Characterization of <i>Aeromonas salmonicida</i> mesophilic isolates from Alberta (Canada) allows the development of a more sensitive <i>Dictyostelium discoideum</i> predation test
Bibliographic record
Abstract
Aeromonas salmonicida is studied using Dictyostelium discoideum as a model host, with predation resistance measured as a key parameter. Aeromonas salmonicida mesophilic isolates exhibit inconclusive results with the amoebic model. This study focuses on new mesophilic isolates (S24-S38, S26-S10, and S28-S20) from Alberta, Canada, and introduces an improved predation test method. Phylogenetic analysis reveals two subgroups, with S24-S38 and S26-S10 clustering with the subspecies pectinolytica from Argentina, and S28-S20 with strains from India (Y567) and Spain (AJ83), showcasing surprising mesophilic strain diversity across geographic locations. Predation tests were carried out with various mesophilic and psychrophilic strains of A. salmonicida, including Alberta isolates. The amoeba cell lines used were DH1-10 and AX2. Although the mesophilic isolates were very resistant to predation by the amoeba DH1-10, some lost this resistance to the AX2 strain, which appeared more voracious in the conditions tested. In addition, when diluting the culture medium used in a predation test with AX2, a loss of the capacity to predation resistance was observed for all the mesophilic isolates, including the highly resistant S28-S20 isolate. This study provides insights into the predation resistance of A. salmonicida isolates and offers avenues for better characterizing mesophilic isolates.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".