Multidimensional Gridding for Stable Plant Mutation Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for selecting specific mutations in plants are limited, particularly in elite germplasm, and lack the ability to efficiently identify stable mutations that can be inherited across generations, due to the challenge of somatic chimerism and the scarcity of mutagenized populations.
Innovation Solution
A multidimensional gridding strategy is employed to select heritable mutations by pooling plant parts such as true leaves or flowers, using high-throughput sequencing to identify mutations consistently present across all sections, thereby isolating and amplifying DNA from specific regions of interest, and deconvoluting sequences to identify plants carrying desired mutations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional crossing and selection methodologies are used with non-adapted germplasm, then genetic variation is created, but the optimal genetic make up of elite lines is disintegrated
Solution Approach 1:
The patent segments the plant population into elite germplasm lines and non-adapted germplasm, applying different breeding strategies to each. Elite lines undergo mutation induction to create targeted genetic variation, while non-adapted germplasm serves as a separate resource pool, preventing the disintegration of optimal genetic compositions in elite lines.
Solution Approach 2:
The patent changes the genetic parameter approach by using mutation induction techniques (chemical, physical, or biological agents) to create specific mutations in elite lines, rather than relying on conventional crossing. This allows controlled generation of genetic variation while preserving the overall optimal genetic make up of elite germplasm.
2Adaptability or versatility
If mutation induction techniques are used to create genetic variation, then novel variation is generated, but the complexity of identifying stable heritable mutations increases due to somatic chimerism
Solution Approach 1:
The patent segments the plant population into mutagenized and non-mutagenized individuals, and further divides the mutagenized population into different generations (M1, M2, M3). This segmentation allows systematic identification of stable heritable mutations by tracking mutation inheritance across generations, reducing the complexity of identifying stable mutations despite somatic chimerism.
Solution Approach 2:
The patent implements feedback mechanisms through phenotypic screening and molecular marker analysis to identify and select stable heritable mutations. By continuously monitoring and selecting for consistent mutation inheritance across generations, the complexity of identifying stable mutations is reduced through systematic feedback loops.
3Measurement precision
If large numbers of mutants are screened to find desired mutations, then selection accuracy improves, but the time and resources required for mutation selection increase
Solution Approach 1:
The patent applies preliminary action through pre-treatment of plants with mutagenic agents before breeding, and through preliminary phenotypic screening and molecular marker analysis to identify potential mutants. This allows efficient selection of desired mutations without requiring extensive screening of large numbers of mutants, reducing both time and resources required.
Solution Approach 2:
The patent replaces traditional mechanical screening methods with molecular marker analysis and phenotypic screening techniques. This substitution allows rapid and accurate identification of stable heritable mutations without requiring extensive manual screening of large populations, significantly reducing selection time while maintaining accuracy.
4Difficulty of detecting and measuring
If insertional mutagenesis is used to inactivate genes, then gene function can be identified, but gene function is heavily perturbed presenting full gene knockout
Solution Approach 1:
The patent changes the mutation type from insertional mutagenesis (full gene knockout) to point mutations and small insertions/deletions. This parameter change allows identification of gene function through targeted mutations while preserving overall gene function integrity, avoiding the heavy perturbation caused by full gene knockouts.
Solution Approach 2:
The patent applies local quality by creating specific point mutations at particular locations within genes rather than widespread insertional mutagenesis. This allows targeted disruption of specific gene functions for identification purposes while maintaining the integrity of other gene regions, thereby reducing overall gene function perturbation.
Data Source
AI summary
The present invention relates to a method for the provision of mutagenised populations by the introduction of mutations by chemically and or physically mutagens in a selected region of the genome of a plant and the subsequent selection of inheritable mutations by analysis of at least one section of a mutagenised primary M1 plant for the presence of a mutation in the region of interest using high throughput sequencing.