Dietary Modulation of Gut Microbiota and Metabolome Shapes Growth Performance in Thamnaconus septentrionalis
Thamnaconus septentrionalis is an economically important marine aquaculture species in China. However, the acceptance rate of formulated feeds in commercial farming is only 30–40%, substantially lower than the 80–90% achieved with fresh feeds, which severely constrains the intensive development of this industry. The gut microbiota-mediated regulatory mechanisms underlying the effects of different feed types on growth performance remain unclear, limiting the precise development of efficient formulated feeds. This study established four feed types (commercial pellet feed K, custom-formulated feed P, frozen shrimp X, and fresh fish meat Y) through a 60-day feeding trial. Growth performance data, 16S rRNA sequencing, and untargeted metabolomics were analyzed. Random Forest-Partial Least Squares Regression models were employed to identify key microbial-metabolite features. Results indicated that the Y group exhibited the optimal feed conversion ratio (1.14), with intestinal Firmicutes abundance (45.3%) significantly higher than the K group (28.5%). Short-chain fatty acid levels increased by more than 350-fold, enriching short-chain fatty acid-producing bacteria such as Lactobacillus and Faecalibacterium. The P group, formulated with high fishmeal content (40%), achieved performance levels comparable to the Y group across most indicators. Machine learning models identified key microbial-metabolite features predicting growth performance, providing a multi-omics framework for developing efficient formulated feeds for marine carnivorous fish.
Authors
- Li Bian (ORCID: https://orcid.org/0000-0001-9916-3720)
- Hongshu Chi (ORCID: https://orcid.org/0000-0003-0131-0281)
- Ling Ke (ORCID: https://orcid.org/0000-0003-4215-7594)
- Shuigen Li (ORCID: https://orcid.org/0000-0002-8805-3451)
- Qinmei Fang (ORCID: https://orcid.org/0009-0001-7451-3728)
- Shaohua Shi
- Ximin Qiu
- Yongcong Chen
- Siqing Chen
Institutions
- Fujian Academy of Agricultural Sciences (CN)
- ES Technology (United Kingdom) (GB)
- Fujian Fisheries Research Institute (CN)
- Biotechnology Research Institute (CN)
- Chinese Academy of Fishery Sciences (CN)
Publication Details
- Journal
- Animals
- Published
- 2026-04-24
- DOI
- https://doi.org/10.3390/ani16091312
- Primary Topic
- Aquaculture Nutrition and Growth
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Fujian Provincial Department of Science and Technology