Cargando…
Side-by-Side Comparison of Post-Entry Quarantine and High Throughput Sequencing Methods for Virus and Viroid Diagnosis
SIMPLE SUMMARY: Increase in global trade represents new opportunities and challenges to the biosecurity system. The growth of imported plant materials into Australia, and associated pathogen testing, places pressure on limited resources to ensure the detection of pests of biosecurity concern at the...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8868628/ https://www.ncbi.nlm.nih.gov/pubmed/35205129 http://dx.doi.org/10.3390/biology11020263 |
Sumario: | SIMPLE SUMMARY: Increase in global trade represents new opportunities and challenges to the biosecurity system. The growth of imported plant materials into Australia, and associated pathogen testing, places pressure on limited resources to ensure the detection of pests of biosecurity concern at the border in a timely manner. Adoption of new technologies such as high throughput sequencing coupled with appropriate data analytical methods have the potential to accelerate quarantine testing. We report the use of a technology that relies on the plant host immune response against viruses and viroids to implement a single assay to scrutinize their presence across diverse plant commodities. ABSTRACT: Rapid and safe access to new plant genetic stocks is crucial for primary plant industries to remain profitable, sustainable, and internationally competitive. Imported plant species may spend several years in Post Entry Quarantine (PEQ) facilities, undergoing pathogen testing which can impact the ability of plant industries to quickly adapt to new global market opportunities by accessing new varieties. Advances in high throughput sequencing (HTS) technologies provide new opportunities for a broad range of fields, including phytosanitary diagnostics. In this study, we compare the performance of two HTS methods (RNA-Seq and sRNA-Seq) with that of existing PEQ molecular assays in detecting and identifying viruses and viroids from various plant commodities. To analyze the data, we tested several bioinformatics tools which rely on different approaches, including direct-read, de novo, and reference-guided assembly. We implemented VirusReport, a new portable, scalable, and reproducible nextflow pipeline that analyses sRNA datasets to detect and identify viruses and viroids. We raise awareness of the need to evaluate cross-sample contamination when analyzing HTS data routinely and of using methods to mitigate index cross-talk. Overall, our results suggest that sRNA analyzed using VirReport provides opportunities to improve quarantine testing at PEQ by detecting all regulated exotic viruses from imported plants in a single assay. |
---|