The Iron-Responsive, GATA-Type Transcription Factor Cir1 Influences Mating in Cryptococcus neoformans
Bibliographic record
Abstract
Mating and sexual development have been associated with virulence in various fungal pathogens including Cryptococcus neoformans. This fungus is a significant pathogen of humans because it causes life-threatening cryptococcal meningitis in immunocompromised people such as AIDS patients. The virulence of C. neoformans is known to be associated with the mating type of the cells (α or a), with the α mating type being predominant among clinical isolates. However, the mechanisms by which mating and sexual development are controlled by environmental conditions and their relationship with virulence require further investigation. Cir1 is a GATA-type transcription factor that regulates the expression of genes required for utilization of essential metals such as iron and copper, and also genes required for major virulence factors including the polysaccharide capsule and melanin. Here we investigated the role of Cir1 in the mating of C. neoformans. Our results demonstrate that mutants lacking CIR1 are defective in mating, and that Cir1 contributes to copper mediated enhancement of sexual filamentation. Furthermore, we found that Cir1 influences the expression of mating pheromone genes suggesting that this protein plays a role in the early phase of sexual development on V8 mating medium.
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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".