Identification of a Ribosomal L10-Like Protein from <i>Flavobacterium psychrophilum</i> as a Recombinant Vaccine Candidate for Rainbow Trout Fry Syndrome
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 it