Intestinal microbiota of ornamental fish Carassius auratus
Bibliographic record
Abstract
Intestinal microbiota is an essential component for any organism life, because it directly affects nutrient assimilation, growth and health processes. However, in many animals and in case of fish is unknown how Intestinal microbiota is formed, which species are dominant and which one has capacity probiotic for use in aquaculture. The goal of this study was to establish the bacterial load that dominates the back intestine of Carassius auratus. A batch of 200 healthyjuvenilefishes were obtained from an ornamental fish farm in Mexico City. The fish were maintained in two culture beakers of 100 L during 15 day to acclimatization to ensure any sign of injury disease. To extract the back of gastrointestinal tract, which was rinse several times with distilled water for food and feces residues elimination. The sample was inoculated in 9 mL of sterile saline solution and from this, three dilutions in a 1:10 relation were made, inoculating 0.1 mL from each dilution in agar plates MRS, BHI and TCBS, and were incubated at 27oC for 24 hours. Subsequently a colony forming units (CFU mL-1) count was made, with the help of a Quebec counter type. Colonies were purified through successive inoculations. The molecular identification was made out by sequencing the gene RNAr 16S using Wizard Genomic. Molecular identification showed that the back region of the intestinal tract of C. auratus was dominated by phylum Proteobacteria and Firmicutes represented by the genus Bacillus , Vibrio , Vagococcus , Brevibacillus , Aeromonas , Pseudomonas , Shewanella , Enterococcus , Paenibacillus and Morganella. In relation to bacterial abundance by specie it was established that Bacillus sp. and Pseudomonas stutzeri were the most abundant reaching CFU mL -1 counts of 210 and 167 respectively, followed by Paenibacillus lactis with 103 CFU mL -1 and Bacillus cereus with 100 CFU mL -1 while Enterococcus eurekensis was the least abundant with an average value of 6 CFU mL -1 .
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".