Identification of a Ribosomal L10-Like Protein from <i>Flavobacterium psychrophilum</i> as a Recombinant Vaccine Candidate for Rainbow Trout Fry Syndrome
Bibliographic record
Abstract
The psychrophilic bacterium Flavobacterium psychrophilum is a rapidly emerging, virulent pathogen of a variety of commercially important finfish species, including salmonids. No vaccines against F. psychrophilum are currently available, partly due to its recalcitrant growth in vitro. Consequently, we explored the possibility of constructing recombinant vaccines in Escherichia coli as a prophylactic biotechnological strategy to counter F. psychrophilum infections. An immunoreactive clone from a F. psychrophilum expression library was found to express a approximately 16 kDa protein antigen. A proteomics approach was taken to identify the ORF encoding the approximately 16 kDa protein. Tryptic fragments of the approximately 16 kDa protein were analyzed by MALDI-TOF mass spectrometry and compared to theoretical (in silico) tryptic fragments of translated ORFs predicted within the cloned DNA. The target protein was identified as a 166 amino acid protein (named 7-166) with homology to rplJ which encodes bacterial ribosomal protein L10. Whenhighly expressed in E. coli as an N-terminal fusion protein, this chimera reacted with convalescent rainbow trout serum. When adjuvanted and administered intraperitoneally to immature rainbow trout a high level of protection (82% RPS) was afforded against virulent F. psychrophilum challenge; thus establishing F. psychrophilumrplJ homologue 7-166 as a promising vaccine candidate for RTFS.
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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) | 0.001 | 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".