Effect of the gut core microbiota Cetobacterium on the growth, physiology, and nutritional metabolism of Nile tilapia (Oreochromis niloticus)
Bibliographic record
Abstract
As a gut core microbiota in tilapia , Cetobacterium likely plays an essential nutritional role in the gut. We performed a feeding experiment to identify its function in the growth, physiology, and nutritional metabolism in Nile tilapia ( Oreochromis niloticus ). Tilapia were fed either a control diet (CK) or a Cetobacterium NK01-supplemented diet (1 × 10 7 CFU/g diet) (NK) for a period of 42 days. Analysis of growth indices, serum insulin, glucose and triglyceride (TG) levels, carbohydrate content in the gut, and amino acid levels in the serum were conducted. Additionally, we examined the transcriptome of the liver and the metabolome of the serum in tilapia . Our results showed that dietary supplementation with NK01 significantly improved carcass ratio, increased levels of insulin and amino acids in the serum, and reduced serum glucose and TG levels as well as gut carbohydrate content. Furthermore, analysis of the liver transcriptome and RT-qPCR data indicated a decrease of genes expression of fatty acid synthesis ( SREB 1c , ACCα , and FAS ) with NK01 supplementation feeding group. Metabolomics analysis revealed enhanced protein and amino acid metabolism in the serum of tilapia with NK01 supplementation feeding group. The relative abundance of the genus Romboutsia in the gut content of tilapia in the NK group decreased, and this was found to be positively associated with dietary sugar levels. Overall, our findings suggest that appropriate supplementation (1 × 10 7 CFU/g diet) with NK01 can serve as an effective nutritional strategy to enhance the metabolism and overall health of tilapia in aquaculture.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".