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Lookup NU author(s): Professor Neil Boonham
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.High‐throughput sequencing (HTS) technologies have become indispensable tools assist-ing plant virus diagnostics and research thanks to their ability to detect any plant virus in a sample without prior knowledge. As HTS technologies are heavily relying on bioinformatics analysis of the huge amount of generated sequences, it is of utmost importance that researchers can rely on efficient and reliable bioinformatic tools and can understand the principles, advantages, and disadvantages of the tools used. Here, we present a critical overview of the steps involved in HTS as employed for plant virus detection and virome characterization. We start from sample preparation and nucleic acid extraction as appropriate to the chosen HTS strategy, which is followed by basic data analysis requirements, an extensive overview of the in‐depth data processing options, and taxonomic classification of viral sequences detected. By presenting the bioinformatic tools and a detailed overview of the consecutive steps that can be used to implement a well‐structured HTS data analysis in an easy and accessible way, this paper is targeted at both beginners and expert scientists engaging in HTS plant virome projects.
Author(s): Kutnjak D, Tamisier L, Adams I, Boonham N, Candresse T, Chiumenti M, De Jonghe K, Kreuze JF, Lefebvre M, Silva G, Malapi-Wight M, Margaria P, Plesko IM, McGreig S, Miozzi L, Remenant B, Reynard J-S, Rollin J, Rott M, Schumpp O, Massart S, Haegeman A
Publication type: Review
Publication status: Published
Journal: Microorganisms
Year: 2021
Volume: 9
Issue: 4
Online publication date: 14/04/2021
Acceptance date: 10/04/2021
ISSN (electronic): 2076-2607
Publisher: MDPI AG
URL: https://doi.org/10.3390/microorganisms9040841
DOI: 10.3390/microorganisms9040841
