hydrophobicity of each protein also played a role in shaping codon usage in this organism, which could be confirmed by the significant correlation between the positions of genes placed on the first axis and the hydrophobicity values (r=-0.100, P<0.01). In summary, gene expression level played a crucial role, nucleotide mutational bias, CDS length and the hydrophobicity of each protein just in a minor way in shaping the codon usage pattern of D. radiodurans. Notably, 19 codons firstly defined as "optimal codons" may provide useful clues for molecular genetic engineering and evolutionary studying.     

Analysis of factors shaping codon usage in the mitochondrion genome of Oryza sativa

In this paper, the main factors shaping codon usage in the mitochondrion genome of rice were reported. Correspondence analysis, a commonly used multivariate statistical approach, was carried out to analyze synonymous codon usage bias. The results showed that the main trend was strongly correlated with the gene expression level assessed by the 'Codon Adaptation Index' value, a result that was confirmed by the distribution of genes along the first axis. From the results that there were two significant correlations between axis 1 coordinates and the GC, GC3s content at silent sites of each sequence, and clearly significant correlations between the 'Effective Number of Codons' values and GC, GC3s content, we inferred that codon usage bias was affected by gene nucleotide composition also. In addition, the hydrophobicity of each protein also played some roles in shaping codon usage in this organelle, which could be confirmed by the significant correlation between the positions of genes placed on the first axis and the hydrophobicity value of each protein. In summary, natural selection played a crucial role, nucleotide mutational bias and amino acid composition only in a minor way, in shaping codon usage in the mitochondrion genome of rice. Notably, 21 codons defined firstly as 'optimal codons' might provide some more useful information for gene engineering and/or evolution studying.     

Analysis of mitochondrial protein‐coding genes of Antheraea assamensis: Muga silkworm of Assam

To understand the synonymous codon usage pattern in mitochondrial genome of Antheraea assamensis, we analyzed the 13 mitochondrial protein‐coding genes of this species using a bioinformatic approach as no work was reported yet. The nucleotide composition analysis suggested that the percentages of A, T, G,and C were 33.73, 46.39, 9.7 and 10.17, respectively and the overall GC content was 19.86, that is, lower than 50% and the genes were AT rich. The mean effective number of codons of mitochondrial protein‐coding genes was 36.30 and it indicated low codon usage bias (CUB). Relative synonymous codon usage analysis suggested overrepresented and underrepresented codons in each gene and the pattern of codon usage was different among genes. Neutrality plot analysis revealed a narrow range of distribution for GC content at the third codon position and some points were diagonally distributed, suggesting both mutation pressure and natural selection influenced the CUB.     

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.     

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.     

Insight into pattern of codon biasness and nucleotide base usage in serotonin receptor gene family from different mammalian species

5-HT (5-Hydroxy-tryptamine) or serotonin receptors are found both in central and peripheral nervous system as well as in non-neuronal tissues. In the animal and human nervous system, serotonin produces various functional effects through a variety of membrane bound receptors. In this study, we focus on 5-HT receptor family from different mammals and examined the factors that account for codon and nucleotide usage variation. A total of 110 homologous coding sequences from 11 different mammalian species were analyzed using relative synonymous codon usage (RSCU), correspondence analysis (COA) and hierarchical cluster analysis together with nucleotide base usage frequency of chemically similar amino acid codons. The mean effective number of codon (ENc) value of 37.06 for 5-HT(6) shows very high codon bias within the family and may be due to high selective translational efficiency. The COA and Spearman's rank correlation reveals that the nucleotide compositional mutation bias as the major factors influencing the codon usage in serotonin receptor genes. The hierarchical cluster analysis suggests that gene function is another dominant factor that affects the codon usage bias, while species is a minor factor. Nucleotide base usage was reported using Goldman, Engelman, Stietz (GES) scale reveals the presence of high uracil (>45%) content at functionally important hydrophobic regions. Our in silico approach will certainly help for further investigations on critical inference on evolution, structure, function and gene expression aspects of 5-HT receptors family which are potential antipsychotic drug targets.