Local Thermal Adaptation occurs via Modulation of Mitochondrial Activity in Chinook Salmon
Bibliographic record
Abstract
Abstract Freshwater and anadromous fish have been identified as one of the most at-risk groups threatened by climate induced warming given their metabolic dependence on environmental temperature and limited ability to track favorable environmental conditions. The future of these fish will depend on their ability to adapt to new thermal regimes over biologically relevant timescales. However, the mechanistic understanding of temperature responses required to predict if adaption can keep pace with climate change is limited. To address this question, we investigated the mechanistic basis of thermal adaptation across multiple levels of biological organization in the iconic and endangered Chinook Salmon ( Oncorhynchus tshawytscha ). We uncovered a mechanistic basis of thermal adaptation centered on the thermal responsiveness of mitochondrial function which modulates the extent to which rising temperatures increase metabolic demand on the cardio-respiratory system. These insights demonstrate that the populations studied here are able to maintain high levels of physiological performance at temperatures several degrees above historic averages, indicating that the decline Chinook Salmon and failure to recover despite conservation efforts is unlikely to be due to increased temperatures as a consequence of climate change.
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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".