Enhanced Mannan Production of <i>Saccharomyces cerevisiae</i> by CRISPR/Cas9 and Mannoproteins Characteristics on Wine Astringency Modulation
Bibliographic record
Abstract
Mannoproteins are critical in modulating wine astringency, yet the specific impacts of their monosaccharide ratio and side-chain structure remain insufficiently explored. This study employed CRISPR/Cas9 to engineer yeast strains producing mannoproteins with either a high mannose-to-glucose ratio (high-yield-mannan strain BSFA12) or a nonbranched N -glycan structure (BY4741-ΔMNN2). The resulting mannoproteins (MP BSFA, MP BY2 ) were compared against controls (MP BY extracted from Saccharomyces cerevisiae BY4741, a commercial product MP 60 ) using physicochemical analyses (fluorescence quenching, dynamic light scattering, and isothermal titration calorimetry) and sensory evaluation. Both engineered variants demonstrated superior astringency reduction in model and red wines. Our results establish that an increased mannose-to-glucose ratio and reduced N -glycosylation significantly enhance the astringency-mitigating effect, providing a foundation for the industrial-scale production and application of mannoprotein additives.
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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 | 0.000 | 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) | 0.000 | 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".