Mutational Analysis of TraM Correlates Oligomerization and DNA Binding with Autoregulation and Conjugative DNA Transfer
Bibliographic record
Abstract
F plasmid TraM, an autoregulatory homotetramer, is essential for F plasmid bacterial conjugative transfer, one of the major mechanisms for horizontal gene dissemination. TraM cooperatively binds to three sites (sbmA, -B, and -C) near the origin of transfer in the F plasmid. To examine whether or not tetramerization of TraM is required for autoregulation and F conjugation, we used a two-plasmid system to screen for autoregulation-defective traM mutants generated by random PCR mutagenesis. A total of 72 missense mutations in TraM affecting autoregulation were selected, all of which also resulted in a loss of TraM function during F conjugation. Mutational analysis of TraM defined three regions important for F conjugation, including residues 3-10 (region I), 31-53 (region II), and 80-121 (region III); in addition, residues 3-47 were also important for the immunoreactivity of TraM. Biochemical analysis of mutant proteins indicated that region I defined a DNA binding domain that was not involved in tetramerization, whereas regions II and III were important for both tetramerization and efficient DNA binding. Mutations in region III affected the cooperativity of binding of TraM to sbmA, -B, and -C. Our results suggest that tetramerization is important for specific DNA binding, which, in turn, is essential for traM autoregulation and F conjugation. These findings support the hypothesis that TraM functions as a "signaling" factor that triggers DNA transport during F conjugation.
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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) | 0.001 | 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".