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Integrative analysis of transcriptomics and metabolomics to reveal the melanogenesis pathway of muscle and related meat characters in Wuliangshan black-boned chickens.
Dou, Tengfei; Yan, Shixiong; Liu, Lixian; Wang, Kun; Jian, Zonghui; Xu, Zhiqiang; Zhao, Jingying; Wang, Qiuting; Sun, Shuai; Talpur, Mir Zulqarnain; Duan, Xiaohua; Gu, Dahai; He, Yang; Du, Yanli; Abdulwahid, Alsoufi Mohammed; Li, Qihua; Rong, Hua; Cao, Weina; Su, Zhengchang; Zhao, Guiping; Liu, Ranran; Zhao, Sumei; Huang, Ying; Te Pas, Marinus F W; Ge, Changrong; Jia, Junjing.
Afiliação
  • Dou T; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
  • Yan S; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
  • Liu L; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
  • Wang K; Yunnan Vocational and Technical College of Agriculture, Kunming, 650031, Yunnan Province, People's Republic of China.
  • Jian Z; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
  • Xu Z; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
  • Zhao J; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
  • Wang Q; College of Food Science, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
  • Sun S; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
  • Talpur MZ; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
  • Duan X; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
  • Gu D; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
  • He Y; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
  • Du Y; Yunnan University of Traditional Chinese Medical, Kunming, 650500, Yunnan Province, People's Republic of China.
  • Abdulwahid AM; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
  • Li Q; College of Food Science, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
  • Rong H; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
  • Cao W; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
  • Su Z; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
  • Zhao G; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
  • Liu R; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
  • Zhao S; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
  • Huang Y; Department of Bioinformatics and Genomics, College of Computing and Informatics, the University of North Carolina at Charlotte, Charlotte, NC, 28223, USA.
  • Te Pas MFW; Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, People's Republic of China.
  • Ge C; Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, People's Republic of China.
  • Jia J; Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
BMC Genomics ; 23(1): 173, 2022 Mar 02.
Article em En | MEDLINE | ID: mdl-35236293
BACKGROUND: Melanin is an important antioxidant in food and has been used in medicine and cosmetology. Chicken meat with high melanin content from black-boned chickens have been considered a high nutritious food with potential medicinal properties. The molecular mechanism of melanogenesis of skeletal muscle in black-boned chickens remain poorly understood. This study investigated the biological gene-metabolite associations regulating the muscle melanogenesis pathways in Wuliangshan black-boned chickens with two normal boned chicken breeds as control. RESULTS: We identified 25 differentially expressed genes and 11 transcription factors in the melanogenesis pathways. High levels of the meat flavor compounds inosine monophosphate, hypoxanthine, lysophospholipid, hydroxyoctadecadienoic acid, and nicotinamide mononucleotide were found in Wuliangshan black-boned chickens. CONCLUSION: Integrative analysis of transcriptomics and metabolomics revealed the dual physiological functions of the PDZK1 gene, involved in pigmentation and/or melanogenesis and regulating the phospholipid signaling processes in muscle of black boned chickens.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Galinhas / Transcriptoma Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Galinhas / Transcriptoma Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Ano de publicação: 2022 Tipo de documento: Article