Gil, José Fernando
- Department of Plant Biology, Swedish University of Agricultural Sciences
Research article2017Peer reviewedOpen access
Massart, Sebastien; Candresse, Thierry; Gil, Jose; Lacomme, Christophe; Predajna, Lukas; Ravnikar, Maja; Reynard, Jean-Sebastien; Rumbou, Artemis; Saldarelli, Pasquale; Skoric, Dijana; Vainio, Eeva J.; Valkonen, Jari P. T.; Vanderschuren, Herve; Varveri, Christina; Wetzel, Thierry
Recent advances in high-throughput sequencing technologies and bioinformatics have generated huge new opportunities for discovering and diagnosing plant viruses and viroids. Plant virology has undoubtedly benefited from these new methodologies, but at the same time, faces now substantial bottlenecks, namely the biological characterization of the newly discovered viruses and the analysis of their impact at the biosecurity, commercial, regulatory, and scientific levels. This paper proposes a scaled and progressive scientific framework for efficient biological characterization and risk assessment when a previously known or a new plant virus is detected by next generation sequencing (NGS) technologies. Four case studies are also presented to illustrate the need for such a framework, and to discuss the scenarios.
NGS; pest risk analysis; virus diseases; biological characterization; plant health; regulatory agencies
Frontiers in Microbiology
2017, Volume: 8, article number: 45
Agricultural Science
Other Agricultural Sciences not elsewhere specified
DOI: https://doi.org/10.3389/fmicb.2017.00045
https://res.slu.se/id/publ/85357