Applying an NMR-based metabolomic workflow to unveil strawberry molecular mechanisms in vernalization

Nuclear Magnetic Resonance (NMR) is a mature technique in metabolomics due to its non-invasive, highly reproducible, and inherently quantitative nature. However, difficulties in data analysis hinder its standardization in research. Herein, we propose an NMR-based metabolomic workflow that comprises data preprocessing, metabolite annotation, and data analysis. In this work, we apply such workflow to study vernalization, which is a critical process for crop development with largely unknown molecular mechanisms. Our findings suggest that sugar mobility, accessibility, and increased photosynthetic activity support plant viability post-vernalization. In other words, these processes ensure successful transplanting of the plant, highlighting the importance of sufficient cold exposure for flowering, fruiting, and ripening. This study demonstrates that the proposed workflow is suitable to capture metabolic changes in plant development. Such methodology underscores the potential of NMR-based metabolomics as a powerful tool for crop monitoring, aiding in improved agricultural practices and yield optimization.