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园艺学报 ›› 2025, Vol. 52 ›› Issue (11): 3079-3089.doi: 10.16420/j.issn.0513-353x.2025-0196

• 新技术新方法 • 上一篇    下一篇

基于RT-RPA-LFD等温扩增的西瓜银斑驳病毒快速检测技术的建立及应用

李文扬1, 修筠清1, 徐志红1,2, 王敏3, 古勤生1, 康保珊1, 刘莉铭1, 赵胜杰1,2, 玉山江·麦麦提4,*(), 吴会杰1,*()   

  1. 1 中国农业科学院郑州果树研究所河南省果树瓜类生物学重点实验室, 郑州 450009
    2 三亚中国农业科学院国家南繁研究院, 海南三亚 572024
    3 海南省农业科学院蔬菜研究所, 海口 571100
    4 新疆维吾尔自治区农业科学院植物保护研究所农业农村部西北荒漠绿洲作物有害生物综合治理重点实验室,国家植物保护库尔勒观测实验站,新疆农业生物安全重点实验室, 乌鲁木齐 830091
  • 收稿日期:2025-06-20 修回日期:2025-10-26 出版日期:2025-11-26 发布日期:2025-11-26
  • 通讯作者:
    * E-mail:
  • 基金资助:
    新疆维吾尔自治区重大专项(2023A02009)

Establishment and Application of a Rapid Detection Technique for Watermelon Silver Mottle Virus Based on RT-RPA-LFD

LI Wenyang1, XIU Junqing1, XU Zhihong1,2, WANG Min3, GU Qinsheng1, KANG Baoshan1, LIU Liming1, ZHAO Shengjie1,2, Yushanjiang · Maimaiti4,*(), WU Huijie1,*()   

  1. 1 Zhengzhou Fruit Research InstituteChinese Academy of Agricultural Sciences,Henan Key Laboratory Fruit and Cucurbit Biology, Zhengzhou 450009, China
    2 National Nanfan Research Institute(Sanya)Chinese Academy of Agricultural Sciences,Sanya, Hainan 572024, China
    3 The Vegetable Research InstituteHainan Academy of Agricultural Sciences, Haikou 571100, China
    4 Key Laboratory of Integrated Pest Management on Crops in Northwestern OasisMinistry of Agriculture and Rural Affairs,National Plant Protection Scientific Observation and Experiment Station of Korla,Xinjiang Key Laboratory of Agricultural Biosafety,Institute of Plant Protection,Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences, Urumqi 830091, China
  • Received:2025-06-20 Revised:2025-10-26 Published:2025-11-26 Online:2025-11-26

摘要:

建立了一种基于逆转录酶重组酶聚合酶扩增(reverse transcriptase recombinase polymerase amplification,RT-RPA)结合侧向流层析(lateral flow dipstick,LFD)试纸条技术的西瓜银斑驳病毒(watermelon silver mottle virus,WSMoV)快速检测方法。针对WSMoV的L基因保守序列设计特异性引物和探针,通过优化反应体系和条件,确定RT-RPA-LFD最佳引物浓度为0.1 μmol · L-1、探针浓度为0.06 μmol · L-1、反应温度为37 ℃和时间12 min。该方法对WSMoV具有高度特异性,与黄瓜绿斑驳花叶病毒(cucumber green mottle mosaic virus,CGMMV)、小西葫芦黄花叶病毒(zucchini yellow mosaic virus,ZYMV)、新德里番茄曲叶病毒(tomato leaf curl new delhi virus,ToLCNDV)、西瓜花叶病毒(watermelon mosaic virus,WMV)、黄瓜花叶病毒(cucumber mosaic virus,CMV)和甜瓜黄斑病毒(melon yellow spot virus,MYSV)等常见西甜瓜病毒无交叉反应;灵敏度与RT-PCR一致,最低检测限达总RNA的10-4稀释度。对田间32份西甜瓜样品进行检测验证,RT-RPA-LFD与RT-PCR均检出14份阳性,结果一致。本研究建立的RT-RPA-LFD方法反应温度恒定,扩增时间约12 min,结合侧向层析检测,整个过程在20 min内完成,较传统RT-PCR(约2 ~ 3 h)更为简便快捷,且检测结果可视,可用于WSMoV的田间现场快速检测。

关键词: 西瓜, 西瓜银斑驳病毒, RT-RPA-LFD, 可视化检测

Abstract:

A rapid detection method for watermelon silver mottle virus(WSMoV)was developed in this study based on reverse transcriptase recombinase polymerase amplification(RT-RPA)combined with a lateral flow dipstick(LFD)assay. Specific primers and a probe were designed targeting the conserved region of the WSMoV L gene. The reaction system and conditions were optimized,and the optimal parameters were determined as follows:primer concentration 0.1 μmol · L-1,probe concentration 0.06 μmol · L-1,reaction temperature 37 ℃,and reaction time 12 min. The established RT-RPA-LFD assay showed high specificity for WSMoV,with no cross-reactivity to other common cucurbit viruses,including cucumber green mottle mosaic virus(CGMMV),zucchini yellow mosaic virus(ZYMV),tomato leaf curl new delhi virus(ToLCNDV),watermelon mosaic virus(WMV),cucumber mosaic virus(CMV),and melon yellow spot virus(MYSV). The sensitivity of the assay was comparable to that of conventional RT-PCR,with a detection limit of 10-4 dilution of total RNA. Among 32 field-collected watermelon and melon samples,both RT-RPA-LFD and RT-PCR detected 14 positive samples,showing complete consistency between the two methods. The RT-RPA-LFD assay operates under a constant temperature of 37 ℃ and provides visual results within approximately 20 min,which is much faster and simpler than traditional RT-PCR(2-3 h). This method enables rapid,sensitive,and visual detection of WSMoV and offers a reliable tool for on-site diagnosis and field surveillance of the virus.

Key words: watermelon, watermelon silver mottle virus, RT-RPA-LFD, visualization detection