Bibliographic record
Abstract
Suberin is a term used to define a specific cell wall component that occurs, for example, in phellem (cork) endodermal and exodermal cells and is characterized by the deposition of both poly(phenolic) and poly(aliphatic) domains. Historically, the poly(phenolic) domain has been likened to lignin, and while there is an element of truth to this comparison, recent evidence supports an alternative view in which the poly(phenolic) domain contains a significant amount of nonlignin precursors (principally hydroxycinnamic acids and their derivatives) that are covalently linked to each other in a manner analogous to the monolignols in lignin. Similarly, the conceptual model in which the poly(aliphatic) domain of suberized tissues is represented as a random network of polyesterified, modified fatty acids and alcohols has been replaced with one comprising a three-dimensional, glycerol-bridged network. Taken together, a new model for suberin is emerging in which a hydroxycinnamic acid monolignol poly(phenolic) domain, embedded in the primary cell wall, is covalently linked to a glycerol-based poly(aliphatic) domain located between the primary cell wall and the plasma membrane. The structural and biochemical evidence supporting this new suberin paradigm are examined in this minireview, along with the presentation of a new structural model encompassing a current view of the structure of suberin.Key words: suberin, lignin, hydroxycinnamic acid, monolignol, poly(aliphatic) domain, poly(phenolic) domain, glycerol polyester.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".