Literature DB >> 35604565

Metabolic Modeling of Wine Fermentation at Genome Scale.

Sebastián N Mendoza1, Pedro A Saa2, Bas Teusink1, Eduardo Agosin3.   

Abstract

Wine fermentation is an ancient biotechnological process mediated by different microorganisms such as yeast and bacteria. Understanding of the metabolic and physiological phenomena taking place during this process can be now attained at a genome scale with the help of metabolic models. In this chapter, we present a detailed protocol for modeling wine fermentation using genome-scale metabolic models. In particular, we illustrate how metabolic fluxes can be computed, optimized and interpreted, for both yeast and bacteria under winemaking conditions. We also show how nutritional requirements can be determined and simulated using these models in relevant test cases. This chapter introduces fundamental concepts and practical steps for applying flux balance analysis in wine fermentation, and as such, it is intended for a broad microbiology audience as well as for practitioners in the metabolic modeling field.
© 2022. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.

Entities:  

Keywords:  Constraint-based metabolic modeling; Genome-scale network reconstruction; Metabolic flux; Oenococcus oeni; Saccharomyces cerevisiae; Wine fermentation

Mesh:

Year:  2022        PMID: 35604565     DOI: 10.1007/978-1-0716-1831-8_16

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  29 in total

1.  Biomass content governs fermentation rate in nitrogen-deficient wine musts.

Authors:  Cristian Varela; Francisco Pizarro; Eduardo Agosin
Journal:  Appl Environ Microbiol       Date:  2004-06       Impact factor: 4.792

2.  Modeling oxygen dissolution and biological uptake during pulse oxygen additions in oenological fermentations.

Authors:  Pedro A Saa; M Isabel Moenne; J Ricardo Pérez-Correa; Eduardo Agosin
Journal:  Bioprocess Biosyst Eng       Date:  2012-02-17       Impact factor: 3.210

3.  Application of synthetic biology for production of chemicals in yeast Saccharomyces cerevisiae.

Authors:  Mingji Li; Irina Borodina
Journal:  FEMS Yeast Res       Date:  2015-01-14       Impact factor: 2.796

4.  Metabolic and transcriptomic response of the wine yeast Saccharomyces cerevisiae strain EC1118 after an oxygen impulse under carbon-sufficient, nitrogen-limited fermentative conditions.

Authors:  Marcelo Orellana; Felipe F Aceituno; Alex W Slater; Leonardo I Almonacid; Francisco Melo; Eduardo Agosin
Journal:  FEMS Yeast Res       Date:  2014-02-03       Impact factor: 2.796

5.  Coupling kinetic expressions and metabolic networks for predicting wine fermentations.

Authors:  Francisco Pizarro; Cristian Varela; Cecilia Martabit; Claudio Bruno; J Ricardo Pérez-Correa; Eduardo Agosin
Journal:  Biotechnol Bioeng       Date:  2007-12-01       Impact factor: 4.530

6.  Oxygen response of the wine yeast Saccharomyces cerevisiae EC1118 grown under carbon-sufficient, nitrogen-limited enological conditions.

Authors:  Felipe F Aceituno; Marcelo Orellana; Jorge Torres; Sebastián Mendoza; Alex W Slater; Francisco Melo; Eduardo Agosin
Journal:  Appl Environ Microbiol       Date:  2012-09-21       Impact factor: 4.792

7.  Modeling of yeast metabolism and process dynamics in batch fermentation.

Authors:  Javier Sainz; Francisco Pizarro; J Ricardo Pérez-Correa; Eduardo Agosin
Journal:  Biotechnol Bioeng       Date:  2003-03-30       Impact factor: 4.530

8.  Genome-Scale Reconstruction of the Metabolic Network in Oenococcus oeni to Assess Wine Malolactic Fermentation.

Authors:  Sebastián N Mendoza; Pablo M Cañón; Ángela Contreras; Magdalena Ribbeck; Eduardo Agosín
Journal:  Front Microbiol       Date:  2017-03-30       Impact factor: 5.640

9.  A consensus S. cerevisiae metabolic model Yeast8 and its ecosystem for comprehensively probing cellular metabolism.

Authors:  Hongzhong Lu; Feiran Li; Benjamín J Sánchez; Zhengming Zhu; Gang Li; Iván Domenzain; Simonas Marcišauskas; Petre Mihail Anton; Dimitra Lappa; Christian Lieven; Moritz Emanuel Beber; Nikolaus Sonnenschein; Eduard J Kerkhoven; Jens Nielsen
Journal:  Nat Commun       Date:  2019-08-08       Impact factor: 14.919

10.  Genome evolution across 1,011 Saccharomyces cerevisiae isolates.

Authors:  Jackson Peter; Matteo De Chiara; Anne Friedrich; Jia-Xing Yue; David Pflieger; Anders Bergström; Anastasie Sigwalt; Benjamin Barre; Kelle Freel; Agnès Llored; Corinne Cruaud; Karine Labadie; Jean-Marc Aury; Benjamin Istace; Kevin Lebrigand; Pascal Barbry; Stefan Engelen; Arnaud Lemainque; Patrick Wincker; Gianni Liti; Joseph Schacherer
Journal:  Nature       Date:  2018-04-11       Impact factor: 49.962

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