The Sulfur Chemistry of Shiitake Mushroom
Bibliographic record
Abstract
Allium herbs, such as Chinese chive, garlic, and onion, share a common sulfur biochemistry that occurs on cell breakage. Sulfoxide precursors are converted enzymatically to sulfenic acid intermediates and thence to a variety of pungent and in some cases noxious sulfur species that probably act to deter herbivores. Very similar biochemistry has been proposed to occur in shiitake mushrooms. Prior to the present work, our understanding of the sulfur biochemistry of these plants and fungi has been derived largely from conventional analysis procedures. We have used in situ sulfur K-edge X-ray absorption spectroscopy in intact and disrupted allium plants and shiitake mushroom. The expected changes in sulfur forms following cell breakage are indeed observed for the alliums, but no significant changes occur for the fungus. Thus, any changes involving the sulfur-containing compounds of shiitake mushroom following cell breakage occur to a far smaller extent than those involving allium plants, presumably reflecting the need in shiitake for action by multiple enzymes, namely a gamma-glutamyl transpeptidase and a C-S lyase. The shiitake C-S lyase occurs in far lower concentrations than the corresponding enzyme in garlic. Furthermore, cleavage of the flavorant precursor by the shiitake C-S lyase is reported to cease before cleavage of the precursor has been completed, presumably due to a product or suicide inhibition mechanism.
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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".