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| 简化一步多重RT-PCR法快速检测芜菁花叶病毒 | |
| 引用本文： | 曾钢,叶艳英,闫晓红,马荣才,唐乐尘,姚磊.简化一步多重RT-PCR法快速检测芜菁花叶病毒[J].华北农学报,2012,27(3):102-107. |
| 作者姓名： | 曾钢 叶艳英 闫晓红 马荣才 唐乐尘 姚磊 |
| 作者单位： | 1. 福建农林大学,福建福州350002;北京市农林科学院农业生物技术研究中心,北京100097 2. 北京市农林科学院农业生物技术研究中心,北京100097;江西农业大学,江西南昌330045 3. 北京市农林科学院农业生物技术研究中心,北京100097;内蒙古农业大学,内蒙古呼和浩特010018 4. 北京市农业局,北京,100029 5. 福建农林大学,福建福州,350002 6. 北京市农林科学院农业生物技术研究中心,北京,100097 |
| 基金项目： | 北京市自然基金，国家"863"计划项目 |
| 摘 要： | 芜菁花叶病毒(Turnip mosaic virus,TuMV)是侵染十字花科作物和观赏性物种的主要病害之一。利用反转录酶M-MLV和普通Taq酶,使用一步法多重RT-PCR技术,建立了一种快速、简便、特异性强的检测TuMV的方法。该方法简便,不需先对总RNA提纯,只需室温下在提取液中对病样叶片直接碾磨,用粗提液或浓缩后的DNA-RNA混合物为模板进行检测。2套针对TuMV的特异性引物确保了检测的准确性。 |
| 关 键 词： | 芜菁花叶病毒 一步法 多重RT-PCR 病毒检测 |
Quick Detection of Turnip Mosaic Virus by One-Step Multiple RT-PCR |
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| ZENG Gang , YE Yan-ying , YAN Xiao-hong , MA Rong-cai , TANG Le-chen , YAO Lei.Quick Detection of Turnip Mosaic Virus by One-Step Multiple RT-PCR[J].Acta Agriculturae Boreali-Sinica,2012,27(3):102-107. | |
| Authors: | ZENG Gang YE Yan-ying YAN Xiao-hong MA Rong-cai TANG Le-chen YAO Lei |
| Institution: | 1.Fujian Agriculture and Forestry University,Fuzhou 350002,China;2.Beijing Ago-Biotechnology Research Center,Beijing Academy of Agriculture and Forestry Sciences,Beijing 100097,China;3.Jiangxi Agricultural University,Nanchang 330045,China;4.Inner Mongolia Agricultural University,Huhhot 010018,China; 5.Beijing Municipal Bureau of Agriculture,Beijing 100029,China) |
| Abstract: | Turnip Mosaic virus(Turnip Mosaic virus,TuMV)infects and causes damage in many crucifers and ornamentals.Using of M-MLV and general Taq enzyme,we developed a rapid,convenience and specificity method for detecting of TuMV by one-step multiple RT-PCR.This simple method didn′t need the step of purification of total RNA.After grinding the samples directly in extraction buffer at room temperature,the crude extract or concentrated DNA-RNA mixture could be used as detection template.In order to ensure the accuracy of the detection,two sets of primers were employed in this method. |
| Keywords: | TuMV One-step Multiple RT-PCR Virus detection |
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