Abstract
Ethanol and lactate are typical waste products of glucose fermentation. In mammals, glucose is catabolized by glycolysis into circulating lactate, which is broadly used throughout the body as a carbohydrate fuel. Individual cells can both uptake and excrete lactate, uncoupling glycolysis from glucose oxidation. Here we show that similar uncoupling occurs in budding yeast batch cultures of Saccharomyces cerevisiae and Issatchenkia orientalis. Even in fermenting S. cerevisiae that is net releasing ethanol, media 13C-ethanol rapidly enters and is oxidized to acetaldehyde and acetyl-CoA. This is evident in exogenous ethanol being a major source of both cytosolic and mitochondrial acetyl units. 2H-tracing reveals that ethanol is also a major source of both NADH and NADPH high-energy electrons, and this role is augmented under oxidative stress conditions. Thus, uncoupling of glycolysis from the oxidation of glucose-derived carbon via rapidly reversible reactions is a conserved feature of eukaryotic metabolism.
Fermentation occurs widely across kingdoms, converting glucose into organic waste products1–5. In mammals, the main such product is lactate. Until recently, it was commonly assumed that the liver and kidney were special in their capacity to clear circulating lactate, reconverting the waste (lactate) into fuel (glucose). New evidence suggests, however, that most mammalian tissues take up circulating lactate and oxidize it via the tricarboxylic acid (TCA) cycle6. Indeed, it seems that most carbohydrate oxidation in mammals, rather than occurring by a tissue taking up glucose and fully oxidizing it to carbon dioxide, instead involves carbon flowing through circulating lactate as a metabolic intermediate. Thus, glycolysis is uncoupled from the TCA cycle via cellular uptake and/or excretion of lactate6. Biochemically, this occurs through the rapidly reversible reactions linking intracellular pyruvate, via lactate dehydrogenase and monocarboxylate transporters, to circulating lactate.
Baker’s yeast (S. cerevisiae) is a prototypical fermentative unicellular organism7. Its rapid catabolism of glucose into ethanol + CO2 plays a central role in human society, contributing to such diverse fields as baking, beverages and biofuels. S. cerevisiae is capable of growing aerobically on substrates including galactose, glycerol and ethanol. But when provided with ample glucose, it will ferment even in the presence of adequate oxygen, a phenomenon known as the Crabtree effect8. When glucose runs out, after a delay to rewire metabolism, aerobic growth will resume (the diauxic shift)9. Some other budding yeast, such as Issatchenkia orientalis, engage in extensive oxidative metabolism even when glucose is present (that is, are Crabtree negative) and do not show a diauxic shift but, nevertheless, secrete some ethanol. As glucose fermentation in yeast parallels aerobic glycolysis in mammals, we were curious whether it similarly involves reversible excretion and uptake of the ‘waste product’ (ethanol) rather than distinct phases of waste production and subsequent consumption. We further wondered whether any such ethanol uptake during net fermentative metabolism might contribute to yeast’s metabolic robustness.
Understanding these questions is relevant both for basic science and for bioengineering, with ethanol uptake undesirable in yeast deployed for producing ethanol as biofuel. With these motivations in mind, we show that, even when fermenting, yeasts actively exchange environmental ethanol for intracellular acetaldehyde at a sufficiently rapid rate that intracellular acetyl units come substantially from environmental ethanol, in addition to directly from glucose. Moreover, such exchange enables ethanol to be a major source of NADH and NADPH, especially under oxidative stress conditions.
Results
Fermenting baker’s yeast assimilates environmental ethanol.
Ethanol can enter and exit cells via simple diffusion10. Thus, exogenous ethanol may enter yeast, even if they are simultaneously excreting ethanol made internally from glucose. To differentiate two-carbon (2 C) units from environmental ethanol versus internal glucose catabolism, we grew yeasts in typical minimal media (yeast nitrogen base, aerated, 30 °C) with unlabeled glucose until mid-exponential phase. We then pelleted the cells and resuspended them in yeast nitrogen base containing both glucose and ethanol, whose isotopic composition was under experimental control. The glucose and ethanol concentrations in the resuspension media were selected to approximate those naturally occurring during mid-exponential S. cerevisiae growth in yeast nitrogen base with glucose as the carbon source (recognizing that by mid-exponential phase yeast will have converted a substantial amount of glucose into ethanol). Specifically, we provided glucose and ethanol at either equimolar concentrations (42 mM each, ‘equimolar’) or a 1:1 mixture based on the number of carbon atoms (28 mM glucose and 84 mM ethanol, ‘equicarbon’) (Fig. 1a).
Fig. 1 |. environmental ethanol is a major source of acetyl units in fermenting S. cerevisiae.
a, Schematic of the experimental design, in which fermenting yeast are transferred into fresh media containing both glucose and ethanol, whose isotopic composition is under experimenter control (created with BioRender). b, Approach to measuring uptake/excretion fluxes. S. cerevisiae is switched into 13C-glucose + unlabeled ethanol media, and net glucose consumption (fgluc_in) and total production of ethanol from glucose (f13C_etoh_out) are measured by 13C-NMR. The net ethanol flux (of combined labeled and unlabeled ethanol) is measured by 1H-NMR in a parallel experiment based on concentration changes of the total ethanol pool (fetoh_out_net). c, Uptake/excretion fluxes for S. cerevisiae FY4 in minimal media (YNB) with equimolar [U-13C]glucose: unlabeled ethanol (mean, s.e., n = 3 biological replicates). d, When S. cerevisiae is switched into unlabeled glucose + 13C-ethanol media, ethanol oxidation results in [M + 2] acetyl-CoA, which is detectable by LC–MS. e, The whole-cell [M + 2] acetyl-CoA fraction (mixture of cytosolic and mitochondrial origins) for S. cerevisiae FY4 in minimal media (YNB) with equimolar glucose: [U-13C]ethanol (mean, n = 3 biological replicates). f, Metabolic fluxes relevant to pyruvate and ethanol metabolism in yeast. g, 13C-metabolic flux analysis based on model in f and data in c and e. PDC flux is substantial, whereas PDH flux is below detection, signifying that acetaldehyde is the direct contributor for acetyl-CoA. High exchange flux at ADH implicates environmental ethanol as a major contributor to cellular acetaldehyde and acetyl-CoA (mean, upper bound/lower bound, n = 3 biological replicates).
We used 13C NMR to measure rates of glucose uptake (fgluc_up) and conversion to environmental ethanol via pyruvate decarboxylase (f13C_etoh_out) from the S. cerevisiae cultures with [U-13C]glucose and unlabeled ethanol (Fig. 1b and Extended Data Fig. 1). The rates measured by 13C NMR (fgluc_up and f13C_etoh_out) are similar among strains of S. cerevisiae with different respiratory capacity (FY4 and CEN.PK) and media substrate ratios (equimolar or equicarbon) (Extended Data Fig. 1a,b). In parallel, net ethanol flux was measured by 1H NMR, revealing active fermentation (that is, net ethanol excretion) (Fig. 1c).
The yeast ethanol assimilation pathway involves oxidation of ethanol to acetate, which is converted into cytosolic acetyl-CoA by acetyl-CoA synthetases11. To trace potential ethanol uptake and use, we directly measured cellular acetyl-CoA labeling distributions by liquid chromatography–mass spectrometry (LC–MS) in S. cerevisiae grown with unlabeled glucose and 13C-labeled ethanol (Fig. 1d), finding substantial labeling (more than 50%) from environmental ethanol (Fig. 1e). This high [M + 2] labeled fraction of acetyl-CoA is a steady-state measurement (Extended Data Fig. 1c) and is consistent across strains and media compositions (Extended Data Fig. 1d). In these fermenting cells, ethanol carbon did not enter glycolytic intermediates, as shown by the absence of [M + 2] labeling, consistent with gluconeogenesis being inactive (Extended Data Fig. 2).
We built a 13C metabolic flux model to estimate the reversibility of the ethanol assimilation pathway (Fig. 1f). The model was constrained by the measured glucose uptake rate, the net ethanol excretion rate, PDC flux (the flux representing gross glucose conversion to ethanol) and acetyl-CoA labeling from [U-13C]ethanol. The model confirmed low PDH and high PDC flux, as typical for fermenting S. cerevisiae (Fig. 1g). Notably, it revealed a fast exchange flux between ethanol and acetaldehyde, with ethanol a major source of acetaldehyde even though net flux is in the direction of ethanol excretion (Fig. 1g). This rapid exchange flux explains the substantial acetyl-CoA labeling from environmental ethanol (Fig. 1e).
Environmental ethanol contributes to fatty acid synthesis.
Acetyl-CoA exists as discrete cytosolic and mitochondrial pools. Fatty acid synthesis uses cytosolic acetyl-CoA (Fig. 2a); thus, fatty acid labeling selectively represents cytosolic acetyl-CoA labeling. In S. cerevisiae fed either the equimolar or equicarbon mixture of unlabeled glucose and [U-13C]ethanol, most of the carbon in newly synthesized fatty acids (that is, those containing at least some label) was from environmental ethanol (Fig. 2b and Extended Data Fig. 3).
Fig. 2 |. Environmental ethanol contributes to both cytosolic and mitochondrial acetyl-CoA in fermenting S. cerevisae.
a, When fed with labeled ethanol, the resulting 13C-labeled acetyl-CoA is incorporated into newly synthesized fatty acids. As both labeled and unlabeled cytosolic acetyl-CoA are randomly incorporated into growing fatty acid chains, the resulting fatty acid mass isotope distribution follows a binomial probability distribution. b, Fatty acid (palmitate) labeling pattern from equimolar glucose: 13C-ethanol co-feeding experiment as in Fig. 1d (mean, s.e., n = 3 biological replicates). In brief, newly synthesized fatty acids are getting labeled by [M + 2] acetyl-CoA, which is a result of 13C-ethanol uptake from growth media by S. cerevisiae. c, Cytosolic acetyl-CoA labeling fitted from fatty acid labeling from equimolar glucose: 13C-ethanol co-feeding experiment as in Fig. 1d (mean, s.e., n = 6, three biological replicates with results from both C16:0 and C18:0) and whole-cell data from Fig. 1e (mean, s.e., n = 3 biological replicates). d, Synthesis of the arginine precursor N-acetylglutamate (NAG) in S. cerevisae takes place in mitochondria (created with BioRender). A linear algebra deconvolution of the labeling fractions of glutamate and NAG can compute the mitochondrial acetyl-CoA labeling. e, Glutamate (Glu) and NAG labeling from the glucose: 13C-ethanol co-feeding experiment as in Fig. 1d, including also data for Δach1 yeast (thereby identifying Ach1 as an enzyme essential for mitochondrial assimilation of ethanol-derived carbon into acetyl-CoA) (mean, s.e., n = 3 biological replicates; ***P < .001 by two-sided t-test). In brief, given the observed highest isotopic label of Glu is [M + 2], if mitochondrial acetyl-CoA labeled [M + 2] by 13C-ethanol is uptaken by S. cerevisiae from growth media, newly synthesized NAG will be in part [M + 4]. f, Mitochondrial acetyl-CoA [M + 2] fraction fitted from glutamate and NAG labeling in e (mean, s.e., n = 3 biological replicates). WT, wild-type.
To quantify the fraction of cytosolic acetyl-CoA coming from environmental ethanol, we fit the observed fatty acid mass isotope distribution to a binomial, reflecting the fact that each 2 C unit incorporated into fat is selected stochastically, with the assumption that only labeled fatty acids are newly synthesized. The simple binomial fit well, consistent with a homogeneous environmental ethanol contribution across different cells in the population of around 60% of lipogenic acetyl-CoA (Fig. 2c). Thus, rather than being derived mainly internally by glycolysis and subsequent pyruvate catabolism, when environmental ethanol is present, cytosolic acetyl-CoA in baker’s yeast comes also from ethanol.
Environmental ethanol supplies mitochondrial acetyl-CoA.
Formation of cytosolic acetyl-CoA from acetate is catalyzed by acetyl-CoA synthetases12,13. Such synthetases are not known in yeast mitochondria. Accordingly, we were curious whether environmental ethanol could also contribute to mitochondrial acetyl-CoA. To this end, using the same tracing strategy as above, we examined whether environmental ethanol would label a metabolic product that is produced mitochondrially from acetyl-CoA, N-acetylglutamate (NAG), an intermediate in the arginine biosynthesis pathway (Fig. 2d). In S. cerevisiae fed either equimolar or equicarbon unlabeled glucose and [U-13C]ethanol, NAG was labeled both [M + 2] and [M + 4], whereas glutamate was only labeled [M + 2] (Fig. 2e and Extended Data Fig. 4). To quantitate the fraction of mitochondrial acetyl-CoA coming from environmental ethanol, we inferred mitochondrial acetyl-CoA labeling from the observed mass isotope distribution of NAG and glutamate. The calculated [M + 2] fraction of mitochondrial acetyl-CoA is around 60% (Fig. 2f), similar to cytosolic acetyl-CoA. Thus, environmental ethanol is a major source of both cytosolic and mitochondrial acetyl-CoA.
The enzyme succinyl-CoA acetate CoA transferase (Ach1) has been proposed as a potential means of generating mitochondrial acetyl-CoA from acetate in S. cerevisiae, but its physiological role has remained unproven14. Ach1 deletion completely abolished [M + 4] NAG (Fig. 2e and Extended Data Fig. 4a,b), with the inferred mitochondrial acetyl-CoA labeling zero in this deletion strain (Fig. 2f). Notably, Δach1 nevertheless has similar whole cell [M + 2] acetyl-CoA labeling from ethanol (Extended Data Fig. 4c,d), implying that only a small fraction of total cellular acetyl-CoA is mitochondrial, with Ach1 the key mitochondrial acetate assimilation enzyme.
TCA intermediates are made from environmental ethanol.
Acetyl-CoA contributes to the TCA cycle via citrate synthase (Fig. 3a). From [U-13C]ethanol tracing in fermenting S. cerevisiae, we observed [M + 2] (iso)citrate, aconitate, α-ketoglutarate and succinate. Fumarate, malate and aspartate (whose carbon skeleton comes from oxaloacetate) remained, however, largely unlabeled (Fig. 3b and Extended Data Fig. 5). The extensive labeling of succinate with limited labeling of fumarate or oxaloacetate pinpoints succinate dehydrogenase (complex II in the electron transport chain) as being functionally blocked during fermentative growth of baker’s yeast15. Instead of being made by TCA turning, oxaloacetate and malate are generated by pyruvate carboxylase, using pyruvate made from glucose. Nevertheless, acetate from environmental ethanol is assimilated into the TCA cycle and drives conversion of these four-carbon TCA intermediates into citrate, α-ketoglutarate and α-ketoglutarate’s amino acid products.
Fig. 3 |. Carbons from ethanol feed into TCA intermediates.
a, Schematic of TCA cycle highlighting observed TCA labeling from glucose: 13C-ethanol co-feeding as in Fig. 1d, where [M + 2] acetyl-CoA is a result of uptaking 13C-ethanol from growth media by S. cerevisiae (created with BioRender). 13C is in green, and 12C is in white. b, Labeling patterns of TCA intermediates for S. cerevisiae FY4 in equimolar glucose: 13C-ethanol (mean, s.e., n = 3 biological replicates). c, As in b for I. orientalis SD108. d, Concentration dependence of environmental ethanol contribution to acetyl-CoA in S. cerevisiae grown in standard glucose-rich (1% w/v) minimal media to OD = 0.1, spiked with 0.05, 0.5 or 5 mM [U13C]ethanol and harvested 1 hour later (mean, s.e., n = 3 biological replicates). e, As in d for I. orientalis.
To explore the generality of ethanol’s contributing to acetyl-CoA and, thereby, TCA intermediates in glucose-fed budding yeast, we carried out analogous experiments in I. orientalis, Crabtree-negative yeast diverged from S. cerevisiae roughly 200 million years ago. In both equimolar and equicarbon conditions, [U13C]ethanol generated [M + 2] labeled TCA intermediates to a similar extent in both yeast species (Fig. 3b,c). In I. orientalis, we also observed more heavily labeled TCA intermediates indicative of active ethanol assimilation and full TCA turning (Extended Data Fig. 5). Thus, assimilation of environmental ethanol in the presence of glucose is a feature of both Crabtree-positive and Crabtree-negative budding yeasts.
Concentration dependence of ethanol use.
Although reflecting the levels of ethanol typically found in dense fermenting yeast cultures, the equimolar and equicarbon conditions (28 mM and 42 mM ethanol, respectively) contain more ethanol than is found in many physiological environments. For example, early log-phase growth of S. cerevisiae in glucose batch culture (initial optical density of 0.1 OD grown for 1 hour) generates ethanol concentrations around 0.5 mM16,17 (Fig. 1c). At this concentration, ethanol accounts for less than 1% of carbon in the media (>99% being glucose). Nevertheless, the 13C-ethanol contributes discernibly to the cellular acetyl-CoA in S. cerevisiae and is a major source in I. orientalis (Fig. 3d,e). At 5 mM concentration, ethanol becomes a major acetyl-CoA source also in S. cerevisiae. Thus, the importance of environmental ethanol as an acetyl-CoA source depends on concentration and is substantial at ethanol levels found in moderate to dense glucose-fed yeast cultures (Extended Data Fig. 6).
Acetaldehyde oxidation feeds NADPH.
Ethanol re-assimilation has redox consequences. Ethanol conversion to acetaldehyde generates NADH. Further oxidation of acetaldehyde into acetate via aldehyde dehydrogenase generates NADPH. When the canonical main NAPDH production pathway, the oxidative pentose phosphate pathway, is deleted, the acetaldehyde dehydrogenase Ald6 is essential for yeast growth18.
To measure redox cofactor contributions from environmental ethanol, we transferred fermenting S. cerevisiae into glucose:ethanol as above, with either the glucose or the ethanol deuterated at position 1. Specifically, we compared NADH and NADPH labeling from [1-2H]glucose (the labeled hydrogen is transferred to NADPH via G6PD, encoded by gene zwf1) and [1,1-2H2]ethanol (the labeled hydrogen is transferred to NADH by ADH and to NADPH via Ald). Direct measurement of 2H-labeling in NADH and NADPH is technically challenging due to limited abundance and stability, but, nevertheless, we observed clear isotope shifts upon exposure to the 2H-labeled substrates, confirming contribution from glucose’s position 1 hydrogen to NADPH and from ethanol’s position 1 hydrogens to both NADH and NADPH (Extended Data Fig. 7a–f).
To obtain more precise and compartment-specific information, we used fatty acid labeling to read out cytosolic NADPH labeling. Fatty acid synthesis incorporates two NADPH hydrides per acetyl group (Fig. 4a)19. Strikingly, we observed greater deuterium labeling of fatty acids from [1,1-2H2]ethanol than from [1-2H]glucose (Extended Data Fig. 8). This reflects a major contribution of acetaldehyde to cytosolic NADPH via Ald6, of yet greater magnitude than the contribution of glucose-6-phosphate to cytosolic NADPH via the oxPPP (Fig. 4b,c).
Fig. 4 |. Ald6 is a major source of the cytosolic NADPh.
a, Schematic highlighting that, per acetyl-CoA, two NADPH active hydrides and one proton from H2O are incorporated into newly synthesized fatty acids. b, Cytosolic NADPH labeling (derived from fatty acid labeling and corrected for substrate labeling fraction but not H-D exchange or kinetic isotope effect) from [1,1-2H2]ethanol in wild-type S. cerevisiae and Δzwf1 strain (mean, s.e., n = 6, three biological replicates with results from both C16:0 and C18:0; ***P < .001 by two-sided t-test). c, Cytosolic NADPH labeling as in b from [1-2H]glucose in wild-type S. cerevisiae and Δald6 strain multiplied by 2 to account both G6PD and 6PGD fluxes in oxPPP (mean, s.e., n = 6, three biological replicates with results from both C16:0 and C18:0; ***p < .001 by two-sided t-test). d, Summary of data from b and c, and D2O tracing into fat shows sources of cytosolic NADPH redox-active hydrogen nucleus in wild-type S. cerevisiae FY4 (mean, s.e., n = 6, three biological replicates with results from both C16:0 and C18:0). The redox-active hydrogen nucleus, but not the associated high-energy electrons, is in a rapid H-D exchange with water, which explains the fractional contribution not accounted for by the pentose phosphate pathway and Ald6. WT, wild-type.
To convert the observed labeling into quantitative contributions to NADPH, we need to account for deuterium loss from NADPH via hydrogen–deuterium exchange with water mediated by flavin enzymes19,20. Experiments culturing cells in D2O revealed that about half of cytosolic NADPH hydrogen nuclei come from water via hydrogen–deuterium exchange. Such exchange does not account for any NADPH’s high-energy electrons but merely dilutes deuterium tracer signal from the actual hydride donors such as [1-2H]glucose or [1-2H]acetaldehyde (Extended Data Fig. 7g–i). Correcting for such exchange (and for the extent of substrate labeling), we observed that the oxPPP and Ald6 together account for most cytosolic NADPH, with the contribution of ethanol via Ald6 roughly double that of glucose via the oxidative pentose phosphate pathway (Fig. 4d).
Consistent with ethanol oxidation and oxPPP being alternative cytosolic NADPH production pathways, in Δald6, oxPPP contribution to NADPH production (based on fatty acid labeling patterns) is nearly twice as high as in wild-type (Fig. 4c and Extended Data Figs. 8a,b and 9). In Δzwf1, Ald6 contribution to NADPH production (based on fatty acid labeling patterns) similarly doubles (Fig. 4b and Extended Data Figs. 8c,d and 9). Thus, ethanol is an important source of both acetyl and hydride units in baker’s yeast.
Ethanol becomes a greater NAD(P)H source upon H2O2 stress.
We were curious whether S. cerevisiae cells might shift between glucose or ethanol as NAD(P)H sources in response to environmental conditions. To explore this possibility, we grew yeast in glucose:ethanol with one substrate 2H-labeled as above, spiked in H2O2 to a final concentration of 20 mM, and rapidly sampled metabolites and their labeling21,22 (Fig. 5a). Upon adding H2O2, the NADH concentration and NADH/NAD+ ratio fell markedly (Fig. 5b,c). Such a drop was expected, given that oxidative stress is known to oxidize the GADPH’s active site cysteine and, thereby, block glycolytic flux and NADH production23. Consistent with GAPDH being shut off, in addition to an increase of fructose-1,6-bisphosphate (FBP) (Extended Data Fig. 10), we observed increased NADH labeling from ethanol, which became the dominant NADH hydride source (Fig. 5d). Thus, ethanol catabolism is a crucial source for NADH when glycolysis is blocked by oxidative stress.
Fig. 5 |. Instead of oxPPP, ethanol oxidation provides major fraction of active hydrides in the presence of H2O2.
a, Schematic of experimental workflow of administration of H2O2 oxidative stress to yeast (S. cerevisiae FY4) cultures pre-incubated with equicarbon glucose:ethanol (created with BioRender). Temporal changes within the first 60 seconds after H2O2 shock are captured by rapid quenching of metabolism at time points of 15 seconds, 30 seconds and 60 seconds. b, NADH pool size (mean, s.e., n = 6 biological replicates, negative linear trend, P = .0016, ordinary one-way ANOVA). c, NADH:NAD+ ratio (mean, s.e., n = 6 biological replicates, negative linear trend, P = .0006, ordinary one-way ANOVA). d, NADH active hydride labeling from [1,1-2H2] ethanol (orange) and [1-2H]glucose (gray) (mean, s.e., n = 3 biological replicates, P = .011(*), two-tailed paired t-test). Increase in the NADH active hydride labeling from labeled ethanol is statistically significant (positive linear trend, P < 0.001, ordinary one-way ANOVA). e, NADPH pool size (mean, s.e., n = 6 biological replicates). f, NADPH:NADP+ ratio (mean, s.e.m., n = 6 biological replicates). g, NADPH active hydride labeling from [1,1-2H2]ethanol (orange) and [1-2H]glucose (gray) (mean, s.e., n = 3 biological replicates, P = .02, two-tailed paired t-test). Increase in the NADPH active hydride labeled by ethanol is statistically significant (positive linear trend, P < .001, ordinary one-way ANOVA).
A classical rationale for glycolytic blockade by oxidative stress is to divert flux into the oxidative pentose phosphate pathway to help maintain NADPH homeostasis. The same concentration of hydrogen peroxide that markedly suppressed NADH had no overt effect on NADPH pool size or the NADPH:NADP+ ratio (Fig. 5e,f). However, rather than increasing the fractional oxidative pentose phosphate pathway contribution to NADPH as measured by [1-2H]glucose, this contribution was decreased, with ethanol’s fractional contribution to NADPH markedly increased (Fig. 5g). Thus, in contrast to the common assumption that the predominant NADPH production route during oxidative stress is the oxidative pentose phosphate pathway, we observe a substantial and augmented NADPH contribution from ethanol oxidation under H2O2 stress18,24.
Discussion
A fundamental metabolic question is, ‘Which pathways are coupled versus independent?’ Here we present evidence that uncoupling of glycolysis from the TCA cycle is an evolutionarily conserved design principle in eukaryotic metabolism. Specifically, we show that fermenting budding yeast simultaneously release and uptake ethanol, much as many mammalian cells simultaneously produce and consume circulating lactate. Both lactate and ethanol are redox-balanced with glucose25. Thus, their release allows glycolysis to run without need for the TCA cycle or oxidative phosphorylation. Release of these electron-rich products anticorrelates with internal NADH consumption by the electron transport chain26 and can be suppressed by inducing synthesis pathways of other electron-rich molecules such as fats27.
Although the net release of ethanol by fermenting yeast has been long appreciated, we are unaware of prior demonstration that fermenting yeast cultures simultaneously engage in extensive ethanol uptake. Through experiments with 13C-ethanol, we show that, under typical mid-exponential fermentative growth conditions, environmental ethanol, rather than mitochondrial pyruvate catabolism, supplies a majority of both cytosolic and mitochondrial acetyl-CoA. This observation aligns with prior literature finding that, when [U13C]glucose is spiked into fermenting yeast cultures (which naturally contain ethanol), acetyl-CoA is labeled less than other central metabolites28. The importance of the ethanol assimilation pathway depends on the environmental ethanol concentration, with ethanol becoming a major acetyl-CoA source at millimolar level. In mitochondria, we prove that the ethanol assimilation pathway involves the CoA-transferase Ach129–31. The assimilated ethanol was originally produced from glucose. But, at the population level, the pathway from glycolysis to the TCA cycle (and other acetyl-CoA products such as amino acids and fatty acids) flows through pyruvate decarboxylase and environmental ethanol.
Our methods cannot differentiate whether this flux through environmental ethanol involves intercellular ethanol exchange (that is, from ethanol-secreting fermentative cells to ethanol-consuming oxidative cells) or pathway reversibility at the single-cell level (that is, simultaneous ethanol secretion and re-uptake by the same cells). An intriguing possibility is that ethanol re-uptake coordinates with the yeast metabolic cycle32,33, occurring primarily in cells in the metabolic cycle’s oxidative phase, with ethanol produced by cells in the reductive building and charging phases.
Simultaneous ethanol excretion and uptake simplify regulation of the fate of pyruvate, circumventing the challenge of partitioning it optimally between fermentation and acetyl-CoA. Ethanol excretion is the default, with the resulting environmental ethanol providing a reservoir to help meet cellular two-carbon unit demands. Such a reservoir is not essential, as yeast can grow rapidly in dilute cultures where ethanol is scarce or in contexts where excreted ethanol is diluted away by fluid flow33. But when available, environmental ethanol helps assure adequate availability of both carbon and high-energy electrons even if glycolysis is impaired.
Notably, because simultaneous ethanol excretion and re-assimilation is a default state, yeast can access both the carbon and high-energy electrons from environmental ethanol without any remodeling of their internal metabolic machinery. Such access is particularly evident during acute redox stress, which impairs glycolysis through inhibitory oxidation of the central glycolytic enzyme GAPDH. Under this circumstance, ethanol becomes the predominant source of both NADH and NADPH, the latter being critical for survival of oxidative stressors. Thus, uncoupling of glycolysis from the TCA cycle via ethanol provides yeast with metabolic flexibility, decreases regulatory complexity and enhances robustness.
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Methods
Materials.
Yeasts were grown in yeast nitrogen base without amino acids (Sigma-Aldrich, Y0626) with carbon source added separately. BD Difco YPD Broth (BD, 242820) was used as the media for reviving frozen cells or growing cells to be frozen. Glycerol (Sigma-Aldrich, G5516) was added at a 1:1 volume ratio to YPD yeast cultures in cryovials (Nalgene, 5000–1020, or Corning, 430289). Glucose (Sigma-Aldrich, D9434), [U-13C6]glucose (Cambridge Isotope Laboratories, CLM-1396), [13C2]ethanol (Sigma-Aldrich, 427039), [1,1-2H2]ethanol (Sigma-Aldrich, 347434), ethanol (Decon Labs, DSP-MD.43) and 1-2H-glucose (Omicron Biochemistry, GLC-032) are used as carbon sources. Tap water filtered by Milli-Q Reference Water Purification System (Millipore Sigma, C79625) and D2O (Cambridge Isotope Laboratories, DLM-4) were used as the water source for yeast cultures. Millipore Sigma Stericup Quick Release-HV Sterile Vacuum Bottle Top Filtration Systems with 0.22-μm PES filters were used to sterilize all media for yeast cultures, and 0.45-μm nylon filters (GVS North America, 123776) were used to filter yeasts for metabolite extraction. 3-(Trimethylsilyl)propionic-2,2,3,3-d4 acid sodium salt (TMSP) (Sigma-Aldrich, 269913) was used as 1H NMR internal standard, and sodium formate-13C (Sigma-Aldrich, 279412) was used as 13C NMR internal standard. Experimental cultures were grown in 14-ml polypropylene round-bottom tubes (Falcon, 352059). HPLC vials (Thermo Fisher Scientific, 200–046, 501–313) were used for water-soluble metabolite samples; glass vials (Thermo Fisher Scientific, 03–338A) were used for lipid hydrolysis; and glass HPLC vials (Chemglass, CV-1152–1232 and CV-3845–13009) were used for fatty acid and lipid samples. Electrochemical measurements (YSI, 2900D with glucose starter kit YSI, 2324) were used for cross-validation of the glucose concentration measured by NMR.
Yeast strains.
S. cerevisiae strain FY4, derived from S288c, was taken from in-house frozen stocks. S. cerevisiae strain CEN.PK was obtained from José Avalos. S. cerevisiae prototrophic mutant strains were obtained from David Botstein, which were also derived from S288c through a diploid intermediate strain34,35. I. orientalis SD108 was provided by Huimin Zhao.
Yeast batch cell culture growth.
S. cerevisiae or I. orientalis colony was inoculated into an overnight culture containing 6.7 g L−1 of Yeast Nitrogen Base (YNB) without amino acids and 20 g/L of glucose. After 24 hours of growth at 30 °C, the overnight culture was diluted 1:100 into appropriate experimental media, containing 6.7 g L−1 of YNB without amino acids and a carbon source/isotope tracer as specified for each experiment. For the prototrophic Δzwf1 strain, 20 mg L−1 of methionine was added to the media to accelerate growth.
1H qNMR measurement.
Yeasts were first grown to mid-exponential phase (OD = 0.5), split into two equal portions, and centrifuged to pellets at 1,600 r.p.m. at 4 °C for 1 minute. In the equimolar case, each pellet was redissolved at an equal concentration into media containing either (1) YNB + 42 mM unlabeled glucose and 42 mM [U-13C]ethanol or (2) YNB + 42 mM [U-13C]glucose and 42 mM unlabeled ethanol. In the equicarbon case, each portion was switched into the media containing either (1) YNB + 28 mM unlabeled glucose and 84 mM [U-12C] ethanol or (2) YNB + 28 mM [U-13C]glucose and 84 mM unlabeled ethanol. OD was taken before and after the incubation period for flux calculation. Before switching and 1 hour after the media switch, 0.5 ml of the culture media was collected by sampling and centrifugation. Then, 450 μl of the supernatant was mixed with 50 μl of the 50 mM deuterated TMSP standard solution in D2O and loaded onto NMR instruments. 1H NMR δ: 0 ppm (s, 9H) for the TMS standard, 3.2 p.p.m. (dd, 1H) for β-glucose and 1.17 p.p.m. (t, 3H) for ethanol. Water suppression was achieved by O1P = 4.66 p.p.m. and spw1 = 0.002. To achieve quantitative NMR, D1 was set to 5 seconds and 90° pulse (p1) to 11.69 μs.
13C qNMR measurement.
The sample collection procedure and preparation were identical to the 1H NMR excretion profile, except that 13C sodium formate (0.1 M) was used as a standard instead of deuterated TMS. 13 C NMR δ: 168 p.p.m. (s, 1 C) for the sodium formate standard, 161 p.p.m. (d, 1 C) for glucose and 57 p.p.m. (d, 1 C) for ethanol. Samples of media that the cells are switched into were measured as baselines. We observed that unlabeled ethanol present in the media also gives a detectable 13C NMR signal (s, 1 C at 57 p.p.m.) due to natural 13C abundance. This natural abundance signal was not corrected for because it is <5% signal of [U-13C] ethanol. Relaxation time (D1) was set to a generous length of 40 seconds to ensure that all spins reset properly and, thus, achieved quantification of 13C nuclei.
Flux calculation from NMR measurements.
NMR was used to measure the concentration of glucose and ethanol in the media at the time of switching () and after 1-hour incubation (). The glucose concentrations of the same samples were independently verified by a biochemistry analyzer. OD was measured at the time of switching and 1 hour after incubation . The integral of cell density over time was approximated by the trapezoid rule, which is calculated as . Then, the uptake rate for glucose or excretion rate of ethanol with hour.
Metabolite extraction.
Metabolite extraction was performed as previously17,36. Three milliliters of the cell culture at mid-exponential stage of growth (OD ~0.5) was vacuum filtered (0.45 μm, Millipore). For experiments evaluating ethanol concentration dependence, cells at an early stage of growth (OD = 0.1) were switched into YNB+ 55 mM unlabeled glucose and 50 μM, 500 μM or 5 mM [U-13C]ethanol via centrifugation (1,600 r.p.m. at 4 °C for 1 minute) and incubated for 1 hour, and then 3 ml of cell culture was vacuum filtered (0.45 μm, nylon). The filter was immersed in 1.6 ml of a cold (−20 °C) extraction buffer (40% methanol:40% acetonitrile:20% water:0.5% formic acid by volume). Cells were washed out of the filter, and 88 μl of NH4(HCO3) (15 % w/v, Sigma-Aldrich) solution per 1 ml of extraction buffer was added to neutralize formic acid. The resulting solutions were transferred to Eppendorf tubes and centrifuged for 10 minutes at 16,000 r.p.m. in a cold room (4 °C). The supernatant was collected and stored at −80 °C before loading onto a liquid chromatography mass spectrometer.
Water-soluble metabolite LC–MS analysis.
Prepared samples were loaded onto a quadrupole-orbitrap mass spectrometer (Q Exactive Plus, Thermo Fisher Scientific) coupled to hydrophilic interaction chromatography (HILIC) for analysis. Measurements of acetyl-CoA labeling were achieved by reversed-phase ion-pairing liquid chromotography37 coupled to a standalone orbitrap (Exactive, Thermo Fischer Scientific).
Fatty acid extraction and LC–MS analysis.
Fatty extraction was performed according to Zhang et al.19. Cells were pelleted in a 1.5-ml Eppendorf tube, and 1 ml of 0.3 M KOH in 90:10 methanol:water solution was added. The resulting mixture with cells was transferred to a 4-ml glass vial. Saponification was performed by placing the samples into a water bath at 80 °C for 1 hour. Once the samples cooled down, 100 μl of formic acid (0.5%) was added, followed by 1 ml of hexane to extract the fatty acids. The extract was transferred into a glass HPLC vial and dried under nitrogen flow. Afterwards, it was diluted in 0.1 ml of 50:50 acetonitrile:methanol solution. The 0.1-ml solution was then added to a clean glass insert, placed inside an HPLC vial and cap sealed. All the samples were loaded onto the Exactive LC–MS employing a reversed-phase LC column (C8) coupled with negative-mode ESI high-resolution MS. NADPH or acetyl-CoA labeled fractions were inferred from observed fatty acid labeling patterns using a binomial model with unlabeled fat, which, in part reflects environmental contamination, omitted from the calculation.
Isotope tracing experiments.
Cells were grown in YNB + 10 g L−1 of glucose up to OD = 0.5. Then, the cells were quickly centrifuged, the supernatant discarded and switched to equimolar or equicarbon media with either glucose or ethanol 13C- or 2H-labeled or with both carbon sources unlabeled in 50% 2H2O. The cells were allowed to grow in the labeled media for 1 hour before harvesting. A potential concern in these experiments is dilution of labeled ethanol tracer by unlabeled ethanol made from glucose. As no more than 2 mM unlabeled ethanol is excreted into the media during the 1-hour incubation, environmental ethanol remains more than 95% fully labeled during the experiments. OD was taken before and after the incubation period to ensure that the cells were in exponential growth phase during the experiment.
Substrate correction for deuterium tracing with [1,1-2H2]ethanol.
PDC flux dilutes the deuterium-labeled fraction of acetaldehyde in S. cerevisiae when fed with [1,1-2H2]ethanol. Contribution to NADPH by Ald6 is represented by the labeled NADPH active hydride fraction from [1,1-2H2]ethanol divided by acetaldehyde labeling. The acetaldehyde labeling is approximated by the fraction of acetyl-CoA labeled by ethanol in 13C isotope tracing experiments. Due to the deuterium kinetic isotope effect and PDH flux being small, if anything, this will overestimate 2H-labeling of acetaldehyde and, thus, tend to underestimate Ald6 contribution to NADPH.
Water exchange activity calculation with 2H2O experiments.
The fraction of NADPH in exchange with water is represented by the fraction of NADPH active hydride labeled from 2H2O divided by the 2H2O enrichment percentage (50%).
H2O2 stress experiments.
The procedure was adapted from Christodoulou et al. with some modifications22. Cells were incubated in the experimental culture media, containing either [1,1-2H2]ethanol or [1-2H]glucose tracer, during the exponential growth stage. Metabolite extraction was performed with 1 ml of the culture for a baseline measurement (‘−1 s’ time point). Afterwards, 6 ul of 30 % hydrogen peroxide (Sigma-Aldrich) was added to the 3-ml culture to reach a final concentration of 20 mM H2O2, and samples were extracted after 15 seconds, 30 seconds and 60 seconds.
Mitochondrial acetyl-CoA labeling calculation from [U-13C] ethanol tracer.
Acetyl-glutamate and glutamate labeling patterns were measured from the LC–MS analysis of cultures grown with [U-13C]ethanol. The matrix equation was set up as below and solved by the least square method for the acetyl-CoA labeling.
Data analysis and visualization.
El-MAVEN version 11.1 (Elucidata) software was used to process the LC–MS data38. Metabolite identities were verified by both mass/charge (m/z) ratio and retention time match to authenticated standards. For 2H- and 13C-isotope-labeled data analysis, natural isotope abundance correction was made according to a binomial distribution model39. 13C-MFA was computed with INCA40. NADPH active hydride labeling and acetyl-CoA labeling from fatty acids were calculated as previously19. MestReNova x64 software was used for the NMR data processing. Statistical analyses were performed with GraphPad Prism, including two-tailed t-tests (with false discovery rate correction by the two-stage step-up Benjamini, Krieger and Yekutieli method to confirm that any reported significant results involving statistical comparisons of multiple isotopic forms of the same metabolite remain significant after correction for the multiple comparisons); ordinary one-way ANOVA (when row matching is statistically significant, repeated-measures one-way ANOVA instead); and linear trend (between-column mean and by left-to-right column order, with P value from F-test). For routine data visualization and analysis, MATLAB41, R Studio, Python and Microsoft Excel were used. Schematics and diagrams were created with the aid of GraphPad Prism, ChemDraw and BioRender.
Extended Data
Extended Data Fig. 1 |. Environmental ethanol consistently provides acetyl units across two S. cerevisiae strains.
(a) ethanol production rate from [U-13C]glucose (mean, Se, n=3 biological replicates). Results are similar to literature29 value of 10.5 mmol*(OD*h)−1. (b) Glucose uptake rate from the same experiment as in a (mean, Se, n=3 biological replicates), comparable to literature value29 of 6.9–7.6 mmol*(OD*h)−1. (c) The [M+2] labeling of acetyl-CoA in S.cerevisiae FY4 with equimolar glucose and [U-13C]ethanol measured as a function of time in labeled ethanol (mean, Se, n=3 biological replicates). The consistent labeling fraction from 30 min to 1 h implies that 1 h is a pseudo-steady-state measurement. (d) After incubation with glucose and [U-13C]ethanol for 1 hour at varying conditions and strains, the [M+2] labeled acetyl-CoA fraction from the cell (mixture of cytosolic and mitochondrial origins) was directly measured by LC-MS (mean, Se, n=3 biological replicates). (e) examples of q13C NMR spectra of the yeast culture media upon addition of [U-13C]glucose and after S. cerevisiae growth for 1 h.
Extended Data Fig. 2 |. Environmental ethanol does not enter glycolytic intermediates in fermenting S. cerevisiae.
(a) After natural isotope correction, no meaningful [M+2] fraction is observed in glycolytic intermediates: fructose-1,6-phosphate (FBP), dihydroxyacetone phosphate (DHAP), hexose-6-phosphates (G6P+F6P), or UDP-D-glucose (S. cerevisiae, equimolar glucose:[U-13C]ethanol, mean, SE, n=3 biological replicates). (b) As in a, for equicarbon condition. (c) example of the natural abundance observed in raw mass spectra of FBP. The natural abundance is corrected by the binomial distribution model37 to arrive at the labeling patterns reported throughout the manuscript including a and b above.
Extended Data Fig. 3 |. Environmental ethanol feeds fatty acid synthesis to a similar extent across the equimolar and equicarbon conditions.
(a) 13C-isotope labeling pattern of palmitic acid from S. cerevisiae FY4 (S288c) switched to and incubated in minimal media (YNB) with equimolar or equicarbon glucose: [U-13C]ethanol (mean, SE, n=3 biological replicates). (b) 13C isotope labeling pattern of stearic acid from the same experiments as shown in a (mean, SE, n=3 biological replicates). (c) Whole-cell and cytosolic acetyl-CoA labeling from [U-13C]ethanol is similar. Whole-cell labeling is directly measured by LC-MS of acetyl-CoA (mean, SE, n=3 biological replicates). Cytosolic labeling is inferred from fatty acids labeling patterns (mean ± SE, results from both C16:0 and C18:0 are averaged, resulting a total n=6 measurements from n=3 biological replicates). The directly measured whole-cell acetyl-CoA is the same data as shown in Fig. 1e.
Extended Data Fig. 4 |. Ethanol contribution to mitochondrial acetyl-CoA is blocked by knocking out ACH1.
(a) Glu and NAG labeling from the experiment in Fig. 1d with equicarbon glucose: [U-13C]ethanol (mean, Se, n=3 biological replicates; ***, p<.001, by two-sided t-test). Briefly, while Glu is labeled up to [M+2], NAG [M+4] arises from the reaction of [M+2] Glu with mitochondrial [M+2] acetyl-CoA, which depends on Ach1. (b) Mitochondrial acetyl-CoA [M+2] fraction fitted from glutamate and NAG labeling in a (mean, Se, n=3 biological replicates). (c) Schematic showing ACH1 as the exclusive point of entry for carbons from ethanol or acetate into mitochondrial acetyl-CoA (Created with BioRender). (d) Directly measured cellular acetyl-CoA [M+2] labeled fraction is similar across media conditions or strains including the ACH1 knockout strain (mean, Se, RM one-way ANOVA with Geisser-Greenhouse correction, p= .097 (ns), .19(ns), n=3 biological replicates). FY4 is isogenic to S288c and Δach1 is from S288c, while CeN.PK is derived from eNY.WA-1A and MC996A.
Extended Data Fig. 5 |. Carbons from [u-13C]ethanol feed into TCA intermediates across media conditions and budding yeast strains/species.
Some data for S.c. FY4 and I.o. SD108 are repeated from main Fig. 3b,c (mean, Se, n=3 biological replicates).
Extended Data Fig. 6 |. The environmental ethanol contribution to TCA intermediates is concentration-dependent.
Labeling pattern of TCA intermediates from the indicated budding yeast grown starting at OD = 0.1 in standard high glucose media (55 mM regular glucose) with the indicated concentrations of [U-13C]ethanol for 1 h (mean, Se, n=3 biological replicates). Note that, for the lower 13C-ethanol concentrations, the labeled ethanol is substantially diluted by unlabeled ethanol made from the unlabeled glucose during the duration of the experiment. In S. cerevisiae, this is about a 10-fold dilution for the 50 μM condition and 2-fold for the 500 μM condition. Thus, the above labeling patterns conservatively underestimate the contribution of low concentrations of environmental ethanol to TCA intermediates.
Extended Data Fig. 7 |. Deuterium tracing into NAD(P)h is similar across media conditions and strains.
(a) Scheme depicting NADP2H and NAD2H production from [1,1-2H2]ethanol isotope tracer. (b) Labeled fractions of NADPH active hydride with the tracer in a. The values are computed from matrix decompositions of labeling distributions of NAD(P)H and NAD(P)+ that are directly measured by LC-MS (mean, Se, n=3 biological replicates). (c) As in b, for NADH (mean, Se, n=3 biological replicates). (d) Chemical scheme depicting NADP2H production from [1-2H]glucose via the first step of oxPPP. (e) Labeled fractions of NADPH active hydride with the tracer in d (mean, Se, n=3 biological replicates). (f) As in e, for NADH (mean, Se, n=3 biological replicates). (g) Chemical basis of D2O active hydride exchange with NAD(P)H16. (h) The fraction of NADPH hydride exchanged with water, as measured in media swap experiment with 50% D2O (mean, Se, n=3 biological replicates). (i) As in h, for NADH (mean, Se, n=3 biological replicates).
Extended Data Fig. 8 |. ALD6 knockout shifts NADPh production (and thus fatty acid hydride labeling) towards the oxidative pentose phosphate pathway and ZWF knockout shifts it towards the ethanol-ALD6 pathway.
(a) 2H isotope labeling pattern of palmitic and stearic acids from S. cerevisiae FY4 and Δald6 swapped into equimolar [1-2H]glucose: ethanol for 1 h (mean, Se, n=3 biological replicates). (b) As in a, for equicarbon [1-2H]glucose: ethanol (mean, SeM, n=3 biological replicates). (c) 2H isotope labeling pattern of palmitic and stearic acids from S. cerevisiae FY4 and Δald6 swapped into equimolar glucose: [1,1-2H2]ethanol for 1 h (mean, Se, n=3 biological replicates). (d) As in c, for equicarbon glucose: [1,1-2H2]ethanol (mean, Se, n=3 (biological replicates)).
Extended Data Fig. 9 |. Fatty acids in S. cerevisiae are labeled from D2o (50%) reflecting direct water incorporation during fatty acid synthesis and h-D exchange between water and NADPh.
(a) 2H isotope labeling pattern of palmitic acid from S. cerevisiae FY4 swapped into regular glucose media with 50% D2O for 1 h (mean, Se, n=3 biological replicates). (b) As in a, for stearic acid.
Extended Data Fig. 10 |. The fructose-1,6-bisphosphate (FBP) pool size acutely increases in response to oxidative stress.
FBP pool size, after treatment with 20 mM hydrogen peroxide in S. cerevisiae FY4 grown in glucose+ethanol. The increase in FBP pool size after the oxidative stress is statistically significant (mean, Se, n=6 biological replicates, slope > 0 by linear regression, p=0.03).
Supplementary Material
Acknowledgements
We thank S. Silverman and D. Botstein for access to the yeast knockout collection; T. TeSlaa, R. Ryseck and A. J. Cowan for feedback on the manuscript; I. Pelczer and J. Eng for assistance with NMR and mass spectrometry; C.M. Call for help with preliminary experiments; and M. Seyedsayamdost and members of the Rabinowitz laboratory for helpful discussions. Services, results and/or products in support of the research project were generated by the Rutgers Cancer Institute of New Jersey Metabolomics Shared Resource, supported, in part, with funding from NCI-CCSG P30CA072720–5923. This work was funded by U.S. Department of Energy grant DE-SC0018260 and the Department of Energy Center for Advanced Bioenergy and Bioproducts Innovation (award no. DE-SC0018420). Any opinions, findings, conclusions or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the views of the U.S. Department of Energy.
Footnotes
Competing interests
The authors declare no competing interests.
Reporting summary.
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Additional information
Extended data is available for this paper at https://doi.org/10.1038/s41589-022-01091-7.
Supplementary information The online version contains supplementary material available at https://doi.org/10.1038/s41589-022-01091-7.
Data availability
Data are shown in the figures and supplementary figures. Requests for materials can be made to the corresponding author. Source data are provided with this paper.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Data are shown in the figures and supplementary figures. Requests for materials can be made to the corresponding author. Source data are provided with this paper.