数字农科院2.0

Multi-Omics Mining of Characteristic Quality Factors Boosts the Brand Enhancement of the Geographical Indication Product-Pingliang Red Cattle

文献类型： 外文期刊

作者： Liu, Jing;Zhu, Yu;Liu, Xiaoxia;Zhang, Juan;Liu, Chuan;Zhao, Yan;Yang, Shuming;Chen, Ailiang;Zhao, Jie

作者机构：

关键词： metabolome;transcriptome;meat quality;Pingliang Red Cattle

期刊名称： FOODS

ISSN：

年卷期： 2025 年 14 卷 10 期

页码：

收录情况： SCIE（2025版）

摘要： Pingliang Red Cattle, a renowned geographical indication product in China, is distinguished by its superior meat quality, yet the scientific basis for its unique attributes remains underexplored. This study integrated metabolomic and transcriptomic analyses to elucidate the biochemical and physiological factors underlying the enhanced flavor, color stability, and tenderness of Pingliang Red Cattle beef compared to Qinchuan and Simmental cattle. Metabolomic profiling revealed significantly elevated levels of inosine monophosphate (IMP, 2.86-3.96x higher) and glutathione (GSH, 2.42-5.43x higher) in Pingliang Red Cattle, contributing to intense umami flavor and prolonged meat color retention. Notably, ergothioneine (EGT), a potent antioxidant, was identified for the first time in Pingliang Red Cattle beef, with concentrations 2.55x and 4.25x higher than in Qinchuan and Simmental, respectively. Transcriptomic analysis highlighted the upregulation of 21 tenderness-related genes (e.g., FABP3, PRDX6, CAST) and key enzymes in purine and glutathione metabolism pathways (e.g., PDE4D, ADSL, GGT1), correlating with meat tenderness and the improved meat quality. Additionally, Pingliang Red Cattle's natural forage-rich diet and low-density rearing practices were critical in enhancing these traits. These findings provide a scientific foundation for Pingliang Red Cattle's premium quality, offering actionable insights for GI product branding, quality optimization, and market competitiveness. The multi-omics approach established here serves as a paradigm for quality assessment and improvement of other GI agricultural products, bridging traditional reputation with molecular evidence.

分类号：

  • 相关文献

[1]Comprehensive Analysis of the Longissimus Dorsi Transcriptome and Metabolome Reveals the Regulatory Mechanism of Different Varieties of Meat Quality. Zhengwen Wang,Xuejiao An,Yonghui Yang,Lingyun Zhang,Ting Jiao,Shengguo Zhao. 2023

[2]Multi-omics integration to explore the molecular insight into the volatile organic compounds in watermelon. Chengsheng Gong,Nan He,Hongju Zhu,Muhammad Anees,Xuqiang Lu,Wenge Liu. 2023

[3]Defensive Resistance of Cowpea Vigna unguiculata Control Megalurothrips usitatus Mediated by Jasmonic Acid or Insect Damage. Tao Li,Mingyue Feng,Yuanming Chi,Xing Shi,Zilin Sun,Zhen Wu,Aomei Li,Wangpeng Shi. 2023

[4]Transcriptomic and metabolomic analyses reveal that exogenous strigolactones alleviate the response of melon root to cadmium stress. Chen X.,Shi X.,Ai Q.,Han J.,Wang H.,Fu Q.. 2022

[5]Transcriptome Co-expression Network and Metabolome Analysis Identifies Key Genes and Regulators of Proanthocyanidins Biosynthesis in Brown Cotton. Zhenzhen Wang,Xiaomeng Zhang,Shoupu He,Abdul Rehman,Yinhua Jia,Hongge Li,Zhaoe Pan,Xiaoli Geng,Qiong Gao,Liru Wang,Zhen Peng,Xiongming Du. 2022

[6]Transcriptomic and Metabolomic Analysis of Wheat Kernels in Response to the Feeding of Orange Wheat Blossom Midges (Sitodiplosis mosellana) in the Field. Qian Wang,Xiaobei Liu,Huan Liu,Yu Fu,Yumeng Cheng,Lijiao Zhang,Wangpeng Shi,Yong Zhang,Julian Chen. 2022

[7]Integrated Transcriptome and Metabolome Dissecting Interaction between Vitis vinifera L. and Grapevine Fabavirus. Baodong Zhang,Mengyan Zhang,Xiaojun Jia,Guojun Hu,Fang Ren,Xudong Fan,Yafeng Dong. 2023

[8]Integrated Metabolome and Transcriptome Analysis Unveils the Underlying Molecular Response of Panax ginseng Plants to the Phytophthora cactorum Infection. Hong Kan,Shuai Qu,Kai Dong,Shihan Wang,Chen Xu,Yingping Wang,Shuang Hua. 2023

[9]Integrated metabolomics and transcriptomics insights on flavonoid biosynthesis of a medicinal functional forage, Agriophyllum squarrosum (L.), based on a common garden trial covering six ecotypes. Tingzhou Fang,Shanshan Zhou,Chaoju Qian,Xia Yan,Xiaoyue Yin,Xingke Fan,Pengshu Zhao,Yuqiu Liao,Liang Shi,Yuxiao Chang,Xiao Fei Ma. 2022

[10]Multi-omics analyses of 398 foxtail millet accessions reveal genomic regions associated with domestication, metabolite traits, and anti-inflammatory effects. Xukai Li,Jianhua Gao,Jingyi Song,Kai Guo,Siyu Hou,Xingchun Wang,Qiang He,Yanyan Zhang,Yakun Zhang,Yulu Yang,Jiaoyan Tang,Hailang Wang,Staffan Persson,Mingquan Huang,Lishuai Xu,Linlin Zhong,Dongqin Li,Yongming Liu,Hua Wu,Xianmin Diao,Pe. 2022

[11]Integrative analysis of metabolome and genome-wide transcriptome reveal the flavor changes in apple (Malus pumila Mill) after the novel acaricide cyflumetofen application. Minmin Li,Lin Li,Zhiqiang Kong,Noel Gregoire,Rui Quan,Zisheng Luo,Xingyu Lin,Jesus Simal-Gandara,Bei Fan,Fengzhong Wang. 2023

[12]Comparison of transcriptome and metabolome analysis revealed differences in cold resistant metabolic pathways in different apple cultivars under low temperature stress. Xu, Gongxun,Li, Lijie,Zhou, Jia,Lyu, Deguo,Zhao, Deying,Qin, Sijun. 2023

[13]Combining quantitative trait locus mapping with multiomics profiling reveals genetic control of corn leaf aphid (Rhopalosiphum maidis) resistance in maize. Wang, Tengyue,Wang, Kaiji,Wang, Chuanhong,Zhao, Yibing,Tao, Zhen,Li, Junyao,Wang, Lei,Shi, Jian,Huang, Shijie,Xie, Chuanxiao,Li, Peijin. 2023

[14]Editorial: Omics data-based identification of plant specialized metabolic genes. Peipei Wang,Pengxiang Fan,Yan Bao,Wei Li,Li Wang. 2023

[15]Metabolome and Transcriptome Analyses Reveal the Differences in the Molecular Mechanisms of Oat Leaves Responding to Salt and Alkali Stress Conditions. Bai, Jianhui,Lu, Peina,Li, Feng,Li, Lijun,Yin, Qiang. 2023

[16]Metabolome and Transcriptome Integration Reveals Insights Into Flavor Formation of ‘Crimson’ Watermelon Flesh During Fruit Development. Chengsheng Gong,Weinan Diao,Hongju Zhu,Muhammad Jawad Umer,Shengjie Zhao,Nan He,Xuqiang Lu,Pingli Yuan,Muhammad Anees,Dongdong Yang,M. O. Kaseb,Wenge Liu. 2021

[17]The multi-omics basis of potato heterosis. Dawei Li,Xiaoyue Lu,Yanhui Zhu,Jun Pan,Shaoqun Zhou,Xinyan Zhang,Guangtao Zhu,Yi Shang,Sanwen Huang,Chunzhi Zhang. 2022

[18]Multi-Omic Analysis in a Metabolic Syndrome Porcine Model Implicates Arachidonic Acid Metabolism Disorder as a Risk Factor for Atherosclerosis. Song Song Xu,Xiu Ling Zhang,Sha Sha Liu,Shu Tang Feng,Guang Ming Xiang,Chang Jiang Xu,Zi Yao Fan,Kui Xu,Nan Wang,Yue Wang,Jing Jing Che,Zhi Guo Liu,Yu Lian Mu,Kui Li. 2022

[19]Transcriptomic and Metabolomic Analyses Provide Insights Into an Aberrant Tissue of Tea Plant (Camellia sinensis). Ding Ding Liu,Jun Ya Wang,Rong Jin Tang,Jie Dan Chen,Zhen Liu,Liang Chen,Ming Zhe Yao,Chun Lei Ma. 2021

[20]Transcription profile analysis for biosynthesis of flavor volatiles of Tunisian soft-seed pomegranate arils. Lei Yuan,Yurou Yun,Jun Tian,Zheng Qing Gao,Zhenzhen Xu,Xiaojun Liao,Junjie Yi,Shengbao Cai,Linyan Zhou. 2022

作者其他论文 更多>>