数字农科院2.0

Development and Application of a qPCR-Based Method Coupled with Spore Trapping to Monitor Airborne Pathogens of Wheat Causing Stripe Rust, Powdery Mildew, and Fusarium Head Blight

文献类型： 外文期刊

作者： Aolin Wang;;;; Zhaoyue Shang;;;; Ru Jiang;;;; Meihui Zhang;;;;Jifeng Wang;;;;Hongfu Li;;;;Bin Zhang;;;; Huarong Tang;;;; Fei Xu;;;; Xiaoping Hu;;;; Wei Liu;;;; Jieru Fan;;;; Yilin Zhou;;;;and Jonathan S. West

关键词： airborne inoculum; fungal diseases of wheat; monitoring; multiplex real-time PCR; spore quantification; spore traps

期刊名称： PLANT DISEASE

ISSN： 0191-2917

年卷期： 2025 年

页码：

收录情况： SCIE（2025版）

摘要： Common wheat (Triticum aestivum L.) production in China is challenged by stripe (yellow) rust, powdery mildew, and Fusarium head blight. Airborne inoculum of these pathogens is the causative driver of disease epidemics. Thus, monitoring of airborne inoculum on such fungal diseases is expected to provide some reliable estimations of disease development, especially by targeting multiple diseases simultaneously. This paper reports the development of a new practical qPCR-based method coupled with spore trapping to quantify simultaneously airborne inoculum of Puccinia striiformis f. sp. tritici (Pst), Blumeria graminis f. sp. tritici (Bgt), as well as Fusarium graminearum (Fg) and F. asiaticum and discusses its potential use in disease-risk warnings. The technique can detect DNA of Pst and Bgt at quantities as low as 0.2 pg, and 2 pg for Fg (i.e., representing 0.65 urediniospores, 1.18 conidia, and 10 macroconidia, respectively), and neither T. aestivum DNA nor DNA of other common wheat pathogens were amplified. Linear relationships were produced between the number of spores on tapes determined by qPCR and conventional microscopy, with a small variation (R2 value 0.97 to 0.99 depending on pathogen species). The daily concentrations of spores of the three pathogens were monitored using a Burkard 7-day recording spore trap, and the airborne spores were collected from a field near Langfang City, Hebei Province, China. The patterns of spore concentration dynamics in the air determined by triplex qPCR were close to those counted by conventional microscopy in a duplicated subsample. The developed assay can be an alternative to conventional microscopy to process large samples. This will improve monitoring power by providing timely risk warning nformation to growers regarding the timing of fungicide applications.

分类号：

  • 相关文献

[1]A Multiplex Taqman Real-Time Pcr F.or Detection And Differentiation O f Four Antigenic Types Of Canine Parvovirus In China. Sun, YR, Cheng, YN, Lin, P, Yi, L, Tong, MW, Cao, ZG, Wang, GL, Li, S, Cheng, SP, Yuan, WZ, Wang, JK. 2018

[2]Invasion Biology, Ecology, And Management O.f Frankliniella Occidentalis In C hina. Wan, Fanghao,Zhang, Bin,Qian, Wanqiang,Wan, Fanghao,Zhang, Bin,Qiao, Xi,Xi, Yu,Qiao, Xi,Wan, Fanghao. 2019

[3]Microfluidic Tools For Lipid Production And Modification: A Review. Wang, Jin-Zheng,Wu, Fu-An,Zhu, Lin-Lin,Wang, Jun,Wu, Fu-An,Zhou, Xue-Jiao,Li, Wen-Jing,Wu, Fu-An,Wang, Jun,Wang, Jun,Wu, Fu-An,Wang, Jun,Herman, Richard Ansah,Zhang, Fan. 2019

[4]Residues Of Salbutamol And Identification O.f Its Metabolites In B eef Cattle. Zhang, K, Tang, CH, Meng, QS, Du, W, Bo, T, Zhao, QY, Liang, XW, Liu, SS, Zhang, ZX, Zhang, JM. 2017

[5]Performance Evaluation Of A Large-Scale S.wine Manure Mesophilic Biogas P lant In China. Wang, Y, Zhang, W, Dong, H, Zhu, Z, Li, B. 2017

[6]Time-varying baseline error correction method for ground-based micro-deformation monitoring radar. Lei T., Wang J., Huang P., Tan W., Qi Y., Xu W., Zhao C.. 2022

[7]Effect Of Cherry Cultivar And T.rapping Height On Population D ynamics Of Drosophila Fruit Flies In Cherry Orchards In Northern China. Wan, Fanghao,Zhou, Hongxu,Wang, Jiqing,Wang, Zhenbo,Wan, Fanghao,Zhou, Hao,Yang, Qinmin,Man, Xiaoming,Tan, Xiumei. 2019

[8]The Use Of Hair As A. Long-Term Indicator Of L ow-Dose Beta(2) Agonist Treatments In Cattle: Implications For Growth-Promoting Purposes Monitoring. Liu, J, Tang, CH, Long, RJ, Zhang, K, Han, YS, Zhao, QY, Wang, HL, Zhao, FZ, Meng, QS, Zhang, JM. 2019

[9]Design of photoelectric opposite-beam grain flow monitoring device based on BP neural network. Jin C., Haiyang X., Zhuohuai G., Yaoming L.. 2022

作者其他论文 更多>>