Experimental evolution of yeast in a deteriorating environment
Bibliographic record
Abstract
The rapid pace of anthropogenic global change threatens global biodiversity and the integrity of ecosystems.It is now paramount to understand how organisms can adapt to these changes.Here, I review the literature on the genetic nature of stress responses in Drosophila and bacteria.Then I test how yeast populations adapted to a particular stressor, salt, can resist related stressors which they have not experienced in their recent past, freezing and sorbitol.We found that lines adapted to high salinity did not show increased resistance to sorbitol and freezing.Finally, again with yeast subjected to high salinity, I exposed populations to extremely stressful and continually deteriorating conditions to investigate how adaptation occurs.We found that beneficial mutations started to spread at intermediate stress intensities.We also found that larger populations adapt more rapidly to stress, both because they possess more beneficial mutations and because these mutations have a larger effect on growth.This research will help us understand how population can avoid extinction through adaptation and continues to stress the importance of maintaining large population to allow species survival in a changing environment.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".