摘要
磷脂酰肌醇特异性磷脂酶C(PI-PLC)作为植物病原菌G蛋白信号转导过程中的重要调节因子,在对植物侵染、定殖、扩展等致病过程中发挥着重要作用。禾谷炭疽菌侵染玉米、小麦等农作物引起炭疽病,给各国农业生产造成了巨大经济损失。基于酿酒酵母典型PI-PLC序列,利用Blastp以及关键词对禾谷炭疽菌蛋白质数据库进行比对、搜索,以及通过SMART保守结构域分析,明确该菌存在7个典型的PI-PLC;同时,通过对上述氨基酸序列进行细胞信号肽、跨膜结构域以及二级结构等生物信息学分析,明确上述PI-PLC在蛋白质二级结构组成、信号肽等方面均具有一定差异,除Cg PLC1具有信号肽外,其他均不含有;7个PI-PLC中4个定位在细胞质中,其他则定位在细胞核、高尔基体上。此外,通过对禾谷炭疽菌中的7个PI-PLC与其他物种中的30个同源序列进行遗传关系比较分析,发现禾谷炭疽菌中的PI-PLC与C.higginsianum、C.fioriniae等炭疽菌属中的病菌具有较高的同源序列,较近的亲缘关系。该研究为深入开展禾谷炭疽菌PI-PLC定位、功能研究打下坚实的理论基础,同时,也为进一步开展其他炭疽菌的研究提供重要的理论指导。
PI-PLC is the regulator of G-protein signal transduction pathway in plant pathogens,which plays an important role in many physiological and biochemical processes,particularly in the pathogenic process of its infection,colonization,expansion. Colletotrichum graminicola can infect corn,wheat and other food crops,causing tremendous economic losses in agricultural production in many countries. Based on the four typical PI-PLC sequences have been reported in Saccharomyces cerevisiae,to search PI-PLC related protein sequence from the protein databases of Colletotrichum spp. with the Blastp as well as the use of words,and seven typical PI-PLC are identified by conserved domain analysis in the SMART online. Meanwhile,through bioinformatics analysis including the signal peptide,trans-membrane domain structure and the secondary structure,there is not the typical signal peptide sequence except for Cg PLC1,and the four of seven PI-PLCs positioned in the cytoplasm,and the other is positioned in the nucleus and Golgi apparatus,respectively. In addition,analysis of genetic relationships through comparative seven PI-PLCs in C. graminicola with other species of 30 homologous sequences,and C. higginsianum,C. fioriniae has a high sequence homology and close genetic relationship with C. graminicola. The study can provide strong theoretical foundation to the positioning and function of PLC,but also provide an important theoretical guidance to clarify the other pathogen in Colletotrichum spp.
出处
《科学技术与工程》
北大核心
2016年第2期18-23,共6页
Science Technology and Engineering
基金
云南省教育厅科学研究基金(2014Y330)资助
