Asian-Australasian Journal of Animal Sciences

  • 제32권2호
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  • Pages.290-296
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  • 2019
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  • 1011-2367(pISSN)
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  • 1976-5517(eISSN)
아세아태평양축산학회 (Asian Australasian Association of Animal Production Societies)
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Genome analysis of Yucatan miniature pigs to assess their potential as biomedical model animals

  • Kwon, Dae-Jin (International Agricultural Development and Cooperation Center, Chonbuk National University) ;
  • Lee, Yeong-Sup (Department of Animal Biotechnology, Chonbuk National University) ;
  • Shin, Donghyun (Department of Animal Biotechnology, Chonbuk National University) ;
  • Won, Kyeong-Hye (Department of Animal Biotechnology, Chonbuk National University) ;
  • Song, Ki-Duk (International Agricultural Development and Cooperation Center, Chonbuk National University)
  • 투고 : 2018.02.26
  • 심사 : 2018.05.29
  • 발행 : 2019.02.01
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초록

Objective: Pigs share many physiological, anatomical and genomic similarities with humans, which make them suitable models for biomedical researches. Understanding the genetic status of Yucatan miniature pigs (YMPs) and their association with human diseases will help to assess their potential as biomedical model animals. This study was performed to identify non-synonymous single nucleotide polymorphisms (nsSNPs) in selective sweep regions of the genome of YMPs and present the genetic nsSNP distributions that are potentially associated with disease occurrence in humans. Methods: nsSNPs in whole genome resequencing data from 12 YMPs were identified and annotated to predict their possible effects on protein function. Sorting intolerant from tolerant (SIFT) and polymorphism phenotyping v2 analyses were used, and gene ontology (GO) network and Kyoto encyclopedia of genes and genomes (KEGG) pathway analyses were performed. Results: The results showed that 8,462 genes, encompassing 72,067 nsSNPs were identified, and 118 nsSNPs in 46 genes were predicted as deleterious. GO network analysis classified 13 genes into 5 GO terms (p<0.05) that were associated with kidney development and metabolic processes. Seven genes encompassing nsSNPs were classified into the term associated with Alzheimer's disease by referencing the genetic association database. The KEGG pathway analysis identified only one significantly enriched pathway (p<0.05), hsa04080: Neuroactive ligand-receptor interaction, among the transcripts. Conclusion: The number of deleterious nsSNPs in YMPs was identified and then these variants-containing genes in YMPs data were adopted as the putative human diseases-related genes. The results revealed that many genes encompassing nsSNPs in YMPs were related to the various human genes which are potentially associated with kidney development and metabolic processes as well as human disease occurrence.

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