Development of one-tube real-time RT-qPCR for the universal detection and quantification of Plum pox virus (PPV)

CRISPR/Cas technology: Opportunities for phytopathogenic viruses detection

Detection and monitoring of viruses are essential for healthy plants and prosperity. Recent development in CRISPR/Cas system in diagnosis has open an avenue well suited for pathogen detection. Variety of CRISPR associated proteins are being discovered, suggesting array of application and detection strategies in diagnosis. Phytopathogenic viruses are diverse with respect to their nucleic acid compositions, which presents a challenge in developing a single device applicable for almost all viruses. The review describes about the efficient use of CRISPR/Cas Technology in diagnosis, such as SHERLOCK, DETECTR and SATORI. These methods are different in their characteristic to identify specific nucleic acids and processing the detectable signals. These technologies are in their infancy and lot of scope is there to develop commercial kits. Plant tissue culture-based industries, climate control green houses, indoor cultivation facilities etc. has been considered as few examples. This review will be beneficial for researchers seeking to develop detection mechanism based on CRISPR/Cas technology. The outcome in the form of cost-effective detection of viruses will be boon for agro-based industries, which are facing challenges through virus contamination.

Development of three duplex real-time RT-PCR assays for the sensitive and rapid detection of a phytoplasma and five viral pathogens affecting stone fruit trees

Three duplex real-time reverse-transcription polymerase chain reaction (real-time RT-PCR) assays based on TaqMan chemistry, were developed for the simultaneous detection and specific quantification of apple chlorotic leafspot virus (ACLSV), plum pox virus (PPV), prunus necrotic ringspot virus (PNRSV), prune dwarf virus (PDV), peach latent mosaic viroid (PLMVd) and the European stone fruit yellows (ESFY) phytoplasma, which are considered among the most important pathogens affecting stone fruit trees. The quantitative RT-PCR (RT-qPCR) assays were optimized using RNA transcripts (linearized plasmid was used for the assay optimization of the ESFY phytoplasma) of known concentrations. No differences in sensitivity were recorded between the duplex and singleplex RT-qPCR assays. The amplification efficiency of the duplex assays reached 91.1-95.8%, while the linear range of quantification was from 20 to 2 × 10⁷ RNA/linearized plasmid transcripts for PLMVd and ESFY phytoplasma, 40 to 4 × 10⁷ RNA transcripts for ACLSV, PPV and PDV, and 10² to 10⁸ RNA transcripts for PNRSV, respectively. The duplex RT-qPCR assays, which were validated using both characterized isolates from all pathogens and field samples from Prunus species in Northern Greece, exhibited a broad detection range. Overall, the developed methods comprise useful tools that could be applied for the simultaneous and reliable detection of graft-transmissible pathogens in certification programs of Prunus spp.

Development of RT-PCR degenerate primers to overcome the high genetic diversity of grapevine virus T

Grapevine virus T (GVT) is a new member of the genus Foveavirus and has been reported to infect grapevines in several European countries. In 2018, GVT was detected for the first time in California in a domestic selection of wine grape, cv. Lambrusca di Alessandria, via high-throughput sequencing (HTS). To further investigate the presence of GVT in other grapevine plants, a two-step reverse transcription (RT)-PCR assay involving degenerate primers was developed. In order to cover the high genetic diversity of GVT, the sequences of available isolates were aligned to identify a conserved region in the coat protein gene that was a suitable target for the assay. The results of the RT-PCR assay showed that GVT was present in three additional grapevine selections among 416 plants integrating the Foundation Plant Services introduction pipeline; all were later confirmed by HTS. A complete and three near-complete genomes of the four GVT isolates were characterized and found to be divergent, sharing an overall 81 % pairwise identity in their nucleotide sequences. This suggested that the new RT-PCR assay was effective in detecting a broad range of GVT variants. The RT-PCR detection method developed in this study would be useful for routine virus testing.

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

Viruses can cause economic losses in fruit trees, including Prunus 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 Prunus-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 Prunus 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 Prunus 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.

Molecular Approaches for Low-Cost Point-of-Care Pathogen Detection in Agriculture and Forestry

Early detection of plant diseases is a crucial factor to prevent or limit the spread of a rising infection that could cause significant economic loss. Detection test on plant diseases in the laboratory can be laborious, time consuming, expensive, and normally requires specific technical expertise. Moreover, in the developing countries, it is often difficult to find laboratories equipped for this kind of analysis. Therefore, in the past years, a high effort has been made for the development of fast, specific, sensitive, and cost-effective tests that can be successfully used in plant pathology directly in the field by low-specialized personnel using minimal equipment. Nucleic acid-based methods have proven to be a good choice for the development of detection tools in several fields, such as human/animal health, food safety, and water analysis, and their application in plant pathogen detection is becoming more and more common. In the present review, the more recent nucleic acid-based protocols for point-of-care (POC) plant pathogen detection and identification are described and analyzed. All these methods have a high potential for early detection of destructive diseases in agriculture and forestry, they should help make molecular detection for plant pathogens accessible to anyone, anywhere, and at any time. We do not suggest that on-site methods should replace lab testing completely, which remains crucial for more complex researches, such as identification and classification of new pathogens or the study of plant defense mechanisms. Instead, POC analysis can provide a useful, fast, and efficient preliminary on-site screening that is crucial in the struggle against plant pathogens.