Early Molecular Detection of Ramularia mali in Apple Fruit

Early and accurate detection of plant pathogens is critical for protecting crop quality, reducing postharvest losses, and supporting informed storage and management decisions. In a 2023 study published in Plant Disease, researchers developed and validated a sensitive quantitative real-time PCR (qPCR) assay to detect Ramularia mali, an emerging fungal pathogen responsible for dry lenticel rot in apple (Malus domestica) fruit. The work highlights how reliable nucleic acid extraction—enabled by Omega Bio-tek kits—forms the foundation for successful molecular diagnostics.

Dry lenticel rot often develops months after harvest during cold storage, making visual inspection unreliable at early stages. To address this challenge, the research team collected both symptomatic and asymptomatic apple samples from multiple cultivars, including Ambrosia, Golden Delicious, Gala, Jeromine, Opal, and Story Inored. High-quality DNA extraction was a critical first step in enabling precise identification and quantification of the pathogen across these diverse samples.

Omega Bio-tek’s E.Z.N.A.® Fungal DNA Mini Kit was used to extract genomic DNA from fungal cultures of R. mali isolated from infected apple fruit. The kit provided clean, high-yield DNA suitable for downstream PCR amplification and sequencing, allowing researchers to confidently distinguish R. mali from closely related fungal species. For direct testing of apple tissues—both symptomatic and visually healthy—the team relied on the E.Z.N.A.® Plant DNA Kit. This kit enabled efficient purification of DNA from apple peel samples, even in the presence of plant-derived inhibitors that often interfere with PCR-based assays.

Using DNA prepared with these Omega Bio-tek kits, the researchers developed a highly specific SYBR Green qPCR assay targeting the calmodulin gene of R. mali. The assay demonstrated excellent sensitivity, detecting as little as 100 femtograms of pathogen DNA, and showed strong reproducibility across laboratories. Importantly, R. mali DNA was detected in approximately two-thirds of asymptomatic apple samples, underscoring the value of early molecular screening before visible symptoms emerge.

This study illustrates how dependable nucleic acid extraction directly supports actionable insights. By pairing robust qPCR methods with Omega Bio-tek extraction technologies, the researchers delivered a practical tool that could help growers, storage facilities, and quality managers predict disease risk and optimize storage strategies.

https://doi.org/10.1094/PDIS-07-22-1586-RE
Prencipe, S., Valente, S., Nari, L., & Spadaro, D. (2023). A quantitative real-time PCR assay for early detection and quantification of Ramularia mali, an emerging pathogen of apple causing dry lenticel rot. Plant Disease, 107(5), 1399–1407.
Shopping Cart
Scroll to Top