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In this talk, I will present how integrative omics approaches (combining genetics, genomics, transcriptomics, and metabolomics) enable a deeper understanding of plant function and regulation. These tools allow us to identify key genes and pathways controlling traits such as stress responses and specialised metabolism, moving from descriptive to predictive plant biology.
In my work, I have applied these approaches to crops to link gene expression with functional outcomes, including metabolic traits and responses to environmental conditions. By integrating omics data with functional validation, we can uncover regulatory mechanisms and translate these insights into strategies for crop improvement.
I will also explore how these advances can be extended to space agriculture. The ability to precisely understand and control plant responses is essential for growth in extreme environments, and the knowledge gained from terrestrial systems provides a foundation for developing resilient, efficient plant systems beyond Earth.
