论文部分内容阅读
为了解香蕉NBS抗病基因的密码子使用特点,掌握其基因编码规律,以香蕉全基因组NBS基因的74条高置信蛋白编码信息为数据来源,借助Codon W等软件对蛋白质的每个氨基酸编码数据进行了统计分析。结果表明,G+C含量范围为32.8%~45.4%,共鉴定获得了GUC和UAC等8个最优密码子且全部以G或C结尾。中性绘图分析发现,大部分基因分布在对角线及其附近区域,ENC与GC3的关联分析显示大部分基因落在标准曲线附近,这些都表明密码子偏好性受到碱基突变影响较大。密码子各参数相关性分析表明,ENC和G3s、C3s的大小都呈显著负相关,在基因表达密码子使用时,更倾向于选择第三位碱基是G/C的同义密码子。本研究分析了香蕉全基因组NBS基因的密码子偏好性,为通过密码子优化来提高NBS基因在香蕉中的表达,对香蕉进行抗性改良具有十分重要的指导作用。
In order to understand the characteristics of codon usage of banana NBS disease resistance genes and to master the gene coding rules, 74 high confidence protein coding information of banana genome-wide NBS gene was used as data source and Codon W software was used to encode each amino acid of protein Conducted a statistical analysis. The results showed that G + C content ranged from 32.8% to 45.4%. Eight optimal codons such as GUC and UAC were identified and all of them ended in G or C. Neutral mapping analysis found that most of the genes were located in the diagonal and its vicinity, and the correlation analysis of ENC and GC3 showed that most of the genes fell near the standard curve, which indicated that the codon bias was greatly affected by the base mutation. Correlation analysis of codon parameters showed that there was a significant negative correlation between the sizes of ENCs and G3s and C3s. When gene expression codons were used, it was more likely that the third base was G / C synonymous codon. This study analyzed the codon bias of the genome-wide NBS gene in bananas. It is very important to improve the resistance of banana to improve the expression of NBS gene in banana by codon optimization.