DNA methylation in lowbush blueberry (<i>Vaccinium angustifolium</i> Ait.) propagated by softwood cutting and tissue culture
Bibliographic record
Abstract
Plant DNA methylation is one of the frequent epigenetic variations induced by tissue culture. Global DNA methylation was evaluated in lowbush blueberry (Vaccinium angustifolium Ait.) wild clone QB9C and cultivar Fundy propagated by conventional softwood cutting (SC) and tissue culture (TC) using the methylation-sensitive amplification polymorphism (MSAP) technique. In all, 106 and 107 DNA fragments were amplified using 16 selective primer combinations in SC plants of QB9C and Fundy, respectively. In micropropagated QB9C and Fundy plants, there were 105 and 109 amplified fragments, respectively. Overall, 25% of restriction sites were methylated at the cytosine nucleotide in QB9C plants propagated by SC compared with 19% in Fundy. In contrast, a total of 29% and 20% of restriction sites were methylated at cytosine in micropropagated QB9C and Fundy plants, respectively. Tissue culture plants demonstrated higher methylation events than SC plants in both genotypes. Previously, methylation polymorphism has been detected in TC plants but not in SC counterparts. Different patterns of DNA methylation and polymorphism in the plants propagated in in vitro and in vivo conditions suggest the possibility of involvement of these fragments in the processes of regulating plant growth and development under prevailing growth conditions.
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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 | 0.000 |
| 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".