A Multiphase Multiobjective Dynamic Genome-Scale Model Shows Different Redox Balancing among Yeast Species of the
            <i>Saccharomyces</i>
            Genus in Fermentation

Henriques, David; Minebois, Romain; Mendoza, Sebastián N.; Macías, Laura Graciela Chávez; Pérez‐Torrado, Roberto; Barrio, Eladio; Teusink, Bas; Querol, Amparo; Balsa‐Canto, Eva

doi:10.1128/msystems.00260-21

Cited by 29 publications

(55 citation statements)

References 70 publications

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“…Strain-dependent diversity in glycerol production may reflect different biomass composition, formation of metabolites whose formation is coupled to a net generation of NADH (e.g. acetate [ 75 ]) and/or activity of the γ-butyric acid (GABA) shunt [ 79 ]. ‘Tuning’ of in vivo activities of glycerol-3-phosphate dehydrogenase, by deletion of either GPD1 or GPD2 or by promoter engineering, has in different wild-type S. cerevisiae strain backgrounds and under different (semi-) anaerobic cultivation conditions, been shown to affect specific growth rates, glycerol and ethanol yields ( Fig.…”

Section: Engineering Of Redox Metabolismmentioning

confidence: 99%

Pathway engineering strategies for improved product yield in yeast-based industrial ethanol production

Valk

Gulik

Jansen

et al. 2022

Synthetic and Systems Biotechnology

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Product yield on carbohydrate feedstocks is a key performance indicator for industrial ethanol production with the yeast Saccharomyces cerevisiae . This paper reviews pathway engineering strategies for improving ethanol yield on glucose and/or sucrose in anaerobic cultures of this yeast by altering the ratio of ethanol production, yeast growth and glycerol formation. Particular attention is paid to strategies aimed at altering energy coupling of alcoholic fermentation and to strategies for altering redox-cofactor coupling in carbon and nitrogen metabolism that aim to reduce or eliminate the role of glycerol formation in anaerobic redox metabolism. In addition to providing an overview of scientific advances we discuss context dependency, theoretical impact and potential for industrial application of different proposed and developed strategies.

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Section: Engineering Of Redox Metabolismmentioning

confidence: 99%

Pathway engineering strategies for improved product yield in yeast-based industrial ethanol production

Valk

Gulik

Jansen

et al. 2022

Synthetic and Systems Biotechnology

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“…In fact, some strains have already been commercialized and hybrids have been generated for winemaking and the brewing industry (Gamero et al, 2013 ; Gibson et al, 2017 ). To date, information on S. uvarum metabolism has mainly focused on CCM, showing a high capacity of this species to produce glycerol and succinate, as well as an interesting system of acetate production-consumption to maintain the cryotolerant metabolism (Henriques et al, 2021 ; Minebois et al, 2020a ). The characteristics of nitrogen metabolism and its relationship with the formation of volatile compounds are not well-documented in this species, with only one study reporting a moderate impact of nitrogen availability on fermentative capacities (Su et al, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

The growth and metabolome of Saccharomyces uvarum in wine fermentations are strongly influenced by the route of nitrogen assimilation

Coral-Medina

Morrissey

Camarasa

2022

Journal of Industrial Microbiology and Biotechnology

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Nitrogen is a critical nutrient in beverage fermentations, influencing fermentation performance and formation of compounds that affect organoleptic properties of the product. Traditionally, most commercial wine fermentations rely on Saccharomyces cerevisiae but the potential of alternative yeasts is increasingly recognised because of the possibility to deliver innovative products and process improvements. In this regard, Saccharomyces uvarum is an attractive non-traditional yeast that, while quite closely related to S. cerevisiae, displays a different fermentative and aromatic profile. Although S. uvarum is used in cider-making and in some winemaking, better knowledge of its physiology and metabolism is required if its full potential is to be realised. To address this gap, we performed a comparative analysis of the response of S. uvarum and S. cerevisiae to 13 different sources of nitrogen, assessing key parameters such as growth, fermentation performance, the production of central carbon metabolites and aroma volatile compounds. We observed that the two species differ in the production of acetate, succinate, medium-chain fatty acids, phenylethanol, phenylethyl acetate and fusel/branched acids in ways that reflect different distribution of fluxes in the metabolic network. The integrated analysis revealed different patterns of yeast performance and activity linked to whether growth was on amino acids metabolised via the Ehrlich pathway or on amino acids and compounds assimilated through the central nitrogen core. This study highlights differences between the two yeasts and the importance that nitrogen metabolism can play in modulating the sensory profile of wine when using S. uvarum as the fermentative yeast.

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“… 2021 ; Henriques et al . 2021 ). Furthermore, calculated metabolic fluxes can serve as a new layer of omics, i.e.…”

Section: Applications Of Yeast Gemsmentioning

confidence: 99%

Genome-scale modeling of yeast metabolism: retrospectives and perspectives

Nielsen

2022

FEMS Yeast Research

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Yeasts have been widely used for production of bread, beer and wine as well as for production of bioethanol, but they have also been designed as cell factories to produce various chemicals, advanced biofuels and recombinant proteins. To systematically understand and rationally engineer yeast metabolism, genome-scale metabolic models (GEMs) have been reconstructed for the model yeast Saccharomyces cerevisiae and non-conventional yeasts. Here we review the historical development of yeast GEMs together with their recent applications including metabolic flux prediction, cell factory design, culture condition optimization and multi-yeast comparative analysis. Furthermore, we present an emerging effort, namely the integration of proteome constraints into yeast GEMs, resulting in models with improved performance. At last, we discuss challenges and perspectives on the development of yeast GEMs and the integration of proteome constraints.

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A Multiphase Multiobjective Dynamic Genome-Scale Model Shows Different Redox Balancing among Yeast Species of the Saccharomyces Genus in Fermentation

Cited by 29 publications

References 70 publications

Pathway engineering strategies for improved product yield in yeast-based industrial ethanol production

Pathway engineering strategies for improved product yield in yeast-based industrial ethanol production

The growth and metabolome of Saccharomyces uvarum in wine fermentations are strongly influenced by the route of nitrogen assimilation

Genome-scale modeling of yeast metabolism: retrospectives and perspectives

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