RNase H Overproduction Corrects a Defect at the Level of Transcription Elongation during rRNA Synthesis in the Absence of DNA Topoisomerase I in Escherichia coli
Bibliographic record
Abstract
It has been suggested that the major function of DNA topoisomerase I in Escherichia coli is to suppress the formation of R-loops, which could inhibit growth. Although the currently available data suggest that the inhibitory effect of R-loops is exerted at the level of gene expression, this has never been demonstrated. In the present report, we show that rRNA synthesis is significantly impaired at the level of transcription elongation in a bacterial strain lacking DNA topoisomerase I. We found that this inhibition is due to transcriptional blocks. RNase H overproduction is also shown to considerably reduce the extent of such transcriptional blocks during rRNA synthesis. Moreover, one of these transcriptional blockage sites is located within a region where extensive R-loop formation was previously shown to occur on a plasmid DNA in the absence of DNA topoisomerase I. Together, these results allow us to propose that an important function of DNA topoisomerase I is to inhibit the formation of R-loops, which may otherwise translate into roadblocks for RNA polymerases. Our results also highlight the potential regulatory role of DNA supercoiling at the level of transcription elongation.
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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".