Comprehensive Real-Time RT-PCR Assays for the Detection of Fifteen Viruses Infecting Prunus spp

• Published in: Plants (Basel) Vol. 9; no. 2; p. 273
• Main Authors: Diaz-Lara, Alfredo, Stevens, Kristian, Klaassen, Vicki, Golino, Deborah, Al Rwahnih, Maher
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI 19.02.2020; MDPI AG
• Subjects: detection; genetic diversity; high throughput sequencing; prunus spp; real-time rt-pcr; viruses; genetic diversity; detection; viruses; Prunus spp; high throughput sequencing; real-time RT-PCR
• ISSN: 2223-7747; 2223-7747
• DOI: 10.3390/plants9020273

Viruses can cause economic losses in fruit trees, including spp., by reducing yield and marketable fruit. Given the genetic diversity of viruses, reliable diagnostic methods relying on PCR are critical in determining viral infection in fruit trees. This study evaluated the broad-range detection capacity of currently available real-time RT-PCR assays for -infecting viruses and developed new assays when current tests were inadequate or absent. Available assays for 15 different viruses were exhaustively evaluated in silico to determine their capacity to detect virus isolates deposited in GenBank. During this evaluation, several isolates deposited since the assay was designed exhibited nucleotide mismatches in relation to the existing assay's primer sequences. In cases where updating an existing assay was impractical, we performed a redesign with the dual goals of assay compactness and comprehensive inclusion of genetic diversity. The efficiency of each developed assay was determined by a standard curve. To validate the assay designs, we tested them against a comprehensive set of 87 positive and negative samples independently analyzed by high throughput sequencing. As a result, all the real-time RT-PCR assays described herein successfully detected the different viruses and their corresponding isolates. To further validate the new and updated assays a germplasm collection was surveyed. The sensitive and reliable detection methods described here will be used for the large-scale pathogen testing required to maintain the highest quality nursery stock.