Exploring the dynamic between yeast mannoproteins structure and wine stability. Part 1: Polysaccharides part characteristics of S. cerevisiae and non-Saccharomyces mannoproteins
Bibliographic record
Abstract
A thorough characterization of the polysaccharide part of Mannoprotein Pools (MPs) from nine different yeast strains was performed to assess biosynthesis-pathways impact on mannoproteins macromolecular structure and later establish structure-function relationships regarding stabilization properties. The strains comprised one wild-type S. cerevisiae strain, its mutants ΔMnn2 and ΔMnn4 (non-ramified N-glycosylated backbone and lacking mannosyl-phosphorylation, respectively), enological Saccharomyces cerevisiae strains grown in different metabolic conditions (aerobic and anaerobic), and three non- Saccharomyces species: Hanseniaspora vineae , Torulaspora delbrueckii , and Schizosaccharomyces japonicus . Neutral sugars composition for MPs of all strains had mainly mannose but Schizosaccharomyces japonicus strain also presented approximately 33 % of galactose. MPs from non- Saccharomyces strains exhibited significant differences in glycosyl-linkage analysis, especially those from Torulaspora delbrueckii and S. japonicus strains. Global net charge analysis of MP from S. japonicus strain suggests the presence of unknown negatively charged ions. These results dismiss the general N-glycosylated and O-Mannosylated structures obtained from S. cerevisiae . HPSEC-MALLS-QELS-Viscometry analysis revealed higher intrinsic viscosity profiles ([η]xMw) of H. vineae and S. japonicus MPs than S. cerevisiae ones. Metabolic conditions also influenced S. cerevisiae MPs biosynthesis: aerobiosis produced more negatively charged ( 20C.g −1 , net charge at pH 3.5) and less compact (ρ = 2.8) MPs than anaerobiosis ( 5C.g −1 and 1.4).
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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".