Extent of linkage disequilibrium and effective population size of Korean Yorkshire swine

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Title
Extent of linkage disequilibrium and effective population size of Korean Yorkshire swine
Author(s)
D Shin; K H Won; S H Kim; Yong Min Kim
Bibliographic Citation
Asian-Australasian Journal of Animal Sciences, vol. 31, no. 12, pp. 1843-1851
Publication Year
2018
Abstract
OBJECTIVE: We aimed to characterize linkage disequilibrium (LD) and effective population size (Ne) in a Korean Yorkshire population using genomic data from thousands of individuals. METHODS: We genotyped 2,470 Yorkshire individuals from four major Grand-Grand-Parent farms in Korea using the Illumina PorcineSNP60 version2 BeadChip, which covers >61,565 single nucleotide polymorphisms (SNPs) located across all chromosomes and mitochondria. We estimated the expected LD and inferred current Ne as well as ancestral Ne. RESULTS: We identified 61,565 SNP from autosomes, mitochondria, and sex chromosomes and characterized the LD of the Yorkshire population, which was relatively high between closely linked markers (>0.55 at 50 kb) and declined with increasing genetic distance. The current Ne of this Korean Yorkshire population was 122.87 (106.90; 138.84), while the historical Ne of Yorkshire pigs suggests that the ancestor Ne has decreased by 99.6% over the last 10,000 generations. CONCLUSION: To maintain genetic diversity of a domesticated animal population, we must carefully consider appropriate breed management methods to avoid inbreeding. Although attenuated selection can affect short-term genetic gain, it is essential for maintaining the long-term genetic variability of the Korean Yorkshire population. Continuous and long-term monitoring would also be needed to maintain the pig population to avoid an unintended reduction of Ne. The best way to preserve a sustainable population is to maintain a sufficient Ne.
Keyword
Effective Population SizeLinkage DisequilibriumSingle Nucleotide PolymorphismYorkshire
ISSN
1011-2367
Publisher
Asian-Australasian Assoc Animal Production Soc
DOI
http://dx.doi.org/10.5713/ajas.17.0258
Type
Article
Appears in Collections:
Division of Research on National Challenges > Plant Systems Engineering Research > 1. Journal Articles
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