Low-Density Liquid-Phase SNP Chip for Trait-Focused Cotton Genotyping
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Solution Overview
Problem
Existing cotton SNP chips, such as Illumina 80K, have high density but are not customizable and lack correlation with traits, leading to high typing costs and unpredictable phenotypic variation, while traditional breeding methods are lengthy and rely on breeder experience, potentially losing valuable traits.
Innovation Solution
Development of a low-density liquid-phase SNP chip for Gossypium hirsutum L. with 894 SNP loci and 14 major transgenes, designed for targeted capture sequencing using GenoBaits technology, to enhance genotyping accuracy and reduce costs by focusing on traits like fiber quality, yield, and disease resistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-density SNP chips (e.g., Illumina 80K) are used for genotyping, then comprehensive genome coverage is achieved, but typing cost increases and customization is lost
Solution Approach 1:
The patent extracts and focuses only on the most relevant SNP loci (894 loci significantly correlated with target traits) from the entire cotton genome, rather than using all 80K loci. This extraction principle reduces typing cost while maintaining measurement precision for breeding-relevant traits by eliminating redundant markers that do not contribute to trait selection
Solution Approach 2:
The patent applies local quality by creating a non-uniform distribution of SNP markers across the genome, with higher density at loci significantly correlated with target traits (fiber quality, yield, disease resistance) and lower density in non-critical regions. This localized enhancement of marker quality at key positions achieves comprehensive coverage of important traits without the cost of uniform high-density coverage across the entire genome
2Area of stationary object
If evenly distributed loci are used in chip design, then genome-wide coverage is achieved, but purposiveness of selection decreases and typing cost increases
Solution Approach 1:
The patent implements local quality by strategically concentrating SNP markers at loci with high correlation coefficients (r > 0.3) to target traits, rather than distributing markers uniformly. This creates regions of high marker density at economically important loci (e.g., fiber quality genes, yield-related QTLs) while reducing density elsewhere, thereby enhancing adaptability for trait-specific selection without sacrificing overall genome coverage
Solution Approach 2:
The patent segments the genome into functional regions based on trait correlation strength, creating distinct marker sets for different trait categories (fiber quality, yield, disease resistance). This segmentation allows customized selection of marker subsets depending on breeding objectives, improving purposiveness while maintaining comprehensive coverage through the integrated set of 894 loci
3Adaptability or versatility
If traditional breeding methods are used, then breeder experience can guide selection, but breeding cycle lengthens and phenotypic variation becomes unpredictable
Solution Approach 1:
The patent applies preliminary action by pre-identifying and validating 894 SNP loci that are significantly correlated with target traits through genome-wide association studies and QTL mapping before the breeding process begins. These pre-characterized markers serve as reliable proxies for target traits, allowing breeders to perform early-generation selection based on molecular markers rather than waiting for phenotypic expression, thereby shortening the breeding cycle while incorporating scientific knowledge alongside breeder experience
Data Source
AI summary
A low-density liquid-phase chip for Gossypium hirsutum L. based on targeted capture sequencing and use thereof provided. The low-density chip includes 908 SNP loci, where among the 908 SNP loci, 329 loci are significantly related to important agronomic traits, such as fiber quality, yield, and disease resistance of Gossypium hirsutum L., 14 loci are common plant transgenic detection loci, and 565 loci are other loci. This chip is adapted for use of detection of transgenic components in Gossypium hirsutum L. varieties, resource evaluation and lineage identification, seed purity identification, and genetic improvement of major agronomic traits of Gossypium hirsutum L. varieties.