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Applied and Environmental Microbiology logoLink to Applied and Environmental Microbiology
. 2015 Nov 13;81(24):8379–8391. doi: 10.1128/AEM.02491-15

Metabolic Response of Clostridium ljungdahlii to Oxygen Exposure

Jason M Whitham a, Oscar Tirado-Acevedo a,*, Mari S Chinn b, Joel J Pawlak c, Amy M Grunden a,
Editor: R E Parales
PMCID: PMC4644658  PMID: 26431975

Abstract

Clostridium ljungdahlii is an important synthesis gas-fermenting bacterium used in the biofuels industry, and a preliminary investigation showed that it has some tolerance to oxygen when cultured in rich mixotrophic medium. Batch cultures not only continue to grow and consume H2, CO, and fructose after 8% O2 exposure, but fermentation product analysis revealed an increase in ethanol concentration and decreased acetate concentration compared to non-oxygen-exposed cultures. In this study, the mechanisms for higher ethanol production and oxygen/reactive oxygen species (ROS) detoxification were identified using a combination of fermentation, transcriptome sequencing (RNA-seq) differential expression, and enzyme activity analyses. The results indicate that the higher ethanol and lower acetate concentrations were due to the carboxylic acid reductase activity of a more highly expressed predicted aldehyde oxidoreductase (CLJU_c24130) and that C. ljungdahlii's primary defense upon oxygen exposure is a predicted rubrerythrin (CLJU_c39340). The metabolic responses of higher ethanol production and oxygen/ROS detoxification were found to be linked by cofactor management and substrate and energy metabolism. This study contributes new insights into the physiology and metabolism of C. ljungdahlii and provides new genetic targets to generate C. ljungdahlii strains that produce more ethanol and are more tolerant to syngas contaminants.

INTRODUCTION

Clostridium ljungdahlii is an anaerobic, motile, endospore-forming, Gram-positive, rod-shaped, acetogenic bacterium isolated from chicken yard waste and has application as a biocatalyst to transform syngas components (CO, CO2, and H2) into more valuable chemicals (14). It was the first bacterium discovered to metabolize these syngas components and to produce ethanol with acetate as its primary fermentation product (1, 4). To reduce the amount of acetate and increase the amount of ethanol produced by C. ljungdahlii for its use in industrial solvent production, different reactor designs and agitation parameters, varied syngas component concentrations, increased gas flow rates and pressures, reduced nitrogen sources, addition of reducing agents to media, adjustment of growth medium pH, and addition of nanoparticles have all been evaluated (1, 515). Some of these efforts have reportedly improved ethanol/acetate product ratios from 1:20 to 2:1 in batch cultures and from 1:1 to 21:1 for cultures grown in continuously stirred reactors (8, 9, 16). More recent sequencing and genetic modification techniques have greatly enhanced our understanding of C. ljungdahlii's metabolism and increased production of ethanol as well as enabled production of other chemicals (e.g., acetone, butyrate, and butanol) (2, 3, 1721).

Despite these advancements, for C. ljungdahlii to be effectively used for industrial syngas transformation, some of its catalytic limitations related to gaseous headspace composition still require evaluation. Although steel mill waste gas was recently used as the sole carbon and energy source in a C. ljungdahlii fermentation, artificial syngas is commonly used in research experiments to limit the variability of results (18). Artificial syngas does not typically contain contaminants common to industrial syngas streams, such as oxygen (O2), sulfurous species (COS, SO2, and H2S), nitrogenous species (such as HCN, NH3, and nitrogen oxide [NOx]), methane (CH4), and tars (22, 23). Several studies have been performed to evaluate the effect of these syngas contaminants on Clostridium spp.; however, inhibitory compounds in syngas have slowed the progress of companies moving into the commercial phase of syngas-based fermentation product development (2426; http://www.biofuelsdigest.com/bdigest/2014/09/05/on-the-mend-why-ineos-bio-isnt-reporting-much-ethanol-production/).

Researchers have observed that H2S concentrations up to 2.7% do not significantly affect substrate (H2 and CO) uptake by C. ljungdahlii, and growth is maintained with concentrations as high as 5.2% (7, 9). In a related bacterium, Clostridium carboxidivorans P7T, concentrations of NOx above 0.0040% in syngas were found to inhibit growth and noncompetitively inhibit hydrogenase activity (27, 28). Although NOx inhibition resulted in higher ethanol production by C. carboxidivorans P7T, hydrogenase activity was inhibited, reducing available carbon for product formation since electrons came from CO rather than H2 (27, 28). NH3 is a nitrogen source for syngas-fermenting bacteria, but in high concentrations from a continuous syngas feed, it can inhibit cell growth and decrease acetate-to-ethanol conversion of related bacterium Clostridium ragsdalei (P11) (23). In chemostat experiments with C. carboxidivorans P7T, tars were shown to promote cell dormancy but increase ethanol/acetate production ratios (29). With C. ragsdalei (P11), up to 5% CH4 in syngas did not affect product formation or cell growth (30). Oxygen is also a common contaminant of syngas that can have a significant impact on microbially catalyzed syngas fermentation; however, an understanding of how the clostridial catalysts manage oxygen and reactive oxygen species (ROS) has not been well examined to date (22).

Several enzymes of the Wood-Ljungdahl pathway, including hydrogenase and carbon monoxide dehydrogenase (CODH), responsible for syngas metabolism are sensitive to oxygen (3143). Pyruvate:ferredoxin oxidoreductase (PFOR), pyruvate formate lyase (PFL), and its activating enzyme (enzymes involved in sugar metabolism) are also oxygen labile in a variety of microbes (4450). Therefore, acetogens in general, which possess some or all of these oxygen-labile enzymes, have traditionally been classified as strict anaerobes; nevertheless, they have been isolated from different aerobic or microaerobic environments (5153). It has been demonstrated that many of these acetogens are equipped with an assortment of oxidative stress enzymes, and some can even reduce oxygen by other mechanisms (e.g., superoxide reductase and peroxidase) (5460). In addition to tolerating various amounts of oxygen, it has been suggested that exposing acetogens to microaerobic conditions triggers a shift in electron flow toward more reduced products, such as ethanol, lactate, H2, and/or NH4+ production instead of acetate formation (51, 59, 61). C. ljungdahlii was previously shown to grow well and coferment fructose and artificial syngas in a complex medium (5, 6, 62). Upon exposure to low concentrations of oxygen (<10%) in the headspace of batch cultures at early log phase, C. ljungdahlii continued to grow and coferment fructose and artificial synthesis gas components while showing an increase in ethanol/acetate ratios (63). These initial experiments suggested C. ljungdahlii had the mechanisms to handle oxygen contaminants and positively affect solvent production, but the response was not fully elucidated. Therefore, the objectives of this study were to characterize C. ljungdahlii's transcriptional, metabolic, and physiological responses to oxygen exposure when grown in rich mixotrophic medium, with a particular focus on the effect oxygen has on ethanol and acetate formation.

MATERIALS AND METHODS

Media and growth conditions.

C. ljungdahlii (ATCC 55383) was obtained from the American Type Culture Collection and was cultured in modified reinforced clostridial medium (mRCM) supplemented with 5 g/liter fructose (mRCMf) (5, 6). The artificial syngas composition (20% CO, 20% CO2, and 10% H2 with N2 balance) that was injected into the headspace (110 ml) of batch cultures was selected based on the approximate theoretical composition of a gas stream from biomass gasification with air as the fumigator.

The medium was prepared and dispensed into 160-ml serum bottles (final volume including reducing agents and inoculum of 50 ml/bottle). Reducing agents (2.5% [wt/vol] cysteine-HCl and 2.5% [wt/vol] sodium sulfide) were added to better ensure anaerobicity of growth media. However, in some experiments, reducing agents were omitted in an effort to observe their effect on oxygen removal, protein production (as observed on SDS-PAGE gel), and benzyl viologen reduction by C. ljungdahlii cell-free cell extract. Bottles were capped with butyl rubber stoppers (Bellco, Vineland, NJ) and aluminum seals, connected to a vacuum manifold using a needle and a 0.22-μm-pore filter, and made anaerobic by cycling three times (30-s cycles) between (i) vacuum headspace evacuation and (ii) sparging with artificial syngas filtered through heated copper pellets. The bottles were then autoclaved for 30 min (121°C, 15 lb/in2 gauge [psig]). After the bottles cooled to room temperature, excess pressure was released from the bottles by inserting a needle connected to a 0.22-μm-pore filter and a hose with its end immersed in a water trap to achieve a condition of atmospheric pressure. Culture bottles were initially inoculated with an aliquot from freezer stocks (10% [vol/vol]) and incubated with shaking at 100 rpm at 37°C. After 24 h, culture aliquots (5% [vol/vol]) were transferred to fresh medium and incubated (100 rpm, 37°C). After 12 h of growth, experiments were initiated with a second transfer of actively growing cells (5% [vol/vol]) into fresh medium and incubated (100 rpm, 37°C). For the oxygen exposure experiments, after 12 h of culture incubation, 8% (by headspace volume) O2 was injected by syringe.

Gas and liquid product analysis.

Liquid samples for ethanol and acetate were taken at the 12-, 14-, 24-, 36-, 48-, and 72-h time points from the C. ljungdahlii cultures and stored (−20°C) prior to analysis. Gas samples for CO, H2, and CO2 and liquid samples for fructose were taken at 0, 24, 36, 42, 54, and 66 h. Fructose samples were also stored (−20°C) prior to analysis, but gas was analyzed within 1 h of sampling. Gas and liquid product analysis results are reported as an average of six replicates completed as triplicates of two biological repeats.

Liquid samples (500 μl) for ethanol and acetate analysis were prepared by adding 125 μl 25% m-phosphoric acid and centrifuging the mixture at 14,000 × g for 10 min at room temperature. The sample supernatants were analyzed by gas chromatography using an Agilent 7890A gas chromatograph containing a 0.25-μm J & W DB-FFAP column (30 m by 0.32 mm inside diameter [i.d.]) and a flame ionization detector. Argon was used as the carrier gas at a flow rate of 30 ml/min. The injector and detector temperatures were 250°C, and the oven temperature was 160°C.

Headspace gas samples were collected using a 5 ml gas-tight syringe with sample lock (SGE, Ringwood, Australia). The samples were analyzed by gas chromatography using an Agilent 7890A gas chromatograph containing a 13823 molsieve 5-Å zeolite molecular sieve packed stainless steel column (6 ft by 1/8 in. i.d. [Supelco]) and a thermal conductivity detector. Argon was used as the carrier gas at a flow rate of 30 ml/min. The injector and detector temperatures were 150°C and 250°C, respectively, and the oven temperature was 160°C.

The amount of fructose present in the culture medium was determined by high-performance liquid chromatography. Liquid samples (600 μl) were centrifuged (10 min, 14,000 × g, room temperature). Supernatant was filtered through a 0.22-μm-pore syringe filter and analyzed using a Shimadzu LC20 liquid chromatograph with a HPX-87H column (65°C) and refractive index detector. Sulfuric acid (5 mM) was used as the eluent at a rate of 0.6 ml/min.

Dissolved oxygen (DO) and dissolved CO2 species (including bicarbonate in the liquid phase) were also quantified during batch culture fermentations. DO in the cultures exposed to 0 and 8% O2 was measured with a NeoFox system (Ocean Optics, Dunedin, FL) as per the manufacturer's instructions at 14, 30, and 36 h to determine if oxygen in the medium was being reduced over time. To take the measurements, bottles were opened in a fume hood, the NeoFox probe was immediately lowered to the bottom of the bottles, and readings were recorded once they stabilized (less than 1 min). The DO was also measured in uninoculated bottles containing media with and without reducing agents to measure the amount of abiotic oxygen reduction; uninoculated medium was exposed to either 0 or 8% O2. Total carbon dioxide in the medium was measured using a Bioprofile 400 analyzer (Nova Biomedical, Waltham, MA) per the manufacturer's instructions. Total CO2 (tCO2) was calculated using the equation tCO2 = [HCO3] + α × pCO2, where the solubility coefficient of CO2 (α) is estimated to be 0.0307.

mRNA isolation, cDNA library preparation, and sequencing.

C. ljungdahlii was grown as described above in mRCMf with a syngas headspace and exposed to 0 or 8% O2. Three culture bottles per experimental condition (0 and 8% O2 exposed) were transferred into the anaerobic chamber at 14 h (2 h after oxygen exposure [early response]) and 36 h (12 h after oxygen exposure [late response]) time points (12 samples total). Serum bottles were opened, and 0.5 ml of culture was added to 1 ml of Qiagen RNA Protect bacterial reagent (Qiagen, Venlo, Limburg, Netherlands). These samples were centrifuged (10 min, 21,460 × g, 4°C), the supernatant was removed, and pellets were stored at −65°C. Batch cultures used for RNA sequencing were not sampled for fermentation analysis to save as much culture for total RNA isolation as possible. To ensure that the liquid fermentation products for the cultures used for RNA sequencing were similar to the other fermentations in this study, liquid analysis (as described above) was performed on other cultures that were simultaneously inoculated.

The Qiagen RNeasy minikit (Qiagen, Venlo, Limburg, Netherlands) with on-column RNase-free DNase (Qiagen, Venlo, Limburg, Netherlands) treatment was used in conjunction with the enzymatic lysis and proteinase K treatment (New England BioLabs, Ipswich, MA) per the supplier's protocol to isolate total RNA. RNA quality was checked by gel electrophoresis. The Epicentre ScriptSeq Complete kit (Bacteria) (Illumina, San Diego, CA) was used to isolate the mRNA as well as synthesize and amplify the cDNA with a different index for each sample (12 total). The Qiagen RNeasy MinElute kit (Qiagen, Venlo, Limburg, Netherlands) was used to purify the mRNA. mRNA and cDNA were analyzed for quality and concentration using an Agilent 2500 Bioanalyzer on an Agilent RNA 6000 Pico chip and DNA high-sensitivity chip, respectively, at the North Carolina State Genomic Sciences Lab (Raleigh, NC). Indexed cDNA was pooled and subjected to bioanalysis prior to sequencing at the BGI and Children's Hospital of Philadelphia collaborative genome facility using the 100-bp single-read protocol for one lane on the Illumina HiSeq2000. Base quality calls and demultiplexing were performed with the CASAVA 1.8.2 pipeline (Illumina, San Diego, CA).

Differential expression analysis.

Differential analysis was performed with DEGseq as described by Tan et al., with the exception of raw reads being counted with eXpress prior to importing into DEGseq (64, 65). Unless otherwise stated, genes mentioned in this paper were significantly differentially expressed based on a false discovery rate (FDR) (66) of ≤0.001 and a normalized log2 fold change of ≥2 or ≤−2. Tablet software was used to visualize differentially regulated gene clusters (67, 68).

Nucleotide sequence alignment and database search.

Reannotation of differentially expressed genes was performed with the blastx program (National Centre of Biotechnology Information [http://www.ncbi.nlm.nih.gov/BLAST]) using the default parameters. Multiple sequence alignments were performed with Vector NTI using the standard parameters (69).

Enzyme assays.

As with cultures for transcriptome sequencing (RNA-seq) analysis, C. ljungdahlii cultures for enzyme assays were treated with either 0 or 8% O2 at 12 h, and samples for assays were taken at 14 h and 36 h for early and late responses to oxygen exposure. At these time points, cultures were transferred to an anaerobic chamber and dispensed into centrifuge bottles (six 50-ml cultures per bottle). The bottles were sealed and centrifuged (25 min, 11,000 × g, 4°C). The cell pellets were washed with 40 ml anaerobic potassium phosphate buffer (50 mM, pH 7.0) and centrifuged as described above. Cell pellets were resuspended in 3 ml of anaerobic potassium phosphate buffer (50 mM, pH 7.0) per g of wet cell pellet. Five hundred microliters of the cell suspension was transferred to 2-ml screw-cap tubes. The cell suspensions were either processed immediately for assays or stored at −65°C.

For cell suspension processing, 500 μl of 0.1-mm-diameter disruption glass beads (RPI, Mt. Prospect, IL) was added to the tubes. Samples were vortexed horizontally (10 min, maximum speed) using a MoBio vortex adapter 13000-V1 for Vortex-Genie 2 (MoBio, Carlsbad, CA) and centrifuged (10 min, 21,000 × g, 4°C). Supernatants were collected and kept on ice for assays. All assays were carried out in a 2-ml total volume (once all reagents were added) at 25°C in anaerobic cuvettes, except peroxidase and oxidase, which had a total volume of 3 ml, and the superoxide dismutase (SOD) and xanthine oxidase assays, which were performed aerobically in 96-well plates. All enzyme assay results are reported as an average from six replicates.

NAD(P)H oxidase was assayed as described by Stanton and Jensen (70). For a negative control, the assay was performed in anaerobic cuvettes with anoxic buffer and headspace. Reactions were initiated by adding cell extract (10 to 100 μg protein). Catalase was assayed by measuring the disappearance of H2O2 at 240 nm (71). The catalase reactions were initiated by adding cell extract (10 to 100 μg protein). Peroxidase was assayed as described by Poole and Ellis, except that 200 μM NADH or NADPH (final concentration) was used (72). Superoxide dismutase (SOD) activity was determined using a commercially available water-soluble tetrazolium (WST) salt SOD assay kit (Dojindo Laboratories, Kumamoto, Japan) per the manufacturer's instructions (73). Superoxide dismutase from bovine erythrocytes (MP Biomedicals, Santa Ana, CA) was used as a positive control. Xanthine oxidase activity was assayed with the Amplex Red xanthine/xanthine oxidase assay kit (ThermoFisher Scientific, Waltham, MA) per the manufacturer's instructions. Xanthine was omitted from the reaction mixture as a negative control.

Alcohol dehydrogenase assay mixtures contained 1.5 ml 100 mM Tris-HCl (pH 8.5), 0.5 ml 2 M ethanol, and 1 ml of 0.025 M NAD+ or NADP+. Reactions were initiated by adding cell extract (10 to 100 μg protein), and the appearance of NADH or NADPH was measured at a wavelength of 340 nm. Acetaldehyde dehydrogenase assays were performed as described in reference 74. The reverse reaction of aldehyde oxidoreductase (AOR), carboxylic acid reduction (CAR), was performed as described in reference 75 to measure acetate reduction, except that the assay was performed at 25°C in 500 mM potassium phosphate (pH 6.0) and the electron donor was methyl viologen (140 μM), which was completely reduced by dithionite (150 μM). The forward reaction, acetaldehyde-dependent reduction of benzyl viologen (also known as acetaldehyde oxidase), was also measured. Sodium dithionite was not used for the forward reaction. Unreduced cultures were also used as a control to avoid reduction of benzyl viologen by the reducing agents rather than by the cell extracts.

For all assays, activities (units per milligram) are defined as micromoles of substrate [e.g., methyl viologen, benzyl viologen, NAD(P)+, or NAD(P)H] oxidized or reduced per minute. Methyl viologen oxidation and benzyl viologen reduction were quantified by measuring their absorbance at 600 nm and using a molar extinction coefficient of 12,000 M−1 cm−1 or 7,400 M−1 cm−1, respectively. NAD(P)H oxidation and NAD(P)+ reduction were quantified by measuring their absorbance at 340 nm and using a molar extinction coefficient of 6,220 M−1 cm−1.

Electrophoresis and protein identification by MALDI-TOF/TOF and Mascot analysis.

Sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) was performed on 12% acrylamide gels by the procedure developed by Laemmli (76). Fourteen- and 36-h cell-free cell extract samples from 0- and 8%-O2-exposed cultures, including cultures grown with reduced and unreduced media, were boiled for 10 min with loading dye and run on SDS-polyacrylamide gels for 45 min at 200 V. Protein bands were detected by staining the gel with Coomassie brilliant blue G-250. The gel was submitted to the UNC Michael Hooker Proteomics Center (University of North Carolina, Chapel Hill); the band of interest was excised, trypsin digested, and analyzed by matrix-assisted laser desorption ionization–tandem time of flight mass spectrometry (MALDI-TOF/TOF MS). Tandem MS (MS/MS) spectra were searched for proteins against the NCBI database for C. ljungdahlii DSM13528 (accession no. CP001666) using Mascot software (Matrix Science, Inc., Boston, MA).

Growth and cell protein quantification.

Growth was measured as optical density at 600 nm. Protein quantification in cell extracts was performed using Bio-Rad's protein assay dye reagent (Bio-Rad, Hercules, CA), according to the manufacturer's instructions.

To determine the relationship between optical density and dry cell density, 11 ml of culture was sampled from growing cells at various time points. One milliliter was used for readings of the optical density at 600 nm (OD600), while 10 ml of culture was filtered through a disposable preweighed and predried 0.22-μm-pore syringe filter. Flowthrough was discarded. The filter and cells were washed with 10 ml 50 mM phosphate buffer, pH 7.0. The filters were then incubated at 80°C in a dry air oven and were weighed every 24 h until constant weights were obtained. The optical densities were plotted against their corresponding dry cell weights, yielding a linear relationship between the measured OD600 and culture densities (milligrams of dry cells per liter). The relationship between optical density and dry cell weight was found to be 312 mg dry cells/liter per OD600 unit for C. ljungdahlii.

Nucleotide sequence accession number.

RNA sequencing data for each condition have been submitted to the NCBI Sequence Read Archive (http://www.ncbi.nlm.nih.gov/sra) under accession no. PRJNA296707.

RESULTS

Effects of oxygen on growth and fermentation product formation.

C. ljungdahlii was previously shown to be consistently resistant to concentrations of oxygen as high as 8% (volume added per volume of headspace) injected into the headspace of batch cultures with mixotrophic medium (63). This finding was confirmed in this study (Fig. 1A). Although cultures exposed to 8% O2 continued to grow, the rate of growth was reduced compared to that of anaerobic cultures (generation time of 5.8 h versus 4.6 h) (Fig. 1A). Similar to previous findings, more ethanol and less acetate were produced by cultures exposed to 8% O2 as well (1:2 versus 1:6 mol ethanol/mol acetate) (Fig. 1B and C) (63). Substrate utilization of CO, H2, and fructose continued in 8%-O2-exposed cultures but the rate was lower than in anaerobic cultures, and 8%-O2-exposed cultures consumed about 13% less hydrogen than anaerobic cultures (Fig. 2A). By 36 h (24 h after oxygen exposure), the amounts of CO, H2, and fructose consumed per liter of culture for oxygen-exposed cells were 7%, 19%, and 25% lower than those in the anaerobic cultures, respectively.

FIG 1.

FIG 1

C. ljungdahlii cell growth (A) and ethanol (B) and acetate (C) production when cultures are exposed to 0 (circles) and 8% (squares) O2. One-hundred-sixty-milliliter batch reactors have a 110-ml headspace volume. Eight percent O2 was added to the headspace at 12 h (arrows). The data represent an average from three biological replicates per condition. Error bars indicate standard deviations.

FIG 2.

FIG 2

C. ljungdahlii CO (squares), H2 (circles), and fructose (triangles) utilization in response to 0% O2 (anaerobically grown [solid symbols]) and 8% O2 (open symbols) supplementation of the headspace gas. The data represent an average from six biological replicates per condition (A). Total CO2 concentration (grams per liter) in 14-h 0%-O2-exposed, 14-h 8%-O2-exposed, 36-h 0%-O2-exposed, and 36-h 8%-O2-exposed C. ljungdahlii batch cultures. tCO2 = pCO2 headspace + [HCO3] + α × pCO2 medium, where α (estimated solubility coefficient) = 1.3511 mg/liter/mm Hg. Uninoculated bottles were used as controls. The data represent an average from three biological replicates per condition (B). Concentration of dissolved oxygen (parts per million) at the bottom of 8%-O2-exposed C. ljungdahlii batch cultures. Zero-percent-O2-exposed cultures were used as blanks, and uninoculated bottles were used as controls. Reducing agents (Cys-HCl and Na2S) were omitted in unreduced medium. The data represent an average of three biological replicates per condition (C). Eight percent O2 was added to the headspace at 12 h (arrow). One-hundred-sixty-milliliter batch reactors have a 110-ml headspace volume. Error bars indicate standard deviations.

CO2 in both 8%-O2-exposed and anaerobic cultures increased above initial concentrations by 14 h and continued to increase throughout the fermentation to 72 h (Fig. 2B). However, there was a substantial difference in the amount of CO2 per liter of culture in 8%-O2-exposed batch cultures and anaerobic batch cultures: 0.577 g by 72 h (Fig. 2B).

Oxygen injected into the headspace was confirmed to be removed from the inoculated cultures completely by 36 h (Fig. 2C). The total amount of oxygen added to cultures and reduced by the cells was calculated to be ∼6.9 mmol/liter of culture (data not shown). However, based on dissolved oxygen (DO) concentrations of unreduced uninoculated and (reduced) uninoculated medium controls, a portion of this was reduced by cysteine-HCl and sodium sulfide (reducing agents) added to the medium (Fig. 2C). Reducing agents kept the amount of DO in the uninoculated medium close to 0 ppm for at least 2 h after oxygen was injected into the headspace (Fig. 2C). Sometime between 14 and 30 h, the reducing agents were used up, and the concentration of DO in the uninoculated medium increased to ∼2.4 ppm (Fig. 2C). The DO in the unreduced uninoculated medium also increased between the 14- and 30-h time points, indicating that it took longer than 2 h for the DO in the liquid and gas phases to reach equilibrium (Fig. 2C). In this study, reducing agents were added to the medium because ethanol production was higher than when they were excluded, but reducing agents are not required for continued growth of C. ljungdahlii in rich mixotrophic medium when exposed to 8% O2 (63). Based on a comparison of DO in uninoculated medium containing reducing agents and uninoculated medium without reducing agents, reducing agents removed at most 0.9 ppm (39%) of the oxygen by 36 h (Fig. 2C). This means at least 4.2 mmol/liter of oxygen was removed by the C. ljungdahlii cells (data not shown). At the same time, ∼13.1 mmol/liter (0.577 g/liter) less CO2 was reduced by 8%-O2-exposed cells.

Effects of oxygen on gene expression.

RNA sequencing was employed in an effort to identify genes responsible for the oxygen tolerance and higher ethanol/acetate ratio of batch cultures exposed to 8% O2. Samples for sequencing were taken at 14 h (2 h after oxygen exposure, early response) and 36 h (24 h after oxygen exposure, late response) for 8%-O2-exposed and anaerobic cultures. In total, 139,256,223 reads with an average length of 100 bp were generated (see Table S1 in the supplemental material), with each treatment condition representing greater than 28.9 million reads. Differential expression analysis was conducted using DEGseq as in a previous RNA-seq study with C. ljungdahlii (77). All 150 differentially expressed genes are displayed in Table S2 in the supplemental material. The expression profile of C. ljungdahlii genes known and predicted to be involved in ethanol and acetate production is presented in Table 1. Although AdhE1 (encoded by CLJU_c16510) was previously identified to be the primary ethanol dehydrogenase in C. ljungdahlii (3, 17), its gene was not differentially expressed at 14 or 36 h: neither were the genes for phosphotransacetylase (CLJU_c12770) or acetate kinase (CLJU_c12780). Genes for predicted acetaldehyde dehydrogenases (CLJU_c11960, CLJU_c39730, and CLJU_c39840), which may be involved in production or consumption of acetaldehyde, the precursor of ethanol, were also not differentially expressed. However, a predicted tungsten-containing aldehyde ferredoxin oxidoreductase (CLJU_c20210), one of two previously hypothesized to catalyze acetate reduction to acetaldehyde with reduced ferredoxin (2), was expressed significantly less by 8%-O2-exposed cells than by anaerobic cells at 14 h. The other predicted tungsten-containing aldehyde ferredoxin oxidoreductase (CLJU_c20110) was not differentially expressed at 14 or 36 h. The only differentially expressed genes that showed potential for explaining higher ethanol production were a predicted aldehyde oxidoreductase (CLJU_c24130) with homology to molybdenum-containing AORs and a putative xanthine dehydrogenase (CLJU_c23910) with 50% identity to CLJU_c24130 (see Table S3 in the supplemental material). Both were expressed significantly higher in 8%-O2-exposed cells than anaerobic cells at 36 h; however, expression of CLJU_c24130 was also higher (although not significantly), while expression of CLJU_c23910 was lower (although not significantly) in 8%-O2-exposed cells at 14 h, and the transcript count of CLJU_c24130 was about 9 times higher than CLJU_c23910 (Table 1). A predicted aldehyde oxidoreductase (CLJU_c24050) with 80% identity to CLJU_c24130 was not differentially expressed at 14 or 36 h (Table 1; see Table S3).

TABLE 1.

Expression profile of C. ljungdahlii genes known and predicted to be involved in ethanol and acetate production

Locus tag Gene product annotation Result ata:
14 h
36 h
Count
Log2 FC Count
Log2 FC
0% O2 8% O2 0% O2 8% O2
CLJU_c11960 Predicted acetaldehyde dehydrogenase 666 1,148 −0.355 32 60 −0.530
CLJU_c12770 Phosphotransacetylase 37,052 38,122 0.388 51,989 49,972 0.468
CLJU_c12780 Acetate kinase 45,467 43,101 0.506 45,696 48,908 0.313
CLJU_c16510 Bifunctional aldehyde/alcohol dehydrogenase (AdhE1) 136,600 184,497 −0.004 4,954 2,901 1.183
CLJU_c20110 Predicted tungsten-containing aldehyde ferredoxin oxidoreductase 64 52 0.708 549 645 0.181
CLJU_c20210 Predicted tungsten-containing aldehyde ferredoxin oxidoreductase 6,547 1,509 2.546 2,055 1,820 0.587
CLJU_c23910 Putative xanthine dehydrogenase, molybdopterin-binding subunit B 4,519 3,648 0.738 1,798 11,958 −2.327
CLJU_c24050 Predicted aldehyde oxidoreductase 56 93 −0.309 1,058 896 0.650
CLJU_c24130 Predicted aldehyde oxidoreductase 9,500 33,544 −1.391 9,697 102,536 −2.991
CLJU_c39730 Predicted acetaldehyde dehydrogenase 6 6 0.635 2 3 0.070
CLJU_c39840 Predicted acetaldehyde dehydrogenase 601 784 0.045 686 623 0.550
a

Comparisons of gene expression were made between anaerobic (0%-O2-exposed) and 8%-O2-exposed cells. A positive normalized log2 fold change (FC) value reflects higher expression by anaerobic cells, and a negative normalized log2 FC value reflects higher expression by 8%-O2-exposed cells. The threshold for comparison was set at a normalized log2 FC value of ±2.

The genes that are predicted to be specifically involved in oxygen or reactive oxygen species (ROS) detoxification are provided in Table 2 and include genes coding for two predicted rubrerythrins (CLJU_c28910 and CLJU_c39340). Rubrerythrin is a common name used for NAD(P)H hydrogen peroxidases found in clostridia and other anaerobic bacteria. The predicted rubrerythrin encoded by CLJU_c39340 has 80% identity to Clostridium acetobutylicum's highly active NAD(P)H hydrogen peroxidase, a “reverse rubrerythrin,” also called “rubperoxin” (encoded by homologs CA_C3597 and CA_C3598) (see Table S4 in the supplemental material) (7880). C. acetobutylicum's rubrerythrin is indirectly reduced by NAD(P)H (preferentially by NADH) through a NADH:rubredoxin oxidoreductase (NROR) and a rubredoxin (57). An alignment of all of the genes encoding differentially expressed rubrerythrin(-like) enzymes from C. ljungdahlii, CLJU_c09090 (differentially expressed gene of the FAD/NAD-dependent oxidoreductase subunit of the anaerobic-type CODH), and C. acetobutylicum NROR (CA_C2448) and rubredoxin (CA_C2778) showed less than 40% identity for all combinations (see Table S4).

TABLE 2.

Expression profile of genes differentially expressed by C. ljungdahlii predicted to be involved in oxygen and reactive oxygen species detoxification

Locus tag Gene product annotation Result ata:
14 h
36 h
Count
Log2 FC Count
Log2 FC
0% O2 8% O2 0% O2 8% O2
CLJU_c21940 Putative flavoprotein 10,478 204,461 −3.857 6,207 36,739 −2.154
CLJU_c28910 Predicted rubrerythrin 1,491 27,416 −3.771 885 16,893 −3.844
CLJU_c36090 Hemerythrin-related protein 2,353 59,405 −4.229 1,263 9,066 −2.433
CLJU_c39340 Predicted rubrerythrin 19,381 195,485 −2.905 39,167 159,979 −1.619
a

Comparisons of gene expression were made between anaerobic (0%-O2-exposed) and 8%-O2-exposed cells. A positive normalized log2 fold change (FC) value reflects higher expression by anaerobic cells, and a negative normalized log2 FC value reflects higher expression by 8%-O2-exposed cells. The threshold for comparison was set at a normalized log2 FC value of ±2.

A putative flavoprotein (CLJU_c21940) and a hemerythrin-related protein (CLJU_c36090) are also listed in Table 2. The CLJU_c21940 flavoprotein has 60% identity to a C. acetobutylicum flavoprotein (CA_C2449) that has demonstrated oxidase activity and is reduced by NROR (see Table S4 in the supplemental material) (57). Hemerythrins are proteins that carry oxygen and/or convert oxygen to hydrogen peroxide (81, 82). C. ljungdahlii also has an annotated superoxide dismutase (CLJU_c29780), but expression of the gene coding for it was low for both 8%-O2-exposed and anaerobically cultured cells (data not shown).

Besides genes directly involved in ethanol/acetate production and oxygen/ROS detoxification, several genes related to substrate, energy, and cofactor metabolism were identified as being differentially expressed (Table 3). These include genes encoding the anaerobic-type CODH complex (CLJU_c09090-110) which are thought to be responsible for CO oxidation to CO2 in C. ljungdahlii (83), the G-subunit of the RNF complex (CLJU_c11380), which is predicted be a flavin mononucleotide (FMN)-binding redox-active subunit responsible for reduction of NAD (2, 84), a glyceraldehyde 3-phosphate dehydrogenase (CLJU_c13400), which is a glycolysis enzyme, a hydrogenase expression/formation protein (CLJU_c23080) predicted to be involved in nickel insertion (2), the CODH of the Wood-Ljungdahl Pathway gene cluster (CLJU_c37670), which is predicted to bind CO for acetyl-CoA synthesis (2, 18, 83), a predicted citrate:cation symporter, and a NAD-dependent malic enzyme potentially involved in the branched tricarboxylic acid (TCA) “cycle” in C. ljungdahlii (2). Of these genes, the genes coding for the anaerobic CODH complex were significantly more highly expressed by 8%-O2-exposed cells at both 14 and 36 h, the glyceraldehyde 3-phosphate dehydrogenase, predicted citrate:cation symporter, and NAD-dependent malic enzyme genes were significantly more highly expressed by anaerobic cells at 14 h, and the G-subunit of the RNF complex, the predicted hydrogenase expression/formation protein, and the CODH genes were significantly more highly expressed by 8%-O2-exposed cells at 36 h (Table 3). Several other genes related to peptide uptake and amino acid metabolism were also more highly expressed in 8%-O2-exposed cells at 14 h (CLJU_c19310-20, CLJU_c37340-50) and 36 h (CLJU_c28700, CLJU_c28730-60) (see Table S2 in the supplemental material).

TABLE 3.

Expression profile of genes differentially expressed by C. ljungdahlii known and predicted to be involved in substrate, energy, and cofactor metabolism

Locus tag Gene product annotation Result ata:
14 h
36 h
Count
Log2 FC Count
Log2 FC
0% O2 8% O2 0% O2 8% O2
CLJU_c09090 Anaerobic-type CODH, FAD/NAD-dependent oxidoreductase subunit 15,022 184,044 −3.186 7,043 68,954 −2.880
CLJU_c09100 Anaerobic-type CODH, electron transfer subunit 4,988 18,436 −1.457 2,725 27,886 −2.944
CLJU_c09110 Anaerobic-type CODH 16,453 274,126 −3.629 8,432 92,640 −3.047
CLJU_c11380 RnfG 12,694 13,522 0.338 670 10,725 −3.548
CLJU_c13400 Glyceraldehyde 3-phosphate dehydrogenase 15,196 3,997 2.356 21,082 49,392 −0.817
CLJU_c17950 Putative molybdopterin biosynthesis protein 1,625 2,806 −0.358 1,944 21,178 −3.034
CLJU_c19400 Predicted transcriptional regulator 2,438 71,339 −4.442 5,622 30,966 −2.050
CLJU_c19410 Ferric uptake regulation protein 1,336 43,688 −4.602 4,144 23,877 −2.115
CLJU_c19420 Putative epimerase 2,040 38,862 −3.822 2,688 17,482 −2.290
CLJU_c19430 Putative membrane protein 2,187 38,238 −3.699 1,918 14,008 −2.457
CLJU_c19440 Conserved hypothetical protein 3,082 54,143 −3.706 3,467 23,993 −2.380
CLJU_c19450 Predicted two-component response regulator 469 1,549 −1.294 316 1,091 −1.375
CLJU_c19460 Predicted signal transduction histidine kinase 1,134 4,242 −1.474 800 2,404 −1.176
CLJU_c19470 Hypothetical protein 1,415 4,567 −1.261 1,728 3,695 −0.686
CLJU_c19480 Putative flavin reductase-like protein with rubredoxin domain 1,035 37,947 −4.767 796 5,290 −2.322
CLJU_c19490 Ferritin 1,607 68,688 −4.988 1,004 8,844 −2.727
CLJU_c20050 Predicted MoaD/ThiS domain protein 370 579 −0.219 219 4,871 −4.063
CLJU_c20060 Predicted dinucleotide-utilizing enzymes involved in molybdopterin/thiamine biosynthesis 235 321 −0.022 223 2,703 −3.186
CLJU_c23080 Predicted hydrogenase expression/formation protein 5,433 7,215 0.020 3,775 25,025 −2.319
CLJU_c35550 Predicted transcriptional regulator, Fur family 25,077 201,453 −2.577 27,102 104,436 −1.535
CLJU_c37670 CODH 119,541 101,616 0.664 23,751 183,015 −2.535
a

Comparisons of gene expression were made between anaerobic (0%-O2-exposed) and 8%-O2-exposed cells. A positive normalized log2 fold change (FC) value reflects higher expression by anaerobic cells, and a negative log2 FC value reflects higher expression by 8%-O2-exposed cells. The threshold for comparison was set at a normalized log2 FC value of ±2.

Table 3 also includes a Fur family transcriptional regulator (CLJU_c35550) expected to be involved in iron metabolism and a 10-member gene cluster (CLJU_c19400-90) predicted to be involved in metal cofactor repair and management (named crm). A KEGG image and visual representation of the differentially expressed crm gene cluster are provided in Fig. 3A and B, respectively. The crm gene cluster includes genes coding for a predicted transcriptional regulator (CLJU_c19400), a ferric uptake regulation protein (CLJU_c19410), a predicted two-component response regulator (CLJU_c19450), and a predicted signal transduction histidine kinase (CLJU_c19460). In addition to these, the hypothetical protein (CLJU_c19470) contains a polo-box domain of a polo-like kinase. Polo-like kinases have been known to be involved in cell cycle regulation, DNA damage, and oxygen stress in other organisms (85).

FIG 3.

FIG 3

(A) KEGG image of the C. ljungdahlii cofactor repair and management (crm) gene cluster. (B) Visual comparison of read alignment to a locus on the C. ljungdahlii genome containing the crm gene cluster of FastQ reads derived from RNA sequencing of 0%-O2-exposed (anaerobically grown) and 8%-O2-exposed cultures. Images were generated using the sequence assembly visualization software Tablet. Sample 1 is one of three 14-h-time point anaerobic cell transcriptomes, and sample 7 is one of three 14-h-time point 8%-O2-exposed cell transcriptomes. Arrows 1, 2, 3, 4, and 5 point to positions 2107698 (beginning of the CLJU_c19400 ORF), 2111421 (end of the CLJU_c19440 ORF), 2111708 (beginning of the CLJU_c19450 ORF), 2115295 (end of the CLJU_c19470 ORF), and 2116834 on the genome (beginning of the CLJU_c19490 ORF).

Besides these regulatory proteins, the gene cluster also contains a gene encoding ferritin (CLJU_c19490), a protein known to sequester iron, and a gene encoding a flavin reductase-like protein with a rubredoxin domain similar to that of proteins shown to release iron from ferritin using reduced FMN (CLJU_c19480) (8689). Flavins used by this protein may be transported into the cell by the putative membrane protein encoded by CLJU_c19430, which contains two EamA domains like the characterized riboflavin-transporting transmembrane permeases (RibN) from Ochrobactrum anthropi and Vibrio cholerae (90). A blastx query of the putative epimerase gene (CLJU_c19420) in this oxygen-induced gene cluster revealed that it had higher homology to a phenazine biosynthesis-like protein than its annotated function as an epimerase. Phenazines serve as electron shuttles for various terminal electron acceptors and have been shown to reduce iron (hydr)oxides in Pseudomonas chlororaphis and other bacteria (91). Also, a blastx query of the gene sequence for the conserved hypothetical protein (CLJU_c19440) revealed a DUF1848 domain. The C terminus of DUF1848 domains contain a cluster of cysteines similar to the Fe-S cluster of a radical SAM domain, which are known to catalyze diverse reactions, including cofactor biosynthesis and maturation, posttranscriptional and posttranslational modification, enzyme activation, substrate anchoring, electron transfer, and sulfur donation (92).

Enzyme activities associated with ethanol production.

Figure 4A shows a modified version of the predicted C. ljungdahlii anabolic pathways leading to ethanol formation previously described by Köpke et al. (2). Either ethanol can be produced from acetyl-CoA by acetaldehyde dehydrogenase activity followed by ethanol dehydrogenase activity or from acetate by acetate reductase (reverse reaction of aldehyde oxidation) followed by ethanol dehydrogenase (Fig. 4A).

FIG 4.

FIG 4

(A) Predicted C. ljungdahlii anabolic pathways leading to ethanol. Aldehyde oxidoreductase (AOR), acetate, acetaldehyde, oxidized and reduced ferredoxin (Fdox/FDred), anaerobic-type CODH complex, CO, CO2, and ethanol are in boldface to indicate metabolic flux proposed to account for higher ethanol and lower acetate production by 8%-O2-exposed C. ljungdahlii batch cultures. Pta, phosphotransacetylase; Ack, acetate kinase; AdhE, bifunctional aldehyde/alcohol dehydrogenase; 2 [H], reduced form of NAD [phosphate]; PFOR, pyruvate:ferredoxin oxidoreductase; CODH, carbon monoxide dehydrogenase. (B) AOR (methyl viologen acetate oxidoreductase activity) enzyme activity assay results for cell extract from 14-h 0%-O2-exposed (anaerobically grown), 14-h 8%-O2-exposed, 36-h 0%-O2-exposed, and 36-h 8%-O2-exposed C. ljungdahlii batch cultures. Activity (units per milligram) is defined as micromoles of methyl viologen oxidized per minute. The data represent an average from six biological replicates per condition. Error bars indicate standard deviations.

Acetate reductase activity was at least 6-fold higher at 14 h and 4-fold higher at 36 h on average for cell-free cell extracts from 8%-O2-exposed cultures compared to cell extracts from anaerobic cultures (Fig. 4B). Acetaldehyde oxidoreductase activity as measured by benzyl viologen reduction did not seem to be present in anaerobic cells or 8%-O2-exposed cells at 14 or 36 h since acetaldehyde did not increase benzyl viologen reduction by cell extracts (data not shown). However, acetaldehyde-independent benzyl viologen reduction was mediated by cell extracts from cultures of 14-h 8%-O2-exposed cells, 36-h anaerobic cultures, and 36-h 8%-O2-exposed cells, but not 14-h anaerobic cultures (see Fig. S2A in the supplemental material). Aldehyde-independent benzyl viologen reduction by cell extracts indicates that cell extracts (except those derived from 14-h anaerobic cultures) have a lower redox potential than benzyl viologen. Also, based on a general trend of higher acetaldehyde-independent benzyl viologen activity for cell extracts from cells grown normally in media with reducing agents versus unreduced cultures, electrons from reducing agents can be used by cells to reduce benzyl viologen (see Fig. S2A). Ethanol and acetaldehyde dehydrogenase activities of cell extracts from 8%-O2-exposed and anaerobic cultures had less than a 2-fold difference at the 14- and 36-h time points (see Fig. S2B and S2C).

Enzyme activities associated with oxygen tolerance.

Based on differential expression of genes for multiple rubrerythrin and rubrerythrin-like enzymes (hemerythrin) (Table 2), it was hypothesized that the 8%-O2-exposed C. ljungdahlii cultures would have higher NAD(P)H hydrogen peroxidase activity than anaerobic cultures. Figure 5A shows that this prediction was correct at both 14 and 36 h.

FIG 5.

FIG 5

(A) NAD(P)H hydrogen peroxidase enzyme activity assay results for 14-h 0%-O2-exposed (anaerobically grown), 14-h 8%-O2-exposed, 36-h 0%-O2-exposed, and 36-h 8%-O2-exposed samples. Activity (units per milligram) is defined as micromoles of NAD(P)H oxidized per minute. The data represent an average of six biological replicates per condition. Error bars indicate standard deviations. (B) SDS-PAGE analysis of C. ljungdahlii cell-free cell extract (5 μg) from 14-h 0%-O2-exposed (lane 2), 14-h 8%-O2-exposed (lane 3), 36-h 0%-O2-exposed (lane 4), and 36-h 8%-O2-exposed (lane 5) cultures. Five microliters of PageRuler prestained protein ladder was loaded into lanes 1 and 6. The image was modified to remove irrelevant lanes. (C) Protein identification by MALDI-TOF/TOF and Mascot analysis of O2-induced band (denoted by an arrow in panel B). The significant score identification threshold (P < 0.05) for the C. ljungdahlii protein database is 72. (MS/MS and peptide sequenced ion scores higher than 72 are considered a significant identification.) The MS/MS score and peptide sequenced ion score for CLJU_c39340 (the locus tag for a predicted rubrerythrin) are 726 and 697, respectively.

C. ljungdahlii was also assayed for catalase, oxidase, superoxide dismutase, and xanthine oxidase activities, which are other common enzyme activities for ROS and oxygen detoxification. No detectable activity was observed for these enzymes in cell extracts of 8%-O2-exposed or anaerobically grown C. ljungdahlii cells (data not shown).

Identification of an oxygen-inducible protein.

To determine if there were any observable highly translated oxygen-induced proteins, cell extracts from anaerobic and 8%-O2-exposed cultures (14 and 36 h) were run on an SDS-PAGE gel (Fig. 5B). A distinct band between the ∼15- and ∼25-kDa ladder markers was present only in lanes 3 and 4 corresponding to the 14-h and 36-h 8%-O2-exposed cultures (Fig. 5B). Cell extracts from anaerobic and 8%-O2-exposed cultures (14 and 36 h) and grown in media without reducing agents were also run on an SDS-PAGE gel (see Fig. S1 in the supplemental material); no apparent difference was observed between these and cell extracts from cells grown in medium containing reducing agents. The distinct band was identified as the differentially expressed predicted rubrerythrin (CLJU_c39340) (Fig. 5C and Table 1).

DISCUSSION

In this study, exposure of C. ljungdahlii cells to 8% O2 when grown in mixotrophic medium was confirmed to result in higher ethanol production with correspondingly lower acetate production (Fig. 1B and C) (63). Differential expression analysis and enzyme activity assays revealed two genes (CLJU_c24130 and CLJU_c39340) that are likely to play major roles in higher ethanol production and oxygen detoxification, respectively (Tables 1 and 2 and Fig. 4B and 5A). Expression analysis and fermentation products also suggest that carbon, energy, and cofactor metabolism link the AOR and rubrerythrin activities (Table 3).

Higher ethanol production is due to a carbon flux from reduction of acetate to acetaldehyde by AOR followed by reduction of acetaldehyde to ethanol by alcohol dehydrogenase (likely AdhE1) (Fig. 4A). The primary enzyme found to be responsible for higher ethanol production in 8%-O2-exposed cultures compared to anaerobic cultures appears to be an AOR (encoded by CLJU_c24130). In addition to significantly higher expression of this gene in cells exposed to 8% O2, it was also shown that AOR activity (acetate reductase activity) was 6 and 4 times higher in 8%-O2-exposed cells than in anaerobic cells at 14 and 36 h, respectively (Table 1 and Fig. 4B). However, a recent study by Xie et al. showed that higher expression of another AOR (encoded by CLJU_c20110) correlated with higher gene expression and higher ethanol production by C. ljungdahlii (93). Prior to this study, Kopke et al. predicted that under surplus reducing equivalents, acetate could be converted to acetaldehyde, the precursor of ethanol, by the AORs encoded by CLJU_c20110 and CLJU_c20210 (2). It was also shown that CLJU_c20110 was significantly more highly expressed when C. ljungdahlii was grown autotrophically (80% CO, 20% CO2) than when it was grown heterotrophically with fructose (93, 94). In contrast, we observed that both CLJU_c20110 and CLJU_c20210 had relatively low transcript counts, which may be explained by the fact that the growth medium used in this study had fructose as the primary carbon source (Table 1). In fact, our results indicate that CLJU_c20210 was significantly more highly expressed in anaerobic cultures than in 8%-O2-exposed cultures at 14 h (Table 1). To our knowledge, this is the first study to demonstrate corroborating fermentation, expression, and activity data associated with a particular AOR (encoded by CLJU_c24310), which is a different one than the other AORs reported (Table 1 and Fig. 1B and 4B).

As with the AORs encoded by CLJU_c20110 and CLJU_c20210, the AOR encoded by CLJU_c24130 is expected to utilize ferredoxin as a coenzyme for activity (95). However, this AOR is predicted to use molybdenum as a cofactor, whereas the other two are predicted to be tungsten-containing AORs (2). Of the characterized carboxylic acid-reducing AORs of C. formicaceticum, a molybdenum-containing AOR is much less oxygen labile than the tungsten-containing AORs, and it is true in general that tungsten is more oxygen labile than molybdenum (9599). More specifically, C. formicaceticum's purified tungsten-containing AOR lost 20% of its activity in 5 min versus 4% for the molybdenum-containing AOR (95). This may explain why the gene for the tungsten-containing AOR was significantly less expressed, while the gene for the AOR encoded by CLJU_c24310 was significantly more highly expressed when cells were exposed to 8% O2 (Table 1). A drawback of molybdenum-containing AORs is that they are less active than tungsten-containing AORs; in C. formicaceticum, the purified molybdenum-containing AOR was found to have 10 times less activity than the tungsten-containing AOR (95). While it is not a perfect comparison, here we found that even the higher carboxylic acid reductase activity of cell-free extracts of 8%-O2-exposed cells (acetate reductase) was about 4 times less than the (propionate reductase) activity of C. ragsdalei cell-free extracts (∼0.03 U/mg versus ∼0.12 U/mg) (Fig. 4B). The activities of the cell extracts from anaerobic cultures were 24 times less than those from C. ragsdalei (∼0.005 U/mg versus ∼0.12 U/mg) (Fig. 4B). The difference in activities for anaerobic cultures of these closely related species can be explained by autotrophic growth for C. ragsdalei versus mixotrophic growth, with fructose as the predominant carbon substrate for C. ljungdahlii. As previously mentioned, expression of C. ljungdahlii's main tungsten-containing AOR (CLJU_c20110) was significantly less for fructose-grown cells than for 80%-CO-grown cells (93, 94). Despite the lower activity of molybdenum-containing AORs, their benefit of a higher tolerance to oxidized compounds like O2, NOx, and SOx may make this predicted molybdenum-containing AOR a more interesting genetic target for overexpression in commercial applications where less syngas purification means higher margins. Further study of the substrate specificity of this molybdenum-containing AOR would also benefit those interested in producing biochemicals with the carboxylate platform.

Another major finding of this study is the identification of a rubrerythrin (encoded by CLJU_c39340) that is likely to play a key role in C. ljungdahlii's ability to tolerate low oxygen exposure by reducing hydrogen peroxide. Unlike several other genes encoding rubrerythrin and rubrerythrin-like (hemerythrin) enzymes that were also differentially expressed at 14 and 36 h, the protein encoded by CLJU_c39340 was also highly translated (Table 2 and Fig. 5B). In a previous study, SDS-PAGE analysis of air-exposed C. acetobutylicum also showed one distinct band at 22 kDa, which was later revealed to be two rubrerythrins with one amino acid difference (encoded by CA_C3597 and CA_C3598) (100, 101). These rubrerythrins, which were shown to be highly active hydrogen peroxidases, have sequence and structural similarities to CLJU_c39340 (see Table S4 in the supplemental material) (57). Actually, the hydrogen peroxidase activity was found to be about 40 times higher in C. ljungdahlii oxygen-exposed cell extracts than in C. acetobutylicum oxygen-exposed cell extracts (∼0.93 U/mg versus ∼0.023 U/mg) (Fig. 5A) (58). However, it is unclear what (co)enzymes are acting as rubredoxin and NADH:rubredoxin oxidoreductase in C. ljungdahlii since no differentially expressed genes predicted to be involved in oxygen/ROS detoxification had higher than 40% homology with the respective [co]enzymes in C. acetobutylicum (see Table S4). Despite the induction of protective oxygen-responsive genes and higher hydrogen peroxidase activity, C. ljungdahlii is much more sensitive to oxygen than is C. acetobutylicum (Table 2 and Fig. 5A). Mid-log-phase batch cultures of C. acetobutylicum (300 mg dry cells/liter) were previously found to rapidly reduce 0.64 to 0.80 ppm DO in the growth media, and cells were able to survive after flushing with air for 30 min (∼20% O2) and even grow during flushing with 5% O2 (100, 102). In contrast, C. ljungdahlii cultures required about 24 h to reduce 0.18 ppm DO and were previously shown to die after exposure to greater than 10% O2 (Fig. 2C) (63). The lower oxygen tolerance of C. ljungdahlii compared to C. acetobutylicum is likely the result of C. ljungdahlii's lack of oxidase and superoxide dismutase/reductase activities, which are present in C. acetobutylicum (data not shown) (78).

AOR and rubrerythrin activities (and thus the higher ethanol production and oxygen detoxification) are connected through carbon, energy, and cofactor metabolism. Both AOR and rubrerythrin are redox proteins that require the coenzymes reduced ferredoxin and NAD(P)H for their respective activities. In C. ljungdahlii, ferredoxin can be reduced by CO oxidation activity, hydrogenase activity, and PFOR (fructose metabolism) activity; NAD(P)+ can be reduced by hydrogenase, transhydrogenase NfnAB (energy conservation), and RNF complex activity (energy conservation) (103). Of these, expression analysis revealed that (at 14 and 36 h) the anaerobic-type CODH and (at 36 h) the redox-active G-subunit of the RNF complex were significantly more highly expressed in 8%-O2-exposed cells than in anaerobic cells (Table 3). Furthermore, CO consumption per gram of cells was also higher, while hydrogen and fructose consumption were lower in 8%-O2-exposed cells (Fig. 2A). Therefore, it appears that CO is preferentially used as a source of electrons for oxygen detoxification. The ability of 14-h cell extracts from 8%-O2-exposed cultures to reduce benzyl viologen (without the addition of any other substrate, i.e., acetaldehyde) and the inability of 14-h cell extracts from anaerobic cultures to do the same indicate that cells exposed to 8% O2 generate surplus reduced coenzymes with higher redox potentials than benzyl viologen, such as reduced ferredoxin (see Fig. S2A in the supplemental material). Expression analysis indicates that ferredoxin is reduced by the anaerobic-type CODH (Table 3). This is followed by NAD+ reduction by ferredoxin:NAD+ oxidoreductase (Rnf) activity providing NADH for hydrogen peroxidase activity by rubrerythrin (Table 2, Table 3, and Fig. 4A). Turnover of surplus reduced coenzymes is achieved by ferredoxin:acetate reductase activity by AOR followed by NADH:acetaldehyde dehydrogenase activity by AdhE1 (Table 1, Fig. 4A; see Fig. S2C). Therefore, despite less total liquid products because some electrons were used to reduce O2 instead of CO2, these activities resulted in a higher ethanol/acetate ratio in 8%-O2-exposed cultures (Fig. 1B and C and 2B and C).

Of these redox (co)enzymes mentioned, ferredoxin, the anaerobic-type CODH, rubrerythrin, and AOR require Fe-S clusters. When C. ljungdahlii is exposed to oxygen, the crm gene cluster is significantly upregulated (Table 3 and Fig. 3). Based on blastx query results, it is predicted to have a similar function to the suf operon in E. coli, which has been shown to be involved in the regeneration or replacement of cofactors such as iron-sulfur clusters and molybdopterin of molybdenum and tungsten-containing proteins and limits Fenton reactions during oxygen detoxification (104). Also, several other genes annotated as coding for molybdopterin biosynthesis and molybdopterin-containing proteins were significantly more highly expressed in 8%-O2-exposed cells (CLJU_c17950, CLJU_c20050-60, CLJU_c23910, CLJU_c24130) (see Table S2 in the supplemental material). Molybdopterin may contain either tungsten or molybdenum metals, but as previously mentioned, molybdenum is less oxygen labile (9699, 105). Nickel may also be a more preferential cofactor during oxygen exposure based on significantly higher expression of the anaerobic-type (nickel-dependent) CODH complex (CLJU_c09090-110) at 14 and 36 h and predicted hydrogenase expression/formation protein (CLJU_c23080) at 36 h, which is thought to be involved in nickel insertion (Table 3) (2). In general, nickel-containing CODHs and hydrogenases are oxygen labile, but some have long inactivation half-lives, can be protected by the presence of substrate, and can be regenerated by reducing agents (106108). The shift in cofactors and associated enzymes allows for continued activity and less oxidative damage during oxygen detoxification.

The ability of C. ljungdahlii to tolerate low concentrations of oxygen and other oxidized contaminants (i.e., NOx and SOx) is important for its application in the biofuels industry because it is likely that such contaminants will be contained in biomass-derived syngas (22, 23, 28, 109). Although it was observed that exposure of C. ljungdahlii to low levels of oxygen (8% O2) increased ethanol and decreased acetate concentrations, the purpose of this work was not to suggest that oxygen should be added to syngas fermentations. Slower metabolism of syngas components H2 and CO and less carbon from CO going to product formation (through acetyl-CoA synthesis) are undesirable; therefore, oxygen should generally be removed from C. ljungdahlii syngas fermentations. Rather, this work contributes the identification of genetic targets to potentially improve ethanol production in the presence of syngas contaminants by improving the robustness of syngas-consuming microbial catalysts like C. ljungdahlii and thus reduce the need for costly syngas cleaning. This work also contributes new knowledge about the metabolism and physiology of this model organism.

Supplementary Material

Supplemental material

ACKNOWLEDGMENTS

This study is based upon work supported in whole or part by the North Carolina Biotechnology Center (NCBC) (award no. 2008-MRG-1104). Funding for J.W. was provided by a USDA National Needs Fellowship (NNF).

We thank Jimmy Gosse and Mark Schulte for contributing to the gas chromatography instrumentation and protocol development, M. C. Flickinger for the use of his gas chromatography machine, S. F. Khattak for the use of the Nova BioProfile 400 analyzer, and Sherry Tove for comments on the manuscript.

Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views and policies of the NCBC.

Footnotes

Supplemental material for this article may be found at http://dx.doi.org/10.1128/AEM.02491-15.

REFERENCES

  • 1.Barik S, Prieto S, Harrison S, Clausen E, Gaddy J. 1988. Biological production of alcohols from coal through indirect liquefaction. Appl Biochem Biotechnol 18:363–378. doi: 10.1007/BF02930840. [DOI] [Google Scholar]
  • 2.Köpke M, Held C, Hujer S, Liesegang H, Wiezer A, Wollherr A, Ehrenreich A, Liebl W, Gottschalk G, Dürre P. 2010. Clostridium ljungdahlii represents a microbial production platform based on syngas. Proc Natl Acad Sci U S A 107:13087–13092. doi: 10.1073/pnas.1004716107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Leang C, Ueki T, Nevin KP, Lovley DR. 2013. A genetic system for Clostridium ljungdahlii: a chassis for autotrophic production of biocommodities and a model homoacetogen. Appl Environ Microbiol 79:1102–1109. doi: 10.1128/AEM.02891-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Tanner RS, Miller LM, Yang D. 1993. Clostridium ljungdahlii sp. nov., an acetogenic species in Clostridial rRNA homology group I. Int J Syst Bacteriol 43:232–236. doi: 10.1099/00207713-43-2-232. [DOI] [PubMed] [Google Scholar]
  • 5.Cotter J, Chinn M, Grunden A. 2009. Ethanol and acetate production by Clostridium ljungdahlii and Clostridium autoethanogenum using resting cells. Bioprocess Biosyst Eng 32:369–380. doi: 10.1007/s00449-008-0256-y. [DOI] [PubMed] [Google Scholar]
  • 6.Cotter JL, Chinn MS, Grunden AM. 2009. Influence of process parameters on growth of Clostridium ljungdahlii and Clostridium autoethanogenum on synthesis gas. Enzyme Microb Technol 44:281–288. doi: 10.1016/j.enzmictec.2008.11.002. [DOI] [Google Scholar]
  • 7.Klasson K, Ackerson M, Clausen E, Gaddy J. 1993. Biological conversion of coal and coal-derived synthesis gas. Fuel 72:1673–1678. doi: 10.1016/0016-2361(93)90354-5. [DOI] [Google Scholar]
  • 8.Klasson K, Elmore B, Vega J, Ackerson M, Clausen E, Gaddy J. 1990. Biological production of liquid and gaseous fuels from synthesis gas. Appl Biochem Biotechnol 24:857–873. [Google Scholar]
  • 9.Klasson K, Gaddy L. 1992. Bioliquefaction of coal synthesis gas. Am Chem Soc Div Fuel Chem 37:1977–1982. [Google Scholar]
  • 10.Klasson KT, Ackerson MD, Clausen EC, Gaddy JL. 1992. Bioconversion of synthesis gas into liquid or gaseous fuels. Enzyme Microb Technol 14:602–608. doi: 10.1016/0141-0229(92)90033-K. [DOI] [Google Scholar]
  • 11.Klasson KT, Ackerson MD, Clausen EC, Gaddy JL. 1991. Bioreactor design for synthesis gas fermentations. Fuel 70:605–614. doi: 10.1016/0016-2361(91)90174-9. [DOI] [Google Scholar]
  • 12.Mohammadi M, Younesi H, Najafpour G, Mohamed AR. 2012. Sustainable ethanol fermentation from synthesis gas by Clostridium ljungdahlii in a continuous stirred tank bioreactor. J Chem Technol Biotechnol 87:837–843. doi: 10.1002/jctb.3712. [DOI] [Google Scholar]
  • 13.Phillips JR, Clausen EC, Gaddy JL. 1994. Synthesis gas as substrate for the biological production of fuels and chemicals. Appl Biochem Biotechnol 45:145–157. [Google Scholar]
  • 14.Vega J, Prieto S, Elmore B, Clausen E, Gaddy J. 1989. The biological production of ethanol from synthesis gas. Appl Biochem Biotechnol 20:781–797. [Google Scholar]
  • 15.Younesi H, Najafpour G, Mohamed AR. 2006. Liquid fuel production from synthesis gas via fermentation process in a continuous tank bioreactor (CSTBR) using Clostridium ljungdahlii. Iran J Biotechnol 4:45–53. [Google Scholar]
  • 16.Kim YK, Park SE, Lee H, Yun JY. 2014. Enhancement of bioethanol production in syngas fermentation with Clostridium ljungdahlii using nanoparticles. Bioresour Technol 159:446–450. doi: 10.1016/j.biortech.2014.03.046. [DOI] [PubMed] [Google Scholar]
  • 17.Banerjee A, Leang C, Ueki T, Nevin KP, Lovley DR. 2014. Lactose-inducible system for metabolic engineering of Clostridium ljungdahlii. Appl Environ Microbiol 80:2410–2416. doi: 10.1128/AEM.03666-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Köpke M, Mihalcea C, Liew FM, Tizard JH, Ali MS, Conolly JJ, Al-Sinawi B, Simpson SD. 2011. 2,3-Butanediol production by acetogenic bacteria, an alternative route to chemical synthesis, using industrial waste gas. Appl Environ Microbiol 77:5467–5475. doi: 10.1128/AEM.00355-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Richter H, Loftus SE, Angenent LT. 2013. Integrating syngas fermentation with the carboxylate platform and yeast fermentation to reduce medium cost and improve biofuel productivity. Environ Technol 34:1983–1994. doi: 10.1080/09593330.2013.826255. [DOI] [PubMed] [Google Scholar]
  • 20.Tan Y, Liu J, Liu Z, Li F. 2013. Characterization of two novel butanol dehydrogenases involved in butanol degradation in syngas-utilizing bacterium Clostridium ljungdahlii DSM 13528. J Basic Microbiol 54:996–1004. [DOI] [PubMed] [Google Scholar]
  • 21.Ueki T, Nevin KP, Woodard TL, Lovley DR. 2014. Converting carbon dioxide to butyrate with an engineered strain of Clostridium ljungdahlii. mBio 5:e01636-14. doi: 10.1128/mBio.01636-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Daniell J, Köpke M, Simpson SD. 2012. Commercial biomass syngas fermentation. Energies 5:5372–5417. doi: 10.3390/en5125372. [DOI] [Google Scholar]
  • 23.Xu D, Tree DR, Lewis RS. 2011. The effects of syngas impurities on syngas fermentation to liquid fuels. Biomass Bioenergy 35:2690–2696. doi: 10.1016/j.biombioe.2011.03.005. [DOI] [Google Scholar]
  • 24.Hickey R. November 2012. HCN removal from syngas using chemical and biological treatment. US patent 8,303,849 B2.
  • 25.Hickey R. April 2011. Method of treating a hot syngas stream for conversion to chemical products by removing ammonia and COS. US patent 7,927,513 B1.
  • 26.Hickey R, Datta R, Tsai S-P, Basu R. December 2014. Membrane supported bioreactor for conversion of syngas components to liquid products. US patent 20,140,377,822 A1.
  • 27.Ahmed A, Lewis RS. 2006. Fermentation of biomass generated synthesis gas: effects of nitric oxide. Biotechnol Bioeng 97:1080–1086. [DOI] [PubMed] [Google Scholar]
  • 28.Datar RP, Shenkman RM, Cateni BG, Huhnke RL, Lewis RS. 2004. Fermentation of biomass-generated producer gas to ethanol. Biotechnol Bioeng 86:587–594. doi: 10.1002/bit.20071. [DOI] [PubMed] [Google Scholar]
  • 29.Ahmed A, Cateni BG, Huhnke RL, Lewis RS. 2006. Effects of biomass-generated producer gas constituents on cell growth, product distribution and hydrogenase activity of Clostridium carboxidivorans P7T. Biomass Bioenergy 30:665–672. doi: 10.1016/j.biombioe.2006.01.007. [DOI] [Google Scholar]
  • 30.Wilkins MR, Atiyeh HK. 2011. Microbial production of ethanol from carbon monoxide. Curr Opin Biotechnol 22:326–330. doi: 10.1016/j.copbio.2011.03.005. [DOI] [PubMed] [Google Scholar]
  • 31.Atkinson DE. 1956. The biochemistry of Hydrogenomonas. IV. The inhibition of hydrogenase by oxygen. J Biol Chem 218:557–564. [PubMed] [Google Scholar]
  • 32.Bonam D, Murrell SA, Ludden PW. 1984. Carbon monoxide dehydrogenase from Rhodospirillum rubrum. J Bacteriol 159:693–699. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Daniels L, Fuchs G, Thauer RK, Zeikus JG. 1977. Carbon monoxide oxidation by methanogenic bacteria. J Bacteriol 132:118–126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Fisher HF, Krasna AI, Rittenberg D. 1954. The interaction of hydrogenase with oxygen. J Biol Chem 209:569–578. [PubMed] [Google Scholar]
  • 35.Hu S-I, Drake H, Wood H. 1982. Synthesis of acetyl coenzyme A from carbon monoxide, methyltetrahydrofolate, and coenzyme A by enzymes from Clostridium thermoaceticum. J Bacteriol 149:440–448. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Imlay JA. 2006. Iron-sulphur clusters and the problem with oxygen. Mol Microbiol 59:1073–1082. doi: 10.1111/j.1365-2958.2006.05028.x. [DOI] [PubMed] [Google Scholar]
  • 37.Ljungdahl LG. 1986. The autotrophic pathway of acetate synthesis in acetogenic bacteria. Annu Rev Microbiol 40:415–450. doi: 10.1146/annurev.mi.40.100186.002215. [DOI] [PubMed] [Google Scholar]
  • 38.Maier RJ, Merberg DM. 1982. Rhizobium japonicum mutants that are hypersensitive to repression of H2 uptake by oxygen. J Bacteriol 150:161–167. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Morton T, Runquist J, Ragsdale S, Shanmugasundaram T, Wood H, Ljungdahl L. 1991. The primary structure of the subunits of carbon monoxide dehydrogenase/acetyl-CoA synthase from Clostridium thermoaceticum. J Biol Chem 266:23824–23828. [PubMed] [Google Scholar]
  • 40.Pezacka E, Wood HG. 1984. Role of carbon monoxide dehydrogenase in the autotrophic pathway used by acetogenic bacteria. Proc Natl Acad Sci U S A 81:6261–6265. doi: 10.1073/pnas.81.20.6261. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Ragsdale SW, Clark JE, Ljungdahl LG, Lundie LL, Drake HL. 1983. Properties of purified carbon monoxide dehydrogenase from Clostridium thermoaceticum, a nickel, iron-sulfur protein. J Biol Chem 258:2364–2369. [PubMed] [Google Scholar]
  • 42.Ragsdale SW, Ljungdahl LG, Dervartanian DV. 1983. Isolation of carbon monoxide dehydrogenase from Acetobacterium woodii and comparison of its properties with those of the Clostridium thermoaceticum enzyme. J Bacteriol 155:1224–1237. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Ragsdale SW, Wood HG. 1991. Enzymology of the acetyl-CoA pathway of CO2 fixation. Crit Rev Biochem Mol Biol 26:261–300. doi: 10.3109/10409239109114070. [DOI] [PubMed] [Google Scholar]
  • 44.Becker A, Fritz-Wolf K, Kabsch W, Knappe J, Schultz S, Wagner AV. 1999. Structure and mechanism of the glycyl radical enzyme pyruvate formate-lyase. Nat Struct Mol Biol 6:969–975. doi: 10.1038/13341. [DOI] [PubMed] [Google Scholar]
  • 45.Bock A-K, Kunow J, Glasemacher J, Schönheit P. 1996. Catalytic properties, molecular composition and sequence alignments of pyruvate:ferredoxin oxidoreductase from the methanogenic archaeon Methanosarcina barkeri (strain Fusaro). Eur J Biochem 237:35–44. doi: 10.1111/j.1432-1033.1996.0035n.x. [DOI] [PubMed] [Google Scholar]
  • 46.Brown DM, Upcroft JA, Edwards MR, Upcroft P. 1998. Anaerobic bacterial metabolism in the ancient eukaryote Giardia duodenalis. Int J Parasitol 28:149–164. doi: 10.1016/S0020-7519(97)00172-0. [DOI] [PubMed] [Google Scholar]
  • 47.Hughes NJ, Clayton CL, Chalk PA, Kelly DJ. 1998. Helicobacter pylori porCDAB and oorDABC genes encode distinct pyruvate:flavodoxin and 2-oxoglutarate:acceptor oxidoreductases which mediate electron transport to NADP. J Bacteriol 180:1119–1128. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Leibig M, Liebeke M, Mader D, Lalk M, Peschel A, Gotz F. 2011. Pyruvate formate lyase acts as a formate supplier for metabolic processes during anaerobiosis in Staphylococcus aureus. J Bacteriol 193:952–962. doi: 10.1128/JB.01161-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Nakayama T, Yonekura S-I, Yonei S, Zhang-Akiyama Q-M. 2013. Escherichia coli pyruvate:flavodoxin oxidoreductase, YdbK-regulation of expression and biological roles in protection against oxidative stress. Genes Genet Syst 88:175–188. doi: 10.1266/ggs.88.175. [DOI] [PubMed] [Google Scholar]
  • 50.Yang J, Naik SG, Ortillo DO, GarciÌa-Serres R, Li M, Broderick WE, Huynh BH, Broderick JB. 2009. The iron-sulfur cluster of pyruvate formate-lyase activating enzyme in whole cells: cluster interconversion and a valence-localized [4Fe-4S]2+ state. Biochemistry 48:9234–9241. doi: 10.1021/bi9010286. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Drake HL, Gößner AS, Daniel SL. 2008. Old acetogens, new light. Ann N Y Acad Sci 1125:100–128. doi: 10.1196/annals.1419.016. [DOI] [PubMed] [Google Scholar]
  • 52.Fuchs G. 1986. CO2 fixation in acetogenic bacteria: variations on a theme. FEMS Microbiol Lett 39:181–213. doi: 10.1111/j.1574-6968.1986.tb01859.x. [DOI] [Google Scholar]
  • 53.Tally FP, Stewart PR, Sutter VL, Rosenblatt JE. 1975. Oxygen tolerance of fresh clinical anaerobic bacteria. J Clin Microbiol 1:161–164. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Boga HI, Brune A. 2003. Hydrogen-dependent oxygen reduction by homoacetogenic bacteria isolated from termite guts. Appl Environ Microbiol 69:779–786. doi: 10.1128/AEM.69.2.779-786.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Das A, Silaghi-Dumitrescu R, Ljungdahl LG, Kurtz DM Jr. 2005. Cytochrome bd oxidase, oxidative stress, and dioxygen tolerance of the strictly anaerobic bacterium Moorella thermoacetica. J Bacteriol 187:2020–2029. doi: 10.1128/JB.187.6.2020-2029.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Karnholz A, Küsel K, Goner A, Schramm A, Drake HL. 2002. Tolerance and metabolic response of acetogenic bacteria toward oxygen. Appl Environ Microbiol 68:1005–1009. doi: 10.1128/AEM.68.2.1005-1009.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Kawasaki S, Sakai Y, Takahashi T, Suzuki I, Niimura Y. 2009. O2 and reactive oxygen species detoxification complex, composed of O2-responsive NADH:rubredoxin oxidoreductase-flavoprotein A2-desulfoferrodoxin operon enzymes, rubperoxin, and rubredoxin, in Clostridium acetobutylicum. Appl Environ Microbiol 75:1021–1029. doi: 10.1128/AEM.01425-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Kawasaki S, Watamura Y, Ono M, Watanabe T, Takeda K, Niimura Y. 2005. Adaptive responses to oxygen stress in obligatory anaerobes Clostridium acetobutylicum and Clostridium aminovalericum. Appl Environ Microbiol 71:8442–8450. doi: 10.1128/AEM.71.12.8442-8450.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Kusel K, Karnholz A, Trinkwalter T, Devereux R, Acker G, Drake HL. 2001. Physiological ecology of Clostridium glycolicum RD-1, an aerotolerant acetogen isolated from sea grass roots. Appl Environ Microbiol 67:4734–4741. doi: 10.1128/AEM.67.10.4734-4741.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Silaghi-Dumitrescu R, Coulter ED, Das A, Ljungdahl LG, Jameson GNL, Huynh BH, Kurtz DM. 2003. A flavodiiron protein and high molecular weight rubredoxin from Moorella thermoacetica with nitric oxide reductase activity. Biochemistry 42:2806–2815. doi: 10.1021/bi027253k. [DOI] [PubMed] [Google Scholar]
  • 61.Drake HL, Daniel SL. 2004. Physiology of the thermophilic acetogen Moorella thermoacetica. Res Microbiol 155:422–436. doi: 10.1016/j.resmic.2004.03.003. [DOI] [PubMed] [Google Scholar]
  • 62.Tirado-Acevedo O, Chinn MS, Grunden AM. 2011. Influence of carbon source pre-adaptation on Clostridium ljungdahlii growth and product formation. J Bioprocess Biotech S2:001. doi: 10.4172/2155-9821.S2-001. [DOI] [Google Scholar]
  • 63.Tirado-Acevedo O. 2010. Production of bioethanol from synthesis gas using Clostridium ljungdahlii as a microbial catalyst. Ph.D. thesis North Carolina State University, Raleigh, NC. [Google Scholar]
  • 64.Roberts A, Pachter L. 2013. Streaming fragment assignment for real-time analysis of sequencing experiments. Nat Methods 10:71–73. doi: 10.1038/nmeth.2251. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Wang L, Feng Z, Wang X, Zhang X. 2010. DEGseq: an R package for identifying differentially expressed genes from RNA-seq data. Bioinformatics 26:136–138. doi: 10.1093/bioinformatics/btp612. [DOI] [PubMed] [Google Scholar]
  • 66.Benjamini Y, Hochberg Y. 1995. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Series B Stat Methodol 57:289–300. [Google Scholar]
  • 67.Milne I, Bayer M, Cardle L, Shaw P, Stephen G, Wright F, Marshall D. 2010. Tablet—next generation sequence assembly visualization. Bioinformatics 26:401–402. doi: 10.1093/bioinformatics/btp666. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Milne I, Stephen G, Bayer M, Cock PJ, Pritchard L, Cardle L, Shaw PD, Marshall D. 2013. Using Tablet for visual exploration of second-generation sequencing data. Brief Bioinform 14:193–202. doi: 10.1093/bib/bbs012. [DOI] [PubMed] [Google Scholar]
  • 69.Lu G, Moriyama EN. 2004. Vector NTI, a balanced all-in-one sequence analysis suite. Brief Bioinform 5:378–388. doi: 10.1093/bib/5.4.378. [DOI] [PubMed] [Google Scholar]
  • 70.Stanton TB, Jensen NS. 1993. Purification and characterization of NADH oxidase from Serpulina (Treponema) hyodysenteriae. J Bacteriol 175:2980–2987. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Hassan HM, Fridovich I. 1978. Regulation of the synthesis of catalase and peroxidase in Escherichia coli. J Biol Chem 253:6445–6450. [PubMed] [Google Scholar]
  • 72.Poole LB, Ellis HR. 1996. Flavin-dependent alkyl hydroperoxide reductase from Salmonella typhimurium. 1. Purification and enzymatic activities of overexpressed AhpF and AhpC proteins. Biochemistry 35:56–64. [DOI] [PubMed] [Google Scholar]
  • 73.Peskin AV, Winterbourn CC. 2000. A microtiter plate assay for superoxide dismutase using a water-soluble tetrazolium salt (WST-1). Clin Chim Acta 293:157–166. doi: 10.1016/S0009-8981(99)00246-6. [DOI] [PubMed] [Google Scholar]
  • 74.Clark DP, Cronan JE Jr. 1980. Acetaldehyde coenzyme A dehydrogenase of Escherichia coli. J Bacteriol 144:179–184. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Heider J, Ma K, Adams MW. 1995. Purification, characterization, and metabolic function of tungsten-containing aldehyde ferredoxin oxidoreductase from the hyperthermophilic and proteolytic archaeon Thermococcus strain ES-1. J Bacteriol 177:4757–4764. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Laemmli UK. 1970. Cleavage of structural proteins during the assembly of the head of bacteriophage T4. Nature 227:680–685. doi: 10.1038/227680a0. [DOI] [PubMed] [Google Scholar]
  • 77.Tan Y, Liu J, Chen X, Zheng H, Li F. 2013. RNA-seq-based comparative transcriptome analysis of the syngas-utilizing bacterium Clostridium ljungdahlii DSM 13528 grown autotrophically and heterotrophically. Mol Biosyst 9:2775–2784. doi: 10.1039/c3mb70232d. [DOI] [PubMed] [Google Scholar]
  • 78.Hillmann F, Doring C, Riebe O, Ehrenreich A, Fischer RJ, Bahl H. 2009. The role of PerR in O2-affected gene expression of Clostridium acetobutylicum. J Bacteriol 191:6082–6093. doi: 10.1128/JB.00351-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.May A, Hillmann F, Riebe O, Fischer RJ, Bahl H. 2004. A rubrerythrin-like oxidative stress protein of Clostridium acetobutylicum is encoded by a duplicated gene and identical to the heat shock protein Hsp21. FEMS Microbiol Lett 238:249–254. doi: 10.1111/j.1574-6968.2004.tb09763.x. [DOI] [PubMed] [Google Scholar]
  • 80.Riebe O, Fischer RJ, Wampler DA, Kurtz DM Jr, Bahl H. 2009. Pathway for H2O2 and O2 detoxification in Clostridium acetobutylicum. Microbiology 155:16–24. doi: 10.1099/mic.0.022756-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Kao WC, Wang VCC, Huang YC, Yu SSF, Chang TC, Chan SI. 2008. Isolation, purification and characterization of hemerythrin from Methylococcus capsulatus (Bath). J Inorg Biochem 102:1607–1614. doi: 10.1016/j.jinorgbio.2008.02.008. [DOI] [PubMed] [Google Scholar]
  • 82.Xiong J, Phillips RS, Kurtz DM, Jin S, Ai J, Sanders-Loehr J. 2000. The O2 binding pocket of myohemerythrin: role of a conserved leucine. Biochemistry 39:8526–8536. doi: 10.1021/bi9929397. [DOI] [PubMed] [Google Scholar]
  • 83.Nagarajan H, Sahin M, Nogales J, Latif H, Lovley D, Ebrahim A, Zengler K. 2013. Characterizing acetogenic metabolism using a genome-scale metabolic reconstruction of Clostridium ljungdahlii. Microb Cell Fact 12:118. doi: 10.1186/1475-2859-12-118. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Suharti S, Wang M, de Vries S, Ferry JG. 2014. Characterization of the RnfB and RnfG subunits of the Rnf complex from the archaeon Methanosarcina acetivorans. PLoS One 9:e97966. doi: 10.1371/journal.pone.0097966. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Yuan K, Hu H, Guo Z, Fu G, Shaw AP, Hu R, Yao X. 2007. Phospho-regulation of HsCdc14A by Polo-like kinase 1 is essential for mitotic progression. J Biol Chem 282:27414–27423. doi: 10.1074/jbc.M703555200. [DOI] [PubMed] [Google Scholar]
  • 86.Bitoun JP, Wu G, Ding H. 2008. Escherichia coli FtnA acts as an iron buffer for re-assembly of iron-sulfur clusters in response to hydrogen peroxide stress. Biometals 21:693–703. doi: 10.1007/s10534-008-9154-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Coves J, Fontecave M. 1993. Reduction and mobilization of iron by a NAD(P)H:flavin oxidoreductase from Escherichia coli. Eur J Biochem 211:635–641. doi: 10.1111/j.1432-1033.1993.tb17591.x. [DOI] [PubMed] [Google Scholar]
  • 88.Imagawa T, Tsurumura T, Sugimoto Y, Aki K, Ishidoh K, Kuramitsu S, Tsuge H. 2011. Structural basis of free reduced flavin generation by flavin reductase from Thermus thermophilus HB8. J Biol Chem 286:44078–44085. doi: 10.1074/jbc.M111.257824. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Woodmansee AN, Imlay JA. 2002. Reduced flavins promote oxidative DNA damage in non-respiring Escherichia coli by delivering electrons to intracellular free iron. J Biol Chem 277:34055–34066. doi: 10.1074/jbc.M203977200. [DOI] [PubMed] [Google Scholar]
  • 90.Garcia Angulo VA, Bonomi HR, Posadas DM, Serer MI, Torres AG, Zorreguieta A, Goldbaum FA. 2013. Identification and characterization of RibN, a novel family of riboflavin transporters from Rhizobium leguminosarum and other proteobacteria. J Bacteriol 195:4611–4619. doi: 10.1128/JB.00644-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Hernandez ME, Kappler A, Newman DK. 2004. Phenazines and other redox-active antibiotics promote microbial mineral reduction. Appl Environ Microbiol 70:921–928. doi: 10.1128/AEM.70.2.921-928.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Lanz ND, Booker SJ. 2012. Identification and function of auxiliary iron-sulfur clusters in radical SAM enzymes. Biochim Biophys Acta 1824:1196–1212. doi: 10.1016/j.bbapap.2012.07.009. [DOI] [PubMed] [Google Scholar]
  • 93.Xie B-T, Liu Z-Y, Tian L, Li F-L, Chen X-H. 2015. Physiological response of Clostridium ljungdahlii DSM 13528 of ethanol production under different fermentation conditions. Bioresour Technol 177:302–307. doi: 10.1016/j.biortech.2014.11.101. [DOI] [PubMed] [Google Scholar]
  • 94.Liu J, Tan Y, Yang X, Chen X, Li F. 2013. Evaluation of Clostridium ljungdahlii DSM 13528 reference genes in gene expression studies by qRT-PCR. J Biosci Bioeng 116:460–464. doi: 10.1016/j.jbiosc.2013.04.011. [DOI] [PubMed] [Google Scholar]
  • 95.White H, Huber C, Feicht R, Simon H. 1993. On a reversible molybdenum-containing aldehyde oxidoreductase from Clostridium formicoaceticum. Arch Microbiol 159:244–249. doi: 10.1007/BF00248479. [DOI] [Google Scholar]
  • 96.Kisker C, Schindelin H, Rees DC. 1997. Molybdenum-cofactor-containing enzymes: structure and mechanism. Annu Rev Biochem 66:233–267. doi: 10.1146/annurev.biochem.66.1.233. [DOI] [PubMed] [Google Scholar]
  • 97.Kisker C, Schindelin H, Baas D, Rétey J, Meckenstock RU, Kroneck PM. 1998. A structural comparison of molybdenum cofactor-containing enzymes. FEMS Microbiol Rev 22:503–521. doi: 10.1111/j.1574-6976.1998.tb00384.x. [DOI] [PubMed] [Google Scholar]
  • 98.Presta L, Fondi M, Emiliani G, Fani R. 2015. Molybdenum cofactors and their role in the evolution of metabolic pathways, p 15–16. Springer, Dordrecht, Netherlands. [Google Scholar]
  • 99.Zhang Y, Gladyshev VN. 2008. Molybdoproteomes and evolution of molybdenum utilization. J Mol Biol 379:881–899. doi: 10.1016/j.jmb.2008.03.051. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Kawasaki S, Ishikura J, Watamura Y, Niimura Y. 2004. Identification of O2-induced peptides in an obligatory anaerobe, Clostridium acetobutylicum. FEBS Lett 571:21–25. doi: 10.1016/j.febslet.2004.06.047. [DOI] [PubMed] [Google Scholar]
  • 101.Terracciano JS, Rapaport E, Kashket ER. 1988. Stress- and growth phase-associated proteins of Clostridium acetobutylicum. Appl Environ Microbiol 54:1989–1995. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.O'Brien R, Morris J. 1971. Oxygen and the growth and metabolism of Clostridium acetobutylicum. J Gen Microbiol 68:307–318. doi: 10.1099/00221287-68-3-307. [DOI] [PubMed] [Google Scholar]
  • 103.Schuchmann K, Müller V. 2014. Autotrophy at the thermodynamic limit of life: a model for energy conservation in acetogenic bacteria. Nat Rev Microbiol 12:809–821. doi: 10.1038/nrmicro3365. [DOI] [PubMed] [Google Scholar]
  • 104.Outten FW, Djaman O, Storz G. 2004. A suf operon requirement for Fe-S cluster assembly during iron starvation in Escherichia coli. Mol Microbiol 52:861–872. doi: 10.1111/j.1365-2958.2004.04025.x. [DOI] [PubMed] [Google Scholar]
  • 105.Schindelin H, Kisker C, Rajagopalan KV. 2001. Molybdopterin from molybdenum and tungsten enzymes. Adv Protein Chem 58:47–94. doi: 10.1016/S0065-3233(01)58002-X. [DOI] [PubMed] [Google Scholar]
  • 106.Cammack R, Fernandez VM, Schneider K, Lancaster J Jr. 1988. The bioinorganic chemistry of nickel, p 167–190. VCH, New York, NY. [Google Scholar]
  • 107.Kumar M, Colpas GJ, Day RO, Maroney MJ. 1989. Ligand oxidation in a nickel thiolate complex: a model for the deactivation of hydrogenase by oxygen. J Am Chem Soc 111:8323–8325. doi: 10.1021/ja00203a068. [DOI] [Google Scholar]
  • 108.Seefeldt LC, Arp DJ. 1989. Oxygen effects on the nickel- and iron-containing hydrogenase from Azotobacter vinelandii. Biochemistry 28:1588–1596. doi: 10.1021/bi00430a025. [DOI] [Google Scholar]
  • 109.Zainal ZA, Rifau A, Quadir GA, Seetharamu KN. 2002. Experimental investigation of a downdraft biomass gasifier. Biomass Bioenergy 23:283–289. doi: 10.1016/S0961-9534(02)00059-4. [DOI] [Google Scholar]

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