Identification of food deprivation in salmonids using gill biomarkers
Bibliographic record
Abstract
) may experience prolonged periods of food deprivation upon marine entry and during their first marine winter. We assessed the physiological and transcriptional consequences of food deprivation to discover and develop mRNA-based biomarkers for food deprivation in the gill of juvenile Chinook salmon. Gill and liver tissue were collected from juvenile Chinook salmon held at 16 or 8°C that were fed or food deprived for up to 56 days and during a 21-day refeeding period. Chinook salmon at 16 and 8°C were able to withstand food deprivation for periods of 35 and 56 days, respectively, with declines in body morphometrics, hepatosomatic index, insulin-like growth factor-1 and energy density observed in food-deprived individuals, followed by rapid recovery during refeeding. RNA-sequencing at the end of the food deprivation period revealed candidate biomarkers for food deprivation representing structural and functional components of the gill as well as metabolic processes like lipid storage and energy metabolism in the liver. Using the strongest 12 gill biomarkers paired with high-throughput qPCR and a random forest classification model, transcriptional signatures of food deprivation were detected within 14 to 28 days following food deprivation and persisted for at least 6 days following refeeding. These gill biomarkers can be non-lethally applied to wild juvenile salmon to answer long standing questions regarding food deprivation and the drivers of mortality during their early marine migration and overwintering.
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.
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".