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Polymorphism in ovine ADCY8 gene and its association with residual feed intake in Hu sheep.
Yang, Xiaobin; Wang, Weimin; Wang, Xiaojuan; Zhang, Deyin; Li, Xiaolong; Zhang, Yukun; Zhao, Yuan; Zhao, Liming; Wang, Jianghui; Xu, Dan; Cheng, Jiangbo; Li, Wenxin; Zhou, Bubo; Lin, Changchun; Zeng, Xiwen; Zhai, Rui; Ma, Zongwu; Liu, Jia; Cui, Panpan; Zhang, Xiaoxue.
Afiliação
  • Yang X; College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China.
  • Wang W; College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China.
  • Wang X; The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, China.
  • Zhang D; College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China.
  • Li X; The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, China.
  • Zhang Y; College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China.
  • Zhao Y; College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China.
  • Zhao L; College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China.
  • Wang J; College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China.
  • Xu D; College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China.
  • Cheng J; College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China.
  • Li W; College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China.
  • Zhou B; College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China.
  • Lin C; College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China.
  • Zeng X; College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China.
  • Zhai R; College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China.
  • Ma Z; College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China.
  • Liu J; College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China.
  • Cui P; College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China.
  • Zhang X; College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China.
Anim Biotechnol ; : 1-8, 2022 Nov 17.
Article em En | MEDLINE | ID: mdl-36384395
ABSTRACT
Feed efficiency makes up a large part of sheep production, which also has a crucial impact on the economic benefits of producers. This study explores the polymorphism of Adenylyl cyclase 8 gene associated with feed efficiency and detects the expression characteristics of ADCY8 in ten tissues of Hu sheep. The polymorphism of ADCY8 was recognized by using PCR amplification and Sanger sequencing, KASPar technology was used for genotyping subsequently, and the relationship between SNP and RFI is also studied. The results indicated that an intronic mutation g.24799148 C > T (rs 423395741) was identified in ADCY8, and association analysis showed that the SNP g.24799148 C > T (rs 423395741) was significantly associated with RFI at 100-120, 100-140, 100-160, and 100-180 days (p < 0.05). The quantitative real-time PCR (qRT-PCR) result showed that ADCY8 was expressed in ten tissues, and the expression of ADCY8 gene in rumen tissue was significantly higher than in the other tested tissues. Therefore, these results indicated that the ADCY8 mutation locus may be used as a candidate molecular marker for evaluating the feed efficiency of Hu sheep.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article