Characterization of transepithelial transport of salicylate by the Malpighian tubules of <i>Drosophila melanogaster</i> and the effects of changes in fluid secretion rate
Bibliographic record
Abstract
Abstract A radioisotope tracer technique is used to study mechanisms and regulation of transepithelial transport of the plant allelochemical salicylate by the Malpighian tubules of Drosophila melanogaster . Transepithelial transport of salicylate is nearly abolished in Na + ‐free saline, and inhibited by ouabain, low K + or K + ‐free bathing saline. In addition, the carboxylates probenecid, unlabelled salicylate, fluorescein, and p ‐aminohippuric acid (PAH) significantly inhibit transepithelial transport of salicylate. The sulphonates taurocholate and phenol red also inhibit transepithelial transport of salicylate, whereas amaranth has no effect. Stimulation of fluid secretion by cAMP, cGMP or leucokinin I increases transepithelial transport of salicylate, particularly when the concentration of salicylate in the bathing saline is high. The correlation between the fluid secretion rate and transepithelial transport of salicylate shows that 64% of the changes in salicylate transport can be explained on the basis of changes in fluid secretion rate. The results show that naturally‐occurring plant secondary metabolite salicylate is transported into the lumen of the Mapighian tubules of D. melanogaster by a mechanism similar to that previously described for the prototypical organic anions PAH and fluorescein. In addition, the transepithelial transport of salicylate increases in response to increases in fluid secretion rate.
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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".