Skip to main content

Implementation of a high cell density fed-batch for heterologous production of active [NiFe]-hydrogenase in Escherichia coli bioreactor cultivations

Abstract

Background

O2-tolerant [NiFe]-hydrogenases offer tremendous potential for applications in H2-based technology. As these metalloenzymes undergo a complicated maturation process that requires a dedicated set of multiple accessory proteins, their heterologous production is challenging, thus hindering their fundamental understanding and the development of related applications. Taking these challenges into account, we selected the comparably simple regulatory [NiFe]-hydrogenase (RH) from Cupriavidus necator as a model for the development of bioprocesses for heterologous [NiFe]-hydrogenase production. We already reported recently on the high-yield production of catalytically active RH in Escherichia coli by optimizing the culture conditions in shake flasks.

Results

In this study, we further increase the RH yield and ensure consistent product quality by a rationally designed high cell density fed-batch cultivation process. Overall, the bioreactor cultivations resulted in ˃130 mg L−1 of catalytically active RH which is a more than 100-fold increase compared to other RH laboratory bioreactor scale processes with C. necator. Furthermore, the process shows high reproducibility of the previously selected optimized conditions and high productivity.

Conclusions

This work provides a good opportunity to readily supply such difficult-to-express complex metalloproteins economically and at high concentrations to meet the demand in basic and applied studies.

Introduction

In view of global warming and depletion of natural resources, scientists are struggling to look for renewable and environmentally friendly alternative energy systems. Hydrogenases, which are complex metalloenzymes capable of reversibly catalyzing the conversion of H2 into protons and electrons, can serve a valuable model for these tasks [1, 2]. Although most hydrogenases are typically inhibited or irreversibly inactivated even by trace amounts of O2 or CO, certain O2-tolerant [NiFe]-hydrogenases capable of sustaining the catalytic activity in the presence of O2, are widely distributed in nature [3, 4]. To date, the most well-characterized O2-tolerant [NiFe]-hydrogenases come from Cupriavidus necator (formerly Ralstonia eutropha) H16, which houses four different types of these hydrogenases (membrane-bound hydrogenase (MBH), soluble NAD+-reducing hydrogenase (SH), actinobacterial-like hydrogenase (AH), regulatory hydrogenase (RH) [5, 6]. Over several decades, technical systems that use O2-tolerant [NiFe]-hydrogenases have been developed. These systems offer tremendous potential applications in e.g. light-driven H2 production [7,8,9], H2-driven biofuel cells [10,11,12] or H2-mediated cofactor regeneration [13,14,15]. However, at present, their biotechnological applications is still hardly feasible due to the low product yields and long process times by cultivation of the native producers [16,17,18,19]. Similarly, the heterologous production of these hydrogenases is challenging due to the complicated maturation process and the high specificity of the required maturation proteins [20]. To improve accessibility of hydrogenases, we recently developed a heterologous production system for [NiFe]-hydrogenases in the robust and genetically tractable production host Escherichia coli by the example of the O2-tolerant regulatory [NiFe]-hydrogenase from C. necator [21].

The RH functions as H2 sensor regulating the expression of energy-converting hydrogenases (MBH, SH operons) in the presence of H2 [22, 23]. It consists of two heterodimers, each formed by the large HoxC subunit (52 kDa) harboring the H2-activating [NiFe(CN)2CO]-cofactor and the small HoxB subunit (36 kDa) with three [4Fe4S]-clusters [5, 24]. A truncated version, called RHstop protein, that consists of the single HoxBC heterodimer capable of H2-oxidation in vitro, has been widely used for spectroscopic studies [25,26,27,28,29]. Previously, this truncated protein as well as wildtype RH were obtained from batch cultivations of C. necator at very low yields of 0.1–1 mg L−1 (˂ 0.1 mg g −1) [30,31,32]. Recently, we achieved by heterologous production in E. coli BL21 Gold approx. 300 mg L−1 RH in shake flasks by the use of the fed-batch-like EnPresso® growth system [33, 34]. However, despite the high yield the product was inactive due to the absence of the [NiFe] cofactor [33]. The biosynthesis and incorporation of the [NiFe] cofactor into the apo-hydrogenase requires nickel and iron as well as six accessory proteins encoded by the hyp1 operon [35,36,37]. Furthermore, we achieved the production of catalytically active RH in aerobically grown E. coli BL21 derivatives by co-expressing the C. necator hyp1 operon as well as the HoxN high-affinity nickel permease and the dedicated HypX maturase and addition of NiCl2 [21].

The enzyme-based glucose-releasing EnPresso® medium is based on a typical E. coli mineral salt medium supplemented with a non-metabolizable polymer as carbon source. The glucose release from the polymer can be controlled by the amount of enzyme added to the culture, resulting in a quasi-linear increase in cell densities despite permanent glucose limitation [38]. In such growth system proteins are produced under optimal metabolic conditions, thus reducing the risk of incorrectly folding and increasing the portion of soluble proteins, as has been confirmed by the production of different recombinant proteins [38,39,40,41]. Small-scale cultivations in the EnPresso growth system e.g. in microwell-plates or shake-flasks are suitable for estimation and optimization of transferable process parameters, however, the yields stay lower compared to benchtop bioreactors due to lower oxygen transfer rates, restricted glucose availability and the impossibility to provide an exponential feed rate [39, 42]. Hence, the next rational step was the development of a high cell density fed-batch process. Generally, E. coli can be successfully cultivated in bioreactors up to high cell densities by applying a glucose limited fed-batch mode. In this mode, a highly concentrated glucose solution is continuously fed to the reactor as the growth limiting component, and thus the growth rate can be adapted to the oxygen transfer rate, so that aerobic cultivation conditions can be ensured even at high cell densities [43, 44]. In this study, a rationally designed parallelized fed-batch bioreactor process was developed to produce RH at high cell densities. We believe that the data reported herein provide a reasonable bioprocess development approach for realizing difficult-to-express metalloprotein production to meet the demand for active enzyme in basic and applied studies.

Materials and methods

Bacterial strains

E. coli strain BQF8RH8 (BL21-Gold [FompT hsdS(rB– mB–) dcm+ TetR gal endA Hte] carrying plasmids pQF8 and pQF18) [21] was used as the production host. The plasmid pQF8 contains the genes encoding the RH structural subunits under control of a Plac-CTU promoter, while the plasmid pQF18 harbors the native maturation genes encoding the auxiliary proteins HypA1B1F1CDEX and the nickel permease HoxN under the control of a Ptac promoter [21].

Growth media

All main cultures were performed using a defined mineral salt medium (MSM), as described recently [41]. Additionally, a macro element solution was prepared as a 10 × stock containing 146 g L−1 K2HPO4, 40 g L−1 NaH2PO4 × H2O, 20 g L−1 Na2SO4, 25 g L−1 (NH4)2SO4, 5 g L−1 NH4Cl, 10 g L−1 (NH4)2-H-citrate and separately autoclaved for further use in the feeding solution.

For preparation of precultures LB medium (5 g L−1 yeast extract, 10 g L−1 tryptone, 5 g L−1 NaCl for preculture 1) and EnPresso® B medium (EnPresso GmbH, Germany, for preculture 2) were used. For selection, 25 µg mL−1 chloramphenicol and 25 µg mL−1 kanamycin were added to all cultures.

Pre-experiments in 24 deepwell plates

To test cell growth and RH expression in MSM under different nickel or iron concentrations, a 24 deepwell flat-bottom OxoDish® (OD24) plate (PreSens Precision Sensing GmbH, Germany), was used for the pre-experiments. The plate is equipped with oxygen sensors at the bottom of each well, which allows on-line measurement of dissolved oxygen concentration (DO). E. coli BQF8RH8 was first grown in 50 mL of MSM medium containing 9 g L−1 glucose in a 250-mL Ultra-Yield™ flask (UYF; Thomson Instrument Company, USA) sealed with a sterile AirOtop membrane (Thomson Instrument Company, USA) at 37 ℃, 250 rpm for 2 h until an optical density at 600 nm (OD600) of approx. 0.6 was attained, and then 3 mL of culture were distributed into each well of the 24 OxoDish plate. Subsequently, 50 µM IPTG for induction of protein expression and different concentrations of NiSO4 (0, 30, 50, 100, 500, 1000 µM) together with 0.1 mM FeCl3 or different FeCl3 concentrations (0, 30, 50, 100, 500, 1000 µM) together with 0.1 mM NiSO4 were added to the wells. The cultivations were performed at 30 ℃, 250 rpm (Infors HT, 25 mm amplitude, Switzerland) for 21 h of induction. At the end of the cultivation, 3 mL culture broth from each well were collected in two 1.5-mL tubes followed by centrifugation at 4 ℃ with at 16 000 × g for 10 min. The cell pellets were stored at -80 ℃ for further analysis.

Preculture and inoculation conditions for the fed-batch bioreactor cultivations

To ensure a sufficient cell density for inoculation of the bioreactor, a two-step preculture was used. For the 1st pre-culture, 25 mL LB medium in a 125-mL UYF (Thomson Instrument Company, USA) sealed with a sterile AirOtop membrane (Thomson Instrument Company, USA) were inoculated with scratch of colonies from a fresh LB agar plate and incubated for 6 – 8 h at 30 ℃ and 200 rpm (Infors HT, 50 mm amplitude, Switzerland). Next, 1 mL of the pre-seed LB culture was used to inoculate 150 mL EnPresso B medium supplemented with 3 U L−1 reagent A according to the manufacturer’s instructions (EnPresso GmbH, Germany). The fed-batch like preculture was performed in a 1000-mL single-use polycarbonate sensor flask (SFS-HP5-PSt3, PreSens Precision Sensing GmbH, Germany), which allows on-line monitoring of pH, DO and biomass. The culture was shaken at 30 ℃ and 200 rpm for 20 h reaching an OD600 of about 7 (Additional file 1: Fig. S1). Afterwards, the bioreactor was inoculated with the fed-batch like preculture to an initial OD600 of approx. 0.2. To prevent foam formation, 0.01% (v v−1) sterile antifoam 204 (Sigma-Aldrich, Germany) was added to all precultures.

Bioreactor fed-batch culture conditions

The high cell density fed-batch fermentation for heterologous RH production was performed in a 3.7-L bench-top bioreactor with 2 L working volume (KLF2000, Bioengineering AG, Switzerland) with following parameters: the temperature was set to 30 ℃ and 18 ℃ before and after induction, respectively, pH was kept at \(7.0 \pm 0.2\) by controlled feeding of 25% (v v−1) ammonia solution. The bioreactors were equipped with two six-blade Rushton impellers mounted with a distance of 1.5 times the stirrer diameter. The initial stirring speed and air flow were set to 400 rpm and 0.05 vvm, respectively. In order to maintain the DO value above 20% during the fed-batch cultivation, both parameters were stepwise increased manually until their maximum (1,200 rpm, 2 vvm). Foaming was controlled by manual pulse additions with 0.1 mL antifoam when foam appeared.

The fed-batch cultivations started with an initial batch phase in 2 L MSM medium. After glucose depletion (as indicated by zero residual glucose and a sharp increase in DO), the external glucose feeding was initiated exponentially at a specific growth rate (µset) set to approx. 70% of µmax in the batch phase according to Eq. 1.

$$F\left(t\right)={F}_{0}*{e}^{{\mu }_{set}*t}$$
(1)

The initial feed rate F0 (L h−1) was calculated according to Eq. 2. The biomass concentration (\(X\)) was estimated from a previous correlation of OD600 with cell dry weight (CDW) values. One unit of OD600 corresponds to a cell dry weight of 0.3 g L−1 [45]. The specific growth rate (µ) was calculated for the period between two consecutive OD600 measurements and fitted with the best spline. The biomass/substrate yield Yx/s was calculated from the batch phase with the initial glucose concentration (S). Si represents the glucose concentration of the feed solution, and X0 and V0 are the biomass concentration and culture volume at the start of the fed-batch phase, respectively.

$${F}_{0}=\frac{{\mu }_{set}}{{Y}_{x/s}*{S}_{i}}\left({X}_{0} {V}_{0}\right)$$
(2)

The feeding solution consisted of 650 g L−1 glucose supplemented with 10% (v v−1) macro element solution and 0.2% (v v−1) trace element solution, as well as 1 g L−1 thiamine. When a stirring speed of 1,200 rpm and aeration rate of 2 vvm were reached (corresponding to an OD600 of about 75), RH production was induced by addition of 150 µM IPTG per OD600 of 75. In parallel 0.3 mM NiSO4 and 1.5 mM FeCl3 were added per OD600 of 75. After induction, the feeding rate was kept constant and eventually decreased to avoid anaerobic growth or overflow metabolism. At the beginning of induction, the inducer was also added to the feeding solution at a concentration of 150 µM and constantly fed to the bioreactor with a total additional IPTG of approx. 90 µmol per 2 L bioreactor culture. The production phase was carried out for 132 h at 18 ℃ under glucose-limited conditions. During the whole fed-batch cultivation, 4 mL of 1 M MgSO4 was added aseptically to the bioreactor with each OD600 increase of ~ 20.

Sampling and analytical methods of the bioreactor fermentation

Before induction, sampling was performed every 2 h, whereas sampling was carried out in larger time intervals after induction. At every sampling point, the OD600 was measured manually in duplicates with a spectrophotometer (Ultraspec 3300, GE Healthcare, USA) at a dilution (in 0.9% NaClaq) in a measurement range of 0.2–0.8.

For CDW determination, duplicates of 2 mL aliquots of the culture were harvested in pre-weighted 2-mL tubes by centrifugation (21,500 × g, 4 ℃, 10 min). The pellets were washed under the same conditions with 0.9% NaClaq to remove residual culture medium. After centrifugation, the washed pellets were dried at 80 ℃ for 24 h and the CDW was determined by weighing the dried cell-containing tubes. The supernatants were analyzed with a Cedex Bio HT Analyzer (Roche Diagnostics International AG, Switzerland) using test kits for glucose, Mg2+, ammonia, acetate and iron (Glucose Bio HT, Magnesium Bio HT, NH3 Bio HT, Acetate V2 Bio HT, Iron Bio HT).

Additionally, 1 mL broth samples were collected at the selected sampling times for total protein analysis. The samples were centrifuged (21,500×g, 4 ℃, 10 min), the supernatant discarded and the pellet stored at − 80 ℃ until further analysis. For soluble RH purification, cells were harvested from 20 mL culture samples followed by centrifugation at 8,000×g, 4 ℃ for 10 min (Eppendorf, Germany) at different times after induction and pellets were stored at  − 80 ℃.

Off-gas data performed with a BlueInOneFERM-sensor gas analyzer for parallel measurement of O2 and CO2 concentrations (BlueSens gas sensor GmbH, Germany) was recorded for both bioreactors during the fed-batch cultivations, and served for the determination of the oxygen uptake rate (QO2), carbon dioxide production rate (QCO2), respiration coefficient (RQ) and the volumetric oxygen transfer coefficient (kLa) based on the gas mass balance.

RH purification

For total protein analysis, the pellets were resuspended in 2 × SDS sample buffer normalized to an OD600 of 25 and heated at 95 ℃ for 20 min. After cooling and centrifugation 12 µL of the SDS-denatured samples were separated in 12% PAA gels. Subsequently, proteins were transferred onto a PVDF membrane (0.45 µm pore size, Carl Roth, Germany) by semi-dry blotting in a Transblot Turbo Transfer system (Bio-Rad, Germany) at 1.3 A/25 V for 30 min. Detection of Strep-tagged HoxB was carried out as described previously [33, 34].

For soluble protein purification cell pellets were resuspended in 4 mL buffer A (100 mM Tris–HCl, pH 8.0, 150 mM NaCl) per g wet cells supplemented with 1 g L−1 lysozyme and 1 mM PMSF. The cells were disrupted by sonicating using the UP200S sonicator (Hielscher Ultrasonics GmbH, Germany, 30 s on/off, 7 mm sonotrode diameter, 60% amplitude) for 2.5 min per 2 g of wet cell weight. The cell-free extracts were centrifuged at 8,000×g, 4 ℃ for 1.5 h (Eppendorf, Germany) and the supernatant was collected (SE) and immediately applied to Strep-Tactin Superflow columns (IBA, Göttingen, Germany) for soluble RH purification. RH purification and quantification were carried out as previously described [21, 33, 34].

Western blotting

Western blotting was performed as described recently [33]. For soluble and insoluble protein analysis, 100 µL aliquots lysate suspension after sonication were centrifuged at 16,000×g, 4 ℃ for 45 min. The supernatant was transferred into a fresh 1.5-mL tube (soluble fraction) and mixed with 100 µL 2 × SDS sample buffer, whilst the pellet containing insoluble proteins and cell debris was resuspended in 200 µL 2 × SDS sample buffer. Afterwards, the samples were incubated at 95 ℃ for 10 min or 20 min for soluble and insoluble fractions, respectively. 15 µL of each sample were applied for SDS-PAA gel and subsequent Western blot analysis.

Results and discussion

Metal effect on cell growth and active RH production in glucose MSM

Previously we used the fed-batch like EnPresso system to screen essential process parameters, e.g. production strain, inducer concentration, production temperature or metal ion supplementation, required for active RH production in deepwell plates or shake flasks [21, 33]. This guarantees that the same cultivation mode (fed-batch mode) is used for small-scale optimization and for large-scale bioreactor cultivation. However, numerous studies have shown that high nickel supplementation has a significantly more negative effect on cell viability in MSM compared to complex media [46,47,48]. So before proceeding with bioreactor cultures, we analyzed the effects of nickel and/or iron additions on cell growth and active RH production in glucose MSM cultures.

Thus, we performed deepwell plate cultivations of E. coli strain BQF8RH8 in 3 mL MSM with 9 g L−1 glucose supplemented with different concentrations of NiSO4 or FeCl3 as described in Materials and methods. The dissolved oxygen concentration (Fig. 1A and B) was measured on-line over the entire induction time as an indicator for cell growth. In addition, the final OD (Fig. 1C), total RH (Fig. 1D and E) and its activity in the soluble protein extract (Fig. 1F) were determined at the end of cultivation. With increasing cell growth, more oxygen is required, which leads to a decrease in the DO level. In case of iron addition, no differences in oxygen consumption irrespective of the iron concentration were observed (Fig. 1A), suggesting no negative impact on cell growth. On the contrary, the increase of the DO level after about 17 h at 0 and 30 mM FeCl3 (Fig. 1A) indicates a drop in the metabolic activity of the cells that might be the consequence of an iron deficiency caused by an increased iron demand due to RH production. While the addition of up to 100 µM NiCl2 lead to a similar decrease of the DO level as in the case of FeCl3, addition of 0.5 or 1 mM NiCl2 resulted in a significantly reduced DO consumption, which indicates a significant reduction of cell growth or prolonged cellular adaptation of the strain in mineral salt medium (Fig. 1B). Interestingly, without additional nickel, a rise in the DO level is also observed after about 16 h of induction (Fig. 1B), indicating a limitation of nickel analogous to the iron limitation. In both cases, the results of the DO curves are confirmed by the final ODs (Fig. 1C). Similarly, none of the tested iron or nickel additions affected the specific RH production (Fig. 1D, E), thus higher nickel concentrations resulted in a significant decrease in total RH yield due to the reduced growth (Fig. 1E). However, increasing metal concentrations of up to 0.1 mM nickel or 0.5 mM iron had a positive effect on the specific RH activity, which ceased to increase at higher metal ion concentrations (Fig. 1F). This is in line with previous studies on recombinant [NiFe]-hydrogenase production in E. coli showing the highest in vitro activity at 25–30 µM NiCl2 in modified mineral salt medium cultures [49,50,51,52]. Hence, nickel and iron concentrations of 0.1 mM and 0.5 mM, respectively, were selected for the following bioreactor cultivations.

Fig. 1
figure 1

Screening of nickel and iron concentrations in mineral salt medium. Cells were grown in mineral salt medium with 9 g L−1 glucose. After induction with 50 µM IPTG, 3 mL culture were distributed in 24-deepwell plates at 30 ℃, 250 rpm and supplemented with different nickel or iron concentrations. 0.1 mM FeCl3 was added for nickel screenings while 0.1 mM NiSO4 was added for iron screenings. For RH detection 3 mL cells were normalized to an OD600 of 30 with 50 mM KH2PO4/K2HPO4 buffer pH 7.0 and sonicated followed by centrifugation. 12 µL soluble protein sample was separated on 12% polyacrylamide gels followed by Western blotting where HoxB from RH was detected using anti-Strep tag antibody. 1 µg HoxCstr was used as control. A, B profiles of online dissolved oxygen concentration (DO) of the cultures after induction. C Final OD600 of cultures, D Western Blot (WB) analysis of soluble crude extracts. Bands were quantified relative to the control HoxCstr using ImageJ as shown below the blots. E soluble RH yields (without slash) and specific yields (with slash) as quantified from WB analysis, F specific activities measured from soluble crude extracts. All measured ODs and yields are the mean of two independent technical replicates

High cell density fed-batch cultivation

As cultivations in shake flasks with EnPresso B medium cannot meet the possible hydrogenase demand for an industrial application, production in a larger scale and higher cell density is necessary. Thus, we aimed to develop a glucose-limited high cell density fed-batch in a benchtop bioreactor. The cultivations were performed in a 3.7-L lab-scale bioreactor filled with 2 L of MSM minimal medium containing an initial glucose concentration of 8.5 g L−1 as sole carbon source. The process was divided into three phases (Fig. 2A): (i) an initial batch phase, followed (ii) by an exponential feeding phase after which the RH production was induced by the addition of IPTG, and (iii) finally the production phase with constant feeding until the end of cultivation. During the 18 h batch phase, the initial glucose was completely consumed, as indicated by offline glucose measurements (Fig. 2B). Whenever the DO dropped below 30% either the stirrer speed or the aeration rate were increased manually to avoid oxygen limitation (Additional file 1: Fig. S2A). At the end of the batch phase the culture reached an OD600 of 11 (CDW of 4.2 g L−1) and a maximal specific growth rate (µmax) of 0.25 h−1 (Fig. 2A). In the batch phase, a biomass yield of 0.5 g biomass g−1 glucose was determined, which is slightly higher than the range of the most E. coli strains (0.35–0.48 g g−1), indicating stress-free growth and effective incorporation of the supplied carbon into biomass [53]. After glucose depletion, an exponential feed with concentrated (650 g L−1) glucose solution was started. The feed rate was calculated to ensure a targeted specific growth rate of 0.18 h−1 (Fig. 2A). During the whole process, the DO was maintained above 20% by gradually increasing air flow rate or stirring speed to prevent oxygen limitation or anaerobic conditions, as this would lead to the accumulation of acetate or other mixed acid fermentation products that are detrimental to cell growth and recombinant protein production [44, 54, 55]. The exponential feed was stopped after 29 h, when an OD600 of approx. 75 was reached (corresponding to a CDW of 28.5 g L−1, Fig. 2A). After the exponential feeding phase, the temperature was reduced to 18 °C and RH production induced by IPTG addition. Simultaneously, NiCl2 and FeCl3 were added to provide sufficient metal ions for RH maturation. A constant feed rate was applied during the production phase, which was gradually decreased due to the lower glucose consumption at 18 °C to avoid acetate accumulation [56,57,58]. Nevertheless, the cells continued to grow with a specific growth rate below 0.01 h−1 until the end of the cultivation, reaching a final OD600 and CDW of 150 and 66 g L−1, respectively (Fig. 2A). However, neither glucose nor acetate accumulated during the production phase (Fig. 2B). Since addition of IPTG led to a decrease of respiration, the DO level rose and was maintained at 75% during the production phase (Additional file 1: Fig. S2A).

Fig. 2
figure 2

High cell density fed-batch bioreactor cultivation for RH production with E. coli BL21-Gold pQF8 and pQF18. A Cell growth curve, biomass, specific growth rate and glucose feeding rate. B Residual glucose concentration, acetate and iron concentrations measured from culture supernatant. C The yields for total volumetric, specific, and space–time RH production were determined from Western blotting analysis after induction. The three phases of the process are shown by different color backgrounds: white batch phase, yellow exponential feeding phase, and gray production phase. All values are the mean of two independent technical replicates from two independent biological replicates

During the cultivation, a final biomass concentration (66.3 g L−1 CDW) was reached by consumption of a total of 438.2 g glucose, corresponding to an average yield of biomass per substrate YX/S of 0.3 g g−1 (Additional file 1: Fig. S2B). The obtained OD600 of 150 is fivefold higher compared to fed-batch-like EnPresso shake flask cultivations (OD600 of 30–40) [21, 33, 34] and even 32-times higher than in batch MSM cultivations performed in deepwell plates (Fig. 1C). It is estimated that the volumetric oxygen transfer coefficient (kLa) value in the stirred-tank bioreactor is about threefold higher compared to the 250-mL UYF at 200 rpm (~ 422 h−1) [59], thus, enabling aerobic cultivation to high cell densities. As the biomass increased, the gas flow rate was increased up to 2 vvm at a stirring speed of 1,200 rpm (Additional file 1: Fig. S2A). By this way, based on the sensor for exhaust gas analysis, a maximal kLa value of approx.1,200 h−1 was determined during the growth phase, which is comparable to other E. coli cultivations with the same bioreactor system [41]. The respiration quotient (RQ) as a ratio of carbon dioxide produced per oxygen consumed increased after the feed start, and immediately decreased slightly after the induction followed by maintaining at a relatively constant value of about 1 until the end of the cultivation (Additional file 1: Fig S2C). The RQ close to 1 indicates an equilibrium between respiration, cell growth and carbon dioxide production without accumulation of byproducts, e.g. acetate or lactose, which is in line with the acetate measurements (Fig. 2B).

In parallel to induction with IPTG, 1.5 mM FeCl3 and 0.3 mM NiCl2 were added to provide sufficient metal ions for RH maturation. The iron concentration in the medium decreases steadily as iron is required for the hydrogenase production, and finally levels off at a value of approx. 80 µM, suggesting that sufficient iron is available in the medium (Fig. 2B). To follow the RH production during the production process, samples were collected at different time points after induction and used for the determination of the total RH concentration. The Western blotting analyses indicate that the RH is stably produced and gradually accumulated approx. 320 mg L−1 (Additional file 1: Figs. S3 and 2C). Similarly, the specific yield increased to about 5 mg RH g−1 CDW in the first 48 h after induction and remained at this level thereafter (Fig. 2C), thereby further demonstrating the stability of the RH production over the entire duration of the process.

Evaluation of RH yield and activity

The soluble RH yield and the enzymatic activity are decisive criteria for assessing the success of a cultivation. To follow the RH production, 20 mL samples were collected at different time points after induction and used for purification of the soluble RH and subsequent measurement of its enzymatic activity. As expected, both volumetric and specific RH yield increased over time (Fig. 3A). While the volumetric yield increased steadily due to the increasing biomass in the reactor and reached a final level of 133 mg L−1, the specific yield reaches a maximum of about 2 mg g−1 CDW already at 48 h after induction and does not increase significantly further until the end of the cultivation after 132 h of induction (Fig. 3A). Unfortunately, the amount of purified soluble RH corresponds to only about 40% of the total RH yield (Figs. 2C and 3A). When analyzing the protein content of sonication-lysed cells, half of the total RH amount was still found in the insoluble cell fraction (Additional file 1: Fig S4), which has not been observed in shake flask cultivations [21, 33, 34]. The difference may be related to the much higher cell densities and time of cultivation which affect the adaptation of the cellular system in connection to the protein synthesis system and the stress responses. It may be hypothesized that the extracellular cAMP level could be one of the key factors which would affect the expression strength and thus the balance between correctly folding and aggregation of target protein [60]. Besides product formation at high cell densities, expression at low growth rates may provide a positive effect by an increased stress resistance, which could be important in response to environmental changes caused by high cell density cultivations [61]. Nevertheless, previous studies in the measurement of the stringent response ppGpp level during the very slow growth for both recombinant and non-recombinant E. coli fed-batch processes, indicate the segregation of a part of the cell population into viable but nonculturable cells at very slow growth rates (˂0.02 h−1) [62, 63]. Thus, those may serve as analytical focus points for further improvements in terms of RH activity and solubility in larger scale high cell density bioreactor cultivations.

Fig. 3
figure 3

Soluble RH production and activity yield obtained from the fed-batch bioreactor fermentation. 20 mL cells were collected at different induction times from two parallelized bioreactor under the same conditions. Cells were disrupted with sonication on ice (60% amptitude, 7 mm sonotrode, 30 s on/off, 10 min) followed by centrifugation (8000×g, 4 ℃, 90 min). The clarified lysates were purified using Strep-Tactin columns (CV of 500 µL). A The eluted RH amounts were quantified with SDS-PAGE analysis and B the activities of the purified RH samples were measured in vitro. All values are the mean of two independent technical replicates from two independent biological replicates

The space–time yield increases with the volumetric yield, at least at the beginning of the production phase. However, it reaches a maximum of approx. 24 mg (L d)−1 after 48 h of induction and then starts to decrease steadily (Fig. 3A). Nevertheless, the soluble protein yield is still more than 130-fold higher than the RH yield obtained from bioreactor cultivations of the native producer C. necator [30] and even several thousand-times higher than that of the Pyrococcus furiosus [NiFe]-hydrogenase heterologously produced in E. coli [49], further demonstrating the value of our cultivation strategy.

Similar to the increase in protein yield, the specific and absolute RH activity increase and reach final values of 1.23 U mg−1 and 160 U L−1, respectively (Fig. 3B). The activities and yields achieved were 1.3 and 160 times higher than those obtained from C. necator H16, respectively. [30]. However, compared to our recently reported data from shake flask cultivations the specific RH activity is about 2.5-fold lower [21]. The specific activity is proportional to the amount of cofactor formed and incorporated into the apo-enzyme, thus it is possible that the RH apoprotein cannot receive cofactors as efficiently as the enzyme produced in shake flasks, presumably due to different medium used. In deepwell plate experiments with MSM medium (Fig. 1) or EnPresso shake flask cultivations [21], the highest RH activity was achieved by addition of 0.1 mM NiSO4 at an OD600 of 5 or 8, while in the bioreactor cultivation 0.3 mM NiSO4 was added only once at an OD600 of 75 (Fig. 2). Thus, the lower specific RH activity obtained in the bioreactor cultivations might be attributed to the lower concentration of added nickel relative to the higher cell densities, resulting in insufficient nickel being delivered to the cells. Nevertheless, the production of soluble RH is significantly higher in the bioreactor, thus compensating for the lower specific activity compared to the shake flasks.

Conclusion

In this study, the scalability and robustness of the heterologous RH production process from small-scale cultivation to laboratory-scale bioreactors was successfully demonstrated. The high cell density fed-batch cultivation resulted in a soluble active RH yield of more than 130 mg L−1 and as high as 320 mg L−1 for total RH titers, based on a pure glucose limiting feeding strategy. Our results are promising as they show that active RH production is not disturbed by scaling effects, demonstrating the robustness of the hydrogenase production process when providing reproducible growth conditions at different scales. However, a limitation of the current scale-up study is that the highest specific RH activity achieved in previous shake flask scales [21] could not yet be maintained in the bioreactor scale, suggesting potential for further optimization, e.g. in media requirements. In addition, further research will be necessary to elucidate whether the inducer IPTG concentration enables to satisfy the induction behavior of individual cells at high cell density cultures at both macroscopic and microscopic levels, as it can trigger stress responses in E. coli leading to pre-induced cells remaining induced and non-induced cells. Nevertheless, we strongly believe that the data reported herein qualitatively and quantitatively provides a reasonable approach for the development of bioprocesses for the production of difficult-to-express metalloproteins to meet the needs in basic and applied studies. The developed bioreactor cultivation system for the production of active [NiFe]-hydrogenases, provides a good opportunity for an economical supply of such metalloenzymes in high concentrations, facilitating basic and applied research on these proteins as well as their potential industrial application. Furthermore, there are also broader implications for the future development of biotechnological production systems for heterologous functional complex heteromeric metalloproteins.

Availability of data and materials

All data generated or analyzed during this study are included in this published article [and its supplementary information files].

References

  1. Fontecilla-Camps JC, Amara P, Cavazza C, Nicolet Y, Volbeda A. Structure-function relationships of anaerobic gas-processing metalloenzymes. Nature. 2009;460:814–22.

    Article  CAS  PubMed  Google Scholar 

  2. Greening C, Biswas A, Carere CR, Jackson CJ, Taylor MC, Stott MB, et al. Genomic and metagenomic surveys of hydrogenase distribution indicate H2 is a widely utilised energy source for microbial growth and survival. ISME J. 2016;10:761–77.

    Article  CAS  PubMed  Google Scholar 

  3. Greening C, Constant P, Hards K, Morales SE, Oakeshott JG, Russell RJ, et al. Atmospheric hydrogen scavenging: from enzymes to ecosystems. Appl Environ Microbiol. 2015;81:1190–9.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  4. Lubitz W, Ogata H, Ru O, Reijerse E. Hydrogenases. Chem Rev. 2014;114:4081–148.

    Article  CAS  PubMed  Google Scholar 

  5. Pierik AJ, Schmelz M, Lenz O, Friedrich B, Albracht SPJ. Characterization of the active site of a hydrogen sensor from Alcaligenes eutrophus. FEBS Lett. 1998;438:231–5.

    Article  CAS  PubMed  Google Scholar 

  6. Lenz O, Lauterbach L, Frielingsdorf S, Friedrich B. Oxygen-tolerant hydrogenases and their biotechnological potential. In: Rögner M, editor. Biohydrogen. Berlin: DE GRUYTER; 2015. p. 61–96.

    Chapter  Google Scholar 

  7. Krassen H, Schwarze A, Friedrich B, Ataka K, Lenz O, Heberle J. Photosynthetic hydrogen production by a hybrid complex of photosystem I and [NiFe]-hydrogenase. ACS Nano. 2009;3:4055–61.

    Article  CAS  PubMed  Google Scholar 

  8. Schwarze A, Kopczak MJ, Rogner M, Lenz O. Requirements for construction of a functional hybrid complex of photosystem I and [NiFe]-hydrogenase. Appl Environ Microbiol. 2010;76:2641–51.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Zhang L, Morello G, Carr SB, Armstrong FA. Aerobic photocatalytic H2 production by a [NiFe] hydrogenase engineered to place a silver nanocluster in the electron relay. J Am Chem Soc. 2020;142:12699–707.

    Article  CAS  PubMed  Google Scholar 

  10. Cracknell JA, Vincent KA, Armstrong FA. Enzymes as working or inspirational electrocatalysts for fuel cells and electrolysis. Chem Rev. 2008;108:2439–61.

    Article  CAS  PubMed  Google Scholar 

  11. De Poulpiquet A, Marques-Knopf H, Wernert V, Giudici-Orticoni MT, Gadiou R, Lojou E. Carbon nanofiber mesoporous films: efficient platforms for bio-hydrogen oxidation in biofuel cells. Phys Chem Chem Phys. 2014;16:1366–78.

    Article  CAS  PubMed  Google Scholar 

  12. Xu L, Armstrong FA. Optimizing the power of enzyme-based membrane-less hydrogen fuel cells for hydrogen-rich H2–air mixtures. Energy Environ Sci. 2013;6:2166–71.

    Article  CAS  Google Scholar 

  13. Reeve HA, Lauterbach L, Ash PA, Lenz O, Vincent KA. A modular system for regeneration of NAD cofactors using graphite particles modified with hydrogenase and diaphorase moieties. Chem Commun. 2012;48:1589–91.

    Article  CAS  Google Scholar 

  14. Lauterbach L, Lenz O, Vincent KA. H2-driven cofactor regeneration with NAD(P)+-reducing hydrogenases. FEBS J. 2013;280:3058–68.

    Article  CAS  PubMed  Google Scholar 

  15. Preissler J, Reeve HA, Zhu T, Nicholson J, Urata K, Lauterbach L, et al. Dihydrogen-driven NADPH recycling in imine reduction and P450-catalyzed oxidations mediated by an engineered O2-tolerant hydrogenase. ChemCatChem. 2020;12:4853–61.

    Article  CAS  Google Scholar 

  16. Mertens R, Liese A. Biotechnological applications of hydrogenases. Curr Opin Biotechnol. 2004;15:343–8.

    Article  CAS  PubMed  Google Scholar 

  17. Atomi H, Sato T, Kanai T. Application of hyperthermophiles and their enzymes. Curr Opin Biotechnol. 2011;22:618–26.

    Article  CAS  PubMed  Google Scholar 

  18. Friedrich B, Fritsch J, Lenz O. Oxygen-tolerant hydrogenases in hydrogen-based technologies. Curr Opin Biotechnol. 2011;22:358–64.

    Article  CAS  PubMed  Google Scholar 

  19. Kim JYH, Cha HJ. Recent progress in hydrogenase and its biotechnological application for viable hydrogen technology. Korean J Chem Eng. 2013;30:1–10.

    Article  CAS  Google Scholar 

  20. Fan Q, Neubauer P, Lenz O, Gimpel M. Heterologous hydrogenase overproduction systems for biotechnology—An overview. Int J Mol Sci. 2020;21:5890.

    Article  CAS  PubMed Central  Google Scholar 

  21. Fan Q, Caserta G, Lorent C, Zebger I, Neubauer P, Lenz O, et al. High-yield production of catalytically active regulatory [NiFe]-hydrogenase from Cupriavidus necator in Escherichia coli. Front Microbiol. 2022;13: 894375.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Lenz O, Strack A, Tran-Betcke A, Friedrich B. A hydrogen-sensing system in transcriptional regulation of hydrogenase gene expression in Alcaligenes species. J Bacteriol. 1997;179:1655–63.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Lenz O, Friedrich B. A novel multicomponent regulatory system mediates H2 sensing in Alcaligenes eutrophus. Proc Natl Acad Sci. 1998;95:12474–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Kleihues L, Lenz O, Bernhard M, Buhrke T, Friedrich B. The H2 sensor of Ralstonia eutropha is a member of the subclass of regulatory [NiFe] hydrogenases. J Bacteriol. 2000;182:2716–24.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Brecht M, van Gastel M, Buhrke T, Friedrich B, Lubitz W. Direct detection of a hydrogen ligand in the [NiFe] center of the regulatory H2-Sensing Hydrogenase from Ralstonia eutropha in its reduced state by HYSCORE and ENDOR Spectroscopy. J Am Chem Soc. 2003;125:13075–83.

    Article  CAS  PubMed  Google Scholar 

  26. Ash PA, Liu J, Coutard N, Heidary N, Horch M, Gudim I, et al. Electrochemical and infrared spectroscopic studies provide insight into reactions of the NiFe regulatory hydrogenase from Ralstonia eutropha with O2 and CO. J Phys Chem B. 2015;119:13807–15.

    Article  CAS  PubMed  Google Scholar 

  27. Roncaroli F, Bill E, Friedrich B, Lenz O, Lubitz W, Pandelia ME. Cofactor composition and function of a H2-sensing regulatory hydrogenase as revealed by Mössbauer and EPR spectroscopy. Chem Sci. 2015;6:4495–507.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Horch M, Schoknecht J, Mroginski MA, Lenz O, Hildebrandt P, Zebger I. Resonance raman spectroscopy on [NiFe] hydrogenase provides structural insights into catalytic intermediates and reactions. J Am Chem Soc. 2014;136:9870–3.

    Article  CAS  PubMed  Google Scholar 

  29. Caserta G, Pelmenschikov V, Lorent C, Tadjoung Waffo AF, Katz S, Lauterbach L, et al. Hydroxy-bridged resting states of a [NiFe]-hydrogenase unraveled by cryogenic vibrational spectroscopy and DFT computations. Chem Sci. 2021;12:2189–97.

    Article  CAS  Google Scholar 

  30. Bernhard M, Buhrke T, Bleijlevens B, De Lacey AL, Fernandez VM, Albracht SPJ, et al. The H2 sensor of Ralstonia eutropha. J Biol Chem. 2001;276:15592–7.

    Article  CAS  PubMed  Google Scholar 

  31. Buhrke T, Brecht M, Lubitz W, Friedrich B. The H2 sensor of Ralstonia eutropha: Biochemical and spectroscopic analysis of mutant proteins modified at a conserved glutamine residue close to the [NiFe] active site. JBIC J Biol Inorg Chem. 2002;7:897–908.

    Article  CAS  PubMed  Google Scholar 

  32. Buhrke T, Löscher S, Lenz O, Schlodder E, Zebger I, Andersen LK, et al. Reduction of unusual iron-sulfur clusters in the H2-sensing regulatory NiFe hydrogenase from Ralstonia eutropha H16. J Biol Chem. 2005;280:19488–95.

    Article  CAS  PubMed  Google Scholar 

  33. Fan Q, Caserta G, Lorent C, Lenz O, Neubauer P, Gimpel M. Optimization of culture conditions for oxygen-tolerant regulatory [NiFe]-hydrogenase production from Ralstonia eutropha H16 in Escherichia coli. Microorganisms. 2021;9:1195.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Fan Q, Neubauer P, Gimpel M. Production of soluble regulatory hydrogenase from Ralstonia eutropha in Escherichia coli using a fed-batch-based autoinduction system. Microb Cell Fact. 2021;20:1–22.

    Article  CAS  Google Scholar 

  35. Buhrke T, Bleijlevens B, Albracht SPJ, Friedrich B. Involvement of hyp gene products in maturation of the H2-sensing [NiFe] hydrogenase of Ralstonia eutropha. J Bacteriol. 2001;183:7087–93.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Lacasse MJ, Zamble DB. [NiFe]-hydrogenase maturation. Biochemistry. 2016;55:1689–701.

    Article  CAS  PubMed  Google Scholar 

  37. Fritsch J, Lenz O, Friedrich B. Structure, function and biosynthesis of O2-tolerant hydrogenases. Nat Rev Microbiol. 2013;11:106–14.

    Article  CAS  PubMed  Google Scholar 

  38. Krause M, Ukkonen K, Haataja T, Ruottinen M, Glumoff T, Neubauer A, et al. A novel fed-batch based cultivation method provides high cell-density and improves yield of soluble recombinant proteins in shaken cultures. Microb Cell Fact. 2010;9:11.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  39. Šiurkus J, Panula-Perälä J, Horn U, Kraft M, Rimšeliene R, Neubauer P. Novel approach of high cell density recombinant bioprocess development: optimisation and scale-up from microlitre to pilot scales while maintaining the fed-batch cultivation mode of E. coli cultures. Microb Cell Fact. 2010;9:35.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  40. Li J, Jaitzig J, Lu P, Süssmuth RD, Neubauer P. Scale-up bioprocess development for production of the antibiotic valinomycin in Escherichia coli based on consistent fed-batch cultivations. Microb Cell Fact. 2015;14:83.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  41. Ongey EL, Santolin L, Waldburger S, Adrian L, Riedel SL, Neubauer P. Bioprocess development for lantibiotic ruminococcin-A production in Escherichia coli and kinetic insights into LanM enzymes catalysis. Front Microbiol. 2019;10:2133.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Krause M, Neubauer A, Neubauer P. The fed-batch principle for the molecular biology lab: controlled nutrient diets in ready-made media improve production of recombinant proteins in Escherichia coli. Microb Cell Fact. 2016;15:1–14.

    Article  CAS  Google Scholar 

  43. Jung G, Denefle P, Becquart J, Mayaux JF. High-cell density fermentation studies of recombinant Escherichia coli strains expressing human interleukin-1β. Ann l’Institut Pasteur/Microbiologie. 1988;139:129–46.

    Article  CAS  Google Scholar 

  44. Shiloach J, Fass R. Growing E. coli to high cell density—A historical perspective on method development. Biotechnol Adv. 2005;23:345–57.

    Article  CAS  PubMed  Google Scholar 

  45. Soini J, Ukkonen K, Neubauer P. High cell density media for Escherichia coli are generally designed for aerobic cultivations – consequences for large-scale bioprocesses and shake flask cultures. Microb Cell Fact. 2008;7:26.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  46. Rowe JL, Starnes GL, Chivers PT. Complex transcriptional control links NikABCDE-dependent nickel transport with hydrogenase expression in Escherichia coli. J Bacteriol. 2005;187:6317–23.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Macomber L, Hausinger RP. Mechanisms of nickel toxicity in microorganisms. Metallomics. 2011;3:1153–62.

    Article  CAS  PubMed  Google Scholar 

  48. Schiffels J, Pinkenburg O, Schelden M, Aboulnaga EHAA, Baumann MEM, Selmer T. An innovative cloning platform enables large-scale production and maturation of an oxygen-tolerant [NiFe]-hydrogenase from Cupriavidus necator in Escherichia coli. PLoS ONE. 2013;8: e68812.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Sun J, Hopkins RC, Jenney FE, McTernan PM, Adams MWW. Heterologous expression and maturation of an NADP-dependent [NiFe]-Hydrogenase: a key enzyme in biofuel production. PLoS ONE. 2010;5: e10526.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  50. Kim JY, Jo B, Cha H. Production of biohydrogen by recombinant expression of [NiFe]-hydrogenase 1 in Escherichia coli. Microb Cell Fact. 2010;9:54.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  51. Kim JYH, Jo BH, Cha HJ. Production of biohydrogen by heterologous expression of oxygen-tolerant Hydrogenovibrio marinus [NiFe]-hydrogenase in Escherichia coli. J Biotechnol. 2011;155:312–9.

    Article  CAS  PubMed  Google Scholar 

  52. Ghosh D, Bisaillon A, Hallenbeck PC. Increasing the metabolic capacity of Escherichia coli for hydrogen production through heterologous expression of the Ralstonia eutropha SH operon. Biotechnol Biofuels. 2013;6:122.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Fahnert B, Lilie H, Neubauer P. Inclusion bodies: Formation and utilisation. Adv Biochem Eng Biotechnol. 2004;89:93–142.

    CAS  PubMed  Google Scholar 

  54. Xu B, Jahic M, Blomsten G, Enfors SO. Glucose overflow metabolism and mixed-acid fermentation in aerobic large-scale fed-batch processes with Escherichia coli. Appl Microbiol Biotechnol. 1999;51:564–71.

    Article  PubMed  Google Scholar 

  55. Lin HY, Mathiszik B, Xu B, Enfors SO, Neubauer P. Determination of the maximum specific uptake capacities for glucose and oxygen in glucose-limited fed-batch cultivations of Escherichia coli. Biotechnol Bioeng. 2001;73:347–57.

    Article  CAS  PubMed  Google Scholar 

  56. Sandén AM, Prytz I, Tubulekas I, Förberg C, Le H, Hektor A, et al. Limiting factors in Escherichia coli fed-batch production of recombinant proteins. Biotechnol Bioeng. 2003;81:158–66.

    Article  PubMed  CAS  Google Scholar 

  57. Neubauer P, Lin HY, Mathiszik B. Metabolic load of recombinant protein production: inhibition of cellular capacities for glucose uptake and respiration after induction of a heterologous gene in Escherichia coli. Biotechnol Bioeng. 2003;83:53–64.

    Article  CAS  PubMed  Google Scholar 

  58. Hoffmann F, Rinas U. Stress induced by recombinant protein production in Escherichia coli. Adv Biochem Eng Biotechnol. 2004;89:73–92.

    CAS  PubMed  Google Scholar 

  59. Glazyrina J, Materne E, Hillig F, Neubauer P, Junne S. Two-compartment method for determination of the oxygen transfer rate with electrochemical sensors based on sulfite oxidation. Biotechnol J. 2011;6:1003–8.

    Article  CAS  PubMed  Google Scholar 

  60. Lin H, Hoffmann F, Rozkov A, Enfors SO, Rinas U, Neubauer P. Change of extracellular cAMP concentration is a sensitive reporter for bacterial fitness in high-cell-density cultures of Escherichia coli. Biotechnol Bioeng. 2004;87:602–13.

    Article  CAS  PubMed  Google Scholar 

  61. Neubauer P, Winter J. Expression and fermentation strategies for recombinant protein production in Escherichia coli. Recombinant protein production with prokaryotic and eukaryotic cells. A comparative view on host physiology. Dordrecht: Springer; 2001. p. 195–258.

    Chapter  Google Scholar 

  62. Neubauer P, Hunan M, Tiirnkvist M, Larsson G, Enfors SO. Response of guanosine tetraphosphate to glucose fluctuations in fed-batch cultivations of Escherichia coli. J Biotechnol. 1995;43:195–204.

    Article  CAS  PubMed  Google Scholar 

  63. Teich A, Meyer S, Lin HY, Andersson L, Enfors SO, Neubauer P. Growth rate related concentration changes of the starvation response regulators σS and ppGpp in glucose-limited fed-batch and continuous cultures of Escherichia coli. Biotechnol Prog. 1999;15:123–9.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We wish to thank Dr. Oliver Lenz and Janna Schoknecht for the opportunity to use the spectroscopic facility for in vitro activity measurements. We thank Roche CustomBiotech (Mannheim, Germany) for the supply of the Cedex Bio HT Analyzer. We acknowledge support by the German Research Foundation and the Open Access Publication Fund of TU Berlin.

Funding

Open Access funding enabled and organized by Projekt DEAL. This work was supported by the Cluster of Excellence “Unifying Systems in Catalysis” (UniSysCat) coordinated by the Technische Universität Berlin and its graduate school, Berlin International Graduate School of Natural Sciences and Engineering (BIG-NSE), funded by the German Research Foundation (DFG) under Germany’s Excellence Strategy (EXC 2008/1–390540038). QF obtained a grant from the German Academic Exchange Service (DAAD).

Author information

Authors and Affiliations

Authors

Contributions

MG, QF, SW, SR, PN participated in experimental design and interpretation of the results. QF carried out all molecular biological and biochemical experiments. QF and SW performed the bioreactor cultivation experiments. SR supervised the bioreactor cultivations. QF performed the activity measurements. All authors analyzed the data with major contributions from QF and MG. QF drafted the original manuscript. MG, SW, PN and SR revised the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Matthias Gimpel.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1: Figure S1

. Profiles of dissolved oxygen concentration, pH and biomass of the 2nd preculture in EnPresso B medium. Figure S2. Supplementary information of the fed-batch bioreactor cultivations, Figure S3. Western Blot analysis of total RH production during the fed-batch bioreactor fermentation, Figure S4. Soluble and insoluble fractions of RH with Western blotting analysis.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Fan, Q., Waldburger, S., Neubauer, P. et al. Implementation of a high cell density fed-batch for heterologous production of active [NiFe]-hydrogenase in Escherichia coli bioreactor cultivations. Microb Cell Fact 21, 193 (2022). https://doi.org/10.1186/s12934-022-01919-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12934-022-01919-w

Keywords