Calcineurin contributes to RNAi-mediated transgene silencing and small interfering RNA production in the human fungal pathogen <i>Cryptococcus neoformans</i>
Bibliographic record
Abstract
Adaptation to external environmental challenges at the cellular level requires rapid responses and involves relay of information to the nucleus to drive key gene expression changes through downstream transcription factors. Here, we describe an alternative route of adaptation through a direct role for cellular signaling components in governing gene expression via RNA interference-mediated small RNA production. Calcium-calcineurin signaling is a highly conserved signaling cascade that plays central roles in stress adaptation and virulence of eukaryotic pathogens, including the human fungal pathogen Cryptococcus neoformans. Upon activation in C. neoformans, calcineurin localizes to P-bodies, membraneless organelles that are also the site for RNA processing. Here, we studied the role of calcineurin and its substrates in RNAi-mediated transgene silencing. Our results reveal that calcineurin regulates both the onset and the reversion of transgene silencing. We found that some calcineurin substrates that localize to P-bodies also regulate transgene silencing but in opposing directions. Small RNA sequencing in mutants lacking calcineurin or its targets revealed a role for calcineurin in small RNA production. Interestingly, the impact of calcineurin and its substrates was found to be different in genome-wide analysis, suggesting that calcineurin may regulate small RNA production in C. neoformans through additional pathways. Overall, these findings define a mechanism by which signaling machinery induced by external stimuli can directly alter gene expression to accelerate adaptative responses and contribute to genome defense.
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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".