Molecular and Biochemical Characterization of an Enzyme Responsible for the Formation of Hypericin in St. John's Wort (Hypericum perforatum L.)
Bibliographic record
Abstract
A major gene termed Hyp-1 encoding for hypericin (HyH) biosynthesis was cloned and characterized from Hypericum perforatum (St. John's wort) cell cultures. H. perforatum leaves are widely used as an herbal remedy in the treatment of mild to moderate depression. Hypericin, a photosensitive and red-colored naphthodianthrone, has been reported as the bioactive compound responsible for reversing the depression symptoms. In this study a novel red-color-based colony screening method for examining a cDNA library (lambda-TriplEX2) derived from H. perforatum cell cultures revealed the gene responsible for hypericin biosynthesis after the administration of emodin, a precursor of hypericin. The selected clones were expressed in Escherichia coli (BM 25.8 line) and were further screened for biosynthesis of emodin to hypericin, which resulted in an 84.6% conversion. The full-length cDNA sequence of Hyp-1 is 782 nucleotides in length with an open reading frame of 477 nucleotides coding for a protein of 159 amino acids, with a 45.1% homology to Bet.v.1 class allergens. Reverse transcriptase-PCR analysis showed high levels of Hyp-1 transcripts in dark-grown cell cultures compared with the levels in light-grown cell cultures and leaves. Southern blot analysis showed the presence of a single Hyp-1 gene in H. perforatum. Furthermore, Hyp-1 was expressed with a His6 affinity tag linked to its N terminal region using the expression vector pET-28a, and the recombinant Hyp-1 protein was able to convert HyH from emodin under in vitro conditions. HyH product inhibition was observed with emodin analogues, rhein, rhein methyl ester, and DNA3-55-1. Our results demonstrate a direct and complex conversion of emodin to HyH that is solely catalyzed by Hyp-1, a Bet.v.1 class allergen from H. perforatum.
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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) | 0.001 | 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 | 0.001 |
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".