Expression of immune markers of white sturgeon (Acipenser transmontanus) during Veronaea botryosa infection at different temperatures
Bibliographic record
Abstract
Systemic phaeohyphomycosis caused by Veronaea botryosa is one of the most important emergent diseases to affect sturgeon aquaculture in North America. White sturgeon (Acipenser transmontanus) cultured at temperatures above 15 °C are at higher risk of severe disseminated disease and higher mortalities. Despite this, little is known regarding disease pathogenesis and the immune response to infection. The objective of this study was to investigate the acute (2 days post-challenge [dpc]) and chronic (32 dpc) response of white sturgeon at 13 °C and 18 °C challenged with V. botryosa via intramuscular injection, using gene expression analysis of a diverse array of soluble immune and inflammatory mediators. Significantly greater amounts of irf8 (p < 0.05) and tfg-β (p < 0.05) genes were detected in gills of exposed fish at 18 °C when compared to those at 13 °C 32 dpc. Transcript levels of haptoglobin, serotransferrin, serum amyloid, cathelicidin, tnf-α, and il-17 were significantly increased in splenic tissues of challenged fish maintained at 18 °C late in infection (p < 0.05). However, only haptoglobin and serotransferrin transcript abundance were significantly greater in exposed fish when compared to controls 32dpc. Moreover, haptoglobin transcripts at this time point were significantly greater in exposed fish at 18 °C when compared to those challenged at 13 °C. Fewer differences were detected in fish kept at 13 °C. In agreement with transcript quantification, western blot assessment of haptoglobin showed increased levels in the challenged fish maintained at 18 °C.
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How this classification was reachedexpand
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) | 0.000 | 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 teacher head, 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".