Soybean Cultivar 1849290 Breeding via CRISPR-Cas9
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Soybean breeders face challenges in developing stable, high-yielding cultivars with desirable traits such as disease resistance, drought tolerance, and improved agronomic quality, as existing methods are time-consuming and unpredictable, requiring extensive research and resources to generate superior genetic combinations.
Innovation Solution
The development of soybean cultivar 1849290, which can be used in crossing and mutagenesis or transformation methods to produce plants with enhanced traits like herbicide resistance, disease resistance, and improved nutritional quality, using techniques such as CRISPR-Cas9 gene editing, backcrossing, and tissue culture to create regenerable cells and edited genomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional breeding methods are used to develop soybean cultivars with desirable traits, then genetic combinations can be generated, but the process is time-consuming and unpredictable
Solution Approach 1:
The patent replaces traditional mechanical breeding methods (cross-pollination, selection, and generation advancement) with modern biotechnological tools including CRISPR-Cas9 gene editing, TALEN, zinc finger nucleases, and molecular marker-assisted selection. These tools enable precise, predictable modification of specific genes responsible for desirable traits without requiring multiple generations of crossing and selection, thereby dramatically reducing breeding cycle time and improving predictability of trait inheritance.
Solution Approach 2:
The patent utilizes molecular markers and genomic selection to change the parameter of selection precision from phenotypic observation to genotypic detection. By using DNA-based markers linked to desirable traits, breeders can identify and select plants with desired genetic combinations in the early stages of development, rather than waiting for trait expression in later generations, thus accelerating the breeding process and improving predictability.
2Reliability
If extensive research and resources are invested in traditional breeding programs, then superior genetic combinations can be achieved, but the complexity and resource requirements increase
Solution Approach 1:
The patent replaces complex, multi-generational breeding programs with targeted gene editing approaches. Instead of managing complex crossing schemes, population maintenance, and multi-trait selection across numerous generations, the invention uses CRISPR-Cas9 and other gene editing tools to directly modify specific genes responsible for desirable traits, thereby achieving superior genetic combinations with reduced program complexity and resource investment.
Solution Approach 2:
The patent segments the breeding objective into specific, targetable genes or genomic regions rather than attempting to improve multiple traits simultaneously through traditional breeding. By identifying and editing individual genes responsible for specific traits (e.g., disease resistance, yield components), the approach simplifies the overall breeding program while maintaining the quality of genetic combinations.
3Adaptability or versatility
If multiple breeding steps are performed to combine desirable traits, then improved cultivars can be developed, but the number of operations and resources required increases
Solution Approach 1:
The patent replaces multiple sequential breeding operations (crossing, selection, advancement, recombination) with parallel gene editing operations. Multiple desirable traits can be introduced or modified simultaneously through multiplex CRISPR-Cas9 systems or by performing separate editing events in the same genetic background, thereby achieving complex trait combinations without the time and resource costs of multiple breeding cycles.
Solution Approach 2:
The patent performs preliminary identification and validation of target genes and editing strategies before implementation in the breeding program. By using molecular markers to pre-identify plants with favorable genetic backgrounds and using in silico modeling to design efficient editing strategies, the approach minimizes the number of operational steps required to combine desirable traits while maximizing breeding efficiency.
Data Source
AI summary
A soybean cultivar designated 1849290 is disclosed. Embodiments include the seeds of soybean 1849290, the plants of soybean 1849290, to plant parts of soybean 1849290, and methods for producing a soybean plant produced by crossing soybean 1849290 with itself or with another soybean variety. Embodiments include methods for producing a soybean plant containing in its genetic material one or more genes or transgenes and the transgenic soybean plants and plant parts produced by those methods. Embodiments also relate to soybean cultivars, breeding cultivars, plant parts, and cells derived from soybean 1849290, methods for producing other soybean cultivars, lines or plant parts derived from soybean 1849290, and the soybean plants, varieties, and their parts derived from use of those methods. Embodiments further include hybrid soybean seeds, plants, and plant parts produced by crossing 1849290 with another soybean cultivar.