Changes of cytosine methylation induced by wide hybridization and allopolyploidy in<i>Cucumis</i>
Bibliographic record
Abstract
We previously demonstrated that allopolyploidization could induce phenotypic variations and genome changes in a newly synthesized allotetraploid in Cucumis. To explore the molecular involvement of epigenetic phenomena, we investigated cytosine methylation in Cucumis by using methylation-sensitive amplified polymorphism (MSAP). Results revealed a twofold difference in the level of cytosine methylation between the reciprocal F1 hybrids and the allotetraploid. Analysis of the methylation pattern indicated that methylation changed at 2.0% to 6.4% of total sites in both the F1 hybrids and the allotetraploid compared with their corresponding parents. Furthermore, 68.2% to 80.0% of the changed sites showed an increase in cytosine methylation and a majority of the methylated sites were from the maternal parent. Observations in different generations of the allotetraploid found that the extent of change in cytosine methylation pattern between the S1 and S2 was significantly higher than that between the S2 and S3, suggesting stability in advanced generations. Analysis of 7 altered sequences indicated their similarity to known functional genes or genes involved in regulating gene expression. Reverse transcription - polymerase chain reaction analysis suggested that at least two of the methylation changes might be related to gene expression changes, which further supports the hypothesis that DNA methylation plays a significant role in allopolyploidization.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".