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Probe-Based RT-qPCR Workflow for Dual Interrogation of Virus/Viroid Genotype in Molecular Diagnostics Multiplex
Anthony Torres1, Reginald Gaudino1,2
1Cannabis Research Institute, Discovery Partners Institute, University of Illinois System, Chicago, IL, USA.
Methods in Molecular Biology (Clifton, N.J.)
|June 28, 2025
Summary
This study introduces a fast, cost-effective dual interrogation reverse transcriptase quantitative polymerase chain reaction (RT-qPCR) method for detecting multiple viroid and virus genotypes in plants. The protocol uses crude extracts for reliable, field-deployable plant pathogen screening.
Area of Science:
- Molecular biology
- Plant pathology
- Virology
Background:
- Accurate detection of plant viruses and viroids is crucial for disease management.
- Existing methods can be time-consuming, costly, or require extensive sample preparation.
- Simultaneous detection of multiple pathogens simplifies diagnostics.
Purpose of the Study:
- To present a protocol for dual interrogation RT-qPCR for simultaneous viroid and virus genotyping in plants.
- To enable rapid, high-throughput, and economical molecular diagnostics.
- To facilitate field-deployable testing using crude nucleic acid extracts.
Main Methods:
- Utilized dual interrogation molecular assays for simultaneous detection.
- Employed inhibitor-tolerant polymerases for robustness with crude extracts.
- Developed a protocol for nucleic acid extraction from raw tissue or FTA cards.
- Applied probe-based RT-qPCR for genotyping.
Main Results:
- Demonstrated a rapid and high-throughput method for pathogen detection.
- Achieved simultaneous detection of viroid and virus genotypes.
- Showcased the utility of crude nucleic acid extracts, including from FTA cards.
- Ensured high accuracy and robustness with challenging sample types.
Conclusions:
- The dual interrogation RT-qPCR protocol offers an efficient and reliable approach for plant pathogen screening.
- The method streamlines sample preparation, enabling field-deployable diagnostics.
- This protocol supports effective plant disease management through accurate genotyping.

