Overexpression of an <i>APETALA1</i>-like gene from cucumber (<i>Cucumis sativus</i> L.) induces earlier flowering and abnormal leaf development in transgenic <i>Arabidopsis</i>
Bibliographic record
Abstract
MADS-box proteins are important transcription factors that play essential roles in various aspects of plant development, particularly in flower development. In this study, we performed the identification and functional characterization of CsMADS09 isolated from cucumber (Cucumis sativus L.). CsMADS09 contains a 648-bp open reading frame encoding 215 amino acid residues, and shares high sequence identities with the members of the AP1/FUL family of MADS-box proteins, especially the euAPETALA1 (euAP1) subclade. Many cis-elements related to plant development, stress response, and hormones were identified in the promoter region of CsMADS09. Quantitative real-time polymerase chain reaction results showed that CsMADS09 was mainly expressed in reproductive tissues such as male flowers and unexpanded ovaries, while its expression was low in roots and only traceable in fertilized ovaries. Moreover, the results revealed that CsMADS09 expression tended to decline during male flower development and stayed nearly constant during female flower development. Ectopic expression of CsMADS09 resulted in earlier flowering and abnormal leaf development in transgenic Arabidopsis. This study is the first functional analysis of an AP1-like gene from cucumber and provides some clues for revealing the molecular mechanisms of flower development in cucumber.
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 | 0.000 | 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".