Ploidy Has Minimal Effect on Hypoxia Tolerance at High Temperature in Rainbow Trout (<i>Oncorhynchus mykiss</i>)
Bibliographic record
Abstract
Polyploidy is an important driver of evolutionary change (generally via tetraploidy) and also serves a practical role in aquaculture and fisheries management (via triploidy). Fundamental changes in cell size and number that accompany polyploidy are predicted to affect cellular and whole-animal physiology due to constraints placed on surface-mediated processes at the cellular level, potentially altering environmental tolerances and optima. The aim of this study was to determine whether the documented reduction in thermal tolerance of aquatic polyploids is a result of their being less hypoxia tolerant. This was assessed by holding diploid and triploid rainbow trout for 1 h above their thermal optima in separate trials at eight temperatures between 20° and 27°C and then rapidly reducing the oxygen tension (Po2) of the water and determining the nonlethal Po2 at which fish lost equilibrium. As expected, there was a highly significant (P<0.0001) effect of temperature on Po2 at loss of equilibrium. Although there was also a significant (P<0.05) effect of ploidy on Po2 at loss of equilibrium, with triploid values higher than diploid, post hoc analyses showed no significant effect of ploidy at any specific temperature. Oxygen availability alone therefore does not appear to play a major role in determining the thermal tolerance of polyploids.
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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".