普通野生稻线粒体蛋白质编码基因密码子使用偏好性的分析

以普通野生稻(Oryza rufipogon Griff.)线粒体基因组为对象,分析其蛋白质编码基因的密码子使用特征及与亚洲栽培稻(O. sativa L.)的差异,探讨其密码子偏性形成的影响因素和进化过程。结果显示:普通野生稻线粒体基因组编码序列第1、第2和第3位碱基的GC含量依次为49.18%、42.67%和40.86%;有效密码子数(Nc)分布于45.32～61.00之间,其密码子偏性较弱; Nc值仅与GC_3呈显著相关,密码子第3位的碱基组成对密码子偏性影响较大;第1向量轴上显示9.91%的差异,其与GC_3s、Nc、密码子偏好指数(CBI)和最优密码子使用频率(Fop)的相关性均达到显著水平;而GC_3和GC₁₂的相关性未达到显著水平。因此,普通野生稻线粒体基因组密码子的使用偏性主要受自然选择压力影响而形成。本研究确定了21个普通野生稻线粒体基因组的最优密码子,大多以A或T结尾,与叶绿体密码子具有趋同进化,但是与核基因组具有不同的偏好性。同义密码子相对使用度(RSCU)、PR2偏倚分析和中性绘图分析显示,普通野生稻线粒体基因功能和其密码子使用密切相关,且线粒体密码子使用在普通野生稻、粳稻(O. sativa L. subsp. japonica Kato)和籼稻(O. sativa L. subsp.indica Kato)内具有同质性。     

An open issue: the inner mitochondrial membrane (IMM) as a free boundary problem

The inner mitochondrial membrane (IMM) is structured in cristae, which contributes to the best functioning of ions and adenylates exchange between the matrix and the intermembrane space. The central hypothesis of this paper is that the cristae structure favours a minimal mean free path of adenylates between translocation sites (translocase/ANT sites) and metabolic sites (ATPase sites). We propose a mathematical model and then give simulations. Based on simple hypotheses about cristae growth, they show that we can account for the major features of the IMM organization and functioning by minimizing the mean interdistance between ADP/ATP translocation and transformation sites.     

Dissecting the contributions of GC content and codon usage to gene expression in the model alga Chlamydomonas reinhardtii

The efficiency of gene expression in all organisms depends on the nucleotide composition of the coding region. GC content and codon usage are the two key sequence features known to influence gene expression, but the underlying molecular mechanisms are not entirely clear. Here we have determined the relative contributions of GC content and codon usage to the efficiency of nuclear gene expression in the unicellular green alga Chlamydomonas reinhardtii. By comparing gene variants that encode an identical amino acid sequence but differ in their GC content and/or codon usage, we show that codon usage is the key factor determining translational efficiency and, surprisingly, also mRNA stability. By contrast, unfavorable GC content affects gene expression at the level of the chromatin structure by triggering heterochromatinization. We further show that mutant algal strains that permit high‐level transgene expression are less susceptible to epigenetic transgene suppression and do not establish a repressive chromatin structure at the transgenic locus. Our data disentangle the relationship between GC content and codon usage, and suggest simple strategies to overcome the transgene expression problem in Chlamydomonas.     

Predicting Gene Expression Level from Relative Codon Usage Bias: An Application to Escherichia coli Genome

We present an expression measure of a gene, devised to predictthe level of gene expression from relative codon bias (RCB).There are a number of measures currently in use that quantifycodon usage in genes. Based on the hypothesis that gene expressivityand codon composition is strongly correlated, RCB has been definedto provide an intuitively meaningful measure of an extent ofthe codon preference in a gene. We outline a simple approachto assess the strength of RCB (RCBS) in genes as a guide totheir likely expression levels and illustrate this with an analysisof Escherichia coli (E. coli) genome. Our efforts to quantitativelypredict gene expression levels in E. coli met with a high levelof success. Surprisingly, we observe a strong correlation betweenRCBS and protein length indicating natural selection in favourof the shorter genes to be expressed at higher level. The agreementof our result with high protein abundances, microarray dataand radioactive data demonstrates that the genomic expressionprofile available in our method can be applied in a meaningfulway to the study of cell physiology and also for more detailedstudies of particular genes of interest.     

Influence of domain architecture and codon usage pattern on the evolution of virulence factors of Vibrio cholerae

Cholera remains a heavy burden to human health in some developing countries including India where sanitation is poor and health care is limited. After the publication of the complete genome sequence of Vibrio cholerae, the etiological agent of cholera, extensive possibilities, earlier unavailable, have opened up to understand the genetic organization of V. cholerae. In the present study, we analyzed all the pathogenic non-horizontally transferred genes of V. cholerae to know the ancestral relationship and how the pathogenic genes have been evolved in V. cholerae genome. We observed that protein domain has important role in developing pathogenicity, and codon usage pattern of the pathogenic protein domain is also subject to selection. The present study unambiguously depict that the patterns of synonymous codon usage within a protein domain can change dramatically during the course of evolution to give rise to pathogenicity.     

Codon Usage and Selection on Proteins

Selection pressures on proteins are usually measured by comparing homologous nucleotide sequences (Zuckerkandl and Pauling 1965). Recently we introduced a novel method, termed volatility, to estimate selection pressures on proteins on the basis of their synonymous codon usage (Plotkin and Dushoff 2003; Plotkin et al. 2004). Here we provide a theoretical foundation for this approach. Under the Fisher-Wright model, we derive the expected frequencies of synonymous codons as a function of the strength of selection on amino acids, the mutation rate, and the effective population size. We analyze the conditions under which we can expect to draw inferences from biased codon usage, and we estimate the time scales required to establish and maintain such a signal. We find that synonymous codon usage can reliably distinguish between negative selection and neutrality only for organisms, such as some microbes, that experience large effective population sizes or periods of elevated mutation rates. The power of volatility to detect positive selection is also modest—requiring approximately 100 selected sites—but it depends less strongly on population size. We show that phenomena such as transient hyper-mutators can improve the power of volatility to detect selection, even when the neutral site heterozygosity is low. We also discuss several confounding factors, neglected by the Fisher-Wright model, that may limit the applicability of volatility in practice. Electronic Supplementary Material Electronic Supplementary material is available for this article at and accessible for authorised users. [Reviewing Editor: Dr. Lauren Meyers]     

Modelling the Efficiency of Codon–tRNA Interactions Based on Codon Usage Bias

The tRNA adaptation index (tAI) is a widely used measure of the efficiency by which a coding sequence is recognized by the intra-cellular tRNA pool. This index includes among others weights that represent wobble interactions between codons and tRNA molecules. Currently, these weights are based only on the gene expression in Saccharomyces cerevisiae. However, the efficiencies of the different codon–tRNA interactions are expected to vary among different organisms. In this study, we suggest a new approach for adjusting the tAI weights to any target model organism without the need for gene expression measurements. Our method is based on optimizing the correlation between the tAI and a measure of codon usage bias. Here, we show that in non-fungal the new tAI weights predict protein abundance significantly better than the traditional tAI weights. The unique tRNA–codon adaptation weights computed for 100 different organisms exhibit a significant correlation with evolutionary distance. The reported results demonstrate the usefulness of the new measure in future genomic studies.     

Gene expression and molecular evolution

The combination of complete genome sequence information and estimates of mRNA abundances have begun to reveal causes of both silent and protein sequence evolution. Translational selection appears to explain patterns of synonymous codon usage in many prokaryotes as well as a number of eukaryotic model organisms (with the notable exception of vertebrates). Relationships between gene length and codon usage bias, however, remain unexplained. Intriguing correlations between expression patterns and protein divergence suggest some general mechanisms underlying protein evolution.     

Molecular considerations in the evolution of bacterial genes

Summary Synonymous and nonsynonymous substitution rates at the loci encoding glyceraldehyde-3-phosphate dehydrogenase (gap) and outer membrane protein 3A (ompA) were examined in 12 species of enteric bacteria. By examining homologous sequences in species of varying degrees of relatedness and of known phylogenetic relationships, we analyzed the patterns of synonymous and nonsynonymous substitutions within and among these genes. Although both loci accumulate synonymous substitutions at reduced rates due to codon usage bias, portions of thegap andompA reading frames show significant deviation in synonymous substitution rates not attributable to local codon bias. A paucity of synonymous substitutions in portions of theompA gene may reflect selection for a novel mRNA secondary structure. In addition, these studies allow comparisons of homologous protein-coding sequences (gap) in plants, animals, and bacteria, revealing differences in evolutionary constraints on this glycolytic enzyme in these lineages.