Unique yeast histone sequences influence octamer and nucleosome stability
Bibliographic record
Abstract
Yeast nucleosomes are known to be intrinsically less stable than those from higher eukaryotes. This difference presents significant challenges for the production of yeast nucleosome core particles (NCPs) and chromatin for in vitro analyses. Using recombinant yeast, human, and chimeric histone proteins, we demonstrate that three divergent amino acids in histone H3 (Q120 K121 K125 ) are responsible for the poor reconstitution of yeast histones into octamers. This QKK motif is only found in Fungi, and is located at the nucleosome dyad axis. Yeast-to-human changes at these positions render yeast histones amenable to well-established octamer reconstitution and salt dialysis methods for generating nucleosomal and longer chromatin templates. By contrast, the most divergent yeast core histones, H2A and H2B, affect the biophysical properties of NCP but not their stability. An evolutionary analysis of H3 sequences shows that a gradual divergence in H3 sequences occurred in Fungi to yield QKK in budding yeast. This likely facilitates the highly euchromatic nature of yeast genomes. Our results provide an explanation for the long recognized difference in yeast nucleosome stability and they offer a simple method to generate yeast chromatin templates for in vitro studies.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".