IscR plays a role in oxidative stress resistance and pathogenicity of a plant pathogen, Xanthomonas campestris
Bibliographic record
Abstract
Iron-sulfur ([Fe-S]) cluster is an essential cofactor of proteins involved in various physiological processes including cellular defense against oxidative stress. In Xanthomonas campestris pv. campestris (Xcc), IscR plays a negative role in regulation of the transcription of [Fe-S] assembly genes, iscR-sufBCDS. The expression level of sufBCDS was up-regulated in an Xcc iscR mutant. In addition, the iscR promoter activity in an Xcc iscR mutant was also higher than the wild-type strain, indicating an autoregulatory circuit. Purified IscR was shown to bind at the iscR promoter region and three putative IscR binding sites were identified. The expression of iscR-suf operon was highly induced by oxidant treatments and iron limited conditions. The iscR mutant showed increased sensitivity toward hydrogen peroxide phenotype but, surprisingly, had hyper-resistant phenotype toward plumbagin compared to the wild-type strain. Most importantly, the iscR mutant was impaired in its ability to cause lesion on leaves of a compatible host plant, Chinese radish (Raphanus sativus). These results demonstrate that a transcription regulator gene, iscR, negatively regulates genes involved in [Fe-S] biosynthesis and plays a role in oxidative stress response and pathogenesis of Xcc.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".