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。     

同义密码子使用模式对蛋白产物表达及构象形成的影响*

鉴于遗传密码子的简并性能够将基因遗传信息的容量提升,同义密码子使用偏嗜性得以在生物体的基因组中广泛存在。虽然同义密码子之间碱基的变化并不能导致氨基酸种类的改变,在研究mRNA半衰期、编码多肽翻译效率及肽链空间构象正确折叠的准确性和翻译等这一系列过程中发现,同义密码子使用的偏嗜性在某种程度上通过精微调控翻译机制体现其遗传学功能。同义密码子指导tRNA在翻译过程中识别核糖体的速率变化是由氨基酸的特定顺序决定,并且在新生多肽链合成时,蛋白质共翻译转运机制同时调节其空间构象的正确折叠从而保证蛋白的正常生物学功能。某些同义密码子使用偏嗜性与特定蛋白结构的形成具有显著相关性,密码子使用偏嗜性一旦改变将可能导致新生多肽空间构象出现错误折叠。结合近些年来国内外在此领域的研究成果,阐述同义密码子使用偏嗜性如何发挥精微调控翻译的生物学功能与作用。     

密码子偏性及其应用

密码子偏性(codon bias)是指生物体中同义密码子非均衡使用的现象.研究密码子偏性可以使人们更好地理解分子进化、翻译调控等生命过程.在介绍密码子偏性的基础上,概述了影响其形成的各生物学基础,并指出其应用和发展前景.     

嗜酸热古菌病毒STSV2密码子偏嗜性及其对dUTPase外源表达的影响

病毒和宿主之间的密码子使用频率差异是病毒在宿主中生存的重要调控机制之一。利用生物学软件Editseq和RSCU算法统计病毒STSV2及其宿主Sulfolobussolfataricus P2中的6个不同基因的遗传密码偏嗜性,并对病毒STSV2的dUTPase在大肠杆菌BL21和Rosetta中分别进行外源表达并分析其差异。结果表明,病毒STSV2密码子的偏嗜性总体与其宿主菌P2相似,STSV2基因组的不同蛋白编码基因的密码子偏嗜性有区别,病毒和宿主的相似蛋白编码序列密码子偏嗜性也有差异。分别以BL21(DE3)和Rosetta(DE3)为宿主表达STSV2的dUTPase基因显示,以BL21(DE3)为宿主时表达量大于以Rosetta(DE3)为宿主时目的蛋白表达量,进一步说明了病毒STSV2的密码子的偏嗜性对其蛋白的外源表达影响。     

同义密码子使用模式对多肽链共翻译折叠的影响研究进展

同义密码子使用模式作为核苷酸与氨基酸的纽带,其多样性介导了核糖体扫描速率,同时扩充了基因的遗传信息存储量。随着新型技术的应用,发现特异性密码子和密码子结合力可调节核糖体扫描速率并影响蛋白质构象。同义密码子使用模式通过多种方式在不同环节影响着核糖体扫描速率,同时还影响着自身mRNA的稳定性。本文简述了密码子使用模式如何在核糖体扫描翻译mRNA的过程中实现对多肽链翻译延伸的调控,为今后生物工程学领域如何优化蛋白高效表达提供可参考的思路与理念。     

P-body及其与mRNA的转录后调节之间的关系

mRNA在真核生物基因表达的转录后调控中发挥着重要作用.然而最新研究发现,一种被命名为P-body胞浆复合体是mRNA转录后调控过程中的一个重要场所,在基因表达过程中起到了至关重要的调控作用.该复合体富含多种功能的蛋白,同时还有细胞因子与RNA等成分组成,其功能特征为参与mRNA降解、翻译抑制、mRNA监视以及RNA介导基因沉默等重要生命活动过程.研究发现,P-body是特化的细胞成分.本文详细阐述P-body的发现、结构特征以及与mRNA转录后调控的关系,使人们对P-body的生物学功能有更深入地了解和认识,另一方面将有助于更进一步深入探讨基因的表达调节机制..     

密码子中的密码:密码子偏好性与基因表达的精细调控

同义突变由于不改变编码蛋白质的氨基酸序列,常被认为是"沉默"突变.实际上,同义密码子的选择在进化尺度上是受到限制的,从而致使同义密码子的使用频率存在差异,称为密码子偏好性.密码子偏好性在转录、转录后加工、mRNA稳定性、翻译起始、延伸、蛋白折叠等方面都起着精细调节的作用.因此,同义突变在很多情况下可导致癌症等各类疾病的发生.本综述在分子机制层面简述了近年来关于密码子偏好性对翻译和转录过程调节作用的进展,以及对于基础研究及医学方面的意义.     

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）;     

基因表达与mRNA结构的关系

基因的转录调控和转录后水平的调控在基因表达过程中起着重要作用。mRNA的结构与基因表达调控的关系非常密切。目前对于mRNA结构对表达的影响因素,主要集中于起始密码子和S-D序列的结构和间隔长度、基因和基因间的间隔区序列和长度,5’末端与3’末端非翻译区、多聚（A）尾、内含子序列对翻译起始效率、发夹结构对mRNA的稳定性的影响和mRNA翻译起始区等对基因表达影响。     

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。     

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.     

Synonymous Codon Usage, Accuracy of Translation, and Gene Length in Caenorhabditis elegans

In many unicellular organisms, invertebrates, and plants, synonymous codon usage biases result from a coadaptation between codon usage and tRNAs abundance to optimize the efficiency of protein synthesis. However, it remains unclear whether natural selection acts at the level of the speed or the accuracy of mRNAs translation. Here we show that codon usage can improve the fidelity of protein synthesis in multicellular species. As predicted by the model of selection for translational accuracy, we find that the frequency of codons optimal for translation is significantly higher at codons encoding for conserved amino acids than at codons encoding for nonconserved amino acids in 548 genes compared between Caenorhabditis elegans and Homo sapiens. Although this model predicts that codon bias correlates positively with gene length, a negative correlation between codon bias and gene length has been observed in eukaryotes. This suggests that selection for fidelity of protein synthesis is not the main factor responsible for codon biases. The relationship between codon bias and gene length remains unexplained. Exploring the differences in gene expression process in eukaryotes and prokaryotes should provide new insights to understand this key question of codon usage. Received: 18 June 2000 / Accepted: 10 November 2000     

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.     

Gene expression and protein length influence codon usage and rates of sequence evolution in Populus tremula

Codon bias is generally thought to be determined by a balance between mutation, genetic drift, and natural selection on translational efficiency. However, natural selection on codon usage is considered to be a weak evolutionary force and selection on codon usage is expected to be strongest in species with large effective population sizes. In this paper, I study associations between codon usage, gene expression, and molecular evolution at synonymous and nonsynonymous sites in the long-lived, woody perennial plant Populus tremula (Salicaceae). Using expression data for 558 genes derived from expressed sequence tags (EST) libraries from 19 different tissues and developmental stages, I study how gene expression levels within single tissues as well as across tissues affect codon usage and rates sequence evolution at synonymous and nonsynonymous sites. I show that gene expression have direct effects on both codon usage and the level of selective constraint of proteins in P. tremula, although in different ways. Codon usage genes is primarily determined by how highly expressed a genes is, whereas rates of sequence evolution are primarily determined by how widely expressed genes are. In addition to the effects of gene expression, protein length appear to be an important factor influencing virtually all aspects of molecular evolution in P. tremula.     

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.