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以已报道的甜瓜果斑病的致病基因和多个与致病性相关的未知蛋白为试材,采用生物信息学方法研究了其致病基因,并且利用生物信息学的工具和软件分析这些未知蛋白,以期为今后从分子水平防治果斑病奠定理论基础。结果表明:通过DNAMAN软件的比对分析,得到3个综合匹配程度较高的未知蛋白,预测这些蛋白是由该病菌Ⅲ型分泌系统的hrp基因簇编码;通过Bioedit和ProtParam软件工具分析获得6个未知蛋白的氨基酸组成、大小、分子质量、理论等电点和疏水性;同时运用DNAMAN软件分析得到相对应的二级结构。该研究结果可为今后深入研究此类基因提供指导作用。
Using the reported pathogenic genes of melon fruit spot and several unknown proteins related to pathogenicity as test materials, the pathogenic genes were studied by bioinformatics methods and analyzed by bioinformatics tool and software These unknown proteins, in order to lay the theoretical foundation for the future prevention and control of fruit spot at the molecular level. The results showed that three unknown proteins with higher overall matching degree were obtained by DNAMAN software, and the predicted proteins were encoded by the hrp gene cluster of the type Ⅲ secretion system of the bacterium. Six genes were analyzed by Bioedit and ProtParam software tools The amino acid composition, size, molecular mass, theoretical isoelectric point and hydrophobicity of unknown protein were analyzed. At the same time, DNAMAN software was used to analyze the corresponding secondary structure. The results of this study may provide guidance for further study of these genes in the future.