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Published on: September 22, 2020
Genetic analysis and linkage mapping in a resource pig population using microsatellite markers
Jinghu Zhang1, Yuanzhu Xiong, Bo Zuo
1Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China.
Summary
This study constructed a pig linkage map using 39 microsatellite markers across five chromosomes in 214 individuals. The resulting map provides valuable genetic information for quantitative trait loci (QTL) mapping in pigs.
Area of Science:
- Animal Genetics
- Genomics
- Molecular Biology
Background:
- Microsatellite markers and linkage map construction are crucial for quantitative trait loci (QTL) mapping in pigs.
- Understanding genetic diversity and relationships is essential for improving pig breeding programs.
Purpose of the Study:
- To construct a high-density linkage map for pigs using microsatellite markers.
- To analyze the genetic characteristics of these markers within a pig resource population.
- To provide a foundation for subsequent QTL mapping studies in pigs.
Main Methods:
- Utilized 39 microsatellite marker loci across Sus scrofa chromosomes (SSC4, SSC6, SSC7, SSC8, SSC13).
- Analyzed a pig resource population comprising 214 individuals (F1 and F2 generations).
- Calculated genetic parameters including allele number, observed heterozygosity (H(0)), and polymorphism information content (PIC).
Main Results:
- The average allele number, H(0), and PIC were determined for the F1 and F2 populations.
- Average informative meiosis (IM) was 217.4, with linkage map lengths ranging from 168.7 cM to 197.3 cM across the five chromosomes.
- The constructed linkage map orders were consistent with the USDA-MARC reference map, but with greater length.
Conclusions:
- The study successfully characterized microsatellite markers and established a linkage map in a pig resource population.
- The generated linkage map is a valuable resource for future QTL mapping studies in pigs.
- This research enhances the understanding of pig genetic architecture and aids in marker-assisted selection.
