Roles of Type 1A Topoisomerases in Genome Maintenance in Escherichia coli
Bibliographic record
Abstract
In eukaryotes, type 1A topoisomerases (topos) act with RecQ-like helicases to maintain the stability of the genome. Despite having been the first type 1A enzymes to be discovered, much less is known about the involvement of the E. coli topo I (topA) and III (topB) enzymes in genome maintenance. These enzymes are thought to have distinct cellular functions: topo I regulates supercoiling and R-loop formation, and topo III is involved in chromosome segregation. To better characterize their roles in genome maintenance, we have used genetic approaches including suppressor screens, combined with microscopy for the examination of cell morphology and nucleoid shape. We show that topA mutants can suffer from growth-inhibitory and supercoiling-dependent chromosome segregation defects. These problems are corrected by deleting recA or recQ but not by deleting recJ or recO, indicating that the RecF pathway is not involved. Rather, our data suggest that RecQ acts with a type 1A topo on RecA-generated recombination intermediates because: 1-topo III overproduction corrects the defects and 2-recQ deletion and topo IIII overproduction are epistatic to recA deletion. The segregation defects are also linked to over-replication, as they are significantly alleviated by an oriC::aph suppressor mutation which is oriC-competent in topA null but not in isogenic topA+ cells. When both topo I and topo III are missing, excess supercoiling triggers growth inhibition that correlates with the formation of extremely long filaments fully packed with unsegregated and diffuse DNA. These phenotypes are likely related to replication from R-loops as they are corrected by overproducing RNase HI or by genetic suppressors of double topA rnhA mutants affecting constitutive stable DNA replication, dnaT::aph and rne::aph, which initiates from R-loops. Thus, bacterial type 1A topos maintain the stability of the genome (i) by preventing over-replication originating from oriC (topo I alone) and R-loops and (ii) by acting with RecQ.
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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".