Incubation temperature shapes growth and mitochondrial metabolism across embryonic development in Japanese quail
Bibliographic record
Abstract
Incubation temperature affects both growth and energy metabolism in birds after hatching. Changes in cellular mechanisms, including mitochondrial function, are a likely but unexplored explanation for these effects. To test whether temperature-dependent changes to mitochondria may link embryonic development to the post-natal phenotype, we incubated Japanese quail eggs at constant low (36.0°C), medium (37.5°C) or high (39.0°C) temperature and studied mitochondrial function and growth during embryogenesis and at hatching. Embryos grew faster and had higher mitochondrial metabolism at the high incubation temperature. Low incubation temperature slowed embryonic development and decreased phosphorylating respiration but was associated with higher adenosine triphosphate production efficiency. These respiration changes were mirrored by differences in mitochondrial content, which was the lowest in cold embryos. Neither treatment affected reactive oxygen species production. Hence, improved coupling efficiency in cold embryos may have partially compensated for lower adenosine triphosphate production without increasing oxidative stress. Size differences had disappeared by hatching. However, cold-incubated chicks had a higher mitochondrial content compared with the other groups. Our study suggests that thermal suppression of embryonic metabolism may be compensated by a combination of increased coupling, longer developmental time and late-occurring upregulation of mitochondrial content. The long-term implications of these results should be studied further.
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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".