Targeted proteomics using selected reaction monitoring reveals the induction of specific terpene synthases in a multi‐level study of methyl jasmonate‐treated Norway spruce (<i>Picea abies</i>)
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Bibliographic record
Abstract
Induction of terpene synthase (TPS) gene expression and enzyme activity is known to occur in response to various chemical and biological stimuli in several species of spruce (genus Picea). However, high sequence identity between TPS family members has made it difficult to determine the induction patterns of individual TPS at the protein and transcript levels and whether specific TPS enzymes respond differentially to treatment. In the present study we used a multi-level approach to measure the induction and activity of TPS enzymes in protein extracts of Norway spruce (Picea abies) bark tissue following treatment with methyl jasmonate (MeJA). Measurements were made on the transcript, protein, enzyme activity and metabolite levels. Using a relatively new proteomics application, selective reaction monitoring (SRM), it was possible to differentiate and quantitatively measure the abundance of several known TPS proteins and three 1-deoxy-D-xylulose 5-phosphate synthase (DXS) isoforms in Norway spruce. Protein levels of individual TPS and DXS enzymes were differentially induced upon MeJA treatment and good correlation was generally observed between induction of transcripts, proteins, and enzyme activities. Most of the mono- and diterpenoid metabolites accumulated with similar temporal patterns of induction as part of the coordinated multi-compound chemical defense response. Protein and enzyme activity levels of the monoTPS (+)-3-carene synthase and the corresponding accumulation of (+)-3-carene was induced to a higher fold change than any other TPS or metabolite measured, indicating an important role in the induced terpenoid defense response in Norway spruce.
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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 | 0.001 | 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