Codon-anticodon assignment and detection of codon usage trends in seven microbial genomes.
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.
Nakamura
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Kazusa DNA Research Institute, Chiba, Japan.
Tabata
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D003062:Codon / Q000235:genetics; D004269:DNA, Bacterial / Q000235:genetics*; D015964:Gene Expression Regulation, Bacterial; D006193:Haemophilus influenzae / Q000235:genetics*; D017017:Methanococcus / Q000235:genetics*; D012329:RNA, Bacterial / Q000235:genetics / Q000378:metabolism*; D012343:RNA, Transfer / Q000235:genetics / Q000378:metabolism*; D012269:Ribosomal Proteins / Q000235:genetics
D003062:Codon; D004269:DNA, Bacterial; D012329:RNA, Bacterial; D012269:Ribosomal Proteins; D012343:RNA, Transfer