Unexpected twist: harnessing the energy in positive supercoils to control telomere resolution
Bibliographic record
Abstract
Negative DNA supercoiling is an important conformational property of bacterial DNA that plays a significant role in a wide variety of DNA transactions. In contrast, positive DNA supercoiling is a by-product of cellular processes that involve helical unwinding or movement of DNA by a fixed translocase, and has generally been considered a necessary evil requiring removal. We now report the first evidence suggesting a physiological role for positive supercoiling; this occurs in telomere resolution in the related Lyme disease and relapsing fever Borrelia spirochetes. Telomere resolution is the process whereby covalently closed hairpin telomeres are generated from replicative intermediates by the telomere resolvase, ResT. We observe a 20-fold and greater stimulation of the reaction by positive supercoiling, which facilitates formation of a previously unobserved reaction intermediate. Our data suggest the possibility that the free energy of positive supercoiling, a resource with no previously described cellular function, may be harnessed and utilized as a regulator of post-replication events.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".