Using Bacteriophages to Prevent Furunculosis Caused by <i>Aeromonas salmonicida</i> in Farmed Brook Trout
Bibliographic record
Abstract
Abstract Fish aquaculture faces important losses as a result of bacterial resistance to antibiotics. Bacteriophages have proven a useful alternative therapy in other domains, but remain to be tested with fish. The interaction between Aeromonas salmonicida HER 1107, bacteriophage HER 110, and brook trout Salvelinus fontinalis was studied in 70-L aquariums maintained at 9°C. Populations of A. salmonicida (108 colony-forming units per milliliter) declined by six log units (base 10) in 3 d when bacteriophage HER 110 was introduced in a multiplicity of infection factor of 1. Concentrations of bacteriophages and bacteria in the open water of the aquariums were 2–3 log units lower than those in gravel interstitial water. However, the relative drop in bacterial populations with time was the same in both environments. Addition of the bacteriophage HER 110 delayed by 7 d the onset of furunculosis in brook trout. Further addition of A. salmonicida HER 1107 showed that bacteriophages remained in the aquariums. Mutants of the bacterium were isolated and used as targets for bacteriophage HER 110 and nine other phages. The tests revealed that more than one phage could infect A. salmonicida HER 1107 and that mutants resistant to bacteriophage HER 110 were sensitive to one or more phages. Bacteria resistant to bacteriophage HER 110 had a slower generation time than the original strain, and the success rate of replating in tryptic soy agar (TSA) was very low. More than 25% of the mutants seemed to revert to the original-strain phenotype after a first replating in TSA. All mutants were sensitive to three or more phages. Finally, stock cultures of 109 plaque-forming units per milliliter of bacteriophage HER 110 decreased by only one log unit in 80 d when held at 4°C in liquid brain–heart infusion broth culture medium. These results suggest that bacteriophage combinations could be successfully used in preventive programs on fish farms.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".