葡萄灰霉病菌LFD-RPA检测方法的建立与评价OA
Establishment and Evaluation of LFD-RPA Detection Method for Botrytis cinerea
由灰葡萄孢(Botrytis cinerea)引起的灰霉病是葡萄种植领域的重要病害之一.为实现对葡萄灰霉病菌潜育期的快速及准确检测,本研究依据灰葡萄孢特异性Bc-hch基因序列(登录号:OQ411027.1)设计引物FRA-F/FRA-R与探针LF-P,构建了针对葡萄灰霉病菌的LFD-RPA检测方法,并对该方法的反应体系予以优化.与此同时,运用已建立的实时荧光定量PCR(qRT-PCR)和PCR对该检测方法的灵敏度与准确性进行验证与评价.结果表明,引物FRA-F/FRA-R与探针LF-P特异性良好,在37 ℃条件下反应30 min可以检测出葡萄灰霉病菌,检测试纸条上有清晰明了的检测带,其最低检测下限为10-1 ng·μL-1,与常规PCR相当,但略低于qRT-PCR检测.在田间样品检测中,LFD-RPA与常规PCR和qRT-PCR检测一致率达100%,证实了该检测方法的准确性;通过对不同接种时间样品的检测,证明了建立的LFD-RPA、qRT-PCR和常规PCR均能够对处于潜育期的灰霉病菌进行检测.本研究建立的LFD-RPA检测方法可用于葡萄灰霉病菌的监测预警和病害的田间快速诊断.
Gray mold,caused by infection with Botrytis cinerea,is one of the major diseases in grape cultivation.This study developed a rapid and precise detection approach employing recombinase polymerase amplification in conjunction with a lateral flow dipstick(LFD-RPA),based on the Bc-hch gene sequence of B.cinerea(GenBank accession no.OQ411027.1)Specific primers(FRA-F/FRA-R)and a probe(LF-P)were designed,and reaction conditions were optimized.The method's sensitivity and accuracy were validated against quantitative real-time PCR(qRT-PCR)and conventional PCR.Results showed that FRA-F/FRA-R and LF-P exhibited high specificity.The LFD-RPA assay detected B.cinerea within 30 minutes at 37℃,producing visible bands on the dipstick.Its detection limit was 10-1ng·μL-1,similar to conventional PCR but slightly lower than qRT-PCR.Field sample testing showed 100%consistency between LFD-RPA,conventional PCR,and qRT-PCR,domastrating its accuracy.All three methods detected B.cinerea during the latent infection stage,as confirmed by tests at various post-inoculation time points.The LFD-RPA assay provides a reliable and rapid tool for monitoring gray mold in grapevines.
袁麒;张强强;马思远;王兴哲;辛颖;顾沛雯
宁夏大学农学院,宁夏银川 750021宁夏大学农学院,宁夏银川 750021宁夏大学农学院,宁夏银川 750021宁夏大学农学院,宁夏银川 750021宁夏大学农学院,宁夏银川 750021宁夏大学农学院,宁夏银川 750021
农业科技
葡萄灰霉病菌LFD-RPAqRT-PCR潜育期检测田间快速检测
Botrytis cinereaLFD-RPAqRT-PCRlatent infection detectionrapid field detection
《核农学报》 2026 (10)
1970-1979,10
宁夏回族自治区重点研发计划项目"酿酒葡萄病虫害监测预警关键技术研究与产业化应用"(2024BBF02006),宁夏回族自治区重大科技成果转化项目"酿酒葡萄病虫害信息化监测预警技术应用"(2023CJE09038)
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