Terpene Synthases and Terpene Variation in <i>Cannabis sativa</i>
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Cannabis (Cannabis sativa) resin is the foundation of a multibillion dollar medicinal and recreational plant bioproducts industry. Major components of the cannabis resin are the cannabinoids and terpenes. Variations of cannabis terpene profiles contribute much to the different flavor and fragrance phenotypes that affect consumer preferences. A major problem in the cannabis industry is the lack of proper metabolic characterization of many of the existing cultivars, combined with sometimes incorrect cultivar labeling. We characterized foliar terpene profiles of plants grown from 32 seed sources and found large variation both within and between sets of plants labeled as the same cultivar. We selected five plants representing different cultivars with contrasting terpene profiles for clonal propagation, floral metabolite profiling, and trichome-specific transcriptome sequencing. Sequence analysis of these five cultivars and the reference genome of cv Purple Kush revealed a total of 33 different cannabis terpene synthase (CsTPS) genes, as well as variations of the CsTPS gene family and differential expression of terpenoid and cannabinoid pathway genes between cultivars. Our annotation of the cv Purple Kush reference genome identified 19 complete CsTPS gene models, and tandem arrays of isoprenoid and cannabinoid biosynthetic genes. An updated phylogeny of the CsTPS gene family showed three cannabis-specific clades, including a clade of sesquiterpene synthases within the TPS-b subfamily that typically contains mostly monoterpene synthases. The CsTPSs described and functionally characterized here include 13 that had not been previously characterized and that collectively explain a diverse range of cannabis terpenes.
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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 | 0.000 | 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 it