Temperature, oxygen, and diet modulate gene transcription and metabolic capacities in yellow perch
Bibliographic record
Abstract
To unambiguously interpret the impacts of environmental contamination on fish condition, it is important to understand the confounding effects of natural environmental factors. In this study, we measured the effects of temperature (11, 20, and 28 °C), oxygen level, and dietary restriction on yellow perch (Perca flavescens) using biometric endpoints and enzymatic and transcriptomic endpoints in liver. Fulton’s condition factor (FCF) and pyloric cæca index were significantly correlated (Spearman’s coefficient = 0.18; p value = 0.0002) and decreased under heat stress. Both hypoxia and dietary restriction also negatively affected FCF. These changes, indicating modifications in growth and energy accumulation, were also detected at the enzymatic level. Glucose-6-phosphate dehydrogenase activity was only affected by temperature, whereas nucleoside diphosphate kinase activity decreased under hypoxic and restricted diet conditions. Temperature stress was also observed at the transcription level for genes associated with energy metabolism, oxidative stress response, and apoptosis. This study will contribute to a better understanding of the influences of natural stressors on these biomarkers of condition and metabolic capacities, which are commonly used in ecotoxicological studies.
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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".