Transcriptional profiling provides insights into sublethal thermal stress thresholds in juvenile bull trout
Bibliographic record
Abstract
Bull trout ( Salvelinus confluentus) inhabit mainly cold-water streams in their Western North American range. Multiple anthropogenic stressors, including climate change, have caused population declines and range reduction, leading to classification of bull trout as threatened. Characterizing how fish respond to increasing temperature can identify key thresholds beyond which fish health is impacted, that are useful for developing species recovery strategies. Juvenile bull trout were acclimated to a range of relevant temperatures (6–21 °C), after which mRNA transcripts involved in responding to thermal stress were measured using high-throughput qPCR, and their upper thermal tolerance (critical thermal maximum, CT max ) was determined. Beyond 18 °C appears to be a critical sublethal threshold for juvenile bull trout: capacity to increase CT max through acclimation was lost, growth and survival decreased, and transcriptional data suggest widespread activation of cellular stress and growth suppression. Below 18 °C, transcriptional data suggest subtler metabolic adjustments in response to acclimation temperature, preceding changes in whole-animal performance. Altogether, these data provide insight into thermal responses in bull trout, and their capacity to cope with climate change-related warming.
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 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".