Transcriptome atlas of the Arabidopsis funiculus – a study of maternal seed subregions
Bibliographic record
Abstract
The funiculus anchors the structurally complex seed to the maternal plant, and is the only direct route of transport for nutrients and maternal signals to the seed. While our understanding of seed development is becoming clearer, current understanding of the genetics and cellular mechanisms that contribute to funiculus development is limited. Using laser microdissection combined with global RNA-profiling experiments we compared the genetic profiles of all maternal and zygotic regions and subregions during seed development. We found that the funiculus is a dynamic region of the seed that is enriched for mRNAs associated with hormone metabolism, molecular transport, and metabolic activities corresponding to biological processes that have yet to be described in this maternal seed structure. We complemented our genetic data with a complete histological analysis of the funiculus from the earliest stages of development through to seed maturation at the light and electron microscopy levels. The anatomy revealed signs of photosynthesis, the endomembrane system, cellular respiration, and transport within the funiculus, all of which supported data from the transcriptional analysis. Finally, we studied the transcriptional programming of the funiculus compared to other seed subregions throughout seed development. Using newly designed in silico algorithms, we identified a number of transcriptional networks hypothesized to be responsible for biological processes like auxin response and glucosinolate biosynthesis found specifically within the funiculus. Taken together, patterns of gene activity and histological observations reveal putative functions of the understudied funiculus region and identify predictive transcriptional circuits underlying these biological processes in space and time.
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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 | 0.001 |
| 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 | 0.001 |
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".