Literature DB >> 30632895

Development of a qPCR Protocol to Detect the Cotton Bacterial Blight Pathogen, Xanthomonas citri pv. malvacearum, from Cotton Leaves and Seeds.

Xiao-Qiang Wang1, Tom W Allen2, Hui Wang3, Daniel G Peterson3, Robert L Nichols4, Aixin Liu5, Xiang-Dong Li5, Peng Deng6, David Jia6, Shi-En Lu6.   

Abstract

Bacterial blight, historically a seed-borne disease of cotton (Gossypium hirsutum) is caused by Xanthomonas citri pv. malvacearum, resulted in significant economic losses prior to development of resistant varieties and implementation of acid-delinting of planting seed. Periodic outbreaks have been associated with seed since the early twentieth century; of note, the disease has experienced a resurgence since 2011. Effective management of bacterial blight is dependent on accurate diagnosis and detection of the pathogen. Currently, detection of X. citri pv. malvacearum is performed by time-consuming microbiological methods. In this study, a novel and sensitive TaqMan-based qPCR protocol was developed to test for X. citri pv. malvacearum in cotton plant tissue. The primers developed are specific to five races of X. citri pv. malvacearum, but not to other Xanthomonas species or cotton-associated nonpathogenic bacteria. The efficiency of this assay was evaluated on artificially inoculated cotton leaves and seed, on naturally infected cotton leaves, and on bolls and seed originating from bacterial blight symptomatic bolls. The protocol's efficiency from artificially inoculated plant tissue was 102 copies g-1 and 37 copies from 1 g seed for leaves and seed, respectively. In addition, X. citri pv. malvacearum was detected from 94% of the seed samples originating from blight symptomatic bolls. The qPCR protocol provides a rapid and accurate method for diagnosis and detection of bacterial blight and offers a tool for monitoring X. citri pv. malvacearum and potentially reducing its spread in seed.

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Year:  2019        PMID: 30632895     DOI: 10.1094/PDIS-07-18-1150-RE

Source DB:  PubMed          Journal:  Plant Dis        ISSN: 0191-2917            Impact factor:   4.438


  2 in total

Review 1.  Trends in Molecular Diagnosis and Diversity Studies for Phytosanitary Regulated Xanthomonas.

Authors:  Vittoria Catara; Jaime Cubero; Joël F Pothier; Eran Bosis; Claude Bragard; Edyta Đermić; Maria C Holeva; Marie-Agnès Jacques; Francoise Petter; Olivier Pruvost; Isabelle Robène; David J Studholme; Fernando Tavares; Joana G Vicente; Ralf Koebnik; Joana Costa
Journal:  Microorganisms       Date:  2021-04-16

2.  Molecular Detection Assays for Rapid Field-Detection of Rice Sheath Blight.

Authors:  Ying-Hong Lin; Shih-Mao Shen; Chen-Jie Wen; Yi-Jia Lin; Tsai-De Chang; Sheng-Chi Chu
Journal:  Front Plant Sci       Date:  2021-01-11       Impact factor: 5.753

  2 in total

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