Triplex real-time qPCR for the simultaneous detection of

Botryosphaeria dieback multiplex qPCR nursery preventive control rainwater soil trapped spores woody crops

Journal

Frontiers in plant science
ISSN: 1664-462X
Titre abrégé: Front Plant Sci
Pays: Switzerland
ID NLM: 101568200

Informations de publication

Date de publication:
2024
Historique:
received: 20 05 2024
accepted: 23 09 2024
medline: 28 10 2024
pubmed: 28 10 2024
entrez: 28 10 2024
Statut: epublish

Résumé

Species of The method was validated in symptomatic and asymptomatic almond, avocado, blueberry and grapevine plants and in environmental samples, such as cropping soil and rainwater and in artificially inoculated trapped spores, demonstrating the same performance on several matrices. The limit of detection of the triplex qPCR was 10 fg of genomic DNA for the three fungal targets, with high correlation coefficients (R2) and amplification efficiencies between 90 and 120%. Although the triplex qPCR demonstrated to be more sensitive and accurate than the traditional plate culturing and further sequencing method, a substantial agreement (kappa index = 0.8052 ± 0.0512) was found between the two detection methods. The highly sensitive qPCR assay allows for accurate diagnosis of symptomatic plants and early detection of

Identifiants

pubmed: 39464288
doi: 10.3389/fpls.2024.1435462
pmc: PMC11502354
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1435462

Informations de copyright

Copyright © 2024 Romero-Cuadrado, Aguado, Ruano-Rosa and Capote.

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.

Auteurs

Laura Romero-Cuadrado (L)

Department of Sustainable Crop Protection, Andalusian Institute of Agricultural and Fisheries Research and Training (IFAPA), Seville, Spain.

Ana Aguado (A)

Department of Sustainable Crop Protection, Andalusian Institute of Agricultural and Fisheries Research and Training (IFAPA), Seville, Spain.

David Ruano-Rosa (D)

Department of Sustainable Crop Protection, Andalusian Institute of Agricultural and Fisheries Research and Training (IFAPA), Seville, Spain.

Nieves Capote (N)

Department of Sustainable Crop Protection, Andalusian Institute of Agricultural and Fisheries Research and Training (IFAPA), Seville, Spain.

Classifications MeSH