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Title:Guidelines for the reliable use of high throughput sequencing technologies to detect plant pathogens and pests
Authors:ID Massart, Sébastien (Author)
ID Adams, Ian (Author)
ID Al Rwahnih, Maher (Author)
ID Baeyen, Steve (Author)
ID Bilodeau, Guillaume J. (Author)
ID Blouin, Arnaud G. (Author)
ID Boonham, Neil (Author)
ID Candresse, Thierry (Author)
ID Chandellier, Anne (Author)
ID De Jonghe, Kris (Author)
ID Kutnjak, Denis (Author)
ID Mehle, Nataša (Author)
Files:URL URL - Source URL, visit https://peercommunityjournal.org/articles/10.24072/pcjournal.181/
 
.pdf PDF - Presentation file, download (1,90 MB)
MD5: 58C2A254270B6E6C36FEE6309F60C94B
 
URL URL - Source URL, visit https://doi.org/10.24072/pcjournal.181
 
Language:English
Typology:1.02 - Review Article
Organization:Logo NIB - National Institute of Biology
Abstract: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.
Publication status:Published
Publication version:Version of Record
Publication date:25.10.2022
Year of publishing:2022
Number of pages:str. 1-34
Numbering:Vol. 2
PID:20.500.12556/DiRROS-20104 New window
UDC:632
ISSN on article:2804-3871
DOI:10.24072/pcjournal.181 New window
COBISS.SI-ID:128955139 New window
Note:Nasl. z nasl. zaslona; Opis vira z dne 11. 11. 2022; Online 25. 10. 2022; Št. članka: e62;
Publication date in DiRROS:05.08.2024
Views:11
Downloads:5
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Record is a part of a journal

Title:Peer community journal
Publisher:Centre Mersenne
ISSN:2804-3871
COBISS.SI-ID:91008003 New window

Document is financed by a project

Funder:EC - European Commission
Project number:773139
Name:Validation of diagnostic tests to support plant health
Acronym:VALITEST

Funder:EC - European Commission
Project number:813542
Name:Innovative Network for Next Generation Training and Sequencing of Virome
Acronym:INEXTVIR

Funder:Other - Other funder or multiple funders
Name:Seviplan

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:bolezni rastlin, rastlinski virusi, rastlinski patogeni, rastlinski škodljivci, sekvenciranje


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