ABSTRACT
Photobiologically synthesized hydrogen (H2) gas is carbon neutral to produce and clean to combust, making it an ideal biofuel. Cyanothece sp. strain ATCC 51142 is a cyanobacterium capable of performing simultaneous oxygenic photosynthesis and H2 production, a highly perplexing phenomenon because H2 evolving enzymes are O2 sensitive. We employed a system-level in vivo chemoproteomic profiling approach to explore the cellular dynamics of protein thiol redox and how thiol redox mediates the function of the dinitrogenase NifHDK, an enzyme complex capable of aerobic hydrogenase activity. We found that NifHDK responds to intracellular redox conditions and may act as an emergency electron valve to prevent harmful reactive oxygen species formation in concert with other cell strategies for maintaining redox homeostasis. These results provide new insight into cellular redox dynamics useful for advancing photolytic bioenergy technology and reveal a new understanding for the biological function of NifHDK.
IMPORTANCE Here, we demonstrate that high levels of hydrogen synthesis can be induced as a protection mechanism against oxidative stress via the dinitrogenase enzyme complex in Cyanothece sp. strain ATCC 51142. This is a previously unknown feature of cyanobacterial dinitrogenase, and we anticipate that it may represent a strategy to exploit cyanobacteria for efficient and scalable hydrogen production. We utilized a chemoproteomic approach to capture the in situ dynamics of reductant partitioning within the cell, revealing proteins and reactive thiols that may be involved in redox sensing and signaling. Additionally, this method is widely applicable across biological systems to achieve a greater understanding of how cells navigate their environment and how redox chemistry can be utilized to alter metabolism and achieve homeostasis.
INTRODUCTION
Advancements in alternative fuel development are essential to alleviating the energy demands of our expanding global population. Hydrogen (H2) gas is a promising carbon-free fuel that can be enzymatically produced by photosynthetic microbes using electrons derived from photosystem II (PSII)-driven water photolysis (1–3). The diazotrophic unicellular cyanobacterium Cyanothece sp. strain ATCC 51142 (referred to here as 51142) utilizes a dinitrogenase complex (NifHDK) to fix N2 from the atmosphere, with H2 as a by-product (4, 5). In the absence of N2, NifHDK can serve as a strict hydrogenase and reduce protons to H2 (Fig. 1) (1). High rates of NifHDK-mediated H2 production can be achieved for long periods of time by manipulating the environment of Cyanothece sp. 51142 (4, 5), but our understanding of the underlying physiological dynamics that facilitate H2 production is limited.
FIG 1.

NifHDK-mediated H2 production. Cyanothece sp. 51142 produces NifHDK, the enzyme complex responsible for high levels of H2 production, even in aerobic environments. Under diazotrophic conditions, the NifHDK complex fixes atmospheric N2 into NH3 and H2. In the absence of N2, NifHDK exclusively reduces protons to H2. Pi, inorganic phosphate.
Cyanobacteria require robust mechanisms for managing redox homeostasis and optimized metabolic rates. While the Calvin-Benson cycle is a major sink for reductant under nonlimiting CO2, there are alternative electron acceptors that act outside the photosynthetic linear electron flow (LEF) to prevent quinone pool hyperreduction. These pathways are important to the cell's ability to protect itself from damage associated with redox imbalance (6–9). The signaling mechanisms that instigate alternative electron flow (AEF) processes to protect the cell from redox imbalance are ill defined (10). We hypothesize that redox-driven processes may provide the signal for multiple AEFs, allowing for flexibility of electron flow in the cell's pursuit to regulate redox homeostasis. Here, we demonstrate NifHDK-driven H2 production as a potentially important AEF strategy employed by Cyanothece sp. 51142 to achieve redox balance, and we illuminate the broad role that redox sensing and signaling may play in a cell experiencing carbon and/or nitrogen limitation that can alter metabolic output.
To characterize the system-level events occurring during sustained photosynthetically supported H2 production, Cyanothece sp. 51142 cells held under an Ar atmosphere were transitioned from N-limited chemostat growth to a N-depleted state and incubated with or without CO2. The cell dynamics were interrogated via a chemical probe-based chemoproteomic technique (11–13) to quantify which specific protein redox dynamics in vivo were correlated with H2 production. Along with identifying the proteins that were reduced and probe labeled throughout each time course, we also used tandem protein cleavage techniques to identify the cysteine(s) responsible for conferring redox reactivity. By evaluating the protein redox profiles in conjunction with H2 production and intracellular reactive oxygen species (ROS), we are able to show that NifHDK activity serves as an emergency electron valve under illuminated, aerobic, and N-depleted conditions. We infer that this attribute of NifHDK transpires when photo-oxidation of H2O exceeds the electron shuttling capacity for the photosynthetic electron transfer apparatus, a feature not previously realized in cyanobacteria. Our analyses also implicate several proteins as having fundamental roles in oxidative stress amelioration under the specified conditions, and they identify an intriguing collection of redox-sensitive proteins that facilitate signal transduction and transcription regulation.
MATERIALS AND METHODS
Media and cultivation conditions.
Cyanothece sp. 51142 cultures were maintained using modified ASP-2 medium (supplemented with 17 mM NH4Cl, 0.03 mM FeCl3, and 0.75 mM K2HPO4) and sparged with air in a photobioreactor (680- and 630-nm light-emitting diode [LED] lighting), operated as previously described (3, 4). Feedback-controlled custom software (BioLume) maintained constant incident and transmitted irradiance at 250 and 10 μmol photons · m−2 · s−1, respectively. Photobioreactors were operated as N-limited chemostats with a 5.5-liter working volume diluted using modified low-N ASP-2 containing 0.75 mM NH4Cl at a 0.05 · h−1 dilution rate at 30°C (pH 7.5) (3, 4). H2 production profiles were initiated by stopping medium flow to the photobioreactor and sparging with either 1.3% (vol/vol) CO2 in Ar gas mixture or pure Ar at 4.08 liters/min. Dissolved O2 and H2 were measured with polarographic sensors, as previously described (4).
CM-H2DCFDA assay for ROS.
The oxidative stress indicator chloromethyl-2′,7′-dichlorofluorescein diacetate (CM-H2DCFDA; Cayman Chemicals) was used to compare ROS levels between time course samplings. Cells were collected from the photobioreactor during each sampled time point, and three aliquots (1 ml) were each treated with 10 mM CM-H2DCFDA freshly dissolved in dimethyl sulfoxide (DMSO; Sigma-Aldrich) to a final concentration of 10 μm. Additionally, three aliquots (1 ml) of cells were treated with 1 μl of DMSO as negative controls for the assay. Cells were transferred in three aliquots of 300 μl to opaque black 96-well plates (Nunc) per sample. Samples were incubated in the dark with intermittent shaking for 30 min at room temperature. Fluorescence was measured at 525 nm after excitation at 488 nm on a SpectraMAX Gemini XPS microplate reader. Replicate relative fluorescent unit (RFU) values for each sampling were averaged, and error bars are included in Fig. 2.
FIG 2.
H2, dissolved O2, ROS, and protein redox profiles display intriguing and dynamic profiles that provide insight into the physiology of Cyanothece sp. 51142 during NifHDK driven H2 production. (A and B) Concentrations (in micromolar) of net H2 and O2 production and general ROS levels. (A) Sparged with pure Ar. (B) Continuous sparging with Ar and 1.3% CO2. Time zero indicates onset of NH4+ depletion and absence of medium addition (dilution rate = 0). Times prior to t of 0 represent NH4+-limited chemostat steady-states. ROS, measured using CM-H2DCFDA assay during specific time points throughout experiment and expressed as relative fluorescent units (RFU). (C and D) IM-RP-labeled proteins (scaled log2 abundances of the averages of three biological replicates) under both culture conditions. Each row represents a single protein, while each column is the average of three biological replicates. The color scheme of the heatmap is as follows: dark blue indicates high levels of reduction, yellow indicates high levels of oxidation, and gray indicates protein thiols were oxidized to a point in which any probe labeling is outside the limit of detection. (C) Four hundred fifteen proteins were probe labeled in the culture sparged with pure Ar. (D) Two hundred seventy-three proteins were labeled in the culture sparged with Ar plus 1.3% CO2. The list of proteins and AMT values can be found in Data Set S1 in the supplemental material.
In vivo labeling with protein redox chemical probes.
Samples were concentrated by vacuum filtration on prewetted 0.45-μm Millipore nylon membranes. Nylon membranes with cells were transferred to 60-ml tissue culture dishes containing 2 ml of medium, 60 μM N-ethylmaleimide redox probe (Mal-RP), and 60 μM iodoacetamide redox probe (IAM-RP). Mal-RP and IAM-RP are cysteine thiol redox-reactive chemical probes, and when used together, as in this study, are referred to as IM-RPs (Fig. 3) (11, 12). Samples were incubated at 30°C in the dark for 60 min. Cells were then transferred to 2-ml conical tubes and centrifuged at 4°C and 4,000 × g for 2 min. Supernatant was removed, and cells were suspended with 1× phosphate-buffered saline (PBS) and centrifuged at 4°C and 4,000 × g for 2 min. This last washing step was repeated twice to remove unreacted probe, and the resulting cell pellets were flash-frozen with liquid nitrogen and stored at −80°C.
FIG 3.
Simplified scheme for using redox probes to label redox-reactive cysteine thiols in vivo. Modified electrophiles iodoacetamide (IAM-RP) and N-ethylmaleimide (Mal-RP) form covalent bonds with cysteine sulfhydryl groups. Both probes include a polyethylene glycol spacer group for enhanced cell permeability and an alkyne handle for click chemistry-mediated addition of reporter/enrichment group. IAM-RP and Mal-RP were multiplexed (IM-RP) and applied directly to live Cyanothece sp. 51142 cells. Following in vivo protein labeling with the probes, cells are washed, lysed, and Cu(I)-catalyzed cycloaddition (click chemistry) was performed to append TEV-biotin-N3 reporter tags to the probe-labeled proteins. Samples were further processed for LC-MS analysis (see Materials and Methods).
In vivo redox probe-labeled protein sample preparation.
Cells were lysed by two rounds of bead beating using 0.1-mm glass beads and a Bullet blender (setting 8 of 10) for 4 min at 4°C. Lysate protein concentrations were measured using the bicinchoninic acid (BCA) protein assay (Pierce), and each sample was adjusted to 360 μg with 1× PBS for normalization prior to subsequent preparation steps. Copper-catalyzed azide/alkyne cycloaddition “click chemistry” was performed as previously described (11) using a Tobacco etch virus (TEV) protease-cleavable azido-biotin tag (TEV-biotin-N3), which includes an amino acid sequence recognized and cleaved by TEV protease. TEV-biotin-N3 (36 μM), tris(2carboxyethyl)phosphine (TCEP) (2.5 mM), tris[(1-benzyl-1H-1,2,3-triazol-4-yl)methyl]amine (TBTA) (250 μM) solubilized in a 4:1 tert-butanol–DMSO mixture, and CuSO4 (50 μM) were added to each sample and the samples were incubated at 24°C for 90 min, thereby connecting probe-labeled samples to TEV-biotin. Samples were then processed for streptavidin affinity purification, trypsin cleavage, and TEV protease cleavage, as previously described (11), with the exception that only 260 μg of protein was enriched on 50 μl of streptavidin agarose resin slurry.
Global abundance proteomic sample preparation.
From each sampling time point, two replicates of Cyanothece sp. 51142 whole-cell lysate (100 μg) were denatured and reduced by adding urea (8 M) and dithiothreitol (10 mM). Samples were incubated at 60°C for 30 min and then diluted 8-fold with NH4HCO3 (100 mM [pH 8.4]) to reduce salt concentration. CaCl2 (1 mM) was added to the diluted samples, and proteins were digested using sequencing grade trypsin (Promega) at a ratio of 1 unit of trypsin per 50 units of protein for 3 h at 37°C. Digested samples were desalted using C18 SPE columns (Supelco). Sample volumes were reduced by vacuum centrifugation and peptide concentrations determined. An equivalent amount of peptides from each sample/replicate was evaluated by liquid chromatography-mass spectrometry (LC-MS).
Redox probe-labeled protein and global abundance LC-MS analysis.
Probe-labeled and no-probe control samples for in vivo experiments (see Data Set S1 in the supplemental material) and the global proteomic sample (see Data Set S3 in the supplemental material) for LC-MS analysis were analyzed using a Velos Orbitrap (Thermo Fisher Scientific) MS interfaced with a reverse-phase high-performance liquid chromatography (HPLC) system for peptide separation (LC-MS), as previously described (11, 14). Data were acquired for 100 min, beginning 65 min after sample injection (15 min into gradient). Velos Orbitrap spectra were collected from m/z 400 to 2,000 at a resolution of 100,000 followed by data-dependent ion trap generation of tandem MS (MS/MS) spectra of the six most abundant ions using 35% collision energy. A dynamic exclusion time of 30 s was used to discriminate against previously analyzed ions.
We employed the accurate mass and time (AMT) tag approach for data analysis. The AMT tag approach utilizes tandem mass spectrometry to generate a reference peptide database (AMT tag database) of observed peptides, their associated theoretical masses, and LC elution times (normalized) (15). This database is utilized to assign peptide sequences to ion current (relative abundance) information of peptides measured using high-resolution high-mass-measurement-accuracy mass spectrometry. Generated MS/MS spectra were searched using the publicly available Cyanothece sp. 51142 translated genome sequence and then rescored using the MS-GF+ approach (16). Identified peptides of ≥6 amino acids in length having an MS-GF score of ≤1E−10, which corresponds to an estimated false-discovery rate (FDR) of <1% at the peptide level, were used to generate an AMT tag database. This database includes LC-MS measurements from in vivo probe-labeled samples and the global proteomic analyses. Measured arbitrary abundance for a particular peptide was determined by integrating the area under each LC-MS peak for the detected feature matching to that peptide. Matched features from each Velos Orbitrap data set were then filtered on an FDR of less than or equal to 1%; the FDR associated with the AMT tag is calculated using Statistical Tools for AMT tag confidence (STAC), a statistical algorithm for assigning confidence to matched mass and elution time features (17). Relative peptide abundance measurements in technical replicates were scaled and normalized to the data set with the least information using linear regression in DAnTE (18). Normalized peptide abundance values were then rolled up to proteins using RRollup; a minimum of five peptides was required for the Grubb's test, with a P value cutoff of 0.05. Only peptides unique in identifying a single protein were utilized to estimate protein abundances. Additionally, proteins represented by <2 unique peptides were removed unless the peptide represented ≤10% protein coverage. If peptides for a given protein were not measured in at least half of the replicates for a given in vivo time point, that protein was removed from further analysis. To identify a protein as specifically labeled by the probes, we required that the probe-labeled protein passed a t test (≤0.1) against the no-probe control replicates.
Analysis of site of labeling data using the MS-GF+ approach.
The tandem MS data were searched using the MS-GF+ function, as previously described (11). Differential modifications of +567.313 (IAM-RP) and +678.345 (Mal-RP) were specified for cysteine probe modifications, and a differential modification of +15.995 was specified for methionine oxidation. Reported peptides including probe modifications on cysteine (see Data Sets S1 and S2 in the supplemental material) were required to have a mass measurement accuracy of the parent ion (MS1) of ±20 ppm. The peptide-level FDR (approximates the MS-GF+ PepQ value) is estimated as the number of unique peptides in the decoy database over the number of unique peptides in the target database. For each unique peptide, the score of the best-scoring peptide spectrum match is used as the score of the peptide. We required the MS-GF+ PepQ value (approximates FDR) to be ≤0.5 (see Data Set S1) but also loosened the criteria to be ≤0.5 to 1 (see Data Set S2).
Accession number(s).
The mass spectrometry proteomics data have been deposited at the ProteomeXchange Consortium via the PRIDE partner repository with the data set identifiers PXD002841 and 10.6019/PXD002841 (http://dx.doi.org/10.6019/PXD002841) (19, 20).
RESULTS AND DISCUSSION
Concurrent oxygenic photosynthesis and H2 production.
The N-depleted and continuously illuminated growth conditions for Cyanothece sp. 51142 described here and in previous studies (3, 4) result in both NifHDK-driven H2 production and photosynthesis. Over the course of our experiments with cultures grown under these conditions, the metabolic dynamics that ensued upon steady-state perturbation (t = 0, Fig. 2A to D) showed strong evidence of cellular redox imbalance in attempt to recalibrate energy metabolism in response to N starvation (Fig. 2C and D). Upon N depletion, the H2 production rate rose immediately, indicating that NifHDK was actively redirecting electrons toward proton reduction, although maximum and average concentrations of H2 were ∼25% less under CO2-depleted conditions (Fig. 2A and B). The rates of oxygenic photosynthesis decreased substantially upon nutrient perturbation, as evidenced from decreased O2 concentrations, which are potentially impacted by respiration and formation of ROS (21). Standing O2 and H2 concentrations, held during constant in-gas sparging of Ar, indicate net-positive rates of photosynthesis occurring concurrently with NifHDK-mediated H2 production (Fig. 2A). Photosynthesis and H2 production acted inversely over time, giving the first clue that NifHDK-driven H2 production may play a role in protecting PSII from photoinhibition. Although not measured here, Melnicki et al. grew Cyanothece sp. 51142 under the same controlled growth conditions and determined that the cells lacked prominent photoinactivation, had stable chlorophyll levels, and maintained robust electron transport capacity (4).
H2 production balances redox during oxidative stress.
In cyanobacteria, if photon capture exceeds electron carrier and electron sink capacities, cellular stress ensues (22). An imbalance between excitation and electron capture and transfer results in electron accumulation that can reduce O2, a by-product of water photolysis, and yield various forms of ROS, including 1O2, O2.−, or H2O2 (23, 24). Under nutrient limitation, cyanobacteria have increased susceptibility to elevated ROS formation due to decreased availability of external (CO2 and N2) and biological (enzymes, NADP+, and plastoquinone [PQ]) electron acceptors (25, 26).
Intracellular ROS levels are temporally dynamic as Cyanothece sp. 51142 adjusts metabolically to N starvation and rebalances the redox state. This effect was measured in vivo by a broad-spectrum ROS-reactive dye (chloromethyl 2′,7′-dichlorodihydrofluorescein diacetate [CM-H2DCFDA]) (Fig. 2A and B). In CO2-replete cultures, ROS levels rose gradually but peaked at 15 h, when H2 concentrations were maximal (Fig. 2B). After this time point, H2 and ROS levels fell but increased later in the sampled time course. These dynamics are potentially due to the rate-limiting features of an N-depleted condition, when nongrowing cells attempt to obtain appropriate C/N ratios (27). Once this metabolically active stationary phase occurs, the electron acceptor capacity decreases, thereby increasing potential for ROS production. After 21 h, the cells likely sense an imbalanced redox environment and reinstigate H2 evolution. Without CO2 available as a primary electron acceptor, photosynthetically produced electrons accumulate early in the time course; thus, ROS reaches the highest measured concentration by the first sampling at 3 h (Fig. 2A). These cells continue to evolve H2 and subsequently ROS decreased to nearly N-limited steady-state levels by 18 h, when H2 levels were maximal. These data clearly show an important correlation between H2 production and ROS formation.
In vivo identification of redox-sensitive proteins.
Cells use complex and elegant protein networks of redox-sensitive proteins to adjust metabolism and proffer antioxidant protection in response to their environment (28). Characterizing Cyanothece sp. 51142 protein redox dynamics during H2 production provided a snapshot into the cells' response to their environment and active reductant allocation (11–13). This was achieved by a chemoproteomic approach utilized to characterize in vivo redox dynamics with cysteine thiol redox-reactive chemical probes (IM-RPs) (Fig. 3). The IM-RPs include N-ethylmaleimide (Mal-RP) and iodoacetamide (IAM-RP) derivatives that cross cell membranes and covalently bind to reduced cysteine thiols directly in live cells, thereby yielding readout of protein redox dynamics under the physiological conditions of the experiment. Probe-labeled proteins are then characterized and quantified by LC-MS-based proteomic analyses (11–13). IM-RPs were applied to live cells over the time course at points corresponding to differing H2 production inflections, and a tandem cleavage technique to characterize cysteine sites of probe labeling was utilized to gain insight into redox-sensitive thiols for labeled proteins (11, 29). Lists of the resulting probe-labeled proteins and sites of cysteine labeling can be found in Data Sets S1 and S2 in the supplemental material.
Probe-labeled protein profiles were dynamic and displayed intriguing patterns (Fig. 2C and D; see also Data Set S1 in the supplemental material for full quantitative results). Under the CO2-depleted condition, proteins were more broadly reduced across the time course experiment, resulting in 415 redox-sensitive probe-labeled proteins; 159 of these proteins were differentially labeled compared to the steady-state samples. In contrast, only 273 proteins were labeled across the same time period under the CO2-replete profile, 89 of which were differentially labeled compared to the steady-state precondition (see Fig. S1 and Data Set S1 in the supplemental material). The difference in the number of proteins undergoing redox events under the two conditions is attributable to CO2 acting as a primary acceptor of photosynthetically derived electrons, resulting in fewer reduced proteins.
The probe-labeled protein data under both conditions revealed a general trend; initially, protein reduction and ROS levels increased, but as H2 levels rose, proteins became more oxidized (Fig. 2C and D). This is likely driven by the depletion of reductant pools by NifHDK-mediated H2, which helps to oxidize the intracellular environment. As H2 levels declined, protein probe labeling increased, indicative of a stronger reducing environment. The exception occurred at the 21-h point under the CO2-replete condition. As H2 levels declined, ROS increased dramatically, and proteins were the most oxidized at this time point, indicating a potential hysteresis effect from oxidative damage (Fig. 2D). In contrast to the general trend of protein redox and H2 production, NifHDK was increasingly reduced during elevated H2 production and more oxidized when H2 levels declined (Fig. 4). Additionally, we identified residue C218 as a site of labeling of NifH and believe it may be involved in sensing the redox environment.
FIG 4.
Enzymes involved in all modes of electron transport were highly represented in the IM-RP-labeled proteins, including those involved in LEF, CEF, respiration, and alternative electron flow. Each row represents a single protein, while each column is the average of three biological replicates (log2, relative abundance values) from the sampled time course. Dark blue coloration indicates high levels of reduction, yellow indicates high levels of oxidation, and gray indicates that protein thiols were oxidized to a point in which any probe labeling is outside the limit of detection. N- and CO2-depleted columns are the culture sparged with pure Ar (left), and N-depleted columns are the culture sparged with Ar and 1.3% CO2 (right).
These collective results support a relationship between NifHDK-mediated H2 production and ROS alleviation, highlighting the essential function of cyanobacterial NifHDK as a sink of reductant to mitigate ROS stress. This concept is in accordance with a study that found that the heterocyst-forming diazotrophic cyanobacterium Anabaena sp. strain PCC 7120 had nifHDK transcription induced under an iron-depleted condition that made cells susceptible to oxidative stress from ROS (26, 30). Subsequently, we believe NifHDK is expressed as an ROS-mitigating redox-balancing activity in Anabaena sp. PCC 7120, similar to what we observed here for Cyanothece sp. 51142. Additionally, studies in purple nonsulfur bacteria have shown that when CO2 fixation is blocked, dinitrogenase is expressed under N-replete conditions to allow for the oxidation of NADH so metabolism can proceed under balanced redox conditions (31, 32).
Photosynthetic electron transfer during nutrient limitation.
The IM-RP labeling of proteins involved in linear, cyclic, and alternative electron flow (LEF, CEF, and AEF, respectively), respiration, and antioxidant strategies displays diverse trends (Fig. 4). It is vital that cells can initiate fast and flexible adjustments to electron flow during nutrient limitation (7, 10). Labeling of proteins involved for each of these processes has distinct implications on the redox state of Cyanothece sp. 51142, as LEF, CEF, and respiration processes result in net-positive, net-zero, and net-negative formation of reducing equivalent, respectively. LEF transports electrons for CO2 fixation, while CEF around PSI is thought to balance the ATP/NADPH budget of photosynthesis (10), and respiratory enzymes obtain electrons from carbohydrate catabolism and deliver electrons to plastoquinone (PQ) (Fig. 5) (33, 34). AEF proteins include the family A flavoproteins (Flv1 to Flv4), which remove electrons from LEF to prevent cell overreduction (6, 35), and thioredoxins, ubiquitous enzymes with a conserved disulfide motif, which reduce proteins for myriad purposes, including activation, regulation, and reducing antioxidants, such as peroxiredoxin (28, 36). Last, hydrogenases, including Hox, Hup, and NifHDK, can all reduce protons to H2 (1, 6). Hox and Hup are not identified in either IM-RP or global protein data, consistent with a previous study of aerobic H2 production in Cyanothece sp. 51142 (37). If NifHDK-mediated H2 production operates as a sink for excess electrons from the cell to protect it from redox imbalance, the activity of bidirectional hydrogenase-driven electron scavenging would be counterproductive.
FIG 5.
Electron transport and partitioning in Cyanothece sp. 51142. Enzymes in red were labeled by IM-RP; enzymes in black were only found in the global proteomics data. Protein involved in photosynthetic electron transfer are represented as yellow shapes. Electrons flow from photosystem II (PSII) to photosystem I (PSI) through plastoquinone (PQ) to cytochrome b6/f complex (Cyt b/6f), cytochrome c6 (Cyt c6), or plastocyanin (PC), and then PSI. From PSI, electrons are transferred to ferredoxin (Fd), ferredoxin:NADP+ reductase (FNR), and then NADP+. NADPH is used for CO2 fixation (when CO2 is available) and other metabolic processes. In cyclic photosynthetic electron transport, electrons can flow from Fd to PQ, or NDH to PQ. Proteins involved in respiratory electron transfer to PQ are represented as orange shapes. NADH dehydrogenases (NDH) and succinate dehydrogenase (SDH) can supply the PQ pool with electrons derived from carbohydrate catabolism. Cytochrome oxidase (COX) can be reduced by Cytc6/PC and reduce O2 to H2O. Proteins involved in alternative electron acceptors are represented as purple shapes. Flavodoxin (Flv) 1/3 performs a modified Mehler reaction by reducing O2 directly to H2O. Thioredoxin reduces superoxide dismutase (SOD), which can then convert O2− to O2 or H2O2. Thioredoxin also reduces peroxiredoxin (Prx), which can then convert H2O2 to H2O, and (Fd) reduces dinitrogenase (NifHDK) to fix N2 into NH3, or in the absence of N2, to reduce protons to H2, which can effectively prevent overreduction of the cell and ROS formation by diffusing excess e− out of the cell as H2.
Little is known about the signaling mechanism behind the induction of electron flow strategies, although recently, Strand et al. found that elevated H2O2 activated CEF in plants either directly through redox modulation of enzymes, or indirectly by affecting other photosynthetic processes (10). NADP(H) dehydrogenase 1 (NDH1) was implicated as a potential target because NDH1-deficient mutants did not have elevated levels of CEF following in vivo H2O2 treatments, and because NDH transcript levels increased post-H2O2 treatments in wild-type study organisms (10, 38). Protein redox and ROS signaling are both viable candidates for quick and reversible activation of any of the AEFs during environmental perturbation and nutrient flux. Redox probe chemoproteomic results showed NifHDK, thioredoxins (TrxA and TrxB), peroxiredoxin (cce_3126), and subunits of NADP(H) dehydrogenase (NDH1) as having highly reduced patterns in both time course studies, while ferredoxin-NAD(P)H-reductase (FNR/PetH) and cytochrome b6/f subunit (PetB) were highly reduced under the CO2-depleted condition (Fig. 4). These trends may be due to two potential physiological features: (i) heavily reduced proteins might signify the cells' reductant allocation strategy, or (ii) heavily reduced proteins might point toward enzymes that create or are affected by electron build-up due to bottlenecks within electron flows. These bottlenecks may occur at various degrees along the electron transport chain, including the slow diffusion of PQ, translocation to PetB, the turnover of ATP synthase, or from dissymmetry of the 3:1 ATP and NADPH stoichiometric requirements for the Calvin-Benson cycle (7).
Cellular tactics and strategies for dealing with ROS.
ROS form during photosynthesis when the intensity of light-driven electron transport outpaces the rate of electron consumption. This is especially problematic during nutrient limitation, which creates redox imbalance due to the overreduction of electron transport proteins (9, 22, 26). Under the specified culture conditions, the flavoprotein Flv1-Flv3 heterodimer (Flv1/3) appears to be another vital enzyme working to balance redox in Cyanothece sp. 51142. This complex reduces PSII-evolved O2 directly to H2O in a modified Mehler reaction (35, 39, 40) and may work to achieve a less oxic environment, allowing for NifHDK to function in aerobic environments. Allahverdiyeva et al. found that Flv1/3 used ∼20% of the PSII-generated electrons to reduce O2 to H2O under normal conditions, but these rates increased to 60% under extreme CO2 limitation (41). Flv1 and Flv3 were identified in every time point under both conditions in the global protein data (see Data Set S3 in the supplemental material), while Flv3 was labeled by IM-RP, and a site of labeling was identified (residue C410) (see Data Set S1 in the supplemental material); these observations allude to the possibility of regulation of Flv1/3 through redox events sensed by Flv3. Ermakova et al. demonstrated that Flv3b, a heterocyst-specific flavodoxin, enables nitrogenase activity in oxic environments in heterocysts (42); this finding supports our own involving Flv3.
Additionally, superoxide dismutase (SOD) was highly abundant in the global protein abundance data (see Data Set S3 in the supplemental material), as was the peroxiredoxin cce_3126, which plays a significant role in Cyanothece sp. 51142 ROS alleviation under diazotrophic conditions (37). cce_3126 remained highly reduced, as confirmed by probe labeling, signifying that it was actively poised in a reduced state. Two sites of labeling were also identified (residues C141 and C156) for this peroxiredoxin.
Intracellular communication and the role of redox reactions.
It is proposed that redox-dependent signaling is the core of photosynthetic regulation, and that other control mechanisms either function in conjunction with redox control or act as ancillary measures modulating redox signaling pathways (43). A substantial group of enzymes responsible for sensing and regulating metabolic activity or transcription were labeled by the probes (see Table S1 in the supplemental material), indicating that redox sensitivity may be a molecular feature for sensing the environment or receiving signals prior to performing regulatory functions.
As described earlier, we labeled multiple thioredoxins with IM-RP; these enzymes play diverse roles in regulating protein function. We evaluated the protein-protein interactions for the m-type thioredoxin, TrxA, using STRING (44), and the results were cross-analyzed with the IM-RP-labeled protein data. Each of the TrxA interaction partners was labeled by IM-RP (the dynamic redox profiles for these interaction partners can be found in Fig. S2 in the supplemental material). Proteins involved in more specific regulatory or signaling roles and identified by IM-RP include the regulator RpaB, which has been shown to decrease the efficiency of energy transfer from the phycobilisomes to PSII relative to PSI in Synechocystis sp. PCC 6803 (45). The transcription regulator cyAbrB (cce_0453) was only probe labeled in the C-depleted experiments. This protein has been implicated in multiple roles, including in modulation of the expression of genes involved in low CO2 uptake (46) and the repression of Hox activity in Synechocystis sp. PCC 6803 (47, 48). The regulator CalA (cce_3240) was labeled in both experiments and has been shown to repress the transcription of hypC, which is required for synthesis of a functional hydrogenase (49). As previously mentioned, the hydrogenases Hox and Hup were not identified in the global or probe-labeled protein data.
Conclusion.
Herein, we present experimental evidence demonstrating an extension for the biological function of the dinitrogenase NifHDK as an enzyme capable of providing protection from oxidative stress by helping to balance the redox state of Cyanothece sp. 51142. In order to study cellular redox profiles during H2 production, Cyanothece sp. 51142 was grown under N-starved photosynthetic conditions. H2 production was sustained for over 40 h, and the ROS levels and protein redox profiles were captured throughout the time course by chemoproteomics and correlative measurements. In general, the redox imbalance of the cell caused by photosynthetic water splitting exceeding electron carrier capacity, a condition exasperated by nutrient limitation, extended broadly to proteins sensitive to redox and also increased ROS levels as O2 was reduced to harmful intermediates. In response to this situation, our results indicate that NifHDK produced H2 to oxidize the overly reduced intracellular environment, thereby permitting continued metabolic reactions and protection from ROS damage. Furthermore, our data provide evidence that multiple transcription and activity regulators are redox sensitive, and future analysis could illuminate specific signaling strategies in Cyanothece sp. 51142 that may be key to cell metabolism. Cyanothece sp. 51142 uses an array of strategies to maintain redox homeostasis during nutrient limitation; diverting and manipulating photosynthetic electron flow could prove to be a potential strategy for increasing photobiological H2 production for biofuel technology development. Finally, our probe data reveal redox dynamics and Cys sites of probe labeling indicating a likely modulation of NifHDK activity by redox, a feature that may become useful for engineering efficient H2 production with improved output.
Supplementary Material
Funding Statement
This research was supported by the Genomic Science Program of the U.S. DOE-OBER and is a contribution of the PNNL Biofuels and Foundational Scientific Focus Areas. MS-based proteomic measurements used capabilities developed partially under the GSP Panomics project; MS-based measurements and microscopy were performed in the Environmental Molecular Sciences Laboratory, a national scientific user facility sponsored by OBER at PNNL.
Footnotes
Supplemental material for this article may be found at http://dx.doi.org/10.1128/AEM.02098-16.
REFERENCES
- 1.Ghirardi ML, Dubini A, Yu J, Maness PC. 2009. Photobiological hydrogen-producing systems. Chem Soc Rev 38:52–61. doi: 10.1039/B718939G. [DOI] [PubMed] [Google Scholar]
- 2.Gupta SK, Kumari S, Reddy K, Bux F. 2013. Trends in biohydrogen production: major challenges and state-of-the-art developments. Environ Technol 34:1653–1670. doi: 10.1080/09593330.2013.822022. [DOI] [PubMed] [Google Scholar]
- 3.Bernstein HC, Charania MA, McClure RS, Sadler NC, Melnicki MR, Hill EA, Markillie LM, Nicora CD, Wright AT, Romine MF, Beliaev AS. 2015. Multi-omic dynamics associate oxygenic photosynthesis with nitrogenase-mediated H2 production in Cyanothece sp. ATCC 51142. Sci Rep 5:16004. doi: 10.1038/srep16004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Melnicki MR, Pinchuk GE, Hill EA, Kucek LA, Fredrickson JK, Konopka A, Beliaev AS. 2012. Sustained H2 production driven by photosynthetic water splitting in a unicellular cyanobacterium. mBio 3(4):e00197-12. doi: 10.1128/mBio.00197-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Bandyopadhyay A, Stockel J, Min H, Sherman LA, Pakrasi HB. 2010. High rates of photobiological H2 production by a cyanobacterium under aerobic conditions. Nat Commun 1:139. doi: 10.1038/ncomms1139. [DOI] [PubMed] [Google Scholar]
- 6.Mullineaux CW. 2014. Electron transport and light-harvesting switches in cyanobacteria. Front Plant Sci 5:7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Eberhard S, Finazzi G, Wollman FA. 2008. The dynamics of photosynthesis. Annu Rev Genet 42:463–515. doi: 10.1146/annurev.genet.42.110807.091452. [DOI] [PubMed] [Google Scholar]
- 8.Sadler NC, Wright AT. 2015. Activity-based protein profiling of microbes. Curr Opin Chem Biol 24:139–144. doi: 10.1016/j.cbpa.2014.10.022. [DOI] [PubMed] [Google Scholar]
- 9.Pospišil P. 2012. Molecular mechanisms of production and scavenging of reactive oxygen species by photosystem II. Biochim Biophys Acta 1817:218–231. doi: 10.1016/j.bbabio.2011.05.017. [DOI] [PubMed] [Google Scholar]
- 10.Strand DD, Livingston AK, Satoh-Cruz M, Froehlich JE, Maurino VG, Kramer DM. 2015. Activation of cyclic electron flow by hydrogen peroxide in vivo. Proc Natl Acad Sci U S A 112:5539–5544. doi: 10.1073/pnas.1418223112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Sadler NC, Melnicki MR, Serres MH, Merkley ED, Chrisler WB, Hill EA, Romine MF, Kim S, Zink EM, Datta S, Smith RD, Beliaev AS, Konopka A, Wright AT. 2014. Live cell chemical profiling of temporal redox dynamics in a photoautotrophic cyanobacterium. ACS Chem Biol 9:291–300. doi: 10.1021/cb400769v. [DOI] [PubMed] [Google Scholar]
- 12.Ansong C, Sadler NC, Hill EA, Lewis MP, Zink EM, Smith RD, Beliaev AS, Konopka AE, Wright AT. 2014. Characterization of protein redox dynamics induced during light-to-dark transitions and nutrient limitation in cyanobacteria. Front Microbiol 5:325. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Wright AT, Magnaldo T, Sontag RL, Anderson LN, Sadler NC, Piehowski PD, Gache Y, Weber TJ. 2015. Deficient expression of aldehyde dehydrogenase 1A1 is consistent with increased sensitivity of Gorlin syndrome patients to radiation carcinogenesis. Mol Carcinog 54:473–484. doi: 10.1002/mc.22115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Kelly RT, Page JS, Luo Q, Moore RJ, Orton DJ, Tang K, Smith RD. 2006. Chemically etched open tubular and monolithic emitters for nanoelectrospray ionization mass spectrometry. Anal Chem 78:7796–7801. doi: 10.1021/ac061133r. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Smith RD, Anderson GA, Lipton MS, Masselon C, Pasa-Tolic L, Shen Y, Udseth HR. 2002. The use of accurate mass tags for high-throughput microbial proteomics. OMICS 6:61–90. doi: 10.1089/15362310252780843. [DOI] [PubMed] [Google Scholar]
- 16.Kim S, Pevzner PA. 2014. MS-GF+ makes progress towards a universal database search tool for proteomics. Nat Commun 5:5277. doi: 10.1038/ncomms6277. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Stanley JR, Adkins JN, Slysz GW, Monroe ME, Purvine SO, Karpievitch YV, Anderson GA, Smith RD, Dabney AR. 2011. A statistical method for assessing peptide identification confidence in accurate mass and time tag proteomics. Anal Chem 83:6135–6140. doi: 10.1021/ac2009806. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Polpitiya AD, Qian WJ, Jaitly N, Petyuk VA, Adkins JN, Camp DG Jr, Anderson GA, Smith RD. 2008. DAnTE: a statistical tool for quantitative analysis of -omics data. Bioinformatics 24:1556–1558. doi: 10.1093/bioinformatics/btn217. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Vizcaino JA, Cote RG, Csordas A, Dianes JA, Fabregat A, Foster JM, Griss J, Alpi E, Birim M, Contell J, O'Kelly G, Schoenegger A, Ovelleiro D, Perez-Riverol Y, Reisinger F, Rios D, Wang R, Hermjakob H. 2013. The PRoteomics IDEntifications (PRIDE) database and associated tools: status in 2013. Nucleic Acids Res 41:D1063–D1069. doi: 10.1093/nar/gks1262. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Vizcaíno JA, Deutsch EW, Wang R, Csordas A, Reisinger F, Rios D, Dianes JA, Sun Z, Farrah T, Bandeira N, Binz PA, Xenarios I, Eisenacher M, Mayer G, Gatto L, Campos A, Chalkley RJ, Kraus HJ, Albar JP, Martinez-Bartolome S, Apweiler R, Omenn GS, Martens L, Jones AR, Hermjakob H. 2014. ProteomeXchange provides globally coordinated proteomics data submission and dissemination. Nat Biotechnol 32:223–226. doi: 10.1038/nbt.2839. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Falkowski PG, Godfrey LV. 2008. Electrons, life and the evolution of Earth's oxygen cycle. Philos Trans R Soc Lond B Biol Sci 363:2705–2716. doi: 10.1098/rstb.2008.0054. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Derks A, Schaven K, Bruce D. 2015. Diverse mechanisms for photoprotection in photosynthesis. Dynamic regulation of photosystem II excitation in response to rapid environmental change. Biochim Biophys Acta 1847:468–485. [DOI] [PubMed] [Google Scholar]
- 23.Roach T, Krieger-Liszkay A. 2014. Regulation of photosynthetic electron transport and photoinhibition. Curr Protein Pept Sci 15:351–362. doi: 10.2174/1389203715666140327105143. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Asada K. 2006. Production and scavenging of reactive oxygen species in chloroplasts and their functions. Plant Physiol 141:391–396. doi: 10.1104/pp.106.082040. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Collier JL, Herbert SK, Fork DC, Grossman AR. 1994. Changes in the cyanobacterial photosynthetic apparatus during acclimation to macronutrient deprivation. Photosynth Res 42:173–183. doi: 10.1007/BF00018260. [DOI] [PubMed] [Google Scholar]
- 26.Latifi A, Ruiz M, Zhang CC. 2009. Oxidative stress in cyanobacteria. FEMS Microbiol Rev 33:258–278. doi: 10.1111/j.1574-6976.2008.00134.x. [DOI] [PubMed] [Google Scholar]
- 27.Konopka A, Schnur M. 1981. Biochemical composition and photosynthetic carbon metabolism of nutrient limited cultures of Merismopedia tenuissima (Cyanophyceae). J Phycol 17:118–122. doi: 10.1111/j.1529-8817.1981.tb00829.x. [DOI] [Google Scholar]
- 28.Jakob U, Reichmann D. 2013. Oxidative stress and redox regulation. Springer, Dordrecht, the Netherlands. [Google Scholar]
- 29.Deng X, Weerapana E, Ulanovskaya O, Sun F, Liang H, Ji Q, Ye Y, Fu Y, Zhou L, Li J, Zhang H, Wang C, Alvarez S, Hicks LM, Lan L, Wu M, Cravatt BF, He C. 2013. Proteome-wide quantification and characterization of oxidation-sensitive cysteines in pathogenic bacteria. Cell Host Microbe 13:358–370. doi: 10.1016/j.chom.2013.02.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Razquin P, Schmitz S, Fillat MF, Peleato ML, Bohme H. 1994. Transcriptional and translational analysis of ferredoxin and flavodoxin under iron and nitrogen stress in Anabaena sp. strain Pcc-7120. J Bacteriol 176:7409–7411. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Joshi HM, Tabita FR. 1996. A global two component signal transduction system that integrates the control of photosynthesis, carbon dioxide assimilation, and nitrogen fixation. Proc Natl Acad Sci U S A 93:14515–14520. doi: 10.1073/pnas.93.25.14515. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.McKinlay JB, Harwood CS. 2010. Carbon dioxide fixation as a central redox cofactor recycling mechanism in bacteria. Proc Natl Acad Sci U S A 107:11669–11675. doi: 10.1073/pnas.1006175107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Vermaas WFJ. 2001. Photosynthesis and respiration in cyanobacteria. eLS doi: 10.1038/npg.els.0001670 [DOI] [Google Scholar]
- 34.Vu TT, Stolyar SM, Pinchuk GE, Hill EA, Kucek LA, Brown RN, Lipton MS, Osterman A, Fredrickson JK, Konopka AE, Beliaev AS, Reed JL. 2012. Genome-scale modeling of light-driven reductant partitioning and carbon fluxes in diazotrophic unicellular cyanobacterium Cyanothece sp. ATCC 51142. PLoS Comput Biol 8:e1002460. doi: 10.1371/journal.pcbi.1002460. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Zhang P, Eisenhut M, Brandt AM, Carmel D, Silen HM, Vass I, Allahverdiyeva Y, Salminen TA, Aro EM. 2012. Operon flv4-flv2 provides cyanobacterial photosystem II with flexibility of electron transfer. Plant Cell 24:1952–1971. doi: 10.1105/tpc.111.094417. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Cejudo FJ, Meyer AJ, Reichheld JP, Rouhier N, Traverso JA. 2014. Thiol-based redox homeostasis and signaling. Front Plant Sci 5:266. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Aryal UK, Callister SJ, Mishra S, Zhang X, Shutthanandan JI, Angel TE, Shukla AK, Monroe ME, Moore RJ, Koppenaal DW, Smith RD, Sherman L. 2013. Proteome analyses of strains ATCC 51142 and PCC 7822 of the diazotrophic cyanobacterium Cyanothece sp. under culture conditions resulting in enhanced H2 production. Appl Environ Microbiol 79:1070–1077. doi: 10.1128/AEM.02864-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Casano LM, Martin M, Sabater B. 2001. Hydrogen peroxide mediates the induction of chloroplastic Ndh complex under photooxidative stress in barley. Plant Physiol 125:1450–1458. doi: 10.1104/pp.125.3.1450. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Helman Y, Tchernov D, Reinhold L, Shibata M, Ogawa T, Schwarz R, Ohad I, Kaplan A. 2003. Genes encoding A-type flavoproteins are essential for photoreduction of O2 in cyanobacteria. Curr Biol 13:230–235. doi: 10.1016/S0960-9822(03)00046-0. [DOI] [PubMed] [Google Scholar]
- 40.Allahverdiyeva Y, Mustila H, Ermakova M, Bersanini L, Richaud P, Ajlani G, Battchikova N, Cournac L, Aro EM. 2013. Flavodiiron proteins Flv1 and Flv3 enable cyanobacterial growth and photosynthesis under fluctuating light. Proc Natl Acad Sci U S A 110:4111–4116. doi: 10.1073/pnas.1221194110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Allahverdiyeva Y, Ermakova M, Eisenhut M, Zhang P, Richaud P, Hagemann M, Cournac L, Aro EM. 2011. Interplay between flavodiiron proteins and photorespiration in Synechocystis sp. PCC 6803. J Biol Chem 286:24007–24014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Ermakova M, Battchikova N, Richaud P, Leino H, Kosourov S, Isojarvi J, Peltier G, Flores E, Cournac L, Allahverdiyeva Y, Aro EM. 2014. Heterocyst-specific flavodiiron protein Flv3B enables oxic diazotrophic growth of the filamentous cyanobacterium Anabaena sp. PCC 7120. Proc Natl Acad Sci U S A 111:11205–11210. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Oelze ML, Kandlbinder A, Dietz KJ. 2008. Redox regulation and overreduction control in the photosynthesizing cell: complexity in redox regulatory networks. Biochim Biophys Acta 1780:1261–1272. doi: 10.1016/j.bbagen.2008.03.015. [DOI] [PubMed] [Google Scholar]
- 44.Szklarczyk D, Franceschini A, Wyder S, Forslund K, Heller D, Huerta-Cepas J, Simonovic M, Roth A, Santos A, Tsafou KP, Kuhn M, Bork P, Jensen LJ, von Mering C. 2015. STRING v10: protein-protein interaction networks, integrated over the tree of life. Nucleic Acids Res 43:D447–D452. doi: 10.1093/nar/gku1003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Ashby MK, Mullineaux CW. 1999. Cyanobacterial ycf27 gene products regulate energy transfer from phycobilisomes to photosystems I and II. FEMS Microbiol Lett 181:253–260. doi: 10.1111/j.1574-6968.1999.tb08852.x. [DOI] [PubMed] [Google Scholar]
- 46.Lieman-Hurwitz J, Haimovich M, Shalev-Malul G, Ishii A, Hihara Y, Gaathon A, Lebendiker M, Kaplan A. 2009. A cyanobacterial AbrB-like protein affects the apparent photosynthetic affinity for CO2 by modulating low-CO2-induced gene expression. Environ Microbiol 11:927–936. doi: 10.1111/j.1462-2920.2008.01818.x. [DOI] [PubMed] [Google Scholar]
- 47.Ishii A, Hihara Y. 2008. An AbrB-like transcriptional regulator, Sll0822, is essential for the activation of nitrogen-regulated genes in Synechocystis sp. PCC 6803. Plant Physiol 148:660–670. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Dutheil J, Saenkham P, Sakr S, Leplat C, Ortega-Ramos M, Bottin H, Cournac L, Cassier-Chauvat C, Chauvat F. 2012. The AbrB2 autorepressor, expressed from an atypical promoter, represses the hydrogenase operon to regulate hydrogen production in Synechocystis strain PCC6803. J Bacteriol 194:5423–5433. doi: 10.1128/JB.00543-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Agervald A, Zhang X, Stensjo K, Devine E, Lindblad P. 2010. CalA, a cyanobacterial AbrB protein, interacts with the upstream region of hypC and acts as a repressor of its transcription in the cyanobacterium Nostoc sp. strain PCC 7120. Appl Environ Microbiol 76:880–890. doi: 10.1128/AEM.02521-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.




