Bibliographic record
Abstract
MADS-box transcription factors are known to be involved in many important processes during plant growth and development. To date, few cucumber MADS-box genes and little tissue expression profiling have been reported. Recent completion of the cucumber whole-genome sequencing has allowed genome-wide analysis of the MADS-box gene family in cucumber as well as its comparison with other species. Here, we performed comprehensive analyses of the 43 cucumber MADS-box genes and compared them with those in Arabidopsis, poplar, and grapevine. The phylogenetic analysis showed that most cucumber members were comparable with those in other species, with the exception of AG members. At the same time, the three subfamilies FLC, AGL12, and Bs were absent in the cucumber genome. The conserved motif analysis revealed that most motifs outside the MADS domain were distributed only in specific groups. The analysis of chromosomal localization suggested that tandem duplication might contribute to the MADS-box gene expansion. Expression analysis revealed that 42 of 43 cucumber MADS-box members were expressed in multiple plant tissues, thereby implying their various roles in plants.
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 | 0.001 | 0.001 |
| 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".