From wild relatives to super tomatoes: Unearthing new genetic potential

Published in Horticulture Research on June 3, 2024, the study highlights how this population aids in identifying genes associated with key traits. By intercrossing eight founders with diverse genetic backgrounds, the team created 354 genotyped lines, bridging the gap between wild and cultivated tomatoes and providing breeders with a powerful tool for crop improvement.

The tomato MAGIC (ToMAGIC) population comprises 354 lines derived from eight diverse founder lines of wild and weedy tomatoes, revealing 6,488 high-quality SNPs. Phenotyping identified associations with traits such as fruit size, leaf morphology, and pigmentation.

Notably, the WUSCHEL gene was linked to locule number, a crucial trait in domestication, while the FW2.2 gene was associated with fruit weight. Dominant wild alleles offer potential for enhancing cultivated varieties. A novel mutation in the SlMYB-ATV gene was also discovered, influencing anthocyanin production, particularly in cold-adapted founders. These findings underscore ToMAGIC’s role in uncovering genetic variations crucial for developing resilient, productive tomatoes.

“The ToMAGIC population marks a major advancement in tomato genetics,” stated Dr. Santiago Vilanova, the study’s senior researcher from the Universitat Politècnica de València. “By incorporating wild and weedy relatives, we’ve created a resource that not only taps into uncharted genetic diversity but also enhances our ability to discover and validate genes. This breakthrough enables us to overcome genetic limitations and develop superior tomato cultivars with enhanced traits.”

The ToMAGIC population holds significant potential for tomato breeding, offering a pathway to integrate wild genetic diversity into breeding programs. It helps identify novel genes governing key traits, enabling the creation of resilient, high-yielding tomato varieties. Beyond research, ToMAGIC can directly impact the selection of elite lines for commercial breeding, enhancing crop performance across varying environments and meeting the rising demand for better agricultural productivity.

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