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Pan-Omics in Sheep: Unveiling Genetic Landscapes.
Li, Mengfei; Lu, Ying; Gao, Zhendong; Yue, Dan; Hong, Jieyun; Wu, Jiao; Xi, Dongmei; Deng, Weidong; Chong, Yuqing.
Afiliação
  • Li M; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.
  • Lu Y; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.
  • Gao Z; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.
  • Yue D; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.
  • Hong J; Faculty of Animal Science and Technology, Yuxi Agricultural Vocational and Technical College, Yuxi 653106, China.
  • Wu J; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.
  • Xi D; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.
  • Deng W; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.
  • Chong Y; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.
Animals (Basel) ; 14(2)2024 Jan 15.
Article em En | MEDLINE | ID: mdl-38254442
ABSTRACT
Multi-omics-integrated analysis, known as panomics, represents an advanced methodology that harnesses various high-throughput technologies encompassing genomics, epigenomics, transcriptomics, proteomics, and metabolomics. Sheep, playing a pivotal role in agricultural sectors due to their substantial economic importance, have witnessed remarkable advancements in genetic breeding through the amalgamation of multiomics analyses, particularly with the evolution of high-throughput technologies. This integrative approach has established a robust theoretical foundation, enabling a deeper understanding of sheep genetics and fostering improvements in breeding strategies. The comprehensive insights obtained through this approach shed light on diverse facets of sheep development, including growth, reproduction, disease resistance, and the quality of livestock products. This review primarily focuses on the application of principal omics analysis technologies in sheep, emphasizing correlation studies between multiomics data and specific traits such as meat quality, wool characteristics, and reproductive features. Additionally, this paper anticipates forthcoming trends and potential developments in this field.
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Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Animals (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Animals (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China