Identification, Evolution, and Expression Profiling of Histone Lysine Methylation Moderators in Brassica rapa
Bibliographic record
Abstract
Histone modifications, such as methylation and demethylation, are vital for regulating chromatin structure, thus affecting its expression patterns. The objective of this study is to understand the phylogenetic relationships, genomic organization, diversification of motif modules, gene duplications, co-regulatory network analysis, and expression dynamics of histone lysine methyltransferases and histone demethylase in Brassica rapa. We identified 60 SET (HKMTases), 53 JmjC, and 4 LSD (HDMases) genes in B. rapa. The domain composition analysis subcategorized them into seven and nine subgroups, respectively. Duplication analysis for paralogous pairs of SET and JmjC (eight and nine pairs, respectively) exhibited variation. Interestingly, three pairs of SET exhibited Ka/Ks > 1.00 values, signifying positive selection, whereas the remaining underwent purifying selection with values less than 1.00. Furthermore, RT-PCR validation analysis and RNA-sequence data acquired on six different tissues (i.e., leaf, stem, callus, silique, flower, and root) revealed dynamic expression patterns. This comprehensive study on the abundance, classification, co-regulatory network analysis, gene duplication, and responses to heat and cold stress of SET and JmjC provides insights into the structure and diversification of these family members in B. rapa. This study will be helpful to reveal functions of these putative SET and JmjC genes in B. rapa.
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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 | 0.001 | 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) | 0.000 | 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 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".