Data-driven mutation frequency optimization for rice using deep variant scanning
Enhance rice mutagenesis protocols by integrating Deep Variant Scanning (DVS) to increase mutation frequency while maintaining plant viability. The approach combines sequence-based mutation load estimates with phenotypic measures such as germination and plant vigor to refine mutagen treatment conditions. Protocols are adaptable across rice genetic backgrounds and support rapid, data-driven optimization for faster variant access.
Overview
The proposed solution enhances rice mutagenesis protocols using the Deep Variant Scanning (DVS) platform. By combining data-driven insights with chemical mutagenesis, this solution aims to increase mutation frequency in rice without compromising plant viability. This method refines treatment conditions based on phenotypic measures such as germination and plant vigor, allowing for higher mutation density while maintaining performance. The approach is adaptable to different rice genetic backgrounds.
Technical specifications
- Deep Variant Scanning (DVS) platform: Provides rapid, sequence-based estimates of mutation load, surpassing conventional LD50 measures.
- Phenotypic evaluation: Utilizes germination, seedling establishment, and plant vigor metrics to optimize treatment conditions.
- Treatment protocols: Optimizes mutagen dose, exposure time, and methods to balance mutation density with plant performance.
- Adaptability: Tailors protocols to different rice varieties, ensuring broad applicability across genetic backgrounds.
- Year-round greenhouse capacity: Enables continuous optimization and testing.
Technology readiness level
The technology is at TRL 4, indicating that it has been validated in a laboratory setting. The next steps include further optimization of mutation induction protocols and testing across a wider range of rice varieties to ensure reproducibility and effectiveness.
About Vineland Research and Innovation Centre
Vineland Research and Innovation Centre is an independent, not-for-profit horticultural research organization in Vineland Station, Ontario, with a team of 100+ people focused on translating science into market-ready solutions. Its integrated campus combines pre-commercial greenhouses, advanced pathology and soil/substrate labs, a prototyping hangar for robotics and sensors, dedicated sensory and food technology suites, and field-scale research farms. A research-park setting with co-located government, academic and industry tenants enables on-site collaboration, testing and demonstrations. Vineland is funded in part through the Sustainable Canadian Agricultural Partnership, with support from Agriculture and Agri-Food Canada and the Government of Ontario. Commercialization is supported via defined licensing pathways and an active intellectual property portfolio.
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