Adult Phenotypic Plasticity in Thermogenesis: An Interpopulation Study using High and Low Altitude Deer Mice
Bibliographic record
Abstract
High altitude is one of the most extreme environments experienced by terrestrial mammals due to both low ambient temperatures and oxygen availability. Deer mice native to high altitude have a greater thermogenic capacity in hypoxia compared to a lowland population, likely as a consequence of both genetic adaptations and phenotypic plasticity. To understand the adaptive variation in phenotypic plasticity, F1 generation lab-reared mice were acclimated to chronic warm-hypoxia, cold-normoxia, and cold-hypoxia. Acclimation led to equal increases in thermogenic capacity in hypoxia for all stressors in high altitude deer mice. Low altitude mice also increased their thermogenic capacity after acclimation, with a distinct increase after acclimation to cold-hypoxia. The thermogenic capabilities of the high and low altitude mice tested in hypoxia were equal, suggesting that both populations of mice had reached a “metabolic ceiling”. Basal metabolic rate increased after acclimation to cold and cold-hypoxia. Nonshivering thermogenesis was not affected by acclimation or altitude ancestry. Shivering thermogenesis contributed 70 to 80 % of total heat produced during VO2summit across all acclimations, and in both populations. VO2summit in hypoxia was supported by lipids in deer mice even though carbohydrates would provide an oxygen saving advantage. Also, rates of lipid oxidation increased after acclimation to cold, and cold combined with hypoxia in the high altitude population. Together these findings suggest that the increased thermogenic capacity of the high altitude wild mice is based both on differences in phenotypic plasticity, and on differences in genotype from the low altitude mice. Adult phenotypic plasticity is pivotal in the thermogenic capabilities of both populations, and it is likely that developmental plasticity also plays an important role.
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) | 0.001 | 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) | 0.003 | 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".