Hu Sheep Molecular Markers for Body Weight Trait Resolution
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing genome-wide association studies (GWAS) for livestock traits, such as body weight in Hu sheep, suffer from low resolution due to the large genomic coverage of quantitative trait loci (QTL), limiting effective identification of candidate genes for genetic improvement and breeding decisions.
Innovation Solution
Identification of molecular markers MAP3K1, ABCB1, MEF2C, ANKRD55, and TRNAW-CCA-87 through GWAS and QTL analysis, which are used as candidate genes for body weight traits in Hu sheep, enabling the formation of core breeding groups and new strains, and application in a 50K chip for Hu sheep breeding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If QTL analysis is used to identify genetic markers for body weight traits, then the method can identify genetic loci associated with quantitative traits, but the genomic coverage is large resulting in low resolution
Solution Approach 1:
The patent segments the genomic analysis by identifying specific QTL regions associated with body weight traits and then performing GWAS within these segmented regions. This divides the large genomic coverage into smaller, more manageable segments, thereby improving resolution while maintaining comprehensive coverage of relevant genetic loci.
Solution Approach 2:
The patent applies local quality by focusing GWAS analysis on specific QTL regions identified from prior analysis. Instead of uniformly analyzing the entire genome, the method concentrates resources on local regions known to be associated with body weight traits, thereby achieving high resolution in these critical areas.
2Measurement precision
If GWAS is performed at genome-wide level to identify high-density genetic markers, then candidate genes can be identified, but the analysis complexity increases
Solution Approach 1:
The patent performs preliminary QTL analysis to identify candidate regions before conducting the full GWAS. This preliminary action filters and prioritizes the genomic regions that require intensive GWAS analysis, thereby reducing the overall analysis complexity while still achieving high-density marker identification in relevant areas.
Solution Approach 2:
The patent extracts and focuses GWAS analysis on specific QTL regions that are most likely to contain candidate genes for body weight traits. By taking out only the relevant portions for detailed analysis rather than analyzing the entire genome uniformly, the method achieves high marker density while managing analysis complexity.
3Reliability
If multiple molecular markers are identified for body weight traits, then breeding accuracy can be improved, but the application complexity increases
Solution Approach 1:
The patent identifies multiple molecular markers (MAP3K1, ABCB1, MEF2C, ANKRD55, TRNAW-CCA-87) that can be applied across different breeding scenarios and trait analyses. These markers serve multiple functions: they can be used for genetic evaluation, breeding program design, and verification of genetic improvements, thereby increasing reliability without proportionally increasing application complexity.
Solution Approach 2:
The patent creates a reusable set of molecular markers that can be copied and applied across different breeding programs and research projects. Once identified and validated, these markers serve as templates for future analyses, reducing the complexity of applying them in new contexts while maintaining high breeding accuracy.
Data Source
AI summary
A molecular marker related to body weight traits of Hu sheep and an application are provided. The whole genome sequencing of Hu sheep is carried out in the invention, the combination of QTL and GWAS is adopted, the candidate genes related to the weight traits are analyzed and the three molecular markers of MAP3K1, ABCB1, and MEF2C are selected as candidate genes for the weight traits of Hu sheep, and the two molecular markers of ANKRD55 and TRNAW-CCA-87 can be used as potential candidate genes for the weight traits of Hu sheep, these candidate genes can be used as molecular markers for application, the guidance of Hu sheep breeding will help to understand the genetic mechanism of weight traits of Hu sheep and further guide Hu sheep breeding.