Full Text

Turn on search term navigation

© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Lily symptomless virus (LSV), Lily mottle virus (LMoV), Cucumber mosaic virus (CMV), Shallot yellow stripe virus (SYSV), and Plantago asiatica mosaic virus (PlAMV) are five of the economically important viruses infecting lilies (Lilium spp.) worldwide. In order to prevent the occurrence and spread of these viruses, it is necessary to develop a rapid, effective, and sensitive detection method for the simultaneous detection and specific quantification of these viruses. In this study, specific primers and probes for multiplex TaqMan real-time PCR assays designed from conserved regions of the coat protein sequence of each virus were used for the simultaneous detection of these viruses in lilies (Lilium spp.). The optimal concentration of primers and probes and reaction annealing temperature were 20 µM and 55.9 °C, respectively. The detection limits of the assay were 1.33 × 102, 1.27 × 101, 1.28 × 101, 2.33 × 102, and 2.01 × 102 copies·μL−1 for LSV, LMoV, CMV, SYSV, and PlAMV, respectively. Specificity was determined using seven viral pathogens of lilies. Variability tests of intra- and inter-assays showed high reproducibility with coefficients of variation <2%. The multiplex TaqMan real-time PCR assay was used to detect these viruses from lily samples in China. In brief, our developed assay showed high specificity, sensitivity, and reproducibility for the simultaneous detection and differentiation of five lily-infecting viruses and can be used for certification and quarantine programs.

Details

Title
Application of Multiplex TaqMan Real-Time PCR Assay in Survey of Five Lily Viruses Infecting Lilium spp.
Author
Xu, Leifeng  VIAFID ORCID Logo  ; Song, Meng; Jun, Ming  VIAFID ORCID Logo 
First page
47
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
20734395
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2621251606
Copyright
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.