Error-Prone PCR Mutagenesis Reveals Functional Domains of a Bacterial Transcriptional Activator, TraJ
Bibliographic record
Abstract
TraJ is the essential activator of P(Y), the promoter of the F and F-like plasmid tra operon that encodes the majority of the proteins for bacterial conjugation. By combining error-prone PCR mutagenesis with a two-plasmid screen, we isolated 55 missense mutations in traJ, each affecting the ability of TraJ to activate P(Y). These mutations define two distinct functional clusters (amino acids [aa] 21 to 117 and aa 150 to 219). Limited proteolytic analysis of TraJ suggested that the N- and C-terminal functional clusters are two structurally distinct domains. Most TraJ mutants exhibited decreased intracellular protein levels, and the HslVU protease-chaperone pair was found to be responsible for degrading those mutants without extracytoplasmic stress-induced overexpression. In vivo cross-linking analysis of TraJ mutants indicated that the N-terminal domain is responsible for dimerization. This was confirmed by the finding that the purified N-terminal region of TraJ forms dimers in solution. The levels of dimerization and in vivo activities of TraJ mutants are well correlated, suggesting that dimerization of TraJ is required for its biological function. We propose that the regulation of TraJ dimerization and/or its susceptibility to HslVU could be a key mechanism in various signaling processes for controlling bacterial conjugation in response to physiological or environmental stimuli.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| 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".