Antonio Tiberini (Author), Ariana Manglli (Author), Anna Taglienti (Author), Ana Vučurović (Author), Jakob Brodarič (Author), Luca Ferretti (Author), Marta Luigi (Author), Andrea Gentili (Author), Nataša Mehle (Author)

Abstract

Tobamovirus species represent a threat to solanaceous crops worldwide, due to their extreme stability and because they are seed borne. In particular, recent outbreaks of tomato brown rugose fruit virus in tomato and pepper crops led to the establishment of prompt control measures, and the need for reliable diagnosis was urged. Another member of the genus, tomato mottle mosaic virus, has recently gained attention due to reports in different continents and its common features with tomato brown rugose fruit virus. In this study, a new real-time RT-PCR detection system was developed for tomato brown rugose fruit virus and tomato mottle mosaic virus on tomato leaves and seeds using TaqMan chemistry. This test was designed to detect tomato mottle mosaic virus by amplifying the movement protein gene in a duplex assay with the tomato brown rugose fruit virus target on the CP-3’NTR region, which was previously validated as a single assay. The performance of this test was evaluated, displaying analytical sensitivity 10−5–10−6-fold dilution for seeds and leaves, respectively, and good analytical specificity, repeatability, and reproducibility. Using the newly developed and validated test, tomato brown rugose fruit virus detection was 100% concordant with previously performed analyses on 106 official samples collected in 2021 from different continents.

Keywords

real-time PCR;tomato mottle mosaic virus;tomato brown rugose fruit virus;leaves detection;seeds detections;performance criteria;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: NIB - National Institute of Biology
UDC: 632
COBISS: 97172483 Link will open in a new window
ISSN: 2223-7747
Views: 8
Downloads: 5
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary keywords: Solanum lycopersicum;Capsicum annum;
Source comment: Soavtorji: Ariana Manglli, Anna Taglienti, Ana Vučurović,Jakob Brodarič, Luca Ferretti, Marta Luigi, Andrea Gentili, Nataša Mehle; Nasl. z nasl. zaslona; Opis vira z dne 14. 2. 2022; Št. članka: 489;
Pages: str. 1-20
Volume: ǂVol. ǂ11
Issue: ǂiss. ǂ4
Chronology: 11 Feb. 2022
DOI: 10.3390/plants11040489
ID: 24536929