Phenotypic and transcriptional analysis of Saccharomyces cerevisiae during wine fermentation in response to nitrogen nutrition and co-inoculation with Torulaspora delbrueckii
Abstract
Nitrogen content of grape musts strongly impacts on fermentation performance and wine metabolite production. As nitrogen is a limiting nutrient in most grape musts, nitrogen supplementation is a common practice that ensures yeast growth during fermentation. However, preferred nitrogen sources -as ammonium- repress the genes related to alternative nitrogen sources consumption, usually involved in aromatic compounds production. Here, we describe the effect of high ammonium doses in Saccharomyces cerevisiae fermentation performance and wine properties, and how it is affected by yeast co-inoculation in mixed (S. cerevisiae + Torulaspora delbrueckii) fermentations. In addition, an RNA-seq analysis allowed us to study the S. cerevisiae transcriptional response to ammonium nutrition and yeast interaction, demonstrating that T. delbrueckii presence affects the global S. cerevisiae transcriptional response, reducing ammonium effects at both phenotypic -fermentation kinetics and metabolite production- and transcriptional levels, under experimental conditions.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Torulaspora sp. seems similar to Saccharomyces cerevisiae in nitrogen source preferences.
“Torulaspora sp. seems to be similar to S. cerevisiae in the nitrogen source preferences (Ruiz et al. 2020).”
From Phosphate solubilization and indole acetic acid production by rhizosphere yeast Torulaspora globosa: improvement of culture conditions for better performance in vitro (2022) · cites this paper as Ruiz et al. 2020
Cites
Marquina, D., Santos, A., & Peinado, J. (2002) · International Microbiology · doi:10.1007/s10123-002-0066-z · Cited by 182 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Secondary Aroma: Influence of Wine Microorganisms in Their Aroma Profile
Carpena, M., Fraga-Corral, M., Otero, P., Nogueira, R. A., Garcia-Oliveira, P., Prieto, M. A., & Simal-Gandara, J. (2020) · Foods · doi:10.3390/foods10010051 · Cited by 172 · see citing works
Albertini, J., Rocha, R. K., Bastos, R. G., Ceccato-Antonini, S. R., & Rosa-Magri, M. M. (2022) · 3 Biotech · doi:10.1007/s13205-022-03322-z · Cited by 5 · see citing works
- Authors
- Ruiz, J., de Celis, M., de Toro, M., Mendes-Ferreira, A., Rauhut, D., Santos, A., & Belda, I.
- Affiliations
- Hochschule Geisenheim University (DE)
- Universidad Complutense de Madrid (ES)
- Corresponding author
- Belda, Ignacio
- Venue
- Food Research International
- Publisher
- Elsevier BV
- Published
- 2020-11
- Volume
- 137
- Pages
- 109663
- ISSN
- 0963-9969 (ISSN-L)
- OpenAlex
- W3088019866
- Cited by
- 38
- References
- 1
- Citations by year
- 2026: 6 · 2025: 7 · 2024: 11 · 2023: 4 · 2022: 5 · 2021: 4 · 2020: 1
- FWCI
- 2.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Food Research International (publishedVersion)
- PubMed (publishedVersion)
- Docta Complutense (Universidad Complutense de Madrid) (submittedVersion)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Food Science › Fermentation and Sensory Analysis
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Horticultural and Viticultural Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fungal and yeast genetics research
- Keywords
- Saccharomyces cerevisiae, Torulaspora delbrueckii, wine fermentation, nitrogen nutrition, ammonium, grape must, transcriptional response, RNA-seq, fermentation kinetics, aromatic compounds, yeast interactions
- MeSH terms
- Fermentation, Nitrogen, Saccharomyces cerevisiae, Wine, Torulaspora
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review