Depletion of RNase HI activity in <i>Escherichia coli</i> lacking DNA topoisomerase I leads to defects in DNA supercoiling and segregation
Bibliographic record
Abstract
Gyrase-mediated hypernegative supercoiling is one manifestation of R-loop formation, a phenomenon that is normally suppressed by topoisomerase I (topA) in Escherichia coli. Overproduction of RNase HI (rnhA), an enzyme that removes the RNA moiety of R-loops, prevents hypernegative supercoiling and allows growth of topA null mutants. We previously showed that topA and rnhA null mutations are incompatible. We now report that such mutants were viable when RNase HI or topoisomerase III was expressed from a plasmid-borne gene. Surprisingly, DNA of topA null mutants became relaxed rather than hypernegatively supercoiled following depletion of RNase HI activity. This result failed to correlate with the cellular concentration of gyrase or topoisomerase IV (the other relaxing enzyme in the cell) or with transcription-induced supercoiling. Rather, intracellular DNA relaxation in the absence of RNase HI was related to inhibition of gyrase activity both in vivo and in extracts. Cells lacking topA and rnhA also exhibited properties consistent with segregation defects. Overproduction of topoisomerase III, an enzyme that can carry out DNA decatenation, corrected the segregation defects without restoring supercoiling activity. Collectively these data reveal (i) the existence of a cellular response to loss of RNase HI that counters the supercoiling activity of gyrase, and (ii) supercoiling-independent segregation defects due to loss of RNase HI from topA null mutants. Thus RNase HI plays a more central role in DNA topology than previously thought.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".