Nakamura Y, Tabata S
Kazusa DNA Research Institute, Chiba, Japan.
Microb Comp Genomics. 1997;2(4):299-312. doi: 10.1089/omi.1.1997.2.299.
We have assigned codon-anticodon recognition patterns for the whole set of transfer RNAs of Haemophilus influenzae Rd, Methanococcus jannaschii, and Synechocystis sp. PCC6803 using sequence information derived from the complete genome sequence of these organisms and have tabulated them along with those previously reported for Escherichia coli, Mycoplasma genitalium, Mycoplasma pneumoniae, and Saccharomyces cerevisiae. Using the resulting codon-anticodon tables, the bias in codon usage of genes encoding the entire protein and ribosomal protein complement of each of the seven microbial genomes was analyzed. Then, the codon adaptation index (CAIrp) for each protein gene was calculated using the codon usage preference of the ribosomal protein genes of the corresponding organism. Of the seven genomes examined, six showed CAIrp scores that roughly coincided with the expected level of gene expression. The result demonstrates that CAIrp analysis may be useful for prediction of the expression level of unknown genes when all or at least considerable portions of the genome sequence are available.
我们利用从流感嗜血杆菌Rd、詹氏甲烷球菌和聚球藻属PCC6803的全基因组序列中获得的序列信息,为这三种生物的整套转运RNA指定了密码子-反密码子识别模式,并将其与先前报道的大肠杆菌、生殖支原体、肺炎支原体和酿酒酵母的模式一起制成表格。利用所得的密码子-反密码子表,分析了编码七种微生物基因组中每种基因组的全部蛋白质和核糖体蛋白质互补物的基因的密码子使用偏好。然后,使用相应生物体核糖体蛋白质基因的密码子使用偏好,计算每个蛋白质基因的密码子适应指数(CAIrp)。在所研究的七个基因组中,有六个的CAIrp分数大致与预期的基因表达水平相符。结果表明,当基因组序列全部或至少相当一部分可用时,CAIrp分析可能有助于预测未知基因的表达水平。