Evaluation of the combined effects of manganese and thermal stress on the metabolic capacities of Arctic charr (Salvelinus alpinus)
Bibliographic record
Abstract
In Northern Canada, pollution from mining discharges represents a significant environmental stressor for aquatic organisms. Variations in water temperature constitute another source of stress for fish. Although numerous studies have investigated the effects of environmental stressors on fish physiology, research specifically addressing their impact on energy metabolism pathways remains limited. In this study, we investigated the effects of manganese (Mn), thermal acclimation, and their combination on cellular energy metabolism pathways in Arctic charr, a cold-water stenotherm. Juvenile charr were acclimatized to two contrasting temperatures (7 °C and 16 °C) for two weeks. Thereafter, half of the specimens where exposed to Mn (1 mg/L) for eight weeks. After 56 days, mortality was higher in fish acclimatized to 16 °C compared to 7 °C. Trace metal analysis performed by ICP-AES showed that bioaccumulation of Mn in gills and kidney was higher at 7 °C than at 16 °C, while the bioaccumulation of Mn in liver and muscle was not affected by temperature. Enzyme assays performed in liver and muscle showed a decrease in aerobic capacity and an increase in glycolytic capacity caused by Mn combined with a high temperature. Hepatic cytochrome C oxidase activity was significantly lower in fish acclimatized at 16 °C and exposed to Mn compared to other treatments. Hepatic citrate synthase activity showed a decrease in fish from the 16 °C and Mn treatment compared to those at 7 °C without Mn exposure. In both tissues, phosphofructokinase activity increased in fish acclimatized at 16 °C and exposed to Mn compared to both treatments at 7 °C. Hepatic lactate dehydrogenase activity was lower at 16 °C than at 7 °C in fish from the control treatment. The activity of β-hydroxyacyl-CoA dehydrogenase was unaffected by temperature or Mn. These results suggest that Mn, combined with high temperature, may affect mitochondrial function leading to a decrease in aerobic capacity. In response to the decline of cellular respiration capacity, metabolic pathways responded differently. Aerobic glycolysis was stimulated, while lipid metabolism showed no metabolic adjustment. This study represents one of the first steps towards understanding Mn toxicity in the context of climate change in a cold-water stenothermic species, and its impact on fish health and metabolism.
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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) | 0.000 | 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".