The Anti- <i>Burkholderia</i> Lasso Peptide Ubonodin Co-Opts the Siderophore Receptor PupB for Cellular Entry
Bibliographic record
Abstract
ABSTRACT New antibiotics are needed as bacterial infections continue to be a leading cause of death. Notorious among antibiotic-resistant bacteria is the Burkholderia cepacia complex (Bcc), which infects cystic fibrosis patients, causing lung function decline. We recently discovered a novel ribosomally synthesized and post-translationally modified peptide (RiPP), ubonodin, with potent activity against several Burkholderia pathogens. Ubonodin inhibits RNA polymerase, but only select Bcc strains were susceptible, indicating that having a conserved cellular target does not guarantee activity. Given the cytoplasmic target, we speculate that cellular uptake of ubonodin determines susceptibility. Here, we report a new outer membrane siderophore receptor, PupB, that is required for ubonodin uptake in B. cepacia . Loss of PupB renders B. cepacia resistant to ubonodin, whereas expressing PupB sensitizes a resistant strain. Thus, outer membrane transport is the major determinant of ubonodin’s spectrum of activity. We also show that PupB is activated by a TonB protein and examine a transcriptional pathway that further regulates PupB. Finally, we elucidate the complete cellular uptake pathway for ubonodin by also identifying its inner membrane transporter in B. cepacia . Our work unravels central steps in the mechanism of action of ubonodin and establishes a general framework for dissecting RiPP function.
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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) | 0.002 | 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".