Importance and mechanisms of<i>S</i>-adenosylmethionine and folate accumulation in sake yeast
Bibliographic record
Abstract
Sake yeasts have a range of brewing characteristics that are particularly beneficial for sake making including high ethanol fermentability, high proliferative capacity at low temperatures, lactic acid tolerance, and high ester productivity. On the other hand, sake yeasts also accumulate a diverse range of functional components. For example, significantly greater accumulation of S-adenosylmethionine (SAM), a compound that plays important regulatory roles in a range of biological processes as a major donor of methyl groups, occurs in sake yeasts compared to other microorganisms. Significantly greater accumulation of folate, a bioactive water-soluble vitamin (vitamin B9), also occurs in sake yeasts compared to laboratory yeasts, and the methyl group on SAM is supplied by folate. Accordingly, fully characterizing 'sake yeast identity' requires detailed understanding of the mechanisms underlying both the nutritional characteristics (functional components) and the brewing characteristics in sake yeasts. Therefore, this mini-review focuses on the accumulation of SAM and folate in sake yeast including descriptions of the genes known to contribute to SAM and folate accumulation and the underlying mechanisms.
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How this classification was reachedexpand
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".