research communications
The structure of Synechococcus elongatus enolase reveals key aspects of phosphoenolpyruvate binding
aInstituto de Bionanotecnología del NOA (INBIONATEC–CONICET), Universidad Nacional de Santiago del Estero (UNSE), RN9, Km1125, G4206XCP Santiago del Estero, Argentina, and bBioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
*Correspondence e-mail: javierg@conicet.gov.ar, cju@lanl.gov
A structure–function characterization of Synechococcus elongatus enolase (SeEN) is presented, representing the first structural report on a cyanobacterial enolase. X-ray crystal structures of SeEN in its apoenzyme form and in complex with phosphoenolpyruvate are reported at 2.05 and 2.30 Å resolution, respectively. SeEN displays the typical fold of enolases, with a conformationally flexible loop that closes the active site upon substrate binding, assisted by two metal ions that stabilize the negatively charged groups. The enzyme exhibits a catalytic efficiency of 1.2 × 105 M−1 s−1 for the dehydration of 2-phospho-D-glycerate, which is comparable to the kinetic parameters of related enzymes. These results expand the understanding of the biophysical features of these enzymes, broadening the toolbox for metabolic engineering applications.
Keywords: enolases; Synechococcus elongatus; cyanobacteria; phosphoenolpyruvate.
1. Introduction
Photosynthetic unicellular microorganisms have been proposed as convenient, cost-effective, carbon-neutral sources for biomass production (Udayan et al., 2022; Alishah Aratboni et al., 2019). Microbial factories based on algae or cyanobacteria offer several advantages over biomass production from higher plants, including the following: (i) microbes may be cultured in pools located in arid uncultivable lands, (ii) microbes exhibit fast growth rates, (iii) unlike lignocellulosic biomass from plants, microbes do not require harsh and costly extraction processes, and (iv) microbes can be genetically engineered with relative ease in order to drive biomass production towards value-added chemicals (Gong et al., 2017; Claassens et al., 2016; Scott et al., 2010). Consequently, a comprehensive understanding of cyanobacterial metabolism, including structural and functional aspects of key enzymes, is required in order to take full advantage of synthetic metabolism for biomass production. Here, we present a structural and functional study of enolase from the cyanobacterium Synechococcus elongatus PCC 7942, a workhorse cyanobacterial strain for engineering of photoautotrophic metabolism (Kanno & Atsumi, 2017; Lan et al., 2015). Enolases catalyse the reversible dehydration of 2-phospho-D-glycerate (2PGA) into phosphoenolpyruvate (PEP), an energy-rich phosphoester central to several bioenergetic and biosynthetic metabolic pathways. We show that S. elongatus enolase (SeEN) displays a typical catalytic efficiency of the order of 105 M−1 s−1, as well as a characteristic three-dimensional fold where a flexible loop closes the active site following substrate binding, ensuring the proper environment for catalysis. These results broaden our understanding of the structure and function of metabolic enzymes available for metabolic engineering applications.
2. Materials and methods
2.1. Gene cloning, expression and protein purification
All chemicals and coupling enzymes were obtained from Sigma–Aldrich unless otherwise stated. The oligonucleotide-synthesis and DNA-sequencing reactions were performed by Genewiz Inc. The pET-42a(+) expression vector was purchased from Novagen. Escherichia coli Arctic Express (DE3) competent cells were acquired from Stratagene. SeEN was synthesized and subcloned into pET-42a(+) by Genewiz Inc. with codon usage optimized for protein expression in E. coli. The NdeI and XhoI cloning sites were used to obtain a clone expressing SeEN with an 8×His tag at the C-terminus of the protein (Table 1). The expression vector encoding SeEN was transformed into E. coli Arctic Express (DE3) competent cells and cultured in liquid LB or LB–agar plates supplemented with 50 µg ml–1 kanamycin. A single colony was cultured overnight (∼16 h) in 25 ml LB with 50 µg ml−1 kanamycin, and 20 ml was then used to inoculate 2 l of the same medium. Cell cultures were grown at 37°C under shaking to an OD600 nm of ∼0.6, after which the temperature was decreased to 16°C and induction was initiated by the addition of isopropyl β-D-1-thiogalactopyranoside to a final concentration of 1.0 mM. The culture was then incubated overnight at 16°C. The bacterial cells were harvested by centrifugation at 7000g for 10 min at 4°C. The pellet was washed and resuspended in 20 mM sodium phosphate, 50 mM NaCl, 5 mM imidazole pH 7.4 (buffer A). 5 µg ml−1 DNAse and 0.1 mg ml−1 phenylmethylsulfonyl fluoride protease inhibitor were added to buffer A before cell disruption by sonication. The soluble protein was separated from the cell debris by centrifugation at 12 000g for 30 min at 4°C and then loaded onto two 5 ml HisTrap columns connected in tandem and equilibrated with buffer A. SeEN was eluted with a linear gradient of buffer A and 50% buffer B in ten column volumes, where buffer B comprises buffer A plus 500 mM imidazole. Fractions containing SeEN were pooled, concentrated, loaded onto a HiLoad 26/60 Superdex 200 preparative-grade gel-filtration column (GE Healthcare) and eluted with 20 mM HEPES, 50 mM NaCl pH 7.2 (buffer C). The purity of the protein during the isolation procedure was checked by SDS–PAGE using Kaleidoscope pre-stained standards (molecular weight 7.6–216 kDa; Bio-Rad).
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2.2. Protein molecular-weight estimation
A Tricorn 5/150 column (GE Healthcare) was filled with Superdex 200 prep-grade resin and equilibrated with buffer consisting of 50 mM Tris–HCl, 50 mM NaCl pH 8.0. The column was calibrated with a 12–200 kDa molecular-weight kit for gel-filtration (Sigma–Aldrich). To determine the elution volume of each protein in the kit and of SeEN, the protein standards were dissolved in equilibration buffer to a final concentration of 1 mg ml−1 and SeEN was diluted to 1 mg ml−1. 100 µl of each protein was injected into the column. The size of purified SeEN was then estimated through interpolation in the calibration curve.
2.3. Steady-state kinetic assays
The SeEN for the dehydration of 2-phospho-D-glycerate (2PGA) was followed by coupling the production of phosphoenolpyruvate (PEP) to the oxidation of NADH using pyruvate kinase (PyrKin) and alanine dehydrogenase (ALDH). In this assay, the enolase dehydrates 2PGA to PEP, which is used to phosphorylate ADP to ATP using PyrKin, producing pyruvate. Next, pyruvate is reduced to alanine by ALDH using NADH, the concentration decay of which is followed spectrophotometrically at 340 nm using a Synergy H4 hybrid microplate reader (BioTek Instruments). The standard assay consisted of 100 mM HEPES pH 8.0, 100 mM KCl, 1.0 mM MgCl2, 1.2 mM ADP, 54 µg ml−1 ALDH, 7.5 µg ml−1 PyrKin, 0.64 mM NADH, 1.0 µg ml−1 SeEN and 2PGA in a final volume of 250 µl at 30°C. The steady-state kinetic parameters, kcat and Km, were determined by the initial rates method, fitting velocity data to the standard Michaelis–Menten equation.
of2.4. Crystallization
Crystals of SeEN were grown using the sitting-drop vapour-diffusion method in 96-3 IntelliPlate trays (Art Robbins Instruments; Table 2). Drops consisted of 1.0 µl of a 1:1 mixture of protein sample (25 mg ml−1 in 10 mM HEPES pH 8, 20 mM NaCl) and reservoir solution prepared with an Oryx8 liquid pipettor robot (Douglas Instruments). Initial hits appeared after 3–4 days of incubation at 20°C in a medium consisting of 0.1 M HEPES pH 7.5, 10–15%(w/v) PEG 200, 0.15–0.2 M calcium acetate (mother liquor). Crystals were mounted in nylon loops (Hampton Research) and flash-cooled in liquid nitrogen using 7 M sodium formate pH 7.0 as a cryoprotectant. In order to obtain the complex with PEP, crystals were soaked in a solution of mother liquor with 50 mM PEP at pH 7.4 for 30 min, cryoprotected in 7 M sodium formate at pH 7.0 and flash-cooled in liquid nitrogen.
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2.5. Data collection, processing and structure solution
Diffraction data for apo SeEN were collected remotely on beamline BL7-1 at Stanford Synchrotron Radiation Light Source (SSRL) and data for the PEP complex were collected on beamline 08ID-1 at the Canadian Light Source (CLS) (Table 3). Reflections were indexed and integrated with XDS (Kabsch, 2010) and iMosflm (Battye et al., 2011), while data scaling and truncation was conducted with AIMLESS (Evans & Murshudov, 2013). The structure was solved by using Phaser (McCoy et al., 2007). The structure of enolase from E. coli (PDB entry 1e9i; Kühnel & Luisi, 2001), which shares 62% sequence identity with SeEN, was used as a search model, where all noncovalently bound ligands, alternate conformers and solvent molecules were removed and a random shift of 0.3 Å was applied to the remaining protein atom coordinates to minimize model bias. Structure was performed with REFMAC5 (Murshudov et al., 2011) and the CCP4 suite of programs (Winn et al., 2011) (Table 4). Initial density maps were used for automated building with Buccaneer (Cowtan, 2006) followed by manual building with Coot (Emsley et al., 2010), using σA-weighted 2Fo − Fc and Fo − Fc Fourier difference maps. Structure validation was performed with the PDB Validation Service (Westbrook et al., 2003) and the built-in functions in Coot. Figures were prepared with PyMOL 2.3.0 (Schrödinger) and CorelDRAW X7 (Corel). Metal-ion sites were checked with CMM (Handing et al., 2018). Real-space correlation coefficients were calculated with MolProbity (Williams et al., 2018).
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2.6. Bioinformatic analysis
The construction of sequence-similarity networks (SSNs) was conducted with the EFI-EST server (Gerlt et al., 2015) for Pfam (Mistry et al., 2021) families PF03952 (59 600 sequences) and PF00113 (55 120 sequences), which correspond to the N-terminal capping domains and C-terminal TIM-barrel domains of enolases, respectively. Edges were drawn for node pairs sharing a BLAST alignment −log(E-score) of 100 or better, which corresponds to a sequence identity of approximately 50% or higher. The SSN size was further simplified by sampling the UniRef90 database, grouping together nodes sharing up to 40% sequence identity into representative nodes (rep nodes). Finally, an SSN with 1231 rep nodes and 46 008 edges was obtained for the enolase family. Cytoscape 3.8.2 (Shannon et al., 2003) was utilized for network analysis, layout calculation and the evaluation of neighbourhood connectivity distribution (González, 2021). The oligomeric state of selected PDB enolase structures was estimated taking into account the buried molecular surface area (BSA) calculated with the PISA server (Krissinel & Henrick, 2007) (Supplementary Table S1). In order to analyse the enolase sequences with known experimentally determined structures that were present in the SSN, a subnetwork was constructed with those rep nodes containing at least one entry with an associated PDB entry, resulting in a network with 18 rep nodes and 101 edges (Supplementary Fig. S1), comprising 89 PDB entries mapped to 32 UniProt entries (Supplementary Table S2). These 32 enolase sequences were aligned with the online version of MAFFT (Katoh et al., 2019) and a 1000-bootstrap neighbour-joining unrooted cladogram was also obtained with the server, considering only 333 conserved positions in an alignment of 556 positions and 406 gap-free sites, using the JTT substitution model. FigTree 1.4.4 (https://tree.bio.ed.ac.uk/software/figtree/) was used for tree display and CorelDRAW (Corel) was used for figure preparation.
3. Results and discussion
SeEN was purified to as shown by a single band on SDS–PAGE immediately above that of carbonic anhydrase (45.7 kDa) from the Kaleidoscope pre-stained standards, in line with the theoretical value of 46.7 kDa for histidine-tagged SeEN. The kinetic parameters for dehydration of 2PGA were estimated using a coupled system with PyrKin and ALDH. Briefly, after dehydration of 2PGA to PEP, pyruvate is both produced from PEP and reduced to alanine, leading to NADH consumption, which is followed spectrophotometrically at 340 nm. Using this setup, a Km of 61 ± 4 µM and a kcat of 7.4 ± 0.1 s−1 (kcat/Km = 1.2 × 105 M−1 s−1) were obtained for the 2PGA dehydration reaction of SeEN. Such a catalytic efficiency value is comparable with available parameters for enolases (Table 5).
Crystals of recombinant SeEN were grown in a medium consisting of 0.1 M HEPES, 0.2 M calcium acetate, 15%(w/v) PEG 200 pH 7.5 (Table 2, Supplementary Fig. S2). Apo SeEN crystals belonged to the body-centred tetragonal I422, with one monomer per soaking with PEP changed to the to primitive tetragonal, P4212, with a dimer in the in which each monomer was refined with a single molecule of PEP. X-ray diffraction data-collection and are summarized in Tables 3 and 4. In general, the most significant conformational differences were observed in loop 43–51 (PSGASTGTF), which adopts an open (apo) or closed (PEP-bound) form, with an root-mean-square deviation (r.m.s.d.) of 0.221 Å for the fitting of 2519 atoms between the two forms. Additional subtle conformational changes occur upon substrate binding, leading to a shift in the from I422 (one polypeptide chain per asymmetric unit) to P4212 (two polypeptide chains per asymmetric unit), with an r.m.s.d. of 0.074 Å for the fitting of 2567 atoms between chains.
SeEN displays the typical structural features of this enzyme family. The enzyme monomer comprises the customary C-terminal TIM-barrel and N-terminal capping domains, with a metal-binding active site located between them (Fig. 1). An overall fold inspection of SeEN readily shows the characteristic unusual α2β2(αβ)6 topology, a variant of the symmetric (αβ)8-barrel TIM fold, which was witnessed early on for the yeast enzyme, which was the first enolase to be determined (Lebioda et al., 1989). Buried surface area (BSA) calculations allow us to estimate that SeEN can adopt at least an octameric (Supplementary Table S1). Enolases generally adopt a dimeric or octameric structure, although some exist in solution as a mixture of monomers, dimers and octamers, depending on the buffer composition, as reported for Helicobacter pylori enolase (López-López et al., 2018).
Indeed, analysis of SeEN with PISA indicates that the octamers are stabilized by two kinds of contacts, which we refer to here as `main contacts' and `pseudo-contacts' (Fig. 1). Main contacts display a BSA of 3570 Å2 and define the heart-shaped dimers typical of dimeric enolases. On the other hand, pseudo-contacts exhibit a BSA of 3020 Å2 and define pseudo-dimers which lead to the formation of octamers in combination with the main contacts. Assuming that the strength of a given contact is proportional to the BSA between interacting monomers, we anticipate that SeEN would also exhibit a dynamical equilibrium between monomers, dimers and octamers comparable with the scenario in H. pylori enolase, since the BSA for contacts in dimers is only 18% larger than the BSA for pseudo-contacts in pseudo-dimers, i.e. pseudo-contacts are marginally weaker than main contacts. In fact, during purification by gel filtration SeEN showed a major elution peak corresponding to the monomeric form, suggesting that in vivo requires specific conditions.
Diffracting crystals of SeEN were obtained in the as-purified apo form (PDB entry 4rop) and in complex with PEP (PDB entry 5j04), allowing an analysis of the structural changes that take place upon substrate binding. Considering that both crystal forms grow in a mother liquor containing 150–200 mM calcium acetate, metals were refined as Ca2+ ions, even though the available literature indicates that enolases generally contain Mg2+ ions as cofactors. Nevertheless, taking into account the chemical similarity between Ca2+ and Mg2+ ions, it is likely that both metals have comparable structural effects. In the resting state of the enzyme, a `catalytic' Ca2+ ion appears to be bound at the bottom of a wide cleft (Ca1 site), coordinated to Asp246, Glu287 and Asp314. Crystal soaking with PEP leads to binding of a second metal ion (Ca2 site), which partly stabilizes the negative charge of the PEP phosphate moiety while anchoring the flexible loop in the closed conformation and is coordinated to the Ala46 carbonyl. The second metal ion has been termed `structural' since it aids in stabilizing the closed loop through its interaction with specific residues (the carbonyl of Ala46 in the loop PSGASTGTF) and the phosphate moiety of PEP (Fig. 2). In addition, the negatively charged phosphate group in PEP appears to form a salt bridge to the guanidinium side chain of Arg368 and a hydrogen bond to the backbone and side chain of Ser369, further stabilizing the ligand and giving rise to an intricate hydrogen-bond network around it. On comparing chains A and B of the PEP-complex structure, bound PEP appears to exhibit some conformational freedom, which is accompanied by hydrogen bonds to Arg368 and Ser369.
In order to evaluate the context in which SeEN is located within the enolase family of proteins, a sequence-similarity network (SSN) was constructed with all enolase sequences in the UniProt database using the EFI-EST server (Gerlt et al., 2015). Currently, the enolase family comprises more than 100 000 sequences (Pfam families PF03952 and PF00113); therefore, SSN analysis is a convenient approach to explore such a large data set. As described in Section 2, an SSN with 1231 rep nodes and 46 008 edges was obtained for the enolase family. SSN neighbourhood connectivity (NC) reveals a major connected component with two clusters, averaging about 150 and 250 neighbours per node, and a residual group of unclustered sequences (Fig. 3). Considering that a sequence similarity of approximately 50% or higher was assumed to draw edges, a connected component indicates a group of sequences that share this similarity cutoff. The higher the NC value, the higher the shared sequence similarity; therefore, NC values define functionally analogous families. About 73% of all enolases belong to the major cluster, 20% to a less interconnected cluster and 7% remain unclustered. Notably, all enolases functionally and structurally characterized thus far belong to the major cluster, while the cyanobacterial SeEN reported here is borderline between clusters 1 and 2. In other words, 27% of the sequence space of all enolases remains experimentally unexplored. The 89 enolase structures currently available in the Protein Data Bank can be mapped to 32 UniProt entries (Supplementary Table S2). A dendrogram based on a sequence alignment of such sequences places SeEN in a clade of prokaryotic, typically octameric enolases (Fig. 3). This observation is consistent with BSA analysis of the molecular packing. Even though one or two molecules per are found in the structures of SeEN in the apo and PEP-bound forms, respectively, both structures indicate that SeEN is able to adopt an octameric Nevertheless, it is worth noting that the enolase sequences might not reflect solely their catalytic performance in terms of dehydration of 2PGA or their ability to adopt octameric structures, but also additional functions unrelated to dehydration of 2PGA. In fact, these enzymes belong to a group of ancient proteins that have evolved so-called moonlighting functions, participating in broad protein–protein interaction networks inside and outside the cell (Paludo et al., 2015).
The enolase et al., 1996), and shows remarkable mechanistic similarities to muconate-lactonizing enzyme and mandelate racemase (Neidhart et al., 1990; Gerlt et al., 2005, 2012). Their catalytic mechanism is defined by a partial reaction in which an α-proton of a substrate carboxylic acid is removed by a nearby strong base, forming a C1=C2 double bond, with the additional negative charge developing in the carboxylate moiety stabilized by a metal ion such as Mg2+ (Fig. 4). In this way, the α-carbon becomes an electron-rich species that reacts with another proton in a second stage. In enolases, a β-elimination takes place, in which a β-OH is lost as a water molecule and an α–β (C2=C3) double bond is formed. These characteristic reaction steps also take place within a conserved protein scaffold. The capping domain, including its flexible loop, defines the volume, shape and polarity of the active site, thereby selecting the substrate that is presented to the catalytic residues. A for SeEN can be pictured considering the proposed of yeast enolase. Binding of PEP at the bottom of the cleft defines two sides: an inner solvent-inaccessible side, where proton extraction by Lys339 acting as a strong base would take place, and a solvent-accessible side, from where PEP hydration is believed to occur through activation by a hydrogen-bond network involving Glu168 and His367.
has been extensively studied, particularly in the yeast enzyme (ReedProduction of value-added biomass using photosynthetic microbes such as algae and cyanobacteria has been proposed as a cost-effective and environment-friendly alternative to biomass from fossil fuels (Claassens et al., 2016; Quintana et al., 2011; Scott et al., 2010). The results presented here expand our comprehension of cyanobacterial metabolism, enlarging our toolbox of enzymes for metabolic engineering applications.
Supporting information
Supplementary Figures and Tables. DOI: https://doi.org/10.1107/S2053230X22003612/us5142sup1.pdf
Acknowledgements
We thank Pawel Grochulski, Shaun Labiuk and the staff of Canadian Light Source (CLS) beamline 08ID-1 for assistance with data collection. The CLS is supported by the Natural Sciences and Engineering Research Council of Canada (NSERC), National Research Council, the Canadian Institutes of Health Research (CIHR) and the University of Saskatchewan. Use of the Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory is supported by the US Department of Energy, Office of Science, Office of Basic Energy Sciences under Contract No. DE-AC02-76SF00515. The SSRL Structural Molecular Biology Program is supported by the DOE Office of Biological and Environmental Research and by the National Institutes of Health, National Institute of General Medical Sciences (P30GM133894). The contents of this publication are solely the responsibility of the authors and do not necessarily represent the official views of NIGMS or NIH. JMG is a staff member of CONICET (Argentine National Council of Research and Technology). This is article release LA-UR-22-20772.
Funding information
This work has been supported by grant PICT2017-4590 (Argentine Agency for Promotion of Research, Development and Innovation) and Laboratory-Directed Research and Development-Directed Research grants 20130091DR and 20120776PRD4 from Los Alamos National Laboratory.
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