UCN3 Gene Polymorphisms for Beef Marbling Prediction
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Solution Overview
Problem
Current methods fail to effectively identify genetic markers associated with intramyocellular lipid accumulation, which is a major contributor to insulin resistance and obesity-related conditions, limiting targeted pharmaceutical interventions and management strategies.
Innovation Solution
The identification and utilization of genetic markers, specifically multiple nucleotide polymorphisms (MNPs) and single nucleotide polymorphisms (SNPs) within the bovine urocortin 3 (UCN3) gene, to predict and manage intramuscular fat deposition and subcutaneous fat depth in livestock, enabling improved beef cattle production and obesity management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current methods are used to identify genetic markers, then general population studies can be conducted, but specific genetic markers associated with intramyocellular lipid accumulation cannot be effectively identified
Solution Approach 1:
The patent segments the broad search for genetic markers into specific candidate genes based on biological pathways. Instead of conducting genome-wide association studies, the invention focuses on segmented analysis of genes involved in lipid metabolism, insulin signaling, and mitochondrial function, thereby improving detection precision for markers related to intramyocellular lipid accumulation
Solution Approach 2:
The invention applies local quality by focusing research efforts on specific tissues (skeletal muscle) and specific metabolic processes (lipid accumulation, insulin resistance). Rather than conducting general population studies, the patent targets local genetic variations in muscle tissue that specifically influence intramyocellular triglyceride content and insulin sensitivity
2Productivity
If genetic markers are not identified, then targeted pharmaceutical interventions cannot be developed, but resource allocation for obesity research remains inefficient
Solution Approach 1:
The patent performs preliminary identification of genetic markers and stratification of individuals into risk categories before implementing pharmaceutical interventions. By pre-identifying individuals with genetic predisposition to intramyocellular lipid accumulation and insulin resistance, the system enables targeted prevention and treatment strategies, improving productivity while reducing wasted resources on non-responsive individuals
Solution Approach 2:
The invention enables self-service through genetic testing and risk stratification, allowing individuals to be automatically categorized based on their genetic profile. This self-organizing approach directs research resources and pharmaceutical interventions to the most appropriate candidates without requiring extensive manual screening, thereby improving efficiency and reducing resource loss
Data Source
AI summary
Aspects of the present invention also provide methods based on novel UCN3 nucleotide polymorphisms selected from the group consisting of AAFC03043460.1:g.8272-8281AATAATAAAT(SEQ ID NO: 9)>GGAGC, g.8208C>T, g.8265C>T, g.8287T>C, g.8412A>G, g.8426T>A, c.8786C>T, g.9074T>C, c.12609C>T, c.12621T>C, c.12667T>G and c.12669C>A , which may provide novel markers for marbling and/or subcutaneous fat. Additional aspects provide for novel methods which may comprise marker-assisted selection or marker-assisted management to improve marbling and/or subcutaneous fat depth in cattle.