Differential proteomic analysis of <b><i>Aeromonas salmonicida</i></b> outer membrane proteins in response to low iron and <b><i>in vivo</i></b> growth conditions
Bibliographic record
Abstract
Aeromonas salmonicida subsp. salmonicida is the etiological agent of furunculosis, a serious infectious disease of salmonids. Bacterial phenotypes are known to change in vivo compared to the in vitro state. Proteomic analysis of in vivo phenotypes is usually not possible due to insufficient biomass. Using an in vivo growth chamber model, the pathogenic fish bacterium A. salmonicida was cultured in pure culture in vivo in its host, the Atlantic salmon, to obtain sufficient biomass to allow proteomic analysis. Growth of A. salmonicida under in vitro iron-restricted conditions resulted in the expression of outer membrane proteins of 73, 76 and 85 kDa, which were not present when grown under in vitro iron-replete conditions. Mass spectrometry analysis identified the 73 kDa protein as a colicin receptor, the 76 kDa protein as an outer membrane heme receptor, and the 85 kDa protein as a ferric siderophore receptor. When cultured in vivo, A. salmonicida up-regulated the identical 73, 76 and 85 kDa proteins. The results of this study also suggest, at least with respect to the outer membrane proteins, that the in vitro iron-restricted growth model largely reproduces the results obtained from growth of A. salmonicida within the peritoneal cavity of salmon.
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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 | 0.000 | 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 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".