Acta Agriculturae Zhejiangensis ›› 2022, Vol. 34 ›› Issue (7): 1519-1528.DOI: 10.3969/j.issn.1004-1524.2022.07.20

• Quality and Safety of Agricultural Products • Previous Articles     Next Articles

Establishment of on-site rapid dual-mode fluorescence RPA detection method for bacterialfruit of blotch

WANG Chenwei1,2(), WANG Xiaofu2,*(), WEI Wei2, CHEN Xiaoyun2, SHEN Jie3, XU Junfeng2, CAI Jian1,*()   

  1. 1. School of Biology and Food Engineering,Fuyang Normal University, Fuyang 236037, Anhui, China
    2. State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products,Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
    3. School of Clinical Medicine, Ningxia Medical University, Yinchuan 750004, China
  • Received:2021-10-19 Online:2022-07-25 Published:2022-07-26
  • Contact: WANG Xiaofu,CAI Jian

Abstract:

Bacterial fruit of blotch (BFB) is a quarantine disease in China, which spreads very rapidly and no commercial resistant varieties have been found at present. In order to establish rapid fluorescent recombinase polymerase amplification (RPA) detection method of BFB, the best combination of RPA primers and probe were designed and screened out according to the specific sequence of BFB, then RPA results was analyzed using two modes and compared with quantitative real-time PCR(qRT-PCR). One was real time RPA (RT-RPA), and the other was end point RPA (EP-RPA). The results showed that the established dual-mode fluorescence RPA method for detection of BFB had strong specificity, and its sensitivity for detection of pathogens was equivalent to that of qRT-PCR. The results of RT-RPA, EP-RPA and qRT-PCR were identical. The average detection time of EP-RPA, RT-RPA and qRT-PCR were about 20, 5 and 44 min,respectively. The detection speed of RPA was much faster, and the detection process did not rely on large instruments, which was convenient and fast. As a result, it was suitable for on-site detection. The establishment of this constant temperature rapid detection method provided a new technical support for the on-site detection of plant diseases.

Key words: bacterial fruit of blotch, real time RPA, end point RPA, visualization

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