Multiplex TaqMan qPCR Assay for Detection, Identification, and Quantification of Three Sclerotinia Species

Dong Jae Lee1, Jin A Lee1, Dae-Han Chae2

  • 1Department of Biological Science, Kunsan National University, Gunsan, Korea.

Mycobiology
|November 21, 2022
PubMed

Insights

A new multiplex quantitative PCR (qPCR) assay accurately detects and quantifies three key Sclerotinia species. This rapid molecular tool aids in diagnosing and managing white mold disease in crops.

Area of Science:

  • Plant Pathology
  • Molecular Biology
  • Agricultural Science

Background:

  • White mold, caused by Sclerotinia species, is a significant plant disease transmitted through air, soil, or seeds.
  • Current detection methods (microscopy, culture-based) are slow, labor-intensive, and prone to errors.
  • Accurate identification of Sclerotinia species is crucial for effective disease management.

Purpose of the Study:

  • To develop a multiplex quantitative PCR (qPCR) assay for discriminating, detecting, and quantifying three economically important Sclerotinia species.
  • To enable rapid and accurate identification of Sclerotinia sclerotiorum, Sclerotinia minor, and Sclerotinia nivalis.

Main Methods:

  • Designed TaqMan primer/probe combinations targeting aspartyl protease gene sequences for species-specific detection.
  • Validated the assay using simplex and multiplex qPCR on sclerotium, soil, and pure culture samples.
  • Assessed specificity and sensitivity of the developed molecular assay.

Main Results:

  • The multiplex qPCR assay demonstrated high specificity and sensitivity for all three target Sclerotinia species.
  • Successful discrimination and quantification of S. sclerotiorum, S. minor, and S. nivalis were achieved.
  • The assay performed effectively on various sample types, including soil and sclerotia.

Conclusions:

  • The developed multiplex qPCR assay provides a reliable and efficient tool for identifying and quantifying Sclerotinia species.
  • This molecular diagnostic method can significantly improve disease diagnosis, forecasting, and management strategies for white mold.
  • The assay holds potential value for researchers and agricultural professionals involved in plant disease management.

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