Prediction for CAZymes Protein from Colletotrichum graminicola Genome
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摘要:
禾谷炭疽菌侵染玉米、小麦等农作物引起的炭疽病,给各国农业生产造成了巨大的经济损失.基于前期研究结果,以267个碳水化合物酶类蛋白(CAZymes)序列为基础,对其进行理化性质分析,结果表明,近2/3的蛋白理论等电点小于6,属于酸性蛋白,同时,通过随机数软件对上述蛋白进行10%抽样分析,明确了不同理论等电点类别的分泌蛋白所具有的分子质量、分子式、原子数量、半衰期、不稳定性系数、脂肪族氨基酸指数、总平均亲水性等性质.该研究为深入解析禾谷炭疽菌CAZymes蛋白的功能奠定了坚实的理论基础.
Colletotrichum graminicola can infect corn, wheat and other food crops, and cause tremendous economic los-ses in agricultural production in many countries. Based on preliminary 267 CAZymes proteins sequence the physical and chemi-cal properties were analyzed , the results showed that the protein isoelectric point was less than 6 in nearly two-thirds proteins, which are acidic protein; while the 10 percent proteins of the samples were screened to analyze by the random number software, and it were defined that the molecular mass, the molecular formula, atomic number, half-life, the instability factor, aliphatic a-mino acid index, total average hydrophilicity properties of different theoretical isoelectric point category secreted protein. The study in-depth analysis of CAZymes protein function in C. graminicola has laid a solid theoretical foundation.
作者:
韩长志 许僖
机构地区:
西南林业大学林学院 云南省森林灾害预警与控制重点实验室
出处:
《betway官方app 学报：自然科学版》 CAS 北大核心 2017年第3期48-52,共5页
基金:
国家自然科学基金项目(31560211) 云南省森林灾害预警与控制重点实验室开放基金项目(ZK150004) 云南省林学一流学科建设项目资助(51600625)
关键词:
禾谷炭疽菌 分泌蛋白 理化性质 预测程序
Colletotrichum graminicola secreted protein physicochemical property prediction algorithm
分类号:
S435.1 [农业科学—农业昆虫与害虫防治]
