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作 者:祝友朋 韩长志[1] ZHU You-peng;HAN Chang-zhi(College of Biodiversity Conservation,Southwest Forestry University/Key Laboratory of Forest Disaster Warning and Control of Yunnan Province,Kunming 650224,China)
机构地区:[1]西南林业大学生物多样性保护学院/云南省森林灾害预警与控制重点实验室,云南昆明650224
出 处:《江苏农业学报》2020年第5期1119-1125,共7页Jiangsu Journal of Agricultural Sciences
基 金:云南省研发经费投入补助项目(2016YB462&2017YB236);国家自然科学基金项目(31960314)。
摘 要:为了更好地解析里氏木霉和黏绿木霉在次生代谢产物关键基因方面的差异,以非核糖体肽合成酶(NRPS)为例,通过antiSMASH预测网站对上述2种木霉开展次生代谢产物基因找寻。结果表明,里氏木霉中含有87个NRPS蛋白,而黏绿木霉中含有214个NRPS蛋白,后者明显高于前者;同时,利用ProtComp v9.0、PHD等生物信息学预测网站对上述木霉中NRPS蛋白进行亚细胞定位、理化性质以及二级结构等特征分析,明确2种木霉中NRPS蛋白具有以下共同特征:理论等电点多集中在5.01至7.00之间,不稳定性系数多集中在30.01至50.00之间,高达75%以上的蛋白质属于亲水性蛋白质,而二级结构组成特征则以α螺旋为主,转运肽情况尚未明确,保守结构域较多,亚细胞定位多集中在线粒体等。In order to better analyze the differences of the key genes of secondary metabolites between Trichoderma reesei and Trichoderma virens,the secondary metabolite genes of T.reesei and T.virens were searched through prediction website of antiSMASH,taking non-ribosomal peptide synthetase(NRPS)as example.The results showed that there were 87 NRPS proteins in T.reesei and 214 NRPS proteins in T.virens,the number of NPRS proteins in T.virens was significantly higher than that in T.reesei.Meanwhile,ProtComp v9.0,PHD and other websites for bioinformatics prediction were used to analyze the characteristics of NRPS proteins in T.reesei and T.virens,including subcellular localization,physicochemical properties and secondary structure,etc.The following common characteristics of NRPS proteins in T.reesei and T.virens are clear:the theoretical isoelectric points are mostly concentrated between 5.01 and 7.00,the instability indices are mostly concentrated between 30.01 and 50.00,more than 75%proteins are hydrophilic,while the compositional characteristics of secondary structures are dominated byα-helix.Besides,the information of transit peptides is not clear,there are many conserved domains and the subcellular localizations are mostly concentrated in mitochondria and so on.
关 键 词:里氏木霉 黏绿木霉 非核糖体肽合成酶(NRPS) 理化性质 生物信息学分析
分 类 号:S435.1[农业科学—农业昆虫与害虫防治]
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