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

Introduction

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.

Genetic Variation Challenges

For example, in tomato and rice, approximately 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.

Multi-Crop Technology Development

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.

Unique Approach and Applications

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:

1. Response to drought
2. Pathogen resistance
3. Fruit size
4. 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.

Impact and Future Prospects

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.