Effect of Elevated Ammonia on Tissue Nitrogen Metabolites in the Ureotelic Gulf Toadfish (<i>Opsanus beta</i>) and the Ammoniotelic Midshipman (<i>Porichthys notatus</i>)
Bibliographic record
Abstract
We investigated possible biochemical pathways explaining extreme ammonia tolerance by the gulf toadfish and specifically tested the prediction that the gulf toadfish Opsanus beta is more tolerant than the plainfin midshipman Porichthys notatus, two confamilial species, because it reverses brain glutamine accumulation during high ammonia exposure. This prediction stems from previous studies demonstrating that gulf toadfish produce urea from glutamine, a pathway not present in the ammoniotelic midshipman. Our results show that at the same water NH(3) concentration, ammonia increases more from control levels in brains of midshipman than toadfish. After 48 h of exposure to 50% of their respective LC(50) (96 h) value for ammonia, toadfish are able to return the ammonia-induced increase in brain glutamine back to control values, reducing brain glutamine by 2,500 micromol kg(-1). However, in midshipman, brain glutamine remains significantly elevated from control throughout the experiment. Toadfish exposed to 33% of their LC(50) (96 h) showed an initial increase in whole body urea, which is then reduced at a rate of 104 micromol kg fish(-1) h(-1) and could be directly excreted into the water. We discuss how the special handling of glutamine in toadfish may explain in part their great tolerance to ammonia.
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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".