The eNemaSeq project aims to develop an innovative environmental DNA (eDNA)-based methodology for the detection of plant-parasitic nematodes (PPNs) in agricultural systems. Traditional methods for PPN monitoring, such as soil sampling and microscopic identification, are labor-intensive, time-consuming and expensive. By leveraging innovative sequencing techniques, this project seeks to enhance diagnostic efficiency, enabling faster and broader detection of quarantine nematodes.
The project involves both controlled greenhouse experiments and field applications to validate the eDNA approach from sampling strategies to data analysis. The methodology will be compared to traditional morphological and molecular approaches, with a focus on optimizing resources-efficiency and sensitivity.
Ultimately, the eNemaSeq project aims to integrate a new diagnostic pipeline into Switzerland’s official nematode monitoring framework, improving early detection and management strategies.