Characterization of changes in pectin methylesterase expression and pectin esterification during tomato fruit ripening
Bibliographic record
Abstract
The production, accumulation, and in situ location of pectin methylesterase (EC 3.1.11) was examined in ripening fruit of the processing tomato cv. UC82B. Pectin methylesterase detected with a monoclonal antibody (PME-1) first appeared adjacent to seeds in immature green fruit and was later detected only in tissue adjacent to the cuticle (i.e., exopericarp) during ripening. Enzyme-linked immunosorbant assay and Western blot analysis using PME-1 demonstrated that the fresh-market cultivars Celebrity and Better Boy accumulated lower levels of this immunologically detectable pectin methylesterase during maturation than did processing cv. UC82B, and that the immunologically detected pectin methylesterase and the total detectable pectin methylesterase activities of 'Celebrity' and 'Better Boy' increased throughout ripening. In contrast, processing cv. UC82B displayed a total detectable pectin methylesterase activity profile that peaked during the breaker stage, a finding supported immunologically by tissue-printing. To correlate pectin methylesterase expression during ripening to the degree of methylesterification of pectins in exopericarp cell walls, we subjected exopericarp tissue from 'UC82B' fruit to an immunocytochemical and ultrastructure study. Esterified pectin decreased in some regions of the exopericarp cell walls during fruit development but persisted in some regions as well. Less-esterified pectin was localized in the middle lamella of exopericarp cell walls during preripe stages, while in ripe fruit, this labeling was largely absent.Key words: pectin methylesterase (PME), immunocytochemistry, tissue-print, pectin esterification, Lycopersicon esculentum.
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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 | 0.001 |
| 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".