The parallel biosynthesis routes of hyperoside from naringenin in <i>Hypericum monogynum</i>
Bibliographic record
Abstract
Abstract Hyperoside is a bioactive flavonoid galactoside in both medicinal and edible plants. It plays an important physiological role in the growth of flower buds. However, the hyperoside biosynthesis pathway has not been systematically elucidated in plants, including its original source, Hypericaceae. Our group found abundant hyperoside in the flower buds of Hypericum monogynum, and we sequenced its transcriptome to study the biosynthetic mechanism of hyperoside. After gene screening and functional verification, four kinds of key enzymes were identified. Specifically, HmF3Hs (flavanone 3-hydroxylases) and HmFLSs (flavonol synthases) could catalyze flavanones into dihydroflavonols, as well as catalyzing dihydroflavonols into flavonols. HmFLSs could also convert flavanones into flavonols and flavones with varying efficiencies. HmF3′H (flavonoid 3′-hydroxylase) was found to act broadly on 4′-hydroxyl flavonoids to produce 3′,4′-diydroxylated flavanones, dihydroflavonols, flavonols, and flavones. HmGAT (flavonoid 3-O-galactosyltransferase) would transform flavonols into the corresponding 3-O-galactosides, including hyperoside. The parallel hyperoside biosynthesis routes were thus depicted, one of which was successfully reconstructed in Escherichia coli BL21(DE3) by feeding naringenin, resulting in a hyperoside yield of 25 mg/l. Overall, this research not only helped us understand the interior catalytic mechanism of hyperoside in H. monogynum concerning flower development and bioactivity, but also provided valuable insights into these enzyme families.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".