NuA4 histone acetyltransferase activity is required for H4 acetylation on a dosage-compensated monosomic chromosome that confers resistance to fungal toxins
Bibliographic record
Abstract
BACKGROUND: The major human fungal pathogen Candida albicans possesses a diploid genome, but responds to growth in challenging environments by employing chromosome aneuploidy as an adaptation mechanism. For example, we have shown that C. albicans adapts to growth on the toxic sugar L-sorbose by transitioning to a state in which one chromosome (chromosome 5, Ch5) becomes monosomic. Moreover, analysis showed that while expression of many genes on the monosomic Ch5 is altered in accordance with the chromosome ploidy, expression of a large fraction of genes is increased to the normal diploid level, presumably compensating for gene dose. RESULTS: In order to understand the mechanism of the apparent dosage compensation, we now report genome-wide ChIP-microarray assays for a sorbose-resistant strain harboring a monosomic Ch5. These data show a significant chromosome-wide elevation in histone H4 acetylation on the mCh5, but not on any other chromosome. Importantly, strains lacking subunits of the NuA4 H4 histone acetyltransferase complex, orthologous to a complex previously shown in Drosophila to be associated with a similar gene dosage compensation mechanism, did not show an increase in H4 acetylation. Moreover, loss of NuA4 subunits severely compromised the adaptation to growth on sorbose. CONCLUSIONS: Our results are consistent with a model wherein chromosome-wide elevation of H4 acetylation mediated by the NuA4 complex plays a role in increasing gene expression in compensation for gene dose and adaption to growth in a toxic environment.
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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) | 0.002 | 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".