Do ion‐motive pumps contribute to cold‐acclimation in <i>Drosophila</i> ?
Bibliographic record
Abstract
At low temperatures Drosophila , like most insects, lose the ability to regulate ion and water flux across the gut epithelia, which leads to a lethal accumulation of K + in the hemolymph. Cold‐acclimation can mitigate or entirely prevent these ion imbalances, but the physiological mechanisms that facilitate these plastic changes are not understood. This study assessed the activity of Na + /K + ‐ATPase (NKA), and V‐Type H + ATPase (VA) in the primary ionoregulatory tissues of Drosophila (the gut and the Malpighian tubules) to test whether modulation of their activity is a potential mechanism of cold‐acclimation. Upon adult emergence, D. melanogaster females were subjected to seven days at 25°C (warm acclimation) or 10°C (cold acclimation). Cold‐acclimation reduced the critical thermal minimum (CT min ), sped up recovery from chill coma, and improved survival following prolonged cold stress, suggesting that cold acclimation may be mitigating ion imbalance resulting from cold in our flies. We then quantified both NKA and VA activity in the hindgut, midgut, and the Malpighian tubules of warm‐ and cold‐acclimated flies. Using Ramsay assays, Malpighian tubule fluid secretion rates were compared for warm and cold acclimated flies, and the Na + and K + concentrations of secreted fluid were measured with ion‐selective microelectrodes. The scanning ion‐selective electrode technique was used to measure the Na + and K + flux across the midgut and hindgut epithelia of warm and cold acclimated flies. The effects of cold acclimation on ionomotive pump activity, Malpighian tubule function and ion fluxes across the Drosophila gut are presented. This study sheds light on the underlying physiological mechanisms that facilitate changes that mitigate the loss of ion balance upon a cold stress. Support or Funding Information NSERC Discovery Grant to Andrew DoniniBanting Postdoctoral Fellowship to Heath MacMillan
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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 | 0.001 |
| 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".