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Article

Cofactor Metabolic Engineering of Escherichia coli for Aerobic L-Malate Production with Lower CO2 Emissions

State Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing 211800, China
*
Author to whom correspondence should be addressed.
Bioengineering 2023, 10(8), 881; https://doi.org/10.3390/bioengineering10080881
Submission received: 22 May 2023 / Revised: 16 June 2023 / Accepted: 23 June 2023 / Published: 25 July 2023

Abstract

:
Escherichia coli has been engineered for L-malate production via aerobic cultivation. However, the maximum yield obtained through this mode is inferior to that of anaerobic fermentation due to massive amounts of CO2 emissions. Here, we aim to address this issue by reducing CO2 emissions of recombinant E. coli during aerobic L-malate production. Our findings indicated that NADH oxidation and ATP-synthesis-related genes were down-regulated with 2 g/L of YE during aerobic cultivations of E. coli E23, as compared to 5 g/L of YE. Then, E23 was engineered via the knockout of nuoA and the introduction of the nonoxidative glycolysis (NOG) pathway, resulting in a reduction of NAD+ and ATP supplies. The results demonstrate that E23 (ΔnuoA, NOG) exhibited decreased CO2 emissions, and it produced 21.3 g/L of L-malate from glucose aerobically with the improved yield of 0.43 g/g. This study suggests that a restricted NAD+ and ATP supply can prompt E. coli to engage in incomplete oxidization of glucose, leading to the accumulation of metabolites instead of utilizing them in cellular respiration.

1. Introduction

L-malate, a four-carbon dicarboxylic acid, is currently used mainly as an acidulant and taste enhancer in the beverage and food industry [1]. Additionally, it has been identified as one of the twelve most promising platform chemicals from biomass by the Department of Energy of the United States [2]. Commercial L-malate is mainly produced via the hydration of either maleate or fumarate using cell bioconversion or enzymatic conversion [3]. Additionally, L-malate can be synthesized from food or non-food renewable feedstocks with microorganisms, such as Penicillium viticola, Aspergillus niger, Bacillus coagulans, and Escherichia coli [4,5,6,7,8].
As a well established model bacterium, E. coli has been engineered for L-malate production through both aerobic and anaerobic fermentation. Recently, Zhang et al. constructed a recombinant E. coli XZ658, which achieved a final L-malate concentration of 34 g/L with a mass yield of 1.06 g of L-malate per g of consumed glucose during the anaerobic phase [9]. Hu et al. rewired the RuBisCO shunt using the ATP-generating carboxylation pathway for L-malate production in E. coli. The fixation capability of CO2 was effectively enhanced, and the highest reported yield of 1.09 g of L-malate per g of consumed glucose was achieved [10].
Furthermore, some researchers paid much more attention to the aerobic mode for L-malate production via the Krebs cycle and glyoxylate shunt. Moon et al. constructed a recombinant E. coli that was deficient in pta and overexpressed the pckA gene, resulting in accumulation of 9.62 g/L of L-malate with a yield of 0.61 g of L-malate per g of consumed glucose through aerobic cultivation [7]. Gao et al. employed an in vitro modular pathway optimization strategy in conjunction with in vivo multiplexed combinatorial engineering to engineer a recombinant, which yielded 0.63 g of L-malate per g of consumed glucose [11]. Similarly, Trichez et al. achieved a yield of 0.61 g of L-malate per g of consumed glucose by inactivating mdh, mqo, maeAB, iclR, and arcA, and this resulted in the expression of PEP carboxylase and NADH-insensitive citrate synthase in E. coli [12]. Guo et al. adopted a strategy to enhance the production of L-malate by targeting the reductive tricarboxylic acid (rTCA) pathway to the periplasm, and the resultant engineered strain produced 25.9 g/L of L-malate with a yield of 0.39 g of L-malate per g of consumed glucose [13]. In addition, Li et al. constructed an engineered E. coli for L-malate production from xylose, which achieved a titer of 5.90 g/L with a yield of 0.80 g of L-malate per g of xylose [14]. Soto-Varela et al. identified the enzymatic bottlenecks for the aerobic production of L-malate through the systematic gene overexpression of anaplerotic enzymes in E. coli and achieved 57.5% of the theoretical maximum molar yield [15].
Despite the construction of several recombinants for the aerobic production of L-malate, the maximum yield achieved was inferior to that attained through anaerobic fermentation. This can be attributed to the substantial CO2 emissions, resulting from the dicarboxylic reactions under aerobic conditions (as illustrated in Figure 1). While CO2 utilization is one of the hot topics of bioengineering, and many researchers are working on it [16], it is equally crucial to mitigate CO2 emissions in certain industrial processes, such as in the fermentation industry. Recently, Bogorad et al. have designed a nonoxidative glycolysis (NOG) pathway, which uses a Xpk-dependent cleavage of sugar phosphates and carbon rearrangement cycles to generate acetyl-CoA without carbon loss [17]. The NOG pathway bypasses the initial C3 formation and directly generates stoichiometric amounts of C2 metabolites without CO2 emissions, while requiring one ATP (as shown in Figure 1). In addition, our previous study has established a novel L-malate synthesis routine termed “L-malate overflow metabolism” in E. coli AFP111, which utilizes succinate as a carbon source by reducing the efficiency of the electron transport chain (ETC) [18].
In this study, our objective was to expand the L-malate production method by using a recombinant E. coli strain with glucose as the aerobic carbon source. Firstly, aerobic cultivations supplemented with varying concentrations of yeast extract (YE) were carried out with E. coli E23 to examine the metabolic characteristics and transcriptional level of ETC-related genes. Then, engineered E23 was obtained based on reducing the NAD+ and ATP supply through the knockout of nuoA and the introduction of the NOG system. Finally, the metabolic characteristics of E23 (ΔnuoA, NOG) were evaluated to attain a more accurate comprehension of the provision of NAD+ and ATP in the context of aerobic organic acid synthesis.

2. Materials and Methods

2.1. Strains and Plasmids

The parental strain E. coli E23 (BL21 (DE3), ppc:trc, aceBAK:trc, ΔmaeAB) was provided by Professor Tao Chen from Tianjin University. This strain was engineered from E. coli E2 [19], whose activity of isocitrate dehydrogenase (ICDH) was significantly decreased after long-term adaptive evolution in minimal medium with glycerol as the sole carbon source. In addition, the native promoters of aceBAK and ppc were replaced with the trc promoter, and the NAD+-dependent and NADP+-dependent malic enzymes (Encoded by maeAB) were both inactivated. E. coli DH5α strain was used as the host strain for plasmid construction. All the used and constructed strains are listed in Table 1. The CRISPR-Cas9 system, including the plasmids Pcas9A and pTargetF, was adopted to knockout the chromosome gene, and plasmid pTrc99a was used to overexpress the NOG related genes.

2.2. Media and Cultivation Conditions

E. coli was grown in Luria-Bertani (LB) broth or agar plate (2%, w/v) for inoculum preparation and plasmid construction. When necessary, antibiotics were added to the culture medium at the following concentrations: 100 µg/mL of ampicillin (Amp) and 50 μg/mL of spectinomycin (Spec).
The seed culture was prepared by inoculating 20 μL of glycerol cell stock into a 25 mL tube containing 5 mL LB medium and cultivated at 37 °C and 200 rpm. After 12~14 h, 5 mL seed culture was transferred into 100 mL of fresh medium in a 1000 mL baffled shake flask, and it was cultivated for 6~8 h at 37 °C in a rotary shaker at 200 rpm.
Flask cultivations were carried out in a 500 mL flask with 200 mL M9 mineral salt medium at 37 °C and 200 rpm in a rotary shaker supplemented with 20 g/L glucose and YE. Na2CO3 was used as the CO2 source and the buffering agent at 10 g/L. To examine the influence of YE on cell growth and metabolism, YE was varied within the range of 0 to 5 g/L. The cells were cultivated at 37 °C in a rotatory shaker at 200 rpm. When OD600 reached 1, 0.05 mM IPTG was added into the medium to induce the expression of genes under control of IPTG-inducible promoter, followed by an additional 48 h incubation at 30 °C. All the flask cultivation experiments were performed in triplicate.
For fed-batch culture, 100 mL inoculum was transferred into a 5-L bioreactor containing 2 L initial cultivation medium composed of M9 minimal medium, 2 g/L YE, and approximately 25 g/L glucose. Temperature and pH were maintained at 37 °C and above 6.8 with 30% (w/v) Na2CO3. The aeration rate was maintained around 1 L/min, and dissolved oxygen (DO) was controlled above 10% by controlling the stirrer speed between 200 and 800 rpm. When the glucose concentration was below 5 g/L, concentrated glucose was supplemented into the reactor to approximately 25 g/L. Samples were periodically collected to determine cell growth, as well as glucose and extracellular metabolite concentrations.

2.3. Construction of a NDH-1 Defective Mutant

The nuo operon, encoding NDH-1, consists of 14 genes, and a NDH-1-defective mutant E23 (ΔnuoA) was constructed by deleting the nuoA gene, encoding NADH-quinone oxidoreductase subunit A using CRISPR-Cas9 [20,21]. The primers used for nuoA knockout and identification are given in Supplementary Table S1. Target-S and Target nuo-A were used to construct the target plasmid pTarget T2, and nuo-5-S, nuo-5-A, nuo-3-S, and nuo-3-A were used to amplify the donor DNA homologous to the targeting genome loci of nuoA. Finally, nuo-V-S and nuo-V-A were used to certify whether nuoA was deleted.

2.4. Construction of NOG Expression System

Two key enzymes—bifunctional phosphoketolase (FXPK, encoded by fxpk from Bifidobacterium adolescentis) and fructose-1,6-bisphosphatase (FBP, encoded by fbp from E. coli)—were overexpressed to construct the NOG expression system. Firstly, the fxpk gene was amplified from B. adolescentis genomic DNA and digested by EcoR I and Sal I, and then it was ligated to the expression vector pTrc99a to generate pTrc-fxpk. Then, the fbp gene was amplified from E. coli genomic DNA and inserted into pTrc-fxpk at the Xba I restriction site to generate pTrc-fxpk-fbp, which was transformed to E23 (ΔnuoA) to obtain a recombinant E23 (ΔnuoA, NOG). The primers used for the construction of pTrc-fxpk-fbp are given in Supplementary Table S2. SDS-PAGE protein electrophoresis of recombinants of E. coli E23 is given in Supplementary Figure S1.

2.5. Cell Biomass and Residual Glucose Concentration

Cell growth was monitored by measuring the optical density (OD) at 600 nm with a spectrophotometer (1 OD600 = 0.40 g/L DCW). The glucose concentration in the broth was detected by a glucose bioanalyzer (SenSep, Nanjing Membrane Material Industry Technology Research Institute Co., Ltd., Nanjing, China), and Prussian blue (PB) enzyme biosensor chips with nanocubic crystals were manufactured by screen printing technology for the detection of glucose [22,23].

2.6. Metabolites Analysis and Yield Analysis

Organic products were determined by high performance liquid chromatography (HPLC) (Chromeleon server monitor, P680 pump, Dionex, Sunnyvale, CA, USA) with a UVD 170U ultraviolet detector at a wavelength of 215 nm and ion exchange chromatographic column (Aminex HPX-87H, 300 mm × 7.8 mm; Hercules, CA, USA). The flow rate was controlled at 0.5 mL/min with the mobile phase of 2.55 mM H2SO4. L-malate mass yield (g/g) was calculated as the gram accumulated L-malate per gram of consumed glucose.

2.7. Determination of CO2 Emissions

CO2 emissions were determined using an on-line COZIR Wide Range CO2 analyzer (GSS, Cumbernauld, UK), whose detection range was 0 to 100%. To reduce the interference caused by vapour, the off-gas was connected with a 500 mL bottle, which was filled with silica gel drier to absorb the vapour. pCO2 is defined as the CO2 concentration in the exhaust gases (%).

2.8. Phosphoketolase Activity Assay

Samples were prepared by shake flask cultivation, and 10 mL samples were centrifuged at 4100 rpm and 4 °C for 10 min at 24 h. Then, they were washed twice with 5 mL of 50 mM cold Tris-HCl buffer (pH 7.5), and enzymatic activity was assayed by measuring the amount of ferric acetyl hydroxamate produced, using the method described previously [24].

2.9. Quantification of Intracellular NAD(H)

Samples were harvested by centrifugation at 14,000 rpm and 4 °C for 5 min. After carefully removed the supernatant, 300 µL 0.2 mol/L NaOH or 300 µL 0.2 mol/L HCl were separately added to resuspend the pellets for NADH or NAD+ analysis. The intracellular concentrations of NAD+ and NADH were assayed according to the cycling method described previously [25].

2.10. Quantification of Intracellular Acetyl-coA and ATP

10 mL samples were taken into precooled centrifuge tubes and centrifuged at 12,000 rpm and 4 °C for 10 min and subsequently washed twice with 30 mL 100 mM sodium phosphate buffer (pH 3.0) at 4 °C, after which the cell pellets were stored at −80 °C. Acetyl-coA was measured according to the method of Yang et al. [26].
1 mL of cold 30% (w/v) trichloroacetic acid was added to the samples (4 mL) and mixed thoroughly. The ATP concentrations were then measured using the BacTiter-GloTM Microbial Cell Viability Assay Kit (Promega, Madison, Wisconsin, USA).

2.11. Transcriptional Analysis

Transcriptional levels of the related genes were analyzed by RT-qPCR using an ABI 7500 Real-Time PCR system with SYBRs PemixExTaqTM kit (Takara, Shiga, Japan). During the comparative transcriptional analysis of ETC of E23 with 2 g/L and 5 g/L YE, we collected the samples at the mid-logarithmic growth phase. The samples were centrifuged at 14,000 rpm for 5 min at 4 °C, and the total RNA was extracted from the precipitate by a commercial kit (Takara, Japan). Then, the cDNA synthesis kit (Takara, Japan) was used to reverse transcribe the RNA under the manufacturer’s recommendation. The RT-qPCR reactions used the ABI 7500 Real-Time PCR system. The 16 s rRNA gene was used as an internal control for the RT-qPCR determinations.

3. Results

3.1. Metabolic Characteristics of E. coli E23 with Different Concentrations of YE

Previously, E. coli E23, deficient in malic enzyme genes maeA, maeB, and constitutive expression of phosphoenol pyruvate carboxylase gene ppc and glyoxylate pathway gene aceBAK, was considered as a potential candidate for aerobic L-malate production. Firstly, the metabolic characteristics of E. coli E23 were investigated under different nitrogen concentrations. As shown in Figure 2, E23 suffered growth restriction with M9 medium without organic nitrogen. The addition of YE was found to have a restorative effect on cell growth and glucose consumption, in tandem with an increasing concentration of YE. However, the production of organic acids did not exhibit a linear relationship with the YE concentration. Specifically, the highest accumulation of L-malate or succinate was observed when 2 g/L YE was supplemented, as compared to lower or higher nitrogen concentration. It indicated that cultivation with a relatively lower concentration of YE was beneficial for organic acid accumulation during aerobic cultivation.

3.2. Transcriptional Analysis of E. coli E23 with Different Concentrations of YE

In a previous study, we observed that nitrogen limitation was one critical factor provoking the L-malate overflow metabolism by down-regulating the ETC efficiency of E. coli AFP111 with succinate as carbon source [18]. Here, a comparative transcriptional analysis of the ETC in E23 was carried out. As shown in Figure 3, the transcription of ndh, nuoA, cydB, and atpA genes with 2 g/L YE were down-regulated by 0.20-, 0.85-, 0.50-, and 0.76-fold, respectively, compared with those with 5 g/L YE. The transcriptional down-regulation of these genes would significantly reduce the ETC efficiency, especially the NADH oxidation and the ATP synthesis, as nuoA and atpA were the prominent down-regulated genes. In addition, the transcriptional up-regulation of cyoA by 52% has been observed to facilitate the pumping of protons across the membrane, leading to a decrease in intracellular ATP production. Additionally, the decreased intracellular H+ can inhibit the reduction of NAD+ to NADH, and thus it can down-regulate the reaction from malate to oxaloacetate.

3.3. Engineering E. coli E23 to Decrease NAD+ Supply by the Knockout of nuoA

In the respiratory system, the first reactions of NADH oxidation for the electron transport chain are catalyzed by membrane-bound NADH dehydrogenase I (encoded by nuo operon) and NADH dehydrogenase II (encoded by ndh), which have a significant impact on the ETC efficiency [27]. Here, the gene nuoA was deleted in E23 by the Crispr-cas9 method to investigate whether the cells would be under a NAD+-limited environment. Thus, the concentrations of intracellular NADH and NAD+ at the beginning (Figure 4a) and the end (Figure 4b) of the stationary growth phase of E23 and E23 (ΔnuoA) were measured. As a result, the knockout of nuoA resulted in a dramatic drop in the NAD+ and NADH concentration, and, thus, the NAD(H/+) pool was rather low. In addition, the NADH/ NAD+ ratios were always lower than 1.
To investigate the effects of nuoA knockout on L-malate production, we compared the aerobic organic acid accumulation in E23 and E23 (ΔnuoA) by fed-batch cultivation in 5 L fermenters. As shown in Figure 5a,b, 14.4 g/L L-malate was accumulated from 63.0 g/L glucose with 4.12 g/L succinate and 1.0 g/L pyruvate in E23, and 16.1 g/L L-malate was accumulated from 52.5 g/L glucose with a trace of succinate and pyruvate accumulation in E23 (ΔnuoA). In this process, L-malate yield increased from 0.23 g/g to 0.31 g/g. In addition, E23 and E23 (ΔnuoA) took 22 h and 72 h to reach maximum cell density, and the highest OD600 also decreased from 11.3 to 9.4. These results indicated that cell growth was inhibited after knockout of nuoA. However, the malate productivity for E23 from 20 h to 70 h was 0.228 g/L·h, almost the same for E23 (ΔnuoA) from 72 h to 124 h at 0.226 g/L·h. That means that E23 (ΔnuoA) consumed less glucose with the same malate accumulation during the late period compared to E23.

3.4. Limiting ATP Supply of E. coli E23 by the Introduction of the NOG System

The NOG system has the properties of zero ATP synthesis and zero CO2 emissions during aerobic cultivation from glucose to acetyl-CoA. To make the cells produce lower ATP, the NOG system was introduced by over-expressing the native fbp and fxpk from Bifidobacterium adolescentis to E23 (ΔnuoA), resulting in the generation of recombinant E23 (ΔnuoA, NOG). SDS-PAGE protein electrophoresis in Supplementary Figure S1 showed that bifunctional phosphoketolase (around 95 kDa) and fructose-1,6-bisphosphatase (around 45 kDa) were expressed successfully. To certify whether the NOG worked, the intracellular enzymatic activities of FPK, Ac-CoA, and ATP level were analyzed. As shown in Table 2, NOG function was confirmed because the AcCoA level was increased by 17.2%, and the ATP level decreased by 18.7% compared with E23 (ΔnuoA).

3.5. Metabolic Characteristics of E. coli E23 (ΔnuoA, NOG) in 5 L Fed-Batch Cultivation

To investigate the effects of NOG introduction on L-malate production, the aerobic organic acid accumulations of E23 (ΔnuoA) and E23 (ΔnuoA, NOG) were compared by fed-batch fermentation. As shown in Figure 6a,b, L-malate production by E23 (ΔnuoA, NOG) achieved 21.3 g/L with the yield of 0.43 g/g, which increased by 38.7% compared to 0.31 g/g yield of E23 (ΔnuoA) at the end of 138 h. Moreover, a slight reduction in cell growth was observed, and the maximum OD600 of E23 (ΔnuoA, NOG) was found to be lower than that of E23 (ΔnuoA). This phenomenon might be due to the introduction of a plasmid with two overexpressed genes. Consequently, it showed that a decrease in ATP levels could potentially enhance L-malate production by introducing the NOG system into the strain.
To demonstrate the hypothesis that the NOG system could decrease CO2 emissions, the off-gas from the fermenter was measured by online CO2 detection. As shown in Figure 7, CO2 emissions could be divided into two phases. During the first phase, the CO2 emission rate of E23 (ΔnuoA) was comparable to that of E23 (ΔnuoA, NOG), while, in the second phase, the CO2 emission rate of E23 (ΔnuoA, NOG) was observed to be lower than that of E23 (ΔnuoA). This finding provides evidence that the introduction of the NOG system can effectively reduce CO2 emissions.

4. Discussions

Nutrient limitation regarding metabolic responses has been investigated in several studies by using information on isotope distribution data, resulting in improved accumulation of organic acids under limited conditions [27,28,29]. Additionally, it was also found that L-malate production with Aspergillus oryzae could be enhanced by a nitrogen regulation strategy [30]. Previous work also confirmed that limited nitrogen conditions decrease the ability of NAD+ regeneration, leading to the repression of the respiratory chain, thus triggering the overflow metabolism of L-malate with succinate as a carbon source [18].
In this study, we aim to produce L-malate aerobically using glucose as the carbon source with respect to E. coli E23, whose native promoters aceBAK and ppc were replaced with the trc promoter. Moreover, E23 was inactivated the NAD+-dependent and NADP+-dependent malic enzymes (maeAB), and the activity of isocitrate dehydrogenase was significantly decreased after long-term adaptive evolution. Thus, it is one of the candidates for L-malate production, with glucose as its carbon source, despite the relatively low L-malate yield of approximately 0.2 g/g. When E23 was cultivated under different concentrations of YE, we found that relatively lower YE facilitated L-malate accumulation, consistent with the findings when succinate was employed as the carbon source [18]. Conversely, when YE was added at more than 2 g/L, cells tended to proliferate, rather than overflow the metabolism, leading to a reduced accumulation of L-malate and succinate. Thus, nitrogen limitation was a key factor for the metabolites’ overflow metabolism. Moreover, transcriptional analysis revealed that nuoA and atpA were the most significantly down-regulated genes, which would decrease the NADH oxidation and the ATP synthesis in ETC. A reduction in NAD+ supplementation would inhibit the conversion of L-malate to OAA, as shown in Figure 1. Additionally, several studies have shown that metabolite production can benefit from decreasing ATP supplement, such as pyruvate [31] and glutamate [32], because lower ATP supplement could increase metabolic flux through central metabolic pathways by increasing ATP demand. In addition, reduced ATP production can lead to decreased cell growth, thereby increasing product yield during sugar fermentation [33]. Thus, we hypothesize that restricted NAD+ and ATP availability would enhance L-malate production under aerobic conditions.
To certify our speculation, nuoA in E23 was firstly deleted. The results showed that NAD+ regeneration was inhibited, and L-malate production was enhanced. Then, we tried to decrease the ATP generation by introducing the NOG system, which is an ATP-consuming pathway [34]. As shown in Figure 1, the overall reactions to synthesize pyruvate and acetyl-CoA using an EMP-based metabolism are as below:
Glucose → 2 Pyruvate + 2 NADH +2 ATP
Glucose → 2 acetyl-CoA + 2 CO2 + 4 NADH +2 ATP
These reactions provide crucial biosynthetic precursors, reducing equivalents and ATP for growth and maintenance. When NOG is introduced, it requires one ATP to phosphorylate glucose, and it forms three acetyl-CoAs per glucose:
Glucose + ATP → 3 acetyl CoA
Therefore, NOG is more efficient in the atom economy, and it does not generate CO2, but it cannot provide essential C3 metabolites to support the TCA cycle in glucose minimal medium. Thus, EMP and NOG were combined to flux the carbon source to TCA so as to balance cell growth and metabolism. Aiming for the accumulation of excessive L-malate, the glyoxylate pathway was activated, and the pathways of L-malate to pyruvate were inactivated. Moreover, instead of deleting the gene mdh, encoding malate dehydrogenase, the flux from L-malate to oxaloacetate was down-regulated by decreasing NAD+ supply via knockout of nuoA, which encodes the key component of ETC. The overall reactions for L-malate synthesis are shown below:
Glucose + ATP → 3 acetyl CoA
Glucose + 2 CO2 → 2 Oxaloacetate + 1 ATP
Oxaloacetate + 2 acetyl CoA + FAD+ → 2 L-malate + FADH
The net reaction for L-malate synthesis using this scheme below and ATP can be provided by further oxidation of FADH using the ETC.
7 Glucose + 6 CO2 + 6 FAD+ + ATP → 12 L-malate + 6 FADH
Thus, the maximum theoretical mass yield is 1.27 g/g. However, the yield shown in Figure 6 only achieved 0.43 g/g, which was far from the theoretical maximum yield. The main factor was still the large amount of CO2 emissions, rather than the accumulation of coproducts, such as succinate, pyruvate, and acetate. To fully realize the potential of aerobic L-malate production by E. coli, CO2 emissions must be further decreased to enhance the L-malate yield by combining several strategies on account of the fact that, sometimes, no gradual increase in product accumulation was found upon step-wise introduction of metabolic modifications, but all genetic modifications had to be present simultaneously (Trichez et al. 2018). Here, the following recommendations are proposed to modify the pathways of L-malate production: (1) down-regulation of ICDH, based on fine tuning: isocitrate dehydrogenase is the main enzyme involving the production of CO2. Down-regulation of ICDH to a relative low activity would efficiently decrease the emissions of CO2; (2) further reduction of NAD+ and the ATP supplement was based on other components in the ETC: lower NAD+ decreases the flux, not only from L-malate to OAA, but also from pyruvate to Acetyl-CoA and CO2. Moreover, lower NAD+ could inhibit the activity of isocitrate dehydrogenase. Cell growth relies on ATP, and lower ATP could maintain cell density at a low level, and thus the total emissions of CO2 would decrease.

5. Conclusions

The findings in this study suggest that limited NAD+ supply and reduced ATP level may prompt E. coli E23 to undergo incomplete oxidization of glucose, resulting in L-malate as the main product, rather than the respiratory pathway, to generate energy. The knockout of nuoA could decrease the efficiency of ETC and thus limit NAD+ supply. Moreover, the introduction of the NOG system can simultaneously reduce ATP production and CO2 emissions. Finally, E23 (ΔnuoA NOG) produced 21.3 g/L L-malate from glucose aerobically, with a yield of 0.43 g/g.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/bioengineering10080881/s1, Table S1—Primers for nuoA knockout and identification. Table S2—Primers for construction of plasmid pTrc-fxpk-fbp. Figure S1—SDS-PAGE protein electrophoresis of recombinants of E. coli E23.

Author Contributions

Conceptualization: F.X., J.M. and M.J. Data curation: Z.J., Y.J. and H.W. Formal analysis: H.W. and W.Z. Writing original draft: Z.J. and J.M. Writing—review and editing, Funding acquisition: J.M. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (22178175), the National Key R&D Program of China (2018YFA0901500), and the Jiangsu Synergetic Innovation Center for Advanced Bio-Manufacture of China.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The authors thank Tao Chen from Tianjin University for providing the strain E. coli E23.

Conflicts of Interest

On behalf of all authors, the corresponding author states that there are no conflict of interest.

References

  1. Chi, Z.; Wang, Z.P.; Wang, G.Y.; Khan, I.; Chi, Z.M. Microbial biosynthesis and secretion of L-malic acid and its applications. Crit. Rev. Biotechnol. 2016, 36, 99–107. [Google Scholar] [CrossRef]
  2. Werpy, T.; Petersen, G. Top Value Added Chemicals from Biomass: Volume I-Results of Screening for Potential Candidates from Sugars and Synthesis Gas; Report; National Renewable Energy Laboratory: Golden, CO, USA, 2004.
  3. Giorno, L.; Drioli, E.; Carvoli, G.; Cassano, A.; Donato, L. Study of an enzyme membrane reactor with immobilized fumarase for production of L-malic acid. Biotechnol. Bioeng. 2001, 72, 77–84. [Google Scholar] [CrossRef] [PubMed]
  4. Dai, Z.X.; Zhou, H.Y.; Zhang, S.J.; Gu, H.L.; Yang, Q.; Zhang, W.M.; Dong, W.L.; Ma, J.F.; Fang, Y.; Jiang, M.; et al. Current advance in biological production of malic acid using wild type and metabolic engineered strains. Bioresour. Technol. 2018, 258, 345–353. [Google Scholar] [CrossRef]
  5. Iyyappan, J.; Baskar, G.; Bharathiraja, B.; Gopinath, M. Enhanced malic acid production using Aspergillus niger coupled with in situ product recovery. Bioresour. Technol. 2020, 308, 123259. [Google Scholar] [CrossRef]
  6. Khan, I.; Nazir, K.; Wang, Z.P.; Liu, G.L.; Chi, Z.M. Calcium malate overproduction by Penicillium viticola 152 using the medium containing corn steep liquor. Appl. Microbiol. Biotechnol. 2014, 98, 1539–1546. [Google Scholar] [CrossRef]
  7. Moon, S.Y.; Hong, S.H.; Kim, T.Y.; Lee, S.Y. Metabolic engineering of Escherichia coli for the production of malic acid. Biochem. Eng. J. 2008, 40, 312–320. [Google Scholar] [CrossRef]
  8. Sun, W.; Jiang, B.; Zhao, D.; Pu, Z.; Bao, Y. Integration of metabolic pathway manipulation and promoter engineering for the fine-tuned biosynthesis of malic acid in Bacillus coagulans. Biotechnol. Bioeng. 2021, 118, 2597–2608. [Google Scholar] [CrossRef] [PubMed]
  9. Zhang, X.; Wang, X.; Shanmugam, K.T.; Ingram, L.O. L-Malate production by metabolically engineered Escherichia coli. Appl. Environ. Microbiol. 2011, 77, 427–434. [Google Scholar] [CrossRef] [Green Version]
  10. Hu, G.; Zhou, J.; Chen, X.; Qian, Y.; Gao, C.; Guo, L.; Xu, P.; Chen, W.; Chen, J.; Li, Y.; et al. Engineering synergetic CO2-fixing pathways for malate production. Metab. Eng. 2018, 47, 496–504. [Google Scholar] [CrossRef]
  11. Gao, C.; Wang, S.; Hu, G.; Guo, L.; Chen, X.; Xu, P.; Liu, L. Engineering Escherichia coli for malate production by integrating modular pathway characterization with CRISPRi-guided multiplexed metabolic tuning. Biotechnol. Bioeng. 2018, 115, 661–672. [Google Scholar] [CrossRef]
  12. Trichez, D.; Auriol, C.; Baylac, A.; Irague, R.; Dressaire, C.; Carnicer-Heras, M.; Heux, S.; Francois, J.M.; Walther, T. Engineering of Escherichia coli for krebs cycle-dependent production of malic acid. Microb. Cell Fact. 2018, 17, 113–124. [Google Scholar] [CrossRef] [Green Version]
  13. Guo, L.; Zhang, F.; Zhang, C.; Hu, G.; Gao, C.; Chen, X.; Liu, L. Enhancement of malate production through engineering of the periplasmic rTCA pathway in E. coli. Biotechnol. Bioeng. 2018, 115, 1571–1580. [Google Scholar] [CrossRef] [PubMed]
  14. Li, Z.; Hong, P.; Da, Y.; Li, L.; Stephanopoulos, G. Metabolic engineering of Escherichia coli for the production of L-malate from xylose. Metab. Eng. 2018, 48, 25–32. [Google Scholar] [CrossRef]
  15. Soto-Varela, Z.E.; Cabrera, G.; Romero, A.; Cantero, D.; Valle, A.; Bolivar, J. Identification of enzymatic bottlenecks for the aerobic production of malate from glycerol by the systematic gene overexpression of anaplerotic enzymes in Escherichia coli. Int. J. Mol. Sci. 2021, 22, 2266. [Google Scholar] [CrossRef]
  16. Amulya, K.; Mohan, S.V. Augmenting succinic acid production by bioelectrochemical synthesis: Influence of applied potential and CO2 availability. Chem. Eng. J. 2021, 411, 128377. [Google Scholar] [CrossRef]
  17. Bogorad, I.W.; Lin, T.S.; Liao, J.C. Synthetic non-oxidative glycolysis enables complete carbon conservation. Nature 2013, 502, 693–697. [Google Scholar] [CrossRef]
  18. Ma, J.; Qian, H.; Zheng, T.; Jiang, Y.; Xin, F.; Dong, W.; Zhang, W.; Fang, Y.; Jiang, M. Novel biosynthesis of L-malate based on overflow metabolism in Escherichia coli. Biochem. Eng. J. 2019, 149, 107255. [Google Scholar] [CrossRef]
  19. Li, N.; Zhang, B.; Chen, T.; Wang, Z.; Tang, Y.J.; Zhao, X. Directed pathway evolution of the glyoxylate shunt in Escherichia coli for improved aerobic succinate production from glycerol. J. Ind. Microbiol. Biotechnol. 2013, 40, 1461–1475. [Google Scholar] [CrossRef]
  20. Virzintiene, E.; Trane, M.; Hägerhäll, C. Revised transmembrane orientation of the NADH:quinone oxidoreductase subunit NuoA. FEBS Lett. 2011, 585, 3277–3283. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  21. Jiang, Y.; Chen, B.; Duan, C.; Sun, B.; Yang, J.; Yang, S. Multigene editing in the Escherichia coli genome via the CRISPR-Cas9 system. Appl. Environ. Microbiol. 2015, 81, 2506–2514. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Jiang, D.; Chu, Z.; Peng, J.; Jin, W. Screen-printed biosensor chips with prussian blue nanocubes for the detection of physiological analytes. Sens. Actuators B Chem. 2016, 228, 679–687. [Google Scholar] [CrossRef]
  23. Yang, P.; Peng, J.; Chu, Z.; Jiang, D.; Jin, W. Facile synthesis of prussian blue nanocubes/silver nanowires network as a water-based ink for the direct screen-printed flexible biosensor chips. Biosens. Bioelectron. 2017, 92, 709–717. [Google Scholar] [CrossRef] [PubMed]
  24. Wang, Q.; Xu, J.; Sun, Z.; Luan, Q.; Li, Y.; Wang, J.; Liang, Q.; Qi, Q. Engineering an in vivo EP-bifido pathway in Escherichia coli for high-yield acetyl-CoA generation with low CO2 emission. Metab. Eng. 2019, 51, 79–87. [Google Scholar] [CrossRef]
  25. Liang, L.; Liu, R.; Ma, J.; Chen, K.; Jiang, M.; Wei, P. Increased production of succinic acid in Escherichia coli by overexpression of malate dehydrogenase. Biotechnol. Lett. 2011, 33, 2439–2444. [Google Scholar] [CrossRef] [PubMed]
  26. Yang, X.; Yuan, Q.; Zheng, Y.; Ma, H.; Chen, T.; Zhao, X. An engineered non-oxidative glycolysis pathway for acetone production in Escherichia coli. Biotechnol. Lett. 2016, 38, 1359–1365. [Google Scholar] [CrossRef] [PubMed]
  27. Kumar, R.; Shimizu, K. Transcriptional regulation of main metabolic pathways of cyoA, cydB, fnr, and fur gene knockout Escherichia coli in C-limited and N-limited aerobic continuous cultures. Microb. Cell Fact. 2011, 10, 3. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Larsson, C.; Von, S.U.; Marison, I.; Gustafsson, L. Growth and metabolism of Saccharomyces cerevisiae in chemostat cultures under carbon-, nitrogen-, or carbon- and nitrogen-limiting conditions. J. Bacteriol. 1993, 175, 4809–4816. [Google Scholar] [CrossRef] [Green Version]
  29. Sauer, U.; Lasko, D.R.; Fiaux, J.; Hochuli, M.; Glaser, R.; Szyperski, T.; Wuthrich, K.; Bailey, J.E. Metabolic flux ratio analysis of genetic and environmental modulations of Escherichia coli central carbon metabolism. J. Bacteriol. 1999, 181, 6679–6688. [Google Scholar] [CrossRef]
  30. Ji, L.; Wang, J.; Luo, Q.; Ding, Q.; Tang, W.; Chen, X.; Liu, L. Enhancing L-malate production of Aspergillus oryzae by nitrogen regulation strategy. Appl. Microbiol. Biotechnol. 2021, 105, 3101–3113. [Google Scholar] [CrossRef]
  31. Liu, L.M.; Li, Y.; Du, G.C.; Chen, J. Increasing glycolytic flux in Torulopsis glabrata by redirecting ATP production from oxidative phosphorylation to substrate-level phosphorylation. J. Appl. Microbiol. 2006, 100, 1043–1053. [Google Scholar] [CrossRef]
  32. Aoki, R.; Wada, M.; Takesue, N.; Tanaka, K.; Yokota, A. Enhanced glutamic acid production by a H+-ATPase-defective mutant of Corynebacterium glutamicum. Biosci. Biotechnol. Biochem. 2005, 69, 1466–1472. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Benisch, F.; Boles, E. The bacterial Entner-Doudoroff pathway does not replace glycolysis in Saccharomyces cerevisiae due to the lack of activity of iron-sulfur cluster enzyme 6-phosphogluconate dehydratase. J. Biotechnol. 2014, 171, 45–55. [Google Scholar] [CrossRef] [PubMed]
  34. Lin, P.P.; Jaeger, A.J.; Wu, T.Y.; Xu, S.; Lee, A.S.; Gao, F.; Chen, P.W.; Liao, J.C. Construction and evolution of an Escherichia coli strain relying on nonoxidative glycolysis for sugar catabolism. Proc. Natl. Acad. Sci. USA 2018, 115, 3538–3546. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. A schematic representation of aerobic L-malate production from glucose by an E. coli recombinant.
Figure 1. A schematic representation of aerobic L-malate production from glucose by an E. coli recombinant.
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Figure 2. The growth and metabolic characteristics of E. coli E23, supplemented with different concentrations of YE.
Figure 2. The growth and metabolic characteristics of E. coli E23, supplemented with different concentrations of YE.
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Figure 3. Comparative transcriptional analysis of ETC components of E. coli E23 in response to fermentations with 5 g/L and 2 g/L YE.
Figure 3. Comparative transcriptional analysis of ETC components of E. coli E23 in response to fermentations with 5 g/L and 2 g/L YE.
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Figure 4. Intracellular concentration and ratio of NAD(H) at the beginning (a) and end of the stationary phase (b) of growth in E. coli E23 and E. coli E23 (ΔnuoA).
Figure 4. Intracellular concentration and ratio of NAD(H) at the beginning (a) and end of the stationary phase (b) of growth in E. coli E23 and E. coli E23 (ΔnuoA).
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Figure 5. Time-course of glucose consumption, cell growth, and the organic acid production of E. coli E23 (a) and E. coli E23 (ΔnuoA) (b).
Figure 5. Time-course of glucose consumption, cell growth, and the organic acid production of E. coli E23 (a) and E. coli E23 (ΔnuoA) (b).
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Figure 6. Effects of introduction of the NOG system to E. coli E23 (ΔnuoA) regarding glucose consumption and cell growth (a) and organic acids production (b).
Figure 6. Effects of introduction of the NOG system to E. coli E23 (ΔnuoA) regarding glucose consumption and cell growth (a) and organic acids production (b).
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Figure 7. Effects of the introduction of the NOG system to E. coli E23 (ΔnuoA) regarding CO2 emissions rate.
Figure 7. Effects of the introduction of the NOG system to E. coli E23 (ΔnuoA) regarding CO2 emissions rate.
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Table 1. Strains that were used and constructed in this study.
Table 1. Strains that were used and constructed in this study.
StrainsFeatureSource or
Reference
E. coli DH5αCloning hostLab collection
E. coli E2Evolved BL21(DE3), Δppc, aceBAK:trcLi et al. 2013 [19]
E. coli E23E2, ppc:trc, ΔmaeABChen’s Lab collection
E. coli E23 (ΔnuoA)E23, ΔnuoAThis study
E. coli E23 (ΔnuoA NOG)E23, ΔnuoA, harboring pTrc-fxpk-fbpThis study
Table 2. Analysis of intracellular acetyl-coA and ATP of the recombinants.
Table 2. Analysis of intracellular acetyl-coA and ATP of the recombinants.
StrainsAcetyl-coA
(nmol/g DCW)
ATP
(nmol/g DCW)
E. coli E23 (ΔnuoA)12.20 ± 0.761685 ± 416
E. coli E23 (ΔnuoA NOG)14.30 ± 0.941370 ± 320
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Jiang, Z.; Jiang, Y.; Wu, H.; Zhang, W.; Xin, F.; Ma, J.; Jiang, M. Cofactor Metabolic Engineering of Escherichia coli for Aerobic L-Malate Production with Lower CO2 Emissions. Bioengineering 2023, 10, 881. https://doi.org/10.3390/bioengineering10080881

AMA Style

Jiang Z, Jiang Y, Wu H, Zhang W, Xin F, Ma J, Jiang M. Cofactor Metabolic Engineering of Escherichia coli for Aerobic L-Malate Production with Lower CO2 Emissions. Bioengineering. 2023; 10(8):881. https://doi.org/10.3390/bioengineering10080881

Chicago/Turabian Style

Jiang, Zhiming, Youming Jiang, Hao Wu, Wenming Zhang, Fengxue Xin, Jiangfeng Ma, and Min Jiang. 2023. "Cofactor Metabolic Engineering of Escherichia coli for Aerobic L-Malate Production with Lower CO2 Emissions" Bioengineering 10, no. 8: 881. https://doi.org/10.3390/bioengineering10080881

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