香蕉细菌性枯萎病菌可视化检测体系的建立与探索  

Establishment and Exploration of A Visual Detection System for Banana Bacterial Wilt Pathogen

作　　者：张可煜 Zhang Ke-yu(College of Horticulture,South China Agricultural University,Guangzhou,Guangdong 510642)

机构地区：[1]华南农业大学园艺学院,广东广州510642

出　　处：《农业灾害研究》2023年第9期37-39,共3页Journal of Agricultural Catastrophology

基　　金：广东大学生科技创新培育专项资金资助项目;科技发明制作类一般项目“香蕉枯萎病病原菌快速鉴定方法的开发”(pdjh2021b0079)。

摘　　要：香蕉枯萎病对香蕉植株具有毁灭性危害,严重制约了世界各地香蕉种植业的发展。基于此,建立了香蕉细菌性枯萎病菌可视化检测体系,探究了检测体系最佳引物组合、引物浓度、Cas12a浓度,以及可检测到的最低样本浓度。试验证明,该体系可以在60 min内完成准确的检测,且所需仪器简便,对试验环境和操作人员没有特殊的专业要求,该鉴定方法在植物病原菌的分子定性检测中的潜力较大。Banana wilt disease poses a devastating threat to banana plants,severely constraining the development of banana cultivation worldwide.Based on this,a visual detection system for banana bacterial wilt pathogen was established,exploring the optimal primer combination,primer concentration,Cas12a concentration,and the lowest detectable sample concentration of the detection system.The experiment has proven that the system can complete accurate detection within 60 minutes,and the required instruments are simple,without special professional requirements for the experimental environment and operators.This identification method has great potential in molecular qualitative detection of plant pathogens.

关 键 词：香蕉枯萎病菌 分子鉴定 可视化 

分 类 号：S436.68[农业科学—农业昆虫与害虫防治]