数字农科院2.0

Transcriptome-Metabolome Analysis Reveals That Crossbreeding Improves Meat Quality in Hu Sheep and Their F1-Generation Sheep

文献类型： 外文期刊

作者： Zhang, Liwa;An, Xuejiao;Xu, Zhenfei;Niu, Chune;Geng, Zhiguang;Zhang, Jinxia;Shi, Haina;Chen, Zhenghan;Zhang, Rui;Yue, Yaojing

作者机构：

关键词： crossbreed;longissimus dorsi;meat quality;transcriptomics;metabolomics

期刊名称： FOODS

ISSN：

年卷期： 2025 年 14 卷 8 期

页码：

收录情况： SCIE（2025版）

摘要： Consumers are increasingly demanding higher-quality mutton. Crossbreeding has been recognized as an effective means to improve meat quality. However, the phenomenon underlying these molecular system mechanisms remains largely unidentified. In this study, 48 male lambs aged 3 months were selected, including male Hu sheep x female Hu (HH, n = 16), male Polled Dorset x female Hu sheep F-1 hybrid lambs (DH, n = 16), and male Southdown x female Hu sheep (SH, n = 16) F-1 hybrid lambs, and raised in a single pen under the same nutritional and management conditions for 95 days. Then, seven sheep close to the average weight of the group were selected and fasted for 12 h prior to slaughter. By comparing the muscle fiber characteristics of the Longissimus dorsi of the three groups of sheep, and through transcriptomic and metabolomic analyses, we revealed molecular differences in the meat quality of Hu sheep crossbred with different parent breeds. The results of this study showed that muscle fiber diameter and cross-sectional area were significantly greater in the DH group than in the HH group, and collagen fiber content in the DH group was also significantly higher than in the HH group (p < 0.05). A total of 163 differential genes and 823 differential metabolites were identified in the three groups, most of which were related to muscle development and lipid metabolism. These included the AMPK signaling pathway, the PI3K-Akt signaling pathway, glycerophospholipid metabolism, and the related genes EFHB, PER3, and PPARGC1A. The results of this study offer valuable insights into the molecular mechanisms underlying the impact of crossbreeding on meat quality and provide a theoretical foundation for sheep crossbreed production.

分类号：

  • 相关文献

[1]Characteristics of Transcriptome and Metabolome Concerning Intramuscular Fat Content in Beijing Black Pigs. Xinhua Hou,Run Zhang,Man Yang,Naiqi Niu,Wencheng Zong,Liyu Yang,Huihui Li,Renda Hou,Xiaoqing Wang,Ligang Wang,Xin Liu,Lijun Shi,Fuping Zhao,Lixian Wang,Longchao Zhang. 2023

[2]Transcriptome-metabolome analysis reveals how sires affect meat quality in hybrid sheep populations. Bowen Chen,Yaojing Yue,Jianye Li,Jianbin Liu,Chao Yuan,Tingting Guo,Dan Zhang,Bohui Yang,Zengkui Lu. 2022

[3]A comprehensive study on the longissius dorsi muscle of Ashdan yaks under different feeding regimes based on transcriptomic and metabolomic analyses. Wang, Tong,Ma, Xiaoming,Zheng, Qingbo,Ma, Chaofan,Zhang, Zhilong,Pan, Heping,Guo, Xian,Wu, Xiaoyun,Chu, Min,Liang, Chunnian,Yan, Ping. 2024

[4]Grain Feeding Improves Yak Meat Tenderness and Lipid Deposition: Meat Quality, Amino Acid and Fatty Acid Profiles, Metabolomics, and Transcriptomics. Zou, Bo,Yang, Yuanli,Zhou, Yuqing,Yang, Yiran,Song, Weiru,Xie, Peng,Zang, Mingwu. 2026

[5]The effects of different doses of compound enzyme preparations on the production performance, meat quality and rumen microorganisms of yak were studied by metagenomics and transcriptomics. Chenyang Zhang,Yong Fu La,Xiaoming Ma,Pingcuo Zhandui,Xiaoyun Wu,Xian Guo,Ping Yan,Luosan Dunzhu,Chunnian Liang. 2024

[6]Soybean Omics and Biotechnology in China. Guo, Yong,Wang, Xiao-Bo,He, Wei,Zhou, Guo-An,Guo, Bing-Fu,Zhang, Le,Liu, Zhang-Xiong,Luo, Zhong-Qin,Wang, Li-Hui,Qiu, Li-Juan. 2011

[7]Germplasm resource evaluation and the underlying regulatory mechanisms of the differential copper stress tolerance among Vitis species. Xia J.,Chen C.,Liu T.,Liu C.,Liu S.,Fang J.,Shangguan L.. 2023

[8]Application of omics technology in the research on edible fungi. Cao L.,Zhang Q.,Miao R.,Lin J.,Feng R.,Ni Y.,Li W.,Yang D.,Zhao X.. 2023

[9]Integrative analysis of transcriptomics and metabolomics to reveal the melanogenesis pathway of muscle and related meat characters in Wuliangshan black-boned chickens. Tengfei Dou,Shixiong Yan,Lixian Liu,Kun Wang,Zonghui Jian,Zhiqiang Xu,Jingying Zhao,Qiuting Wang,Shuai Sun,Mir Zulqarnain Talpur,Xiaohua Duan,Dahai Gu,Yang He,Yanli Du,Alsoufi Mohammed Abdulwahid,Qihua Li,Hua Rong,Weina Cao,Zhengchang Su,Guiping Zhao,Ranran Liu,Sumei Zhao,Ying Huang,Marinus F.W. Te Pas,Changrong Ge,Junjing Jia. 2022

[10]Metabolomics and Transcriptomics Provide Insights into Anthocyanin Biosynthesis in the Developing Grains of Purple Wheat (Triticum aestivum L.). Fang Wang,Guangsi Ji,Zhibin Xu,Bo Feng,Qiang Zhou,Xiaoli Fan,Tao Wang. 2021

[11]Integrative Analysis of Liver Metabolomics and Transcriptomics Reveals Oxidative Stress in Piglets with Intrauterine Growth Restriction. Gao H.,Chen X.,Zhao J.,Xue Z.,Zhang L.,Zhao F.,Wang B.,Wang L.. 2022

[12]Transcriptomics and metabolomics revealed that phosphate improves the cold tolerance of alfalfa. Yuntao Wang,Zhen Sun,Qiqi Wang,Jihong Xie,Linqing Yu. 2023

[13]Underlying mechanism of accelerated cell death and multiple disease resistance in a maize lethal leaf spot 1 allele. Li, Jiankun,Chen, Mengyao,Fan, Tianyuan,Mu, Xiaohuan,Gao, Jie,Wang, Ying,Jing, Teng,Shi, Cuilan,Niu, Hongbin,Zhen, Sihan,Fu, Junjie,Zheng, Jun,Wang, Guoying,Tang, Jihua,Gou, Mingyue. 2022

[14]Revealing the difference of α-amylase and CYP6AE76 gene between polyphagous Conogethes punctiferalis and oligophagous C. pinicolalis by multiple-omics and molecular biological technique. Jing D.,Prabu S.,Zhang T.,Bai S.,He K.,Zhang Y.,Wang Z.. 2022

[15]Combined metabolomics and transcriptomics analysis reveals the mechanism underlying blue light-mediated promotion of flavones and flavonols accumulation in Ligusticum chuanxiong Hort. microgreens. Wenxian Wu,Xiumei Luo,Ying Wang,Xiulan Xie,Yizhou Lan,Linxuan Li,Tingting Zhu,Maozhi Ren. 2023

[16]2E,4E-Decadienoic Acid, a Novel Anti-Oomycete Agent from Coculture of Bacillus subtilis and Trichoderma asperellum. Zhang, Xi-Fen,Li, Qing-Yu,Wang, Mei,Ma, Si-Qi,Zheng, Yan-Fen,Li, Yi-Qiang,Zhao, Dong-Lin,Zhang, Cheng-Sheng. 2022

[17]Integrated analysis of transcriptome and metabolome revealed biological basis of sows from estrus to lactation. Shi L.,Li H.,Huang X.,Shu Z.,Li J.,Wang L.,Yan H.,Wang L.. 2023

[18]Persistence of algal toxicity induced by polystyrene nanoplastics at environmentally relevant concentrations. Mingqi Yao,Li Mu,Ziwei Gao,Xiangang Hu. 2023

[19]Multi-omics analysis of a drug-induced model of bipolar disorder in zebrafish. Yameng Li,Lin Zhang,Mingcai Mao,Linjuan He,Tiancai Wang,Yecan Pan,Xiaoyu Zhao,Zishu Li,Xiyan Mu,Yongzhong Qian,Jing Qiu. 2023

[20]Editorial: Omics-driven crop improvement for stress tolerance. Qi W.,Chen J.,Han Y.,Li Z.,苏晓峰.,Yeo F.K.S.. 2023

作者其他论文 更多>>