論文

査読有り
2017年10月

Genome-wide association studies reveal additional related loci for fatty acid composition in a Duroc pig multigenerational population

ANIMAL SCIENCE JOURNAL
  • Shuji Sato
  • ,
  • Yoshinobu Uemoto
  • ,
  • Takashi Kikuchi
  • ,
  • Sachiko Egawa
  • ,
  • Kimiko Kohira
  • ,
  • Tomomi Saito
  • ,
  • Hironori Sakuma
  • ,
  • Satoshi Miyashita
  • ,
  • Shinji Arata
  • ,
  • Keiichi Suzuki

88
10
開始ページ
1482
終了ページ
1490
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1111/asj.12793
出版者・発行元
WILEY

The aim of the present study was to detect quantitative trait loci affecting fatty acid composition in back fat and intramuscular fat in a Duroc pig population comprising seventh-generation pedigrees using genome-wide association studies (GWAS). In total, 305 animals were genotyped using single nucleotide polymorphisms (SNPs) array and five selected SNPs from regions containing known candidate genes related to fatty acid synthesis or metabolism. In total, 24 genome-wide significant SNP regions were detected in 12 traits, and 76 genome-wide suggestive SNP regions were detected in 33 traits. The Sus scrofa chromosome (SSC) 7 at 10.3 Mb was significantly associated with C17: 0 in intramuscular fat, while the SSC9 at 13.6 Mb was significantly associated with C14: 0 in intramuscular fat. The SSC12 at 1.0 Mb was significantly associated with C14: 0 in back fat and the SSC14 at 121.0 Mb was significantly associated with C18: 0 in intramuscular fat. These regions not only replicated previously reported loci containing some candidate genes involved in fatty acid composition (fatty acid synthase and stearoyl-CoA desaturase) but also included several additional related loci.

リンク情報
DOI
https://doi.org/10.1111/asj.12793
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/28402008
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000412089900004&DestApp=WOS_CPL
ID情報
  • DOI : 10.1111/asj.12793
  • ISSN : 1344-3941
  • eISSN : 1740-0929
  • PubMed ID : 28402008
  • Web of Science ID : WOS:000412089900004

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