DARWIN aims to contribute to a fair, healthy, safe and environmentally friendly food system by co-developing an innovative detection strategy by integrating targeted analytical PCR-based methods, untargeted sequencing methods, and digital solutions. A new generation of innovative and reliable DNA-based analytical detection methods, ranging from enhanced PCR methods for NGT detection, identification and quantification in single and multi-target systems, to untargeted sequencing methods related to whole-genome sequencing, laser capture microdissection-based sequencing and high throughput metagenomics sequencing for NGT screening and characterization. DARWIN will bring a cutting-edge approach developing genetic fingerprints using artificial intelligence to overcome challenges related to event-specific targeted methods, unambiguously identifying specific NGT lines. DARWIN also brings innovation in the new application of digital solutions such as data spaces and documentation-based screening to increase the data evidence to NGTs; blockchains to enable transparent and traceable detection along the food chain; AI models; and a Decision Support System to improve accuracy and support the selection of the best fit for purpose detection methods. DARWIN will reach TRL4-5 though validation including in-house, transferability and full trials, and presenting 3 cases representative of real situations relevant for NGT products in the EU agri-food market. After methods validation and the definition of a clear oriented detection strategy, DARWIN will theoretically extrapolate its finding to more complex scenarios encountering the diversity of NGT lines and food products that might reach EU markets. All this, under an interdisciplinary co-creation ecosystem based on Responsible Research and innovation (RRI) principals, empowering a wide variety of stakeholders - including consumers - in Europe and internationally; and robustly contributing to the policy making.

EUCLEG aims to reduce Europe and China’s dependency on protein imports by developing efficient breeding strategies for the legume crops of major economic importance in human food and animal feed. The objective is to improve diversification, crop productivity, yield stability and protein quality of both forage (alfalfa and red clover) and grain (pea, faba bean and soybean) legumes. Using diverse and extensive genetic resources and taking advantage of advanced molecular tools, EUCLEG aims to identify and develop the best genetic resources, phenotyping methods and molecular tools to breed legume varieties with improved performance under biotic and abiotic stresses in the representative European and Chinese agro-ecological areas. The potential for new uses of forage species for human nutrition will be explored. Searchable databases will be developed or built to host passport, agronomic and genetic data facilitating exchanges and use of genetic resources. The evaluation of genetic resources in multi-site trials will allow to broaden the breeding material and extend agro-ecological adaptation. The genetic architecture of key breeding traits will be analysed using association studies in order to identify molecular markers related to phenotypic traits. Finally, genomic selection strategies will be assessed for their potential to improve genetic progress. Practical tools for genotyping, data management and calculation will be provided to breeders to implement marker-assisted selection and genomic selection leading to the creation of new varieties in the long-term. The partnership gathered in EUCLEG, combining public institutes and private companies of Europe and China, guaranties the transfer of knowledge from research to seed industry.