Mutant Plant Preparation Reducing Coding Mutations
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Solution Overview
Problem
Current methods for preparing mutagenized breeding populations result in high numbers of coding mutations per individual, leading to phenotypic disadvantages and reduced plant fitness, making it challenging to identify plants with desired traits.
Innovation Solution
The method involves reducing the number of coding mutations per individual by using a low rate of mutagenesis, achieved through optimal mutagenesis conditions determined by a 'kill-curve' examination, which results in fewer non-synonymous mutations and higher plant viability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If high concentration mutagenesis treatment is used to increase genetic variation, then mutation frequency is improved, but plant fitness and viability deteriorate due to accumulation of detrimental mutations
Solution Approach 1:
The mutagenesis process is divided into multiple sequential treatment stages rather than a single high-dose treatment. Plants receive incremental mutagenesis doses across generations (M0, M1, M2, M3), allowing genetic variation to accumulate gradually while maintaining plant viability at each stage. This segmented approach prevents overwhelming the plant's DNA repair mechanisms and reduces the accumulation of lethal mutations.
Solution Approach 2:
The patent implements preliminary selection and screening steps before advancing to the next mutagenesis generation. Plants are screened for desired traits and overall health status before being subjected to further mutagenesis treatment. This preliminary action ensures that only viable, healthy plants with beneficial mutations progress to subsequent treatment rounds, preventing the propagation of plants with excessive detrimental mutations.
2Adaptability or versatility
If multiple generations of mutagenesis are applied to increase genetic diversity, then trait identification capability is improved, but the number of background mutations increases making trait identification more difficult
Solution Approach 1:
The patent implements continuous feedback loops where each generation of mutagenized plants is phenotypically screened and genotypically characterized before proceeding to the next generation. Desired traits are identified and selected at each stage, providing feedback that guides subsequent mutagenesis treatment. This feedback mechanism ensures that genetic diversity increases while maintaining a manageable level of background mutations by actively selecting against plants with excessive non-beneficial mutations.
Solution Approach 2:
The patent applies targeted mutagenesis strategies focusing on specific genomic regions or genes of interest rather than uniform whole-genome mutagenesis. By concentrating mutagenesis effort on locally relevant genetic targets, the method increases genetic diversity in functional regions while minimizing unnecessary background mutations in non-critical genomic areas, thereby improving the signal-to-noise ratio for trait identification.
Data Source
AI summary
The present invention provides methods of preparing plants, with specific predetermined mutation(s) in one or more NOI(s). The specific predetermined mutation(s) preferably may result in the identification of plants having desired traits.


