A mathematical model for yeast respiro-fermentative physiology

Hanegraaf, P. P. F.; Stouthamer, A. H.; Kooijman, S.A.L.M.

doi:10.1002/(sici)1097-0061(20000330)16:5<423::aid-yea541>3.0.co;2-i

Cited by 14 publications

(4 citation statements)

References 19 publications

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“…When the feed medium contained glucose as the sole carbon source, ethanol was detected when the dilution rate was higher than 0.1 h -1 . This reveals a respiro-fermentative metabolism of S. cerevisiae grown at high dilution rate or high sugar content even in aerobic cultivation with excess oxygen (Hanegraaf et al 2000). At a dilution rate higher than 0.15 h -1 , a very small amount of glycerol (<10 mg/L) was observed.…”

Section: Resultsmentioning

confidence: 98%

“…In this study, when the chemostat was operated at dilution rates of 0.15 h -1 and 0.2 h -1 , ethanol was produced in the medium as an evidence of a respiro-fermentative metabolism of S. cerevisiae , which can ferment glucose at a high dilution rate (Duntze et al 1969; Hanegraaf et al 2000; Maaheimo et al 2001). When using glucose as a carbon source in the feed medium, a high specific growth rate (corresponding to a high dilution rate) reduces the flux distribution to the pentose phosphate pathway, which might lower the NADPH concentration (Frick and Wittmann 2005).…”

Section: Discussionmentioning

confidence: 94%

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Specific growth rate and substrate dependent polyhydroxybutyrate production in Saccharomyces cerevisiae

Kocharin

Nielsen

2013

AMB Express

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Production of the biopolymer polyhydroxybutyrate (PHB) in Saccharomyces cerevisiae starts at the end of exponential phase particularly when the specific growth rate is decreased due to the depletion of glucose in the medium. The specific growth rate and the type of carbon source (fermentable/non-fermentable) have been known to influence the cell physiology and hence affect the fermentability of S. cerevisiae. The production of PHB utilizes cytosolic acetyl-CoA as a precursor and the S. cerevisiae employed in this study is therefore a strain with the enhanced cytosolic acetyl-CoA supply. Growth and PHB production at different specific growth rates were evaluated on glucose, ethanol and a mixture of glucose and ethanol as carbon source. Ethanol as carbon source yielded a higher PHB production compared to glucose since it can be directly used for cytosolic acetyl-CoA production and hence serves as a precursor for PHB production. However, this carbon source results in lower biomass yield and hence it was found that to ensure both biomass formation and PHB production a mixture of glucose and ethanol was optimal, and this resulted in the highest volumetric productivity of PHB, 8.23 mg/L · h-1, at a dilution rate of 0.1 h-1.

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Section: Resultsmentioning

confidence: 98%

Section: Discussionmentioning

confidence: 94%

Specific growth rate and substrate dependent polyhydroxybutyrate production in Saccharomyces cerevisiae

Kocharin

Nielsen

2013

AMB Express

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“…This simple set‐up has been extended into many directions to deal with particular ‘details’, e.g. changes in shape during growth (Kooijman et al 1991, White et al 2011), multiple types of food (Muller et al 2001, Kooijman et al 2004, Lorena et al 2010), reserves (Kooijman and Troost 2007, Lorena et al 2010) and structures (Leeuwen et al 2003, Kooijman 2010), additional life stages (Kooijman 2010), product formation (Kooijman 2006, Fablet et al 2011, Pecquerie et al 2012), simultaneous resource limitations (Kooijman 1998), cometabolism (Brandt et al 2003), fermentation (Hanegraaf et al 2000), ageing (Leeuwen et al 2002), metabolic acceleration (Pecquerie et al 2009, Augustine et al 2011a, Kooijman et al 2011, Kooijman 2012b), adaptation (Troost et al 2005a, b, Kooijman and Troost 2007), social interaction (Kooijman and Troost 2007, Kooijman 2009), effects of spatial structure on feeding (Brandt and Kooijman 2000), stochasticity (Kooijman et al 2007, Augustine et al 2011b), symbiosis (Kooijman et al 2003, Kooi et al 2004, Kooijman and Hengeveld 2005, Muller et al 2009), mitochondria–host interactions (Kooijman and Segel 2005).…”

Section: Metabolic Memory In the Form Of Reservementioning

confidence: 99%

Waste to hurry: dynamic energy budgets explain the need of wasting to fully exploit blooming resources

Kooijman

2013

Oikos

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A comparative study of the energetics of 165 animal species, including representatives of most large phyla and of all 13 chordate classes, reveals a very wide range of specific somatic maintenance costs, when corrected for a common temperature. While a typical value is 20 J d−1 cm−3 at 20°C, some vertebrates have values below 10 J d−1 cm−3 and some small invertebrate planktivores have values exceeding 1 kJ d−1 cm−3; the salp Thalia seems to have around 8 kJ d−1 cm−3. This wide range of values is amazing because some 80–90% of the somatic maintenance costs is generally thought to be used for the turnover of mass and animal species do not differ that much in chemical composition in terms of proteins, lipids and carbohydrates. I present theory‐based arguments to suggest that species waste resources for the purpose of remaining small, growing fast, and responding rapidly with population numbers to temporal and local food abundance.

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“…). The DEB explanation has particular, and experimentally confirmed, implications for population growth (Ratsak ; Ratsak, Maarsen & Kooijman on ciliates, Kooijman & Kooi on myxamoebae, Hanegraaf, Stouthamer & Kooijman ; Muller ; Muller et al . on yeasts, Lorena et al .…”

Section: An a Priori Respiration Calculationmentioning

confidence: 93%

Reconciling theories for metabolic scaling

Maino

Kearney

Nisbet

et al. 2013

Journal of Animal Ecology

110

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Summary1. Metabolic theory specifies constraints on the metabolic organisation of individual organisms. These constraints have important implications for biological processes ranging from the scale of molecules all the way to the level of populations, communities and ecosystems, with their application to the latter emerging as the field of metabolic ecology. While ecologists continue to use individual metabolism to identify constraints in ecological processes, the topic of metabolic scaling remains controversial. 2. Much of the current interest and controversy in metabolic theory relates to recent ideas about the role of supply networks in constraining energy supply to cells. We show that an alternative explanation for physicochemical constraints on individual metabolism, as formalised by dynamic energy budget (DEB) theory, can contribute to the theoretical underpinning of metabolic ecology, while increasing coherence between intra-and interspecific scaling relationships. 3. In particular, we emphasise how the DEB theory considers constraints on the storage and use of assimilated nutrients and derive an equation for the scaling of metabolic rate for adult heterotrophs without relying on optimisation arguments or implying cellular nutrient supply limitation. Using realistic data on growth and reproduction from the literature, we parameterise the curve for respiration and compare the a priori prediction against a mammalian data set for respiration. 4. Because the DEB theory mechanism for metabolic scaling is based on the universal process of acquiring and using pools of stored metabolites (a basal feature of life), it applies to all organisms irrespective of the nature of metabolic transport to cells. Although the DEB mechanism does not necessarily contradict insight from transport-based models, the mechanism offers an explanation for differences between the intra-and interspecific scaling of biological rates with mass, suggesting novel tests of the respective hypotheses.

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A mathematical model for yeast respiro-fermentative physiology

Cited by 14 publications

References 19 publications

Specific growth rate and substrate dependent polyhydroxybutyrate production in Saccharomyces cerevisiae

Specific growth rate and substrate dependent polyhydroxybutyrate production in Saccharomyces cerevisiae

Waste to hurry: dynamic energy budgets explain the need of wasting to fully exploit blooming resources

Reconciling theories for metabolic scaling

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