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Poster Presentation : Reprogramming / Epigenetic

Genomewide Association Study for the Total Number Born and the Number of Piglets Weaned in Yorkshire Pigs

첫 페이지 보기
  • 발행기관
    한국동물생명공학회(구 한국동물번식학회) 바로가기
  • 간행물
    발생공학 국제심포지엄 및 학술대회 바로가기
  • 통권
    The 17th International Symposium on Developmental Biotechnology (2017.10)바로가기
  • 페이지
    pp.115-115
  • 저자
    Jung Jae Lee, Kyu-Ho Cho, Tae-Jeong Choi, Yong-Min Kim, Eun Seok Cho, Hak-Jae Chung, Sun-Young Baek
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A347378

원문정보

초록

영어
GWAS (Genome wide association study) strategy has been applied with the purpose to identity chromosomal regions and SNPs that control relevant traits. The development of SNP panel with the medium density (PorcineSNP60 BeadChip) allows the detection of QTL (Quantitative trait loci) and candidate genes near QTL with a higher resolution compared to using microsatellites in the past. The total number born (TNB) and the number of piglets weaned (NPW) are the most economical traits in pigs due to a huge impact on the efficiency of pig production. Therefore, the aim of this study was to detect regions (1-Mb windows) and SNPs associated with litter size (total number born, TNB) and the number of piglets weaned (NPW) for Yorkshire pigs. Reference population of 1,978 Yorkshire pigs were genotyped using Illumina Porcine SNP60 v2 SNP panel which were then imputed for missing genotypes with FImpute v2.2. BayesB with set to π (0.99) method was used to identify the informative window regions and deregressed EPD and their reliabilities were used as a response variable and a weighting factor in GWAS model. In total, 8 and 6 genome regions explaining over 0.75% of the genetic variance and 9 and 6 SNPs were identified for TNB and NPW traits, respectively. Those identified genome regions were located on SSC1, SSC6, SSC7, SSC11, SSC14 and SSC16 for TNB and SSC1, SSC4, SSC7 and SSC14 for NPW. No overlapping significant chromosome areas or QTL between TNB and NPW traits were detected. Our results suggested that it is feasible to improving the accuracy of the genomic selection by detecting QTLs for TNB and NPW traits.

키워드

GWAS QTL TNB NPW

저자

  • Jung Jae Lee [ National Institute of Animal Science, Rural Development Adminstration, Korea ]
  • Kyu-Ho Cho [ National Institute of Animal Science, Rural Development Adminstration, Korea ]
  • Tae-Jeong Choi [ National Institute of Animal Science, Rural Development Adminstration, Korea ]
  • Yong-Min Kim [ National Institute of Animal Science, Rural Development Adminstration, Korea ]
  • Eun Seok Cho [ National Institute of Animal Science, Rural Development Adminstration, Korea ]
  • Hak-Jae Chung [ National Institute of Animal Science, Rural Development Adminstration, Korea ]
  • Sun-Young Baek [ National Institute of Animal Science, Rural Development Adminstration, Korea ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국동물생명공학회(구 한국동물번식학회) [The Korean Society of Animal Reproduction and Biotechnology]
  • 설립연도
    1976
  • 분야
    농수해양>축산학
  • 소개
    동물번식생리학, 동물생명공학, 수의학, 인공수정 및 수정란이식을 이용한 동물개량에 관한 이론과 기술의 발전을 통해 학계, 연구계, 산업계 및 양축가 상호간의 협력을 도모함으로써 동물과학발전 및 사회일반의 이익에 기여 한다는 목적을 위해 노력해 나가겠습니다.

간행물

  • 간행물명
    발생공학 국제심포지엄 및 학술대회 [International Symposium on Developmental Biotechnology]
  • 간기
    연간
  • 수록기간
    2004~2018
  • 십진분류
    KDC 527 DDC 636

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