Transient telomere uncapping triggers telomeric and subtelomeric rearrangements
Bibliographic record
Abstract
Abstract Telomeres are nucleoprotein structures that cap the extremities of eukaryotic linear chromosomes, thus preventing them from being detected as DNA damage. Telomere uncapping poses a profound threat to genome integrity, yet the immediate consequences of transient uncapping remain unclear. In Saccharomyces cerevisiae , the Cdc13-Stn1-Ten1 complex caps telomeres and limits resection, which would otherwise lead to DNA damage checkpoint activation. Here, using the temperature-sensitive cdc13-1 allele, we demonstrate that even transient telomere uncapping induces extensive genomic rearrangements within a few cell cycles, despite a functional DNA damage checkpoint. Two distinct rearrangement signatures were observed in cells surviving transient uncapping: one characterized by the reorganization and recombination of the subtelomeric region, mostly involving the Y’ elements, and the other exhibiting massively elongated telomeres up to 10 kb, corresponding to a ∼30-fold increase. Long-read sequencing revealed that the genomic instability was confined to the subtelomere and telomere regions, and evidenced Yʹ element loss/amplification, terminal duplication of chromosome ends, and telomeric-circle-driven amplification of telomere repeats. Rearrangements unfold over multiple generations and require the homologous recombination factor Rad52 and the Polδ subunit Pol32, which is essential for break-induced replication. The recombination proteins Rad51 and Rad59 also contribute to the rearrangements in partially independent pathways. Remarkably, survivors with elongated telomeres demonstrate robust resistance to subsequent telomere uncapping, in a Rad52-dependent manner. Our findings provide novel insights into the consequences of transient telomere uncapping for genome stability, a process that might contribute to subtelomere and telomere dynamics and evolution.
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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) | 0.000 | 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) | 0.001 | 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".