Isolation and characterization of four ethylene signal transduction elements in plums (Prunus salicina L.)
Bibliographic record
Abstract
Plums are climacteric fruits: their ripening is associated with a burst of ethylene production and respiration rate. Stone fruits, including plum, have a distinct pattern of growth and development, described as a double sigmoid pattern. In order to understand the developmental control of ethylene perception in plum, four ethylene perception and signal transduction components (EPSTCs) were characterized, including two ETR1-like proteins (Ps-ETR1 and Ps-ERS1), a CTR1-like protein, and an ethylene-responsive element-binding factor (ERF). Their regulation was studied throughout fruit development and ripening in early and late cultivars. Analysis of transcript levels revealed that only Ps-ERF1 and Ps-ERS1 accumulated immediately after fertilization. Increases in Ps-ETR1 and Ps-CTR1 transcript levels could not be detected before S3 of fruit development. Marked differences associated with the ripening behaviour of early ('Early Golden') and late ('Shiro') Japanese plum cultivars were observed. The early cultivar showed ripening patterns typical of climacteric fruits accompanied by sharp increases of the four transcript levels in an ethylene-dependent manner. However, the late cultivar exhibited a suppressed-climacteric pattern, with a slight increase in ethylene production related to ripening. The accumulation of the Ps-ETR1 (and not Ps-CTR1) mRNA in the late cultivar was ethylene independent. Ps-ERS1 mRNA was expressed at low, constant levels, while, Ps-ERF1 remained undetectable. The differences between the two plum cultivars in the date and rate of ripening in relation to the differences in the accumulation patterns of the four mRNAs are discussed.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".