Mutations in the C-Terminal Region of TraM Provide Evidence for In Vivo TraM-TraD Interactions during F-Plasmid Conjugation
Bibliographic record
Abstract
Conjugation is a major mechanism for disseminating genetic information in bacterial populations, but the signal that triggers it is poorly understood in gram-negative bacteria. F-plasmid-mediated conjugation requires TraM, a homotetramer, which binds cooperatively to three binding sites within the origin of transfer. Using in vitro assays, TraM has previously been shown to interact with the coupling protein TraD. Here we present evidence that F conjugation also requires TraM-TraD interactions in vivo. A three-plasmid system was used to select mutations in TraM that are defective for F conjugation but competent for tetramerization and cooperative DNA binding to the traM promoter region. One mutation, K99E, was particularly defective in conjugation and was further characterized by affinity chromatography and coimmunoprecipitation assays that suggested it was defective in interacting with TraD. A C-terminal deletion (S79*, where the asterisk represents a stop codon) and a missense mutation (F121S), which affects tetramerization, also reduced the affinity of TraM for TraD. We propose that the C-terminal region of TraM interacts with TraD, whereas its N-terminal domain is involved in DNA binding. This arrangement of functional domains could in part allow TraM to receive the mating signal generated by donor-recipient contact and transfer it to the relaxosome, thereby triggering DNA transfer.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".