Escherichia coli avoids high dissolved oxygen stress by activation of SoxRS and manganese-superoxide dismutase
© Baez and Shiloach; licensee BioMed Central Ltd. 2013
Received: 20 November 2012
Accepted: 21 February 2013
Published: 12 March 2013
High concentrations of reactive oxygen species (ROS) were reported to cause oxidative stress to E. coli cells associated with reduced or inhibited growth. The high ROS concentrations described in these reports were generated by exposing the bacteria to H2O2 and superoxide-generating chemicals which are non-physiological growth conditions. However, the effect of molecular oxygen on oxidative stress response has not been evaluated. Since the use of oxygen-enriched air is a common strategy to support high density growth of E. coli, it was important to investigate the effect of high dissolved oxygen concentrations on the physiology and growth of E. coli and the way it responds to oxidative stress.
To determine the effect of elevated oxygen concentrations on the growth characteristics, specific gene expression and enzyme activity in E. coli, the parental and SOD-deficient strain were evaluated when the dissolved oxygen (dO2) level was increased from 30% to 300%. No significant differences in the growth parameters were observed in the parental strain except for a temporary decrease of the respiration and acetate accumulation profile. By performing transcriptional analysis, it was determined that the parental strain responded to the oxidative stress by activating the SoxRS regulon. However, following the dO2 switch, the SOD-deficient strain activated both the SoxRS and OxyR regulons but it was unable to resume its initial growth rate.
The transcriptional analysis and enzyme activity results indicated that when E. coli is exposed to dO2 shift, the superoxide stress regulator SoxRS is activated and causes the stimulation of the superoxide dismutase system. This enables the E. coli to protect itself from the poisoning effects of oxygen. The OxyR protecting system was not activated, indicating that H2O2 did not increase to stressing levels.
KeywordsOxidative stress ROS SoxS Catalase activity SOD activity
High density growth of E. coli is the preferred method for maximizing volumetric production yield of bacterial biomass and recombinant protein production [1, 2]. Due to the high oxygen demand of such cultures, an efficient way to maintain aerobic growth conditions is to increase the oxygen concentration in the air supply by mixing the sparging air with pure oxygen [3–5]. In most cases, the oxygen concentration in the air inlet is increased from 20% to 68%  and in some cases as high as 100%. Previous research reported that oxidative stress created by exposing E. coli to H2O2 and superoxide-generating chemicals was found to be detrimental to the bacterial growth [7–12]. However, the effects of high concentration of molecular oxygen on the bacterial physiological and molecular response either in shake flask growth or at high density growth conditions in bioreactors are unknown.
During its biological reduction to water through respiration, molecular oxygen is generating reactive oxygen species (ROS) such as superoxide anion (O2‒), hydrogen peroxide (H2O2), and hydroxyl radicals (HO*) [13–15]. High levels of ROS are known to be stress conditions for E. coli causing irreversible damage to cellular components [15, 16]. To prevent this, E. coli is equipped with a defense mechanism regulated by the SoxRS and OxyR regulons [7, 15, 17, 18]. At normal growth conditions, SoxR is produced in an inactivated (reduced) form, but when exposed to superoxide or redox-cycling drugs, SoxR is activated together with simultaneous activation of the the soxS gene [8, 9, 19]. The SoxS protein is a secondary transcription factor that activates the expression of the following genes: sodA, acnA, fumC, micF, and zwf, replacing sensitive enzymes such as aconitase B and fumarases A and B with the oxygen resistant isozymes aconitase A and fumarase C [20–23]. The OxyR regulon is mainly activated by H2O2, enhancing the transcription of a set of genes that increase hydrogen peroxide resistance. These include the katG, ahpCF, gor, grxA, trxC and OxyS genes [7, 10, 15].
The purpose of this work was to evaluate the effect of elevated oxygen concentration on the growth characteristics, enzyme activities, and expression of genes related to the SoxRS and OxyR regulons in E. coli growing in bioreactors. The findings explain the bacterial defense mechanism to high molecular oxygen concentrations in bioreactors.
Effect of 300% oxygen saturation on growth, respiration and acetate production of E. coli MG1655
Batch growth parameter of E. coli MG1655 at dO2 of 30% and 300%
Culture exposed to 300% dO2
Reference culture (30% dO2)
Specific growth rate, μ,(h-1)
0.684 ± 0.105
0.717 ± 0.038
Glucose uptake rate, qs, (g/g.h)
1.34 ± 0.213
1.45 ± 0.059
Biomass yield, Yx/s, (g/g)
0.515 ± 0.082
0.496 ± 0.037
Acetate yield, YA/s, (g/g)
0.139 ± 0.005
0.136 ± 0.010
Maximum acetate conc. (g/L)
1.41 ± 0.098
1.40 ± 0.100
Continuous culture growth parameters of E. coli MG1655 before and after oxygen switch from 30%dO2 to 300% dO2
Prior to O2switch
qO2, (mmol/g h)
qacetate, (mmol/g h)
qs, (mmol/g h)
Effect of 300% oxygen saturation on superoxide dismutase and catalase activity in E. coli MG1655
Effect of high oxygen saturation on gene transcription in the SoxRS and OxyR regulons in E. coli MG1655
Effect of high oxygen saturation on specific growth rate and gene transcription in the E. coli AB1157 and the double mutant strain sodA―sodB―
Effects of dissolved oxygen on intracellular ROS concentration in E . coli
DFC production relative to 30% dO2condition
Deficient strain (sodA- sodB-)
0.45 ± 0.042
1.00 ± 0.029
1.00 ± 0.018
1.22 ± 0.041
1.22 ± 0.048
2 mM H2O2
2.71 ± 0.138
2.59 ± 0.050
It has been reported that exposing E. coli to reactive oxygen species (ROS), generated by chemical compounds such as H2O2 and paraquat, causes damage to the growing cells by reducing DNA stability and modifying proteins and lipids [15, 16, 24]. Since efficient growth of E. coli for production of recombinant proteins is based on growing the bacteria to high density by supplying air mixed with pure oxygen [3–5], it was essential to investigate the effect of high dissolved oxygen concentrations on bacterial growth.
The dissolved oxygen concentration is usually kept at 30% dO2. In this reported work, the effect of higher dissolved oxygen concentrations on the bacterial growth and gene expression was evaluated. The data shows that 300% dO2 did not affect the growth rate of the bacteria as a result of the activation of the manganese-superoxide dismutase (Mn-SOD), which is part of the activated SoxRS regulon. But high dO2 had small and short time effect on the respiration, the acetate accumulation, SOD activity and soxS expression suggesting sub-lethal damage to the E. coli culture.
A possible trigger for the activation of soxS expression is the high intracellular levels of O2 that stimulate SoxR oxidation by abstracting electrons from flavoenzymes and promoting the increased level of reactive oxygen species . The increased ROS concentration decreased the NADPH/NADP+ ratio, which was suggested to be the signal for SoxRS activation [19, 25, 26]. It is also possible that hyperbaric oxygen (4.2 atm of pO2) blocks the synthesis and decreases intracellular concentrations of NAD and NADP [21, 27, 28].
Hyperbaric oxygen destroys the [4Fe-4S] cluster in dihydroxyacid dehydratase (DHAD), and inactivates the enzyme . Inactivated DHAD limits the biosynthesis of branched-chain amino acids and triggers stringent response [30, 31]. In minimal medium without supplementation of amino acids, the inactivation of DHAD causes growth inhibition . It is therefore likely that the oxidative stress generated in our study did not affect the DHAD activity since there was no significant change in the bacterial growth even when defined medium without supplementation of branched-chain amino acids was used. Hyperbaric oxygen also inactivates fumarase A and B, both containing the catalytically active 4Fe-4S cluster , but in our study the activity of these oxidant-sensitive enzymes was not impaired by the dO2 shift since the oxidant-resistant isozyme fumarase C was not activated. These results could be explained by the protecting effects of superoxide dismutases on DHAD and fumarases [29, 30] and is in agreement with the up-regulation of sodA and increased SOD activity. The same protecting effect of Mn-SOD on aconitase stability has been observed during exposure to hyperoxia  which could explain why the expression of the superoxide-resistant aconitase A was not required.
Unlike the parental strain AB1157, the sodA‒sodB‒ strain requires the expression of the oxidant-resistant dehydratases, (aconitase A and fumarase C) probably as the result of the inactivation of aconitase B and fumarase A and B by the presence of O2‒[29, 30]. In our study the possible increased level of O2‒ inside the deficient strain sodA‒sodB‒ activated also the OxyR-controlled genes, likely due to the production of extremely potent oxidants derived from ferric complexes and nitric oxide as a result of the missing SOD . This assumption is supported by the fact that superoxide can reduce a variety of ferric complexes and increase the availability of Fe+2 which catalyzes Fenton and Haber-Weiss reactions [16, 32]. The parental and the double mutant sodA‒sodB‒ strains did not show any difference in intracellular ROS accumulation. This is likely the result of the inability of the fluorimetric assay to detect differences in ROS concentrations in the range of 0.1 nM  which is calculated to be the physiological concentration of superoxide . However, the damage caused by this small change of superoxide in the SOD-deficient strain significantly affects its genes expression and growth.
Based on the presented work, we determined that E. coli can successfully prevent the toxic effects of high oxygen saturation through the activation of SoxRS and the over-expression of manganese-superoxide dismutase in response to increased concentration of intracellular ROS. The use of molecular oxygen in growing E. coli does not affect growth properties but because of the possible sub-lethal effects, its potential effects on quality of recombinant protein production and culture stability should be considered.
Increasing dissolved oxygen concentration during E. coli growth stimulates an increase in intracellular ROS concentration that activates the SoxRS regulon. The activation of the regulon is associated with over expression of manganese-superoxide dismutase that scavenges the O2- and prevents irreversible damage to the growing cells. SoxRS and SOD are identified as the main defense mechanism that protects the bacteria from the toxic effects of high oxygen saturation.
Bacterial strains, inoculum preparation, and culture media
Escherichia coli MG1655 (F-, λ, ilvG-, rfb-50, rph-1) was grown in batch and continuous bioreactor cultivations in the following medium: KH2PO4, 12.5 g/L; (NH4)2HPO4, 5 g/L; citric acid, 1.0 g/L. The pH of the medium was adjusted to 7.0 with 5 M NaOH prior to sterilization, after sterilization the media was aseptically supplemented with 1 mL/L trace metal solution , 5 mM MgSO4, 4.5 mg/L thiamine-HCl, and 8 g/L glucose. E. coli strains AB1157 (Parental), PN134 (sodA sodB deficient) provide by Dr. James A. Imlay  were grown in modified LB medium containing 10 g/L tryptone, 5 g/L yeast extract, 5 g/L NaCl, and 5 g/L K2HPO4, and supplemented with 1 mL/L of trace metal solution, 5 mM MgSO4, 4 g/L of glucose and appropriate antibiotic after sterilization. Inoculums were prepared by growing the cultures at 37°C in 100 mL of defined or complex medium.
Batch growth was performed in a 5 L B. Braun bioreactor equipped with data acquisition and adaptive dissolved oxygen control system. Temperature was maintained at 37°C and was maintained at pH 7.0 by the addition of 3 M NaOH. Bioreactor was inoculated at OD600 of 0.1 and the dissolved oxygen (dO2) was measured with polarographic oxygen electrode (Mettler Toledo, Columbus, OH) and maintained at 30% air saturation. When the cell growth reached an OD600 of 1 the dO2 was increased to 300% air saturation by mixing the air supply with pure oxygen and was maintained at this value by increasing agitation and gas flow rate. A dO2 of 300% air was chosen since it is equivalent to 63% of O2 in the inlet gas. Such oxygen concentration in the gas supply can be easily reached in a typical bench scale fed-batch culture .
The dissolved oxygen sensor used (InPro 6800 Mettler Toledo) was calibrated with nitrogen at zero and with pure O2 at 100%. After calibration and before inoculation, air was bubbled into the medium to verify that the dO2 was 21%. To maintain the culture at 30% air saturation, a set-point of 6% was set up and oxygen shift was made by changing the set-point to 63%. The concentrations of O2 and CO2 in the inlet and outlet of the bioreactor were analyzed by mass spectrometry gas analyzer (Perkin Elmer MGA 1200). The analyzer performance was verified by pumping gas mixtures containing 21%, 63% and 100% O2, the values measured by gas analyzer were 21.4%, 63.6% and 98.5% respectively. In addition the CO2 measurement was verified with 5% CO2. During the experiments at 300% DOT, oxygen concentration in the off gas varied from 62 to 64% and CO2 concentration did not exceed 3.4%. Samples for RNA analysis were collected at 0, 5, 10, and 40 minutes after the increase of the dO2 and processed immediately, media samples were collected at regular intervals and centrifuged at 10000 × g for 5 min and the supernatant was kept at -20°C for further analysis. The cell pellet was washed twice in 50 mM sodium phosphate buffer pH 7.4 and kept at -20°C for enzyme assays. The continuous culture was carried out at a dilution rate of 0.5 h-1 at the same growth conditions. After five residence times when steady state was confirmed the culture was perturbed by increasing the dO2 from 30% to 300% air saturation, samples for enzyme assays were taken 5, 15, 25 and 74 min after oxygen shift.
Cell growth was followed by measuring the OD at 600 nm (Ultrospec 3000 UV/Visible spectrophotometer, Pharmacia Biotec); measurements were converted to dry cell weight by using a calibration curve of dried samples. Glucose concentration was determined by YSI 2700 Biochemistry Analyzer (YSI Instruments, Yellow Springs, OH). Organic acids were analyzed by high-performance liquid chromatography (Hewlett Packard/Agilent 1100 Series, Santa Clara, CA) with an Aminex HPX-87H column (Bio-Rad Laboratories, Hercules, CA) at 35°C using mobile phase of 5 mM H2SO4 at 0.6 ml/min.
For real-time RT-qPCR determinations, fermentation samples were immediately poured on an ice-cooled tube containing RNAlater solution (Ambion Inc. Austin, TX). Total RNA extraction was performed using mirVana miRNA isolation kit (Ambion Inc. Austin, TX). Total RNA concentration was estimated by measuring optical density at 260 nm using NanoDrop 2000/2000c spectrophotometer (Thermo Fisher Scientific, Wilmington, DE) and integrity was visualized on a 2% agarose gels. To reduce genomic DNA contamination, isolated RNA was treated with turbo DNase kit (Ambion Inc. Austin, TX). cDNA was generated by using 2 μg RNA in a total volume of 20 μl with 250 nM of specific DNA primers (antisense primers in Additional file 1: Table S1) according to the protocol of Maxima First Strand cDNA Synthesis kit (Thermo Fisher Scientific, Waltham, MA). Real-time qPCR was performed using an ABI Prism 7900H Sequence Detection System (Applied Biosystems, Foster City, CA) with 40 amplification cycles using SYBR Green PCR Master Mix as signal reporter. Each reaction composed of 6 ng cDNA, 400 nM sense and antisense primers in a total volume of 20 μl. RT-qPCR was done in a 96-well microtiter PCR plates using the following amplification conditions: 1 cycle 10 min at 95°C; and 40 two-step cycle at 95°C for 15 seconds and 60°C for 60 seconds. Each sample was done in triplicate. To assess for reagent and genomic DNA contamination, no template and no reverse transcriptase controls were included. Data were analyzed using 2-ΔΔCT method described by Livak and Schmittgen . The expression of the ssrA gene was used as an endogenous control to normalize the amount of mRNA obtained from a target gene . Expression data obtained for each time-point were normalized to the expression of each gene obtained at time zero of the oxygen switch.
Cell-free extracts and enzymes assays
Frozen cells were suspended in 300 μl of 50 mM sodium phosphate buffer (pH 7.4 at 4°C) and disrupted by sonication in series 4 × 15 seconds in a cold bath. The extract was centrifuged at 10,000 × g at 4°C for 15 min and the supernatant was immediately used for enzyme assays. Protein concentrations were determined by using the method of Bradford. Catalase activity was assayed spectrophotometrically by measuring the decrease in A240 nm of 4 mM H2O2 in 50 mM phosphate buffer pH 7.4 . Superoxide dismutase activity was determined using the Sigma SOD assay kit-WST (Sigma-Aldrich, Switzerland) following the manufacturer’s instructions.
Measurement of intracellular level of ROS
OxiSelect Intracellular ROS assay kit (Cell Biolabs, Inc. San Diego, CA) was used according to the manufacturer’s instructions with minor modifications. AB1157 and PN134 strains growing in exponential phase were washed and incubated with 2’, 7’-dichlorodihydrofluorescin diacetate for 60 min at 37°C and washed three times with PBS buffer. The 2’,7’-dichlorofluorescein diacetate-loaded cells were re-suspended in 2 ml LB media and then exposed to 2 mM of H2O2 or bubbling with a gas mix corresponding to 0%, 30%, and 300% dO2 air saturation for 20 min. The treated cells were lysed and the amount of intracellular ROS was estimated from dichlorodihydrofluorescein (DCF) production measured at 480-nm excitation/530-nm emission by a SpectraMax Gemini XS Fluorometer plate reader (Molecular Devices, Sunnyvale, CA).
Funding was provided by the intramural program of the National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health. The authors would like to thank James Imlay (University of Illinois) for providing the AB1157 and PN134 strains, N. Majdalani (NCI, NIH) for the scientific advice and Mrs. D. Livnat for critical editorial assistance.
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