Rapid and Sensitive Detection of Tomato Brown Rugose Fruit Virus in Tomato and Pepper Seeds by Reverse Transcription Loop-Mediated Isothermal Amplification Assays (Real Time and Visual) and Comparison With RT-PCR End-Point and RT-qPCR Methods.

RT-LAMP assay seed testing seeds contamination tomato brown rugose fruit virus virus diagnostic

Journal

Frontiers in microbiology
ISSN: 1664-302X
Titre abrégé: Front Microbiol
Pays: Switzerland
ID NLM: 101548977

Informations de publication

Date de publication:
2021
Historique:
received: 14 12 2020
accepted: 15 03 2021
entrez: 10 5 2021
pubmed: 11 5 2021
medline: 11 5 2021
Statut: epublish

Résumé

Tomato brown rugose fruit virus (ToBRFV) represents an emerging viral threat to the productivity of tomato and pepper protected cultivation worldwide. This virus has got the status of quarantine organism in the European Union (EU) countries. In particular, tomato and pepper seeds will need to be free of ToBRFV before entering the EU and before coming on the market. Thus, lab tests are needed. Here, we develop and validate a one-step reverse transcription LAMP platform for the detection of ToBRFV in tomato and pepper leaves, by real-time assay [reverse transcription loop-mediated isothermal amplification (RT-LAMP)] and visual screening (visual RT-LAMP). Moreover, these methods can also be applied successfully for ToBRFV detection in tomato and pepper seeds. The diagnostic specificity and sensitivity of both RT-LAMP and visual RT-LAMP are both 100%, with a detection limit of nearly 2.25 fg/μl, showing the same sensitivity as RT-qPCR Sybr Green, but 100 times more sensitive than end-point RT-PCR diagnostic methods. In artificially contaminated seeds, the proposed LAMP assays detected ToBRFV in 100% of contaminated seed lots, for up to 0.025-0.033% contamination rates in tomato and pepper, respectively. Our results demonstrate that the proposed LAMP assays are simple, inexpensive, and sensitive enough for the detection of ToBRFV, especially in seed health testing. Hence, these methods have great potential application in the routine detection of ToBRFV, both in seeds and plants, reducing the risk of epidemics.

Identifiants

pubmed: 33967980
doi: 10.3389/fmicb.2021.640932
pmc: PMC8096992
doi:

Types de publication

Journal Article

Langues

eng

Pagination

640932

Informations de copyright

Copyright © 2021 Rizzo, Da Lio, Panattoni, Salemi, Cappellini, Bartolini and Parrella.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

Nucleic Acids Res. 2000 Jun 15;28(12):E63
pubmed: 10871386
Arch Virol. 2016 Feb;161(2):503-6
pubmed: 26586328
Plants (Basel). 2020 Apr 06;9(4):
pubmed: 32268586
Mol Plant. 2013 May;6(3):971-4
pubmed: 23275490
PLoS One. 2019 Jan 17;14(1):e0210871
pubmed: 30653593
PLoS One. 2017 Jan 20;12(1):e0170429
pubmed: 28107419
Bioinformatics. 2012 Jun 15;28(12):1647-9
pubmed: 22543367
PLoS One. 2020 Jun 24;15(6):e0230403
pubmed: 32579552
FEMS Immunol Med Microbiol. 2011 Jun;62(1):41-8
pubmed: 21276085
Plant Pathol. 2015 Apr;64(2):286-296
pubmed: 26146413
Mol Biol Evol. 2013 Apr;30(4):772-80
pubmed: 23329690
Genome Announc. 2013 Oct 03;1(5):
pubmed: 24092788

Auteurs

Domenico Rizzo (D)

Laboratory of Phytopathological Diagnostics and Molecular Biology, Plant Protection Service of Tuscany, Pistoia, Italy.

Daniele Da Lio (D)

Department of Agricultural, Food and Agro-Environmental Sciences, University of Pisa, Pisa, Italy.

Alessandra Panattoni (A)

Department of Agricultural, Food and Agro-Environmental Sciences, University of Pisa, Pisa, Italy.

Chiara Salemi (C)

Department of Agricultural, Food and Agro-Environmental Sciences, University of Pisa, Pisa, Italy.

Giovanni Cappellini (G)

Laboratory of Phytopathological Diagnostics and Molecular Biology, Plant Protection Service of Tuscany, Pistoia, Italy.

Linda Bartolini (L)

Laboratory of Phytopathological Diagnostics and Molecular Biology, Plant Protection Service of Tuscany, Pistoia, Italy.

Giuseppe Parrella (G)

Institute for Sustainable Plant Protection of National Research Council (IPSP-CNR), Portici, Italy.

Classifications MeSH