Abstract
Photosynthetic organisms employ two different enzymes for the reduction of the C17 = C18 double bond of protochlorophyllide (Pchlide), yielding the chlorophyll precursor chlorophyllide. First, a nitrogenase-like, light-independent (dark-operative) Pchlide oxidoreductase and secondly, a light-dependent Pchlide oxidoreductase (LPOR). For the latter enzyme, despite decades of research, no structural information is available. Here, we use protein structure modelling, molecular dynamics (MD) simulations combined with multi-wavelength analytical ultracentrifugation (MWA-AUC) and small angle X-ray scattering (SAXS) experiments to derive a consensus model of the LPOR apoprotein and the substrate/cofactor/LPOR ternary complex. MWA-AUC and SAXS experiments independently demonstrate that the apoprotein is monomeric, while ternary complex formation induces dimerization. SAXS-guided modelling studies provide a full-length model of the apoprotein and suggest a tentative mode of dimerization for the LPOR ternary complex, supported by published cross-link constraints. Our study provides a first impression of the LPOR structural organization.
Subject terms: Oxidoreductases, SAXS, Molecular conformation, Bacterial structural biology
Judith Schneidewind et al. present a molecular model of a light-dependent photoenzyme, TeLPOR, from cyanobacteria. They find that the protein is monomeric in its apo form but that substrate and co-factor binding results in dimerization via the active site surface patch, providing new insight into mechanisms of chlorophyll biosynthesis.
Introduction
Light-dependent protochlorophyllide oxidoreductases (LPOR, E.C. 1.3.1.33) are photoenzymes that catalyze the strictly light-dependent reduction of the C17 = C18 double bond of protochlorophyllide (Pchlide) to yield chlorophyllide (Chlide) using NADPH as electron donor (Fig. 1a)1–4. LPORs are ideal model systems to study biological hydride transfer reactions because the photoactive LPOR/NADPH/Pchlide holoprotein ternary complex (hereafter “holoprotein”) can be reconstituted in the dark with catalysis initiated by short pulses of light1,2,4–6. Ultrafast and cryogenic spectroscopy have revealed the reaction mechanism of LPORs in great detail6–12, yet structural information for this important enzyme family is lacking. Homology models have been based on short-chain dehydrogenases with a conserved Rossmann-fold1,10,13–17 but the quaternary structure of the enzyme remains unresolved with conflicting information for the NADPH/Pchlide-free apoprotein (“apoprotein”) and the corresponding holoprotein complexes. A pea LPOR / maltose-binding protein (MBP) fusion protein eluted as a dimer in size-exclusion chromatography (SEC) irrespective of substrate and product being present18. Arabidopsis thaliana LPOR similarly forms dimers19, whereas in vitro cross-linking of recombinant LPOR A of A. thaliana (AtLPOR A) revealed that both apoprotein and holoprotein form tightly packed, higher-order oligomers20. Homology modelling and non-denaturing protein blots indicated that barley LPOR forms hexamers with five LPOR A and one LPOR B subunit19. Whereas early LPOR preparations were generally derived from solubilized etioplasts21,22, recently plant and cyanobacterial LPORs have been recombinantly produced in Escherichia coli6,9,11,13,20,23. Plant LPORs tend to aggregate limiting structural and biophysical analyses. Cyanobacterial LPORs, e.g. from Thermosynechococcus elongatus BP-1 (TeLPOR) or Synechocystis sp. (SsLPOR), by contrast, can be produced in sufficient quantity and purity for spectroscopic/biophysical characterization. Recent information on the LPOR reaction mechanism thus primarily derives from cyanobacterial LPORs2,5–7,9,10,24. Both the structure and oligomerization state of cyanobacterial LPORs, however, remain unknown.
To fill this gap, we investigated the structure of cyanobacterial TeLPOR apoprotein in solution and LPOR complex formation by supplementing NADPH and Pchlide. Multi-wavelength analytical ultracentrifugation (MWA-AUC), small angle X-ray scattering (SAXS) and complementary biochemical and biophysical analyses indicate apo-TeLPOR to be monomeric. SAXS-derived ab initio models reveal a bowling-pin like molecule in line with existing LPOR homology models, while adding a C-terminal extension not previously proposed. SAXS and MWA-AUC studies of the holoprotein complex show that substrate/cofactor binding results in dimerization of TeLPOR. Tentative protein-docking models of the TeLPOR dimer corroborated by MD simulations indicate potential dimerization via the active site surface, conserved structural elements on the SDR-like Rossmann fold and protruding C-terminal α-helices. This dimerization mode corroborates our SAXS data and recent cross-linking data for a plant LPOR. Our study thus sheds light on the structural organization of this important class of enzymes.
Results
Holoprotein assembly, functionality and oligomerization
The N-terminally His6-tagged TeLPOR apoprotein was heterologously produced in E. coli, purified to homogeneity by immobilized metal ion affinity chromatography (IMAC) and preparative size exclusion chromatography (SEC) (Supplementary Fig. 1a, b). The TeLPOR holoprotein, was reconstituted by mixing equimolar amounts of apoprotein, Pchlide and NADPH. To verify holoprotein functionality, samples were diluted in reaction buffer and illuminated with blue light for different time intervals. Corresponding light-dark difference spectra (Fig. 1b) reveal enzyme-bound Pchlide decreasing (peak at 642 nm)8 and concomintant Chlide product (new peak at 675 nm)12 formation. For details regarding TeLPOR purification, reconstitution and functionality tests refer to the Supplementary Information (Supplementary Discussion Section 1.1, Supplementary Fig. 1, Supplementary Fig. 2).
To evaluate sample monodispersity, purity and test for changes in the oligomerization state during holoprotein reconstitution, we analysed an apoprotein sample by SEC and SDS–PAGE (Supplementary Fig. 1b, c) and performed a series of multiwavelength absorbance analytical ultra-centrifugation (MWA-AUC) experiments for the apo and holoprotein (Supplementary Fig. 3, Fig. 1c–e) at concentrations from 0.5 to 1.23 mg ml−1. The sedimentation coefficient distribution c(s) of the 0.615 mg ml−1 apoprotein sample indicates that monomers of 43 kDa (1.01 S) constitute 94.2% of the sample, while dimers and larger oligomers/aggregates constitute 3.6 and 2.2%, respectively (Fig. 1c and Supplementary Fig. 3a, c) - in excellent agreement with the SAXS analyses for similar apoprotein samples below (Supplementary Tables 1 and 2).
While AUC analyses of the apoprotein are straightforward, AUC analysis of the holoprotein is complicated by the presence of low concentrations of free NADPH and Pchlide (due to the low µM Kd of the ternary holoprotein complex10), spectral shifts and altered extinction coefficients associated with Pchlide binding5,25. In contrast to the largely monomeric apoprotein, the c(s) distribution of a ~0.5 mg ml−1 holoprotein sample at 279, 340 and 437 nm indicate larger amounts of more rapidly sedimenting species such as protein dimers and various non-protein aggregates (Fig. 1d, Supplementary Fig. 3c). Free NADPH and Pchlide that sediment more rapidly than TeLPOR may be seen in the propagation of typical absorption maxima of moving sedimentation boundaries (Supplementary Movie 1), in particular relative to the apoprotein (Supplementary Movie 2).
Non-protein aggregates constitute less than 1% of the total mass and are therefore unlikely to impact the SAXS studies of the TeLPOR holoprotein, though the presence of small amounts of protein aggregates among the large particles cannot be ruled out. In the SAXS experiments below, these larger aggregates/particulates would presumably be removed by the preparative centrifugation (20.000 × g, 20 min, 4 °C) immediately prior to the SAXS measurements.
Comparing the MWA-AUC derived holoprotein absorption spectrum to Pchlide solution spectra confirms Pchlide binding to TeLPOR (Fig. 1e and Supplementary Fig. 3d, e). In particular, the Pchlide Qy-band of the TeLPOR holoprotein (red curve) is blue-shifted compared to Pchlide in TritonX-100 free buffer, likely representing Pchlide aggregates (cyan curve). Differences between TeLPOR holoprotein (red curve) and free Pchlide monomers (dark green curve, with Triton X-100) are less obvious due to the noisy MWA-AUC spectrum. Nevertheless, the holoprotein Pchlide Qy band is slightly red-shifted relative to the Qy band of free Pchlide monomers (dark green curve) more closely matching the peak position of fully protein bound Pchlide (green curve)5,25. Comparing absorption spectra of holoprotein and sedimenting material, we estimated the oligomer distribution for the holoprotein sample (Supplementary Discussion Section 1.2) indicating that 89% of the total protein is monomeric (67% apo; 22% holoprotein), while 11% are constituted by the dimeric holoprotein - in agreement with the SAXS analyses for a similar holoprotein sample (Supplementary Table 2; c = 0.65 mg ml−1; monomer content from I(0): 85.9%). To test both monomeric and dimeric holoprotein species for activity, we analysed a monomer- and dimer-containing holoprotein sample after illumination by MWA-AUC (Supplementary Fig. 3, g, h). Both c(s) distributions (Supplementary Fig. 3g) and extracted absorbance spectra (Supplementary Fig. 3h) indicate that the ratio of Pchlide/NADPH containing holoprotein monomer:dimer increases after illumination from approximately 2:1 to 3-4.5:1, indicative of holoprotein dissociation into monomers (Supplementary Fig. 3g). Unfortunately, we observed only minor Chlide production as discernible from the small Chlide product band at 671 nm (Supplementary Fig. 3h), with the peak position hinting at the presence of Chlide/TeLPOR binary complexes26. This assignment is corroborated by the fact that the Chlide product co-sediments with the both the monomer and the dimer. These results suggest that either both holoprotein monomers and dimers are active, or that the Chlide-containing monomers derive from dissociation of the Childe-containing dimers. Given the altered monomer:dimer distribution which we observed for the illuminated holoprotein, we would favor the latter interpretation. For a more detailed discussion see Supplementary Discussion Section 1.2.
Apo- and holoprotein SAXS studies
We used small-angle X-ray scattering (SAXS) experiments to obtain structural information of the TeLPOR apoprotein and to get further insights into the structural consequences of ternary complex formation (Supplementary Table 1, Supplementary Figs. 4 and 5). Three independently prepared TeLPOR apoprotein samples as well as one dark-adapted TeLPOR holoprotein sample were analysed. As representative data set for the TeLPOR apoprotein, we selected the data of the apo 2 sample (see Supplementary Discussion Section 1.3 for details). In contrast to the apoprotein, which appears predominantly monomeric at all tested concentrations (Supplementary Table 2, Supplementary Fig. 6), the holoprotein tends to show increased dimer content at higher concentration (Supplementary Table 2, Supplementary Fig. 6). We therefore used the SAXS data of the holoprotein with highest concentration (5 mg ml−1) as representative data set in the following. The direct comparison of representative SAXS data of the TeLPOR apo and holoprotein are shown in Fig. 2.
The results of the SAXS data evaluation are compiled in Table 1. Guinier analysis yielded radii of gyration (Rg) of 23.0 ± 0.015 Å and 31.6 ± 0.006 Å for the apo and holoprotein, respectively. Corresponding Guinier plots are shown in Fig. 2d. Data points at low q values were excluded (highlighted in grey in Fig. 2a, b, d) to alleviate potential small effects due to aggregation. The molecular mass M of the apo and holoprotein determined from the Porod volume (Vp) was 38,649 Da and 55,895 Da, respectively.
Table 1.
apoprotein | holoprotein | |
---|---|---|
I(0) (cm−1) | 0.013785 ± 0.00005 | 0.109217 ± 0.00037 |
M from I(0)a (Da) [dimer content (%)b] |
37,096 ± 131 [0] |
52,108 ± 176 [32.4 ± 0.3] |
Vp (Å3) | 65,730 | 96,680 |
M from Vp (Da) [dimer content (%)] |
38,649 [1.7] |
55,895 [42.0] |
Rg (Å) from Guinier | 23.0 ± 0.015 | 31.6 ± 0.013 |
Rg (Å), reciprocal space/real spacec | 22.9/22.9 ± 0.006 | 32.3/32.5 ± 0.006 |
Dmax (Å)c | 80.5 | 105.4 |
M from chemical composition | 38,014 | 39,370 |
M from ab initio modelling (Da) DAMMIF/DAMMIN/GASBORPd |
35,910/31,110/29,498 | 58,153e |
adetermined as described in Supplementary Table 2; bassuming the presence of only monomers and dimers, determined as described in Supplementary Table 2; cderived by using GNOM; ddetermined by dividing the filtered volume of the DAMAVER generated averaged and filtered model by a factor of two edetermined from the GASBORMX model of the dimer as described in d
Here, the molecular mass of the apoprotein as calculated from the SAXS data agrees very well with the theoretical molecular mass of a monomer as calculated from the amino acid sequence (M = 38,014 Da). The apparent experimentally determined molecular mass M for the holoprotein is about 1.5-fold larger than the theoretical molecular mass of a monomer, which indicates a monomer:dimer equilibrium with a dimer content of about 42% (under the assumption that only monomer and dimer contribute to the SAXS data).
SAXS-guided modelling of the TeLPOR apoprotein monomer
Prompted by the lack of an LPOR crystal structure, we generated a homology model for the TeLPOR core domain. This model, which is based on a previously published model of the related LPOR of Synechocystis sp.14, lacks 31 C-terminal residues and does not cover the 20 residue N-terminal His6-tag. Circular dichroism spectroscopic data27 and secondary structure predictions (Supplementary Fig. 7) indicate the presence of an α-helix within the missing C-terminal segment. Based on this assumption, we generated different C-terminally extended TeLPOR homology models (Fig. 3a). All models were cross validated against experimental SAXS data of the apoprotein (Fig. 3b, c) and Molecular Dynamics (MD) simulations were performed to evaluate the structural stability of the models (Fig. 3d–f). For a more detailed discussion see Supplementary Discussion Section 1.4.1. Additionally, we considered different core domain structure variants (Supplementary Discussion Section 1.4.2; Supplementary Fig. 8) and used ensemble optimization modelling (EOM) of SAXS data to assess, whether the missing N- and C-terminal residues adopt a flexible, unordered conformation (Supplementary Discussion Section 1.4.3; Supplementary Fig. 9). EOM was used as well to address the possibility that certain internal segments adopt a flexible/disordered conformation in TeLPOR. Here, in particular, a 25–30 residue long sequence stretch (here called LPOR insertion loop), which is not present in related short-chain dehydrogenases14, was modelled as either fully or partially flexible (see Supplementary Discussion Section 1.4.4; Supplementary Fig. 9c–h). Details about EOM modelling, simulations and model validation can be found in the Supplementary Information (see Supplementary Discussion 1.4). Overall, our analyses indicate, that the previously presented TeLPOR core domain models (residues 1–285)1,10,13–17 are insufficient to explain our apoprotein SAXS data. Modelling the missing 31 C-terminal amino acids as protruding α-helix (TeLPOR-Chelix model, Fig. 3a) markedly improves the fit (Fig. 3b, c, h, i; compare χ value for TeLPOR core model (χ = 2.864) and TeLPOR-Chelix (χ = 1.654)). All of the tested models possessing alternative core-domain structures or flexible/disordered terminal and/or internal segments yielded worse χ values. MD simulations show that the structure of the core domain of the TeLPOR-Chelix model is very stable (Fig. 3d, Supplementary Fig. 10), whereas the C-terminal protruding helix appears mobile (Fig. 3d). This movement does, however, not translate to markedly worse χ values for the fit against the experimental apoprotein SAXS data (Fig. 3g; red line). To further validate our apoprotein models, we performed ab initio modelling28(see Methods, Small-angle X-ray scattering (SAXS) for details; Supplementary Fig. 11). The overall shape of the obtained molecular envelopes resembles a bowling-pin (Fig. 3j) appearing to consist of a larger and smaller subdomain, which is corroborated by the corresponding P(r) plot (Fig. 2f, blue line).
Superimposition of the best C-terminally extended TeLPOR homology model (TeLPOR-Chelix) to the corresponding low-resolution envelopes allows for a placement of the conserved LPOR core Rossmann-fold within the larger subdomain, with the C-terminal helix covering the small subdomain (Fig. 3j, red cartoon). In contrast, the corresponding TeLPOR core domain model (Fig. 3j, blue cartoon) is insufficient to fill-out the envelope shape completely.
SAXS-guided modelling of the TeLPOR holoprotein dimer
To obtain an atomic model of the dimeric TeLPOR holoprotein, we used restraint-free homo-multimer docking by employing the ClusPro webserver (https://cluspro.bu.edu)29. As input monomer models, we used the model of the TeLPOR core domain (Fig. 3j, blue, cartoon) or the C-terminally extended TeLPOR-Chelix model (Fig. 3j, red cartoon). The resulting dimer models were subsequently scored by comparison against the experimental SAXS data. The best model was selected based on the lowest χ value of the fit of the theoretical scattering curve of a monomer/dimer mixture by employing the OLIGOMER algorithm (Fig. 4a) (see also Supplementary Discussion Section 1.5, Supplementary Table 3, Supplementary Figs. 12 and 13 for details). For model selection, we also considered distance constraints provided by a recent cross-linking study of the LPOR A enzyme of Arabidopsis thaliana (AtLPOR A)(Supplementary Table 3)20. Consistently, all dimer models containing the C-terminal α-helical extension provided a better fit to the experimental SAXS data (compare Supplementary Figs. 12 and 13). For the best dimer model (dimer 4b; see Supplementary Discussion Section 1.5.1, Supplementary Table 3) we performed an MD simulation to validate its stability (Supplementary Fig. 14). For a detailed discussion of the corresponding results refer to the Supplementary Information (Supplementary Discussion Section 1.5.2, Supplementary Figs. 14–18, Supplementary Table 4). While during the simulation, some minor rearrangements take place, i.e. with regard to the placement of the C-terminal helix (Supplementary Fig. 14d), the fit of the theoretical scattering curves of MD trajectory snapshots against the experimental SAXS data did not improve markedly over the simulation time (Supplementary Fig. 14b, Supplementary Fig. 15). Since the mode of interaction, as well as the overall dimer structure did not change dramatically during the simulation, we present in the following only the data for the initial ClusPro-derived dimer 4b.
The overall mode of dimerization, driven by both hydrophobic (Supplementary Figs. 16 and 17) and electrostatic interactions (Supplementary Fig. 18) remains stable in MD simulations. The interface between the subunits is hereby largely constituted by highly conserved residues on both the Rossmann-fold core domain and the C-terminal α-helix (Fig. 4b). Compared to the MD simulation performed for the TeLPOR-Chelix apoprotein model (Fig. 3d), the observed mode of dimerization seems to stabilize the movement of the C-terminal helix, as evidenced by a reduced root mean square fluctuation (RMSF) of the corresponding segment (Fig. 5a; region highlighted in green). Importantly, the OLIGOMER-derived fit of the theoretical scattering curve of the monomer/dimer mixture, calculated from the dimer 4b model, and the experimental SAXS data yields a moderately good χ value of χ = 1.637 (Fig. 5b, c).
Finally, we reconstructed a molecular envelope of the holoprotein dimer (see Methods, Small-angle X-ray scattering (SAXS) for details; Fig. 5d). The best ClusPro-derived dimer model (dimer 4b; see Supplementary Discussion Section 1.5.1, Supplementary Table 3) accounts well for the SAXS-derived ab initio holoprotein dimer envelope. In this dimer model the protruding C-terminal helix directly interacts with the opposite subunit thereby stabilizing a domain-swapped LPOR dimer (Fig. 5d; highlighted in green). Moreover, two of the monomer apoprotein envelopes (Fig. 3j) fit well into the holoprotein dimer envelope (Supplementary Fig. 19).
C-terminal truncation of TeLPOR
To probe the role of the C-terminal extension for the structure and activity of TeLPOR, we constructed truncated versions of TeLPOR by introducing a stop codon at three different sites within the C-terminal segment not covered by previous homology modelling studies14,17 (P272, V279 and A302)(Fig. 5e). This resulted in the variants TeLPOR-Δ51, TeLPOR-Δ44 and TeLPOR-Δ21 shortened by 51, 44, and 21 amino acids compared to TeLPOR wild type. We produced all variants heterologously in E. coli (Supplementary Fig. 20a), and attempted to purify them by IMAC. This, however, yielded low amounts of the target protein, with the samples containing larger amounts of unknown co-purified protein (Supplementary Fig. 20b–d). At best, TeLPOR-Δ21 was obtained at about 50% purity (Supplementary Fig. 20b), hampering further biophysical characterization. Nevertheless, we tested light-dependent Pchlide turnover using both cell-free cell extracts (Fig. 5f) and purified protein (Supplementary Fig. 21). Interestingly, neither of the variants showed any detectable light-dependent Pchlide turnover. This might indicate that the C-terminal protein segment is important for the proper folding of TeLPOR. However, further variants, i.e. with more conservative, shorter, truncations, would have to be studied to ascertain the role of the C-terminal extension for the function and dimerization of TeLPOR.
Discussion
Due to the lack of an LPOR X-ray structure little is known about the tertiary structure of the enzyme, except that it likely contains a Rossmann fold1, as inferred from sequence similarity to short-chain dehydrogenase/reductase (SDR) enzymes. Likewise, all presented homology models1,10,13–17, built based on SDRs, remain experimentally unvalidated, and do not cover the full-length LPOR sequence, i.e. missing residues at the C-terminus that are not covered by the template used for model building. Our SAXS data for the TeLPOR apoprotein provides strong evidence that the current TeLPOR core (Rossmann-fold) homology model, although partly accounting for our SAXS data, has to be extended (Fig. 3). Here, modelling the missing 31 C-terminal amino acids as protruding α-helix, which is in line with previous CD spectroscopic studies27 and secondary structure predictions15, yields the best fit to our apoprotein SAXS data. This structural architecture, which is stably maintained during MD simulations (Fig. 3d, g and Supplementary Fig. 10b), is corroborated by the bowling-pin like shape of the corresponding SAXS-derived ab initio models (Fig. 3j). Interestingly, while the C-terminal helix appears to move freely during MD simulations (Fig. 3d), this movement does not to translate to markedly worse χ values for the fit against the experimental SAXS data (Fig. 3g). This indicates that a freely moving, yet folded, C-terminally protruding helix is accommodated by our apoprotein SAXS data. Apart from providing a glimpse into the full-length architecture of LPORs, our SAXS and MWA-AUC data unequivocally shows that the TeLPOR apoprotein is monomeric in solution. This is in contrast to most other SDR enzymes, which either form homotetramers or homodimers30. The largest oligomerization interface, conserved among SDRs, is the so-called Q-axis interface constituted by two long α-helices (commonly called αE and αF), which form an antiparallel four-helix bundle in the dimer31. Dimerization predominately occurs via a hydrophobic patch on the surface of the two helices32. Compared to oligomeric SDRs of the hydroxysteroid-dehydrogenases family (HSDs), like 7α-HSDs33, 3α,20β-HSDs32 and 17β-HSDs34, TeLPOR possesses a much less well pronounced hydrophobic surface in the corresponding region (Supplementary Fig. 22), which is moreover interspersed with charged residues (Supplementary Fig. 18). This in turn might account for the weak dimerization tendency of the protein in its apo form.
SAXS and MWA-AUC data of the TeLPOR holoprotein independently verify that Pchlide and NADPH binding result in dimerization of TeLPOR. Protein-Protein docking of two full-length TeLPOR monomers produced a set of very similar dimer models (Fig. 4a, Supplementary Figs. 12 and 13), which account well for our SAXS data (Fig. 5b–d). Interestingly, in our best-fitting TeLPOR dimer model, dimerization occurs via the aforementioned Q-axis interface of one subunit and the C-terminally protruding α-helix of the opposite monomer (Fig. 5d) in a domain swapped manner, with the C-terminal helix concealing most of the hydrophobic patch on the surface of the protein (Supplementary Fig. 17). This interaction finds support in an independent cross-linking study of the LPOR A of A. thaliana20. Here, the authors observed crosslinks between K129 localized on the surface of the conserved Rossmann-fold) and K390 (within the C-terminal extension) for the AtLPOR A apoprotein, which were absent in the corresponding holoprotein sample. In our TeLPOR holoprotein dimer model, the residue equivalent to K390 in AtLPOR A (K307 in TeLPOR) is found buried within the holoprotein dimer interface, and would thus only be accessible for cross-linking in the apoprotein. Mechanistically, the here suggested dimerization mode via the C-terminally protruding helix is reminiscent of the structure of the monomeric Porcine testicular carbonyl reductase, where a 41-residue insertion, not found in oligomeric SDRs, forms an all-helix subdomain that packs against the Q-axis interface hindering dimerization31. It is thus tempting to speculate that in TeLPOR and other oligomeric SDRs, a similar interface on the Rossmann-fold core domain is involved in dimerization, and that in monomeric SDRs the same interface is shielded by additional structural elements. Moreover, the here proposed TeLPOR dimer interaction, i.e. with the protruding C-terminal helix stabilizing the domain-swapped LPOR dimer, is reminiscent of the subunit interactions seen for structurally dissimilar DPOR enzyme, in which the Pchlide molecule held by the N- and B-subunits interacts with the C-terminal α-helix of B’-subunit (in the other symmetric unit) forming the catalytic (N-B)2 hetero-tetramer35.
Irrespective of the mode of dimerization, the question immediately arises how substrate/cofactor binding within the TeLPOR active site structurally mediates dimerization. First, NADPH and Pchlide binding might result in a reorganization of the potential dimerization interface (i.e. the weakly hydrophobic Q-axis interface of TeLPOR), resulting in increased surface hydrophobicity, which would then drive dimerization. In this case, one would expect that dimerization, as in other SDRs, would occur via the Q-axis interface resulting in an antiparallel Rossmann-fold dimer with protruding C-terminal α-helices. To test this possibility, we generated a full-length TeLPOR dimer model dimerized via the Q-axis interface as found in dimeric 7α-HSDs (Supplementary Fig. 23a)33. The theoretical scattering curve of this dimer model does not fit well to the experimental SAXS data of the holoprotein (Supplementary Fig. 23b, c; χ = 2.917), i.e. compared to our above presented best ClusPro-derived dimer model (dimer 4b; Fig. 5b, c, Supplementary Fig. 23b, c; χ = 1.637), rendering this possibility unlikely. Secondly, flexible regions of the protein might become ordered upon ternary complex formation, which is a known feature of other SDR enzymes33,36. This in turn might present a novel interface for dimerization, which is absent in the apoprotein, thereby driving dimerization. This model could not be evaluated as it assumes substantial conformational changes in the monomer due to Pchlide/NADPH binding, which we cannot assess as our starting TeLPOR monomer model already contained bound Pchlide and NADPH (see Supplementary Discussion Section 1.4.1). Please note, however, that our disorder prediction for TeLPOR did not detect any potential disordered regions other than the LPOR insertion loop and the C-terminal extension. Likewise, dimerization might induce further larger scale conformational changes within the monomer, which are not accommodated by the ClusPro rigid-body docking methodology29. Last but not least, the conformation or flexibility of the C-terminally protruding α-helix of TeLPOR could present a switch that drives dimerization. This notion is supported by our docking studies and the observation that removal of the C-terminal extension resulted in poorly expressed or inactive protein (Fig. 5f, Supplementary Figs. 20b–d and 21). However, to ascertain the role of the C-terminal extension for TeLPOR function and dimerization further studies would be needed. For the LPOR of Pisum sativum alanine substitions within the C-terminal extension resulted in loss of LPOR activity15, which corroborates the importance of this structural region for LPOR function.
With regard to those possibilities, we propose the following model (Fig. 6) that accommodates all of our SAXS and modelling data as well as previous observations regarding the structure and function of the LPORs: In absence of NADPH and Pchlide, TeLPOR is monomeric, with the C-terminal helical extension likely being flexible (as indicated by MD simulations; see above). This would hinder dimerization via this structural element in the apo-form. Binding of NADPH and Pchlide to the protein, induces a conformational change in the protein monomer25, which might involve rigidification of the C-terminal extension. Such a conformational change, which is not directly assessed by our modelling strategy, could for example be triggered by an interaction between Pchlide or the substrate-binding site and the loop region that connects the Rossmann-fold core domain and the C-terminal helix. Interestingly, in E. coli 7α-HSD the C-terminus, which, however, is much shorter as in TeLPOR, undergoes such a conformational change upon ternary complex formation33. This change in flexibility in turn might allow for formation of the dimeric photoactive holoprotein. This model would also account for the light-induced disintegration of prolamellar bodies37,38, i.e. with light-dependent Pchlide turnover and subsequent Chlide release resulting in the reversal of the proposed processes (Fig. 6) which drives the disintegration of prolamellar bodies. The latter step is also supported by the above presented MWA-AUC studies performed for the illuminated TeLPOR holoprotein that showed increased monomer content after illumination (Supplementary Fig. 3g).
Please note that this mechanistic proposal is solely based on the here presented consensus TeLPOR apoprotein monomer and holoprotein dimer models as well as simulation data. Those models, selected from several likely alternatives, are best-fitting to our experimental SAXS data, they are physically feasible and remain stable in MD simulations. Given the low resolution nature of SAXS data, we, however, cannot not rule out that other structural models, not covered by our alternative modelling approaches, exist, that would equally well account for the presented SAXS data. High-resolution X-ray or NMR- structures will be needed to address this issue unequivocally.
In summary, our study provides to the best of our knowledge the first glimpse into the structural architecture of the yet structurally uncharacterized LPOR enzyme family, paves the way for further biophysical characterization, mutational and computational studies, and advances our structural understanding of this important class of enzymes.
Methods
Strains and plasmids
The gene coding for the LPOR of Thermosynechococcus elongatus BP-1 (UniProt ID: Q8DLC1) (TeLPOR) was custom synthesized (ThermoFisher Scientific/Life technologies, Waltham, MA, USA) without codon optimization. The synthetic gene was appended with a 5′- NdeI and a 3′- SalI restriction endonuclease recognition site, and sub-cloned from the synthesis vector into pET28a (Merck/Novagen, Darmstadt, Germany) as expression vector. This results in an in frame fusion of a 20 amino acid N-terminal hexa-histidine (His6) tag (tag sequence: MGSSHHHHHHSSGLVPRGSH). C-terminally truncated variants of TeLPOR were generated by QuikChange-PCR by introducing a stop codon at the codon positions 272, 279 and 302 using the oligonucleotides listed in Supplementary Table 5. QuikChange-PCR was performed by employing Phusion DNA Polymerase (Thermo fisher Scientific, Ulm, Germany) according to the instructions provided by the Supplier of the QuikChange Site-Directed Mutagenesis kit (Agilent, Santa Clara, CA, USA). All final constructs were verified by sequencing (SeqLab, Göttingen, Germany).
Heterologous gene expression and protein purification
The TeLPOR encoding gene was expressed as His6-tagged fusion protein in E. coli BL21(DE3). Expression cultures were grown in 5 l non-baffled Erlenmeyer flasks (500 ml modified autoinduction media39 supplemented with kanamycin (50 µg ml−1) for plasmid maintenance). All cultures were grown initially for 2 h at 37 °C under constant agitation (250 rpm). Subsequently the temperature was decreased to 15 °C and cells were grown for additional 48 h. Expression cultures were harvested by centrifugation (30 min, 6.750 xg, 4 °C) and resuspended in 20 mM Tris/HCl, 500 mM NaCl, 20% (w/v) glycerol, pH 7.5. Cell disruption was achieved by passing the cell suspensions (10% (w/v) wet cells) five times through an EmulsiFlex-C5 high-pressure homogenizer (AVESTIN, Ottawa, Canada) at a pressure of 1000 bar. Cell debris and unbroken cells were removed by centrifugation (30 min, 30.310 x g, 4 °C). The recombinant TeLPOR protein was purified by immobilized metal ion affinity chromatography (IMAC) as described previously40. Immediately after IMAC, the protein sample was desalted using a Sephadex™ G25 column (560 ml column volume, XK50/30, GE Healthcare Life science, VWR International GmbH, Langenfeld Germany). Protein samples were concentrated to a concentration of at least 1 mg ml−1 using a Nanosep® centrifugal concentrator unit (molecular weight cutoff 10.000 Da)(Pall, VWR International GmBH, Darmstadt, Germany) and subsequently further purified by preparative size-exclusion chromatography (SuperdexTM 200, XK16/60, GE Healthcare Life science, VWR International GmbH, Langenfeld, Germany) employing 20 mM Tris/HCl pH 7.5 buffer supplemented with 500 mM NaCl and 20% (v/v) glycerol as eluent. All samples were flash frozen in liquid nitrogen and stored at −20 °C until further use.
Protochlorophyllide (Pchlide) production and purification
Pchlide was produced using Rhodobacter capsulatus ZY541. The strain was cultivated in VN-Medium (10 g/l yeast extract, 5.7 µM K2HPO4, 2 µM MgSO4, pH 7.0) in the dark at 30 °C under constant agitation (130 rpm). Production cultures were inoculated to an OD660nm of 0.01 and grown under micro-aerobic conditions (culture volume 50% of the flask volume; non-baffled Erlenmeyer flasks). The secreted Pchlide was adsorbed to hydrophobic polyurethane (PU) cubes (edge length: 1 cm) which were added to the cultures during cultivation. After 24 h the cubes were withdrawn. Cells were removed by washing with tricine buffer (10 mM tricine pH 7.5). Subsequently, Pchlide was extracted from the cubes with 100% methanol and the extract was filtered (cellulose acetate filter, pore size 0.45 µm). Pchlide was purified by column chromatography using an ÄKTAbasic™ FPLC system (GE Healthcare, Solingen, Germany) using C-18 solid-phase extraction (SPE) material (Sep-Pak®, Waters, Milford, MA, USA) filled into an ECOPLUSSR TAC15/500LGO-SR-2 column (75 ml CV)(YMC Europe GmbH, Dinslaken, Germany). To facilitate binding, the filtered Pchlide methanol extract was diluted to a final concentration of 40% (v/v) methanol with tricine buffer. The SPE column was equilibrated with methanol:tricine buffer (40% (v/v) methanol), the Pchlide extract was loaded, and the column was washed using the same methanol:tricine buffer mixture. To separate carotenoids and other unwanted pigments from Pchlide, the methanol concentration was increased stepwise to 50% (after two CV) and 60% (after 25 CV). Finally, Pchlide was eluted using a methanol:tricine buffer ratio of 75:25. The obtained purified Pchlide eluate was diluted with tricine buffer to a final methanol concentration of ~25%. Subsequently, Pchlide was extracted with fresh diethyl ether by liquid-liquid extraction. The resulting diethyl ether Pchlide extract was dried with MgSO4, the ether was evaporated using a rotary evaporator (Rotavapor® R-100, Büchi, Flawil, Switzerland), and the dried sample was stored under argon atmosphere at −20 °C in the dark.
Sample preparation for SAXS and MWA-AUC
TeLPOR apoprotein samples were prepared by concentrating a freshly prepared IMAC and SEC purified protein sample starting from a sample of about 0.5 mg ml−1 using a Nanosep® centrifugal concentrator unit (molecular weight cutoff 10,000 Da)(Pall, VWR International GmBH, Darmstadt,, Germany). Samples of defined concentration were removed during the concentration process and the corresponding flow-through was collected as buffer reference for SAXS measurements. The TeLPOR holoprotein was prepared by incubating the apoprotein (0.44 mg ml−1; 11 µM) with 11 µM Pchlide and 11 µM NADPH at 25 °C in the dark. For Pchlide, a molar extinction coefficient of 23.95 mmol−1 cm−142,43 was used. All subsequent steps were carried out in the dark or under dim green safety light to avoid Pchlide turnover. The reconstituted holoprotein sample was concentrated as described above for the apoprotein samples. Samples of defined concentration were used for SAXS analyses employing the corresponding buffer flow-through as reference. All SAXS samples were centrifuged at for 20 min, 21.000 x g at 4 °C to remove larger aggregates and particulate material. Identically prepared samples were used for AUC experiments.
MWA-AUC experiments and data analysis
TeLPOR apoprotein and holoprotein samples at 1.23 mg ml−1 and 1 mg ml−1, respectively, were freshly diluted with reaction buffer to half the concentration and filled into custom-produced titanium centerpieces with sapphire windows and optical path lengths of 20 mm. Additionally, measurements of undiluted samples were performed in corresponding measurement cells of 12 mm. Upon inserting the cells into the rotor, optical alignment along the centrifugal field is ensured by the application of a custom-made cell alignment tool (Nanolytics Instruments, Potsdam, Germany). Sedimentation velocity experiments were carried out on a Nanolytics Instruments MWA Analytical Ultracentrifuge using multiwavelength absorbance (MWA) optics at 20 °C and an angular velocity of 50 krpm. The MWA detector records full spectra by simultaneously acquiring the absorption at 2048 wavelengths between 185-894 nm for each radial scan44.
The data for single wavelengths selected from the MWA data sets were analysed with the standard c(s) model in SEDFIT version 15.01b to generate a diffusion-corrected sedimentation coefficient distribution with a weight-averaged frictional ratio. For parametrization refer to Supplementary Discussion Section 1.2. The c(s) distributions show the signal amplitudes of all species with a given sedimentation coefficient s absorbing at the respective wavelength and enable the identification of the oligomeric states of proteins from their apparent molar masses. Additionally, complete MWA data sets were analysed using SEDANAL version 6.82 with the wide distribution analysis (WDA) method providing a non-diffusion corrected sedimentation coefficient distribution, free of assumptions, for extracting full absorption spectra of specific populations within a given s value range45. Deconvolution of component concentration profiles from MWL data sets were performed using SEDANAL45 and Ultrascan 346. All plots of AUC raw data, best fits and residuals were created with the software GUSSI, which can be downloaded from the MBR Software Page (http://biophysics.swmed.edu/MBR/software.html). Data plots of c(s) and distributions were created by in-house developed software. Movies of sedimentation velocity experiments were generated by LabView-based MWL data viewer written by Dirk Haffke (Universität Konstanz) (http://wiki.bcf2.uthscsa.edu/openAUC/wiki/WikiStart).
SAXS experiments and data analysis
SAXS experiments were performed at beamline BM2947 at the European Synchrotron Radiation Facility (ESRF, Grenoble, France) using 12.5 keV X-ray radiation with a wavelength of 0.992 Å, and a PILATUS 1 M 2D detector. All measurements were carried out at 10 °C. For each TeLPOR protein sample (apo and holoprotein), 3-4 samples with concentrations between approx. 0.5 mg ml−1 and 7 mg ml−1 were measured in 20 mM Tris/HCl buffer pH 7.5 supplemented with 500 mM NaCl and 20% (v/v) glycerol. The exact protein concentrations of the measured LPOR samples are listed in Supplementary Tables 1 and 2. All holoprotein samples were prepared in the dark. The samples were continuously purged through a 1 mm quartz capillary at a flow rate of 2.3 µl/s. During the SAXS measurement a camera monitors sample flow through the quartz capillary employing a cold-light source for illumination. To avoid excitation of the TeLPOR holoprotein samples by the cold-light source, a filter was employed that blocks incident light outside the 275–375 nm spectral window. The buffer reference was measured before and after each protein sample. For each sample/reference ten frames with an exposure time of 3 seconds each were recorded and merged. No radiation damage was observed. The data was scaled by the protein concentration and extrapolated to infinite dilution. Scattering data was analysed employing the ATSAS software package28. SAXS data was inspected visually for the presence of aggregation based on the Guinier-Plot. I(0) (in cm−1) and the Porod volume (Vp), were used to estimate the molecular mass M of the scattering particle. The latter was calculated with DATPOROD. M from Vp was obtained by multiplication of Vp with the reported protein density of 0.588 g ml−128. For the final apoprotein dataset (apo 2), data obtained for low and high concentration samples was merged (see Supplementary Tables 1 and 2). Lower concentration data was used for the smaller q-range, while the data at higher concentration was used for the high q-range. As final dataset for the TeLPOR holoprotein, the SAXS data of a high concentration sample (5.0 mg ml−1) was used directly. The distance distribution function P(r) was determined using the program DATGNOM48. Ab initio models of the monomeric apoprotein were built employing the programs GASBORP (fitting the real-space P(r) function)49, DAMMIF50 and DAMMIN51. For each LPOR dataset 20 ab initio bead models were generated. The resulting ab initio models were averaged using DAMAVER. Overall, DAMMIN, DAMMIF and GASBORP yielded very similar models (Fig. 3j) with SUPCOMB derived normalized spatial discrepancies (NSD) between 0.482 (DAMMIN models vs. DAMMIF model) and 0.531 (GASBORP vs. DAMMIF model). The corresponding averaged and filtered models generated by the individual programs were very similar, i.e. expressed as NSD (DAMMIF: NSD = 0.497 ± 0.027; DAMMIN: NSD = 0.519 ± 0.011; GASBORP: NSD = 0.918 ± 0.025). To rule out any effect of merging low and high concentration data, we also reconstructed an ab initio model for a single low concentration dataset (0.91 mg ml−1) using DAMMIF, which basically yields the same overall shape as the models generated using merged data (Supplementary Fig. 11d). Theoretical scattering curves of monomeric TeLPOR apoprotein homology models (built as described in the Supplementary Discussion Section 1.4) were fitted to the experimental SAXS data using the program CRYSOL52.
Ab initio models of the dimeric holoprotein were built using GASBORMX49, which generates ab initio bead models of the symmetric oligomer while assuming a polydisperse sample containing a certain fraction of monomers. A fixed monomer fraction of 0.58 was used and 20 ab initio dimer models (under P2 symmetry) were built. The individual ab initio models were averaged and filtered using the DAMAVER programm53. All 20 models were grossly similar with an NSD value of 1.197 ± 0.025. For the corresponding averaged and filtered models of the apo and holoprotein envelope functions were determined using the program pdb2vol of the SITUS package54. The molecular mass was estimated from excluded volume of the filtered model by dividing the respective values by 228. Atomic models of the dimeric ternary complex (built as described in the Supplementary Information) were evaluated by comparing the OLIGOMER-derived55 theoretical scattering curve of monomer/dimer mixture to the experimental scattering data of the holoprotein. Form factor files for the monomer and the corresponding dimer were generated from the respective pdb file using FFMAKER. During homology model evaluation, missing N- and C-terminal structural elements, as well as internal, potentially disordered, elements, were modeled as flexible ensemble with EOM56, using an initial pool of 10.000 random coil-like conformations, and by employing three rounds of genetic algorithm selection.
TeLPOR activity assays
Purified, reconstituted holoprotein samples were diluted with reaction buffer (20 mM Tris pH 7.5 buffer supplemented with 500 mM NaCl, 20% (v/v) glycerol) in 10 × 10 mm quartz-glass cuvettes. Additives (70 µM DTT, 0.03% (v/v) Triton X-100) were added separately to the reaction. Subsequently, the assay mixture was equilibrated for 5 min at 25 °C in the dark. A blue-light emitting LED (450 nm; 2.6 mW cm−2) was mounted on top of the cuvette, and light-dependent Pchlide turnover was initiated by illuminating the assay mixture employing cycles of 6 s blue-light illumination followed by 12 s in the dark during which a absorption spectrum (620 nm to 720 nm) was recorded. Pulsed illumination was achieved by using a microcontroller-controlled LED driver (Arduino UNO (Smart Projects, Italy))40. Activity tests for the truncated TeLPOR variants, using either purified protein or cell-free lysates, were performed as described previously40. In brief, protein samples (TeLPOR wild type: 0.17 µM; truncated TeLPOR variants: 1.4 µM) or cell free lysates were diluted with reaction buffer, and NADPH (dissolved in reaction buffer) and Pchlide (dissolved in methanol) were added to a final concentration of 160 µM and 3.5 µM, respectively. Additives (70 µM DTT, 0.03% (v/v) Triton X-100) were added separately to the reaction. After 5 min incubation at 25 °C, samples were illuminated for variable times. Data was analysed using a home-written shell script, which filters and removes spectra that contain illumination events.
Molecular modelling and molecular dynamics (MD) simulation
The initial TeLPOR Rossmann-fold core domain model (residues 1-280) was built by using the previously published model of the LPOR of Synechocystis sp. (SsLPOR)14 as template, resulting in the TeLPOR Rossmann-fold core domain model (TeLPOR core). This model was subsequently extended C-terminally by loop modeling57 with YASARA Structure Version 16.6.2458,59, yielding the models TeLPOR-Chelix, TeLPOR-Cloop1helix and TeLPOR-Cloop2helix (Fig. 3a, Supplementary Fig. 10a). The C-terminal helical extension was manually built into the SAXS-derived DAMMIN/DAMMIF/GASBORP envelopes using YASARA Structure by relying on secondary structure information provided by secondary structure prediction (NPS@ consensus secondary structure prediction web server60; Supplementary Fig. 7a), the Phyre2 (Supplementary Fig. 7b)61 and I-TASSER62 homology modeling servers). Additionally, homology models of the TeLPOR full-length protein 1-322 (UniProt ID: Q8DLC1) were generated using the Phyre2,61 and I-TASSER62 web server. Both methods predict a NADPH binding Rossmann-fold core domain (residues 1-280) with a predominantly helical C-terminal extension (see Phyre2 secondary structure prediction report; Supplementary Fig. 7b). This secondary structure assignment is also supported by consensus secondary structure prediction using the NPS@ web server60 (Supplementary Fig. 7a). Phyre2 identified 3 best homologs with 100% confidence and ~21% sequence identity (template X-ray structures: salutaridine reductase (PDB ID: 3O26)63; 20β-hydroxysteroid dehydrogenase (PDB ID: 1N5D31; human CBR1 (PDB ID: 1WMA)64 for the core domain. The C-terminal domain could be modeled as helical extension using the crystal structure of human mitochondrial 2,4-dienoyl-CoA reductase (PDB ID: 1W6U)65 and human 17β-hydroxysteroid dehydrogenase (PDB ID: 1ZBQ) (unpublished) as template. I-TASSER predicted the helical C-terminal domain packed to the Rossmann-fold core domain (Supplementary Fig. 8).
Molecular dynamics simulations were performed employing the AMBER14 force field66 for protein atoms and the general AMBER force field (GAFF)67 for Pchlide and NADPH. The partial charges were derived using AM1-BCC point charge model68. To correct the covalent geometry, the structure was energy-minimized with using a 8.0 A force cutoff and the Particle Mesh Ewald algorithm69 to treat long-range electrostatic interactions. After removal of conformational stress by a short steepest descent minimization, the procedure continued by simulated annealing (timestep 2 fs, atom velocities scaled down by 0.9 every 10th step) until convergence was reached, i.e. the energy improved by less than 0.05 kJ/mol per atom during 200 steps. The protein models were further relaxed by molecular dynamics simulations using a TIP3P70 water box of 15 Å around the protein using pH 7.5 buffer supplemented with 500 mM NaCl and 20% (v/v) glycerol, according to the experimental conditions. The system was slowly heated to 298 K using a scaled Berendsen thermostat71 and a pressure of 1 bar was applied, using the classical Berendsen barostat formula as implemented in YASARA during the equilibration and production phase. All angles and bond lengths to hydrogen were constraint72 to enable faster simulations using a timestep of 5 fs and trajectory snapshots were saved ever 250 ps. The geometry of the trajectories were evaluated using YASARA Structure and VMD 1.9.273. Figures were generated with Pymol 1.7.0.0 (Schrödinger, LCC, New York, NY, USA) or VMD 1.9.2.
Sequence conservation analysis
A sequence logo (Fig. 4b), to analyse sequence conservation within the LPOR enzyme family, was generated with Weblogo 374 employing a multiple sequence alignment of 315 LPOR sequences from plants and cyanobacteria. Residues are colored according to type, with hydrophobic residues shown in black, negatively charged residues in red, positively charged residues in blue, neutral amidic residues in purple and polar residues in green.
Statistics and Reproducibility
SAXS experiments were performed for three (apoprotein) or one (holoprotein) TeLPOR samples in a concentration series, showing low sample to sample variability. The complete datasets and the derived data are shown in Supplementary Figs. 4–6 and Supplementary Table 2. MWA-AUC analyses were performed for independently prepared apo- and holoprotein TeLPOR samples, yielding results in excellent agreement with similarly prepared SAXS samples. TeLPOR activity measurements were performed before all SAXS/MWA-AUC samples to verify enzyme functionality. Truncated TeLPOR constructs were measured at least twice, for independently prepared crude extract samples and the respective purified proteins.
Reporting Summary
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Supplementary information
Acknowledgements
We acknowledge the European Synchrotron Radiation Facility (ESRF) for provision of synchrotron radiation facilities and thank Dr. Martha Brennich for assistance in using beamline BM29. F.K. gratefully acknowledges Tina Franke (Nanolytics Instruments) and Doreen Freund (Nanolytics) for excellent technical assistance. JS and UK acknowledge funding by the Deutsche Forschungsgemeinschaft (DFG) (Grant “Origin, phylogeny, evolution and structural basis of light-driven protochlorophyllide reduction”; KR 3756/1-1). Simulations were performed with computing resources granted by JARA-HPC from RWTH Aachen University under project JARA0065.
Author contributions
J.S. generated all constructs, expressed and purified the protein, isolated the Pchlide substrate, prepared samples for MWA-AUC and SAXS analyses, and performed activity measurements. F.K. performed MWA-AUC experiments, analysed and interpreted the corresponding data. M.B. and M.D.D. performed the protein modelling studies and molecular dynamics simulations and analysed the data. U.K. conceived the study, designed the experiments, performed SAXS measurements and analysed and interpreted the data with the help of A.M.S. K.E.J. and U.S. contributed to the manuscript. J.K., U.K. wrote the manuscript with contributions from all authors.
Data Availability
All source data used to generate the figures of this manuscript are available as Supplementary Materials (Supplementary Data 1 and 2). MWA-AUC raw data, pdb coordinate files of all models and MD simulation trajectories were deposited at the Zenodo data repository75 (www.zenodo.org) under 10.5281/zenodo.3375375. Datasets generated and/or analysed during the current study are also available from the corresponding author upon reasonable request.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Supplementary information accompanies this paper at 10.1038/s42003-019-0590-4.
References
- 1.Gabruk M, Mysliwa-Kurdziel B. Light-dependent protochlorophyllide oxidoreductase: phylogeny, regulation, and catalytic properties. Biochemistry. 2015;54:5255–5262. doi: 10.1021/acs.biochem.5b00704. [DOI] [PubMed] [Google Scholar]
- 2.Heyes DJ, Hunter CN. Making light work of enzyme catalysis: protochlorophyllide oxidoreductase. Trends Biochemical Sci. 2005;30:642–649. doi: 10.1016/j.tibs.2005.09.001. [DOI] [PubMed] [Google Scholar]
- 3.Reinbothe C, et al. Chlorophyll biosynthesis: spotlight on protochlorophyllide reduction. Trends Plant Sci. 2010;15:614–624. doi: 10.1016/j.tplants.2010.07.002. [DOI] [PubMed] [Google Scholar]
- 4.Schoefs B, Franck F. Protochlorophyllide reduction: mechanisms and evolution. Photochemistry Photobiol. 2003;78:543–557. doi: 10.1562/0031-8655(2003)078<0543:PRMAE>2.0.CO;2. [DOI] [PubMed] [Google Scholar]
- 5.Heyes DJ, Ruban AV, Wilks HM, Hunter CN. Enzymology below 200 K: the kinetics and thermodynamics of the photochemistry catalyzed by protochlorophyllide oxidoreductase. Proc. Natl Acad. Sci. USA. 2002;99:11145–11150. doi: 10.1073/pnas.182274199. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Archipowa N, Kutta RJ, Heyes DJ, Scrutton NS. Stepwise hydride transfer in a biological system: insights into the reaction mechanism of the light-dependent protochlorophyllide oxidoreductase. Angew. Chem. 2018;57:2682–2686. doi: 10.1002/anie.201712729. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Heyes DJ, et al. Excited-state charge separation in the photochemical mechanism of the light-driven enzyme protochlorophyllide oxidoreductase. Angew. Chem. 2015;54:1512–1515. doi: 10.1002/anie.201409881. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Heyes DJ, et al. The first catalytic step of the light-driven enzyme protochlorophyllide oxidoreductase proceeds via a charge transfer complex. J. Biol. Chem. 2006;281:26847–26853. doi: 10.1074/jbc.M602943200. [DOI] [PubMed] [Google Scholar]
- 9.Heyes DJ, Sakuma M, de Visser SP, Scrutton NS. Nuclear quantum tunneling in the light-activated enzyme protochlorophyllide oxidoreductase. J. Biol. Chem. 2009;284:3762–3767. doi: 10.1074/jbc.M808548200. [DOI] [PubMed] [Google Scholar]
- 10.Menon BR, Hardman SJ, Scrutton NS, Heyes DJ. Multiple active site residues are important for photochemical efficiency in the light-activated enzyme protochlorophyllide oxidoreductase (POR) J. Photochem. Photobiol. B Biol. 2016;161:236–243. doi: 10.1016/j.jphotobiol.2016.05.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Sytina OA, et al. Conformational changes in an ultrafast light-driven enzyme determine catalytic activity. Nature. 2008;456:1001–1004. doi: 10.1038/nature07354. [DOI] [PubMed] [Google Scholar]
- 12.Sytina OA, van Stokkum IH, Heyes DJ, Hunter CN, Groot ML. Spectroscopic characterization of the first ultrafast catalytic intermediate in protochlorophyllide oxidoreductase. Phys. Chem. Chem. Phys. 2012;14:616–625. doi: 10.1039/C1CP21713E. [DOI] [PubMed] [Google Scholar]
- 13.Buhr F, et al. Photoprotective role of NADPH: protochlorophyllide oxidoreductase A. Proc. Natl Acad. Sci. USA. 2008;105:12629–12634. doi: 10.1073/pnas.0803950105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Townley HE, Sessions RB, Clarke AR, Dafforn TR, Griffiths WT. Protochlorophyllide oxidoreductase: A homology model examined by site-directed mutagenesis. Proteins. 2001;44:329–335. doi: 10.1002/prot.1098. [DOI] [PubMed] [Google Scholar]
- 15.Dahlin C, et al. The role of protein surface charge in catalytic activity and chloroplast membrane association of the pea NADPH: protochlorophyllide oxidoreductase (POR) as revealed by alanine scanning mutagenesis. Plant Mol. Biol. 1999;39:309–323. doi: 10.1023/A:1006135100760. [DOI] [PubMed] [Google Scholar]
- 16.Gabruk M, Grzyb J, Kruk J, Mysliwa-Kurdziel B. Light-dependent and light-independent protochlorophyllide oxidoreductases share similar sequence motifs -in silico studies. Photosynthetica. 2012;50:529–540. doi: 10.1007/s11099-012-0057-z. [DOI] [Google Scholar]
- 17.Gholami S, et al. Theoretical Model of the Protochlorophyllide Oxidoreductase from a Hierarchy of Protocols. J. Phys. Chem. B. 2018;122:7668–7681. doi: 10.1021/acs.jpcb.8b04231. [DOI] [PubMed] [Google Scholar]
- 18.Martin GEM, Timko MP, Wilks HM. Purification and kinetic analysis of pea (Pisum sativum L) NADPH:Protochlorophyllide oxidoreductase expressed as a fusion with maltose-binding protein in Escherichia coli. Biochem J. 1997;325:139–145. doi: 10.1042/bj3250139. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Yuan M, et al. Assembly of NADPH:protochlorophyllide oxidoreductase complex is needed for effective greening of barley seedlings. J. Plant Physiol. 2012;169:1311–1316. doi: 10.1016/j.jplph.2012.05.010. [DOI] [PubMed] [Google Scholar]
- 20.Gabruk M, et al. Insight into the oligomeric structure of PORA from A. thaliana. Bba-Proteins Proteom. 2016;1864:1757–1764. doi: 10.1016/j.bbapap.2016.09.015. [DOI] [PubMed] [Google Scholar]
- 21.Nielsen OF, Kahn A. Kinetics and quantum yield of photoconversion of protochlorophyll(ide) to chlorophyll(ide) a. Biochimica et. biophysica acta. 1973;292:117–129. doi: 10.1016/0005-2728(73)90256-9. [DOI] [PubMed] [Google Scholar]
- 22.Schopfer P, Siegelman HW. Purification of protochlorophyllide holochrome. Plant Physiol. 1968;43:990–996. doi: 10.1104/pp.43.6.990. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Lebedev N, Karginova O, McIvor W, Timko MP. Tyr275 and Lys279 stabilize NADPH within the catalytic site of NADPH: protochlorophyllide oxidoreductase and are involved in the formation of the enzyme photoactive state. Biochemistry. 2001;40:12562–12574. doi: 10.1021/bi0105025. [DOI] [PubMed] [Google Scholar]
- 24.Heyes DJ, Ruban AV, Hunter CN. Protochlorophyllide oxidoreductase: “dark” reactions of a light-driven enzyme. Biochemistry. 2003;42:523–528. doi: 10.1021/bi0268448. [DOI] [PubMed] [Google Scholar]
- 25.Heyes DJ, Menon BRK, Sakuma M, Scrutton NS. Conformational events during ternary enzyme-substrate complex formation are rate limiting in the catalytic cycle of the light-driven enzyme protochlorophyllide oxidoreductase. Biochemistry. 2008;47:10991–10998. doi: 10.1021/bi801521c. [DOI] [PubMed] [Google Scholar]
- 26.Heyes DJ, Hunter CN. Identification and characterization of the product release steps within the catalytic cycle of protochlorophyllide oxidoreductase. Biochemistry. 2004;43:8265–8271. doi: 10.1021/bi049576h. [DOI] [PubMed] [Google Scholar]
- 27.Birve SJ, Selstam E, Johansson LB. Secondary structure of NADPH: protochlorophyllide oxidoreductase examined by circular dichroism and prediction methods. Biochem J. 1996;317:549–555. doi: 10.1042/bj3170549. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Petoukhov MV, et al. New developments in the ATSAS program package for small-angle scattering data analysis. J. Appl Crystallogr. 2012;45:342–350. doi: 10.1107/S0021889812007662. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Kozakov D, et al. The ClusPro web server for protein-protein docking. Nat. Protoc. 2017;12:255–278. doi: 10.1038/nprot.2016.169. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Kavanagh KL, Jornvall H, Persson B, Oppermann U. Medium- and short-chain dehydrogenase/reductase gene and protein families: the SDR superfamily: functional and structural diversity within a family of metabolic and regulatory enzymes. Cell. Mol. life Sci.: CMLS. 2008;65:3895–3906. doi: 10.1007/s00018-008-8588-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Ghosh D, et al. Porcine carbonyl reductase. structural basis for a functional monomer in short chain dehydrogenases/reductases. J. Biol. Chem. 2001;276:18457–18463. doi: 10.1074/jbc.M100538200. [DOI] [PubMed] [Google Scholar]
- 32.Ghosh D, Wawrzak Z, Weeks CM, Duax WL, Erman M. The Refined 3-Dimensional Structure of 3-Alpha,20-Beta-Hydroxysteroid Dehydrogenase and Possible Roles of the Residues Conserved in Short-Chain Dehydrogenases. Structure. 1994;2:629–640. doi: 10.1016/S0969-2126(00)00064-2. [DOI] [PubMed] [Google Scholar]
- 33.Tanaka N, et al. Crystal structures of the binary and ternary complexes of 7 alpha-hydroxysteroid dehydrogenase from Escherichia coli. Biochemistry. 1996;35:7715–7730. doi: 10.1021/bi951904d. [DOI] [PubMed] [Google Scholar]
- 34.Shi R, Lin SX. Cofactor hydrogen bonding onto the protein main chain is conserved in the short chain dehydrogenase/reductase family and contributes to nicotinamide orientation. J. Biol. Chem. 2004;279:16778–16785. doi: 10.1074/jbc.M313156200. [DOI] [PubMed] [Google Scholar]
- 35.Muraki N, et al. X-ray crystal structure of the light-independent protochlorophyllide reductase. Nature. 2010;465:110–114. doi: 10.1038/nature08950. [DOI] [PubMed] [Google Scholar]
- 36.Yamazawa R, Nakajima Y, Mushiake K, Yoshimoto T, Ito K. Crystal structure of serine dehydrogenase from Escherichia coli: important role of the C-terminal region for closed-complex formation. J. Biochem. 2011;149:701–712. doi: 10.1093/jb/mvr024. [DOI] [PubMed] [Google Scholar]
- 37.Kahn A, Boardman NK, Thorne SW. Energy transfer between protochlorophyllide molecules: evidence for multiple chromophores in the photoactive protochlorophyllide-protein complex vivo and in vitro. J. Mol. Biol. 1970;48:85–101. doi: 10.1016/0022-2836(70)90220-2. [DOI] [PubMed] [Google Scholar]
- 38.Reinbothe S, Pollmann S, Reinbothe C. In situ conversion of protochlorophyllide b to protochlorophyllide a in barley. Evidence for a novel role of 7-formyl reductase in the prolamellar body of etioplasts. J. Biol. Chem. 2003;278:800–806. doi: 10.1074/jbc.M209737200. [DOI] [PubMed] [Google Scholar]
- 39.Studier FW. Protein production by auto-induction in high density shaking cultures. Protein Expr. Purif. 2005;41:207–234. doi: 10.1016/j.pep.2005.01.016. [DOI] [PubMed] [Google Scholar]
- 40.Kaschner M, et al. Discovery of the first light-dependent protochlorophyllide oxidoreductase in anoxygenic phototrophic bacteria. Mol. Microbiol. 2014;93:1066–1078. doi: 10.1111/mmi.12719. [DOI] [PubMed] [Google Scholar]
- 41.Yang ZM, Bauer CE. Rhodobacter capsulatus genes involved in early steps of the bacteriochlorophyll biosynthetic pathway. J. Bacteriol. 1990;172:5001–5010. doi: 10.1128/jb.172.9.5001-5010.1990. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Heyes DJ, Martin GE, Reid RJ, Hunter CN, Wilks HM. NADPH:protochlorophyllide oxidoreductase from Synechocystis: overexpression, purification and preliminary characterisation. FEBS Lett. 2000;483:47–51. doi: 10.1016/S0014-5793(00)02081-0. [DOI] [PubMed] [Google Scholar]
- 43.Klement H, Helfrich M, Oster U, Schoch S, Rudiger W. Pigment-free NADPH:protochlorophyllide oxidoreductase from Avena sativa L. Purification and substrate specificity. Eur. J. Biochem. 1999;265:862–874. doi: 10.1046/j.1432-1327.1999.00627.x. [DOI] [PubMed] [Google Scholar]
- 44.Pearson JZ, et al. Next-Generation AUC Adds a Spectral Dimension: Development of Multiwavelength Detectors for the Analytical Ultracentrifuge. Method Enzymol. 2015;562:1–26. doi: 10.1016/bs.mie.2015.06.033. [DOI] [PubMed] [Google Scholar]
- 45.Walter J, et al. Simultaneous Analysis of Hydrodynamic and Optical Properties Using Analytical Ultracentrifugation Equipped with Multiwavelength Detection. Anal. Chem. 2015;87:3396–3403. doi: 10.1021/ac504649c. [DOI] [PubMed] [Google Scholar]
- 46.Zhang J, et al. Spectral and Hydrodynamic Analysis of West Nile Virus RNA-Protein Interactions by Multiwavelength Sedimentation Velocity in the Analytical Ultracentrifuge. Anal. Chem. 2017;89:862–870. doi: 10.1021/acs.analchem.6b03926. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Pernot P, et al. Upgraded ESRF BM29 beamline for SAXS on macromolecules in solution. J. Synchrotron Radiat. 2013;20:660–664. doi: 10.1107/S0909049513010431. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Petoukhov MV, Konarev PV, Kikhney AG, Svergun DI. ATSAS 2.1 - towards automated and web-supported small-angle scattering data analysis. J. Appl Crystallogr. 2007;40:S223–S228. doi: 10.1107/S0021889807002853. [DOI] [Google Scholar]
- 49.Svergun DI, Petoukhov MV, Koch MHJ. Determination of domain structure of proteins from X-ray solution scattering. Biophys. J. 2001;80:2946–2953. doi: 10.1016/S0006-3495(01)76260-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Franke D, Svergun DI. DAMMIF, a program for rapid ab-initio shape determination in small-angle scattering. J. Appl Crystallogr. 2009;42:342–346. doi: 10.1107/S0021889809000338. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Svergun DI. Restoring low resolution structure of biological macromolecules from solution scattering using simulated annealing (vol 76, pg 2879, 1999) Biophys. J. 1999;77:2896–2896. doi: 10.1016/S0006-3495(99)77121-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Svergun D, Barberato C, Koch MHJ. CRYSOL - A program to evaluate x-ray solution scattering of biological macromolecules from atomic coordinates. J. Appl Crystallogr. 1995;28:768–773. doi: 10.1107/S0021889895007047. [DOI] [Google Scholar]
- 53.Volkov VV, Svergun DI. Uniqueness of ab initio shape determination in small-angle scattering. J. Appl Crystallogr. 2003;36:860–864. doi: 10.1107/S0021889803000268. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Wriggers W. Conventions and workflows for using Situs. Acta Crystallogr D. 2012;68:344–351. doi: 10.1107/S0907444911049791. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Konarev PV, Volkov VV, Sokolova AV, Koch MHJ, Svergun DI. PRIMUS: a Windows PC-based system for small-angle scattering data analysis. J. Appl Crystallogr. 2003;36:1277–1282. doi: 10.1107/S0021889803012779. [DOI] [Google Scholar]
- 56.Bernado P, Mylonas E, Petoukhov MV, Blackledge M, Svergun DI. Structural characterization of flexible proteins using small-angle X-ray scattering. J. Am. Chem. Soc. 2007;129:5656–5664. doi: 10.1021/ja069124n. [DOI] [PubMed] [Google Scholar]
- 57.Canutescu AA, Dunbrack RL., Jr. Cyclic coordinate descent: A robotics algorithm for protein loop closure. Protein Sci. 2003;12:963–972. doi: 10.1110/ps.0242703. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Krieger E, Vriend G. YASARA View-molecular graphics for all devices-from smartphones to workstations. Bioinformatics. 2014;30:2981–2982. doi: 10.1093/bioinformatics/btu426. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Krieger E, Vriend G. New ways to boost molecular dynamics simulations. J. computational Chem. 2015;36:996–1007. doi: 10.1002/jcc.23899. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Combet C, Blanchet C, Geourjon C, Deleage G. NPS@: Network Protein Sequence Analysis. Trends biochemical Sci. 2000;25:147–150. doi: 10.1016/S0968-0004(99)01540-6. [DOI] [PubMed] [Google Scholar]
- 61.Kelley LA, Mezulis S, Yates CM, Wass MN, Sternberg MJ. The Phyre2 web portal for protein modeling, prediction and analysis. Nat. Protoc. 2015;10:845–858. doi: 10.1038/nprot.2015.053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Zhang Y. I-TASSER server for protein 3D structure prediction. BMC Bioinforma. 2008;9:40. doi: 10.1186/1471-2105-9-40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Higashi Y, Kutchan TM, Smith TJ. Atomic structure of salutaridine reductase from the opium poppy (Papaver somniferum) J. Biol. Chem. 2011;286:6532–6541. doi: 10.1074/jbc.M110.168633. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Tanaka M, et al. An unbiased cell morphology-based screen for new, biologically active small molecules. PLoS Biol. 2005;3:e128. doi: 10.1371/journal.pbio.0030128. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Alphey MS, Yu W, Byres E, Li D, Hunter WN. Structure and reactivity of human mitochondrial 2,4-dienoyl-CoA reductase: enzyme-ligand interactions in a distinctive short-chain reductase active site. J. Biol. Chem. 2005;280:3068–3077. doi: 10.1074/jbc.M411069200. [DOI] [PubMed] [Google Scholar]
- 66.Hornak V, et al. Comparison of multiple amber force fields and development of improved protein backbone parameters. Proteins-Struct. Funct. Bioinforma. 2006;65:712–725. doi: 10.1002/prot.21123. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Wang J, Wolf RM, Caldwell JW, Kollman PA, Case DA. Development and testing of a general amber force field. J. computational Chem. 2004;25:1157–1174. doi: 10.1002/jcc.20035. [DOI] [PubMed] [Google Scholar]
- 68.Jakalian A, Jack DB, Bayly CI. Fast, efficient generation of high-quality atomic charges. AM1-BCC model: II. Parameterization and validation. J. computational Chem. 2002;23:1623–1641. doi: 10.1002/jcc.10128. [DOI] [PubMed] [Google Scholar]
- 69.Krieger E, Nielsen JE, Spronk CA, Vriend G. Fast empirical pKa prediction by Ewald summation. J. Mol. Graph. Model. 2006;25:481–486. doi: 10.1016/j.jmgm.2006.02.009. [DOI] [PubMed] [Google Scholar]
- 70.Miyamoto S, Kollman PA. Settle - an Analytical Version of the Shake and Rattle Algorithm for Rigid Water Models. J. computational Chem. 1992;13:952–962. doi: 10.1002/jcc.540130805. [DOI] [Google Scholar]
- 71.Krieger E, Darden T, Nabuurs SB, Finkelstein A, Vriend G. Making optimal use of empirical energy functions: Force-field parameterization in crystal space. Proteins-Struct. Funct. Bioinforma. 2004;57:678–683. doi: 10.1002/prot.20251. [DOI] [PubMed] [Google Scholar]
- 72.Hess B, Bekker H, Berendsen HJC, Fraaije JGEM. LINCS: A linear constraint solver for molecular simulations. J. computational Chem. 1997;18:1463–1472. doi: 10.1002/(SICI)1096-987X(199709)18:12<1463::AID-JCC4>3.0.CO;2-H. [DOI] [Google Scholar]
- 73.Humphrey W, Dalke A, Schulten K. VMD: visual molecular dynamics. J. Mol. Graph. 1996;14:33–38. doi: 10.1016/0263-7855(96)00018-5. [DOI] [PubMed] [Google Scholar]
- 74.Crooks GE, Hon G, Chandonia JM, Brenner SE. WebLogo: a sequence logo generator. Genome Res. 2004;14:1188–1190. doi: 10.1101/gr.849004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Schneidewind J, et al. Modelling and simulation data for a cyanobacterial light-dependent protochlorophyllide oxidoreductase [Data set] Zenodo. 2019 doi: 10.5281/zenodo.3375375. [DOI] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All source data used to generate the figures of this manuscript are available as Supplementary Materials (Supplementary Data 1 and 2). MWA-AUC raw data, pdb coordinate files of all models and MD simulation trajectories were deposited at the Zenodo data repository75 (www.zenodo.org) under 10.5281/zenodo.3375375. Datasets generated and/or analysed during the current study are also available from the corresponding author upon reasonable request.