Effects of nitrite on ammonia-oxidizing activity and gene regulation in three ammonia-oxidizing bacteria
Bibliographic record
Abstract
Nitrite is the highly toxic end product of ammonia oxidation that accumulates in the absence of a nitrite-consuming process and is inhibitory to nitrifying and other bacteria. The effects of nitrite on ammonia oxidation rates and regulation of a common gene set were compared in three ammonia-oxidizing bacteria (AOB) to determine whether responses to this toxic metabolite were uniform. Mid-exponential-phase cells of Nitrosomonas europaea ATCC 19718, Nitrosospira multiformis ATCC 25196, and Nitrosomonas eutropha C-91 were incubated for 6 h in mineral medium supplemented with 0, 10, or 20 mM NaNO(2) . The rates of ammonia oxidation (nitrite production) decreased significantly only in NaNO(2) -supplemented incubations of N. eutropha; no significant effect on the rates was observed for N. europaea or N. multiformis. The levels of norB (nitric oxide reductases), cytL (cytochrome P460), and cytS (cytochrome c'-β) mRNA were unaffected by nitrite in all strains. The levels of nirK (nitrite reductase) mRNA increased only in N. europaea in response to nitrite (10 and 20 mM). Nitrite (20 mM) significantly reduced the mRNA levels of amoA (ammonia monooxygenase) in N. multiformis and norS (nitric oxide reductase) in the two Nitrosomonas spp. Differences in response to nitrite indicated nonuniform adaptive and regulatory strategies of AOB, even between closely related species.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".