The development and testing of a probe-based qPCR detection assay that integrates previously reported LC-specific primers with a newly designed probe, enabling sensitive and reproducible quantification of nematodes in plant and non-plant matrices is reported, supporting the utility of the assay for monitoring and surveillance.
Abstract
Beech leaf disease (BLD), caused by the migratory plant pathogenic nematode, Litylenchus crenatae (LC, Anguinidae) is presently one of the most concerning forest diseases in the United States. BLD has spread rapidly across the landscape and is currently found in 15 U.S. states and Ontario, Canada, making monitoring a top priority. Here, we report on the development and testing of a probe-based qPCR detection assay that integrates previously reported LC-specific primers with a newly designed probe, enabling sensitive and reproducible quantification of nematodes in plant and non-plant matrices. This assay exhibited strong in silico and in planta specificity and high quantitative performance (R2 = 0.988–0.996), with amplification efficiencies of 90.0–96.8%. The assay also performed consistently on LC-spiked spore trap membranes used to monitor the fungal aerobiome, despite matrix-associated shifts in amplification efficiency. These results support the utility of the assay for monitoring and surveillance. The assay’s reliability was further evaluated by two independent diagnostic laboratories, demonstrating high inter-laboratory concordance in detection and strong agreement in relative quantification. The assay’s analytical sensitivity and reproducible performance align with key validation principles outlined by the APS Diagnostic Assay Validation Network (DAVN) and support its application as a molecular tool in experimental, diagnostic, and surveillance contexts, with important implications for national and international LC monitoring and disease management.
‘Mal dello stacco’, a destructive fungal trunk disease of hazelnut, is caused by Anthostoma decipiens. This disease manifests as wedge-shaped cankers, vascular necroses, branch cracking, and reddish masses on bark surfaces. The disease has rapidly increased in incidence and spread, resulting in significant qualitative...
V. Piattino, I. Martino, M. Sanna et al.· Phytopathologia Mediterranea· 0 citations
The Senegalese sole (Solea senegalensis Kaup, 1858) is a highly valuable species in European aquaculture and capture fisheries. Efficient monitoring of its populations is essential for sustainable management, yet traditional survey methods are invasive and labor-intensive. Environmental DNA (eDNA) analysis offers a pow...
Emma Nicole Short, Marco Mendizábal-Castillero, E. Díaz-Ferguson et al.· Hydrobiology· 0 citations
For rapid determination of whether gray leaf spot disease in field-grown Welsh onion (
Allium fistulosum
L.) is caused by
Stemphylium vesicarium
, we targeted the glycerol-3-phosphate dehydrogenase (
gapdh
) gene and designed specific primers (sv-gpdF/R) that amplify a 194-bp fragment, showing high specificity....
Yexuan Zheng, Mifeng Bai, Yongqin Wang et al.· Hortscience· 0 citations
A diagnostic framework combining portable quantitative PCR (qPCR) and laboratory-based digital droplet PCR (ddPCR) assays to detect and quantify C. beticola in leaves, seeds, and soil-associated crop residues is validated and provides a platform for future field-ready disease surveillance and sustainable crop protectio...
Marc Crudele, Mekides Dugo Bati, Sebastiano Laera et al.· Journal of Fungi· 0 citations
Apple scab, caused by the fungus
Venturia inaequalis
, is a major disease that leads to severe economic losses in apple production. Effective management relies on early and accurate detection of the pathogen. In this study, we developed a loop‐mediated isothermal amplification (LAMP) assay for rapid, specific and...
Hong-Jie Qian, S. Shang, Zi-Yu Song et al.· Plant Pathology· 0 citations
Results show that genome-guided target selection can improve analytical specificity without compromising quantitative performance and provide a quantitative basis for interpreting qPCR-derived pathogen abundance in sugarcane leaf scald.
Cuilin Huang, Xiao Yang, Meilin Li et al.· Plant Disease· 0 citations
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