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An Integrated Rapid Detection of Botryosphaeriaceae Species in Grapevine Based on Recombinase Polymerase Amplification, CRISPR/Cas12a, and Lateral Flow Dipstick

文献类型： 外文期刊

作者： Wang, Baoyu 1 ; Fan, Anran 1 ; Liu, Mei 1 ; Zhou, Ying 1 ; Zhang, Wei 1 ; Yan, Jiye 1 ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Inst Plant Protect, Beijing Key Lab Environm Friendly Management Fruit, Beijing 100097, Peoples R China

关键词： Botryosphaeria dieback; field detection; LFD; RPA-CRISPR/Cas12a

期刊名称：PLANT DISEASE （ 影响因子：4.4； 五年影响因子：4.8 ）

ISSN： 0191-2917

年卷期： 2025 年 109 卷 5 期

页码：

收录情况： SCI

摘要： Grapevine Botryosphaeria dieback (GBD), caused by Botryosphaeriaceae species, is an important grapevine trunk disease that poses a threat to grape yield and quality in global viticultural regions. Pathogen diagnosis at the species level using morphological methods is difficult and time-consuming. Therefore, this study aimed to develop a rapid and accurate detection method for the pathogens causing GBD. Recombinase polymerase amplification (RPA) with CRISPR/Cas12a cleavage was combined for detecting pathogens associated with GBD, and lateral flow dipsticks were employed to monitor the outcomes. Based on the beta-tubulin sequences of Botryosphaeriaceae and their related species, specific RPA primers and CRISPR/Cas12a CrRNA were designed and subsequently selected for specifically detecting pathogens associated with GBD. Under optimized reaction conditions and systems, the developed RPA/CRISPR-Cas12a detection system specifically detected Botryosphaeriaceae species within 30 min of RPA and 25 min of CRISPR/Cas12a reactions at 37 degrees C. Specificity tests showed that specific fragments were amplified with the RPA primers in the DNA of six Botryosphaeriaceae species found in China, while none of the fragments were amplified in the other 22 nontarget fungal pathogen species of grapevine. The detection sensitivity of this method was 1 pg/mu l, which is equal to that of real-time PCR. In summary, our method is simple to perform, produces visual results, does not rely on expensive equipment, and therefore possesses high practical value, providing an efficient and robust detection platform to accelerate the field detection of pathogens associated with GBD.

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