Integrative transcriptomic, proteomic and metabolomic analyses yields insights into muscle fiber type in cattle

被引:0
|
作者
Tan, Xiaofan [1 ]
Zhao, Ruixue [1 ]
Chen, Jing [1 ]
Yan, Zhiwei [1 ]
Sui, Xin [1 ]
Li, Heling [1 ]
Li, Qiao [1 ]
Du, Xuehai [2 ]
Liu, Yangzhi [3 ]
Yao, Siming [2 ]
Yang, Ying [1 ]
Irwin, David M. [4 ]
Li, Bojiang [1 ]
Zhang, Shuyi [1 ]
机构
[1] Shenyang Agr Univ, Coll Anim Sci & Vet Med, Shenyang 110866, Peoples R China
[2] Liaoning Agr Dev Serv Ctr, Shenyang 110032, Peoples R China
[3] Wellhope Foods Co Ltd, Shenyang 110164, Peoples R China
[4] Univ Toronto, Dept Lab Med & Pathobiol, Toronto, ON M5S 1A8, Canada
关键词
Cattle; Muscle fiber; DEGs; DAPs; DAMs; MEAT QUALITY; GENE-EXPRESSION; SKELETAL; MITOCHONDRIA; CONVERSION;
D O I
10.1016/j.foodchem.2024.142479
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
Muscle fiber is an important factor in beef quality. Here, we compared fast-type longissimus dorsi muscle and slow-type psoas major muscle from cattle using transcriptomic, proteomic and metabolomic analyses. A total of 1717 differentially expressed genes (DEGs), 297 differentially abundant proteins (DAPs) and 193 differentially abundant metabolites (DAMs) were identified between LD and PM tissue, respectively. For verification, we selected 10 DEGs for qRT-PCR and 6 DAPs for western blotting, and showed they were consistent between the two approaches. GO and KEGG enrichment analyses revealed that some DEGs, DAPs and DAMs were enriched in muscle fiber type-associated GO terms and pathways. Many of them are involved in glycolysis, TCA and fatty acid metabolism. Integrated multi-omics analysis showed a correlation coefficient of 0.6244 between the transcriptome and proteome. This study provides a new understanding of molecular mechanisms involved in the determination of bovine muscle fiber type and meat quality.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Integrative transcriptomic and metabolomic analyses reveals the toxicity and mechanistic insights of bioformulated chitosan nanoparticles against Magnaporthe oryzae
    Hafeez R.
    Guo J.
    Ahmed T.
    Ibrahim E.
    Ali M.A.
    Rizwan M.
    Ijaz M.
    An Q.
    Wang Y.
    Wang J.
    Li B.
    Chemosphere, 2024, 356
  • [2] Transcriptomic and Metabolomic Analyses Provide Insights Into the Flavonoid Biosynthesis in Dangshen
    Liu, Xuxia
    Ma, Haitang
    Liu, Xiaoling
    Wang, Xin
    Chen, Zhengjun
    Yang, Jie
    Luo, Wenrong
    Li, Qin
    Yang, Fude
    Li, Fang
    PHYTOCHEMICAL ANALYSIS, 2025,
  • [3] An integrative overview of genomic, transcriptomic and proteomic analyses in organohalide respiration research
    Tuerkowsky, Dominique
    Jehmlich, Nico
    Diekert, Gabriele
    Adrian, Lorenz
    von Bergen, Martin
    Goris, Tobias
    FEMS MICROBIOLOGY ECOLOGY, 2018, 94 (03)
  • [4] Integrated transcriptomic, proteomic, and metabolomic analyses of human and mouse T cell leukemia
    Chu, Ching-Yu
    Chen, Szu-Yuan
    Chueh, Fu-Yu
    Cheng, Mei-Ling
    Yu, Chao-Lan
    CANCER RESEARCH, 2020, 80 (16)
  • [5] Integrative transcriptomic and metabolomic analyses reveal the phenylpropanoid and flavonoid biosynthesis of Prunus mume
    Wu, Rui
    Qian, Chengcheng
    Yang, Yatian
    Liu, Yi
    Xu, Liang
    Zhang, Wei
    Ou, Jinmei
    JOURNAL OF PLANT RESEARCH, 2024, 137 (01) : 95 - 109
  • [6] Integrative transcriptomic and metabolomic analyses reveal the phenylpropanoid and flavonoid biosynthesis of Prunus mume
    Rui Wu
    Chengcheng Qian
    Yatian Yang
    Yi Liu
    Liang Xu
    Wei Zhang
    Jinmei Ou
    Journal of Plant Research, 2024, 137 : 95 - 109
  • [7] Insights into the regulation of protein abundance from proteomic and transcriptomic analyses
    Vogel, Christine
    Marcotte, Edward M.
    NATURE REVIEWS GENETICS, 2012, 13 (04) : 227 - 232
  • [8] Insights into the regulation of protein abundance from proteomic and transcriptomic analyses
    Christine Vogel
    Edward M. Marcotte
    Nature Reviews Genetics, 2012, 13 : 227 - 232
  • [9] Muscle transcriptomic analyses in Angus cattle with divergent tenderness
    Zhao, Chunping
    Tian, Fei
    Yu, Ying
    Luo, Juan
    Hu, Qiong
    Bequette, Brian J.
    Baldwin, Ransom L.
    Liu, George
    Zan, Linsen
    Updike, M. Scott
    Song, Jiuzhou
    MOLECULAR BIOLOGY REPORTS, 2012, 39 (04) : 4185 - 4193
  • [10] Transcriptomic and Metabolomic Analyses Providing Insights into the Coloring Mechanism of Docynia delavayi
    Wang, Yuchang
    Song, Yuyang
    Wang, Dawei
    FOODS, 2022, 11 (18)