Parallel analysis of global garlic gene expression and alliin content following leaf wounding
Bibliographic record
Abstract
Abstract Background Allium sativum (garlic) is both an important food and medicinal plant of economic significance. This plant is rich in sulfides, especially alliin, which is a precursor for the synthesis of allicin. At present, there are few reports on the determination of alliin content in different parts of garlic under abiotic stress. Results Our data determining the accumulation of alliin in different organs showed that the content of alliin in garlic root was the lowest level recorded, while the content of alliin within a garlic bud was the highest level determined. Further, alliin levels decreased in mature leaves following wounding. Further, transcriptomic data generated over time following wounding of mature garlic leaves showed genes integral to the biosynthetic pathways of cysteine (CYS) and serine (SER) formation were significantly up-regulated. Conclusions This differential expression could underpin the accumulation of alliin and its precursors in garlic. Thus, our results provide a platform to help elucidate the biosynthetic pathway alliin 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 | 0.001 | 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 | 0.000 |
| 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".