Isolation of <i>FLOWERING LOCUS T</i> Gene and Analysis of Periodic Expression Level in <i>Cymbidium kanran</i>
Bibliographic record
Abstract
Cymbidium kanran , as one of the five most famous Chinese Cymbidium , has high ornamental value, and it's principal flowering period varies from October to December. In order to study the flowering-regulation, the FLOWERING LOCUS T Gene ( FT ) of C. kanran sequence was amplified, and tissue-specific expression of the gene was analyzed in the whole flowering period. The results show: (1) The ORF sequence of the FT is 531 bp in length and the gene encodes 177 amino acids, and the sequence is highly homologous to the reported cymbidium such as C. ensifolium and C. goeringii ; (2) During August to September, the expression of FT in the leaves of flowering C. kanran was 1.3 times higher than that of unflowered group, but there was no significant difference in the expression level of this gene at the other months; (3) During August to December, the expression level of FT in the flowering C. kanran pseudobulbs were 1.56, 2.46, 3.10, 2.70, and 1.42 times than that of unflowered group, respectively; (4) During flowering, the relative expression level of FT in pseudobulb of flowering C. kanran was at least 15.80 times higher than that in leaves; (5) The expression of FT in pseudobulbs were higher than that of flower stem and perianths, and slightly lower than that of primary flower bud. The above results fully show that there is an important correlation between the expression pattern of FT of the leaves and pseudobulbs in a specific period, which provides theoretical significance and application value for future research in the flowering-regulation of C. kanran and artificial flowering experiments.
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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".