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A Rapid, Equipment-Free Method for Detecting Avirulence Genes of Pyricularia oryzae Using a Lateral Flow Strip-Based RPA Assay

文献类型： 外文期刊

作者： Qi, Zhongqiang 1 ; Ju, Fangyi 3 ; Guo, Yunxia 1 ; Du, Yan 1 ; Yu, Junjie 1 ; Zhang, Rongsheng 1 ; Yu, Mina 1 ; Cao, Huijuan 1 ; Song, Tianqiao 1 ; Pan, Xiayan 1 ; Dai, Tingting 3 ; Liu, Yongfeng 1 ;

作者机构： 1.Jiangsu Acad Agr Sci, Inst Plant Protect, Nanjing, Peoples R China

2.Jiangsu Acad Agr Sci, IRRI JAAS Joint Lab, Nanjing, Peoples R China

3.Nanjing Forestry Univ, Coinnovat Ctr Sustainable Forestry Southern China, Nanjing, Peoples R China

关键词： Pyricularia oryzae; rapid detection; RPA-LFD

期刊名称：PLANT DISEASE （ 2023影响因子：4.4； 五年影响因子：4.8 ）

ISSN： 0191-2917

年卷期： 2024 年 108 卷 8 期

页码：

收录情况： SCI

摘要： Rice blast, caused by Pyricularia oryzae, is one of the most destructive rice diseases worldwide. Using resistant rice varieties is the most cost-effective way to control rice blast. Consequently, it is critical to monitor the distribution frequency of avirulence (Avr) genes in rice planting fields to facilitate the breeding of resistant rice varieties. In this study, we established a rapid recombinase polymerase amplification-lateral flow dipstick (RPA-LFD) detection system for the identification of AvrPik, Avr-Piz-t, and Avr-Pi9. The optimized reaction temperature and duration were 37 degrees C and 20 min, indicating that the reaction system could be initiated by body temperature without relying on any precision instruments. Specificity analysis showed that the primer and probe combinations targeting the three Avr genes exhibited a remarkable specificity at genus-level detection. Under the optimized condition, the lower detected thresholds of AvrPik, Avr-Piz-t, and Avr-Pi9 were 10 fg/mu l, 100 fg/mu l, and 10 pg/mu l, respectively. Notably, the detection sensitivity of the three Avr genes was much higher than that of PCR. In addition, we also successfully detected the presence of AvrPik, Avr-Piz-t, and Avr-Pi9 in the leaf and panicle blast lesions with the RPA-LFD detection system. In particular, the genomic DNA was extracted using the simpler PEG-NaOH rapid extraction method. In summary, we developed an RPA detection system for AvrPik, Avr-Pi9, and Avr-Piz-t, combined with the PEG-NaOH rapid DNA extraction method. The innovative approach achieved rapid, real-time, and accurate detection of the three Avr genes in the field, which is helpful to understand the distribution frequency of the three Avr genes in the field and provide theoretical reference for the scientific layout of resistant rice varieties.

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