Comparative analysis of pectate lyase in relation to softening in strawberry fruits
Bibliographic record
Abstract
Strawberry fruits are perishable due to fruit softening occurring during storage and marketing, but the mechanism by which this occurs is not clear. In this study, the possible mechanism of softening is explored by comparative studies on the changes of fruit firmness, pectate lyase (PL) activities, and relative expression levels of PL genes between two strawberry cultivars. The results indicate that a method for the determination of PL activity in the strawberry fruit was established. The activity of PL was at a low level in the small green fruit to white fruit stage, and maintained at a high level in the ripening and softening stage. The PL gene was specifically expressed in fruit and mainly in the ripening stage. PL expressions were closely correlated with PL activities, and negatively related with the changes in flesh firmness. The full-length cDNA of PL genes from the two cultivars was cloned using the RACE method. Amino acid residues of C terminal sequences of the PL proteins from different species showed significant variations. Those results suggested that the differences in PL activity, gene sequence, and gene expression patterns may lead to the different roles of PL in different fruit textures of strawberries during ripening and softening.
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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 | 0.000 |
| 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".