| Literature DB >> 28174561 |
Sebastien Massart1, Thierry Candresse2, José Gil3, Christophe Lacomme4, Lukas Predajna5, Maja Ravnikar6, Jean-Sébastien Reynard7, Artemis Rumbou8, Pasquale Saldarelli9, Dijana Škorić10, Eeva J Vainio11, Jari P T Valkonen12, Hervé Vanderschuren13, Christina Varveri14, Thierry Wetzel15.
Abstract
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.Entities:
Keywords: NGS; biological characterization; pest risk analysis; plant health; regulatory agencies; virus diseases
Year: 2017 PMID: 28174561 PMCID: PMC5258733 DOI: 10.3389/fmicb.2017.00045
Source DB: PubMed Journal: Front Microbiol ISSN: 1664-302X Impact factor: 5.640
Figure 1Framework for known viruses. Y means positive response and N negative response (dotted lines correspond to optional analyses for non quarantine pathogens depending on the request of the customer).
Figure 2Framework proposal following discovery of new viruses. Y means positive response and N negative response. The numbers between brackets correspond to the chapters in the text. *The absence of viral particle should be recorded and further experiments carried out if new cases are discovered.