AEM Accepts, published online ahead of print on 16 May 2014 Appl. Environ. Microbiol. doi:10.1128/AEM.01048-14 Copyright © 2014, American Society for Microbiology. All Rights Reserved.
1
2 The key to acetate: Metabolic fluxes of acetic acid bacteria under cocoa pulp
3 fermentation simulating conditions
4
5 Philipp Adlera, Lasse Jannis Freya, Antje Bergera, Christoph Josef Boltenb, Carl Erik
6 Hansenb and Christoph Wittmanna,c*
7
8
9 a Institute of Biochemical Engineering, Technische Universität Braunschweig, 38106
10 Braunschweig, Germany
11 b Nestlé Research Center, Vers-Chez-Les-Blanc, 1000 Lausanne 26 Switzerland
12 c Institute of Systems Biotechnology, Saarland University, 66123 Saarbrücken,
13 Germany
14
15
16
17 *Corresponding address: Christoph Wittmann, Institute of Systems Biotechnology,
18 Saarland University, Campus A 1.5, 66123 Saarbrücken, Germany, phone 0049-681-
19 30271971, FAX: 0049-681-30272972, Email: [email protected]
20
21
1
22 Abstract
23 Acetic acid bacteria (AAB) play an important role during cocoa fermentation, as their
24 main product acetate is a major driver for development of desired cocoa flavors. Here,
25 we investigated the specialized metabolism of these bacteria under cocoa pulp
26 fermentation simulating conditions. A carefully designed combination of parallel 13C
27 isotope experiments allowed the elucidation of intracellular fluxes in the complex
28 environment of cocoa pulp, including lactate and ethanol as primary substrates,
29 among undefined ingredients. We demonstrate that AAB exhibit a functionally
30 separated metabolism during co-consumption of carbon-two and carbon-three
31 substrates. Acetate is almost exclusively derived from ethanol, while lactate serves for
32 formation of acetoin and biomass building blocks. Although suboptimal from cellular
33 energetics, this allows maximized growth and conversion rates. The functional
34 separation results from lack of phosphoenolpyruvate carboxykinase and malic
35 enzymes, typically present in bacteria to interconnect metabolism. In fact,
36 gluconeogenesis is driven by pyruvate phosphate dikinase. Consequently, a balanced
37 ratio of lactate and ethanol is important for optimum performance of AAB. As lactate
38 and ethanol are individually supplied by lactic acid bacteria and yeasts, during the
39 initial phase of cocoa fermentation, respectively, this underlines the importance of a
40 well-balanced microbial consortium for a successful fermentation process. Indeed,
41 AAB performed best and produced the largest amounts of acetate in mixed culture
42 experiments, when lactic acid bacteria and yeasts were both present.
43
44
45 Key words
46 Metabolic flux, 13C, fluxome, systems biology, acetate, cocoa
47 2
48 Introduction
49 Acetic acid bacteria (AAB) play an important role in cocoa fermentation (1). During
50 fermentation of pulp, surrounding the cocoa beans, they form acetate. Acetate then
51 diffuses into the beans (2–4), where it initiates a cascade of chemical and biochemical
52 reactions leading to precursor molecules for cocoa flavor (2, 5, 6). Potential
53 substrates for AAB are lactate and ethanol, which are individually produced by lactic
54 acid bacteria (LAB) (mainly Lactobacillus fermentum) and yeasts (diverse yeasts such
55 as Saccharomyces cerevisiae, Hanseniaspora oppuntiae, and Candida crusei) during
56 the fermentation process (6–12). Hereby, degradation of lactate by AAB is desired,
57 since remaining lactate may provide off-flavor in the final cocoa product (11, 13, 14).
58 In recent years, AAB were extensively analyzed for their contribution to cocoa
59 fermentation. Obviously, the most prevalent AAB species is Acetobacter pasteurianus
60 (13, 15–17). In addition, A. ghanensis and A. senegalensis are found during
61 spontaneous cocoa bean fermentation (9, 13, 17, 18). Further studies provided first
62 insights into basic microbiological properties of such strains and macroscopic
63 dynamics during cocoa pulp fermentation (12, 15, 18–20). At this point, it appears
64 relevant to resolve the metabolic contribution of AAB to a greater detail. Basic
65 knowledge that we share indicates a unique metabolism among members of the
66 genus Acetobacter, including a non-functional Embden-Meyerhof-Parnas (EMP)
67 pathway and the generation of energy from incomplete oxidation of ethanol into
68 acetate (21, 22). A few species are able to catabolize lactate (23–26). A pathway from
69 lactate to acetate as final product has been proposed, however the role of some of its
70 enzymes remains unclear (26). In general, little is known about the in vivo contribution
71 of these carbon core pathways to cellular metabolism of AAB. Particularly, their life
72 style in complex environments such as cocoa pulp is largely unknown. In the past
73 decade, 13C metabolic flux analysis has emerged as a routine approach to study 3
74 individual microbes grown on single-carbon substrates on the level of molecular
75 carbon fluxes (in vivo reaction rates) (27, 28). Without resolving details, advanced
76 experimental designs meanwhile provide fluxes for complex microbial systems,
77 including mixed populations (29) and nutrient mixtures (30).
78
79 Here, we applied 13C based metabolic flux analysis to study the metabolism of
80 Acetobacter during cocoa pulp fermentation. Acetobacter pasteurianus NCC 316 and
81 A. ghanensis DSM 18895 were selected as representative strains of two major
82 species of AAB, naturally occurring in cocoa pulp (23, 31). A validated set-up (12)
83 unraveled metabolic fluxes in AAB under cocoa pulp simulating conditions. As central
84 finding, concerted use of lactate and ethanol enables optimum fluxes with regard to
85 growth and energy metabolism. Considering recent insights into extracellular and
86 molecular fluxes of LAB during cocoa fermentation (12, 20, 23, 30) this suggests that
87 the efficiency of AAB depends on compositional traits provided by LAB and yeasts
88 during the initial fermentation process so that the overall success of cocoa
89 fermentation requires a well-balanced microbial consortium.
90
91 Material and Methods
92 Strains and maintenance. Acetobacter pasteurianus NCC 316, Lactobacillus
93 fermentum NCC 575 and Saccharomyces cerevisiae NYSC 2 were obtained from the
94 Nestlé Culture Collection (Lausanne, Switzerland). A. pasteurianus NCC 316 and L.
95 fermentum NCC 575 were previously isolated from cheese (1978) and from coffee
96 (1984), respectively. S. cerevisiae NYSC 2 is the commonly used laboratory strain
97 X2180-1B (MATα gal2 SUC2 mal CUPJ). Acetobacter ghanensis DSM 18895 was
98 obtained from the German Culture Collection (DSMZ, Braunschweig, Germany).
99 Escherichia coli K-12 was used as a reference strain for enzyme activity assays and 4
100 was supplied by the Coli Genetic Stock Center (CGSC, New Haven, CT, USA). A.
101 pasteurianus NCC 316 and A. ghanensis DSM 18895 were stored in mannitol – yeast
102 extract – peptone (MYP) medium (32). L. fermentum NCC 575 was maintained in
103 Lactobacilli MRS (deMan-Rogosa-Sharpe) broth (32). S. cerevisiae NYSC 2 was
104 stored in yeast malt (YM) medium (32). E. coli K-12 was maintained in LB medium
105 (synonymously called lysogeny broth or Luria Bertani broth) (33). All frozen stocks
106 were stored at -80°C and contained 15% (vol/vol) glycerol.
107
108 Cultivation. Cells of A. pasteurianus NCC 316 and A. ghanensis DSM 18895 were
109 re-activated on MYP agar at 30°C for 48 h before use. For pre-cultures and main
110 cultivation of Acetobacter species, the cocoa pulp simulation medium for acetic acid
111 bacteria was used (PSM-AAB) (12). It contained per liter: 10 g ethanol, 7.2 g sodium
112 lactate, 10 g yeast extract (Roth, Karlsruhe, Germany), 5 g soy peptone (Roth), and 1
113 ml Tween 80 (Sigma-Aldrich, Taufkirchen, Germany). The initial pH of the medium
114 was 4.5. In 13C tracer experiments, lactate and ethanol were replaced by equimolar
115 amounts of 98% [U-13C] sodium lactate (Cambridge Isotopes, Andover, MA, USA),
116 98% [3-13C] sodium lactate (Cambridge Isotopes), and 99% [U-13C] ethanol (Sigma-
117 Aldrich), respectively. Pre-cultures and main cultures of L. fermentum NCC 575 and
118 S. cerevisiae NYSC 2 were performed in cocoa pulp simulation medium for lactic acid
119 bacteria (PSM-LAB) (12), which was prepared as described previously (30). For all
120 experiments, cells from agar plates, previously obtained from frozen stocks
121 (Acetobacter), or frozen stocks (L. fermentum and S. cerevisiae) were used to
122 inoculate the first pre-culture (37°C, 12-24 h). Cells were transferred to the second
123 pre-culture, which was incubated at 37°C. Cells were then harvested in the mid-
124 exponential growth phase, washed (6000 × g, 5 min; 4°C) with a peptone mixture (10
125 g liter−1 yeast extract [Roth], 5 g liter−1 soy peptone [Roth]), and used to inoculate the 5
126 main culture to an initial optical density (OD600) of 0.01. All cultivations of A.
127 pasteurianus NCC 316 and A. ghanensis DSM 18895 were performed in disposable
128 baffled shake flasks (250 ml, PreSens Precision Sensing GmbH, Regensburg,
129 Germany) on a rotary shaker at 280 rpm (Infors Multitron II, Infors, Bottmingen,
130 Switzerland). Dissolved oxygen was monitored using a shake-flask reader (SFR,
131 PreSens Precision Sensing GmbH). To account for potential evaporation of volatiles,
132 their loss was monitored in control experiments without cells, incubated under the
133 fermentation conditions described above and evaporation rates were used to correct
134 formation and consumption rates. Cultivations with L. fermentum NCC 575 and S.
135 cerevisiae NYSC 2 were conducted in non-baffled 250-ml shake flaks at 37°C and a
136 rotation speed of 50 rpm.
137
138 In order to study the entire cocoa pulp fermentation, PSM-LAB was inoculated with
139 either L. fermentum, S. cerevisiae or a mixture of both microorganisms and then
140 incubated for 24 h. Subsequently, the fermentation broth was filtered (filter top 250,
141 0.22 µm, TPP Techno Plastic Products, Trasadingen, Switzerland), the pH was
142 adjusted to 4.5, and the medium was further incubated with A. pasteurianus NCC
143 316.
144
145 Quantification of substrates and products. Concentrations of organic acids
146 (lactate, acetate, pyruvate, citrate, and α-ketoglutarate), acetoin and ethanol in culture
147 supernatants were determined by HPLC (Elite-LaChrom, Hitachi, West Chester, PA,
148 USA), equipped with an Aminex HPX-87H column (300 × 7.8 mm, Bio-Rad, Hercules,
149 CA, USA) as stationary phase, using 12.5 mM H2SO4 as mobile phase at a flow rate
150 of 0.5 ml min−1 and a column temperature of 45°C. Quantification of acetoin was
151 carried out via UV detection at 290 nm. For detection of all other substances, a 6
152 refractive index detector was used. Samples were diluted 1:10 with deionized water
153 prior to analysis.
154
155 Cell growth was monitored as optical density (OD600) at 600 nm (Libra S11,
156 Biochrome, Cambridge, UK). Cell dry weight (CDW) was determined gravimetrically
157 after filtration of culture broth (cellulose acetate, 0.2 µm, Sartorius, Göttingen,
158 Germany) and subsequent drying of the filters at 105°C until weight constancy. The
159 correlation factor between OD600 and CDW (three biological replicates each) was
−1 160 CDW = 0.356 × OD600 (g liter ) for A. pasteurianus NCC 316, and CDW = 0.240 ×
−1 161 OD600 (g liter ) for A. ghanensis DSM 18995.
162
163 GC/MS analysis of 13C labeling pattern of amino acids and of secreted acetoin
164 and acetate. For analysis of 13C labeling patterns, samples were taken from the first
165 exponential growth phase of the AAB. Mass isotopomer distributions of proteinogenic
166 amino acids were analyzed by GC/MS in selective ion monitoring mode (34). The
167 labeling pattern of acetate in culture supernatants was determined by GC/MS as
168 described previously (30). To determine the labeling pattern of acetoin, a novel
169 method was adapted from a protocol for multifunctional carbonyl compounds (35).
170 Shortly, 500 µl of culture supernatant was mixed with 50 µl of a 0.5% (w/vol) aqueous
171 O-(2,3,4,5,6-pentafluorobenzyl)hydroxylamine hydrochloride (PFBHA) solution and
172 incubated for 30 min at 80°C. Subsequently, PFBHA derivatives were extracted with
173 methyl-t-butylether (MTBE). Excess PFBHA was removed by back-extraction with 0.1
174 M HCl (500 µl). To eliminate traces of water in the MTBE extracts, dry sodium sulfate
175 powder was added. Remaining water in the organic phase was trapped into clumps of
176 sodium sulfate. After removal of the particles by centrifugation for a few seconds
177 (Sprout mini-centrifuge, Heathrow Scientific LLC, Vernon Hills, Il, USA), samples were 7
178 derivatized with 50 µl of bis-(trimethylsilyl)trifluoroacetamide (BSTFA) at 80°C for 30
179 min. Subsequently, PFBHA-BSTFA derivatives were analyzed by GC/MS (7890A,
180 5975C quadrupole detector, Agilent Technologies, Santa Clara, CA, USA). The oven
181 program was as follows: 60°C for 2 min, ramp: 15°C min−1, final temperature: 325°C.
182 Samples were analyzed in SIM mode at m/z 340-344 (C1-C4) and m/z 312-314 (C3-
183 C4). For method validation, a 0.05% (w/v) solution of naturally labeled acetoin was
184 treated and analyzed as described above.
185
186 Enzyme activity assays. For enzyme assays, cells from the first exponential growth
187 phases were harvested by centrifugation (25800 x g, 4°C, 10 min), washed with 100
188 mM Tris-HCl (pH 7.5, 10 mM MgCl2, 0.75 mM dithiothreitol) and re-suspended in 10
189 ml of the same buffer. Disruption was performed mechanically (100 µm silica glass
190 beads, 2 x 20 s, 6.0 m s-1, FastPrep-24, MP Biomedicals, Santa Ana, CA, USA). Cell
191 debris was removed by centrifugation at 17,000 x g for 5 min at 4°C and protein
192 content in crude extract was determined by the Bradford method (36) using a reagent
193 solution (Rothi-Quant, Roth) with bovine serum albumin as standard. Enzyme assays
194 were performed at room temperature in a microplate reader (Varioskan Flash,
195 Thermo Scientific, Waltham, MA, USA). Phosphoenolpyruvate carboxykinase (EC
196 4.1.1.32) and phosphoenolpyruvate carboxylase (EC 4.1.1.31) assays were
197 performed as described previously (37). Malic enzyme activity (EC 1.1.1.40) was
198 determined as described previously (38). As a positive control, an isocitrate
199 dehydrogenase assay was used (39). Enzyme activities were calculated from change
-1 -1 200 in absorbance. Molar extinction coefficients were ε340 = 6.22 mM cm for NADH +
+ + -1 -1 201 H and NADPH + H , and ε300 = 0.6 mM cm for oxaloacetate, respectively
202
203 Metabolic network. 8
204 The metabolic pathway network of Acetobacter (Figure 1) was derived from the
205 genomic repertoire of A. pasteurianus IFO 3283 and A. pasteurianus 386B, recently
206 sequenced (21, 40). A. pasteurianus possesses membrane-bound, pyrroloquinoline
207 quinone (PQQ) dependent alcohol and aldehyde dehydrogenases for oxidation of
208 ethanol into acetate, as well as genes encoding intracellular alcohol dehydrogenase
209 and aldehyde dehydrogenase (Table S1, Supplementary Material) (21, 40–43).
210 Lactate is metabolized via lactate dehydrogenase and further metabolized into
211 acetate (26). It has been reported that A. pasteurianus strains accumulate acetoin,
212 when incubated with lactate (23–25). Indeed, two different pathways for acetoin
213 formation are annotated. Furthermore, there is genetic evidence for a modified TCA
214 cycle, in which succinyl-CoA synthetase and malate dehydrogenase are replaced by
215 succinyl-CoA:acetate CoA transferase (APA01_00320, APA01_00310,
216 APA386B_2589) and malate:quinone oxidoreductase (APA01_01110, APA01_11550,
217 APA386B_2675) (21, 40). This modified pathway has been described previously(44).
218 The glyoxylate pathway and the Entner-Doudoroff (ED) pathway are not encoded in
219 the genome of A. pasteurianus IFO 3283 and A. pasteurianus 386B, respectively (21,
220 40). There are predicted genes for phosphoenolpyruvate carboxylase in the genome
221 sequences of A. pasteurianus IFO 3283 and A. pasteurianus 386B (21, 40).
222 Additionally, activity of phosphoenolpyruvate carboxykinase is predicted putatively
223 (APA01_16650) (40), however, since there is no experimental evidence, it was not
224 considered in the network. Due to absence of phosphofructokinase, the EMP pathway
225 is non-functional (21).
226
227 Estimation of metabolic fluxes.
228 Metabolic flux distributions were estimated with OpenFLUX v 2.1 (45). Simulated
229 mass isotopomer data were corrected for natural occurrence of isotopes in 9
230 derivatization residues and non-carbon atoms (46), whereby the natural abundance of
231 isotopes reflected values from laboratory chemicals (47). For statistical evaluation of
232 the obtained fluxes, Monte-Carlo analysis was performed with 100 individual
233 parameter estimations, assuming Gaussian noise for the experimental data (48).
234
235 Results
236 Computer-based experimental design predicts optimum combinations of 13C
237 lactate and ethanol to resolve metabolic fluxes in Acetobacter. In the medium
238 that represented cocoa pulp, lactate and ethanol were the primary substrates, among
239 complex ingredients. In order to elucidate metabolic fluxes in AAB growing on this
240 complex nutrient mixture, a strategy of combined isotope experiments was developed
241 (Figure 2). Of central importance was the identification of suitable tracer substrates to
242 resolve the fluxes of interest. In a set of computer simulations with varied
243 combinations of 13C labelled lactate and ethanol, excellent resolution of metabolic
244 fluxes was obtained by a combination of [U-13C] lactate, [U-13C] ethanol, and [3-13C]
245 lactate. The relative contribution of de-novo synthesis and uptake from the medium to
246 amino acid supply could be quantified using a mixture of [U13C] lactate and [U13C]
247 ethanol, as deduced previously (49). Individual contribution of lactate and ethanol to
248 central metabolism was elucidated by applying mixtures of one universally labeled
249 and one naturally labeled substrate in two separate labeling experiments. For a more
250 detailed resolution of pathway fluxes, a mixture of [3-13C] lactate and naturally labeled
251 ethanol was found adequate. Taken together, metabolic flux analysis of the acetic
252 acid bacteria integrated labeling information from four parallel tracer studies (Figure
253 2).
254
10
255 Quantification of the labeling profile of acetoin. Previously developed protocols
256 allow precise labeling analysis of proteinogenic amino acids (50) and of secreted
257 acetate (30) from isotope experiments. In order to provide the full picture, a method
258 for labeling analysis of secreted acetoin, another typical product of acetic acid
259 bacteria, had to be developed. Tests with different reagents and incubation conditions
260 (data not shown) finally provided a stable PFBHA-BSTFA derivate of acetoin that
261 eluted as separate peak after 9.4 min, as shown in the GC/MS chromatogram (Figure
262 3 A). Accuracy of the measurement was validated by analyzing naturally and
263 universally 13C labeled acetoin, respectively. Resulting mass isotopomer distributions
264 perfectly matched with theoretical values, derived from the natural isotope abundance
265 (47) (Table 1). Potential isobaric overlay of acetoin ion clusters with sample matrix
266 was excluded by comparative analysis of acetoin from supernatant of a culture of A.
267 pasteurianus NCC 316 grown on naturally labelled substrates (Table 1). Accordingly,
268 the developed method was appropriate to quantify the labeling of acetoin from isotope
269 experiments in cocoa pulp simulation medium.
270
271 Growth physiology of A. ghanensis DSM 18895 and A. pasteurianus NCC 316.
272 A. pasteurianus NCC 316 co-consumed lactate and ethanol within 8 h of fermentation
273 (Figure 4). During the first growth phase, acetate was the main product with a total
274 amount of 140 mM. Additionally, acetoin (18 mM) and pyruvate were produced (13
275 mM). Biomass reached a concentration of 1.4 CDW g liter−1 and the pH remained
276 relatively stable at 4.3. The fluxes of substrate uptake and product formation during
277 this phase are listed in Table 3. Concentration of dissolved oxygen (DO) decreased
278 and reached a minimal level of 8% after 8 h of cultivation, which ensures fully aerobic
279 conditions during the process. With depletion of lactate and ethanol, the dissolved
280 oxygen level sharply increased. A. pasteurianus NCC 316 then revealed an 11
281 intermediate lag-phase (Figure S1, Supplementary Material). After 20 h, cells started
282 to metabolize acetate, indicated by the decrease of DO. Further on, biomass
283 increased to a maximum of 2.7 g liter−1 and the final pH after 54 h of cultivation was
284 8.0.
285
286 A. ghanensis DSM 18895 exhibited similar fermentation characteristics (Figure S2,
287 Supplementary Material). During the first phase of fermentation, lactate and ethanol
288 were co-utilized. The concentration of acetate at the end of this growth phase (9 h)
289 was 139 mM, while the DO reached a minimum of 28%, biomass concentration was
290 1.0 g liter−1 and the pH was 4.4. Additionally, 12 mM of acetoin, but no significant
291 amounts of pyruvate were formed. While ethanol had been exhausted completely
292 when growth stopped, considerable amounts of lactate (22 mM) remained in the
293 medium and were not metabolized further during the transient lag-phase. During a
294 second growth phase, lactate and acetate were then metabolized and biomass
295 concentration reached a maximum of 1.9 g liter−1. The final pH was 8.5 after 54 h of
296 fermentation.
297
298 Overall, both AAB species preferred a combination of lactate and ethanol for their
299 metabolism. However, in the absence of lactate and ethanol, cells could re-utilize
300 acetate.
301
302 Metabolic origin of proteinogenic amino acids. In a first set of isotope
303 experiments, cells were grown on fully 13C labelled lactate or ethanol, respectively,
304 together with non-labelled complex nutrients. According to the experimental design,
305 the 13C labeling pattern of amino acids from cell protein directly provided information
306 on their metabolic origin, i.e. relative contribution of either lactate or ethanol to de- 12
307 novo biosynthesis of amino acids during the first exponential growth phase. GC/MS
308 analysis of proteinogenic amino acids of A. ghanensis DSM 18895 and A.
309 pasteurianus NCC 316 revealed a clear picture (Table S5, Supplementary Material).
310 Aromatic amino acids and amino acids of the serine family were exclusively produced
311 from lactate. These amino acids were naturally labeled, when [U-13C] ethanol was
312 present in the fermentation medium, but were enriched in 13C, when [U-13C] lactate
313 was used. Likewise, also amino acids of the pyruvate family were almost exclusively
314 derived from lactate. This was also observed for lysine and isoleucine, which
315 predominantly originated from lactate. Ethanol contributed only to a small set of
316 biosynthetic pathways. Amino acids, stemming from the TCA cycle, including
317 compounds that belong to the aspartate and the glutamate family were synthesized
318 form both, lactate and ethanol.
319
320 Contribution of lactate and ethanol to the major fermentation products of A.
321 pasteurianus NCC 316 and A. ghanensis DSM 18895. The same isotope
322 experiments were next inspected for contribution of lactate and ethanol to the major
323 products: acetate and acetoin. For this purpose, labeling of the latter was quantified
324 from culture supernatants that were derived from cultures with cocoa pulp simulation
325 medium (first exponential growth phase), containing [U-13C] lactate or [U-13C] ethanol,
326 respectively, as trace (Tables S7 and S8, Supplementary Material). Taken together,
327 both microorganisms produced most of acetate (96-98%) from ethanol (Figure 5B).
328 Analogously, acetoin resulted from metabolism of lactate. Together with the picture
329 from amino acid biosynthesis, this indicated a surprising separation of metabolism.
330 Both strains exhibited two functional pathway modules, related to the utilization of
331 lactate and ethanol with only weak exchange fluxes.
332 13
333 Enzyme repertoire of A. pasteurianus NCC 316 and A. ghanensis DSM 18895.
334 The obviously poor interconnection of the metabolism of lactate and ethanol raised
335 questions on the enzymatic set-up around the PEP-pyruvate-acetyl CoA node, where
336 the two carbon sources are channeled into core metabolism (Figure 1). A.
337 pasteurianus NCC 316 and A. ghanensis DSM 18895 were tested positive for
338 isocitrate dehydrogenase, an enzyme of the oxidative TCA cycle (Table 2). In both
339 strains, PEP carboxylase was active as anaplerotic enzyme. PEP carboxykinase and
340 malic enzyme, enzymes of gluconeogenesis, however, were not expressed (Table 2).
341
342 Impact of the microbial community on metabolite profiles in simulated cocoa
343 pulp fermentations. A set of experiments investigated performance of AAB during an
344 entire two-step cocoa fermentation process. The study combined three different set-
345 ups for the first phase (only L. fermentum, only S. cerevisiae, L. fermentum plus S.
346 cerevisiae) with a second fermentation phase, inoculated with A. pasteurianus NCC
347 316. In all cases, A. pasteurianus NCC 316 was grown on a filtrate of pre-fermented
348 medium from one of the first-phase incubations. High amounts of lactate and acetate,
349 but no ethanol was obtained, when L. fermentum NCC 575 was used as a starter in
350 the first phase of simulated cocoa pulp fermentation (Table 4). Citrate, which was part
351 of the simulation medium, was largely metabolized by the lactic acid bacteria. The
352 second fermentation phase using A. pasteurianus NCC 316 as starter strain resulted
353 in a significant reduction of lactate, together with a consumption of acetate, whereas
354 low levels of citrate remained unchanged. A completely different picture was
355 observed, when the cocoa pulp simulating medium was incubated with S. cerevisiae
356 NYSC 2. Here, extremely large amounts of ethanol were formed, whereas only low
357 levels of lactate and acetate resulted. The concentration of citrate remained almost
358 unchanged (12). This mixture appeared not optimal for A. pasteurianus NCC 316. The 14
359 AAB only partially utilized ethanol and formed only small amount of acetate (20 mM).
360 The best performance of A. pasteurianus NCC 316, visualized by largest amounts of
361 acetate were observed, when L. fermentum and S. cerevisiae were co-cultivated
362 during the initial step of fermentation. After the second phase of fermentation a total
363 amount of 121 mM acetate was observed as sole product, while citrate, lactate and
364 ethanol had been consumed almost completely.
365
366
15
367 Discussion
368 Acetic acid bacteria exhibit a functionally separated metabolism during co-
369 consumption of carbon two and carbon three substrates. Both Acetobacter
370 species synthesized acetate almost exclusively from ethanol, while only 2-4%
371 originated from lactate (Figure 5 B). This was contrary to expectations, because
372 previously it has been suggested that ethanol as well as lactate are converted by A.
373 pasteurianus 386B into acetate (12), but is in line with recent indications from
374 metabolite balancing (23). Based on 13C labeling, our results clearly show that lactate
375 is poorly oxidized into acetate. Vice versa ethanol does not contribute to acetoin
376 formation. The latter is completely derived from lactate via pyruvate as a precursor
377 (Figure 1). Furthermore, our results suggest that the pyruvate decarboxylase pathway
378 is not involved in acetoin formation, since this pathway would use acetaldehyde,
379 produced during assimilation of ethanol (51). Instead, acetoin is synthesized solely via
380 α-acetolactate. Absence of pyruvate decarboxylase activity (low activity) seems likely
381 responsible for the low contribution of lactate to acetate formation.
382
383 From an energetic perspective, complete oxidation of lactate via the TCA cycle seems
384 optimal (4 moles ATP per mole of lactate) (Table 5). In contrast, conversion of lactate
385 into acetoin leads to low ATP formation. Further experiments showed that lactate-
386 grown A. pasteurianus NCC 316 indeed shifts from acetoin formation to complete
387 oxidation of lactate into CO2, when ethanol is omitted from the medium (data not
388 shown). We conclude that the TCA cycle is suppressed in the presence of ethanol
389 (52) and that acetoin is an overflow metabolite of pyruvate. Nevertheless, acetoin
390 formation may be advantageous for cellular homoeostasis, as this compound is less
391 toxic than the organic acid. In this regard, acetoin formation could be favorable over
392 acetate production. Analogously, oxidation of ethanol into acetate and formation of 16
393 acetoin from lactate seem to be inefficient from an energetic point of view (Table 5).
394 However, the cells metabolized both products in a second growth phase (Figure S1)
395 without significant loss of energy compared to the total oxidation of lactate and
396 ethanol (Table 5). Additionally, complete oxidation of lactate via acetate as an
397 overflow metabolite is less efficient (2 moles of ATP per mole of lactate) than
398 complete oxidation of lactate via acetoin (3 moles of ATP per mole of lactate). All this
399 together indicates that A. pasteurianus NCC 316 and A. ghanensis DSM 18895 have
400 adapted their metabolism to a strategy which aims at optimization of speed rather
401 than efficiency (53).
402
403 As a central finding, our data demonstrate a strict separation of carbon-two (ethanol,
404 acetaldehyde, acetate) and carbon-three (lactate, pyruvate, phosphoenolpyruvate)
405 metabolism in AAB. As example, this becomes obvious from the biosynthesis of
406 amino acids. These are synthesized from precursors of the TCA cycle, from the
407 pentose phosphate pathway and from gluconeogenesis (Figures 1 and 4A).
408 Interestingly, all amino acids stemming from intermediates upstream of pyruvate are
409 produced exclusively from lactate during the first growth phase. This confirms that
410 carbon from ethanol does not enter this upper part of metabolism. As exception of the
411 otherwise strongly separated functional modules of lactate and ethanol metabolism, a
412 minor fraction of lactate-derived carbon replenishes the TCA cycle. Such a separated
413 metabolism is rarely observed in prokaryotic cells and rather a property of eukaryotes,
414 which possess cellular compartments (54). One rare example of a bacterium with a
415 disconnected metabolism is L. fermentum (30, 55). Here, glucose is an energy
416 source, while fructose is entirely used as electron acceptor for NADH + H+. Thus,
417 separation of metabolism seems to be a property of bacteria with a rather specialized
418 metabolism. AAB are specialized to membrane-bound oxidating systems for acetate 17
419 production (41, 56, 57). These systems are directly coupled to respiratory chains,
420 located at the cytoplasmic membrane and allow oxidation of external substrates in a
421 rather simple manner (41). Since reaction takes place in the periplasm, no further
422 transport across the membrane into the cytoplasm is required. Thus, although this
423 incomplete oxidation is apparently inefficient (Table 5), it enables bacteria to generate
424 energy with a small set of enzymes. In contrast, channeling of ethanol or acetate into
425 central metabolism via acetyl-CoA synthetase costs two extra moles of ATP (22, 52,
426 53). Additionally, the glyoxylate shunt is missing in A. pasteurianus (21, 40) and A.
427 ghanensis (31). As a consequence, ethanol cannot serve as an efficient source for
428 precursors that drain into biomass such as oxaloacetate, phosphoenolpyruvate (PEP)
429 and pyruvate. Analogously, it was shown previously that A. ghanensis DSM 18895
430 and A. pasteurianus NCC 316 did not grow on ethanol with ammonium as the only
431 nitrogen source (31). However, due to direct drain of intermediates from TCA cycle to
432 biomass, amino acids are partly derived from ethanol (Figure 5A). Although, as
433 discussed above, a part of ethanol replenishes the TCA cycle, gluconeogenic
434 intermediates are not derived from ethanol.
435
436 Functional separation of carbon two and the carbon three metabolism in acetic
437 acid bacteria under pulp simulating conditions is created by a lack of
438 phosphoenolpyruvate carboxykinase and malic enzyme. The link between
439 metabolism of carbon-two compounds such as ethanol and of carbon-three
440 compounds through gluconeogenesis, respectively, are cataplerotic reactions of
441 phosphoenolpyruvate carboxykinase (PEPCK) and malic enzyme (ME) (Figure 1).
442 These reactions convert intermediates from TCA cycle (oxaloacetate, malate) into
443 PEP, which in turn enters the gluconeogenesis.
444 18
445 A deeper inspection of labeling patterns provides direct evidence on their in vivo
446 significance. In the case of a back flux from oxaloacetate to PEP, one would expect
13 447 equal C enrichment in carbons C1 and C2 of oxaloacetate and in corresponding
448 carbons of PEP. In contrast to significant enrichment in the oxaloacetate pool of A.
449 pasteurianus NCC 316, the PEP pool is completely non labeled (Figure 6 A). We
450 conclude that the flux through PEPCK is zero. In agreement, cells do not exhibit
451 activity for this enzyme (Table 2). These results suggest that, in fact, the genome of
452 A. pasteurianus NCC 316 is lacking PEPCK. Also, ME is not active, so that a potential
453 contribution of TCA cycle metabolites to gluconeogenetic back flux can be excluded.
454 In fact, the upper part of metabolism is directly supplied from lactate, e.g. for
455 biosynthesis of amino acids of the serine and the aromatic family, respectively (Table
456 S5, Supplementary Material). In this regard, Acetobacter species can make use of
457 pyruvate phosphate dikinase, which converts pyruvate directly into PEP (58, 59).
458 Notably, this reaction requires two moles of ATP. Figure 6B shows that the 13C
459 labeling patterns of pyruvate and PEP from isotope experiments are virtually identical.
460 Similarly, A. aceti lacks oxaloacetate decarboxylation during growth on carbon-three
461 substrates, while pyruvate phosphate dikinase is active (58, 60). Thus, pyruvate
462 phosphate dikinase seems to play an important role for gluconeogenesis of A.
463 pasteurianus NCC 316 and A. ghanensis DSM 18895. Analogously to A. aceti (61),
464 anaplerotic phosphoenolpyruvate carboxylase (PEPC) was present in A. pasteurianus
465 NCC 316 and A. ghanensis DSM 18895 (Table 2).
466
467 Different enzymes form the metabolic link between glycolysis, gluconeogenesis and
468 TCA cycle (Figure 7). In general, this node is flexible to adjust metabolism to anabolic
469 and energetic demands under a given condition (27). Additionally, in some bacteria,
470 carbon flux control through the PEP-pyruvate-oxaloacetate node is complex, e.g. PC 19
471 and ME are simultaneously active during growth on glucose (62, 63). In contrast, A.
472 pasteurianus NCC 316 and A. ghanensis DSM 18895 use a rather reduced enzymatic
473 set-up. For instance, to form PEP out of pyruvate, Corynebacterium glutamicum uses
474 pyruvate carboxylase (PC) and PEPCK (Figure 7). In this set of reactions, two moles
475 of ATP are consumed in order to produce one mole of PEP. Although genes for these
476 enzymes are annotated in the genomes of A. pasteurianus IFO 3283_01 and 386B
477 (Table S1), this mode is not used by A. pasteurianus NCC 316 and A. ghanensis
478 DSM 18895. This seems reasonable, because in the presence of an active pyruvate
479 phosphate dikinase lack of PEPCK prevents futile cycling. Due to this reduced
480 enzymatic set-up, however, there is no interconnection between carbon-three and
481 carbon-two substances in these microorganisms, at least not under the conditions
482 studied. Switching the regulation of malic enzyme expression could be the key event
483 to switch to different metabolic modes, probably needed in other environments.
484
485 The full picture - metabolic flux distribution of A. pasteurianus.
486 Information on the metabolic repertoire from genome annotation (Figure 1), enzyme
487 measurements (Table 2), together with experimental data on growth and product
488 formation (Table 3) and 13C patterns from the parallel isotope studies (Table S12) was
489 now integrated. Based on experimental findings, the metabolic network could be
490 condensed into a model (Table S11, Supplementary Material) that allowed high
491 resolution flux estimations (more detailed information is available in the Appendix).
492 The resulting metabolic flux distribution is shown in Figure 8. Ethanol is converted
493 almost completely into acetate. Because, corresponding dehydrogenases are directly
494 linked to the respiratory chain in A. pasteurianus (41, 56), one molecule of ethanol
495 oxidized into acetate account for two electron pairs. With a P/O ratio of 0.5 (53), this
496 corresponds to 62 mmol ATP per 100 mmol of total substrate influx and 53% of total 20
497 ATP formation. The TCA cycle contributed to 39% of total ATP formation, which is
498 composed of 17% ATP from ethanol metabolism and 23% ATP from lactate
499 metabolism. Lactate conversion into acetoin is responsible for 8% of the ATP pool.
500 Thus, ethanol is the major energy source of A. pasteurianus NCC 316 under
501 conditions of cocoa fermentation. In contrast, lactate is the main source for the
502 pyruvate pool, which in turn supplies the cell with precursors for biomass compounds
503 such as amino acids. However, the major part of pyruvate (64% of the total pyruvate /
504 PEP pool) is directed towards acetoin forming pathway(s). As a result, carbon flux
505 through the TCA cycle is only 15% of the total carbon uptake. This might be due to
506 suppression of the TCA cycle in the presence of ethanol (52). Considering the fully
507 aerobic growth conditions, this suggests that acetoin is formed as an overflow-
508 metabolite. Additionally, decreased activity of the TCA cycle prevents a catabolic
509 breakdown of acetate.
510
511 In addition to lactate and ethanol as main energy and carbon sources, respectively,
512 some amino acids played a superior role in central metabolism of A. pasteurianus
513 NCC 316 (Figure 8). A small portion of alanine is catabolized and supports the
514 pyruvate pool. Obviously, aspartate serves as a source of oxaloacetate and
515 replenishes the TCA cycle, replacing anaplerosis via PEP carboxylase (PEPC).
516 Glutamate is involved in biosynthetic reactions as a donor of amino groups (64),
517 therefore there is a steady interconversion between glutamate and its keto acid, α-
518 keto glutarate. Although alanine, aspartate and glutamate are metabolized,
519 biosynthesis of these amino acids is active, suggesting that the involved biosynthetic
520 reactions are constitutive in A. pasteurianus NCC 316.
521
21
522 Bacteria require NADPH + H+ for many biosynthetic processes. The cofactor is
523 typically formed through the pentose phosphate pathway (glucose 6-phosphate
524 dehydrogenase) and the TCA cycle (isocitrate dehydrogenase) (65–67). Since the
525 pentose phosphate pathway is poorly active in A. pasteurianus NCC 316, we
526 wondered, how A. pasteurianus covers its biosynthetic demand for NADPH + H+.
527 Considering cellular composition (68) and incorporation of amino acids from the
528 extracellular environment, the biosynthetic NADPH + H+ requirement equals
529 approximately 7 mmol/g CDW. Due to low biomass yield (Table 3), this corresponds
530 to only 5% of total substrate uptake and 7% of ethanol conversion. In contrast, E. coli
531 requires 16-17mmol NADPH + H+ per g CDW, which corresponds to 140% of the
532 glucose uptake flux (69). Through isocitrate dehydrogenase, the TCA cycle provides
533 A. pasteurianus NCC 316 with 22 mmol of NADPH + H+ per g CDW (Figure 8).
534 Additionally, A. pasteurianus is able to produce NAD(P)H + H+ via soluble alcohol and
535 aldehyde dehydrogenases (21, 51). Among species of Acetobacter, only a soluble
536 aldehyde dehydrogenase of Acetobacter rancens (later synonym of A. pasteurianus),
537 which requires NADP+, has been characterized (70). Furthermore, an NAD+-
538 dependent soluble alcohol dehydrogenase was identified in A. pasteurianus (51). This
539 indicates that additionally 15 mmol of NADPH + H+ per g CDW are formed from
540 intracellular metabolic breakdown of ethanol. Hence, the biosynthetic NADPH
541 demand of A. pasteurianus NCC 316 is fully covered, in fact there seems to be an
542 apparent excess of NADPH + H+. A proton-translocating nicotinamide nucleotide
543 transhydrogenase might be involved in NADPH oxidation (21).
544
545 Taken together, the metabolic flux distribution highlights specific roles of lactate and
546 ethanol for central metabolism of A. pasteurianus NCC 316 during cocoa pulp
547 fermentation. In this constellation, the main role of ethanol is to generate metabolic 22
548 energy via acetate production. While lactate is also an energy source, it additionally
549 supports growth by forming precursors, particularly via gluconeogenesis and pentose
550 phosphate pathway. Thereby, acetate production is intensified, which is one of the
551 main purposes of cocoa fermentation. Consequently, a balanced ratio of lactate and
552 ethanol is important for success of the fermentation process.
553
554 Species interactions determine the quality of cocoa fermentation. The formation
555 of adequate amounts of acetate is critical for well-fermented cocoa beans (1, 2),
556 Among the simulated triculture cocoa pulp fermentation, the largest amount of acetate
557 is obtained when L. fermentum NCC 575 and S. cerevisiae NYSC 2 are co-cultivated
558 in the first phase of fermentation. LAB produce lactic acid, which supports growth of
559 A. pasteurianus NCC316. Ethanol supplied by yeasts is required for synthesis of
560 acetate by the acetic acid bacteria and suppression of acetate-degrading enzymes.
561 Furthermore, LAB reduce the amount of citrate and AAB degrade lactate, which
562 positively affects the flavor of the cocoa beans (14). When the cultivation is performed
563 with only L. fermentum NCC 575 in the first phase of cultivation, A. pasteurianus
564 NCC316 even degrades acetate. For this reason, high levels of ethanol, produced
565 during the initial phase of cocoa pulp fermentation, seem to be important in order to
566 repress breakdown of acetate. Similarly, low amounts of acetate are produced, when
567 only yeast is present in the first phase of simulated cocoa fermentation, since AAB
568 form little biomass on ethanol (53, 71). These findings clearly show that the pathway
569 activities of LAB, AAB and yeast is important for a successful fermentation of cocoa
570 pulp (11, 23, 72).
571
572 Acknowledgements
23
573 We thank Stéphane Duboux and Christof Gysler for their support in providing strains
574 of the Nestlé Culture Collection. We further appreciate the technical assistance of
575 Elena Kempf, Sandra Hübner and Martin Wewers.
576
577
578
24
579 Appendix: Metabolic model for flux calculations. The metabolic model for flux
580 estimations was derived from the genomic repertoire (see Figure 1) and experimental
581 findings of this study. Extracellular fluxes are given in Table 3. Since PEPCK and ME
582 were found inactive, these reactions were not included. Furthermore, the
583 gluconeogenesis and pentose phosphate pathway were lumped, since these
584 pathways could not be distinguished in this complex environment. Additionally, the
585 gluconeogenesis, pentose phosphate pathway and TCA cycle were considered
586 irreversible. Because acetoin was produced exclusively from lactate, the acetoin
587 synthesis pathway was simplified. Pyruvate and PEP were pooled, due to potentially
588 parallel activity of PEPC and pyruvate carboxylase. Additionally, malate and
589 oxaloacetate as well as erythrose 4-phosphate and pentose 5-phosphate were
590 lumped, respectively. The drain of precursors to biomass was derived from the
591 bacterial cell composition (68). Additionally, the degrees of de novo synthesis of
592 amino acids were considered, as determined from the experiments. The degrees of
593 synthesis of some amino acids (arginine, cysteine, methionine, and proline) were not
594 determined directly but deduced from other amino acids of the same families. The
595 contribution of histidine to the biomass was negligible (68). The mass isotopomer
596 distributions of the [M-57] fragments of alanine, valine, glutamate and aspartate, the
597 [M-95] fragment of glutamate, the fragments at m/z = 302 of valine, aspartate, and
598 additionally the labeling of acetate were used to fit the model. For this reason, the
599 corresponding uptake fluxes of the amino acids were determined by the model fit.
600 Additionally, deamination of alanine, aspartate and glutamate was considered in the
601 metabolic model.
602
25
603 Identical flux distributions, obtained from diverse parameter optimization runs with
604 multiple initialization values, indicated that a global optimum was found. The mean
605 squared error between experimental and simulated mass isotopomer distributions
606 was 4.2·10-4, indicating an excellent fit. From Monte-Carlo simulations an averaged
607 error of 0.88 of the resulting metabolic fluxes was obtained.
608
609
610
611
26
612 Nomenclature
613 3PG 3-phosphoglycerate
614 AAB acetic acid bacteria
615 AcCoA acetyl coenzyme A
616 Ala alanine
617 aKG alpha-ketoglutarate
618 Asp aspartate
619 BSTFA bis-(trimethylsilyl)trifluoroacetamide
620 DO dissolved oxygen
621 E4P erythrose 4-phosphate
622 GC/MS gas chromatography / mass spectrometry
623 Glu glutamate
624 Gly glycine
625 Ile isoleucine
626 LAB lactic acid bacteria
627 Leu leucine
628 Lys lysine
629 MDH malate dehydrogenase
630 ME malic enzyme
631 MTBE methyl-t-butylether
632 OAA oxaloacetate
633 P5P pentose 5-phosphate
634 PC pyruvate carboxylase
635 PEP phosphoenolpyruvate
636 PEPC phosphoenolpyruvate carboxylase
637 PEPCK phosphoenolpyruvate carboxykinase 27
638 PFBHA O-(2,3,4,5,6-pentafluorobenzyl)hydroxylamine hydrochloride
639 Phe phenylalanine
640 PP pathway pentose phosphate pathway
641 Pro proline
642 PSM cocoa pulp simulation medium
643 Pyr pyruvate
644 Ser serine
645 SD standard deviation
646 Tyr tyrosine
647 TCA tricarboxylic acid
648 Valine valine
649
650
651
652
653
654
655
656
657
28
658 Table 1: Mass isotopomer distribution of acetoin determined by GC/MS. The data
659 comprise means and standard deviations (SD) from duplicate measurements of
660 standard and culture samples and and theoretical values inferred from natural isotopic
661 enrichment in non-labeled substances (47).
662
Fragment Mass Mass isotopomer distribution ± SD isotopomer a fraction Theoretical Unlabeled standard Unlabeled sample
M-15 m+0 0.794 0.792 ± 0.000 0.791 ± 0.002
m+1 0.157 0.156 ± 0.000 0.157 ± 0.000
m+2 0.044 0.044 ± 0.000 0.044 ± 0.000
m+3 0.005 0.006 ± 0.000 0.006 ± 0.000
m+4 0.000 0.003 ± 0.000 0.002 ± 0.002
M-43 m+0 0.811 0.806 ± 0.000 0.807 ± 0.000
m+1 0.142 0.150 ± 0.000 0.151 ± 0.000
m+2 0.041 0.043 ± 0.000 0.042 ± 0.000 663
664 asupernatant of A. pasteurianus NCC 316 grown in cocoa pulp simulation medium.
665
666
667
668
669
670
671
672
673
674
29
675
676 Table 2: Enzymatic repertoire of A. pasteurianus NCC 316 and A. ghanensis DSM 18895
677 during the first growth phase in cocoa pulp simulation medium.
678
Enzyme activity ± SD (U (g CDW)-1) Enzyme A. pasteurianus NCC 316 A. ghanensis DSM 18895
Isocitrate dehydrogenase 66.9 ± 1.3 51.9 ± 5.3 (positive control)
Malic enzyme - decarboxylation n.d.a n.d.a - carboxylation n.d.a n.d.a
PEP carboxylase 20.3 ± 4.3 65.2 ± 15.3
PEP carboxykinase - decarboxylation n.d.a n.d.a - carboxylation n.d.a n.d.a
679
680 aNot detected. Limit of detection < 1 U (g CDW)-1.
681
682
683
684
685
686
687
688
30
689 Table 3: Extracellular fluxes of substrates and products, and corresponding standard
690 deviations (SD) determined from biological duplicates. The data reflect average fluxes from
691 the first exponential growth phase of A. pasteurianus NCC 316.
692
693
694
Lactate Ethanol Acetate Acetoin Pyruvatea Extracellular flux ± 41.3 ± 1.5 106.0 ± 2.2 94.0 ± 3.0 14.3 ± 1.3 0 SD (mmol (g CDW)-1) 695
696 aPyruvate was not formed during the exponential growth phase.
697
698
699
700
701
702
703
31
704 Table 4: Formation of organic acids and ethanol during simulated two-phase cocoa
705 pulp fermentation. For the first phase, PSM-LAB medium was inoculated with L.
706 fermentum NCC 575 and/or S. cerevisiae NYSC 2. The cell-free supernatant of each
707 fermentation broth, obtained after incubation for 24 h, was inoculated with A.
708 pasteurianus NCC 316 and incubated for another 12 h (second phase).
Concentration ± SD (mM)
Citrate Lactate Acetate Ethanol
1st phasea 1.3 ± 0.2 91.1 ± 1.1 106.6 ± 2.0 n.d.d L. fermentum NCC 575 2nd phaseb 1.0 ± 0.2 21.4 ± 1.3 76.0 ± 2.2 n.d. d
1st phasea 47.0 ± 0.4 0.9 ± 0.1 7.5 ± 1.3 360.9 ± 14.5 S. cerevisiae NYSC 2 2nd phaseb 47.1 ± 1.1 0.7 ± 0.1 21.0 ± 5.7 239.2 ± 7.0
L. fermentum 1st phasea 0.2 ± 0.2 104.1 ± 0.2 117.2 ± 3.5 75.4 ± 6.9 NCC 575 + S. cerevisiae 2nd phaseb 0.1 ± 0.1 5.8 ± 6.6 121.5 ± 15.6 n.d. d NYSC 2c 709
710 aAmounts after 24 h of cultivation with L. fermentum NCC 575 and/or S. cerevisiae NYSC 2.
711 bAmounts after 12 h of cultivation with A. pasteurianus NCC 316.
712 cCo-cultivation of both microorganisms.
713 dNot detected. Limit of detection < 0.2 mM.
714
715
716
32
717 Table 5: Energetic efficiency of different metabolic modes for consumption of lactate,
718 ethanol, acetate and acetoin.
719
Mode of NADH + ATP ATP Pathways / key reactions a metabolism H+ (GTP) equivalents Ethanol : 2 0 1 Membrane bound dehydrogenase Acetate (56, 57)
Ethanol : CO2 6 -1 2 Acetyl-CoA synthetase, TCA (22)
Acetate : CO2 4 -1 1 Acetyl-CoA synthetase, TCA (22) Lactate : 2 0 1 Pyruvate decarboxylase (73) acetate
Lactate : CO2 6 1 4 Pyruvate dehydrogenase, TCA (22) Lactate : 1 0 0.5 Acetolactate synthase (21, 40) acetoin
b Acetoin : CO2 10 0 5 Acetoin dehydrogenase, Acetyl- CoA synthetase, TCA (21, 40) 720 aP/O ratio = 0.5 (53).
721 bEquivalent to two molecules of lactate
722
723
33
724 Figure Legends
725
726 Figure 1: Metabolic network of the central carbon metabolism of Acetobacter
727 pasteurianus. Abbreviations of metabolites are listed in the nomenclature section of
728 this manuscript. Enzymatic reactions and there corresponding genes are given in
729 Supplementary Material.
730
731 Figure 2: Labeling strategy to elucidate metabolic fluxes of Acetobacter pasteurianus
732 and Acetobacter ghanensis DSM 18895 in cocoa pulp simulation medium using
733 specifically enriched isotopic tracer substances and mass spectral labeling analysis of
734 proteinogenic amino acids and extracellular products. (A) Theoretical 13C mass
735 isotopomer distribution of alanine obtained by de novo synthesis from the labeled
736 substrates ([U-13C] lactate, [U-13C] ethanol) or amino acid uptake (12C). (B) and (C)
737 Contribution of lactate and ethanol to formation of amino acid precursors. (D)
738 Elucidation of specific metabolic routes of [3-13C] lactate utilization. Black circles
739 indicate 13C labeled carbon atoms, and white circles represent unlabeled carbon
740 (12C).
741
742 Figure 3: GC/MS analysis of the 13C pattern of acetoin in culture supernatant. (A)
743 Total ion current of the sample after derivatization with O-(2,3,4,5,6-
744 pentafluorobenzyl)hydroxylamine (PFBHA) and bis-(trimethylsilyl)trifluoroacetamide
745 (BSTFA), with acetoin eluting after 9.42 min, (B) corresponding mass spectrum of
746 PFBHA-BSTFA-acetoin, (C) chemical structure of PFBHA-BSTFA-acetoin and
747 corresponding fragments M-15 and M-43.
748
34
749 Figure 4: Profile of the first growth phase of A. pasteurianus NCC 316 grown in cocoa
750 pulp simulation medium. The data are means from biological duplicates. Black circles,
751 lactate; white circles, acetate; white diamonds, acetoin; black squares, ethanol; white
752 squares, CDW; white stars, pyruvate; black line, dissolved oxygen.
753
754 Figure 5: (A) Relative contribution of lactate and ethanol to biosynthesis of amino
755 acids. The squares indicate fractions originating from lactate and ethanol that were
756 found in the proteinogenic amino acids of A. pasteurianus NCC 316 (left) and A.
757 ghanensis DSM 18895 (right) during the first growth phase in cocoa pulp simulation
758 medium. The full data are given in Supplementary Material (Table S5). Abbreviations
759 of metabolites are listed in Nomenclature. (B) Relative contribution (%) of lactate and
760 ethanol to formation of acetate and acetoin in A. pasteurianus NCC 316 (upper
761 values) and A. ghanensis DSM 18895 (lower values). Violet circles represent nodes
762 between the modules of lactate and ethanol metabolism.
763
764 Figure 6: Biosynthesis of phosphoenolpyruvate from lactate or ethanol via
765 phosphoenolpyruvate carboxykinase (A) and pyruvate phosphate dikinase (B) by A.
766 pasteurianus NCC 316. (A) Carbon transition in the reaction of phosphoenolpyruvate
767 carboxykinase and experimental labeling profiles of oxaloacetate and
12 13 768 phosphoenolpyruvate resulting from growth on a mixture of [ C3] lactate and [ C2]
769 ethanol. Experimental data are derived from the fragments of aspartate and tyrosine
770 at m/z = 302 (Asp 302, Tyr 302), containing carbon atoms C1 and C2, as described in
771 Supplementary Material. (B) Carbon transition in the reaction of pyruvate phosphate
772 dikinase and experimental labeling profiles of pyruvate and phosphoenolpyruvate,
13 12 773 resulting from growth on a mixture of [ C3] lactate and [ C2] ethanol. Experimental
35
774 data are derived from the fragments of valine and tyrosine at m/z = 302 (Val 302, Tyr
775 302), containing carbon atoms C1 and C2, as described in Supplementary Material.
776
777 Figure 7: The phosphoenolpyruvate-pyruvate-oxaloacetate node in (A)
778 Corynebacterium glutamicum and Bacillus subtilis, (B) Escherichia coli, and (C) A.
779 pasteurianus. Abbreviations of metabolites are listed in Nomenclature, and enzyme
780 names are given in Supplementary Material.
781
782 Figure 8: Metabolic fluxes of A. pasteurianus NCC 316 during the first growth phase
783 in cocoa pulp simulation medium. The data are given as relative fluxes, normalized to
784 the cumulative uptake flux of lactate and ethanol (Tables S10 and S11,
785 Supplementary Material). The relative flux intensity is illustrated by the arrow
786 thickness and the individual contribution of lactate and ethanol to the fluxes is
787 indicated by the arrow color. The net direction of a reversible reaction is indicated by
788 a small arrow. The fluxes were derived via metabolite and isotopomer balancing
789 recruiting extracellular fluxes (Table S11, Supplementary Material), and 13C labeling
790 pattern of proteinogenic amino acids and acetate. Simulated and experimental mass
791 isotopomer distributions are presented in Figure S3 (Supplementary Material). In
792 addition to the net-fluxes, 90% confidence intervals from Monte-Carlo analysis are
793 shown. Abbreviations of metabolites are listed in Nomenclature, extracellular
794 substrates and products are indicated by [x].
795
36
796 References 797 798 1. Biehl B, Passern D, Sagemann W. 1982. Effect of acetic acid on subcellular 799 structures of cocoa bean cotyledons. J. Sci. Food Agric. 33:1101–1109. 800 2. de Brito ES, García NHP, Gallão MI, Cortelazzo AL, Fevereiro PS, Braga MR. 801 2001. Structural and chemical changes in cocoa (Theobroma cacao L) during 802 fermentation, drying and roasting. J. Sci. Food Agric. 81:281–288. 803 3. Quesnel VC. 1965. Agents inducing the death of cacao seeds during fermentation. 804 J. Sci. Food Agric. 16:441–447. 805 4. Forsyth WGC, Quesnel VC. 1963. The mechanism of cacao curing. Adv. 806 Enzymol. Relat. Areas. Mol. Biol. 25:457–492. 807 5. Camu N, de Winter T, Addo SK, Takrama JS, Bernaert H, de Vuyst L. 2008. 808 Fermentation of cocoa beans: influence of microbial activities and polyphenol 809 concentrations on the flavour of chocolate. J. Sci. Food Agric. 88:2288–2297. 810 6. Schwan RF, Wheals AE. 2004. The microbiology of cocoa fermentation and its 811 role in chocolate quality. Crit. Rev. Food. Sci. Nutr. 44:205–221. 812 7. Papalexandratou Z, de Vuyst L. 2011. Assessment of the yeast species 813 composition of cocoa bean fermentations in different cocoa-producing regions 814 using denaturing gradient gel electrophoresis. FEMS Yeast Res 11:564–574. 815 8. Daniel H, Vrancken G, Takrama JF, Camu N, de Vos P, de Vuyst L. 2009. Yeast 816 diversity of Ghanaian cocoa bean heap fermentations. FEMS Yeast Res. 9:774– 817 783. 818 9. Papalexandratou Z, Lefeber T, Bahrim B, Lee OS, Daniel H, de Vuyst L. 2013. 819 Hanseniaspora opuntiae, Saccharomyces cerevisiae, Lactobacillus fermentum, 820 and Acetobacter pasteurianus predominate during well-performed Malaysian cocoa 821 bean box fermentations, underlining the importance of these microbial species for 822 a successful cocoa bean fermentation process. Food Microbiol. 35:73–85. 823 10. Jespersen L, Nielsen D, Honholt S, Jakobsen M. 2005. Occurrence and 824 diversity of yeasts involved in fermentation of West African cocoa beans. FEMS 825 Yeast Res. 5:441–453. 826 11. Lefeber T, Papalexandratou Z, Gobert W, Camu N, de Vuyst L. 2012. On- 827 farm implementation of a starter culture for improved cocoa bean fermentation and 828 its influence on the flavour of chocolates produced thereof. Food Microbiology 829 30:379–392. 830 12. Lefeber T, Janssens M, Camu N, de Vuyst L. 2010. Kinetic analysis of 831 strains of lactic acid bacteria and acetic acid bacteria in cocoa pulp simulation 832 media toward development of a starter culture for cocoa bean fermentation. Appl. 833 Environ. Microbiol. 76:7708–7716. 834 13. Camu N, de Winter T, Verbrugghe K, Cleenwerck I, Vandamme P, 835 Takrama JS, Vancanneyt M, de Vuyst L. 2007. Dynamics and biodiversity of 836 populations of lactic acid bacteria and acetic acid bacteria involved in spontaneous 837 heap fermentation of cocoa beans in Ghana. Appl. Environ. Microbiol. 73:1809– 838 1824. 839 14. Holm CS, Aston JW, Douglas K. 1993. The effects of the organic acids in 840 cocoa on the flavour of chocolate. J. Sci. Food Agric. 61:65–71. 841 15. Papalexandratou Z, Falony G, Romanens E, Jimenez JC, Amores F, 842 Daniel H, de Vuyst L. 2011. Species diversity, community dynamics, and 843 metabolite kinetics of the microbiota associated with traditional Ecuadorian 844 spontaneous cocoa bean fermentations. Appl. Environ. Microbiol. 77:7698–7714. 845 16. Papalexandratou Z, Vrancken G, de Bruyne K, Vandamme P, de Vuyst L. 846 2011. Spontaneous organic cocoa bean box fermentations in Brazil are 37
847 characterized by a restricted species diversity of lactic acid bacteria and acetic acid 848 bacteria. Food Microbiol. 28:1326–1338. 849 17. Camu N, Gonzalez A, de Winter T, van Schoor A, de Bruyne K, Vandamme 850 P, Takrama JS, Addo SK, de Vuyst L. 2008. Influence of turning and 851 environmental contamination on the dynamics of populations of lactic acid and 852 acetic acid bacteria involved in spontaneous cocoa bean heap fermentation in 853 Ghana. Appl. Environ. Microbiol. 74:86–98. 854 18. Lefeber T, Gobert W, Vrancken G, Camu N, de Vuyst L. 2011. Dynamics 855 and species diversity of communities of lactic acid bacteria and acetic acid bacteria 856 during spontaneous cocoa bean fermentation in vessels. Food Microbiol. 28:457– 857 464. 858 19. Garcia-Armisen T, Papalexandratou Z, Hendryckx H, Camu N, Vrancken 859 G, Vuyst L, Cornelis P. 2010. Diversity of the total bacterial community associated 860 with Ghanaian and Brazilian cocoa bean fermentation samples as revealed by a 16 861 S rRNA gene clone library. Appl. Microbiol. Biotechnol. 87:2281–2292. 862 20. Lefeber T, Janssens M, Moens F, Gobert W, de Vuyst L. 2011. Interesting 863 starter culture Strains for controlled cocoa bean fermentation revealed by 864 simulated cocoa pulp fermentations of cocoa-specific lactic acid bacteria. Appl. 865 Environ. Microbiol. 77:6694–6698. 866 21. Illeghems K, de Vuyst L, Weckx S. 2013. Complete genome sequence and 867 comparative analysis of Acetobacter pasteurianus 386B, a strain well-adapted to 868 the cocoa bean fermentation ecosystem. BMC Genomics 14:526. 869 22. Sakurai K, Arai H, Ishii M, Igarashi Y. 2011. Transcriptome response to 870 different carbon sources in Acetobacter aceti. Microbiology 157:899–910. 871 23. Moens F, Lefeber T, de Vuyst L. 2014. Oxidation of metabolites highlights the 872 microbial interactions and role of Acetobacter pasteurianus during Cocoa Bean 873 Fermentation. Appl. Microbiol. Biotechnol. 80:1848–1857. 874 24. de Ley J, Schell J. 1962. Lactate and pyruvate catabolism in acetic acid 875 bacteria. J Gen. Microbiol. 29:589–601. 876 25. de Ley J. 1959. On the formation of acetoin by Acetobacter. J Gen. Microbiol. 877 21:352–365. 878 26. Chandra Raj K, Ingram L, Maupin-Furlow J. 2001. Pyruvate decarboxylase: 879 a key enzyme for the oxidative metabolism of lactic acid by Acetobacter 880 pasteurianus. Arch. Microbiol. 176:443–451. 881 27. Sauer U, Eikmanns BJ. 2005. The PEP–pyruvate–oxaloacetate node as the 882 switch point for carbon flux distribution in bacteria. FEMS Microbiol. Rev. 29:765– 883 794. 884 28. Kohlstedt M, Becker J, Wittmann C. 2010. Metabolic fluxes and beyond— 885 systems biology understanding and engineering of microbial metabolism. Appl. 886 Microbiol. Biotechnol. 88:1065-1075. 887 29. Sauer U, Lasko DR, Fiaux J, Hochuli M, Glaser R, Szyperski T, Wüthrich 888 K, Bailey JE. 1999. Metabolic flux ratio analysis of genetic and environmental 889 modulations of Escherichia coli central carbon metabolism. J. Bacteriol. 181:6679– 890 6688. 891 30. Adler P, Bolten CJ, Dohnt K, Hansen CE, Wittmann C. 2013. Core fluxome 892 and meta fluxome of lactic acid bacteria under cocoa pulp fermentation simulating 893 conditions. Appl. Microbiol. Biotechnol. 79:5670–5681. 894 31. Cleenwerck I, Camu N, Engelbeen K, de Winter T, Vandemeulebroecke K, 895 de Vos P, de Vuyst L. 2007. Acetobacter ghanensis sp. nov., a novel acetic acid 896 bacterium isolated from traditional heap fermentations of Ghanaian cocoa beans. 897 Intern. J. Sys. Evol. Microbiol. 57:1647–1652. 38
898 32. Atlas RM. 2006. Handbook of microbiological media for the examination of 899 food, 2nd ed. CRC Press, Boca Raton, FL. 900 33. Bertani G. 1951. Studies on lysogenesis I: The mode of phage liberation by 901 lysogenic Escherichia coli. J. Bacteriol. 62:293–300. 902 34. Wittmann C, Hans M, Heinzle E. 2002. In vivo analysis of intracellular amino 903 acid labelings by GC/MS. Anal. Biochem. 307:379–382. 904 35. Spaulding R, Charles M. 2002. Comparison of methods for extraction, 905 storage, and silylation of pentafluorobenzyl derivatives of carbonyl compounds and 906 multi-functional carbonyl compounds. Anal. Bioanal. Chem. 372:808-816. 907 36. Bradford MM. 1976. A rapid and sensitive method for the quantitation of 908 microgram quantities of protein utilizing the principle of protein-dye binding. Anal. 909 Biochem. 72:248–254. 910 37. Jetten MSM, Sinskey AJ. 1993. Characterization of phosphoenolpyruvate 911 carboxykinase from Corynebacterium glutamicum. FEMS Microbiol. Lett. 111:183– 912 188. 913 38. Gourdon P, Baucher M, Lindley ND, Guyonvarch A. 2000. Cloning of the 914 malic enzyme gene from Corynebacterium glutamicum and role of the enzyme in 915 lactate metabolism. Appl. Microbiol. Biotechnol. 66:2981–2987. 916 39. Becker J, Klopprogge C, Schröder H, Wittmann C. 2009. Metabolic 917 engineering of the tricarboxylic acid cycle for improved lysine production by 918 Corynebacterium glutamicum. Appl. Microbiol. Biotechnol. 75:7866–7869. 919 40. Azuma Y, Hosoyama A, Matsutani M, Furuya N, Horikawa H, Harada T, 920 Hirakawa H, Kuhara S, Matsushita K, Fujita N, Shirai M. 2009. Whole-genome 921 analyses reveal genetic instability of Acetobacter pasteurianus. Nucleic Acids Res. 922 37:5768–5783. 923 41. Matsushita K, Toyama H, Adachi O. 1994. Respiratory chains and 924 bioenergetics of acetic acid bacteria, p 248. In Rose A, Tempest D (ed), Advances 925 in microbial physiology. Academic Press, San Diego, CA. 926 42. Kondo K, Beppu T, Horinouchi S. 1995. Cloning, sequencing, and 927 characterization of the gene encoding the smallest subunit of the three-component 928 membrane-bound alcohol dehydrogenase from Acetobacter pasteurianus. J. 929 Bacteriol. 177:5048–5055. 930 43. Kanchanarach W, Theeragool G, Yakushi T, Toyama H, Adachi O, 931 Matsushita K. 2010. Characterization of thermotolerant Acetobacter pasteurianus 932 strains and their quinoprotein alcohol dehydrogenases. Appl. Microbiol. Biotechnol. 933 85:741-751. 934 44. Matsutani M, Hirakawa H, Yakushi T, Matsushita K. 2011. Genome-wide 935 phylogenetic analysis of Gluconobacter, Acetobacter, and Gluconacetobacter. 936 FEMS Microbiol. Lett. 315:122–128. 937 45. Quek L, Wittmann C, Nielsen LK, Krömer JO. 2009. OpenFLUX: efficient 938 modelling software for 13C-based metabolic flux analysis. Microb. Cell Fact. 8:25. 939 46. van Winden WA, Wittmann C, Heinzle E, Heijnen JJ. 2002. Correcting mass 940 isotopomer distributions for naturally occurring isotopes. Biotechnol. Bioeng. 941 80:477–479. 942 47. Rosman KJR, Taylor PDP. 1998. Isotopic compositions of the elements 1997. 943 Pure Appl. Chem. 70:217–235. 944 48. Wittmann C, Heinzle E. 2002. Genealogy profiling through strain improvement 945 by using metabolic network analysis: metabolic flux genealogy of several 946 generations of lysine-producing Corynebacteria. Appl. Environ. Microbiol. 68:5843– 947 5859.
39
948 49. Wittmann C, Heinzle E. 2005. Metabolic activity profiling by 13C tracer 949 experiments and mass spectrometry in Corynebacterium glutamicum. In Barredo 950 JL (ed), Methods in Biotechnology. Humana Press, Totowa, NJ. 951 50. Wittmann C, Krömer JO, Kiefer P, Binz T, Heinzle E. 2004. Impact of the 952 cold shock phenomenon on quantification of intracellular metabolites in bacteria. 953 Anal. Biochem. 327:135–139. 954 51. Chinnawirotpisan P, Theeragool G, Limtong S, Toyama H, Adachi OO, 955 Matsushita K. 2003. Quinoprotein alcohol dehydrogenase is involved in catabolic 956 acetate production, while NAD-dependent alcohol dehydrogenase in ethanol 957 assimilation in Acetobacter pasteurianus SKU1108. J Biosci Bioeng 96:564–571. 958 52. Saeki A, Matsushita K, Takeno S, Taniguchi M, Toyama H, Theeragool G, 959 Lotong N, Adachi O. 1999. Enzymes responsible for acetate oxidation by acetic 960 acid bacteria. Biosci. Biotechnol. Biochem. 63:2102–2109. 961 53. Luttik M, van Spanning R, Schipper D, van Dijken JP, Pronk JT. 1997. The 962 low biomass yields of the acetic acid bacterium Acetobacter pasteurianus are due 963 to a low stoichiometry of respiration-coupled proton translocation. Appl. Environ. 964 Microbiol. 63:3345–3351. 965 54. Bowsher CG, Tobin AK. 2001. Compartmentation of metabolism within 966 mitochondria and plastids. Journal of Experimental Botany 52:513–527. 967 55. Aarnikunnas J, von Weymarn N, Rönnholm K, Leisola M, Palva A. 2003. 968 Metabolic engineering of Lactobacillus fermentum for production of mannitol and 969 pure L-lactic acid or pyruvate. Biotechnol. Bioeng. 82:653–663. 970 56. Yakushi T, Matsushita K. 2010. Alcohol dehydrogenase of acetic acid 971 bacteria: structure, mode of action, and applications in biotechnology. Appl. 972 Microbiol. Biotechnol. 86:1257–1265. 973 57. Adachi O, Miyagawa E, Shinagawam E., Matsushita K, Ameyana M. 1978. 974 Purification and properties of particulate alcohol dehydrogenase from Acetobacter 975 aceti. Agric. Biol. Chem. 42:2331–2340. 976 58. Schwitzguebel J, Ettlinger L. 1979. Pyruvate, orthophosphate dikinase from 977 Acetobacter aceti. Arch. Microbiol. 122:103-108. 978 59. Benziman M, Eizen N. 1971. Pyruvate-phosphate dikinase and the control of 979 gluconeogenesis in Acetobacter xylinum. J. Biol. Chem. 246:57–61. 980 60. Schwitzguébel J, Ettlinger L. 1980. Oxaloacetate decarboxylase from 981 Acetobacter aceti. Arch. Microbiol. 124:63-68. 982 61. Schwitzguébel J, Ettlinger L. 1979. Phosphoenolpyruvate carboxylase from 983 Acetobacter aceti. Arch. Microbiol. 122:109-115. 984 62. Petersen S, Graaf AA de, Eggeling L, Möllney M, Wiechert W, Sahm H. 985 2000. In vivo quantification of parallel and bidirectional fluxes in the anaplerosis of 986 Corynebacterium glutamicum. J. Biol. Chem. 275:35932–35941. 987 63. Dauner M, Storni T, Sauer U. 2001. Bacillus subtilis metabolism and 988 energetics in carbon-limited and excess-carbon chemostat culture. J. Bacteriol. 989 183:7308–7317. 990 64. Stephanopoulos G, Aristidou ANJ. 1998. Metabolic engineering. Principles 991 and methodologies, 1st ed. Academic Press, San Diego. 992 65. Csonka LN, Fraenkel DG. 1977. Pathways of NADPH formation in 993 Escherichia coli. J. Biol. Chem. 252:3382–3391. 994 66. Rühl M, Le Coq D, Aymerich S, Sauer U. 2012. 13C-flux analysis reveals 995 NADPH-balancing transhydrogenation cycles in stationary phase of nitrogen- 996 starving Bacillus subtilis. J. Biol. Chem. 287:27959–27970. 997 67. Becker J, Klopprogge C, Zelder O, Heinzle E, Wittmann C. 2005. Amplified 998 expression of fructose 1,6-bisphosphatase in Corynebacterium glutamicum 40
999 increases in vivo flux through the pentose phosphate pathway and lysine 1000 production on different carbon sources. Appl. Microbiol. Biotechnol. 71:8587–8596. 1001 68. Ingraham JL, Maaloe O, Neidhardt FC. 1983. Growth of the bacterial cell. 1002 Sinauer Associates, Sunderland, MA. 1003 69. Sauer U, Canonaco F, Heri S, Perrenoud A, Fischer E. 2004. The soluble 1004 and membrane-bound transhydrogenases UdhA and PntAB have divergent 1005 functions in NADPH metabolism of Escherichia coli. J. Biol. Chem. 279:6613– 1006 6619. 1007 70. Hommel R, Kurth J, Kleber H. 1988. NADP+-dependent aldehyde 1008 dehydrogenase from Acetobacter rancens CCM 1774: purification and properties. 1009 J. Basic Microbiol. 28:25–33. 1010 71. Russell JB, Cook GM. 1995. Energetics of bacterial growth: balance of 1011 anabolic and catabolic reactions. Microbiol. Reviews 59:48–62. 1012 72. Ho VTT, Zhao J, Fleet G. 2014. Yeasts are essential for cocoa bean 1013 fermentation. Intern. J. Food Microbiol. 174:72–87. 1014 73. Chandra Raj K, Ingram L, Maupin-Furlow J. 2001. Pyruvate decarboxylase: 1015 a key enzyme for the oxidative metabolism of lactic acid by Acetobacter 1016 pasteurianus. Arch. Microbiol. 176:443–451. 1017
41