The Bacterial Stress-Responsive Hsp90 Chaperone (HtpG) Is Required for the Production of the Genotoxin Colibactin and the Siderophore Yersiniabactin in<i>Escherichia coli</i>
Bibliographic record
Abstract
The genotoxin colibactin, synthesized by Escherichia coli, is a secondary metabolite belonging to the chemical family of hybrid polyketide/nonribosomal peptide compounds. It is produced by a complex biosynthetic assembly line encoded by the pks pathogenicity island. The presence of this large cluster of genes in the E. coli genome is invariably associated with the high-pathogenicity island, encoding the siderophore yersiniabactin, which belongs to the same chemical family as colibactin. The E. coli heat shock protein HtpG (Hsp90Ec) is the bacterial homolog of the eukaryotic molecular chaperone Hsp90, which is involved in the protection of cellular proteins against a variety of environmental stresses. In contrast to eukaryotic Hsp90, the functions and client proteins of Hsp90Ec are poorly known. Here, we demonstrated that production of colibactin and yersiniabactin is abolished in the absence of Hsp90Ec We further characterized an interplay between the Hsp90Ec molecular chaperone and the ClpQ protease involved in colibactin and yersiniabactin synthesis. Finally, we demonstrated that Hsp90Ec is required for the full in vivo virulence of extraintestinal pathogenic E. coli This is the first report highlighting the role of heat shock protein Hps90Ec in the production of two secondary metabolites involved in E. coli virulence.
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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".