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Multiomics analyses of Jining Grey goat and Boer goat reveal genomic regions associated with fatty acid and amino acid metabolism and muscle development

文献类型: 外文期刊

作者: Liu, Zhaohua 1 ; Tan, Xiuwen 1 ; Jin, Qing 1 ; Zhan, Wangtao 3 ; Liu, Gang 3 ; Cui, Xukui 1 ; Wang, Jianying 1 ; Meng, Xianfeng 1 ; Zhu, Rongsheng 1 ; Wang, Ke 1 ;

作者机构: 1.Shandong Acad Agr Sci, Inst Anim Sci & Vet Med, Shandong Key Lab Anim Dis Control & Breeding, Jinan 250100, Peoples R China

2.Key Lab Livestock & Poultry Multiom MARA, Jinan 250100, Peoples R China

3.Shandong Anim Husb Gen Stn, Jinan, Peoples R China

关键词: Goat; Meat Quality; Muscle Development; RNA-seq; Selective Signature

期刊名称:ANIMAL BIOSCIENCE ( 影响因子:2.4; 五年影响因子:2.4 )

ISSN: 2765-0189

年卷期: 2024 年 37 卷 6 期

页码:

收录情况: SCI

摘要: Objective: Jining Grey goat is a local Chinese goat breed that is well known for its high fertility and excellent meat quality but shows low meat production performance. Numerous studies have focused on revealing the genetic mechanism of its high fertility, but its highlighting meat quality and muscle growth mechanism still need to be studied. Methods: In this research, an integrative analysis of the genomics and transcriptomics of Jining Grey goats compared with Boer goats was performed to identify candidate genes and pathways related to the mechanisms of meat quality and muscle development. Results: Our results overlap among five genes (ABHD2, FN1, PGM2L1, PRKAG3, RAVER2) and detected a set of candidate genes associated with fatty acid metabolism (PRKAG3, HADHB, FASN, ACADM), amino acid metabolism (KMT2C, PLOD3, NSD2, SETDB1, STT3B, MAN1A2, BCKDHB, NAT8L, P4HA3) and muscle development (MSTN, PPARGC1A, ANKRD2). Several pathways have also been detected, such as the FoxO signaling pathway and Apelin signaling pathway that play roles in lipid metabolism, lysine degradation, N-glycan biosynthesis, valine, leucine and isoleucine degradation that involving with amino acid metabolism. Conclusion: The comparative genomic and transcriptomic analysis of Jining Grey goat and Boer goat revealed the mechanisms underlying the meat quality and meat productive performance of goats. These results provide valuable information for future breeding of goats.

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