Metabolomic, lipidomic and transcriptomic reveal meat quality differences among hybrid, indigenous and commercial broiler
文献类型： 外文期刊
作者： Zhou, Zhen 1 ; Cai, Danfeng 1 ; Zhang, Zhaofeng 1 ; Cai, Bolin 1 ; Yang, Xin 1 ; Kong, Shaofen 1 ; Wu, Ruiquan 1 ; Lin, Duo 1 ; Yuan, Rongshuai 1 ; Mo, Yu 1 ; Wu, Haotian 1 ; Nie, Qinghua 1 ;
作者机构： 1.South China Agr Univ, Coll Anim Sci, State Key Lab Livestock & Poultry Breeding, Guangdong Lab Lingnan Modern Agr, Guangzhou, Peoples R China
2.Minist Agr & Rural Affairs, Natl Local Joint Engn Res Ctr Livestock Breeding, Key Lab Chicken Genet Breeding & Reprod, Guangdong Prov Key Lab Agroanim Genom & Mol Breedi, Guangzhou, Peoples R China
关键词： Meat quality; Metabolism landscape; Hybrid chicken; Commercial chicken; Indigenous chicken
期刊名称：LWT-FOOD SCIENCE AND TECHNOLOGY （ 影响因子：6.6； 五年影响因子：6.9 ）
ISSN： 0023-6438
年卷期： 2024 年 209 卷
页码：
收录情况： SCI
摘要： With the improvement in living standards, breeders need to improve meat quality to meet consumers' demands. Hybrid (HB), indigenous (IB), and commercial broiler (CB) are the most essential components in consumer market. However, the difference in meat quality and underlying mechanism remains unclear. Our study found that HB showed significant differences in meat-quality performance compared with IB and CB, especially in breast muscle's shear force and meat color. Furthermore, metabolomic, lipidomic, and RNA-seq were performed to screen the critical molecular networks contributing to the performance difference. Most differentially expressed metabolites (DEMs) were significantly associated with shear force and a*value and enriched in lipid metabolism-related pathways. The lipidomic analysis detected many differentially expressed lipids (DELs), especially between HB and CB. Most showed a positive association with a* and b* value and a negative association with shear force. RNA-seq analysis screened 275 and 497 differentially expressed genes (DEGs) in HB compared with IB and CB, and they were also highly associated with metabolism pathways and meat-quality performance. Finally, integrative analysis was conducted to screen the core DEMs, DELs and DEGs contributing to meat-quality performance. Our findings provided knowledge for molecular markers to facilitate the selection of chicken meat quality.
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