The biosynthesis and biological role of 6‐deoxyheptose in the lipopolysaccharide O‐antigen of <i>Yersinia pseudotuberculosis</i>
Bibliographic record
Abstract
Yersinia pseudotuberculosis O:2a harbours 6-deoxy-d-manno-heptose in its O-antigen. The biological function of 6-deoxyheptose and its role in virulence is unknown and its biosynthetic pathway has not been demonstrated experimentally. Here, we show that dmhA and dmhB are necessary for 6-deoxyheptose biosynthesis in Y. pseudotuberculosis. Their disruption resulted in the lack of 6-deoxyheptose in the O-unit and its replacement by d-glycero-d-manno-heptose, thus indicating relaxed specificity of the glycosyltransferases, polymerase and ligase involved in lipopolysaccharide synthesis. The dmhB mutant exhibited a lower content in ketooctonic acid (Ko)-containing core molecules and reduced ligation and polymerization of the O-unit. We also show that Tyr128 is essential for activity of DmhB, and that DmhB functions as an oligomer, based on the dominant negative effect of overexpression of DmhB Y128F in dmhA. Moreover, we demonstrate that 6-deoxyheptose is important for virulence-related functions of the outer membrane and its appendages in vitro, such as barrier function against bile salts, polymyxin and novobiocin, and flagella-mediated motility. Although both mutants colonized the mouse ceacum as well as the wild type, the dmhB mutant was impaired for colonization of the liver, suggesting that DmhB represents a potential therapeutic target.
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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) | 0.000 | 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".