Functional reconstitution of an unusual <i>Firmicutes</i> σ factor into a Gram-negative heterologous host
Bibliographic record
Abstract
Sigma (σ) factors are single-subunit proteins that reversibly bind RNA polymerase and play an important role in the transcription initiation process. An unusual 2-subunit σ factor, consisting of proteins SigO and RsoA, activates transcription from a group of related promoters in Bacillus subtilis. These 2 proteins specifically interact with each other and with RNA polymerase subunits. This system is widespread among species in several Bacillus-related genera, but otherwise appears restricted to the Firmicutes. Here, we reconstituted SigO-RsoA, and a cognate promoter, into the distantly related heterologous host Escherichia coli to examine whether this system can function in bacteria outside of the Firmicutes. We show that these proteins can productively associate with E. coli RNA polymerase and activate transcription, demonstrating that there are no structural barriers to function. In parallel, we tested a wide array of protein-protein interaction mutations and promoter mutations that impact SigO-RsoA function in both B. subtilis and E. coli and conclude that the SigO-RsoA system behaves, in most instances, similarly in both genetic backgrounds. These data raise the possibility of genetically isolating the system in this heterologous host and away from unknown B. subtilis factors that may also be playing a role in SigO-RsoA regulatory pathways, thus facilitating further study of the system. As a result of this work, we also provide a comprehensive mutational analysis of a SigO-RsoA promoter and report the preliminary identification of amino acids in SigO that play a role in mediating the SigO-RsoA protein-protein interaction.
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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) | 0.001 | 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".