Alterations in Hemolymph Ion Concentrations and pH in Adult <i>Daphnia magna</i> in Response to Elevations in Major Ion Concentrations in Freshwater
Bibliographic record
Abstract
Abstract Increases in the concentrations of major ions (Na+, K+, Ca2+, Mg2+, Cl−) in freshwater are a growing concern for ecosystem health. These increases may originate from anthropogenic activities such as road deicing, fracking spills, mining, and fertilizer application and have detrimental effects on freshwater organisms through disturbances in ionoregulation and acid–base balance. The cladoceran Daphnia magna is adapted for active ion uptake and reduction of ion loss to maintain osmotic balance, but alterations in ionic composition of the environmental water are associated with toxicity. In the present study, hemolymph ion concentrations were measured using ion-selective microelectrode techniques. Increases in the hemolymph concentrations of Na+ and K+ correspond to elevations in the concentrations of these ions in ambient water. Water concentrations associated with sustained increases in hemolymph ion concentrations correlate well with median lethal concentration values from previous toxicology studies, indicating that Na+ and K+ concentrations in hemolymph may predict toxicity. When water K+ concentration is increased, a simultaneous increase in water Na+ concentration mitigates the increase in hemolymph K+ concentration, a finding which is consistent with the reported mitigation of K+ toxicity by Na+. When ambient concentrations of K+, Na+, and Cl− are increased, not only is there a rise in hemolymph ion concentration but hemolymph pH is altered and pH regulation appears to be prioritized over regulation of hemolymph Na+, K+, and Cl− in D. magna. Environ Toxicol Chem 2021;40:366–379. © 2020 SETAC
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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 | 0.001 |
| 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".