Related Experiment Video
Updated: Jul 28, 2026
12:01
A PCR-based Genotyping Method to Distinguish Between Wild-type and Ornamental Varieties of Imperata cylindrica
Published on: February 20, 2012
31.8K
Digital PCR Genotyping of Pepino Mosaic Virus
Amadej Jelenčič1,2, David Dobnik3, Alexandra Bogožalec Košir3
1Department of Biotechnology and Systems Biology, National Institute of Biology, Ljubljana, Slovenia. amadej.jelencic@nib.si.
Methods in Molecular Biology (Clifton, N.J.)
|June 28, 2025
Summary
Digital PCR (dPCR) offers a sensitive and reliable method for detecting and genotyping the Pepino mosaic virus (PepMV) in tomato crops. This study presents RT-dPCR protocols for precise quantification and variant identification, crucial for disease management.
Area of Science:
- Plant Pathology
- Molecular Biology
- Agricultural Science
Background:
- Pepino mosaic virus (PepMV) significantly impacts tomato production, necessitating effective detection methods.
- Conventional methods like qPCR face limitations in complex samples and inhibitor tolerance.
- Digital PCR (dPCR) offers advantages in absolute quantification, multiplexing, and inhibitor resistance.
Purpose of the Study:
- To present robust protocols for PepMV genotyping and quantification.
- To leverage digital PCR (dPCR) for improved plant virus detection.
- To enable precise identification of PepMV variants in agricultural settings.
Main Methods:
- Development and application of one-step reverse transcription digital PCR (RT-dPCR).
- Implementation of simplex assays for individual PepMV variant detection.
- Design of duplex assays for simultaneous detection of multiple PepMV variants.
Main Results:
- Demonstration of RT-dPCR protocols for accurate PepMV quantification.
- Successful genotyping of diverse PepMV variants using simplex and duplex assays.
- Validation of dPCR's suitability for analyzing inhibitor-containing plant samples.
Conclusions:
- RT-dPCR provides a sensitive, reliable, and robust method for PepMV detection and genotyping.
- dPCR enhances the ability to manage PepMV by enabling precise variant identification.
- These protocols support improved disease surveillance and control strategies in tomato cultivation.
