MetaPlantCode is a collaborative and transnational project with the aim to test, optimize, and harmonize best practices for plant metabarcoding. We use case studies from complex environmental samples across Europe, in order to develop innovative and automated data processing pipelines and laboratory protocols. These innovativations developed through integration of diverse biodiversity data will close knowledge gaps on the state of biodiversity, and community level interdependencies and dynamics. The new techniques will be suitable for large-scale, long-term, high-throughput environmental monitoring with precision that was previously unattainable.
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We recently conducted a short anonymous survey to better understand the needs, expectations, and challenges of our community in the field of plant metabarcoding. The responses are currently being evaluated and we’re excited to see what insights emerge. Your input will help us shape the future of MetaPlantCode!
To identify which grass species contribute to hay fever, the Botanic Garden Meise, Sciensano, and KU Leuven are now collecting airborne particles with a vacuum filter. The DNA is analyzed as part of the MetaPlantCode project.
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Our midterm meeting took place in Paris from May 13 to 15, 2025. Over the course of three days, there was a lot of discussion, brainstorming, and exchange of ideas. This time, the main focus was on the final product of MetaPlantCode. Exciting things are ahead!
The project brings together experts to develop better tools and standards for plant metabarcoding across Europe. Exciting developments are ahead!