Literature DB >> 29230577

Long-term adaptation of Escherichia coli to methanogenic co-culture enhanced succinate production from crude glycerol.

Nam Yeun Kim1, Su Nyung Kim2, Ok Bin Kim3,4.   

Abstract

Escherichia coli can hardly grow anaerobically on glycerol without exogenous electron acceptor. The formate-consuming methanogen Methanobacterium formicicum plays a role as a living electron acceptor in glycerol fermentation of E. coli. Wild-type and mutant E. coli strains were screened for succinate production using glycerol in a co-culture with M. formicicum. Subsequently, E. coli was adapted to glycerol fermentation over 39 rounds (273 days) by successive co-culture with M. formicicum. The adapted E. coli (19.9 mM) produced twice as much succinate as non-adapted E. coli (9.7 mM) and 62% more methane. This study demonstrated improved succinate production from waste glycerol using an adapted wild-type strain of E. coli with wild-type M. formicicum, which is more useful than genetically modified strains. Crude glycerol, an economical feedstock, was used for the cultivation. Furthermore, the increase in methane production by M. formicicum during co-culture with adapted E. coli illustrated the possibility of energy-saving effects for the fermentation process.

Entities:  

Keywords:  Crude glycerol; Escherichia coli; Long-term adaptation; Methanobacterium formicicum; Succinate

Mesh:

Substances:

Year:  2017        PMID: 29230577      PMCID: PMC5762792          DOI: 10.1007/s10295-017-1994-0

Source DB:  PubMed          Journal:  J Ind Microbiol Biotechnol        ISSN: 1367-5435            Impact factor:   3.346


Introduction

Crude glycerol is an excellent feedstock candidate that is discarded as waste from biodiesel production [4, 5]. The waste glycerol from biodiesel production accounts for approximately 10% (w/w), or approximately 14 million tons [1, 19]. The bioconversion of glycerol to chemical building blocks is important to support the biofuel industry, as well as to lower production costs for succinate. Succinate is a multi-purpose platform chemical that can be produced from renewable biomass by microbes [8, 20, 25]. The global succinate market has experienced steady growth and reached 157.2 million USD and 58.5 kilotons in 2015 [9]. Various groups studied the succinate production from glycerol. The microbes known to produce succinate from glycerol are Anaerobiospirillum succiniciproducens [6], Pasteurellaceae family species and Mannheimia succiniciproducens [17], Actinobacillus succinogenes [24], Yarrowia lipolytica [29], Corynebacterium glutamicum [8], and Escherichia coli. Several studies have investigated the succinate production from glycerol using E. coli strains. Dharmadi et al. [4] focused on the pH-dependent mechanism of the E. coli fermentation of glycerol. They found that the production of CO2 from formate was required for increased glycerol consumption and succinate production. Blankschien et al. [2] improved succinate production by blocking the synthesis of competing by-products and the expression of Lactococcuslactis pyruvate carboxylase, which drives the generation of succinate from pyruvate production. Zhang et al. [30] engineered three gene mutations (pck*, ptsI −, pflB −) in E. coli ATCC 8739. The redirection of carbon flow in the engineered genes resulted in the maximum succinate yield. Soellner et al. [18] constructed a double mutant of E. coli (∆pykA, ∆pykF), from which a fast-growing strain was selected. In the selected strain, the third mutation in PEP carboxylase was found. Most recently, Li et al. [7] engineered an E. coli strain (ldhA −, pflB −, pck*) and performed two-stage fermentation that lead to an enhanced succinate production. In addition, A. succinogenes also enhanced succinate production from glycerol in the presence of dimethyl sulfoxide (DMSO) under controlled continuous microaerobic culture [16]. The mainstream approach of genetic engineering has generally adopted strategies for glucose fermentation, i.e., the elimination of competing pathways with the adjustment of the redox-balance and strengthening of the C3 to C4 branch, combined with process engineering to overcome the intrinsic redox imbalance [23]. E. coli strains rarely grow with glycerol in anaerobic conditions in the absence of an external electron acceptor: glycerol is imported by glycerol facilitator (GlpF), activated by glycerol kinase (GlpK) with ATP consumption, and oxidized to dihydroxyacetone phosphate (DHAP), whereby menaquinone (MQ) is reduced to menaquinol (MQH2) (Fig. S1). MQH2 emerges as every glycerol utilized, which must be recycled, therefore anaerobic growth on glycerol requires additional electron acceptors such as nitrate, DMSO, trimethylamine N-oxide (TMAO), or fumarate [22], and the amount of endogenous fumarate is not sufficient to recycle MQH2 to MQ. To overcome the redox imbalance of glycerol fermentation, Richter and Gescher [12] introduced the co-culture of E. coli and Methanobacterium formicicum, which uses formate in addition to H2CO2 as its energy sources [15]. Glycerol fermentation and succinate production were higher in the co-cultures than in E. coli monocultures [12]. Our study screened co-cultures of several strains of E. coli (wild-type and genetically modified strains) with M. formicicum. We then adapted the E. coli to co-culture with M. formicicum in glycerol fermentation for 273 days. The long-term adapted E. coli developed in the present study demonstrated approximately twofold higher succinate levels than the non-adapted E. coli during crude glycerol fermentation.

Materials and methods

Strains and culture

E. coli K-12 strain MG1655 was used as the wild-type, and E. coli K-12 BW25113 gene knockout mutants were purchased from the National BioResource Project (National Institute of Genetics, Japan). M. formicicum JF-1 was obtained from the Leibniz Institute German Type Culture Collection (DSMZ, Germany). E. coli cells were anaerobically grown at 37 °C in Luria Broth (Affymetrix inc., USA), and kanamycin (30 µg/mL) was included for mutant E. coli strains. M. formicicum was anaerobically cultivated at 37 °C in DSMZ 119 medium. E. coli and M. formicicum were cultivated up to OD600 1.20 and 0.27, respectively. The adaptation medium contained 3 mM KH2PO4, 1 mM K2HPO4, 4 mM NH4Cl, 5 mM KCl, 6 mM NaCl, 1 mM MgCl2, 21 mM HCO3Na, 5 mM CO3Na2, 0.2 mM of sodium ascorbate, 5.1 mM CaCl2, 10 mL NB trace mineral solution [3], 1.0 mL selenite-tungstate solution (13 mM NaOH, 17 μM Na2SeO3, and 12 μM Na2WO4), 10 mL vitamin solution (DSMZ, media 141), 0.1% (w/v) yeast extract, 1 mM cysteine, and 2 µM resazurin. The pH value was adjusted to 7.0. To adapt E. coli on glycerol fermentation with M. formicicum, the co-cultivation of E. coli and M. formicicum was continuously sub-cultured until the 39th round, where each co-cultivation took 7 days. The co-culture was performed in 100 mL adaptation medium with 70 mM glycerol in 250-mL rubber-stoppered infusion bottles and cultivated anaerobically under a sterile 80% H2 + 20% CO2 gas mixture at 37 °C. Twenty percent of the co-culture pre-stage was inoculated into fresh medium. To this, additional 20% M. formicicum (v/v) that was cultured in DSMZ 119 medium was inoculated. The crude glycerol fermentation medium contained 1.5 mM KH2PO4, 2.3 mM K2HPO4, 9.4 mM NH4Cl, 2 mM MgSO4, 2 mM CaCl2, 38.8 mM NaCl, 0.01 mM FeSO4, 20 mM HCO3Na, trace element solution SL-10 (DSMZ, media 320), 10 mL vitamin solution (DSMZ, media 141), 0.1% (w/v) yeast extract, 0.2% (w/v) casitone, 1.7 mM cysteine, 1.3 mM Na2S, and 2 µM resazurin. Ten percent E. coli (v/v) and 30% M. formicicum (v/v) were inoculated in the medium with 80 mM crude glycerol (AEKYUNG PETROCHEMICAL CO. LTD., Korea) (Table S1), and cultivated at 37 °C for 4 days anaerobically under a sterile 80% N2 + 20% CO2 gas mixture. DMSO (50 mM) was used to test the effect of an electron acceptor.

HPLC analysis

Substrates and products in the supernatant of 1-mL cultures were analyzed using a HPLC Hitachi LaChrom Elite system (Hitachi High Technologies, Japan), consisting of an L-2130 pump, an L-2350 column oven, and an L-2200 auto-sampler. Ten-microliter samples were injected and separated using an Aminex HPX-87H ion-exclusion column (300 mm × 7.8 mm i.d., Bio-Rad, USA). The mobile phase was 4 mM H2SO4, which was pumped at a constant flow rate of 0.55 mL/min. The quantitative determination of substances was carried out using an L-2490 refractive index detector and an L-2400 UV detector (210 nm).

Methane determination by GC

One-milliliter sample from the air space of culture was analyzed using a 6500GC System (YL Instruments, Korea). Gas samples were injected and separated using a Carboxen 1006 PLOT column (30 m × 0.53 mm i.d., Sigma-Aldrich Co. LLC., USA). The quantitative determination of methane was carried out using a flame ionization detector (YL Instruments, Korea).

Cell growth analysis

Cell density of mixed M. formicicum and E. coli was determined at 600 nm wavelength using a UV/VIS spectrophotometer (X-ma1200, Human Corporation, Korea). The proliferation of M. formicicum and E. coli cells were quantitated by quantitative real time PCR (qRT-PCR), as described previously [28]. The M. formicicum primers, forward (5′- CGWAG GGAAG CTGTT AAGT-3′) and reverse (5′- TACCG TCGTC CACTC CTT-3′), and E. coli K-12 primers, forward (5′- ACTCC TACGG GAGGC AG-3′) and reverse (5′- GACTA CCAGG GTATC TAATC C-3′), were obtained from Cosmo Genetech (Korea); product sizes were 343 and 468 bp, respectively. Standard curves for the qRT-PCR were obtained by using plasmids that included partial 16S rRNA genes of M. formicicum M.o.H. and E. coli K-12, which were provided by the Environmental Bioprocess Engineering Laboratory (POSTECH, Korea). For standard curves of M. formicicum and E. coli, 16S rRNA gene copy numbers ranged from 2.6 × 109 to 2.6 × 102 and from 2.5 × 109 to 2.5 × 102, respectively. Logarithmic values of different 16S rRNA gene amounts were plotted against the threshold cycle (CT) number from each result. The linear range of the standard curve was selected based on the R 2 value of slopes, which were 0.9964 and 0.9945 for M. formicicum and E. coli, respectively. The average slope and average intercept were calculated, and the resulting equation was used to quantify 16S rRNA gene abundance in samples. CT values of each sample were compared to the corresponding standard curve. Genomic DNA was extracted using NucleoSpin Microbial DNA kits (Macherey–Nagel, Germany) and used as a template for qRT-PCR. Total reaction volume was 20 μL included 400 nM each primer in SensiFAST™ SYBR No-ROX Mix (Bioline, USA). The qRT-PCR analysis used 40 cycles of denaturation at 95 °C for 10 s, annealing at 60 °C for 20 s, and extension at 72 °C for 20 s and was performed in a Corbett Research Rotor-Gen RG-3000A (Qiagen, Germany) and the Rotor-Gene software, version 6.1.93.

Statistics

Statistical analyses were performed using PASW Statistics 18. Unpaired two-tailed student’s t tests were performed to analyze the data. Statistical significance was defined as P < 0.05.

Results and discussion

Co-culture of wild-type or mutant E. coli with M. formicicum

In the co-culture of wild-type E. coli with M. formicicum, glycerol consumption and succinate production were highly improved by 12-fold and 8-fold, respectively, in comparison with the single cultivation (Table 1). Accordingly, other fermentation products were also increased, but formate was used up by M. formicicum (Table 1). To select the most suitable E. coli strain for succinate production during co-fermentation, mutant strains with specific gene deletions (pflB, adhE, pta, or ackA) involved in each competitive pathway against succinate production were cultivated with M. formicicum under the conditions of glycerol fermentation without exogenous electron acceptors (Table S2). The pflB (pyruvate formate lyase) mutant, for which all pathways other than that of succinate production were blocked, served as a negative control. The adhE (alcohol dehydrogenase) mutant did not grow at all in either single- or co-culture, indicating that ethanol production is an unavoidable step. In pta (phosphate acetyltransferase) and ackA (acetate kinase) mutants of E. coli, the acetate production was blocked, with the co-cultures of M. formicicum designed to produce succinate without both formate and acetate. In the co-culture, the pta or ackA E. coli mutants could grow to some extent, but the glycerol consumption was low, and the succinate production level did not exceed half that of wild-type E. coli co-culture (Table S2).
Table 1

Glycerol fermentation in single- and co-culture of Escherichia coli with Methanobacterium formicicum

Consumed (mM)Produced (mM)Cell number (mL−1)
GlycerolSuccinateFormateAcetateEthanol E. coli M. formicicum
Single culture
 E. coli 4.6 ± 1.61.0 ± 0.110.7 ± 3.51.7 ± 0.99.6 ± 2.03.4 × 108 ± 0.4 × 108 ND
Co-culture
 E. coli M. formicicum 53 ± 12.8a 8.0 ± 0.7a 07.3 ± 1.047.2 ± 16.11.1 × 109 ± 0.2 × 109 2.1 × 108 ± 1.2 × 108

Product analysis and cell growth were determined after 7 days of fermentation. Values report means ± standard deviations for three replicates

aValue means a significant difference between single- and co-culture (unpaired samples t test, P < 0.05). ND, not determined

Glycerol fermentation in single- and co-culture of Escherichia coli with Methanobacterium formicicum Product analysis and cell growth were determined after 7 days of fermentation. Values report means ± standard deviations for three replicates aValue means a significant difference between single- and co-culture (unpaired samples t test, P < 0.05). ND, not determined Collectively, co-culture of E. coli mutants with M. formicicum did not efficaciously improve succinate production. Among E. coli strains, we found that wild-type was the best strain for co-culturing with M. formicicum. For this reason, wild-type E. coli was performed into long-term adaptation for succinate production. Moreover, the use of wild-type (non-GMO) microbes is an incomparably large advantage for industrial applications.

Crude glycerol fermentation by long-term adapted or non-adapted E. coli

Without an exogenous electron acceptor, E. coli hardly ferment glycerol. The co-cultivation of E. coli with M. formicicum allows E. coli to promote glycerol fermentation (Table 1), as reported by Richter and Gescher [12]. During co-cultivation for 7 days, E. coli fermented 53 mM of glycerol and produced 8 mM of succinate, while formate was completely consumed by M. formicicum (Table 1). This co-cultivation of E. coli with M. formicicum was adapted via 39 successive rounds. The adaptation lasted 273 days in total, in which each co-cultivation was carried out in batch culture for 1 week, and successively inoculated. The E. coli adapted to glycerol fermentation exhibited a two-fold increase in succinate production (19.9 mM) over non-adapted E. coli (9.7 mM succinate) during crude glycerol fermentation for 96 h (4 days) (Fig. 1; Table 2). Twenty-four percent of the PEP (from 83.8 mM glycerol) was metabolized and reduced to succinate in the adapted E. coli co-culture, whereas only 12% of the PEP (from 82 mM glycerol) was reduced to succinate in the non-adapted E. coli co-culture (Fig. 1; Table 2; Fig. S1). Methane production was higher in the adapted co-culture (206978 ppm) than in the non-adapted (127552 ppm) (Table 2). Methane production is often followed by improved growth or substrate consumption rates of the primary carbon source consumers and methane can easily be collected for use as energy in fermentation processes [12, 27]. The adapted E. coli (14.0 mM) also exhibited improved succinate production in the presence of DMSO compared with non-adapted E. coli (7.2 mM), but co-culture with M. formicicum produced even more succinate (19.9 mM) (Table 2). Co-culture with M. formicicum permitted a higher crude glycerol consumption by E. coli than that of culture with DMSO, which indicated that formate consumption by M. formicicum, a living electron acceptor, is more advantageous than for the supply of the electron acceptor DMSO (Table 2). All product analysis data collected over the course of fermentation, including the pH values, are shown in Tables S3 and S4.
Fig. 1

Succinate production from crude glycerol fermentation during co-culture of Escherichia coli with Methanobacterium formicicum. Solid lines represent succinate production, and dotted lines represent glycerol consumption by adapted (black circles) and non-adapted (gray squares) E. coli. *Value for the adapted E. coli was significantly different from that for the non-adapted E. coli (unpaired samples t test, P < 0.05). Plotted points report the means, and error bars report the standard deviations for independent samples taken in triplicate

Table 2

Fermentative characteristics by adapted Escherichia coli on crude glycerol

39th E. coli M. formicicum 1st E. coli M. formicicum 39th E. coli DMSO1st E. coli DMSO39th E. coli M. formicicum DMSO1st E. coli M. formicicum DMSO
Fermentation
 Consumption (mM)
  Glycerol83.8 ± 0.882.0 ± 1.046.3 ± 1.154.1 ± 1.178.5 ± 1.281.0 ± 1.4
 Production (mM)
  Succinate19.9 ± 1.4a 9.7 ± 0.214.0 ± 0.2a 7.2 ± 019.8 ± 0.5a 12.6 ± 0.4
  Acetate6.1 ± 1.85.3 ± 0.82.7 ± 0a 1.5 ± 0.17.0 ± 0.44.6 ± 1.4
  Ethanol56.9 ± 3.5a 74.8 ± 3.030.8 ± 0.1a 52.2 ± 1.647.3 ± 2.0a 67.5 ± 5.7
  Formate007.6 ± 0.3a 14.4 ± 1.200
  Methane (ppm)206977.7 ± 72056.8127552.0 ± 11659.79105.7 ± 81.5528.0 ± 454.5122956.7 ± 84541.362341.3 ± 3672.3
 Growth
  Cell density (OD600)1.33 ± 0.031.31 ± 0.021.01 ± 0.01a 1.10 ± 01.32 ± 0.021.41 ± 0.03
E. coli cell number (mL−1)8.9 × 108 ± 7.2 × 107 8.5 × 108 ± 1.5 × 108 6.3 × 108 ± 7.0 × 107a 7.8 × 108 ± 5.5 × 107 8.6 × 108 ± 4.0 × 107 9.5 × 108 ± 5.5 × 107
M. formicicum cell number (mL−1)7.8 × 107 ± 1.3 × 107 1.1 × 108 ± 1.7 × 107 NDND6.3 × 107 ± 4.1 × 106 5.6 × 107 ± 1.2 × 107

E. coli was adapted to Methanobacterium formicicum by 39 successive rounds of cultivation on glycerol. The adapted (39th-round) or non-adapted (1st-round) E. coli was cultivated for 96 h on crude glycerol with M. formicicum or DMSO

Values report means ± standard deviations for three replicates

ND not determined, 39th E. coli adapted E. coli, 1st E. coli non-adapted E. coli

aValue means a significant difference between co-culture groups of adapted and non-adapted E. coli (unpaired samples t test, P < 0.05)

Succinate production from crude glycerol fermentation during co-culture of Escherichia coli with Methanobacterium formicicum. Solid lines represent succinate production, and dotted lines represent glycerol consumption by adapted (black circles) and non-adapted (gray squares) E. coli. *Value for the adapted E. coli was significantly different from that for the non-adapted E. coli (unpaired samples t test, P < 0.05). Plotted points report the means, and error bars report the standard deviations for independent samples taken in triplicate Fermentative characteristics by adapted Escherichia coli on crude glycerol E. coli was adapted to Methanobacterium formicicum by 39 successive rounds of cultivation on glycerol. The adapted (39th-round) or non-adapted (1st-round) E. coli was cultivated for 96 h on crude glycerol with M. formicicum or DMSO Values report means ± standard deviations for three replicates ND not determined, 39th E. coli adapted E. coli, 1st E. coli non-adapted E. coli aValue means a significant difference between co-culture groups of adapted and non-adapted E. coli (unpaired samples t test, P < 0.05) Under anaerobic conditions, E. coli cannot grow with glycerol as its sole carbon and energy source due to the metabolic dilemma of redox-balancing and energy acquisition (Fig S1). During conversion of glycerol to PEP, MQH2 and NADH2 are generated. For redox balancing, PEP could be reduced to succinate whereby MQH2 and NADH2 would be re-oxidized, but no ATP is generated in this pathway. For energy acquisition, PEP should be also degraded over pyruvate to acetate, formate, ethanol, or lactate. NADH2 is re-oxidized in the ethanol or lactate production, but this pathway requires additional electron acceptors like fumarate, DMSO, TMAO, or nitrate, of which reduction is coupled with oxidation of MQH2 [22]. Therefore, glycerol fermentation by E. coli alone was very slow and showed low levels of products (Table 1). The interspecies transfer of formate from E. coli to M. formicicum and consumption of formate by M. formicicum improved the glycerol fermentation by E. coli. Formate is derived from pyruvate in nonoxidative cleavage by PFL (pyruvate formate lyase), and reducing equivalents of the reaction remain in the formate [13]. Therefore, formate metabolism is a critical step for adjusting redox balance in fermentation [14]. In the absence of an exogenous electron acceptor, the formate channel FocA exports formate. As the external pH decreases, formate is re-imported by FocA, undergoes disproportionation into CO2 and H2 by cytoplasmic orientated formate hydrogenlyase (FHL), and the excess redox equivalents are released as H2 [11]. FHL complex is composed of formate dehydrogenase H (FDH-H) [HCOO− → CO2 + H+ + 2e−, E′0 =  − 432 mV] and hydrogenase 3 [2H+ + 2e− → H2, E′0 = − 414 mV] [10, 21]. Moreover, as the affinity of FDH-H of FHL to formate is very low (K m = 26 mM) [14], therefore the FHL reaction was not sufficient to solve the redox imbalance of glycerol fermentation. M. formicicum also possesses a FocA-similar formate channel FdhC [26]. Therefore, in co-culture, formate exported by E. coli is imported into M. formicicum and is quickly used, which re-adjusts the equilibrium in the direction of fermentation. M. formicicum uses both H2 and formate as electron donors [15]. In conclusion, this study successfully adapted an E. coli strain for succinate production from waste glycerol by 39 successive rounds (273 days) of co-culture of E. coli and M. formicicum. The adapted E. coli produced twice amount of succinate in co-culture in comparison with the non-adapted E. coli, and the methane production by M. formicicum increased by 62%, whereas the glycerol consumption and cell growth were not increased, and the ethanol production decreased by 24%. We, therefore, speculated that the formate transfer from E. coli to M. formicicum became more efficient during the adaptation process, whereby the reduction step to ethanol production was decreased and the C4-branch enzymes, including PEP carboxylase, malate dehydrogenase, fumarase, and fumarate reductase, were upregulated. The basis of phenotypic changes should be further investigated by genome and transcriptome analyses. Below is the link to the electronic supplementary material. Supplementary material 1 (PDF 324 kb)
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