Methylation-sensitive amplification polymorphism analysis reveals the DNA methylation dynamics during capitulum development in <i>Chrysanthemum lavandulifolium</i>
Bibliographic record
Abstract
Chrysanthemum lavandulifolium (Fischer ex Trautv.) Makino is a diploid plant belonging to the Asteraceae family, with typical capitula composed of female ray florets and bisexual disc florets. The differentiation and development of these two types of florets have long been important research focuses; however, the potential epigenetic mechanisms governing these processes have not been elucidated. In the present study, methylation-sensitive amplification polymorphism method was used to trace the dynamic changes of DNA methylation during capitulum development in C. lavandulifolium. DNA methylation patterns and levels were detected in the whole capitula during seven developmental stages, and the obtained results revealed that DNA demethylation was dominant during this process. In addition, DNA methylation patterns and levels showed significant differences between ray and disc florets. Moreover, the expression patterns of candidate genes potentially involved in the development processes of two types of florets were analyzed by real-time quantitative reverse transcription polymerase chain reaction, and correlation analysis indicated that the expression levels of ClPI, ClAG2, ClSEP1, ClCYC2c, ClCYC2d, and ClCYC2e were highly correlated with DNA methylation levels. These results indicate that DNA methylation may be involved in the differentiation and development of ray and disc florets. This study provides epigenetic insights into the capitulum development in C. lavandulifolium.
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 | 0.000 |
| 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".