Identification and expression of a host-recognized antigen, FspA, from Flavobacterium psychrophilum
Bibliographic record
Abstract
Flavobacterium psychrophilum is the aetiological agent of rainbow trout fry syndrome, an economically important disease of immature salmonid fish for which there is no vaccine. Convalescent serum from the host, rainbow trout (Oncorhynchus mykiss), reacted strongly with a approximately 20 kDa, Flavobacterium-specific protein antigen (subsequently named FspA) from F. psychrophilum. Protein-enriched, detergent-partitioned samples were separated by two-dimensional gel electrophoresis and the protein target was excised, proteolytically cleaved and the resulting peptides analysed by MS. Quadrupole-time-of-flight MS was used to generate a fragmented peptide spectrum. The resulting peptide sequences were then used to design degenerate PCR primers to amplify the gene (fspA) of interest: 612 bp encoding 203 aa, including a putative 19 aa N-terminal signal sequence which predicted a processed 19 303.6 Da protein. FspA proved to be unique and only homologous to two unspecified sequences reported from Flavobacterium johnsoniae, although weakly homologous to a Yersinia pseudotuberculosis adhesin. An amplified gene fragment (537 bp, encoding 179 aa) was further cloned into an expression vector, expressed as a approximately 30 kDa N-terminal fusion protein and found to retain its strong reactivity with host serum antibodies. These results suggest that the surface-localized FspA may be an important subunit vaccine candidate antigen against F. psychrophilum.
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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".