Cloning and functional characterization of <i>CsγTRPS</i> from <i>Coriandrum sativum</i>
Bibliographic record
Abstract
Plant terpenes are a large and diverse class of naturally‐derived compounds, highly valued in the medicinal, perfume and culinary industries, to name a few. The seeds of Coriandrum sativum (coriander) produce essential oil rich in monoterpenes, volatile C 10 terpenes. After Illumina transcriptome sequencing, several terpene synthase (TPS) candidate gene homologs were identified. In this study, one of these candidates, CsγTRPS , was cloned and functionally characterized in an effort to find TPS genes that describe C. sativum seed essential oil. CsγTRPS , which encodes a ca. 60 kDa protein, was expressed in bacteria and the recombinant protein purified by Ni‐NTA agarose affinity chromatography. Enzymatic assays with geranyl diphosphate (GPP), the linear precursor to monoterpenes, revealed that this protein catalyzes the conversion of GPP to an important monoterpene constituent of coriander essential oil, and a few minor monoterpene products. These experiments facilitate future studies concerning essential oil production, and other processes, in C. sativum . They also enable efforts to improve the essential oil of coriander through metabolic engineering or plant breeding. This project was supported by NSERC funding to Dr. Soheil Mahmoud.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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".