Biosynthesis of bridged tricyclic sesquiterpenes in <i>Inula lineariifolia</i>
Bibliographic record
Abstract
Presilphiperfolane-type sesquiterpenes represent a unique group of atypical sesquiterpenoids characterized by their distinctive tricyclic structure. They have significant potential as lead compounds for pharmaceutical and agrochemical development. Herein, we utilized a transcriptomic approach to identify a terpene synthase (TPS) gene responsible for the biosynthesis of rare presilphiperfolane-type sesquiterpenes in Inula lineariifolia, designated as IlTPS1. Through phylogenetic analysis, we have identified the evolutionary conservation of key motifs, including RR(x)8W, DDxxD, and NSE/DTE in IlTPS1, which are shared with other tricyclic sesquiterpene synthases in the TPS-a subfamily of Asteraceae plants. Subsequent biochemical characterization of recombinant IlTPS1 revealed it to be a multiproduct enzyme responsible for the synthesis of various tricyclic sesquiterpene alcohols from farnesyl diphosphate (FPP), resulting in production of seven distinct sesquiterpenes. Mass spectrometry and nuclear magnetic resonance (NMR) spectrometry identified presilphiperfolan-8β-ol and presilphiperfol-7-ene as predominant products. Furthermore, biological activity assays revealed that the products from IlTPS1 exhibited a potent antifungal activity against Nigrospora oryzae. Our study represents a significant advancement as it not only functionally identifies the first step enzyme in presilphiperfolane biosynthesis but also establishes the heterologous bioproduction of these unique sesquiterpenes.
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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".