Related Experiment Videos
Mapping of porcine genetic markers generated by representational difference analysis
C R Farber1, N E Raney, D L Kuhlers
1Department of Animal Science, Michigan State University, East Lansing, Michigan 48824, USA.
Animal Biotechnology
|July 31, 2003
Summary
Representational difference analysis identified genetic markers associated with increased loin muscle area in pigs. These markers enhance pig genome mapping resolution and can refine quantitative trait locus positions for improved breeding.
Area of Science:
- Animal Genetics
- Genomics
- Quantitative Trait Loci (QTL) Analysis
Background:
- Selective breeding in Landrace pigs for increased loin muscle area (LMA) results in phenotypic divergence for carcass traits.
- Genetic divergence exists at the skeletal muscle ryanodine receptor 1 locus between selected and control populations.
Purpose of the Study:
- To identify genetic differences between Landrace pig populations selected for high LMA and a control population.
- To develop and map novel sequence-tagged sites (STS) for enhanced pig genome resolution.
Main Methods:
- Representational difference analysis (RDA) was employed using genomic DNA from selected and control Landrace pigs.
- Two RDA experiments (BamHI and BglII) were conducted, followed by cloning, sequencing, and STS development for difference products.
- STS markers were mapped using the INRA-Minnesota porcine Radiation Hybrid panel and integrated into the PiGMaP genetic linkage map.
Main Results:
- Sixteen STS markers were developed from RDA difference products.
- Nine STS markers were successfully mapped to the PiGMaP genetic linkage map, localizing to 11 different porcine chromosomes.
- Significant marker localization occurred on chromosome 11 (three markers) and chromosome 14 (four markers).
Conclusions:
- The developed RDA markers significantly increase the resolution of existing pig genome maps.
- These novel markers, particularly those within QTL regions, can be utilized for fine-mapping and refining the positions of important quantitative trait loci.
- This research contributes to advancing genetic selection strategies in swine breeding programs.