Characterization of exogenous bacterial oligosaccharyltransferases in Escherichia coli reveals the potential for O-linked protein glycosylation in Vibrio cholerae and Burkholderia thailandensis
Bibliographic record
Abstract
Bacterial protein glycosylation systems from varying species have been functionally reconstituted in Escherichia coli. Both N- and O-linked glycosylation pathways, in which the glycans are first assembled onto lipid carriers and subsequently transferred to acceptor proteins by an oligosaccharyltransferase (OTase), have been documented in bacteria. The identification and characterization of novel OTases with different properties may provide new tools for engineering glycoproteins of biotechnological interest. In the case of OTases involved in O-glycosylation (O-OTases), there is very low sequence homology between those from different bacterial species. The Wzy_C signature domain common to these enzymes is also present in WaaL ligases; enzymes involved in lipopolysaccharide biosynthesis. Therefore, the identification of O-OTases using solely bioinformatic methods is problematic. The hypothetical proteins BTH_I0650 from Burkholderia thailandensis E264 and VC0393 from Vibrio cholerae N16961 contain the Wzy_C domain. In this work, we demonstrate that both proteins have O-OTase activity and renamed them PglL(Bt) and PglL(Vc), respectively, similar to the Neisseria meningitidis counterpart (PglL(Nm)). In E. coli, PglL(Bt) and PglL(Vc) display relaxed glycan and protein specificity. However, effective glycosylation depends upon a specific combination of the protein acceptor, glycan and O-OTase analyzed. This knowledge has important implications in the design of glycoconjugates and provides novel tools for use in glycoengineering applications. The codification of enzymatically active O-OTase in the genomes of members of the Vibrio and Burkholderia genera suggests the presence of still unknown O-glycoproteins in these organisms, which might have a role in bacterial physiology or pathogenesis.
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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".