Genomic asymmetry of the <i>Brassica napus</i> seed: Epigenetic contributions of DNA methylation and small RNAs to subgenome bias
Bibliographic record
Abstract
Abstract Polyploidy has predominated the genetic history of the angiosperms, and allopolyploidy is known to have contributed to the vast speciation of flowering plants. Brassica napus , one of the world’s most important oilseeds, is one such polyploid species originating from the interspecific hybridization of Brassica rapa (A n ) and Brassica oleracea (C n ). Nascent amphidiploids must balance progenitor genomes during reproduction, though the role of epigenetic regulation in subgenome maintenance is unknown. The seed is the pivotal developmental transition into the new sporophytic generation and as such undergoes substantial epigenetic modifications. We investigated subgenome bias between the A n and C n subgenomes as well as across syntenic regions by profiling DNA methylation and siRNAs characteristic of B. napus seed development. DNA methylation and siRNA accumulation were prevalent in the C n subgenome and most pronounced early during seed morphogenesis. Hypermethylation during seed maturation was most pronounced on non-coding elements, including promoters, repetitive elements, and siRNAs. Methylation on siRNA clusters was more prevalent in syntenic regions of the C n subgenome and implies selective silencing of genomic loci of the seed. Together, we find compelling evidence for the asymmetrical epigenetic regulation of the A n and C n subgenomes of Brassica napus across seed development.
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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) | 0.001 | 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".