SOURCE-LINKED INTELLIGENCE
A Natural Variation-informed Systems Genetics Framework for Tomato Multi-Stress Tolerance
treated and untreated genotypes will elucidate priming-induced reprogramming of hormonal networks and uncover stress mitigation mechanisms. The resulting multi-omics datasets will be integrated using machine learning frameworks. Top candidate genes and regulatory elements will undergo functional validation using CRISPR-based prime editing to introduce precise base edits or cis-regulatory motifs. Edited lines will be phenotyped for fruit yield, ion balance, and nutritional content. High-performing lines will be introgressed into elite cultivars through pre-breeding, delivering climate-tolerant germplasm aligned with EU Green Deal goals for sustainable, resource-efficient agriculture. SOLGENSYS exemplifies an end-to-end innovation pipeline, spanning from natural variation to gene discovery, genome editing, and breeding, and provides a scalable blueprint for enhancing crop tolerance under multiple stresses. Tomato, GWAS and TWAS, drought, salinity, stress tolerance, prime editing
Read original source ↗ Open in workspace
- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1372740
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T05:31:32.981Z. This is not the publication date.