Bacterial nitrous oxide reductase expressed in transgenic plants: Evidence for sufficient anaerobicity to permit activity
Bibliographic record
Abstract
Wan, S., Goto, K., Mottiar, Y., Staebler, J. M., Johnson, A. M., Voronova, A., Blais, D. R., Zaidi, M. A. and Altosaar, I. 2012. Bacterial nitrous oxide reductase expressed in transgenic plants: Evidence for sufficient anaerobicity to permit activity. Can. J. Plant Sci. 92: 1283–1294. Soil nitrogen enrichment practices enhance crop yields but greatly exacerbate the production and release of nitrous oxide (N2O), a potent greenhouse gas. The conversion of N2O to dinitrogen (N2) in soil denitrifiers is normally driven by the anaerobic enzyme nitrous oxide reductase (N2OR). Since this step is often limited in fertilised soils, we have transferred this unique microbial biocatalyst from the soil bacterium Pseudomonas stutzeri to transgenic Nicotiana tabacum plants. Our results confirm that engineered plants expressing the N2OR structural gene nosZ are capable of producing functional reductase enzyme without the involvement of the native accessory gene products. Since bacterial N2OR normally exists in the anaerobic environment of the soil bacterium's periplasmic space, this novel in planta activity suggests that plant cells can provide a similar hypoxic refuge for anaerobic enzyme activity. Genetically engineered crops containing N2OR could have considerable potential in the phytoremediation of atmospheric N2O.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".