Fujian Journal of Agricultural Sciences ›› 2019, Vol. 34 ›› Issue (1): 76-82.doi: 10.19303/j.issn.1008-0384.2019.01.012

• Plant Protection • Previous Articles    

Nested-PCR Detection of Taro Leaf Blight Pathogen Phytophthora colocasiae

LAN Cheng-zhong1,2, LU Xue-song1, YAO Jin-ai1, DING Xue-ling1, JIANG Jun-xi2   

  1. 1. Fujian Key Laboratory for Monitoring and Integrated Management of Crop Pest, Institute of Plant Protection/Fujian Academy of Agricultural Sciences, Fuzhou, Fujian 350013, China;
    2. College of Agronomy, Jiangxi Agricultural University, Nanchang, Jiangxi 330045, China
  • Received:2017-12-05 Revised:2018-11-25 Published:2019-03-27

Abstract: [Objective]To develop a PCR assay for rapid and accurate detection, epidemiology information, and integrated disease management on Phytophthora colocasiae, the pathogen of taro phytophthora blight.[Method]A pair of species-specific primers, PCOF/PCOR, for P. colocasiae was designed based on the differences in Ras-related protein (Ypt1) gene sequence between P. colocasiae and other species in the same genus. The specificity, sensitivity and applicability of the primers were evaluated.[Result] With the optimized reaction conditions and amplification,PCOF/PCOR amplified only a single band of 172 bp with genomic DNA extracted from all P.colocasiae strains, while the other tested pathogens had no corresponding band. The sensitivity of conventional PCR method using PCOF/PCOR as primers was 100 pg of genomic DNA in a 25 μL reaction solution. Whereas, the newly developed nested-PCR performed using Ypt1 gene universal primers ph1F/Yph2R for the first-round and PCOF/PCOR for the second-round increased 10 000-fold on the sensitivity to 10 fg. The nested-PCR methodology could positively detected P. colocasiae 100% in diseased leaves or 57.5% in symptom-free infected tissues.[Conclusion] The newly established nested-PCR assay could be used for rapid, specific and sensitive detection of P. colocasiae.

Key words: Phytophthora colocasiae, specific primer, nested-PCR, molecular detection

CLC Number: 

  • S435.72