Differential substrate preferences IN ACTINOBACTERIAL protein <i>O</i>-MANNOSYLTRANSFERASES and alteration of protein-<i>O</i>-MANNOSYLATION by choice of secretion pathway
Bibliographic record
Abstract
Protein-O-mannosylation (POM) is a form of O-glycosylation that is ubiquitous and has been studied extensively throughout in fungi and animals. The key glycosyltransferase, protein O-mannosyltransferase (PMT), a member of family GT-39, is also found in over 3,800 bacterial genomes but has only been minimally examined from prokaryotes. In prokaryotes POM has only been investigated in terms of pathogenicity (in Mycobacterium tuberculosis) even though there are far more non-pathogenic bacteria that appear to carry out POM. To date, there is no consensus on what benefit POM imparts to the non-pathogenic bacteria that can perform it. Through the generation of a POM deficient mutant of Corynebacterium glutamicum - a widely utilized and known protein O-mannosylating actinobacteria - this work shows that even closely related actinobacterial GT-39 s (the enzymes responsible for the initiation of POM) can have different substrate specificities for targets of POM. Moreover, presented here is evidence that POM does not only occur in a SEC-dependent manner; POM also occurs with TAT and non-SEC secreted substrates in a specific and likely tightly regulated manner. Together these results highlight the need for further biochemical characterization of POM in these and other bacterial species to help elucidate the true nature of its biological functions.
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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".