Sébastien Massart (Avtor), Ian Adams (Avtor), Maher Al Rwahnih (Avtor), Steve Baeyen (Avtor), Guillaume J. Bilodeau (Avtor), Arnaud G. Blouin (Avtor), Neil Boonham (Avtor), Thierry Candresse (Avtor), Anne Chandellier (Avtor), Kris De Jonghe (Avtor), Denis Kutnjak (Avtor), Nataša Mehle (Avtor)

Povzetek

High-throughput sequencing (HTS) technologies have the potential to become one of the most significant advances in molecular diagnostics. Their use by researchers to detect and characterize plant pathogens and pests has been growing steadily for more than a decade and they are now envisioned as a routine diagnostic test to be deployed by plant pest diagnostics laboratories. Nevertheless, HTS technologies and downstream bioinformatics analysis of the generated datasets represent a complex process including many steps whose reliability must be ensured. The aim of the present guidelines is to provide recommendations for researchers and diagnosticians aiming to reliably use HTS technologies to detect plant pathogens and pests. These guidelines are generic and do not depend on the sequencing technology or platform. They cover all the adoption processes of HTS technologies from test selection to test validation as well as their routine implementation. A special emphasis is given to key elements to be considered: undertaking a risk analysis, designing sample panels for validation, using proper controls, evaluating performance criteria, confirming and interpreting results. These guidelines cover any HTS test used for the detection and identification of any plant pest (viroid, virus, bacteria, phytoplasma, fungi and fungus-like protists, nematodes, arthropods, plants) from any type of matrix. Overall, their adoption by diagnosticians and researchers should greatly improve the reliability of pathogens and pest diagnostics and foster the use of HTS technologies in plant health.

Ključne besede

bolezni rastlin;rastlinski virusi;rastlinski patogeni;rastlinski škodljivci;sekvenciranje;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.02 - Pregledni znanstveni članek
Organizacija: NIB - Nacionalni inštitut za biologijo
UDK: 632
COBISS: 128955139 Povezava se bo odprla v novem oknu
ISSN: 2804-3871
Št. ogledov: 18
Št. prenosov: 12
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarne ključne besede: bolezni rastlin;rastlinski virusi;rastlinski patogeni;rastlinski škodljivci;sekvenciranje;
Komentar vira: Nasl. z nasl. zaslona; Opis vira z dne 11. 11. 2022; Online 25. 10. 2022; Št. članka: e62;
Strani: str. 1-34
Zvezek: ǂVol. ǂ2
DOI: 10.24072/pcjournal.181
ID: 24669977
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