Comprehensive transcriptomic and metabolomic analysis provides insight into transportation stress effects on fish muscle quality

  • NPJ Sci Food. 2026 Jan 7;10(1):44. doi: 10.1038/s41538-025-00691-6.
Yujie Meng  1 Liangzi Zhang  2 Shikang Sang  1 Zenan Huang  1 Ru Liu  1 Juan You  1 Qilin Huang  1 Yong Long  3 Guili Song  3 Dan Jia  4 Tao Yin  5
Affiliations
  • 1. College of Food Science and Technology, Huazhong Agricultural University, Wuhan, China.
  • 2. Wuhan Business University, Wuhan, China.
  • 3. State Key Laboratory of Breeding Biotechnology and Sustainable Aquaculture, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.
  • 4. College of Animal Science and Technology, Yunnan Agricultural University, Kunming, China. [email protected].
  • 5. College of Food Science and Technology, Huazhong Agricultural University, Wuhan, China. [email protected].
Abstract

Transportation, a critical link in the aquaculture industry chain, triggers significant economic losses through stress-induced muscle quality deterioration in fish. This multi-omics study explored the mechanisms underlying transportation stress-induced quality deterioration of fish muscle. Transportation stress elevated cortisol, glucose, Lactate Dehydrogenase, and oxidative markers (SOD), alongside gill/liver tissue damage. Stress reduced muscle shear force, whiteness, and water-holding capacity, which were highly related to the disruption of muscular structure. Transcriptomics revealed dysregulation of AMPK, PI3K-Akt, FOXO, and MAPK pathways via pfkfb, Akt, gadd45, gabarap, jun. Metabolomics highlighted TCA cycle disruption, altered fructose and mannose/pyruvate metabolism, and purine imbalance (e.g., D-mannose 6-phosphate, malate, IMP). Muscle quality parameters negatively correlated with oxidative stress (gpx) and Apoptosis (casp3/8/9), but positively linked to DL-glutamine and D-fructose 6-phosphate. Results demonstrate that transportation stress impairs muscle quality via energy dysregulation, oxidative damage, and Apoptosis, thus providing a theoretical basis to optimize aquaculture transport and reduce economic losses.

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