Arabidopsis Seed Mucilage: A Specialised Extracellular Matrix that Demonstrates the Structure–Function Versatility of Cell Wall Polysaccharides
Bibliographic record
Abstract
Abstract Arabidopsis seed coat mucilage is a specialised extracellular matrix composed of the same broad classes of polysaccharides found in a primary cell wall (cellulose, pectin, and hemicellulose), arranged in a distinct structure with special properties. It is deposited by the seed coat epidermal cells in the apoplast in a polar manner to produce a doughnut‐shaped mucilage pocket on the outside of the cell. Following exposure to water the mucilage extrudes from the outer surface of the cell. A portion of this mucilage remains strongly adherent to the seed. The unique features of mucilage make it amenable to study, and genetic, cytological, and biochemical analyses have been used to determine its composition, synthesis, and structure, and establish how these combine to determine its properties. Lessons learned from these studies strengthen and extend our understanding of plant extracellular matrices, especially the cell wall. In this article, we summarise and contextualise what is currently known about mucilage by focusing on its main features – extrusion and adherence.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".