文献类型： 外文期刊
作者： Liu, Yuanyuan 1 ; Li, Jiali 1 ; Guo, Zining 1 ; Shen, Tianci 1 ; Lu, Song 1 ; Chen, Xian 1 ; Liu, Danmei 2 ; Wang, Wei 5 ; Gao, Yunhua 1 ; Feng, Chao 6 ; Wang, Di 1 ;
作者机构： 1.Natl Inst Metrol, Ctr Adv Measurement Sci, Beijing 100029, Peoples R China
2.Shanxi Univ, Sch Life Sci, Taiyuan 030006, Peoples R China
3.Chongqing Univ Technol, Sch Pharm & Bioengn, Chongqing 400054, Peoples R China
4.Tianjin Univ Sci & Technol, Coll Bioengn, Tianjin 300457, Peoples R China
5.Ocean Univ China, Sch Mat Sci & Engn, Qingdao 266100, Peoples R China
6.Chinese Acad Agr Sci, Key Lab Tobacco Pest Monitoring Controlling & Inte, Tobacco Res Inst, Qingdao 266101, Peoples R China
关键词： Phytophthora nicotianae; ddPCR; qPCR; Tobacco black shin; Predictive modeling
期刊名称：MICROCHEMICAL JOURNAL （ 影响因子：5.1； 五年影响因子：4.7 ）
ISSN： 0026-265X
年卷期： 2025 年 213 卷
页码：
收录情况： SCI
摘要： Phytophthora nicotianae (P. nicotianae) is a destructive soil-borne pathogen responsible for tobacco black shank disease. Early and accurate pathogen detection is essential for effective disease management. In this study, we developed a species-specific droplet digital PCR (ddPCR) assay for sensitive detection and quantification of P. nicotianae in field samples. The ddPCR assay exhibited excellent quantification inearity, with detection and quantification limits of 3.9 and 11.6 copies, respectively. Compared to quantitative real-time PCR (qPCR), ddPCR demonstrated superior sensitivity, especially in low pathogen load samples, with ddPCR results 2.63-fold higher. Inhibition analysis confirmed ddPCR's resilience to matrix effects. Additionally, finite element simulation of fungal proliferation patterns validated ddPCR results and illustrated pathogen transmission from soils to roots and stems. Regression models incorporating environmental variables predicted fungal loads with high accuracy (R2 > 0.88). These findings highlight ddPCR's capability for precise quantification and its adaptability for modeling-based analytical applications in complex sample matrices.
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