Estimating the Spontaneous Mutation Rate of Loss of Sex in the Human Pathogenic Fungus <i>Cryptococcus neoformans</i>
Bibliographic record
Abstract
Few events have evolutionary consequences as pervasive as changes in reproductive behavior. Among those changes, the loss of the ability to undergo sexual reproduction is probably the most profound. However, little is known about the rate of loss of sex. Here I describe an experimental system using the fungus Cryptococcus neoformans and provide the first empirical estimate of the spontaneous mutation rate of loss of sex in fungi. Two critical steps in sexual reproduction in C. neoformans were examined: mating and filamentation. Mating, the fusion of cells of opposite sexes, is a universal first step in eukaryotic sexual reproduction. In contrast, filamentation, a prerequisite process preceding meiosis and sexual spore development, is restricted to C. neoformans and a few other fungal species. After approximately 600 mitotic divisions under favorable asexual growth conditions, mean abilities for mating and filamentation decreased significantly by >67 and 24%, respectively. Similarly, though statistically not significant, the mean vegetative growth rates also decreased and among the mutation accumulation lines, the vegetative growth rates were negatively correlated to the mating ability. The estimated mutation rates to decreases in mating ability and filamentation were in excess of 0.0172 and 0.0036, respectively. The results show that C. neoformans can be a highly attractive model for analyses of reproductive system evolution in fungi.
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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".