Soybean Line 01098266 for Precise Trait Stacking and Yield
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Solution Overview
Problem
Existing soybean varieties lack improved combinations of traits such as higher seed yield, disease and insect resistance, drought and heat tolerance, better agronomic quality, and enhanced compositional traits, which are essential for maximizing grain production and meeting food demands.
Innovation Solution
Development of the novel soybean variety 01098266, which incorporates genetic modifications and locus conversions for herbicide resistance, disease resistance, and improved nutritional quality, achieved through methods like genome editing using engineered nucleases, and traditional breeding techniques like backcrossing and hybridization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional breeding techniques are used to develop soybean varieties, then genetic diversity is maintained, but the speed of improvement and precision of trait introduction is limited
Solution Approach 1:
The patent replaces traditional mechanical breeding methods (crossing, selection, and recombination) with genome editing technology. Engineered nucleases precisely target and modify specific DNA sequences to introduce desired traits directly, eliminating the need for generations of crossing and selection. This substitution enables simultaneous achievement of high breeding speed and precise trait introduction.
Solution Approach 2:
The patent changes the fundamental parameter of genetic modification from random/indirect (traditional breeding) to precise/direct (genome editing). By using engineered nucleases with specific guide sequences, the technology achieves exact localization of genetic changes at predetermined genomic positions, thereby improving both the speed and precision of trait introduction.
2Adaptability or versatility
If multiple traits are combined in a single variety to meet program goals, then agronomic performance is improved, but the complexity of breeding programs increases
Solution Approach 1:
The patent merges multiple trait introduction steps into a single genome editing operation. By designing engineered nucleases with different guide sequences that target multiple loci simultaneously, the technology can introduce several traits (herbicide resistance, disease resistance, nutritional quality) in one process, thereby reducing breeding program complexity while maintaining trait combination capability.
Solution Approach 2:
The patent creates a universal genome editing platform that can introduce diverse traits through the same basic mechanism. The engineered nuclease system serves multiple functions: it can target different genomic locations, introduce various types of modifications (knockout, knockin, point mutation), and achieve multiple agronomic traits using a single technological approach, thereby simplifying breeding program design.
3Manufacturing precision
If genome editing is used to introduce specific traits, then precision of modification is improved, but regulatory and public acceptance challenges increase
Solution Approach 1:
The patent applies local quality by making precise, localized genetic changes at specific genomic positions rather than random or whole-genome modifications. The engineered nucleases target exact DNA sequences to introduce only the necessary minimal changes, creating locally optimized modifications that maintain overall genomic integrity. This approach facilitates regulatory acceptance by demonstrating controlled, precise changes rather than broad genetic alterations.
Data Source
AI summary
The invention relates to the soybean variety designated 01098266. Provided by the invention are the seeds, plants and derivatives of the soybean variety 01098266. Also provided by the invention are tissue cultures of the soybean variety 01098266 and the plants regenerated therefrom. Still further provided by the invention are methods for producing soybean plants by crossing the soybean variety 01098266 with itself or another soybean variety and plants produced by such methods.