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High-Throughput Sequencing Methods for the Detection of Two Strawberry Viruses in Post-Entry Quarantine
Luciano Nunes-Leite1, Lia W Liefting1, David W Waite1
1Plant Health and Environment Laboratory, Ministry for Primary Industries, P.O. Box 2095, Auckland 1140, New Zealand.
Viruses
|October 26, 2024
Summary
High-throughput sequencing (HTS) offers sensitive, strain-generic detection of plant viruses, comparable to quantitative PCR. This study validates RNAseq and tiled amplicon PCR (TA-PCR) for detecting viruses in imported germplasm.
Area of Science:
- Plant pathology
- Molecular biology
- Genomics
Background:
- Imported plant germplasm requires robust pathogen detection methods.
- High-throughput sequencing (HTS) offers potential for broad-spectrum pathogen identification.
- Existing PCR-based assays often lack strain-generic detection capabilities.
Purpose of the Study:
- To evaluate Metatranscriptomics (RNAseq) and tiled amplicon PCR (TA-PCR) as HTS techniques for detecting low-titre plant viruses.
- To compare the sensitivity and efficacy of RNAseq and TA-PCR against quantitative PCR (qPCR).
- To establish HTS protocols for flexible and comprehensive plant virus detection.
Main Methods:
- RNAseq was performed on ribosomal RNA-depleted samples from plants infected with Strawberry mottle virus (SMoV) and Strawberry vein banding virus (SVBV).
- Custom TA-PCR primer panels were designed for SMoV and SVBV detection.
- Sensitivity was assessed by comparing HTS results with qPCR assays at low viral titres.
Main Results:
- RNAseq achieved PCR-like sensitivity, detecting as few as 10 viral copies/µL with 60 million paired-end reads.
- TA-PCR successfully recovered significant portions of viral genomes, detecting viruses at approximately 10 viral copies/µL with a 500 bp minimum sequence recovery.
- The detection limits of both RNAseq and TA-PCR were comparable to those of qPCR.
Conclusions:
- HTS methods, specifically RNAseq and TA-PCR, are effective for detecting plant viruses at low concentrations.
- These HTS techniques provide strain-generic detection, enhancing capabilities beyond traditional PCR.
- The study provides a foundation for developing more flexible and sensitive HTS-based plant virus diagnostics.

