Multi-Crop | Next-generation multi-targeted CRISPR genetic toolbox uncovers hidden breeding traits

Summary
The need to accelerate crop breeding programs has never been greater, as the world population is exponentially increasing, the climate is changing, and resources are limited. Breeding relies on genetic variation. However, it is impossible to alter many phenotypes by introducing genetic variation in a single gene due to large gene families with high functional redundancy. For example, in tomato and rice, ~80% of coding genes belong to multi-gene families. Therefore, in many cases, mutating multiple gene family members is required to uncover “hidden” traits that are important for plant resilience and food security. Currently, there is no approach or technology that can dig into the hidden genetic redundancy at a genome-scale level (unbiased forward genetics) and reveal masked agricultural traits.
To address these challenges, we developed the Multi-Crop technology - the first genome-scale multi-targeted CRISPR libraries in crops. We have constructed, validated, and patented the approach in Arabidopsis, tomato, and rice, demonstrating that the Multi-Crop technology can uncover hidden genetic traits and is the future of plant breeding programs.
Not only is this the first demonstration of a large-scale, multi-targeted CRISPR technology in plants, but the unique approach also overcomes functional gene redundancy under any given conditions, such as the response to drought, pathogen, fruit size, and more. Multi-Crop can be applied to most crops and all breeding traits. Therefore, we expect the new toolbox we develop here to transform how scientists and breeders perform genetics.
We believe that Multi-Crop is a game-changing technology. Unlike any other technology available today, it enables uncovering hidden phenotypic variations. Moreover, its high throughput nature of maximizing genetic diversity will enable a tailored fit for specific farmers, markets and growth conditions, enhancing productivity and farmer profitability.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/101113412
Start date: 01-08-2023
End date: 31-01-2025
Total budget - Public funding: - 150 000,00 Euro
Cordis data

Original description

The need to accelerate crop breeding programs has never been greater, as the world population is exponentially increasing, the climate is changing, and resources are limited. Breeding relies on genetic variation. However, it is impossible to alter many phenotypes by introducing genetic variation in a single gene due to large gene families with high functional redundancy. For example, in tomato and rice, ~80% of coding genes belong to multi-gene families. Therefore, in many cases, mutating multiple gene family members is required to uncover “hidden” traits that are important for plant resilience and food security. Currently, there is no approach or technology that can dig into the hidden genetic redundancy at a genome-scale level (unbiased forward genetics) and reveal masked agricultural traits.
To address these challenges, we developed the Multi-Crop technology - the first genome-scale multi-targeted CRISPR libraries in crops. We have constructed, validated, and patented the approach in Arabidopsis, tomato, and rice, demonstrating that the Multi-Crop technology can uncover hidden genetic traits and is the future of plant breeding programs.
Not only is this the first demonstration of a large-scale, multi-targeted CRISPR technology in plants, but the unique approach also overcomes functional gene redundancy under any given conditions, such as the response to drought, pathogen, fruit size, and more. Multi-Crop can be applied to most crops and all breeding traits. Therefore, we expect the new toolbox we develop here to transform how scientists and breeders perform genetics.
We believe that Multi-Crop is a game-changing technology. Unlike any other technology available today, it enables uncovering hidden phenotypic variations. Moreover, its high throughput nature of maximizing genetic diversity will enable a tailored fit for specific farmers, markets and growth conditions, enhancing productivity and farmer profitability.

Status

SIGNED

Call topic

ERC-2022-POC2

Update Date

12-03-2024
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Horizon Europe
HORIZON.1 Excellent Science
HORIZON.1.1 European Research Council (ERC)
HORIZON.1.1.0 Cross-cutting call topics
ERC-2022-POC2 ERC PROOF OF CONCEPT GRANTS2
HORIZON.1.1.1 Frontier science
ERC-2022-POC2 ERC PROOF OF CONCEPT GRANTS2