Complete Biosynthesis of the Anti-Diabetic Plant Metabolite Montbretin A
Bibliographic record
Abstract
Diabetes and obesity are affecting human health worldwide. Their occurrence is increasing with lifestyle choices, globalization of food systems, and economic development. The specialized plant metabolite montbretin A (MbA) is being developed as an antidiabetes and antiobesity treatment due to its potent and specific inhibition of the human pancreatic α-amylase. MbA is a complex acylated flavonol glycoside formed in small amounts in montbretia (Crocosmia × crocosmiiflora) corms during the early summer. The spatial and temporal patterns of MbA accumulation limit its supply for drug development and application. We are exploring MbA biosynthesis to enable metabolic engineering of this rare and valuable compound. Genes and enzymes for the first four steps of MbA biosynthesis, starting from the flavonol precursor myricetin, have recently been identified. Here, we describe the gene discovery and functional characterization of the final two enzymes of MbA biosynthesis. The UDP-glycosyltransferases, CcUGT4 and CcUGT5, catalyze consecutive reactions in the formation of the disaccharide moiety at the 4’-hydroxy position of the MbA flavonol core. CcUGT4 is a flavonol glycoside 4’-O-xylosyltransferase that acts on the second to last intermediate (MbA-XR2) in the pathway. CcUGT5 is a flavonol glycoside 1,4-rhamnosyltransferase that converts the final intermediate (MbA-R2) to complete the MbA molecule. Both enzymes belong to the UGT family d-clade and are specific for flavonol glycosides and their respective sugar donors. This study concludes the discovery of the MbA biosynthetic pathway and provides the complete set of genes to engineer MbA biosynthesis. We demonstrate successful reconstruction of MbA biosynthesis in Nicotiana benthamiana.
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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 | 0.001 | 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".