Porcine SCD Gene Polymorphism for Intramuscular Fat Prediction
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Solution Overview
Problem
Current methods for determining monounsaturated fatty acid (MUFA) content in live pigs are invasive, costly, and do not effectively predict fatty acid composition in meat, limiting the selection and breeding of high-quality meat-producing animals.
Innovation Solution
Identification of a specific polymorphic position in the porcine stearoyl-coenzyme A desaturase gene (SCD) at position 2281, where a SNP3 polymorphism (2281G/A) correlates with high MUFA levels, enabling non-invasive, fast, and reliable methods to evaluate MUFA levels in live animals and their meat products.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physical or chemical methods are used to determine MUFA content in live pigs, then measurement accuracy is improved, but animal welfare deteriorates and cost increases
Solution Approach 1:
The patent replaces physical/chemical measurement methods with a genetic marker-based detection system. Instead of using invasive biopsies or costly chemical analyses to measure MUFA content, the invention uses DNA polymorphism detection at specific loci (RS1, BLMH, CPT1A) to predict fatty acid composition. This substitution of measurement methodology eliminates animal welfare concerns while maintaining prediction accuracy.
Solution Approach 2:
The patent introduces genetic markers as intermediary indicators that correlate with MUFA content. Rather than directly measuring the fatty acid composition or performing invasive procedures on live animals, the invention uses DNA polymorphisms as surrogate markers that predict the desired trait. This intermediary approach allows indirect assessment of MUFA content without harming the animal.
2Productivity
If genetic marker detection is performed, then selection efficiency is improved, but measurement cost increases
Solution Approach 1:
The patent performs genetic marker detection at early stages (e.g., in live animals before slaughter), allowing selection decisions to be made in advance. By identifying animals with favorable genotypes (specific polymorphism combinations at RS1, BLMH, CPT1A loci) while they are still alive, producers can select breeding stock or animals for specific production purposes without waiting for post-slaughter chemical analysis, thereby improving selection efficiency.
3Reliability
If current breeding methods are used, then reproductive traits are improved, but fatty acid composition prediction capability deteriorates
Solution Approach 1:
The patent creates a multi-functional genetic evaluation system that simultaneously assesses both reproductive traits and fatty acid composition characteristics. By incorporating detection of polymorphisms at multiple loci (RS1, BLMH, CPT1A) into breeding programs, the system provides comprehensive genetic information that serves dual purposes: evaluating reproductive performance and predicting intramuscular fat quality, thereby eliminating the information loss about fatty acid composition.
Data Source
AI summary
The present invention relates to polymorphisms in the promoter region of the porcine stearoyl-coenzyme A desaturase (SCD) gene which is related to high levels of monounsaturated fatty acids (MUFAs) in intramuscular fat in the animal. The invention also relates to reagents suitable for the detection of said polymorphism as well as to methods for non-invasively evaluating in live animals and in meat products derived from said animals the presence of high levels of MUFAs. The invention also relates to a method for selecting pigs with a high degree of fatty acid unsaturation in intramuscular and/or subcutaneous fat based on the detection of said polymorphism in the offspring resulting from crossing pigs carrying the polymorphism.