A second<i>tonB</i>gene in<i>Pseudomonas aeruginosa</i>is linked to the<i>exbB</i>and<i>exbD</i>genes
Bibliographic record
Abstract
The exbBD genes of Pseudomonas aeruginosa PAO were cloned by complementation of the growth defect of an Escherichia coli exbB tolQ double mutant on iron-restricted medium. Nucleotide sequence analysis confirmed that these genes are contiguous and preceded by a second tonB gene in this organism, which we have designated tonB2. lacZ promoter fusions confirmed that expression of the tonB2-exbB-exbD genes is increased under conditions of iron limitation. Deletions within any of these genes, in contrast to deletions in the first tonB gene, tonB1, did not adversely affect growth on iron-restricted medium. On the other hand, tonB1 tonB2 double mutants were more compromised as regards growth in an iron-restricted medium than a tonB1 deletion, indicating that TonB2 could partially replace TonB1 in its role in iron acquisition. TonB1 but not TonB2 deletion strains were also compromised as regards the utilization of hemin or hemoglobin as sole iron sources, indicating that heme transport requires TonB1.
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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) | 0.001 | 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 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".