Mutations in the<i>RAD27</i>and<i>SGS1</i>genes differentially affect the chronological and replicative lifespan of yeast cells growing on glucose and glycerol
Bibliographic record
Abstract
The Sgs1 protein from Saccharomyces cerevisiae is a member of the RecQ helicases. Defects in RecQ helicases result in premature aging phenotypes in both yeasts and humans, which appear to be promoted by replicative stress. Yeast rad27 mutants also suffer from premature aging. As the human Rad27p and Sgs1p homologs interact, a similar interaction between the yeast proteins could be important for promoting longevity in S. cerevisiae. We tested the contribution of a potential interaction between Rad27p and Sgs1p to longevity by analyzing lifespan and parameters associated with longevity in rad27 and sgs1 mutants. The carbon source supporting growth also modulated longevity as evaluated by replicative and chronological lifespan measurements. Growth on glycerol promoted chronological lifespan, while maximum replicative lifespan was obtained with glucose-supported growth. In comparison to the individual mutants, the sgs1 rad27 double mutant displayed a shortened replicative lifespan and was also more sensitive to DNA-damaging agents. In addition to promoting replicative lifespan, the activity of Rad27p was critical for achieving full chronological lifespan. The rad27 mutants exhibited increased oxidative stress levels along with an elevated spontaneous mutation rate. Removal of Sgs1p activity additionally increased the oxidative stress and spontaneous mutation rate in rad27 mutants without affecting the chronological lifespan.
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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 | 0.001 | 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 | 0.000 | 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".