Gene expression analysis of the mechanism of inhibition of <i>Desulfovibrio vulgaris</i> Hildenborough by nitrate‐reducing, sulfide‐oxidizing bacteria
Bibliographic record
Abstract
Sulfate-reducing bacteria (SRB) are inhibited by nitrate-reducing, sulfide-oxidizing bacteria (NR-SOB) in the presence of nitrate. This inhibition has been attributed either to an increase in redox potential or to production of nitrite by the NR-SOB. Nitrite specifically inhibits the final step in the sulfate reduction pathway. When the NR-SOB Thiomicrospira sp. strain CVO was added to mid-log phase cultures of the SRB Desulfovibrio vulgaris Hildenborough in the presence of nitrate, sulfate reduction was inhibited. Strain CVO reduced nitrate and oxidized sulfide, with transient production of nitrite. Sulfate reduction by D. vulgaris resumed once nitrite was depleted. A DNA macroarray with open reading frames encoding enzymes involved in energy metabolism of D. vulgaris was used to study the effects of NR-SOB on gene expression. Shortly following addition of strain CVO, D. vulgaris genes for cytochrome c nitrite reductase and hybrid cluster proteins Hcp1 and Hcp2 were upregulated. Genes for sulfate reduction enzymes, except those for dissimilatory sulfite reductase, were downregulated. Genes for the membrane-bound electron transferring complexes QmoABC and DsrMKJOP were downregulated and unaffected, respectively, whereas direct addition of nitrite downregulated both operons. Overall the gene expression response of D. vulgaris upon exposure to strain CVO and nitrate resembled that observed upon direct addition of nitrite, indicating that inhibition of SRB is primarily due to nitrite production by NR-SOB.
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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".