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兰花5种病毒可视化基因芯片检测方法建立
引用本文:谭建锡,周慧平,莫 瑾,朱金国,吴志鹏,彭 梓.兰花5种病毒可视化基因芯片检测方法建立[J].植物病理学报,2017,47(5):654-660.
作者姓名:谭建锡  周慧平  莫 瑾  朱金国  吴志鹏  彭 梓
作者单位:湖南出入境检验检疫局,长沙410004;
湖南农业大学植物保护学院,长沙410128;
湖南师范大学生命科学学院,长沙410081
基金项目:国家质检总局课题(2012IK275)
摘    要:为建立运用可视基因芯片技术快速、准确检测兰花病毒的方法,选择黄瓜花叶病毒、齿舌兰环斑病毒、建兰花叶病毒编码外壳蛋白(coat protein,CP)基因、辣椒褪绿病毒编码核衣壳蛋白N基因、落葵皱纹花叶病毒编码CI蛋白基因为目标基因,设计引物和探针(5'标记一段poly T)。利用多重RT-PCR方法进行病毒核酸扩增,将扩增产物与固定于芯片的特异性探针杂交,经清洗、可视化显色后进行结果分析。在优化的检测条件下,本研究筛选出2组多重引物组合Cm(F2-R2a)、Ba(F1-R1);Or(F1-R1)、Cy(F2-R2)和Ca(F1-R1),5条特异性探针。所建立的可视基因芯片具有较好的特异性和重复性,可检测出病毒阳性质粒的量为不低于10~3拷贝·μL~(-1)。

关 键 词:兰花病毒  多重RT-PCR  可视基因芯片  

Visual DNA microarrays for detection of five orchid virus
TAN Jian-xi,ZHOU Hui-ping,MO Jin,ZHU Jin-guo,WU Zhi-peng,PENG Zi.Visual DNA microarrays for detection of five orchid virus[J].Acta Phytopathologica Sinica,2017,47(5):654-660.
Authors:TAN Jian-xi  ZHOU Hui-ping  MO Jin  ZHU Jin-guo  WU Zhi-peng  PENG Zi
Institution:Hunan Entry-Exit Inspection and Quarantine Bureau, Changsha 410004, China;
College of Plant Protection, Hunan Agricultural University, Changsha 410128, China;
College of Life Science, Hunan Normal University, Changsha 410081, China
Abstract:In order to develop a rapid and accurate method based on the thin-film biosensor chips for the detection of orchid viruses, genes (coding coat protein of CMV, ORSV, CymMV; nucleocapsid protein N of CaCV; CI protein of BaRMV) were used as the target genes to design primers and probes. The olignucleotide probes were labelled with 5′polyT group. The nucleic acids were amplified by multiplex RT-PCR method, and then hybridized with specific probes fixed on the microarray followed by washing and visual color development. Results indicated that, under the optimum conditions, two groups of multiple primers, Cm(F2-R2a), Ba(F1-R1) and Or (F1-R1), Cy (F2-R2), Ca (F1-R1) and five specific probes were screened out. The microarray method showed high sensitivity and specificity, which could detect no less than 103 copies·μL-1 for virus positive plasmids.
Keywords:orchid viruses  multiplex RT-PCR  visual DNA microarrays  
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