Stevia Cultivar Breeding Using SNP Markers for Predictable Selection
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Solution Overview
Problem
The development of stable, high-yielding stevia cultivars with predictable success in breeding is hindered by the unpredictability of genetic combinations and the lack of effective methods for trait transfer and identification.
Innovation Solution
The development of the stevia cultivar '18136109' and associated breeding methods, including crossing, genetic transformation, and the use of single nucleotide polymorphisms (SNPs) for trait identification, along with traditional breeding techniques, to produce stable and high-yielding stevia plants with desired traits such as high rebaudioside content and disease resistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional breeding methods are used to develop stevia cultivars, then multiple crosses must be made each year to achieve desired traits, but the success is unpredictable and time-consuming
Solution Approach 1:
The patent applies marker-assisted selection by changing the parameter of trait detection from phenotypic observation to genotypic marker detection. SNP markers enable breeders to identify plants with desired genetic traits at the molecular level, making selection predictable and efficient without waiting for phenotypic expression, thus resolving the contradiction between breeding reliability and time loss
Solution Approach 2:
The patent replaces the mechanical/phenotypic selection system with a molecular/genotypic selection system. Instead of observing physical traits that require growing plants to maturity, the invention uses DNA marker detection to identify desired traits directly at the genetic level, substituting a faster, more reliable molecular detection mechanism that eliminates the time-consuming and unpredictable nature of conventional breeding
2Adaptability or versatility
If multiple crosses are performed to achieve desired traits, then the variety of genetic combinations increases, but the complexity of selection and evaluation increases
Solution Approach 1:
The patent introduces SNP markers as intermediary tools that mediate between genetic diversity and selection efficiency. These molecular markers serve as proxies for complex genetic traits, allowing breeders to track and select for multiple desired traits simultaneously through simple marker detection rather than complex phenotypic evaluation, thus managing genetic complexity while maintaining versatility
Solution Approach 2:
The patent changes the parameter of trait assessment from complex phenotypic measurement to simple genotypic marker detection. By using SNP markers, the breeding program can evaluate multiple genetic combinations efficiently through molecular assays, reducing the complexity of selection and evaluation while maintaining the ability to explore diverse genetic combinations
3Measurement precision
If conventional phenotypic selection is used, then selection accuracy depends on environmental conditions, but the cost and time of multi-environment testing increases
Solution Approach 1:
The patent replaces phenotypic measurement systems with genotypic marker detection systems. SNP markers provide direct measurement of genetic traits independent of environmental conditions, eliminating the need for expensive and resource-intensive multi-environment testing while maintaining or improving selection accuracy through molecular-level trait detection
Data Source
AI summary
A stevia cultivar containing a high Rebaudioside M content, designated ‘18136109’, is disclosed. The invention relates to the plant parts of stevia cultivar ‘18136109’, to the plants of stevia ‘18136109’ and to methods for producing a stevia plant produced by crossing the cultivar ‘18136109’ with itself or another stevia variety, including methods using marker assisted breeding. The invention further relates to hybrid stevia seeds and plants produced by crossing the cultivar ‘18136109’ with another stevia cultivar. Twelve highly polymorphic SNPs loci and the corresponding genomic sequences used to identify plant variety ‘18136109’-derived plant materials are also disclosed.