Identification of bioactive molecules in the control of flowering time

Resumen

Flowering time is one of the most important traits affecting crop productivity and yield. The identification of natural or synthetic bioactive compounds for the control of flowering induction is of great interest. The identification of compounds with the potential to regulate flowering could allow us to fine-tune flowering responses in crops and adapt them to the changing environmental conditions. To identify these compounds, we have taken two different approaches: a chemical genetic screening and the characterization of the metabolome of floral transition. First, we performed a chemical genetic screening to identify small molecules that have the potential to control the expression of the florigen FLOWERING LOCUS T (FT) or FT activity or signaling in Arabidopsis. We used transgenic plants expressing the ß-GLUCURONIDASE gene (GUS) under the control of the FT promoter to test a preselected library of 360 molecules. Positive hits were retested by a secondary screening based on the expression of the LUCIFERASE (LUC) reporter gene under the control of the FT promoter. Using this approach, we have identified one molecule that successfully induces flowering under in vitro culture conditions. Secondly, we have characterized the function of pipecolic acid (Pip), a molecule previously identified as a candidate to regulate flowering time. We have confirmed that mutations in enzymes responsible for Pip biosynthesis display an altered flowering response. A new role for Pip in rosette growth is also revealed in this work. Finally, we used an inducible system based on the promoter of CONSTANS (CO) driving the expression of CO fused to the rat glucocorticoid receptor (CO::GR). Such a construction provides a tool to induce flowering with a single dexamethasone treatment. We then performed a comprehensive metabolomic study of the shoot apex and leaf samples that included targeted metabolomics, lipidomics, hormone quantification, and transcriptomics. Integration of these omic datasets has allowed us to point out metabolic pathways that are altered during floral induction. Characterization of loss-of-function mutants coding key enzymes of those metabolic pathways revealed that some of these mutants showed a flowering time phenotype. Among them, we focused on the characterization of the contribution of the raffinose metabolism, a storage oligosaccharide, to the determination of flowering time. Mutants affecting RAFFINOSE SYNTHASE 5 (RS5) exhibit an early flowering phenotype and reduced fertility. We propose a model in which the balance between simple and storage carbohydrates in the apex changes during floral induction. This change could be modulated by ABA and flowering-related genes, and it triggers changes in trehalose metabolism, promoting flowering by an early FT upregulation.