Transcriptome landscape of the early <i>Brassica napus</i> seed
Bibliographic record
Abstract
Brassica napus L. (canola) is one of the world's most economically important oilseeds. Despite our growing knowledge of Brassica genetics, we still know little about the genes and gene regulatory networks underlying early seed development. In this work, we use laser microdissection coupled with RNA sequencing to profile gene activity of both the maternal and filial subregions of the globular seed. We find subregions of the chalazal end including the chalazal endosperm, chalazal proliferating tissue, and chalazal seed coat, have unique transcriptome profiles associated with hormone biosynthesis and polysaccharide metabolism. We confirm that the chalazal seed coat is uniquely enriched for sucrose biosynthesis and transport, and that the chalazal endosperm may function as an important regulator of the maternal region through brassinosteroid synthesis. The chalazal proliferating tissue, a poorly understood subregion, was specifically enriched in transcripts associated with megasporogenesis and trehalose biosynthesis, suggesting this ephemeral structure plays an important role in both sporophytic development and carbon nutrient balance, respectively. Finally, compartmentalization of transcription factors and their regulatory circuits has uncovered previously unknown roles for the chalazal pole in early 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".