<i>Plesiomonas shigelloides hugZ</i> encodes an iron-regulated heme binding protein required for heme iron utilization
Bibliographic record
Abstract
Plesiomonas shigelloides is an intestinal pathogen that uses heme as an iron source. The P. shigelloides heme utilization system consists of 10 genes, 7 of which permit heme transport and 3 of which are associated with utilization of heme as an iron source once it is inside the cell. The goal of this study was to examine hugZ, 1 of the 3 genes associated with utilization of heme iron. DPH8, a hugZ mutant, failed to grow to full cell density in media containing heme as the iron source, indicating that hugZ is required for heme iron utilization. Western blots using antibodies against Vibrio cholerae HutZ to detect the P. shigelloides HugZ indicated that hugZ encodes an iron-regulated cytoplasmic protein, which is absent in DPH8. A heme affinity bead assay performed on soluble protein fractions from P. shigelloides DPH8/pHUG24.5 (pHUG24.5 encodes hugZ) indicated that HugZ binds heme. Heme utilization was restored in DPH8 by hox1, which encodes the alpha-heme oxygenase from Synechocystis sp. strain PCC6803. However, HugZ did not exhibit alpha-heme oxygenase activity in an assay that detects the conversion of heme to the bilin functional group present in phycobiliproteins. These results do not rule out that HugZ exhibits another type of heme oxygenase activity not detected in the assay.
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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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".