Overexpression of HMG-CoA synthase promotes Arabidopsis root growth and adversely affects glucosinolate biosynthesis
Bibliographic record
Abstract
3-Hydroxy-3-methylglutaryl-CoA synthase (HMGS) catalyses the second step of the mevalonate (MVA) pathway. An HMGS inhibitor (F-244) has been reported to retard growth in wheat, tobacco, and Brassica juncea, but the mechanism remains unknown. Although the effects of HMGS on downstream isoprenoid metabolites have been extensively reported, not much is known on how it might affect non-isoprenoid metabolic pathways. Here, the mechanism of F-244-mediated inhibition of primary root growth in Arabidopsis and the relationship between HMGS and non-isoprenoid metabolic pathways were investigated by untargeted SWATH-MS quantitative proteomics, quantitative real-time PCR, and target metabolite analysis. Our results revealed that the inhibition of primary root growth caused by F-244 was a consequence of reduced stigmasterol, auxin, and cytokinin levels. Interestingly, proteomic analyses identified a relationship between HMGS and glucosinolate biosynthesis. Inhibition of HMGS activated glucosinolate biosynthesis, resulting from the induction of glucosinolate biosynthesis-related genes, suppression of sterol biosynthesis-related genes, and reduction in sterol levels. In contrast, HMGS overexpression inhibited glucosinolate biosynthesis, due to down-regulation of glucosinolate biosynthesis-related genes, up-regulation of sterol biosynthesis-related genes, and increase in sterol content. Thus, HMGS might represent a target for the manipulation of glucosinolate biosynthesis, given the regulatory relationship between HMGS in the MVA pathway and glucosinolate biosynthesis.
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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".