Evidence map›Paper›PMID 33920047›Full record

ReviewMicroorganisms2021

A Primer on the Analysis of High-Throughput Sequencing Data for Detection of Plant Viruses.

Denis Kutnjak, Lucie Tamisier, Ian Adams, Neil Boonham, Thierry Candresse, Michela Chiumenti, Kris De Jonghe, Jan F Kreuze, Marie Lefebvre, Gonçalo Silva and 12 more

Open access · goldAbstract readReview
In one paragraph

Review in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
13.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 70 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors at 14 institutions in 10 countries.

Denis KutnjakDepartment of Biotechnology and Systems Biology, National Institute of Biology, Večna pot 111, 1000 Ljubljana, Slovenia.ORCID 0000-0002-5327-0587
Lucie TamisierPlant Pathology Laboratory, Université de Liège, Gembloux Agro-Bio Tech, TERRA, Passage des Déportés, 2, 5030 Gembloux, Belgium.ORCID 0000-0002-9231-2997
Ian AdamsFera Science Limited, York YO41 1LZ, UK.
Neil BoonhamInstitute for Agri-Food Research and Innovation, Newcastle University, King's Rd, Newcastle Upon Tyne NE1 7RU, UK.
Thierry CandresseUMR 1332 Biologie du Fruit et Pathologie, INRA, University of Bordeaux, 33140 Villenave d'Ornon, France.ORCID 0000-0001-9757-1835
Michela ChiumentiInstitute for Sustainable Plant Protection, National Research Council, Via Amendola, 122/D, 70126 Bari, Italy.ORCID 0000-0002-8412-3037
Kris De JonghePlant Sciences Unit, Flanders Research Institute for Agriculture, Fisheries and Food, Burg. Van Gansberghelaan 96, 9820 Merelbeke, Belgium.ORCID 0000-0003-1763-5654
Jan F KreuzeInternational Potato Center (CIP), Avenida la Molina 1895, La Molina, Lima 15023, Peru.ORCID 0000-0002-6116-9200
Marie LefebvreUMR 1332 Biologie du Fruit et Pathologie, INRA, University of Bordeaux, 33140 Villenave d'Ornon, France.ORCID 0000-0002-3093-5873
Gonçalo SilvaNatural Resources Institute, University of Greenwich, Central Avenue, Chatham Maritime, Kent ME4 4TB, UK.ORCID 0000-0001-5544-2947
Martha Malapi-WightBiotechnology Risk Analysis Programs, Biotechnology Regulatory Services, Animal and Plant Health Inspection Service, U.S. Department of Agriculture, Riverdale, MD 20737, USA.ORCID 0000-0003-2249-6257
Paolo MargariaLeibniz Institute-DSMZ, Inhoffenstrasse 7b, 38124 Braunschweig, Germany.
Irena Mavrič PleškoAgricultural Institute of Slovenia, Hacquetova Ulica 17, 1000 Ljubljana, Slovenia.
Sam McGreigFera Science Limited, York YO41 1LZ, UK.
Laura MiozziInstitute for Sustainable Plant Protection, National Research Council of Italy (IPSP-CNR), Strada delle Cacce 73, 10135 Torino, Italy.ORCID 0000-0003-0410-8230
Benoit RemenantANSES Plant Health Laboratory, 7 Rue Jean Dixméras, CEDEX 01, 49044 Angers, France.
Jean-Sebastien ReynardAgroscope, Route de Duillier 50, 1260 Nyon, Switzerland.ORCID 0000-0002-2337-107X
Johan RollinPlant Pathology Laboratory, Université de Liège, Gembloux Agro-Bio Tech, TERRA, Passage des Déportés, 2, 5030 Gembloux, Belgium.
Mike RottSidney Laboratory, Canadian Food Inspection Agency, 8801 East Saanich Rd, North Saanich, BC V8L 1H3, Canada.
Olivier SchumppAgroscope, Route de Duillier 50, 1260 Nyon, Switzerland.
Sébastien MassartPlant Pathology Laboratory, Université de Liège, Gembloux Agro-Bio Tech, TERRA, Passage des Déportés, 2, 5030 Gembloux, Belgium.
Annelies HaegemanPlant Sciences Unit, Flanders Research Institute for Agriculture, Fisheries and Food, Burg. Van Gansberghelaan 96, 9820 Merelbeke, Belgium.ORCID 0000-0002-8192-5368
University of Liège · BEAgroscope · CHFera Science (United Kingdom) · GBInstitute for Sustainable Plant Protection · ITUniversité de Bordeaux · FRAgence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail · FRAnimal and Plant Health Inspection Service · USCanadian Food Inspection Agency · CAInternational Potato Center · PELeibniz Association · DENational Institute of Biology · SINatural Resources Institute · GBNewcastle University · GBUniversity of Maribor · SI

Funding

Bill and Melinda Gates Foundation ID OPP1130216Consortium of International Agricultural Research Centers research program on roots, tubers and bananasEuphresco 2018-A-289FOD Volksgezondheid, Veiligheid van de Voedselketen en Leefmilieu RI18_A-289Javna Agencija za Raziskovalno Dejavnost RS P4-04047, P4-0072, L7-2632
6 · The paper itself

Abstract

High-throughput sequencing (HTS) technologies have become indispensable tools assisting 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.

Indexed as

bioinformaticsdetectiondiscoveryhigh-throughput sequencingplant virus

Identifiers

PMID33920047
PMCPMC8071028
OpenAlexW3153691888

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.