Somatic embryogenesis in Vaccinium vitis-idaea L.: a high-fidelity micropropagation approach producing true-to-type plants with enhanced phytochemical profiles
Bibliographic record
Abstract
Abstract The “superfruit” lingonberry ( Vaccinium vitis-idaea L.) is well known for its enormous health benefits and rich phytochemical contents. However, its regeneration and propagation face significant challenges due to the woody nature of the plant and poor proliferation rates using conventional methods. By using juvenile leaf explants of two V. vitis-idaea genotypes, this study introduces a novel and efficient somatic embryogenesis (SE) protocol for lingonberry micropropagation. The berry basal medium supplemented with 5.5 µM thidiazuron was optimized for the SE protocol where 92% embryogenic callus induction was achieved. The effectiveness of plantlet regeneration was greatly increased by employing 4.0 µM zeatin. Scanning electron microscopy study and histological analyses confirmed the development, maturation, and structural integrity of somatic embryos. Clonal fidelity study between the donor and regenerated plants by expressed sequence tag-simple sequence repeat (EST-SSR) and genomic simple sequence repeat (GSSR) ensured the genetic stability and maintenance of trueness-to-type of the SE micropropagules. The SE-regenerated plants showed higher levels of flavonoids, anthocyanins, and antioxidant activity than donor plants, indicating their improved nutritional and medicinal potential. Furthermore, SE-regenerated plants possessed elevated levels of antioxidant enzymes like catalase and superoxide dismutase, which enhanced their ability to withstand stress. The findings from this study provide a scalable, reliable, and sustainable approach to lingonberry micropropagation, combining genetic fidelity with enhanced phytochemical profiles.
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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) | 0.000 | 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".