The role of F plasmid TraF and TrbB in stabilizing the conjugative apparatus
Bibliographic record
Abstract
The role of two proteins, TrbB and TraF, encoded by the F plasmid, were investigated for their ability to affect F transfer protein localization and stability using cell fractionation by sucrose gradient sedimentation and immunoblot analyses. Bacterial conjugation mediates the horizontal transfer of genetic material throughout the microbial world. The F plasmid contains a transfer region that encodes a type IV secretion system (T4SS) necessary for conjugative pilus assembly and DNA transfer. The F‐type T4SS are considerably more complex than the P‐type systems because of the properties of pilus retraction and stable mating pair formation. The proteins that are specific to F‐T4SS are TraF, ‐G (C‐terminal domain), TraH, ‐N, ‐U, ‐W, TrbB, ‐C and‐I. TraG, ‐N and ‐U are important for mating pair stabilization and the remaining proteins are required for pilus assembly and retraction. Several F‐T4SS proteins are remarkable for their high cysteine content (TraN, TraU and TraH have 22, 10 and 6 cysteines, respectively). TraF and TrbB, have thioredoxin‐folds with TrbB, but not TraF, having a characteristic CxxC motif. Previously, we have shown TrbB has DsbC‐like activity and acts as a disulfide bond isomerase since, like DsbC, it can partially complement a dsbA mutation. Whereas TrbB is not essential for conjugation, TraF is required for pilus assembly and transfer, suggesting that it has a role in construction of the T4SS conjugative pore. Using antisera to the F‐T4SS proteins we demonstrate that traF and trbB mutations affect the stability of the T4SS complex, particularly TraH and TraV.
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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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".