Wild Arctic Char (<i>Salvelinus alpinus</i>) Upregulate Gill Na<sup>+</sup>,K<sup>+</sup>‐ATPase during Freshwater Migration
Bibliographic record
Abstract
The successful acclimation of eurhyhaline fishes from seawater to freshwater requires the gills to stop actively secreting ions and start actively absorbing ions. Gill Na(+),K(+)-ATPase is known to be an integral part of the active ion secretion model of marine fishes, but its importance in the active ion uptake model of freshwater fishes is less clear. This study, conducted in the high Arctic, examines gill Na(+),K(+)-ATPase regulation in wild anadromous arctic char returning to freshwater from the ocean. Gill Na(+),K(+)-ATPase activity, protein expression, and mRNA expression of Na(+),K(+)-ATPase isoforms alpha 1a and alpha 1b were monitored in arctic char at three points along their migration route to and from Somerset Island, Nunavut, Canada: out at sea (Whaler's Point), in seawater near the river mouth (Nat's Camp), and after entering the Union River. Arctic char collected from the Union River had more than twofold greater gill Na(+),K(+)-ATPase activity. This was associated with a significant increase (threefold) in Na(+),K(+)-ATPase isoform alpha 1a mRNA expression and a significant increase in plasma sodium and osmolality levels compared with seawater char. Compared with char sampled from Whaler's Point, Na(+),K(+)-ATPase isoform alpha 1b mRNA expression was decreased by approximately 50% in char sampled at Nat's Camp and the Union River. These results suggest that the upregulation of gill Na(+),K(+)-ATPase activity is involved in freshwater acclimation of arctic char and implicate a role for Na(+),K(+)-ATPase isoform alpha 1a in this process. In addition, we discuss evidence that arctic char go through a preparatory phase, or "reverse smoltification," before entering freshwater.
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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".