Histone H3 methylation patterns in <i>Brassica nigra</i>, <i>Brassica juncea</i>, and <i>Brassica carinata</i> species
Bibliographic record
Abstract
Core histones are subjected to various post-translational modifications, and one of them, most intensively studied in plants, is the methylation of histone H3. In the majority of analyzed plant species, dimethylation of H3 at lysine 9 (H3K9me2) is detected in heterochromatin domains, whereas methylation of H3 at lysine 4 (H3K4me2) is detected in euchromatin domains. The distribution of H3K9me2 in the interphase nucleus seems to be correlated with genome size, chromatin organization, but also with tissue specificity. In this paper, we present the analysis of the pattern and level of histone H3 methylation for two allotetraploid and one diploid Brassica species. We have found that the pattern of H3K9me2 in interphase nuclei from root meristematic tissue is comparable within the analyzed species and includes both heterochromatin and euchromatin, but the level of modification differs not only among species but even among nuclei in the same phase of the cell cycle within one species. Moreover, the differences in the level of H3K9me2 are not directly coupled with DNA content in the nuclei and are probably tissue specific.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".