Biosynthesis of the O antigen of pathogenic<i>Escherichia coli</i>O157:H7. Characterization of α1,4-Fuc-transferase WbdO
Bibliographic record
Abstract
The O157:H7 strain of Escherichia coli is responsible for frequent outbreaks of hemorrhagic colitis worldwide. Its lipopolysaccharide is a virulence factor and contains an O antigen having repeating units with the tetrasaccharide structure [2-D-PerNAcα1-3-L-Fucα1-4-D-Glcβ1-3-D-GalNAcα1-]n. Genes encoding glycosyltransferases WbdN, WbdO, and WbdP are responsible for the biosynthesis of this repeating unit. We have previously characterized the second enzyme in the pathway, WbdN, which transfers Glc in β1-3 linkage to GalNAcα-O-PO3-PO3-(CH2)11-O-Ph (GalNAc-PP-PhU). In this work, Fuc-transferase WbdO from E. coli O157:H7 expressed in BL21 bacteria was characterized using the product of WbdN as the acceptor substrate. We showed that WbdO is specific for GDP-β-L-Fuc as the donor substrate. Compounds that contained terminal Glc or Glcβ1-3GalNAc structures but lacked the diphosphate group did not serve as acceptor substrates. The structure of the WbdO product was identified by mass spectrometry and Nuclear magnetic resonance (NMR) as L-Fucα1-4-D-Glcβ1-3-D-GalNAc PP-PhU. WbdO is an unusual bivalent metal ion-dependent Fuc-transferase classified as an inverting GT2 family enzyme that has 2 conserved sequences near the N-terminus. The Asp37 residue within the 36VDGGSTD42 sequence was found to be essential for catalysis. Mutation of Asp68 to Ala within the conserved 67YDAMNK72 sequence resulted in a 3-fold increase in activity. These studies show that WbdOO157 is a highly specific Fuc-transferase with little homology to other characterized Fuc-transferases.
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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".