Embryonic temperature produces persistent effects on the capacity for thermal acclimation in adult zebrafish
Bibliographic record
Abstract
We examined how temperature during embryonic development (22, 27, or 32°C) influences the thermal dependence of swimming performance, muscle phenotype, and gene expression. Temperature treatments were maintained until hatching, after which fish were raised to adulthood at 27°C. Aerobic exercise performance (critical swimming speed) in adult fish was measured 1d after transfer to 22, 27, or 32°C and after 30d acclimation to 16 or 34°C. Developmental temperature had predictable effects on locomotor capacity, with 22°C embryos performing best at 22°C and worst at 32 and 34°C. Surprisingly, performance was ~20% higher in both 32°C and 22°C embryos than in 27°C embryos after 16°C acclimation. These findings were partially explained by differences in the transverse area of red (slow oxidative) and intermediate (fast oxidative) fibers in the axial swimming muscle. RNA‐Seq analysis of the white muscle uncovered large‐scale changes in the transcriptome after acclimation to 16°C. These data suggest that temperature change during a brief window in embryonic development can have a dramatic and persistent effect on thermal acclimation capacity. Supported by the EU‐FP7 project LIFECYCLE and NSERC of Canada.
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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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".