Skip to main content
eLife logoLink to eLife
. 2021 Jan 19;10:e62047. doi: 10.7554/eLife.62047

Atomic structures of respiratory complex III2, complex IV, and supercomplex III2-IV from vascular plants

Maria Maldonado 1, Fei Guo 1,2, James A Letts 1,
Editors: Kenton J Swartz3, Andrew P Carter4
PMCID: PMC7815315  PMID: 33463523

Abstract

Mitochondrial complex III (CIII2) and complex IV (CIV), which can associate into a higher-order supercomplex (SC III2+IV), play key roles in respiration. However, structures of these plant complexes remain unknown. We present atomic models of CIII2, CIV, and SC III2+IV from Vigna radiata determined by single-particle cryoEM. The structures reveal plant-specific differences in the MPP domain of CIII2 and define the subunit composition of CIV. Conformational heterogeneity analysis of CIII2 revealed long-range, coordinated movements across the complex, as well as the motion of CIII2’s iron-sulfur head domain. The CIV structure suggests that, in plants, proton translocation does not occur via the H channel. The supercomplex interface differs significantly from that in yeast and bacteria in its interacting subunits, angle of approach and limited interactions in the mitochondrial matrix. These structures challenge long-standing assumptions about the plant complexes and generate new mechanistic hypotheses.

Research organism: Other

eLife digest

Most living things including plants and animals use respiration to release energy from food. Respiration requires the activity of five large protein complexes typically called complex I, II, III, IV and V. Sometimes these complexes combine to form supercomplexes. The complexes are similar across plants, animals and other living things, but there are also many differences.

Detailed structures of the respiratory complexes have been determined for many species of animals, fungi and bacteria, highlighting similarities and differences between organisms, and providing clues as to how respiration works. Yet, there is still a lot to learn about these complexes in plants.

To bridge this gap, Maldonado et al. used a technique called cryo electron microscopy to study the structure of complexes III and IV and the supercomplex they form in the mung bean. This is the first study of the detailed structure of these two complexes in plants. The results showed many similarities to other species, as well as several features that are specific to plants. The way the two complexes interact to form a supercomplex is different than in other species, as are several other, smaller, structural features. Further examination of complex III revealed that it is flexible and that movements are coordinated across the length of the complex. Maldonado et al. speculate that this may allow it to coordinate its role in respiration with its other cellular roles.

Understanding how plant respiratory complexes work could lead to improvements in crop yields or, since respiration is required for survival, result in the development of herbicides that block respiration in plants more effectively and specifically. Further researching the structure of the plant respiratory complexes and supercomplexes could also shed light on how plants adapt to different environments, including how they change to survive global warming.

Introduction

The canonical mitochondrial electron transport chain (mETC), composed of four integral membrane protein complexes (complexes I–IV; CI–CIV) located in the inner mitochondrial membrane (IMM), transfers electrons from NADH and succinate to molecular oxygen. The concomitant pumping of protons (H+) across the IMM establishes an electrochemical proton gradient that is used by ATP synthase to produce ATP (Nicholls, 2013). Whereas the atomic details of the respiratory complexes and several supercomplexes (higher-order complex assemblies) are known for yeast, mammals and bacteria (Vinothkumar et al., 2014; Fiedorczuk et al., 2016; Gu et al., 2016; Letts et al., 2016; Wu et al., 2016; Zhu et al., 2016; Zickermann et al., 2015; Blaza et al., 2018; Guo et al., 2017; Letts et al., 2019; Agip et al., 2018; Parey et al., 2018), the high-resolution structural details of the respiratory complexes and supercomplexes of plants have remained mostly unknown.

Complex III (CIII2), also called the cytochrome bc1 complex or ubiquinol-cytochrome c oxidoreductase, is an obligate dimer that transfers electrons from ubiquinol in the IMM (reduced by CI, CII, or alternative NADH dehydrogenases) to soluble cytochrome c in the intermembrane space (IMS) (Nicholls, 2013). This redox reaction is coupled to the pumping four H+ to the IMS. CIII2 is composed of three conserved subunits present in all organisms (cytochrome b, COB; cytochrome c1, CYC1; and the iron-sulfur ‘Rieske’ subunit, UCR1), as well as a varying number of accessory subunits present in eukaryotes (Iwata et al., 1998; Xia et al., 2013; Xia et al., 1997). Each CIII monomer contains one low-potential heme b (bL) and one high-potential heme b (bH) in COB, a heme c in CYC1, a 2Fe-2S iron-sulfur cluster in UCR1, as well as two quinone-binding sites (QP and QN close to the positive/IMS and negative/matrix sides respectively) in COB. Given that CIII2 is a dimer, these sites in each CIII monomer are symmetrical within the dimer in isolation. However, the symmetry may be broken when CIII assembles into asymmetrical supercomplexes (Letts et al., 2016; Letts et al., 2019; Letts and Sazanov, 2017). CIII2’s redox and proton pumping occur via the ‘Q-cycle’ mechanism (Cramer et al., 2011), which allows for efficient electron transfer between ubiquinol (a two-electron donor) and cyt c (a one-electron acceptor). To this end, one electron is transferred from ubiquinol in the Qp site to the 2Fe-2S in the UCR1 head domain. The head domain then undergoes a large conformational swinging motion from its ‘proximal’ position close to the QP site to a ‘distal’ CYC1 binding site adjacent to heme c1 (Zhang et al., 1998). The electron is then transferred via heme c1 to cyt c bound to CIII2 in the IMS. Of note, the UCR1 head domain belongs to the opposite CIII protomer relative to COB and CYC1. The second electron donated by ubiquinol is transferred via hemes bL and bH to a quinone in the QN site, reducing it to ubisemiquinone. The cycle is repeated to regenerate ubiquinol in the QN site, ultimately reducing two molecules of cyt c and pumping four protons.

In eukaryotes, the large CIII2 accessory subunits exposed to the mitochondrial matrix have homology to mitochondrial processing peptidases (MPP) of the pitrilysin family (Gakh et al., 2002). These metalloendopeptidases—composed of an active β subunit and an essential but catalytically inactive α subunit—cleave mitochondrial signal sequences of proteins that are imported into the mitochondria (Gakh et al., 2002). Whereas in yeast the CIII2 accessory subunits with MPP homology (ScCor1/Cor2) have completely lost MPP enzymatic activity, the mammalian CIIIhomolog (UQCR1/UQCR2 heterodimer) retains basal activity to only one known substrate (the Rieske subunit) (Gakh et al., 2002; Taylor et al., 2001). Hence, in yeast and mammals this enzymatic activity is carried out by soluble MPP heterodimers in the mitochondrial matrix. In contrast, in vascular plants, there is no additional soluble MPP enzyme, and all MPP activity is provided by the CIII2 MPP heterodimer (MPP-α/β). Thus, in plants CIII2 serves a dual role as a respiratory enzyme and a peptidase (Braun et al., 1992; Emmermann et al., 1993; Eriksson et al., 1994; Braun et al., 1995; Eriksson et al., 1996; Braun and Schmitz, 1995a; Glaser and Dessi, 1999). This integration of respiratory and peptidase activities may have occurred early in eukaryogenesis (Braun and Schmitz, 1995b). The bioenergetic implications of this dual function of plant CIII2 remain unknown.

Complex IV (CIV), also called cytochrome c oxidase, transfers electrons from cyt c to molecular oxygen, reducing it to water (Nicholls, 2013). The redox reaction is coupled to the pumping of four protons into the IMS. Like CIII2, CIV is composed of three conserved subunits (COX1, COX2, COX3) and a variable number of accessory subunits, depending on the organism. Electrons are transferred from cyt c to oxygen via COX1’s dinuclear copper (CuA), heme a and copper-associated heme a3 (CuB, binuclear center). The passage of protons from the matrix to the IMS occurs through distinct ‘channels’ formed by protonatable amino-acid residues (Rich, 2017; Rich and Maréchal, 2013; Yoshikawa and Shimada, 2015; Wikström et al., 2018). It is currently believed that, whereas yeast CIV pumps protons through the K and D transfer pathways (named after key amino-acid residues in each pathway), mammalian CIV uses an H channel in addition to the K and D channels (Rich, 2017; Rich and Maréchal, 2013; Yoshikawa and Shimada, 2015; Wikström et al., 2018; Maréchal et al., 2020). The contribution of the K, D, H pathways in plant CIV has not been characterized.

In the IMM, respiratory complexes can be found as separate entities or as higher-order assemblies known as supercomplexes (Schägger and Pfeiffer, 2000). Although it was initially hypothesized that supercomplexes would allow for direct substrate channeling between complexes, evidence has mounted against this view (Gu et al., 2016Letts et al., 2016Letts et al., 2019Yu et al., 2018Sousa et al., 2016Blaza et al., 2014Fedor and Hirst, 2018). Instead, supercomplexes may have roles in improving the stability of the complexes, providing kinetic advantages to the electron transfer or reducing the production of reactive oxygen species or of aggregates in the IMM (Letts and Sazanov, 2017Milenkovic et al., 2017). Supercomplexes of various stoichiometries between CIII2 and CIV (e.g. SC CIII2+CIV, SC CIII2+CIV2) have been seen (Schägger and Pfeiffer, 2000; Eubel et al., 2004; Eubel et al., 2003). In plants, the CIII2-CIV supercomplex of highest abundance is a single CIII dimer with a single CIV monomer (SC III2+IV) (Eubel et al., 2004). High-resolution structures of the model yeast Saccharomyces cerevisiae and Mycobacterium smegmatis CIII2-CIV supercomplex (SC III2+IV2) have recently been determined (Hartley et al., 2019; Rathore et al., 2019; Gong et al., 2018; Wiseman et al., 2018). Although there is currently no high-resolution structure for a mammalian CIII2-CIV supercomplex, the supercomplex between CI, CIII2 and CIV (SC I+III2+IV, the respirasome) shows a distinct interaction interface between CIII2 and CIV relative to the SC III2+IV2 from yeast and bacteria (Gu et al., 2016; Letts et al., 2016). Similar to that seen in comparative tomographic studies of plant SC I+III2 and bovine and yeast SC I+III2+IV (Davies et al., 2018), the above SC III2+IV2 studies revealed that, while the general configuration of the individual CIII2 and CIV are conserved, the location of the binding interface between CIII2 and CIV in the supercomplex is divergent, with different subunits involved in the different organisms. For plant CIII2 and CIV, the only currently available structural information is from low-resolution, 2D-averages of negative-stain EM samples from A. thaliana (Dudkina et al., 2005) and potato (Bultema et al., 2009). High-resolution structures or atomic models for CIII2, CIV or their supercomplexes are not currently available for the plant kingdom.

Here we present the cryoEM structures of CIII2 and SC III2+IV from the vascular plant Vigna radiata (mung bean) at nominal resolutions of 3.2 Å and 3.8 Å, respectively. Using focused refinements around CIV, we achieved a nominal resolution for CIV of 3.8 Å. The structures reveal plant CIII2 and CIV’s active sites, as well as the plant-specific configuration of several CIII2 and CIV subunits. The structures also show the SC III2+IV binding interface and orientation, which is unique to plants. Additionally, using cryoEM 3D-conformation variability analysis (Punjani and Fleet, 2020), we were able to visualize the swinging motion of CIII2’s UCR1 head domain at 5 Å resolution in the absence of substrate or inhibitors. We also observed complex-wide coupled conformational changes in the rest of CIII2. These results question long-standing assumptions, generate new mechanistic hypotheses and provide the initial structural basis for the development of more selective agricultural inhibitors of plant CIII2 and CIV.

Results

Mitochondria were isolated from etiolated V. radiata hypocotyls. The electron transport chain complexes were extracted using the gentle detergent digitonin. The extracted complexes were further stabilized with amphipathic polymers (amphipol) and separated on a sucrose gradient. Given our interest in respiratory complex I, we pooled fractions containing NADH-dehydrogenase activity and set up cryoEM grids. Details on the sucrose gradient and NADH-dehydrogenase activity of the sample are available in Maldonado et al., 2020. Upon 2D classification of the particles in the micrographs, it became evident that the pooled fractions contained not only the complex intermediate CI* (Maldonado et al., 2020), but also CIII2 and SC III2+IV. Complex III and CIV subunits were identified in the mixed mitochondrial pooled fraction by mass spectrometry, in addition to CI subunits (Supplementary file 1a, see Materials and methods for full dataset availability). Therefore, CIII2 and SC III2+CIV were purified in silico from the micrographs we had previously used to solve the structure of CI* (Maldonado et al., 2020). This is an example of ‘bottom-up structural proteomics’ (Ho et al., 2020) on a partially purified sample, in which a single sample was used for the structural determination of multiple respiratory complexes. Processing of the CIII2 and SC III2+IV particles resulted in near-atomic reconstructions of CIII2 at 3.2 Å, of CIV at 3.8 Å and of SC III2+IV at 3.8 Å (Figure 1, Videos 13, Figure 1—figure supplements 13, Table 1, Supplementary file 1b).

Figure 1. CryoEM reconstructions for V. radiata mitochondrial CIII2, CIV and SCIII2+IV.

(A) CryoEM density map for CIII2 in isolation (not assembled into a supercomplex; see also Figure 1—figure supplement 1 and Video 1). (B) Density map for CIV, obtained from re-centered focused refinements of CIV in the supercomplex (see also Figure 1—figure supplement 2 and Video 2). (C) Composite map of SC III2+IV, assembled by combining CIII2 and CIV-focused refinements from the SC particles (see also Figure 1—figure supplements 1 and 2 and Video 3). Volume surfaces are colored by subunit (see also Videos 13 and Figures 2 and 5). The approximate position of the matrix and IMS sides of the membrane are shown with black lines.

Figure 1.

Figure 1—figure supplement 1. Initial processing and reconstructions using cryoSPARC.

Figure 1—figure supplement 1.

(A) A representative micrograph of the 8541 used for further processing (9816 collected). Scale bar, 100 nm. (B) Representative 2D class averages from reference-free classification of CIII2, SC III2+IV and CI* (last column). (C) Classification and refinement procedures used. Note that the same micrographs were used for the structural determination of V. radiata CIII2, CIV, SC III2+IV (this paper) and CI* (Maldonado et al., 2020) (green dashed box). The local resolution map and the half map gold-standard FSC curves are shown next to their respective final reconstructions.

Figure 1—figure supplement 2. Supercomplex focused classification and 3D refinement using Relion.

Figure 1—figure supplement 2.

SC III2+IV particles selected from 2D classification were first aligned using a SC III2+IV model. These aligned particles were sorted by several rounds of 3D classification using a CIV-only mask (see Materials and methods). Results from the 3D classifications were pooled and duplicate particles were removed. Particles from this set were re-extracted centered at CIII2 and CIV, generating two sets of re-centered particles. These were 3D-refined, CTF-refined and polished independently using a CIII2 and CIV mask/model, respectively. For the CIV-centered particles, an additional round of 3D classification was performed on the shiny particles. The local resolution map, a slice through the local resolution map and the half map gold-standard FSC curves are shown next to their respective final reconstructions. The locally refined maps were combined in Phenix to generate a composite map based on the best SC III2+IV reconstruction (bottom left inset; see also Figure 1—figure supplement 1).

Figure 1—figure supplement 3. Map-Model FSCs are shown for (A) CIII2 alone (see also Figure 1—figure supplement 1), (B) CIV-focused map from the supercomplex particles (see also Figure 1—figure supplement 2) and (C) the SC III2+IV composite map (see also Figure 1—figure supplement 2).

Figure 1—figure supplement 3.

Figure 1—figure supplement 4. Fractionation and activity of extracted mitochondrial membranes.

Figure 1—figure supplement 4.

(A) Digitonin-extracted, amphipol-stabilized V. radiata mitochondrial membrane sample was separated by a 15–45% (w:v) linear sucrose (suc) gradient and fractionated. Relevant fractions were pooled and concentrated as indicated by dashed boxes and labels (fractions 4–8, 9–10, 11–13, 14–18) after the in-gel activity assay in (B). (B) Select fractions of the sucrose gradient fractions from (A) were run on a BN-PAGE gel and subjected to in-gel NADH-dehydrogenase activity assay. Note that not all fractions were loaded on the gel, and that the peak on fraction 18 corresponds to aggregation, likely due to the use of old mitochondrial samples due to COVID-19-related research restrictions. (C) The activity of the pooled samples from (A) was tested with a spectroscopic activity assay from reduced-decylubiquinone to cytochrome c, in the presence or absence of 2 µM antimycin (anti) or myxothiazol (myxo). Three to five independent repeat measurements were done for each sample. The background-corrected average of the repeats is shown, together with the standard error from the mean (S.E.M., error bars). Significance (**, p<0.01; ***, p<0.001) was tested with two-tailed t-tests for each inhibitor-exposed sample with respect to the control. p-values from left to right: 0.97, 0.32, 8.0 × 10−5, 1.5 × 10−4, 4.7 × 10−6, 2.8 × 10−5, 0.0064, 0.0051. (D) The activity of the pooled samples from (A) was tested with a spectroscopic activity assay to follow the oxidation of reduced cytochrome c, in the presence or absence of 4 µM potassium cyanide (KCN). Three to four independent repeat measurements were done for each sample. The background-corrected average of the repeats is shown, together with the standard error from the mean (S.E.M., error bars). Significance (*, p<0.05; ***, p<0.001) was tested with two-tailed t-tests for each inhibitor-exposed sample with respect to the control. p-values from left to right: 0.25, 0.0398, 0.0199, 7.9 × 10−4.

Table 1. Cryo-EM data collection, reconstruction, model refinement and validation statistics.

Data Collection and processing
Microscope Titan krios (UCSF)
Camera K3 detector equipped with GIF
Magnification 60,010
Voltage (kV) 300 kV
Electron exposure (e-2) 51
Defocus range (µm) −0.5 to −2.0
Pixel size (Å) 0.8332
Software SerialEM
Reconstruction CIII2 SCIII2+IV CIII2 focused CIV-focused SC Composite
Software cryoSPARC cryoSPARC Relion Relion Phenix
Number of particles 48,111 28,020 38,410 29,348 ---
Box size (pixels) 512 512 512 512 512
Final resolution (Å) 3.2 3.8 3.7 3.8 ---
Map sharpening B factor (Å2) 67 61 83 77 ---
EMDB ID 22445 22449 22450 22447 22448
Model CIII2 CIV SC composite
Software Phenix
Initial model (PDB code) 6Q9E, 6HU9 6HU9, 5B1A 6Q9E, 6HU9, 5B1A
Map/model correlation
Model resolution (Å) 3.3 3.9 3.9
d99 (Å) 3.5 3.9 3.9
FSC model 0.5 (Å) 3.3 3.8 3.8
Map CC (around atoms) 0.88 0.85 0.84
Model composition
Non-hydrogen atoms 32,931 12,772 45,164
Protein residues 3983 1497 5472
Number of chains 20 10 30
Number of ligands and cofactors 8 6 14
Number of lipids 29 20 43
Atomic Displacement Parameters (ADP)
Protein average (Å2) 114.37 38.28 53.17
Ligand average (Å2) 79.11 50.71 66.25
R.m.s. deviations
Bond lengths (Å) 0.005 0.006 0.007
Bond angles (°) 0.704 0.853 1.107
Ramachandran Plot
Favored (%) 93.13 90.75 92.55
Allowed (%) 6.82 9.18 7.40
Disallowed (%) 0.05 0.07 0.06
Validation
MolProbity score 1.97 2.19 2.04
Clash score 10.03 14.21 11.51
Rotamer outliers (%) 0.03 0.08 0.04
EMRinger score 2.80 2.32 2.01
PDB ID 7JRG 7JRO 7JRP

Video 1. CryoEM density map and model for V. radiata CIII2.

Download video file (17.1MB, mp4)

Video 2. CryoEM density map and model for V. radiata CIV.

Download video file (15.4MB, mp4)

Video 3. CryoEM density map and model for V. radiata SC III2+IV.

Download video file (14.9MB, mp4)

Further examination using spectroscopic activity assays (Belt et al., 2017) confirmed that pooled fractions of the preparation contained CIII2 respiratory activity (electron transfer from reduced decylubiquinone to cytochrome c) that was inhibited by CIII2 inhibitors antimycin A and myxothiazol (Figure 1—figure supplement 4). The sample also showed CIV activity from reduced cytochrome c to oxygen that was inhibited by CIV inhibitor potassium cyanide (Figure 1—figure supplement 4). Although MPP activity of CIII2 was recovered from isolated V. radiata mitochondrial membranes (not shown), MPP activity assays (Braun et al., 1992; Teixeira et al., 2015) of the pooled fractions were inconclusive. Owing to research restrictions during the 2020 COVID-19 pandemic, we were not able to further optimize the peptidase assay for the pooled fractions. However, given the high superposition between the V. radiata MPP domain shown here and structures of active MPP (see below), we believe our inability to confirm MPP activity in this case does not significantly impact our interpretation of the data.

Complex III dimer (CIII2)

Overall structure and ligands

The V. radiata (Vr) structure confirms that VrCIII2 contains 10 subunits per CIII monomer (three conserved, mitochondrially encoded subunits and seven accessory subunits), similar to yeast and mammals (Figure 2, Figure 2—figure supplement 1). As in mammals and yeast, VrCIII2 contains 13 transmembrane helices per protomer: eight from COB (cyt b) and one from each of CYC1 (cyt c1), UCR1, QCR8, QCR9, and QCR10 (Supplementary file 1b). The MPP domain, composed of two MPP-α/β heterodimers (one per CIII protomer), extends into the matrix. The C-terminus of CYC1 (six α-helices and a 2-strand β-sheet), the entire QCR6 subunit and UCR1’s head domain extend into the intermembrane space (IMS). Consistent with their known flexibility and conformational heterogeneity, the linker and head domains of UCR1 (Rieske iron-sulfur subunit) were disordered in our reconstruction and an atomic model was not produced for this region of UCR1. (Throughout the manuscript, we use plant subunit nomenclature unless otherwise stated; see Supplementary file 1c for details and name equivalence in other organisms.)

Figure 2. Overview of plant CIII2 atomic model.

(A) CIII2 in cartoon representation with co-factors in sphere representation. The approximate position of the inner mitochondrial membrane is shown with black lines, and the matrix and inter-membrane space (IMS) sides are labeled. (B) Position of the observed CIII2 co-factors. Note that the iron-sulfur groups are not shown because the flexible head domain of the iron-sulfur protein is disordered in our cryoEM density. CIII2 shown in transparent surface representation, cofactors in stick representation. (C) Distances between the heme groups are shown, calculated edge-to-edge to the macrocyclic conjugated system. (D) Each CIII and co-factor are shown as in (A) with subunits labeled. The CIII monomers are separated for clarity and the two-fold symmetry axis is indicated. (E) Density consistent with lipids (yellow) is shown overlaid on the CIII2 cartoon model (transparent teal). bH, high-potential heme b; bL, low potential heme b; c1, heme c1; IMS, intermembrane space.

Figure 2.

Figure 2—figure supplement 1. CIII subunit comparison.

Figure 2—figure supplement 1.

(A-C) CIII subunits are shown for (A) V. radiata (this work), (B) S. cerevisiae (PDB: 6HU9) and (C) B. taurus (PDB: 1BGY). Yeast and bovine subunits were independently aligned with the corresponding V. radiata subunit. The orientation of each subunit corresponds to the orientation on CIII2 in the top row. Note that only the atomically modelled residues are shown. Hence, the Rieske head domain of V. radiata and B. taurus (UCR1), as well as the N- and C-termini of V. radiata QCR10 are missing (labeled with **). Differences discussed in the text are labeled with an asterisk (*).
Figure 2—figure supplement 2. Comparison of the cyt b conserved subunit (COB) in V. radiata (Vr), S. cerevisiae (Sc), Arabidopsis thaliana (At) and B. taurus (Bt).

Figure 2—figure supplement 2.

(A) Sequence alignment of COB performed in Clustal Omega. Secondary-structure elements are highlighted in a rainbow pattern (starting with dark blue in the N-terminus to red in the C-terminus) and labeled a-F. The general locations of the residues that compose the QN site (dashed tan lines) and QP site (dashed brown lines) are labeled. Residues that directly hydrogen-bond with ubiquinone in the bovine QN site, as well as the key residues in the cd1 helix and the PEWY motif, are marked in boxes (solid lines). Other key residues, as per their role in CIII2 of other organisms (Xia et al., 2013; Esser et al., 2004; Gao et al., 2003), are marked with arrows: blue for residues that establish H-bonds with inhibitors; orange for residues whose mutation confers resistance to inhibitors; magenta for residues whose mutation affects COB assembly or the re-oxidation of bh heme. V. radiata residues edited in our atomic model are marked with gray arrows. See also Supplementary file 1d for further detail on the RNA edits. Symbols underneath aligned residues: * fully conserved, : conservation between group of strongly similar properties, . conservation between group of weakly similar properties. (B) VrCOB shown in cartoon representation, colored in rainbow pattern with the secondary-structure elements labeled. (C) Superposition of COB subunits from V. radiata (teal), S. cerevisiae (dark pink, PDB 6HU9), B. taurus (light pink, PDB 1BGY) shown in cartoon representation. (D) Sequence identity percentages between COB subunits of the above organisms, calculated with the Clustal Omega alignment tool in Geneious. (E) Root mean square difference (RMSD) between pruned COB subunits of the above organisms, calculated in ChimeraX and shown in Å. Parentheses indicate the number of pruned atom pairs considered over the total number of atom pairs.
Figure 2—figure supplement 3. Comparison of select conserved and accessory subunits of CIII2 of V. radiata (Vr), S. cerevisiae (Sc), A. thaliana (At) and B. taurus (Bt).

Figure 2—figure supplement 3.

(A,D) Superposition of cyt c1 (CYC1) (A) and Rieske iron-sulfur protein (UCR1) (D) subunits from V. radiata (teal), S. cerevisiae (dark pink, PDB 6HU9), B. taurus (light pink, PDB 1BGY). (B,E) Sequence identity percentages between CYC1 (B) and UCR1 (E) subunits of the above organisms, calculated with the Clustal Omega alignment tool in Geneious. Mitochondrial import pre-sequences were not taken into account for the calculation. (C,F) Root mean square difference (RMSD) between pruned CYC1 (C) and UCR1 (F) subunits of the above organisms, calculated in ChimeraX and shown in Å. Parentheses indicate the number of pruned atom pairs considered over the total number of atom pairs. Note that the RMSD calculations in (F) do not include the head domain of VrUCR1 or Bt_UQCRFS1, as these structures do not contain atomic models for this domain. (G) Sequence alignment of UCR1 subunit (without cleaved pre-sequences) of the above organisms, with the addition of Gallus gallus (Gg), performed with Clustal Omega. Solid light blue box highlights the V. radiata residues in our atomic model. Dashed blue rectangle indicates the hinge region. The rest of the sequence corresponds to the head domain. Residues that coordinate the FeS cluster are highlighted in yellow. Symbols underneath aligned residues: * fully conserved,: conservation between group of strongly similar properties,. conservation between group of weakly similar properties. (H-I) Superposition of QCR7 (H) and QCR8 (I) from V. radiata (teal), S. cerevisiae (dark pink; PDB: 6HU9) and B. taurus (light pink; PDB: 5B1A). Subunits were aligned with the corresponding Vigna radiata subunit. Subunit names correspond to V. radiata (see also Supplementary file 1c). Asterisks (*) mark the structural features present in ScQcr7 and ScQcr8 that are missing in the V. radiata and B. taurus, as discussed in the text. (J) Superposition of VrCOB (teal) with QCR7 (red) and QCR8 (yellow) from S. cerevisiae, aligned by the COB subunits. Asterisks correspond to the features in (I).

All heme groups (heme bH, bL and heme c1) were clearly visible and modelled into each cyt b and cyt c1 subunit of the dimer. The distances between the hemes were consistent with that previously seen in other organisms (Figure 2B and CCramer et al., 2011). A catalytic Zn2+ ion was also visible and modelled into each MPP-β subunit (Figure 2B). Given that we were not able to build an atomic model for the head domain of UCR1, we did not model the iron-sulfur clusters (see 3DVA analysis below for more details).

Density consistent with cardiolipin, phosphatidylethanolamine and phosphatidylcholine lipids was found and modelled into the VrCIII2 map (Figure 2E). Similar to that previously seen in yeast, the CIII2 lipids concentrate in lipophilic cavities in COB, CYC1, UCR1, QCR8 and QCR10 close to the QN site, both on the surface of CIII2 and at the interface between the CIII protomers. We also observed additional lipids on the exterior of COB close to the QP site.

The vast majority of the residues that form the QP and QN sites and inhibitor-binding pockets in yeast and bovine CIII2 (Xia et al., 2013; Esser et al., 2004; Gao et al., 2003) are conserved in V. radiata (Figure 2—figure supplement 2). In particular, the COB residues that have been shown to form H-bonds with ubiquinone at the QN site of yeast and bovine CIII2 are conserved in V. radiata (His208, Ser212, D235), as are the key residues of COB’s cd1 helix (Gly149-Ile253) and the PEWY motif (Pro277-Tyr280). Nevertheless, no clear density for endogenous quinone was visible in any of the binding sites of the V. radiata dimer.

It is well established that the mRNAs of several subunits of plant respiratory complexes, including several CI subunits, CIII’s COB and CIV’s COX1-3, undergo cytidine-to-uridine RNA editing at several sites (Covello and Gray, 1989; Gualberto et al., 1989; Hiesel et al., 1989). This mitochondrial RNA editing is widely conserved across vascular and non-vascular plants (Takenaka et al., 2013; Sper-Whitis et al., 1996), and most generally acts to restore consensus conserved sequences (Small et al., 2020). Inspection of the cryoEM density for the VrCOB subunits showed that the A. thaliana COB RNA-editing sites (Bentolila et al., 2008; Giegé and Brennicke, 1999) are conserved in V. radiata. Moreover, V. radiata COB contains additional RNA edit sites present in wheat, potato and rice (Ito et al., 1996; Zanlungo et al., 1993Supplementary file 1d). Given the conservation pattern and the fact that the cryoEM density at these sites was unambiguous, residues were mutated to the edited residues in our model. RNA editing was also identified in V. radiata’s COX1 and 3 (see CIV section), as well as in CI subunits (Maldonado et al., 2020).

Differences in mitochondrially encoded subunits and non-MPP accessory subunits

Although the sequence conservation of the V. radiata (Vr) mitochondrially encoded CIII2 subunits (COB, CYC1, UCR1) with respect to Saccharomyces cerevisiae (Sc) and bovine (Bos taurus, Bt) homologs is modest (~50%), their structural conservation is high (0.75–0.95 Å main chain RMSD, Figure 2—figure supplements 23). For UCR1, we are only able to compare the regions for which we built an atomic model, that is the N-terminal loop and the main helix but not the head domain. Whereas the helix is highly structurally conserved, VrUCR1 shows an extended N-terminal unstructured loop and short helix that provide more extensive contacts with MPP-β (see MPP section below).

Several of the accessory subunits of VrCIII2 show significant differences with their yeast and bovine homologs. VrMPP-α and -β, which show the most notable differences, are described in detail in the following section. Here, we discuss VrQCR7 and VrQCR8 (Figure 2—figure supplement 3H–J). As in mammals and yeast, VrQCR7 (ScQcr7p, BtUQCRB) contains a helix that contacts the MPP-β anchoring β-sheet (via VrCYC1 and VrQCR8), a helix that contacts MPP-β in the opposite CIII monomer and a helix that contacts COB’s surface on the matrix side (COB's BC, DE and FG loops, and helices G and H; see Figure 2—figure supplement 2 for COB helix nomenclature). Nevertheless, similar to the bovine homolog, VrQCR7 is missing an N-terminal helix that in yeast provides several additional contacts with cyt b’s helix H and FG loop (Figure 2—figure supplement 3H). Similar to mammals and yeast, VrQCR8 (ScQcr8, BtUQCRQ) provides one strand to the multi-subunit β-sheet that helps anchor the MPP domain to the rest of CIII2 (Figure 2—figure supplement 3I and J). Additionally, VrQCR8’s transmembrane helix contacts VrCOB’s helices G and H. Nevertheless, like BtUQCRQ but in contrast to ScQcr8, VrQCR8 lacks a short perpendicular helix that stacks below cyt b’s helix H in yeast (Figure 2—figure supplement 3I). Moreover, ScQcr8 also has a longer unstructured N-terminus that extends into the cavity of the MPP domain, contacting helix a and DE loop of COB in the same CIII protomer, as well as the helix a of COB of the opposite protomer. Therefore, the interaction interface between VrQCR8 and VrCOB is reduced relative to that of yeast (Figure 2—figure supplement 3J).

Differences in the MPP domain

Each CIII monomer contains an MPP-α/β heterodimer (plant MPP-α/β, yeast Cor1/2 and mammalian UQCR1/2). Given that both MPP subunits have concave surfaces that face each other, the MPP-α/β heterodimer contains a large central cavity. The VrMPP-α/β dimer shows this overall ‘clam shell’ configuration, with a highly negative surface in the interior of the cavity (Figure 3A, Figure 3—figure supplement 1A–B). This negative surface has been shown to interact with the generally positively charged pre-sequences of the MPP substrates (Taylor et al., 2001). VrMPP-β contains the characteristic inverse Zn-binding HxxEH motif of pitrilysin endopeptidases, as well as all the conserved catalytic residues (Figure 3—figure supplement 1Gakh et al., 2002). Our cryoEM map shows density for the Zn2+ ion, which is coordinated by residues His137, His141, Glu217 (Figure 3B). The fourth Zn2+-coordinating atom—the oxygen of the water molecule that exerts the nucleophilic attack on the carbonyl carbon of the peptide bond (Gakh et al., 2002)—was not modelled. The glutamate that acts as a general base catalyst of this water molecule (Gakh et al., 2002; Taylor et al., 2001) (Glu140) is also conserved in V. radiata. MPP-β residues that were confirmed in the substrate-bound yeast soluble MPP structure (Taylor et al., 2001) to be critical for substrate recognition are conserved both in the sequence and structural location in VrMPP-β (Glu227, Asp231, Phe144, Asn167, Ala168, Tyr169; Figure 3B). Additionally, VrMPP-α contains the flexible glycine-rich stretch believed to be involved in substrate binding and/or product release in soluble ScMPP-α (Taylor et al., 2001). Consistent with this conformational flexibility, our cryoEM map shows weak density for VrMPP-α residues 340–344. Despite this structural conservation, the MPP enzymatic activity of our preparation could not be confirmed at this time.

Figure 3. V. radiata’s CIIImitochondrial processing peptidase (MPP) domain has a conserved architecture and active site but contains plant-specific secondary-structure elements not seen in other CIII-MPP subunits or in soluble MPP.

(A) Ribbon representation of the VrMPP-α (blue) and VrMPP-β (light blue) looking into the central cavity. Dashed rectangle indicates the location of the active site, detailed in (B). (B) MPP-β active site [rotated 90° about vertical axis with respect to (A)]. Shown in stick representation are the Zn-coordinating residues (His137, His141, Glu217), the catalytic water-activating residue (Glu140) and conserved, putative substrate-recognition residues (Phe144, Glu227, Asp231, Asn167, Tyr169). Residue Ala168 is also conserved, but not visible in this orientation. (C–D) Superposition of V. radiata and S. cerevisiae CIII2 MPP domain subunits. VrMPP-α and -β’s structural elements not present in ScCor2 and ScCor1 are marked. Structural elements that are additionally not present in yeast soluble MPP, i.e. plant-specific features, are marked with a cross (†). (D) VrMPP-α (blue) and ScCor2 (dark pink). (D) VrMPP-β (light blue) and ScCor1 (dark pink). β, β−strand; α, α-helix; N-ter, N-terminus. See also Figure 3—figure supplements 12 for further details. S. cerevisiae structures from PDB: 6HU9.

Figure 3.

Figure 3—figure supplement 1. Further characterization of VrMPP subunits and their homologs.

Figure 3—figure supplement 1.

(A-B) Electrostatic potential of surface of VrMPP-β (A) and VrMPP-α (B). Electrostatic potential was calculated using Delphi (Li et al., 2012; Li et al., 2019), with standard parameters. Red, negative; white, neutral; blue, positive. (C) VrMPP-β-anchoring interactions. The main anchor is marked with an asterisk (*) and comprises the β-sheet with strands from VrMPP-β, VrCYC1 and VrQCRC, as well as further interactions with the VrUCR1 N-terminus and helix from VrQCR7. The plant-specific interactions joining one MPPα/β dimer to the other (N-termini of VrMPP-α and VrMPP-β) are marked with a cross (†). (D) Sequence identity percentages between MPP-β and MPP-α homologs both CIII2 subunits and soluble MPP in V. radiata (Vr), S. cerevisiae (Sc) and B. taurus (Bt). MPP subunits that are part of CIII and that possess expected MPP enzymatic activity are marked with a plus symbol (MPP activity could not be confirmed for our isolated sample—see main text). A plus symbol in parenthesis indicates that BtUQCR1/2 only have known enzymatic MPP activity towards one substrate. Sequence identity percentages were calculated using the Clustal Omega multiple alignment tool in Geneious. (E) Protein sequence alignment of VrMPP-β subunit (VrMPPb) and its CIII2 and soluble MPP homologs from (D) were aligned with Clustal Omega. For space, only the first ~200 residues of each sequence are shown. Key residues and sequences are highlighted as follows. Green: catalytic residues; orange: substrate-recognition residues; gray: cleaved import sequence (as per Uniprot entry and/or existing structure); yellow: VrMPP-β’s N terminal extension. Symbols underneath aligned residues: * fully conserved, : conservation between group of strongly similar properties, . conservation between group of weakly similar properties.
Figure 3—figure supplement 2. Alignment of MPP-α homologs.

Figure 3—figure supplement 2.

(A) Protein sequences of V. radiata‘s MPP-α subunit (VrMPPa), S. cerevisiae (Sc) and B. taurus (Bt) CIII2 (Cor2, UQCR2) and soluble MPP (MPPa) subunits were aligned with Clustal Omega. Key residues and sequences are highlighted as follows: gray for cleaved import pre-sequence (as per Uniprot entry and/or existing structure); yellow for VrMPP-α’s N terminal extension; green for substrate binding/release glycine-rich loop; blue for elements missing in ScCor2; orange for VrMPP-α’s plant-specific additional secondary-structure elements. Symbols underneath aligned residues: * fully conserved, : conservation between group of strongly similar properties, . conservation between group of weakly similar properties. (B) Summary of differences in structural features of VrMPP-α and its homologs from (A), with the same color coding. Plus symbols (+) indicate the presence of the structural element (residue numbers in parenthesis), obtained from inspection of the structures. MPP subunits that are part of CIII and that possess expected MPP enzymatic activity are marked with a plus symbol (MPP activity could not be confirmed for our isolated sample—see main text). PDB codes of structures used: 1HR6 (ScMPP-α), 6HU9 (ScCor2), 1BGY (BtUQCR2). N.a. indicates that the BtMPP-α structure is not available and thus the comparison could not be made.

VrMPP-α/β’s sequences are more similar to the yeast (and bovine) soluble MPP subunits than to the respective CIII2 subunits (Figure 3—figure supplement 1C). Consistently, the VrMPP-α/β dimer shows secondary-structure elements that are present in ScMPP-α/β and BtMPP-α/β but not in ScCor1/2. For instance, on the posterior surface of the cavity, yeast, bovine and mung bean MPP-α fold into six additional helices compared to ScCor2. Additionally, they contain an extra strand in the β-sheet underneath this helical bundle (Figure 3C, Figure 3—figure supplement 2).

Furthermore, some structural features of VrMPP-α and -β appear to be specific to plants, compared to the available structures (Figure 3C–D, Figure 3—figure supplements 12, Videos 45). Firstly, VrMPP-α shows a short two-strand β-sheet on its posterior surface. Secondly, the extended N-terminus of VrMPP-α wraps over the posterior surface of VrMPP-β in the same CIII monomer. Thirdly, a ~ 50 amino-acid N-terminal extension on VrMPP-β folds into an alpha helix that forms extensive contacts with MPP-α of the same CIII protomer as well as with VrQCR7 of the opposite protomer. A further difference in the overall configuration of the VrMPP domain comes from VrUCR1, whose longer N-terminus forms extensive plant-specific contacts with MPP-β’s helical bundle and β-sheet (Figure 3—figure supplement 2).

Video 4. Superposition of V. radiata MPP-β with S. cerevisiae Cor1 (6HU9) and soluble MPP-β (1HR6).
Download video file (12MB, mp4)
Video 5. Superposition of V. radiata MPP-α with S. cerevisiae Cor2 (6HU9) and soluble MPP-α (1HR6).
Download video file (12.8MB, mp4)

These additional contacts and secondary-structure elements may serve to stabilize plants’ MPP domain. Furthermore, they strengthen the connection between the VrMPP domain and the rest of VrCIII2. These plant-specific features of the MPP domain could play functional roles in plant CIII2’s peptidase activity and, potentially, on the coupling between CIII2’s respiratory and non-respiratory functions (see Discussion).

Conformational heterogeneity analysis of CIII2

Given CIII2’s known conformational flexibility, for example the essential (Xiao et al., 2000; Obungu et al., 2000; Nett et al., 2000) motion of UCR1’s head domain during the Q-cycle, we decided to explore the conformational heterogeneity of our CIII2 particles using cryoSPARC’s 3D variability analysis (3DVA) (Punjani and Fleet, 2020). The 3DVA algorithm uses probabilistic principal component analysis to produce distinct 3D volumes (one per principal component) that reveal the sample’s conformational heterogeneity as a continuous motion. Analyzing the individual frames of the motion of the volume, one can reconstruct discrete and continuous conformational changes of the protein sample.

We first analyzed the conformational heterogeneity of the entire CIII2 low-pass filtered at 6 Å. This allowed for the observation of overall changes at the level of secondary structure. Incorporating data at resolutions higher than 5 Å led to the dominance of high-resolution noise (in particular from the lipid-amphipol belt), precluding clear results. The analysis at 6 Å revealed the lack of QCR10 in some particles, as well as a change in QCR9 (principal components 0–1, Videos 67), indicating that these subunits only have partial occupancy in the complex. QCR10 was previously found missing in preparations of mammalian CIII2, likely due to de-lipidation during purification (Letts et al., 2019; Huang et al., 2005). Given that our purification is very gentle and the supercomplex interactions are maintained, it is unclear whether the changes in QCR10 and QCR9 in a sub-population of particles have biological significance or are simply due to the purification procedure. More importantly, 3DVA revealed that CIII2 exhibits coordinated ‘breathing’ motions within and between the protomers of the dimer (components 0–3, Figure 4A–B, Videos 69). The motions, which may be parallel or anti-parallel across the dimer (compare Videos 68 with Video 9), extend from the top of matrix-exposed MPP domain to the bottom of the IMS-exposed regions of CYC1, UCR1, and QCR6. This finding contrasts with previous assumptions on CIII2’s potential for long-range conformational coupling and has implications for the potential interplay between plant CIII2’s respiratory and peptide-processing functions (see Discussion).

Figure 4. Conformational heterogeneity analysis of V. radiata CIII2 reveals complex-wide, coordinated movements and shows the swinging motion of UCR1 in the absence of substrates or inhibitors.

Figure 4.

(A–B) CIII2-wide motions revealed by principal component 2 (A) and 3 (B). Frame 1 (left) and frame 20 (right) of the continuous motion of CIII2 (teal surface) are shown. Black arrows indicate the motion. (A) Rocking motion of CIII2. Solid lines indicate the main axis of the rocking. Dashed lines indicate the axis of the other frame for comparison. (B) Elongation and contraction of CIII2 in the vertical and horizontal directions. Solid rectangles indicate the edges of the complex in that frame. Dashed rectangles indicate the edges of the complex in the other frame, for comparison. The dimensions of the rectangle sides are given in Å. (C) Frame 1 (left) and frame 20 (right) of the continuous motion of the UCR1 head domain shown for CIII2 protomer 1 (top) and protomer 2 (bottom). The density corresponding to UCR1 is shown in pink. The position of the UCR1 head domain is indicated by b (proximal) or c1 (distal). Note that, when protomer one is in the b position, protomer two is in the c1 position and vice versa. See Videos 69 for the motion of all components.

Video 6. 3D variability analysis of V. radiata CIII2, component 0.
Download video file (2.8MB, mp4)

The 3DVA volumes are shown as a continuous movie. CIII2 in teal, QCR10 in dark purple.

Video 7. 3D variability analysis of V. radiata CIII2, component 1.
Download video file (2.7MB, mp4)

The 3DVA volumes are shown as a continuous movie. CIII2 in teal, QCR9 in lilac, QCR10 in dark purple.

Video 8. 3D variability analysis of V. radiata CIII2, component 2.
Download video file (2.9MB, mp4)

The 3DVA volumes are shown as a continuous movie. CIII2 in teal.

Video 9. 3D variability analysis of V. radiata CIII2, component 3.
Download video file (2.8MB, mp4)

The 3DVA volumes are shown as a continuous movie. CIII2 in teal.

We then examined the conformational heterogeneity of the UCR1 head domain by using a mask around the IMS-exposed domains of CIII2 at 5 Å. The largest variability component revealed a near-continuous conformational motion in the position of the head domain of UCR1, demonstrating its swinging motion from the proximal b position (close to COB’s QP-site) to its distal c position (close to CYC1) during the Q-cycle (Xia et al., 2013; Cooley, 2013; Berry and Huang, 2011Figure 4C). Moreover, the motions of the UCR1 head domains of the CIII dimer in this variability component were anti-parallel: that is, when one domain is in the proximal position, the other one is in the distal position and vice versa (Figure 4C, Video 10). However, weaker variability components also suggested that the position of UCR1 head domains may also be equivalent in some instances.

Video 10. Swinging motion of the V. radiata UCR1 head domains.
Download video file (11.9MB, mp4)

The 3DVA volumes are shown as a continuous movie. A V. radiata UCR1 head-domain homology model was rigid-body fit into the 3DVA volume.

Given that the conformational heterogeneity precluded us from building an atomic model of the UCR1 head domain, we rigid-body fit a homology model into the extreme locations of the 3DVA volume and confirmed these corresponded to the Q-cycle proximal and distal positions (Figure 4C, Video 10). At the distal position, the FeS cluster of VrUCR1 was ~11 Å away from CYC1’s heme c1 (measured edge-to-edge to the ring system). This is in agreement with previous structures of the UCR1 head domain and within electron-transfer distance (14 Å) (Huang et al., 2005; Palsdottir et al., 2003). Given that we did not model quinone in our structure, we could not measure its distance to the UCR1 FeS cluster at the proximal position. However, we measured the distance between UCR1’s FeS-coordinating residue Cys235 and COB’s Tyr285, which is within H-bonding distance to quinone (Palsdottir et al., 2003) (ScRip1-Cys180 and ScCyb-Tyr279 in yeast). This distance (~4.5 Å) was also consistent with those previously seen (Huang et al., 2005; Palsdottir et al., 2003), placing the V. radiata FeS cluster within electron-transfer distance to quinone when the head domain is at the proximal position. This confirms that the motion revealed by 3DVA is the expected swinging motion of UCR1. Moreover, given that this flexibility was observed in the absence of substrates or inhibitors, it confirms that UCR1’s head domain is intrinsically mobile. Further studies are needed to examine to what extent the movement of the UCR1 head domains are correlated across the CIII dimer and what the mechanistic implications of parallel or anti-parallel movements may be.

Complex IV

Overall structure and ligands

The initial resolution of CIV in SC III2+IV was lower than that of CIII2 (Figure 1—figure supplement 1). This is due to the fact that during 3D-refinement the particle poses are dominated by the larger CIII2 and that there is conformational flexibility at the supercomplex interface. This flexibility between CIII2 and CIV within SC III2+IV has been previously seen in cryoEM reconstructions of CIII2-CIV supercomplexes in bacteria and yeast (Hartley et al., 2019; Rathore et al., 2019; Gong et al., 2018; Wiseman et al., 2018). Nonetheless, focused refinements around CIV resulted in an improved reconstruction with a nominal resolution of 3.8 Å for CIV, which allowed for atomic model building (Figure 5, Figure 1—figure supplement 2, Video 2).

Figure 5. Overview of V. radiata CIV and its co-factors.

(A) CIV in cartoon representation colored by subunit with co-factors in sphere representation colored by atom. The position of the inner mitochondrial membrane is indicated with black lines, and matrix and inter-membrane space (IMS) are labeled. Names of the subunits previously believed to be plant-specific are given in parentheses. (B) Position of the observed CIV co-factors. CIV shown in transparent surface representation, cofactors in stick representation. (C) Edge-to-edge distances between the heme groups and the copper co-factors are shown. The co-factors are rotated 20 degrees relative to (B) for clarity. (E) Density consistent with lipids (yellow) is shown overlaid on the CIV cartoon model (transparent teal). a, heme a; a3, heme a3.

Figure 5.

Figure 5—figure supplement 1. Comparison of the COX1-3 subunits in V. radiata (Vr), S. cerevisiae (Sc), A. thaliana (At) and B. taurus (Bt).

Figure 5—figure supplement 1.

(A,D,G) Superposition of COX1 (A), COX2 (D) and COX3 (G) subunits from V. radiata (teal), S. cerevisiae (dark pink, PDB 6HU9), B. taurus (light pink, PDB 5B1A). (B,E,H) Sequence identity percentages between COX1 (B), COX2 (E) and COX3 (H) subunits of the above organisms, calculated with the Clustal Omega alignment tool in Geneious software. (C,F,I) Root mean square difference (RMSD) between pruned COX1 (C), COX2 (F) and COX3 (I) subunits of the above organisms, calculated in ChimeraX and shown in Å. Parentheses indicate the number of pruned atom pairs considered over the total number of atom pairs. (J) HPEVY ring of VrCOX1. VrCOX1 helix shown in cartoon representation, with the covalent ring between Nε-His243 and Cε-Tyr247 shown in stick. Density shown as transparent surface. Heme a3 (a3) and CUB of the dinuclear center shown as stick.

At this resolution, all prosthetic groups (heme a, heme a3, dinuclear copper A and copper B at the binuclear center), as well as a Mg2+ ion and a Zn2+ ion were visible and modelled into the structure (Figure 5B–C). The residues that coordinate the prosthetic groups, including the covalent bond between Cε-Tyr247 and the Nε-His243 that coordinates copper B in VrCOX1, are clearly visible and hence conserved in V. radiata. The distances between the prosthetic groups are consistent with those seen in other organisms (Figure 5CRich, 2017). Additionally, density consistent with cardiolipin, phosphatidylethanolamines and phosphatidylcholines was seen and modelled into the CIV map (Figure 5D). These lipids and acyl chains are located in hydrophobic cavities of VrCOX1 and VrCOX3, in similar locations to those seen in yeast and bovine CIV. Moreover, conserved RNA-editing sites were unambiguously identified in VrCOX1 and VrCOX3 and thus changed in the model (Supplementary file 1d).

Plant CIV composition

The subunit composition of plant CIV has remained unclear, with different mass spectrometry studies suggesting up to 13 subunits, including some putative plant-specific subunits (Millar et al., 2004; Klodmann et al., 2011; Senkler et al., 2017; Elina Welchen and Mansilla, 2018). Our structure shows that VrCIV is composed of 10 subunits (three conserved, mitochondrially encoded subunits and seven accessory subunits). In contrast, mammalian CIV contains 11 accessory subunits and yeast CIV contains 9. Thus, although VrCIV’s overall architecture is similar to other organisms', given the lack of certain homologs (ScCox26, ScCox6/BtCOX5a, BtCOX7b, BtCOX8, BtNDUFA4), there are significant differences (Figure 6, Figure 6—figure supplement 1).

Figure 6. Subunit differences in V. radiata CIV.

(A–C) Superposition of subunits of V. radiata (Vr, teal), S. cerevisiae (Sc, dark pink; PDB: 6HU9) and B. taurus (Bt, light pink; PDB: 5B1A) CIV. Subunits were aligned with the corresponding V. radiata subunit. Asterisks mark the differences discussed in the text. Names of the subunits previously believed to be plant-specific are given in parentheses. (A) Superposition of VrCOX4 (COX-X2), ScCox5a, BtCOX4. (B) Superposition of VrCOX5c, ScCox9, BtCOX6c. (C) Superposition of the yeast and bovine CIV subunits that do not have homologs in V. radiata, onto the V. radiata CIV model (transparent teal). Alignment by COX1 subunits. (D) Location of the V. radiata accessory subunits that show notable differences with their yeast/bovine homologs. Subunits that form the supercomplex interface in V. radiata are marked with (†). Subunits whose homologs form the supercomplex interface in the B. taurus respirasome are marked with (‡).

Figure 6.

Figure 6—figure supplement 1. CIV subunit comparison.

Figure 6—figure supplement 1.

(A-C) CIV subunits are shown for (A) V. radiata (this work), (B) S. cerevisiae (PDB: 6HU9) and (C) B. taurus (PDB: 5B1A). Yeast and bovine subunits were independently aligned with the corresponding V. radiata subunit. The orientation of each subunit corresponds to the orientation on CIV in the top row. Only the modelled residues are shown. Differences discussed in the text are labeled with an asterisk (*).

The presence of the V. radiata CIV subunits in the structure was confirmed by mass spectrometric analysis of our cryoEM sample (Supplementary file 1a). Our structure confirms the identity of plant COX-X2 as the homolog of mammalian COX4 (ScCox5), COX-X3 of mammalian COX7c (ScCox8) and COX-X4 of mammalian COX7a (ScCox7) (Millar et al., 2004). The putative plant-specific subunits COX-X5, GLN2, ABHD18, AARE and PRPK (Millar et al., 2004; Klodmann and Braun, 2011) were not observed in our mass spectrometry sample or our structure (Supplementary file 1a). Although two peptides of the putative subunit COX-X1 were identified in our mass spectrometry sample, the lack of unassigned density in our cryoEM reconstruction large enough to constitute an additional subunit demonstrates that this protein is not present in SC III2+IV of etiolated V. radiata tissues. The possibility remains that free CIV and/or CIV in supercomplexes of non-etiolated tissues may have a different subunit composition.

Differences in conserved and accessory subunits

Among the VrCIV subunits that have mammalian and yeast homologs, structural conservation is generally high, particularly for the mitochondrially encoded subunits (Figure 5—figure supplement 1). The conserved covalent bond between Nε-His243 and Cε-Tyr247 on the HPEVY ring of VrCOX1 is clearly seen in our density (Figure 5—figure supplement 1J). Moreover, VrCOX2 contains the highly conserved residues Tyr255, Met362 (BtCOX2-Tyr105, Met207) believed to be part of the electron transport path from cyt c to CUA of CIV (Shimada et al., 2017).

A significant difference is seen in VrCOX4, which is missing a ~100 amino-acid N-terminal helical domain compared to its homologs (ScCox5, BtCOX4; Figure 6A and C). In yeast and mammals, this N-terminal helical domain mainly interacts with ScCox6/BtCOX5a, which is one of the accessory subunits that is missing in plants (Supplementary file 1c). Moreover, in yeast SC III2+IV2, this helical domain of ScCox6 interacts with MPP-β of CIII2 to provide the main CIII:CIV contacts for supercomplex formation. Hence, this interface is absent in the plant SC III2+IV (see SC section below).

Further differences are found in VrCOX4’s C-terminus, which shows an extended loop that reaches towards the IMS side of VrCOX2 and then folds back towards the solvent-accessible face of CIV. Another difference in the vicinity of VrCOX4 is seen in VrCOX5c, which lacks the C-terminal helix that in BtCOX6c makes additional contacts to BtCOX2 and BtCOX4 (Figure 6A, Figure 6—figure supplement 1). These differences in VrCOX4 and VrCOX5c—and the lack of a homolog for ScCox5/BtCOX4—are notable, as these subunits form the majority of interactions between CIV and CIII2 in the plant SC III2+IV (see SC section below). Differences in VrCOX5b (shorter N-terminus), VrCOX7a (longer N-terminus with additional contacts to VrCOX3) and VrCOX7c (different path for the unstructured N-terminus) compared to their mammalian counterparts (Figure 6—figure supplement 1) are also likely related to the fact that these subunits provide SC-interface contacts in mammals not observed in plants. However, whether these differences are a cause or an effect of the divergent supercomplex binding interfaces remains to be determined.

Additional differences are seen in VrCOX6a (ScCox13, BtCOX6a). In this case, the plant subunit is more similar to the bovine homolog. Its shorter helix interacts with VrCOX1 and VrCOX3 on the IMS side but does not provide matrix-side interactions as the yeast homolog does (Figure 6—figure supplement 1).

CIV’s proton transfer pathways

Translocation of protons through CIV in different organisms occurs via the D, K, and H ‘channels’ (proton transfer pathways) of the COX1 subunit (Rich, 2017; Rich and Maréchal, 2013; Yoshikawa and Shimada, 2015; Wikström et al., 2018). The D and K channels are essential for coupled proton transfer in CIV of bacteria, yeast and mammals (Rich, 2017; Rich and Maréchal, 2013; Yoshikawa and Shimada, 2015; Wikström et al., 2018; Maréchal et al., 2020). However, whereas mutations of key H channel residues abolish proton pumping in bovine CIV (Shimokata et al., 2007; Tsukihara et al., 2003), analogous mutations have no effect on growth, respiratory rate or proton-to-electron ratios of yeast CIV (Maréchal et al., 2020). Thus, it is currently thought that the H channel only plays a role in proton transfer in mammalian CIV (although it may still act as a dielectric channel in yeast [Rich and Maréchal, 2013; Maréchal et al., 2020]). The contribution of the D, K, and H channels to CIV proton transfer in plants is unknown.

Sequence and structural analyses show that all protonatable residues of the D and K channels of yeast and mammals are conserved in VrCOX1 (Figure 7, Figure 7—figure supplement 1). In contrast, several of the residues of the mammalian H channel are not conserved in mung bean (Figure 7—figure supplement 1). In bovine’s H channel, the amide bond between Tyr440 and Ser441 and an H-bond network towards Asp51 are essential features for proton translocation (Yoshikawa and Shimada, 2015; Shimokata et al., 2007; Tsukihara et al., 1996). None of these key bovine residues are conserved in V. radiata (or S. cerevisiae) (Figure 7, Figure 7—figure supplement 1). Moreover, in the bovine H channel mutation of Ser441 to Pro441 abolishes proton pumping (Shimokata et al., 2007). The corresponding amino-acid for BtCOX1-Ser441 in both V. radiata and yeast is proline (VrCOX1-Pro443; ScCox1-Pro441). Additional amino-acid differences between V. radiata and B. taurus are seen at the entrance and exit of the H channel (Figure 7). The above suggests that, similar to yeast, the H channel is not a proton transfer pathway in plant CIV and that proton transfer in plant CIV occurs via the D and K channels. Experimental evidence is needed to confirm this hypothesis.

Figure 7. Proton transfer pathways of V. radiata CIV.

VrCOX1 (transparent ribbon), co-factors (stick) and key residues (colored stick) are shown for the D channel (yellow), K channel (purple) and H channel (green). Proton-channel residues that are mutated in V. radiata with respect to B. taurus are marked with an asterisk (*). Approximate position of matrix and IMS ends of the transmembrane region are shown.

Figure 7.

Figure 7—figure supplement 1. Sequence alignment of COX1 highlighting the H, D and K channels.

Figure 7—figure supplement 1.

COX1 sequences from V. radiata (Vr), Arabidopsis thaliana (At), S. cerevisiae (Sc), and B. taurus (Bt) were aligned with Clustal Omega. Proton pathway residues are highlighted: D channel in yellow, H channel in green and K channel in purple. Proton-channel residues that differ between V. radiata and B. taurus are marked with an arrow of the same color as the channel to which the residue belongs. Boxes indicate α-helices in the VrCOX1 atomic model. Key residues are marked with arrows: heme a-coordinating residues in blue, heme a3-coordinating residues in orange, CUB-coordinating residues in magenta. RNA-editing sites are marked with gray arrows, see also Supplementary file 1d. The HPEVY ring is bolded. Symbols underneath aligned residues: * fully conserved, : conservation between group of strongly similar properties, . conservation between group of weakly similar properties.

Supercomplex III2-IV (SC III2+IV)

By docking the individually refined CIII2 and CIV models into the SC III2+IV composite map (Figure 1, Figure 1—figure supplement 2, Video 3), we were able to define the binding interface of the plant supercomplex. Direct contacts between the complexes occur in one site in the matrix side and one site in the IMS (Figure 8). Site 1 (matrix side), shows a single hydrophobic contact between one residue of VrQCR8 (Pro31) and one residue of VrCOX2 (Trp59) (Figure 8B). Our cryoEM reconstruction also contains a short stretch of weak, unassigned density near the first modelled residue of VrCOX5c (BtCOX6c, ScCox9), which could maximally represent an additional four amino acids. If so, the N-terminus of VrCOX5c could potentially provide additional contacts with CIII2. However, this density may also correspond to a bridging lipid bound between the two complexes.

Figure 8. SCIII2+IV interface in V. radiata.

(A) General orientation of SC III2+IV in ribbon representation viewed from the membrane. Approximate position of the inner mitochondrial membrane is shown. Sites 1 (S1) and 2 (site 2) of the supercomplex interface are marked in dashed circles. (B) Detailed view of the protein-protein interaction in site 1 (Pro31 of VrQCR8 and Trp59 of VrCOX2) with the interacting atoms shown in stick representation. Note that interacting residues of site two appear in stick in the background. (C) Detailed view of the protein-protein interaction in site 2 (Pro19-Lys20 of QCR6, Gln70-Phe72 of COX4, Leu26 of QCR6, Leu51 of COX5c) with the interacting atoms shown in stick representation.

Figure 8.

Figure 8—figure supplement 1. Differences in SC III2+IV interactions between V. radiata and S. cerevisiae (PDB: 6HU9).

Figure 8—figure supplement 1.

The supercomplexes are aligned by V. radiata’s COB and CYC1 and shown in surface representation. (A-B) V. radiata (A) and S. cerevisiae (B) SC III2+IV viewed from the membrane. (C-D) Superposed V. radiata (green) and S. cerevisiae (pink) viewed from the matrix (C) or the intermembrane space, IMS (D). (E) Cyt c (yellow) docked onto CIII2 and CIV in superposed V. radiata (green) or S. cerevisiae (pink) SC III2+IV viewed from the IMS. Distance between the CIII2- and CIV-bound cyt c in the V. radiata (Vr) and S. cerevisiae (Sc) supercomplexes shown. Cyt c was docked based on the S. cerevisiae CIII2-bound cyt c (1KYO) and the bovine CIV-bound cyt c (5IY5). CIII2-bound cyt c was docked onto V. radiata CIII2 by aligning CYC1. CIV-bound cyt c was docked onto V. radiata and S. cerevisiae CIV by aligning COX2. Distance was measured edge-to-edge of the heme conjugated ring systems.

The limited matrix-side contacts in V. radiata are in stark contrast to the supercomplex interface in S. cerevisiae, where binding is dominated by interactions between ScCor1 (VrMPP-β) and ScCOX5a (VrCox4) on the matrix side. Instead, V. radiata’s site 2 (IMS side) provides the bulk of the protein-protein interactions of the supercomplex, with a hydrophobic interaction between VrQCR6 and VrCOX5c (Leu26 and Leu51 respectively) as well as an interface between VrQCR6 (Pro19 and Lys20) and VrCOX4 (Arg114-Phe117) (Figure 8C). Despite the potential for lipid bridges at the matrix leaflet of the IMM, there are no direct contacts in the membrane and no protein contact at the IMS leaflet of the IMM. The overall limited binding interactions between V. radiata’s CIII2 and CIV, and, consequently, the lower expected stability of the plant supercomplex compared to yeast's, are consistent with the fact that (CIII2+CIV)n supercomplexes have only been experimentally identified in a few of the plant species studied (Dudkina et al., 2006; Braun, 2020).

Unsurprisingly given the large differences in contacts, there is a significant difference in the angle between CIII2 and CIV in V. radiata versus yeast, resulting in a more ‘open’ orientation in V. radiata (Figure 8—figure supplement 1). This orientation leads to a difference of 18° in the angle between the CIII2 and CIV as measured by the relative positions of the bh-hemes in CIII2 and the a-hemes in CIV. The difference in orientation also results in a larger estimated distance between the CIII2- and CIV-bound cyt c in V. radiata (~70 Å) than in yeast (~61 Å) (Figure 8—figure supplement 1E).

Discussion

Here, we present the first structures and atomic models of CIII2, CIV and SC III2+IV from the plant kingdom (Figure 1, Videos 13). These V. radiata structures reveal atomic details of the catalytic sites and co-factor binding of plant CIII2 (Figure 2) and CIV (Figure 5). Moreover, they show plant-specific structural features for several subunits, most notably the MPP subunits of CIII2 (Figure 3). Conformational heterogeneity analysis of CIII2 allowed us to observe the swinging motion of UCR1’s head domain in the absence of substrates or inhibitors, and revealed coordinated, complex-wide motions for CIII2 (Figure 4, Videos 610). The CIV structure defines the subunit composition of the plant complex and suggests that the proton translocation in plants occur via the D and K, rather than the H channel (Figures 5, 6 and 7). The structures also reveal the plant-specific arrangement of the CIII2-CIV interface in the supercomplex, which occurs mostly on the IMS side of the membrane and at a different angle from that seen in other organisms (Figure 8 and Figure 8—figure supplement 1).

Complex IV subunit composition

Plant CIV subunit composition has been previously analyzed by mass spectrometry of proteins from 2-dimensional blue-native gels (BN-PAGE) (Millar et al., 2004; Klodmann et al., 2011; Senkler et al., 2017). Although these studies were mostly in agreement, several putative CIV subunits—including several putative plant-specific subunits—differed between datasets. Given the considerable technical challenges in obtaining plant CIV samples, experimental evidence for the stoichiometric presence of these putative subunits in complex IV remained limited, with strongest evidence for COX-X1, COX-X2 and COX-X4 (Senkler et al., 2017; Braun, 2020). The structure of V. radiata CIV presented here offers a complementary approach to determine the complex’s subunit composition. Our structure shows that CIV obtained from etiolated V. radiata sprouts is composed of 10 subunits (three mitochondrially encoded subunits and seven accessory subunits). Only three of the previous plant-specific candidates are seen in our structure (COX-X2, COX-X3 and COX-X4). Moreover, structural analysis shows that COX-X2, COX-X3 and COX-X4 are homologs of mammalian and yeast CIV subunits (BtCOX4/ScCOX5, BtCOX7c/ScCox8 and BtCOX7a/ScCox7, respectively) rather than being plant-specific subunits. Although mass spectrometry analysis of our mixed sample also shows some evidence for the occurrence of COX-X1, this protein is not present in our structure, and its function remains unknown. Our structure provides a new definition for plant CIV’s composition; however, we note that the arrangement may differ between free CIV and that in supercomplexes. Moreover, its composition may be dynamically regulated in different metabolic states (e.g. different light or oxygen levels), as is known to occur for certain subunit isoforms in other organisms (Burke et al., 1997).

Conformational heterogeneity of plant CIII2

The 3DVA allowed us to observe the full swing of the UCR1 (Rieske subunit) head domain (Figure 4, Video 10) without the need for any CIII2 inhibitor to capture the proximal, distal or intermediate positions in the mobile state (Esser et al., 2019). As such, it provides direct confirmation for a multitude of previous crystallographic, mutational, kinetic and molecular dynamics studies, mostly done in the presence of inhibitors, that showed the flexibility and mobility of this domain (Xia et al., 2013; Cooley, 2013; Berry and Huang, 2011; Izrailev et al., 1999; Huang and Berry, 2016). Together, the findings definitively show that the swinging motion is an inherent property of the UCR1 in the absence of substrates. Moreover, the conformational heterogeneity analysis suggests that the movement of the UCR1 head domains is coordinated between the CIII2 protomers to a large degree (Figure 4C, Video 10). Determining the nature of and mechanism for this inter-protomer coordination will have implications on electron transfer in CIII2 and its supercomplexes.

Unfortunately, however, this conformational flexibility precluded us from building an atomic model for the head domain. Thus, we were not able to evaluate the H-bonding pattern of the UCR1 head domain with COB, or the implications of such pattern to the Q-cycle electron bifurcation mechanism (Xia et al., 2013; Ho et al., 2020; Belt et al., 2017). Similarly, the resolution of the 3DVA was not sufficient to evaluate changes in the positions of COB’s cd1 and ef helices. These helices are critical components of the UCR1’s COB binding ‘crater’ (Xia et al., 2013), and their position changes in response to binding of different CIII2 inhibitors (Esser et al., 2006), with important implications for the Q-cycle mechanism. It is important to note that 3DVA only reveals conformational changes, with no information on kinetics or occupancy rates. Nonetheless, we demonstrate here that cryoEM conformational heterogeneity tools such as 3DVA (Punjani and Fleet, 2020) and others (Zhong et al., 2020) are a valuable complementary approach to study the conformational changes of CIII2’s Q-cycle in its native state, as well as in the presence of inhibitors and substrates.

Moreover, the 3DVA revealed that CIII2 can undergo different types of complex-wide motions that are coordinated across sides of the membrane and between protomers (Videos 69). Changes at the ‘top’ of the complex on one side of the membrane co-vary (i.e. are coupled) with movement at the ‘bottom’ of the complex on the other side of the membrane. This long-range conformational coupling across the entire CIII2 could be the basis for symmetry-breaking and coordination of the UCR1 head domain motion between the CIII2 protomers.

The long-range conformational coupling is particularly relevant in the context of plant CIII2’s dual roles in signal-peptide processing and respiration. The potential interdependence between these two functions was investigated using CIII2 inhibitors (Eriksson et al., 1994; Eriksson et al., 1996), ultimately leading to the interpretation that these functions are independent (Glaser and Dessi, 1999). In the presence of the CIII2 respiratory inhibitors antimycin A (QN-site inhibitor) and myxothiazol (QP-site inhibitor) at concentrations that inhibit ~90% of spinach CIII2’s respiratory activity, the complex’s peptidase activity is inhibited 30–40% (Eriksson et al., 1994; Eriksson et al., 1996). Given that higher concentrations of inhibitors are needed to elicit MPP inhibition than respiratory inhibition, the authors initially speculated that the effects on the peptidase activity could be due to the inhibitors preventing necessary conformational changes (Eriksson et al., 1994). However, when crystal structures of metazoan CIII2 in complex with these inhibitors became available and revealed the locations of the inhibitor binding sites (Iwata et al., 1998; Xia et al., 1997; Zhang et al., 1998), the large distances between these sites and the MPP domain were interpreted to reinforce the notion that the dual roles of plant CIII2are independent, as long-range coupled conformational changes were deemed unlikely (Glaser and Dessi, 1999). In contrast, our 3DVA results showed that long-range coupled motions are intrinsic to V. radiata CIII2. Moreover, our atomic model of plant CIII2 revealed additional contacts and secondary-structure elements not previously seen in other organisms that enhance the interaction between the MPP domain and the rest of the complex. For example, the extended N-termini of MPP-α and -β bridge across the dimer and provide plant-specific contacts with CIII2’s membrane subunits (Figure 3, Figure 3—figure supplements 12). Moreover, UCR1’s longer N-terminus in plants also provides plant-specific contacts with the MPP domain (Figure 2—figure supplements 1 and 3; Figure 3—figure supplement 1C). Given its span across the membrane and its domain-swapping across protomers, UCR1 may have roles as a ‘conformational coupler’ beyond its essential function in the Q-cycle.

Together, our 3DVA results challenge long-standing assumptions on plant CIII2’s suitability for conformational coupling and call for a re-evaluation of the relationship between the respiratory and the processing activities of the plant complex.

Plant supercomplex III2+IV interface

The orientation and binding interfaces of SC III2+IV vary significantly among organisms (Hartley et al., 2019; Rathore et al., 2019; Gong et al., 2018; Wiseman et al., 2018; Sousa and Vonck, 2019). For instance, the CIII surface used by yeast to bind to CIV is instead used by mammals to bind to CI (Hartley et al., 2019). Given these disparities, it is not surprising that the differences seen in the VrCIV subunits are concentrated in the subunits that form the supercomplex interfaces in the different organisms (Figure 6). Moreover, while some of the supercomplex interactions in V. radiata are reminiscent of the supercomplex interface in yeast, there are significant differences in the protein:protein sites, interacting subunits and angle of orientation within the SC (Figure 8 and Figure 8—figure supplement 1). In yeast, the main interface is on the matrix side, with the N-terminal helical domain of ScCox5a (VrCOX4) interacting with ScCor1 (homolog of VrMPP-β). In V. radiata, this interface is lacking, as plant COX4 does not possess the ~100 amino-acid helical N-terminal domain present in yeast and mammals (Figure 6 and Figure 6—figure supplement 1). In contrast, the main supercomplex interface in mung bean is in the IMS, driven by contacts between VrQCR6 and VrCOX4. In the yeast supercomplex, the homologs of VrQCR6 and VrCOX4 (ScQCR6 and ScCOX5a/b) also interact in the IMS side, but in a much more limited fashion.

In light of VrCIII2’s conformational heterogeneity and the potential interdependence between respiratory and peptidase functions of plant CIII2, an intriguing possibility is that matrix-side interactions between CIII2 and CIV are minimized in the plant supercomplex to prevent steric constraints on the MPP domain, which is catalytically active and likely requires flexibility for its peptidase activity. Thus, the plant-specific supercomplex interface may have evolved to accommodate the particularities of plant CIII2’s dual respiratory and processing functions.

Nevertheless, whereas the details differ, the overall location of the CIII2:CIV interface in V. radiata and yeast is similar. A related observation has been made for the supercomplexes between CIII2 and CI (SCI+III2) of plants, yeast and mammals as seen by sub-tomogram averaging (Davies et al., 2018). In this case, although the interfaces between CI and CIII2 in the different organisms were also similar, there was a ~10° difference in the angle between CI and CIII2. Additional functional/structural studies of supercomplexes from organisms of diverse phylogenetic origins could determine whether the location of the supercomplex interface has been achieved by convergent or divergent evolution. In turn, this would shed light on the evolution and potential functional significance of the interface sites.

What can already be concluded is that—as seen in yeast (Hartley et al., 2019; Rathore et al., 2019)—the benefit of the SC III2+IV arrangement in plants does not involve direct electron transfer from CIII2 to CIV by simultaneously bound cyt c on each complex, as the calculated distance between the bound cyt c is too large (~70 Å, Figure 8—figure supplement 1). Recent quantitative-proteomics estimations of the stoichiometry of plant respiratory-chain components indicate that the average plant mitochondrion contains ~6500 copies of CIII monomers (i.e. ~3250 CIII2),~2000 copies of CIV and ~2250 copies of cytochrome c (Fuchs et al., 2020). This implies a maximum of ~2000 copies of SC III2+IV and, thus, a roughly 1:1 ratio between cyt c and SC III2+IV. (The ratio has been estimated to be 2–3 in S. cerevisiae [Stuchebrukhov et al., 2020]). Based on recent theoretical analyses of electron flow between CIII2 and CIV (Stuchebrukhov et al., 2020), at this low 1:1 ratio, electron flow would be limited by the time constant of cyt c equilibrating with the bulk IMS phase. Under these conditions, the formation of SC III2+IV in the plant mitochondrion would provide a kinetic advantage to electron flow between CIII2 and CIV by reducing the distance between them relative to CIII2 and CIV freely diffusing in the plane of the membrane. It is important to note that this possible kinetic advantage does not imply substrate trapping or channeling between the complexes, and is thus consistent with a single cyt c pool (Stuchebrukhov et al., 2020).

Our work provides the first high-resolution structure of SC III2+IV in plants, revealing plant-specific features of the complexes and supercomplex. Detailed comparisons of plant CIII2 and CIV sites with existing structures of inhibitor-bound complexes in other species will allow for the development of more selective inhibitors for plant CIII2 and CIV, frequently used as agricultural herbicides and pesticides (Esser et al., 2014). The structures also allow for the generation of new mechanistic hypotheses—for example, related to proton translocation in CIV—and a re-evaluation of long-standing assumptions in the field—for instance, related to CIII’s capacity for long-range coordinated motion and the relationship between its respiratory and processing functions. Together with biochemical, cellular and genetic studies, further comparative analyses of these atomic structures with the growing number of respiratory complexes and supercomplexes across the tree of life will allow for the derivation of the fundamental principles of the respiratory electron transport chain.

Materials and methods

Key resources table.

Reagent type
(species) or resource
Designation Source or reference Identifiers Additional
information
Biological sample (Vigna radiata) V. radiata seeds Todd’s Tactical Group TS-229 Lot SMU2-8HR; DOB 2/25/2019
Chemical compound, drug Digitonin, high purity EMD Millipore 300410
Chemical compound, drug A8-35 Anatrace A835
Chemical compound, drug Gamma-cyclodextrin EMD Millipore C4892
Chemical compound, drug Decylubiquinone Santa Cruz Biotechnology sc-358659
Chemical compound, drug Equine cytochrome c Sigma Aldrich C2506
Software, algorithm Clustal Omega Madeira et al., 2019 RRID:SCR_001591
Software, algorithm Geneious Kearse et al., 2012 RRID:SCR_010519
Software, algorithm SerialEM University of Colorado, Schorb et al., 2019 RRID:SCR_017293
Software, algorithm RELION 3.0 Zivanov et al., 2018 RRID:SCR_016274
Software, algorithm Motioncor2 Zheng et al., 2017
Software, algorithm Ctffind4 Rohou and Grigorieff, 2015 RRID:SCR_016732
Software, algorithm crYOLO Wagner et al., 2019; Wagner and Raunser, 2020 RRID:SCR_016732
Software, algorithm Phyre2 Kelley et al., 2015
Software, algorithm Coot Emsley and Cowtan, 2004 RRID:SCR_014222
Software, algorithm PHENIX Liebschner et al., 2019; Goddard et al., 2018; Pettersen et al., 2004 RRID:SCR_014224
Software, algorithm UCSF Chimera Resource for Biocomputing, Visualization, and Informatics at the University of California, San Francisco, Pettersen et al., 2004 RRID:SCR_004097
Software, algorithm UCSF ChimeraX Resource for Biocomputing, Visualization, and Informatics at the University of California, San Francisco, Goddard et al., 2018 RRID:SCR_015872
Software, algorithm PyMOL Molecular Graphics System Schrödinger, LLC RRID:SCR_000305 Version 2.0
Software, algorithm Scaffold Proteome Software Proteome Software Inc RRID:SCR_014345 Version 4.8.4
Software, algorithm X! Tandem The GPM Version Alanine (2017.2.1.4)
Other Holey carbon grids Quantifoil Q310CR1.3 1.2/1.3 300 mesh

Overall sample and data collection

The cryoEM dataset used in this paper is the same sample, grid and micrographs as those used in Maldonado et al., 2020. CryoEM data processing for the structures reported in this paper and those reported in Maldonado et al., 2020 diverged after 2D classification (see Figure 1—figure supplement 1). Further data processing for the structures shown here is described in detail below.

Vigna radiata mitochondria purification

V. radiata seeds were purchased from Todd’s Tactical Group (Las Vegas, Nevada, USA). Seeds were incubated in 1% (v:v) bleach for 20 min and rinsed until the water achieved neutral pH. Seeds were subsequently imbibed in a 6 mM CaCl2 solution for 20 hr in the dark. The following day, the imbibed seeds were sown in plastic trays on damp cheesecloth layers, at a density of 0.1 g/cm2 and incubated in the dark at 20 °C for 6 days. The resulting etiolated mung beans were manually picked, and the hypocotyls were separated from the roots and cotyledons. The hypocotyls were further processed for mitochondria purification based on established protocols (Millar et al., 2007). Briefly, hypocotyls were homogenized in a Waring blender with homogenization buffer (0.4 M sucrose, 1 mM EDTA, 25 mM MOPS-KOH, 10 mM tricine, 1% w:v PVP-40, freshly added 8 mM cysteine and 0.1% w:v BSA, pH 7.8) before a centrifugation of 10 min at 1000 x g (4 °C). The supernatant was collected and centrifuged for 30 min at 12,000 x g (4 °C). The resulting pellet was resuspended with wash buffer (0.4 M sucrose, 1 mM EDTA, 25 mM MOPS-KOH, freshly added 0.1% w:v BSA, pH 7.2) and gently centrifuged at 1000 x g for 5 min (4 °C). This supernatant was then centrifuged for 45 min at 12,000 x g. The resulting pellet was resuspended in wash buffer, loaded on to sucrose step gradients (35% w:v, 55% w:v, 75% w:v) and centrifuged for 60 min at 52,900 x g. The sucrose gradients were fractionated with a BioComp Piston Gradient Fractionator connected to a Gilson F203B fraction collector, following absorbance at 280 nm. The fractions containing mitochondria were pooled, diluted 1:5 in 10 mM MOPS-KOH, 1 mM EDTA, pH 7.2 and centrifuged for 20 min at 12,000 x g (4 °C). The pellet was resuspended in final resuspension buffer (20 mM HEPES, 50 mM NaCl, 1 mM EDTA, 10% glycerol, pH 7.5) and centrifuged for 20 min at 16,000 x g (4 °C). The supernatant was removed, and the pellets were frozen and stored in a −80 °C freezer. The yield of these mitochondrial pellets was 0.8–1 mg per gram of hypocotyl.

Vigna radiata mitochondrial membrane wash

Frozen V. radiata mitochondrial pellets were thawed at 4°C, resuspended in 10 ml of chilled (4 °C) double-distilled water per gram of pellet and homogenized with a cold Dounce glass homogenizer on ice. Chilled KCl was added to the homogenate to a final concentration of 0.15 M and further homogenized. The homogenate was centrifuged for 45 min at 32,000 x g (4 °C). The pellets were resuspended in cold Buffer M (20 mM Tris, 50 mM NaCl, 1 mM EDTA, 2 mM DTT, 0.002% PMSF, 10% glycerol, pH 7.4) and further homogenized before centrifugation at 32,000 x g for 45 min (4 °C). The pellets were resuspended in 3 ml of Buffer M per gram of starting material and further homogenized. The protein concentration of the homogenate was determined using a Pierce BCA assay kit (Thermo Fisher, Waltham, Massachusetts, USA), and the concentration was adjusted to a final concentration of 10 mg/ml and 30% glycerol.

Extraction and purification of mitochondrial complexes

Washed membranes were thawed at 4°C. Digitonin (EMD Millipore, Burlington, Massachusetts, USA) was added to the membranes at a final concentration of 1% (w:v) and a digitonin:protein ratio of 4:1 (w:w). Membrane complexes were extracted by tumbling this mixture for 60 min at 4 °C. The extract was centrifuged at 16,000 x g for 45 min (4 °C). Amphipol A8-35 (Anatrace, Maumee, Ohio, USA) was added to the supernatant at a final concentration of 0.2% w:v and tumbled for 30 min at 4°C, after which gamma-cyclodextrin (EMD Millipore, Burlington, Massachusetts, USA) was added stepwise to a final amount of 1.2x gamma-cyclodextrain:digitonin (mole:mole). The mixture was centrifuged at 137,000 x g for 60 min (4 °C). The supernatant was concentrated with centrifugal protein concentrators (Pall Corporation, NY, NY, USA) of 100,000 MW cut-off, loaded onto 10–45% (w:v) or 15–45% (w:v) linear sucrose gradients in 15 mM HEPES, 20 mM KCl, pH 7.8 produced using factory settings of a BioComp Instruments (Fredericton, Canada) gradient maker and centrifuged for 16 hr at 37,000 x g (4 °C). The gradients were subsequently fractionated with a BioComp Piston Gradient Fractionator connected to a Gilson F203B fraction collector, following absorbance at 280 nm. For grid preparation, the relevant fractions were buffer-exchanged into 20 mM HEPES, 150 mM NaCl, 1 mM EDTA, pH 7.8 (no sucrose) and concentrated to a final protein concentration of 6 mg/ml and mixed one-to-one with the same buffer containing 0.2% digitonin (w:v), for a final concentration of 0.1% digitonin (w:v).

NADH-dehydrogenase in-gel activity assay with blue-native polyacrylamide gel electrophoresis (BN-PAGE)

Mitochondrial membrane extractions were diluted in 2X BN-loading buffer (250 mM aminocaproic acid, 100 mM Tris-HCl, pH 7.4, 50% glycerol, 2.5% (w:v) Coomassie G-250), loaded on pre-cast 3–12% NativePAGE Bis-Tris gels (Invitrogen, Carlsbad, CA) and run at 4 °C. The cathode buffer was 50 mM Tricine, 50 mM BisTris-HCl, pH 6.8 plus 1X NativePAGE Cathode Buffer Additive (0.02% Coomassie G-250) (Invitrogen, Carlsbad, CA) and the anode buffer was 50 mM Tricine, 50 mM BisTris-HCl, pH 6.8. Gels were run at 150 V constant voltage for ∼30 min, after which the cathode buffer was switched for a ‘light blue’ cathode buffer containing 50 mM Tricine, 50 mM BisTris-HCl, pH 6.8 plus 0.1X NativePAGE Cathode Buffer Additive (0.002% Coomassie G-250) (Invitrogen, Carlsbad, CA). The settings were changed to 200 V constant voltage and run for another ∼90 min.

The CI in-gel NADH-dehydrogenase activity assay was performed based on Schertl and Braun, 2015. The BN-PAGE gel was incubated in 10 ml of freshly prepared reaction buffer (1.5 mg/ml nitrotetrazoleum blue in 10 mM Tris-HCl pH 7.4). Freshly thawed NADH stock (20 mM) was added to the container with the gel, to a final concentration of 150 μM. The gel with the complete reaction buffer was rocked at room temperature for ∼10 min. Once purple bands indicating NADH-dehydrogenase activity appeared, the reaction was quenched with a solution of 50% methanol (v:v) and 10% acetic acid (v:v).

Complex III2 spectroscopic activity assays

Spectroscopic activity assays were performed based on Letts et al., 2019; Huang et al., 2015; Barrientos et al., 2009, with modifications. Reduced-decylubiquinone (DQ): cyt c activity was measured by spectroscopic observation of cyt c reduction at 550 nm wavelength at room temperature using a Molecular Devices (San Jose, CA) Spectramax M2 spectrophotometer. Reactions were carried out in 96-well plates. DQ (Santa Cruz Biotechnology, Dallas, TX) was freshly reduced. The required amount of ethanol-diluted 100 mM DQ was aliquoted and further diluted to ~300 μl with 100% ethanol. A couple of lithium borohydride crystals were added to reduce the DQ, turning the solution transparent. Excess lithium borohydride was quenched by the dropwise addition of 1 N HCl until no further bubbles were observed. The ethanol was then evaporated with a stream of argon gas until a volume of ~50 μl was obtained. This reduced-DQ was added to a master mix reaction buffer (100 mM HEPES, pH 7.8, 50 mM NaCl, 10% glycerol, 0.1% CHAPS, 1 mg/ml BSA, 0.25 mg/ml 4:1 asolectin:cardiolipin in 0.1% CHAPS, 25 U/ml SOD, 4 μM KCN, 15 μM piericidin) at a final concentration of 100 μM and mixed by vortexing. The pH of the reaction buffer master mix was checked to be 7–8 with pH strips. The reaction master mix was aliquoted, and CIII2 inhibitors antimycin A and myxothiazol were added at 1 μM final concentration where relevant and mixed by vortexing. Protein samples (5 μg) were added to the respective aliquots of reaction buffer to a total volume of 200 μl and mixed by vortexing. The reaction was initiated by addition of equine cyt c (Sigma Aldrich, St Louis, MO) to a final concentration of 100 μM, briefly mixed by pipetting and plate stirring for 10 s before recording for 3 min every 4 s. Measurements were done in 3–5 replicates, averaged and background-corrected. An extinction co-efficient of 28 mM−1 cm−1 (Huang et al., 2015) was used in the calculations. Statistical significance was determined using two-tailed t-tests.

Complex IV spectroscopic activity assays

Spectroscopic activity assays were performed based on Letts et al., 2019; Huang et al., 2015; Barrientos et al., 2009, with modifications. Cytochrome c oxidase activity was measured by spectroscopic observation of the oxidation of reduced cyt c at 550 nm wavelength at room temperature using a Molecular Devices (San Jose, CA) Spectramax M2 spectrophotometer. Reactions were carried out in 96-well plates. Equine cyt c (Sigma Aldrich, St Louis, MO), diluted in 20 mM HEPES, pH 7.4, 50 mM NaCl, 10% glycerol buffer, was freshly reduced based on manufacturer’s instructions with modifications. Dithiothreitol (DTT) was added at a 10 mM final concentration. After ~20 min and a visible change in color, cyt c reduction was confirmed spectroscopically. Given the spectrophotometer’s specifications, the simultaneous measurement of A550 and A565 was suboptimal (A550:A565 ratio of ~9). Therefore, the A550:A575 was measured instead, as per manufacturer’s recommendations. Cyt c reduction was confirmed at A550:A575 ratio ~22–24. For the spectroscopic activity assay, the reaction master mix consisted of 20 mM HEPES, pH 7.4, 50 mM NaCl, 10% glycerol, 0.1% CHAPS (w:v) with additional 4 μM KCN wherever appropriate. Protein samples (5 μg) were added to the respective aliquots of reaction buffer to a total volume of 200 μl and mixed by vortexing. The reaction was initiated by addition of reduced cyt c to a final concentration of 100 μM, briefly mixed by pipetting and plate stirring for 10 s before recording for 3 min every 4 s. Measurements were done in 3–4 replicates, averaged and background-corrected. An extinction co-efficient of 28 mM−1 cm−1(Huang et al., 2015) was used in the calculations. Statistical significance was determined using two-tailed t-tests.

Mass spectrometry

The sample used for mass spectrometry was the sample used to blot the cryoEM grid that was used for here and in Maldonado et al., 2020. This sample corresponds to concentrated, pooled peak two fractions from the sucrose gradient shown in Maldonado et al., 2020 (fractions 10–11, Figure 1—figure supplement 2H). This sample is roughly equivalent to fractions 11–13 from Figure 1—figure supplement 4 here. Thus, the mass spectrometry results of this mixed sample include complex I subunits in addition to CIII2 and CIV subunits. See below for full dataset availability and accession codes.

Samples were digested with the S-Trap micro (PROTIFI) digestion. Digestion followed the S-trap protocol. The proteins were reduced and alkylated, the buffer concentrations were adjusted to a final concentration of 5% SDS, 50 mM TEAB, 12% phosphoric acid was added at a 1:10 (v:v) ratio with a final concentration of 1.2% and S-trap buffer (100 mM TEAB in 90% MEOH) was added at a 1:7 ratio (v:v) ratio. The protein lysate S-trap buffer mixture was then spun through the S-trap column and washed three times with S-Trap buffer. Finally, 50 mM TEAB and 1 µg of trypsin (1:25 ratio) was added and the sample was incubated overnight with one addition of 50 mM TEAB and trypsin after two hours. The following day the digested peptides were released from the S-trap solid support by spinning at 1 min for 3000 x g with a series of solutions starting with 50 mM TEAB which is placed on top of the digestion solution then 5% formic acid followed by 50% acetonitrile, 0.1% formic acid. The solution was then vacuum centrifuged to almost dryness and resuspended in 2% acetonitrile, 0.1% triflouroacetic acid (TFA) and subjected to Fluorescent Peptide Quantification (Pierce).

Digested peptides were analyzed by LC-MS/MS on a Thermo Scientific Q Exactive plus Orbitrap Mass spectrometer in conjunction Proxeon Easy-nLC II HPLC (Thermo Scientific) and Proxeon nanospray source. The digested peptides were loaded on a 100 micron x 25 mm Dr. Masic reverse phase trap where they were desalted online before being separated using a 75 micron x 150 mm Magic C18 200 Å 3U reverse phase column. Peptides were eluted using a 70 min gradient with a flow rate of 300 nL/min. An MS survey scan was obtained for the m/z range 300–1600, MS/MS spectra were acquired using a top 15 method, where the top 15 ions in the MS spectra were subjected to HCD (High Energy Collisional Dissociation). An isolation mass window of 2.0 m/z was used for the precursor ion selection, and normalized collision energy of 27% was used for fragmentation. A twenty second duration was used for the dynamic exclusion.

Tandem mass spectra were extracted and charge state deconvoluted by Proteome Discoverer (Thermo Scientific). All MS/MS samples were analyzed using X! Tandem (The GPM, thegpm.org; version X! Tandem Alanine (2017.2.1.4)). X! Tandem was set up to search the Uniprot Vigna radiata database (October 2019, 35065 entries) the cRAP database of common laboratory contaminants (http://www.thegpm.org/crap; 117 entries) plus an equal number of reverse protein sequences assuming the digestion enzyme trypsin. X! Tandem was searched with a fragment ion mass tolerance of 20 PPM and a parent ion tolerance of 20 PPM. Carbamidomethyl of cysteine and selenocysteine was specified in X! Tandem as a fixed modification. Glu->pyro Glu of the n-terminus, ammonia-loss of the n-terminus, gln->pyro Glu of the n-terminus, deamidated of asparagine and glutamine, oxidation of methionine and tryptophan and dioxidation of methionine and tryptophan were specified in X! Tandem as variable modifications.

Scaffold (version Scaffold_4.8.4, Proteome Software Inc, Portland, OR) was used to validate MS/MS based peptide and protein identifications. Peptide identifications were accepted if they could be established at greater than 98.0% probability by the Scaffold Local FDR algorithm. X! Tandem identifications required score of at least 2. Protein identifications were accepted if they could be established at greater than 6.0% probability to achieve an FDR less than 5.0% and contained at least two identified peptides. Protein probabilities were assigned by the Protein Prophet algorithm (Nesvizhskii et al., 2003). Proteins that contained similar peptides and could not be differentiated based on MS/MS analysis alone were grouped to satisfy the principles of parsimony. Proteins sharing significant peptide evidence were grouped into clusters.

CryoEM data acquisition

The sample (6 mg/ml protein in 20 mM HEPES, 150 mM NaCl, 1 mM EDTA, 0.1% digitonin, pH 7.8) was applied onto glow-discharged holey carbon grids (Quantifoil, 1.2/1.3 300 mesh) followed by a 60 s incubation and blotting for 9 s at 15°C with 100% humidity and flash-freezing in liquid ethane using a FEI Vitrobot Mach III.

CryoEM data acquisition was performed on a 300 kV Titan Krios electron microscope equipped with an energy filter and a K3 detector at the UCSF W.M. Keck Foundation Advanced Microscopy Laboratory, accessed through the Bay Area CryoEM Consortium. Automated data collection was performed with the SerialEM package (Schorb et al., 2019). Micrographs were recorded in super-resolution mode at a nominal magnification of 60,010 X, resulting in a pixel size of 0.8332 Å2. Defocus values varied from 1.5 to 3.0 µm. The dose rate was 20 electrons per pixel per second. Exposures of 3 s were dose-fractionated into 118 frames, leading to a dose of 0.72 electrons per Å2 per frame and a total accumulated dose of 51 electrons per Å2. A total of 9816 micrographs were collected.

Data processing

Software used in the project was installed and configured by SBGrid (Morin et al., 2013). All processing steps were done using cryoSPARC and RELION 3.0 (Zivanov et al., 2018; Punjani et al., 2017) unless otherwise stated. Motioncor2 (Zheng et al., 2017) was used for whole-image drift correction of each micrograph. Contrast transfer function (CTF) parameters of the corrected micrographs were estimated using Ctffind4 (Rohou and Grigorieff, 2015). After motion correction and CTF correction, a set of 8541 micrographs was selected for further processing. Automated particle picking using crYOLO (Wagner et al., 2019; Wagner and Raunser, 2020) resulted in ~1.5 million particles. The particles were extracted using 4002 pixel box binned two-fold and sorted by reference-free 2D classification in Relion using (--max_sig 5), followed by re-extraction at 5122 pixel box. Reference-free 2D classification in Relion resulted in the identification of 502,224 particles that were then imported into cryoSPARC for further reference-free 2D classification. A set of 121,702 particles were identified by 2D classification in cryoSPARC to contain CIII2 alone or SC III2+IV (Figure 1—figure supplement 1). These particles were subjected to ab initio model generation with four targets to remove contaminant particles resulting in a set of 99,937 particles across three classes. Each individual class was subjected to an additional round of ab initio model generation with three targets. This separated CIII2 alone particles from the SC III2+IV class and allowed the recovery of CIII2 alone particles from the poor particle class. CIII2 alone particles from across the ab initio model generation jobs were pooled, defining a final class of 48,111 particles. The multiple rounds of ab initio model generation resulted in only one good class of 28,020 SC III2+IV particles. Poses for these two particle sets (CIII2 alone and SC III2+IV) were refined using cryoSPARC’s Homogeneous Refinement (New) algorithm including Defocus Refinement and Global CTF refinement. This resulted in reconstructions at 3.2 Å and 3.8 Å resolution for CIII2 alone and SC III2+IV respectively, according to the gold standard FSC criteria (Figure 1—figure supplement 1Scheres and Chen, 2012).

In parallel, a set of 69,876 particles were identified by further 2D and 3D classification in Relion (Figure 1—figure supplement 2). These particles, which contained a mixture of SC III2+IV and CIII2 alone particles, were aligned using a SC III2+IV model and mask. They were then subjected to five rounds of masked classification using a CIV model and mask aligned with the position of CIV in the SC. Three parallel masked classifications (all using T = 8) varied in the degree of rotational searches, with either no searches, 0.1° sampling interval over +/- 0.2° search range and 3.7° sampling interval over +/- 7.5° search range. The masked 3D classification without searches was repeated successively for three rounds, inputting the best particles from the previous round into the subsequent round. The best CIV class from each 3D classification were selected and combined while removing overlaps (any particle within 200 pixels of another was considered as an overlap and discarded). This 3D classification strategy resulted in a set of 38,410 particles. The coordinates of these particles were used to extract two sets of re-centered SC particles, one centered on CIII2 and one centered on CIV. These two sets of particles were independently 3D-refined, CTF-refined and Bayesian-polished using a model and mask centered around CIII2 or CIV respectively. The CIV-centered shiny particles were subjected to a final round of 3D classification, defining a final set of 29,348 CIV particles. Although this final round of 3D classification did not improve the nominal resolution of the map, it increased map quality at the periphery of the complex. These final CIII2 and CIV classes resulted in reconstructions at 3.7 Å and 3.8 Å resolution for CIII2 and IV from the SC respectively, according to the gold standard FSC criteria (Figure 1—figure supplement 1Scheres and Chen, 2012). These two maps were aligned with the full SC map and combined to make a composite map using Phenix.

3D variability analysis (3DVA) was performed on CIII2 alone in cryoSPARC using their built-in algorithm (Punjani and Fleet, 2020). Two separate instances of 3DVA were performed, each solving for the four largest principal components. The first instance used a mask around the entire CIII2 and data was low-pass filtered to 6 Å resolution to remove the influence of high-resolution noise from the amphipol detergent belt. The second instance used a mask focused around the IMS domain of CIII2 and was low-pass filtered to 5 Å resolution. All other parameters were kept as default.

Model building and refinement

Starting template models for V. radiata CIII2 was ovine CIII2 (PDB: 6Q9E). Starting template models for V. radiata CIV were from S. cerevisiae (PDB: 6HU9) and bovine (PDB: 5B1A) CIV. Additionally, starting models for the V. radiata subunits were generated using the Phyre2 web portal (Kelley et al., 2015). Real-space refinement of the model was done in PHENIX (Liebschner et al., 2019; Goddard et al., 2018; Pettersen et al., 2004) and group atomic displacement parameters (ADPs) were refined in reciprocal space. The single cycle of group ADP refinement was followed by three cycles of global minimization, followed by an additional cycle of group ADP refinement and finally three cycles of global minimization (Letts et al., 2019). The refined CIII2 and CIV models were docked into the SC III2+CIV map without subsequent refinement.

Model interpretation and figure preparation

Molecular graphics and analyses were performed with UCSF Chimera (Pettersen et al., 2004) and ChimeraX (Goddard et al., 2018) developed by the Resource for Biocomputing, Visualization, and Informatics at the University of California, San Francisco, with support from NIH P41-GM103311 and R01-GM129325 and the Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases. PyMOL Molecular Graphics System, Version 2.0 Schrödinger, LLC was also used.

Acknowledgements

We are grateful to K Abe, MG Zaragoza, C Goodwin, R Murguia and C Bower for help with V. radiata growth and mitochondrial isolations. Data was collected at the UCSF WM Keck Foundation Advanced Microscopy Laboratory, accessed through the Bay Area CryoEM Consortium BACEM, with the assistance of D Bulkley and Z Yu. We are grateful to W Broadly of the UC Davis High-Performance Cluster and M Salemi and B Phinney of the UC Davis Proteomics Core for technical assistance. MM acknowledges funding from the UC Davis POP Program.

Funding Statement

No external funding was received for this work.

Contributor Information

James A Letts, Email: jaletts@ucdavis.edu.

Kenton J Swartz, National Institute of Neurological Disorders and Stroke, National Institutes of Health, United States.

Andrew P Carter, MRC Laboratory of Molecular Biology, United Kingdom.

Additional information

Competing interests

No competing interests declared.

Author contributions

Conceptualization, Resources, Data curation, Formal analysis, Supervision, Funding acquisition, Validation, Investigation, Visualization, Methodology, Writing - original draft, Project administration, Writing - review and editing.

Formal analysis, Investigation.

Conceptualization, Resources, Data curation, Formal analysis, Supervision, Funding acquisition, Validation, Visualization, Methodology, Project administration, Writing - review and editing.

Additional files

Supplementary file 1. (a) Mass spectrometry identification of V. radiata CIII2 and CIV subunits. (b) Model-building statistics by subunit. (c) CIII2 and CIV subunit homologs in plants, yeast and mammals. V. radiata homologs were obtained by performing BLASTp searches of the Arabidopsis thaliana genes (Meyer et al., 2019). Mammalian and yeast homologs were obtained from Hartley et al., 2019; Maréchal et al., 2012. Additional BLASTp searches were performed as needed. (d) RNA edits identified in V. radiata CIII2 and CIV subunits. RNA-editing sites were initially identified by an unambiguous mismatch in the cryoEM density and the expected density for the mitochondrial-DNA-encoded residue. The existence of the RNA-editing site in other plants, or the implied restoration of the consensus sequence was then inspected. Amino-acid changes to the atomic model (with respect to the mt-DNA sequence) were only made for amino-acid positions that had unambiguous cryoEM density evidence and whose editing is conserved or would restore the conserved sequence.
elife-62047-supp1.docx (89.7KB, docx)
Transparent reporting form

Data availability

PDB accession codes: 7JRG, 7JRO, 7JRP. EMBD accession codes: 22445, 22449, 22450, 22447, 22448. EMPIAR accession code: EMPIAR-10586.

The following datasets were generated:

Maldonado M, Guo F, Letts JA. 2020. Mass spectrometry data for Vigna radiata concentrated, pooled peak 2 fractions from sucrose gradient, Maldonado et al 2020. MassIVE. MSV000086237

Maldonado M, Guo F, Letts JA. 2020. Mass spectrometry data for Vigna radiata concentrated, pooled peak 2 fractions from sucrose gradient, Maldonado et al 2020. ProteomeXchange. PXD021850

Maldonado M, Letts JA. 2020. Plant Mitochondrial complex III2 from Vigna radiata. RCSB Protein Data Bank. 7JRG

Maldonado M, Letts JA. 2020. Plant Mitochondrial complex IV from Vigna radiata. RCSB Protein Data Bank. 7JRO

Maldonado M, Letts JA. 2020. Plant Mitochondrial complex SC III2+IV from Vigna radiata. RCSB Protein Data Bank. 7JRP

Maldonado M, Letts JA. 2020. Plant Mitochondrial complex III2 from Vigna radiata. EMDataBank. 22445

Maldonado M, Letts JA. 2020. Plant Mitochondrial complex IV from Vigna radiata. EMDataBank. 22449

Maldonado M, Letts JA. 2020. Plant Mitochondrial complex SC III2+IV from Vigna radiata composite map. EMDataBank. 22450

Maldonado M, Letts JA. 2020. Plant mitochondrial supercomplex III2+IV from Vigna radiata. EMDataBank. 22447

Maldonado M, Letts JA. 2020. Plant mitochondrial complex III2 from Vigna radiata supercomplex III2+IV, focused refinement. EMDataBank. 22448

Maldonado M, Padavannil A, Zhou L, Guo F, Letts JA. 2020. Cryo electron micrographs of digitonin-solubilized, amphipol-stabilized, sucrose-gradient-purified V. radiata mitochondrial membranes - mixed fraction containing CI*, CIII2 and SC III2+IV. Electron Microscopy Public Image Archive. EMPIAR-10586

References

  1. Agip AA, Blaza JN, Bridges HR, Viscomi C, Rawson S, Muench SP, Hirst J. Cryo-EM structures of complex I from mouse heart mitochondria in two biochemically defined states. Nature Structural & Molecular Biology. 2018;25:548–556. doi: 10.1038/s41594-018-0073-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Barrientos A, Fontanesi F, Díaz F. Evaluation of the mitochondrial respiratory chain and oxidative phosphorylation system using polarography and spectrophotometric enzyme assays. Current Protocols in Human Genetics. 2009;19:63. doi: 10.1002/0471142905.hg1903s63. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Belt K, Huang S, Thatcher LF, Casarotto H, Singh KB, Van Aken O, Millar AH. Salicylic Acid-Dependent plant stress signaling via mitochondrial succinate dehydrogenase. Plant Physiology. 2017;173:2029–2040. doi: 10.1104/pp.16.00060. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Bentolila S, Elliott LE, Hanson MR. Genetic architecture of mitochondrial editing in Arabidopsis thaliana. Genetics. 2008;178:1693–1708. doi: 10.1534/genetics.107.073585. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Berry EA, Huang LS. Conformationally linked interaction in the cytochrome bc(1) complex between inhibitors of the Q(o) site and the rieske iron-sulfur protein. Biochimica Et Biophysica Acta. 2011;10:1349–1363. doi: 10.1016/j.bbabio.2011.04.005. [DOI] [PubMed] [Google Scholar]
  6. Blaza JN, Serreli R, Jones AJ, Mohammed K, Hirst J. Kinetic evidence against partitioning of the ubiquinone pool and the catalytic relevance of respiratory-chain supercomplexes. PNAS. 2014;111:15735–15740. doi: 10.1073/pnas.1413855111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Blaza JN, Vinothkumar KR, Hirst J. Structure of the deactive state of mammalian respiratory complex I. Structure. 2018;26:312–319. doi: 10.1016/j.str.2017.12.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Braun HP, Emmermann M, Kruft V, Schmitz UK. The general mitochondrial processing peptidase from potato is an integral part of cytochrome c reductase of the respiratory chain. The EMBO Journal. 1992;11:3219–3227. doi: 10.1002/j.1460-2075.1992.tb05399.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Braun HP, Emmermann M, Kruft V, Bödicker M, Schmitz UK. The general mitochondrial processing peptidase from wheat is integrated into the cytochrome bc1-complex of the respiratory chain. Planta. 1995;195:396–402. doi: 10.1007/BF00202597. [DOI] [PubMed] [Google Scholar]
  10. Braun HP. The oxidative phosphorylation system of the mitochondria in plants. Mitochondrion. 2020;53:66–75. doi: 10.1016/j.mito.2020.04.007. [DOI] [PubMed] [Google Scholar]
  11. Braun HP, Schmitz UK. The bifunctional cytochrome c reductase/processing peptidase complex from plant mitochondria. Journal of Bioenergetics and Biomembranes. 1995a;27:423–436. doi: 10.1007/BF02110005. [DOI] [PubMed] [Google Scholar]
  12. Braun HP, Schmitz UK. Are the 'core' proteins of the mitochondrial bc1 complex evolutionary relics of a processing protease? Trends in Biochemical Sciences. 1995b;20:171–175. doi: 10.1016/S0968-0004(00)88999-9. [DOI] [PubMed] [Google Scholar]
  13. Bultema JB, Braun H-P, Boekema EJ, Kouřil R. Megacomplex organization of the oxidative phosphorylation system by structural analysis of respiratory supercomplexes from potato. Biochimica Et Biophysica Acta (BBA) - Bioenergetics. 2009;1787:60–67. doi: 10.1016/j.bbabio.2008.10.010. [DOI] [PubMed] [Google Scholar]
  14. Burke PV, Raitt DC, Allen LA, Kellogg EA, Poyton RO. Effects of oxygen concentration on the expression of cytochrome c and cytochrome c oxidase genes in yeast. Journal of Biological Chemistry. 1997;272:14705–14712. doi: 10.1074/jbc.272.23.14705. [DOI] [PubMed] [Google Scholar]
  15. Cooley JW. Protein conformational changes involved in the cytochrome bc1 complex catalytic cycle. Biochimica Et Biophysica Acta (BBA) - Bioenergetics. 2013;1827:1340–1345. doi: 10.1016/j.bbabio.2013.07.007. [DOI] [PubMed] [Google Scholar]
  16. Covello PS, Gray MW. RNA editing in plant mitochondria. Nature. 1989;341:662–666. doi: 10.1038/341662a0. [DOI] [PubMed] [Google Scholar]
  17. Cramer WA, Hasan SS, Yamashita E. The Q cycle of cytochrome bc complexes: a structure perspective. Biochimica Et Biophysica Acta (BBA) - Bioenergetics. 2011;1807:788–802. doi: 10.1016/j.bbabio.2011.02.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Davies KM, Blum TB, Kühlbrandt W. Conserved in situ arrangement of complex I and III2 in mitochondrial respiratory chain supercomplexes of mammals, yeast, and plants. PNAS. 2018;115:3024–3029. doi: 10.1073/pnas.1720702115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Dudkina NV, Eubel H, Keegstra W, Boekema EJ, Braun HP. Structure of a mitochondrial supercomplex formed by respiratory-chain complexes I and III. PNAS. 2005;102:3225–3229. doi: 10.1073/pnas.0408870102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Dudkina NV, Heinemeyer J, Sunderhaus S, Boekema EJ, Braun HP. Respiratory chain supercomplexes in the plant mitochondrial membrane. Trends in Plant Science. 2006;11:232–240. doi: 10.1016/j.tplants.2006.03.007. [DOI] [PubMed] [Google Scholar]
  21. Elina Welchen. Mansilla N. The complexity of mitochondrial complex IV: an update of cytochrome c oxidase biogenesis in plants. International Journal of Molecular Sciences. 2018;19:662. doi: 10.3390/ijms19030662. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Emmermann M, Braun HP, Arretz M, Schmitz UK. Characterization of the bifunctional cytochrome c reductase-processing peptidase complex from potato mitochondria. The Journal of Biological Chemistry. 1993;268:18936–18942. [PubMed] [Google Scholar]
  23. Emsley P, Cowtan K. Coot: model-building tools for molecular graphics. Acta Crystallographica. Section D, Biological Crystallography. 2004;60:2126–2132. doi: 10.1107/S0907444904019158. [DOI] [PubMed] [Google Scholar]
  24. Eriksson A, Sjöling S, Glaser E. The ubiquinol cytochrome c oxidoreductase complex of spinach leaf mitochondria is involved in both respiration and protein processing. Biochimica Et Biophysica Acta (BBA) - Bioenergetics. 1994;1186:221–231. doi: 10.1016/0005-2728(94)90181-3. [DOI] [Google Scholar]
  25. Eriksson AC, Sjöling S, Glaser E. Characterization of the bifunctional mitochondrial processing peptidase (MPP)/bc1 complex in Spinacia oleracea. Journal of Bioenergetics and Biomembranes. 1996;28:285–292. doi: 10.1007/BF02110702. [DOI] [PubMed] [Google Scholar]
  26. Esser L, Quinn B, Li YF, Zhang M, Elberry M, Yu L, Yu CA, Xia D. Crystallographic studies of quinol oxidation site inhibitors: a modified classification of inhibitors for the cytochrome bc(1) complex. Journal of Molecular Biology. 2004;341:281–302. doi: 10.1016/j.jmb.2004.05.065. [DOI] [PubMed] [Google Scholar]
  27. Esser L, Gong X, Yang S, Yu L, Yu CA, Xia D. Surface-modulated motion switch: capture and release of iron-sulfur protein in the cytochrome bc1 complex. PNAS. 2006;103:13045–13050. doi: 10.1073/pnas.0601149103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Esser L, Yu CA, Xia D. Structural basis of resistance to anti-cytochrome bc₁ complex inhibitors: implication for drug improvement. Current Pharmaceutical Design. 2014;20:704–724. doi: 10.2174/138161282005140214163327. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Esser L, Zhou F, Yu C-A, Xia D. Crystal structure of bacterial cytochrome bc 1 in complex with azoxystrobin reveals a conformational switch of the Rieske iron–sulfur protein subunit. Journal of Biological Chemistry. 2019;294:12007–12019. doi: 10.1074/jbc.RA119.008381. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Eubel H, Jänsch L, Braun HP. New insights into the respiratory chain of plant mitochondria supercomplexes and a unique composition of complex II. Plant Physiology. 2003;133:274–286. doi: 10.1104/pp.103.024620. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Eubel H, Heinemeyer J, Braun HP. Identification and characterization of respirasomes in potato mitochondria. Plant Physiology. 2004;134:1450–1459. doi: 10.1104/pp.103.038018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Fedor JG, Hirst J. Mitochondrial supercomplexes do not enhance catalysis by quinone channeling. Cell Metabolism. 2018;28:525–531. doi: 10.1016/j.cmet.2018.05.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Fiedorczuk K, Letts JA, Degliesposti G, Kaszuba K, Skehel M, Sazanov LA. Atomic structure of the entire mammalian mitochondrial complex I. Nature. 2016;538:406–410. doi: 10.1038/nature19794. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Fuchs P, Rugen N, Carrie C, Elsässer M, Finkemeier I, Giese J, Hildebrandt TM, Kühn K, Maurino VG, Ruberti C, Schallenberg-Rüdinger M, Steinbeck J, Braun HP, Eubel H, Meyer EH, Müller-Schüssele SJ, Schwarzländer M. Single organelle function and organization as estimated from Arabidopsis mitochondrial proteomics. The Plant Journal. 2020;101:420–441. doi: 10.1111/tpj.14534. [DOI] [PubMed] [Google Scholar]
  35. Gakh O, Cavadini P, Isaya G. Mitochondrial processing peptidases. Biochimica Et Biophysica Acta (BBA) - Molecular Cell Research. 2002;1592:63–77. doi: 10.1016/S0167-4889(02)00265-3. [DOI] [PubMed] [Google Scholar]
  36. Gao X, Wen X, Esser L, Quinn B, Yu L, Yu CA, Xia D. Structural basis for the quinone reduction in the bc1 complex: a comparative analysis of crystal structures of mitochondrial cytochrome bc1 with bound substrate and inhibitors at the qi site. Biochemistry. 2003;42:9067–9080. doi: 10.1021/bi0341814. [DOI] [PubMed] [Google Scholar]
  37. Giegé P, Brennicke A. RNA editing in Arabidopsis mitochondria effects 441 C to U changes in ORFs. PNAS. 1999;96:15324–15329. doi: 10.1073/pnas.96.26.15324. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Glaser E, Dessi P. Integration of the mitochondrial-processing peptidase into the cytochrome bc1 complex in plants. Journal of Bioenergetics and Biomembranes. 1999;31:259–274. doi: 10.1023/a:1005475930477. [DOI] [PubMed] [Google Scholar]
  39. Goddard TD, Huang CC, Meng EC, Pettersen EF, Couch GS, Morris JH, Ferrin TE. UCSF ChimeraX: meeting modern challenges in visualization and analysis. Protein Science. 2018;27:14–25. doi: 10.1002/pro.3235. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Gong H, Li J, Xu A, Tang Y, Ji W, Gao R, Wang S, Yu L, Tian C, Li J, Yen HY, Man Lam S, Shui G, Yang X, Sun Y, Li X, Jia M, Yang C, Jiang B, Lou Z, Robinson CV, Wong LL, Guddat LW, Sun F, Wang Q, Rao Z. An electron transfer path connects subunits of a mycobacterial respiratory supercomplex. Science. 2018;362:eaat8923. doi: 10.1126/science.aat8923. [DOI] [PubMed] [Google Scholar]
  41. Gu J, Wu M, Guo R, Yan K, Lei J, Gao N, Yang M. The architecture of the mammalian respirasome. Nature. 2016;537:639–643. doi: 10.1038/nature19359. [DOI] [PubMed] [Google Scholar]
  42. Gualberto JM, Lamattina L, Bonnard G, Weil JH, Grienenberger JM. RNA editing in wheat mitochondria results in the conservation of protein sequences. Nature. 1989;341:660–662. doi: 10.1038/341660a0. [DOI] [PubMed] [Google Scholar]
  43. Guo R, Zong S, Wu M, Gu J, Yang M. Architecture of human mitochondrial respiratory megacomplex I2III2IV2. Cell. 2017;170:1247–1257. doi: 10.1016/j.cell.2017.07.050. [DOI] [PubMed] [Google Scholar]
  44. Hartley AM, Lukoyanova N, Zhang Y, Cabrera-Orefice A, Arnold S, Meunier B, Pinotsis N, Maréchal A. Structure of yeast cytochrome c oxidase in a supercomplex with cytochrome bc1. Nature Structural & Molecular Biology. 2019;26:78–83. doi: 10.1038/s41594-018-0172-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Hiesel R, Wissinger B, Schuster W, Brennicke A. RNA editing in plant mitochondria. Science. 1989;246:1632–1634. doi: 10.1126/science.2480644. [DOI] [PubMed] [Google Scholar]
  46. Ho CM, Li X, Lai M, Terwilliger TC, Beck JR, Wohlschlegel J, Goldberg DE, Fitzpatrick AWP, Zhou ZH. Bottom-up structural proteomics: cryoem of protein complexes enriched from the cellular milieu. Nature Methods. 2020;17:79–85. doi: 10.1038/s41592-019-0637-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Huang LS, Cobessi D, Tung EY, Berry EA. Binding of the respiratory chain inhibitor antimycin to the mitochondrial bc1 complex: a new crystal structure reveals an altered intramolecular Hydrogen-bonding pattern. Journal of Molecular Biology. 2005;351:573–597. doi: 10.1016/j.jmb.2005.05.053. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Huang S, Lee CP, Millar AH. Activity assay for plant mitochondrial enzymes. Methods in Molecular Biology. 2015;1305:139–149. doi: 10.1007/978-1-4939-2639-8_10. [DOI] [PubMed] [Google Scholar]
  49. Huang LS, Berry E. Rieske Iron-Sulfur protein movement and conformational changes in cytochrome bc-bf complexes. Cytochrome Complexes: Evolution, Structures, Energy Transduction, and Signaling. 2016;41:237–251. doi: 10.1007/978-94-017-7481-9_11. [DOI] [Google Scholar]
  50. Ito Y, Nakazono M, Kadowaki K, Tsutsumi N, Hirai A. RNA editing of transcripts of the gene for apocytochrome b (cob) in rice mitochondria. Genes & Genetic Systems. 1996;71:85–89. doi: 10.1266/ggs.71.85. [DOI] [PubMed] [Google Scholar]
  51. Iwata S, Lee JW, Okada K, Lee JK, Iwata M, Rasmussen B, Link TA, Ramaswamy S, Jap BK. Complete structure of the 11-subunit bovine mitochondrial cytochrome bc1 complex. Science. 1998;281:64–71. doi: 10.1126/science.281.5373.64. [DOI] [PubMed] [Google Scholar]
  52. Izrailev S, Crofts AR, Berry EA, Schulten K. Steered molecular dynamics simulation of the rieske subunit motion in the cytochrome bc(1) complex. Biophysical Journal. 1999;77:1753–1768. doi: 10.1016/S0006-3495(99)77022-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Kearse M, Moir R, Wilson A, Stones-Havas S, Cheung M, Sturrock S, Buxton S, Cooper A, Markowitz S, Duran C, Thierer T, Ashton B, Meintjes P, Drummond A. Geneious basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics. 2012;28:1647–1649. doi: 10.1093/bioinformatics/bts199. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Kelley LA, Mezulis S, Yates CM, Wass MN, Sternberg MJ. The Phyre2 web portal for protein modeling, prediction and analysis. Nature Protocols. 2015;10:845–858. doi: 10.1038/nprot.2015.053. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Klodmann J, Senkler M, Rode C, Braun HP. Defining the protein complex proteome of plant mitochondria. Plant Physiology. 2011;157:587–598. doi: 10.1104/pp.111.182352. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Klodmann J, Braun HP. Proteomic approach to characterize mitochondrial complex I from plants. Phytochemistry. 2011;72:1071–1080. doi: 10.1016/j.phytochem.2010.11.012. [DOI] [PubMed] [Google Scholar]
  57. Letts JA, Fiedorczuk K, Sazanov LA. The architecture of respiratory supercomplexes. Nature. 2016;537:644–648. doi: 10.1038/nature19774. [DOI] [PubMed] [Google Scholar]
  58. Letts JA, Fiedorczuk K, Degliesposti G, Skehel M, Sazanov LA. Structures of respiratory supercomplex I+III2 Reveal Functional and Conformational Crosstalk. Molecular Cell. 2019;75:1131–1146. doi: 10.1016/j.molcel.2019.07.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Letts JA, Sazanov LA. Clarifying the supercomplex: the higher-order organization of the mitochondrial electron transport chain. Nature Structural & Molecular Biology. 2017;24:800–808. doi: 10.1038/nsmb.3460. [DOI] [PubMed] [Google Scholar]
  60. Li L, Li C, Sarkar S, Zhang J, Witham S, Zhang Z, Wang L, Smith N, Petukh M, Alexov E. DelPhi: a comprehensive suite for DelPhi software and associated resources. BMC Biophysics. 2012;5:9. doi: 10.1186/2046-1682-5-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Li C, Jia Z, Chakravorty A, Pahari S, Peng Y, Basu S, Koirala M, Panday SK, Petukh M, Li L, Alexov E. DelPhi suite: new developments and review of functionalities. Journal of Computational Chemistry. 2019;40:2502–2508. doi: 10.1002/jcc.26006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Liebschner D, Afonine PV, Baker ML, Bunkóczi G, Chen VB, Croll TI, Hintze B, Hung L-W, Jain S, McCoy AJ, Moriarty NW, Oeffner RD, Poon BK, Prisant MG, Read RJ, Richardson JS, Richardson DC, Sammito MD, Sobolev OV, Stockwell DH, Terwilliger TC, Urzhumtsev AG, Videau LL, Williams CJ, Adams PD. Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix. Acta Crystallographica Section D Structural Biology. 2019;75:861–877. doi: 10.1107/S2059798319011471. [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Madeira F, Park YM, Lee J, Buso N, Gur T, Madhusoodanan N, Basutkar P, Tivey ARN, Potter SC, Finn RD, Lopez R. The EMBL-EBI search and sequence analysis tools APIs in 2019. Nucleic Acids Research. 2019;47:W636–W641. doi: 10.1093/nar/gkz268. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Maldonado M, Padavannil A, Zhou L, Guo F, Letts JA. Atomic structure of a mitochondrial complex I intermediate from vascular plants. eLife. 2020;9:e56664. doi: 10.7554/eLife.56664. [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Maréchal A, Meunier B, Lee D, Orengo C, Rich PR. Yeast cytochrome c oxidase: a model system to study mitochondrial forms of the haem–copper oxidase superfamily. Biochimica Et Biophysica Acta (BBA) - Bioenergetics. 2012;1817:620–628. doi: 10.1016/j.bbabio.2011.08.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Maréchal A, Xu JY, Genko N, Hartley AM, Haraux F, Meunier B, Rich PR. A common coupling mechanism for A-type heme-copper oxidases from Bacteria to mitochondria. PNAS. 2020;117:9349–9355. doi: 10.1073/pnas.2001572117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Meyer EH, Welchen E, Carrie C. Assembly of the complexes of the oxidative phosphorylation system in land plant mitochondria. Annual Review of Plant Biology. 2019;70:23–50. doi: 10.1146/annurev-arplant-050718-100412. [DOI] [PubMed] [Google Scholar]
  68. Milenkovic D, Blaza JN, Larsson NG, Hirst J. The enigma of the respiratory chain supercomplex. Cell Metabolism. 2017;25:765–776. doi: 10.1016/j.cmet.2017.03.009. [DOI] [PubMed] [Google Scholar]
  69. Millar AH, Eubel H, J�nsch L, Kruft V, Heazlewood JL, Braun H-P. Mitochondrial cytochrome c oxidase and succinate dehydrogenase complexes contain plant specific subunits. Plant Molecular Biology. 2004;56:77–90. doi: 10.1007/s11103-004-2316-2. [DOI] [PubMed] [Google Scholar]
  70. Millar AH, Liddell A, Leaver CJ. Isolation and subfractionation of mitochondria from plants. Methods in Cell Biology. 2007;80:65–90. doi: 10.1016/S0091-679X(06)80003-8. [DOI] [PubMed] [Google Scholar]
  71. Morin A, Eisenbraun B, Key J, Sanschagrin PC, Timony MA, Ottaviano M, Sliz P. Collaboration gets the most out of software. eLife. 2013;2:e01456. doi: 10.7554/eLife.01456. [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Nesvizhskii AI, Keller A, Kolker E, Aebersold R. A statistical model for identifying proteins by tandem mass spectrometry. Analytical Chemistry. 2003;75:4646–4658. doi: 10.1021/ac0341261. [DOI] [PubMed] [Google Scholar]
  73. Nett JH, Hunte C, Trumpower BL. Changes to the length of the flexible Linker region of the rieske protein impair the interaction of ubiquinol with the cytochrome bc1 complex. European Journal of Biochemistry. 2000;267:5777–5782. doi: 10.1046/j.1432-1327.2000.01650.x. [DOI] [PubMed] [Google Scholar]
  74. Nicholls DGF. Bioenergetics 4. Academic Press; 2013. [Google Scholar]
  75. Obungu VH, Wang Y, Amyot SM, Gocke CB, Beattie DS. Mutations in the tether region of the iron–sulfur protein affect the activity and assembly of the cytochrome bc1 complex of yeast mitochondria. Biochimica Et Biophysica Acta (BBA) - Bioenergetics. 2000;1457:36–44. doi: 10.1016/S0005-2728(99)00116-4. [DOI] [PubMed] [Google Scholar]
  76. Palsdottir H, Lojero CG, Trumpower BL, Hunte C. Structure of the yeast cytochrome bc1 complex with a hydroxyquinone anion Q oSite inhibitor bound. Journal of Biological Chemistry. 2003;278:31303–31311. doi: 10.1074/jbc.M302195200. [DOI] [PubMed] [Google Scholar]
  77. Parey K, Brandt U, Xie H, Mills DJ, Siegmund K, Vonck J, Kühlbrandt W, Zickermann V. Cryo-EM structure of respiratory complex I at work. eLife. 2018;7:e39213. doi: 10.7554/eLife.39213. [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Pettersen EF, Goddard TD, Huang CC, Couch GS, Greenblatt DM, Meng EC, Ferrin TE. UCSF chimera--a visualization system for exploratory research and analysis. Journal of Computational Chemistry. 2004;25:1605–1612. doi: 10.1002/jcc.20084. [DOI] [PubMed] [Google Scholar]
  79. Punjani A, Rubinstein JL, Fleet DJ, Brubaker MA. cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination. Nature Methods. 2017;14:290–296. doi: 10.1038/nmeth.4169. [DOI] [PubMed] [Google Scholar]
  80. Punjani A, Fleet DJ. 3d variability analysis: directly resolving continuous flexibility and discrete heterogeneity from single particle cryo-EM images. bioRxiv. 2020 doi: 10.1101/2020.04.08.032466. [DOI] [PubMed]
  81. Rathore S, Berndtsson J, Marin-Buera L, Conrad J, Carroni M, Brzezinski P, Ott M. Cryo-EM structure of the yeast respiratory supercomplex. Nature Structural & Molecular Biology. 2019;26:50–57. doi: 10.1038/s41594-018-0169-7. [DOI] [PubMed] [Google Scholar]
  82. Rich PR. Mitochondrial cytochrome c oxidase: catalysis, coupling and controversies. Biochemical Society Transactions. 2017;45:813–829. doi: 10.1042/BST20160139. [DOI] [PubMed] [Google Scholar]
  83. Rich PR, Maréchal A. Functions of the hydrophilic channels in protonmotive cytochrome c oxidase. Journal of the Royal Society Interface. 2013;10:20130183. doi: 10.1098/rsif.2013.0183. [DOI] [PMC free article] [PubMed] [Google Scholar]
  84. Rohou A, Grigorieff N. CTFFIND4: fast and accurate defocus estimation from electron micrographs. Journal of Structural Biology. 2015;192:216–221. doi: 10.1016/j.jsb.2015.08.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  85. Schägger H, Pfeiffer K. Supercomplexes in the respiratory chains of yeast and mammalian mitochondria. The EMBO Journal. 2000;19:1777–1783. doi: 10.1093/emboj/19.8.1777. [DOI] [PMC free article] [PubMed] [Google Scholar]
  86. Scheres SH, Chen S. Prevention of overfitting in cryo-EM structure determination. Nature Methods. 2012;9:853–854. doi: 10.1038/nmeth.2115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  87. Schertl P, Braun HP. Activity measurements of mitochondrial enzymes in native gels. Methods in Molecular Biology. 2015;1305:131–138. doi: 10.1007/978-1-4939-2639-8_9. [DOI] [PubMed] [Google Scholar]
  88. Schorb M, Haberbosch I, Hagen WJH, Schwab Y, Mastronarde DN. Software tools for automated transmission electron microscopy. Nature Methods. 2019;16:471–477. doi: 10.1038/s41592-019-0396-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  89. Senkler J, Senkler M, Eubel H, Hildebrandt T, Lengwenus C, Schertl P, Schwarzländer M, Wagner S, Wittig I, Braun HP. The mitochondrial complexome of Arabidopsis thaliana. The Plant Journal : For Cell and Molecular Biology. 2017;89:1079–1092. doi: 10.1111/tpj.13448. [DOI] [PubMed] [Google Scholar]
  90. Shimada S, Shinzawa-Itoh K, Baba J, Aoe S, Shimada A, Yamashita E, Kang J, Tateno M, Yoshikawa S, Tsukihara T. Complex structure of cytochrome c-cytochrome c oxidase reveals a novel protein-protein interaction mode. The EMBO Journal. 2017;36:291–300. doi: 10.15252/embj.201695021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  91. Shimokata K, Katayama Y, Murayama H, Suematsu M, Tsukihara T, Muramoto K, Aoyama H, Yoshikawa S, Shimada H. The proton pumping pathway of bovine heart cytochrome c oxidase. PNAS. 2007;104:4200–4205. doi: 10.1073/pnas.0611627104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  92. Small ID, Schallenberg-Rüdinger M, Takenaka M, Mireau H, Ostersetzer-Biran O. Plant organellar RNA editing: what 30 years of research has revealed. The Plant Journal. 2020;101:1040–1056. doi: 10.1111/tpj.14578. [DOI] [PubMed] [Google Scholar]
  93. Sousa JS, Mills DJ, Vonck J, Kühlbrandt W. Functional asymmetry and electron flow in the bovine respirasome. eLife. 2016;5:e21290. doi: 10.7554/eLife.21290. [DOI] [PMC free article] [PubMed] [Google Scholar]
  94. Sousa JS, Vonck J. Respiratory supercomplexes III2IV2 come into focus. Nature Structural & Molecular Biology. 2019;26:87–89. doi: 10.1038/s41594-019-0184-3. [DOI] [PubMed] [Google Scholar]
  95. Sper-Whitis GL, Moody JL, Vaughn JC. Universality of mitochondrial RNA editing in cytochrome-c oxidase subunit I (coxI) among the land plants. Biochimica Et Biophysica Acta (BBA) - Gene Structure and Expression. 1996;1307:301–308. doi: 10.1016/0167-4781(96)00041-3. [DOI] [PubMed] [Google Scholar]
  96. Stuchebrukhov A, Schäfer J, Berg J, Brzezinski P. Kinetic advantage of forming respiratory supercomplexes. Biochimica Et Biophysica Acta (BBA) - Bioenergetics. 2020;1861:148193. doi: 10.1016/j.bbabio.2020.148193. [DOI] [PubMed] [Google Scholar]
  97. Takenaka M, Zehrmann A, Verbitskiy D, Härtel B, Brennicke A. RNA editing in plants and its evolution. Annual Review of Genetics. 2013;47:335–352. doi: 10.1146/annurev-genet-111212-133519. [DOI] [PubMed] [Google Scholar]
  98. Taylor AB, Smith BS, Kitada S, Kojima K, Miyaura H, Otwinowski Z, Ito A, Deisenhofer J. Crystal structures of mitochondrial processing peptidase reveal the mode for specific cleavage of import signal sequences. Structure. 2001;9:615–625. doi: 10.1016/S0969-2126(01)00621-9. [DOI] [PubMed] [Google Scholar]
  99. Teixeira PF, Branca RM, Kmiec B, Glaser E. A flowchart to analyze protease activity in plant mitochondria. Methods in Molecular Biology. 2015;1305:123–130. doi: 10.1007/978-1-4939-2639-8_8. [DOI] [PubMed] [Google Scholar]
  100. Tsukihara T, Aoyama H, Yamashita E, Tomizaki T, Yamaguchi H, Shinzawa-Itoh K, Nakashima R, Yaono R, Yoshikawa S. The whole structure of the 13-subunit oxidized cytochrome c oxidase at 2.8 A. Science. 1996;272:1136–1144. doi: 10.1126/science.272.5265.1136. [DOI] [PubMed] [Google Scholar]
  101. Tsukihara T, Shimokata K, Katayama Y, Shimada H, Muramoto K, Aoyama H, Mochizuki M, Shinzawa-Itoh K, Yamashita E, Yao M, Ishimura Y, Yoshikawa S. The low-spin heme of cytochrome c oxidase as the driving element of the proton-pumping process. PNAS. 2003;100:15304–15309. doi: 10.1073/pnas.2635097100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  102. Vinothkumar KR, Zhu J, Hirst J. Architecture of mammalian respiratory complex I. Nature. 2014;515:80–84. doi: 10.1038/nature13686. [DOI] [PMC free article] [PubMed] [Google Scholar]
  103. Wagner T, Merino F, Stabrin M, Moriya T, Antoni C, Apelbaum A, Hagel P, Sitsel O, Raisch T, Prumbaum D, Quentin D, Roderer D, Tacke S, Siebolds B, Schubert E, Shaikh TR, Lill P, Gatsogiannis C, Raunser S. SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM. Communications Biology. 2019;2:218. doi: 10.1038/s42003-019-0437-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  104. Wagner T, Raunser S. The evolution of SPHIRE-crYOLO particle picking and its application in automated cryo-EM processing workflows. Communications Biology. 2020;3:61. doi: 10.1038/s42003-020-0790-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  105. Wikström M, Krab K, Sharma V. Oxygen activation and energy conservation by cytochrome c Oxidase. Chemical Reviews. 2018;118:2469–2490. doi: 10.1021/acs.chemrev.7b00664. [DOI] [PMC free article] [PubMed] [Google Scholar]
  106. Wiseman B, Nitharwal RG, Fedotovskaya O, Schäfer J, Guo H, Kuang Q, Benlekbir S, Sjöstrand D, Ädelroth P, Rubinstein JL, Brzezinski P, Högbom M. Structure of a functional obligate complex III2IV2 respiratory supercomplex from Mycobacterium smegmatis. Nature Structural & Molecular Biology. 2018;25:1128–1136. doi: 10.1038/s41594-018-0160-3. [DOI] [PubMed] [Google Scholar]
  107. Wu M, Gu J, Guo R, Huang Y, Yang M. Structure of mammalian respiratory supercomplex I 1 III 2 IV 1. Cell. 2016;167:1598–1609. doi: 10.1016/j.cell.2016.11.012. [DOI] [PubMed] [Google Scholar]
  108. Xia D, Yu CA, Kim H, Xia JZ, Kachurin AM, Zhang L, Yu L, Deisenhofer J. Crystal structure of the cytochrome bc1 complex from bovine heart mitochondria. Science. 1997;277:60–66. doi: 10.1126/science.277.5322.60. [DOI] [PubMed] [Google Scholar]
  109. Xia D, Esser L, Tang W-K, Zhou F, Zhou Y, Yu L, Yu C-A. Structural analysis of cytochrome bc1 complexes: implications to the mechanism of function. Biochimica Et Biophysica Acta (BBA) - Bioenergetics. 2013;1827:1278–1294. doi: 10.1016/j.bbabio.2012.11.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  110. Xiao K, Yu L, Yu C-A. Confirmation of the Involvement of Protein Domain Movement during the Catalytic Cycle of the Cytochrome bc b>b>1b>b> Complex by the Formation of an Intersubunit Disulfide Bond between Cytochrome b and the Iron-Sulfur Protein. Journal of Biological Chemistry. 2000;275:38597–38604. doi: 10.1074/jbc.M007444200. [DOI] [PubMed] [Google Scholar]
  111. Yoshikawa S, Shimada A. Reaction mechanism of cytochrome c oxidase. Chemical Reviews. 2015;115:1936–1989. doi: 10.1021/cr500266a. [DOI] [PubMed] [Google Scholar]
  112. Yu H, Wu CH, Schut GJ, Haja DK, Zhao G, Peters JW, Adams MWW, Li H. Structure of an ancient respiratory system. Cell. 2018;173:1636–1649. doi: 10.1016/j.cell.2018.03.071. [DOI] [PMC free article] [PubMed] [Google Scholar]
  113. Zanlungo S, Bégu D, Quiñones V, Araya A, Jordana X. RNA editing of apocytochrome b (cob) transcripts in mitochondria from two genera of plants. Current Genetics. 1993;24:344–348. doi: 10.1007/BF00336787. [DOI] [PubMed] [Google Scholar]
  114. Zhang Z, Huang L, Shulmeister VM, Chi YI, Kim KK, Hung LW, Crofts AR, Berry EA, Kim SH. Electron transfer by domain movement in cytochrome bc1. Nature. 1998;392:677–684. doi: 10.1038/33612. [DOI] [PubMed] [Google Scholar]
  115. Zheng SQ, Palovcak E, Armache JP, Verba KA, Cheng Y, Agard DA. MotionCor2: anisotropic correction of beam-induced motion for improved cryo-electron microscopy. Nature Methods. 2017;14:331–332. doi: 10.1038/nmeth.4193. [DOI] [PMC free article] [PubMed] [Google Scholar]
  116. Zhong ED, Bepler T, Berger B, Davis JH. CryoDRGN: reconstruction of heterogeneous structures from cryo-electron micrographs using neural networks. bioRxiv. 2020 doi: 10.1101/2020.03.27.003871. [DOI] [PMC free article] [PubMed]
  117. Zhu J, Vinothkumar KR, Hirst J. Structure of mammalian respiratory complex I. Nature. 2016;536:354–358. doi: 10.1038/nature19095. [DOI] [PMC free article] [PubMed] [Google Scholar]
  118. Zickermann V, Wirth C, Nasiri H, Siegmund K, Schwalbe H, Hunte C, Brandt U. Mechanistic insight from the crystal structure of mitochondrial complex I. Science. 2015;347:44–49. doi: 10.1126/science.1259859. [DOI] [PubMed] [Google Scholar]
  119. Zivanov J, Nakane T, Forsberg BO, Kimanius D, Hagen WJ, Lindahl E, Scheres SH. New tools for automated high-resolution cryo-EM structure determination in RELION-3. eLife. 2018;7:e42166. doi: 10.7554/eLife.42166. [DOI] [PMC free article] [PubMed] [Google Scholar]

Decision letter

Editor: Andrew P Carter1
Reviewed by: Hans-Peter Braun, John L Rubinstein2

In the interests of transparency, eLife publishes the most substantive revision requests and the accompanying author responses.

Acceptance summary:

Your paper opens reports the first structures of respiratory chain components, Complex III (CIII2) and IV (CIV), from plants. There are a number of unique features of these complexes not found in mammalian or fungal systems. Your work forms a fundamental addition to our knowledge of respiratory complexes and generates hypotheses that will be further tested by the field for years to come.

Decision letter after peer review:

Thank you for submitting your article "Atomic structures of respiratory complex III2 , complex IV and supercomplex III2+IV from vascular plants" for consideration by eLife. Your article has been reviewed by three peer reviewers, one of whom is a member of our Board of Reviewing Editors, and the evaluation has been overseen by Kenton Swartz as the Senior Editor. The following individuals involved in review of your submission have agreed to reveal their identity: Hans-Peter Braun (Reviewer #2); John L Rubinstein (Reviewer #3).

The reviewers have discussed the reviews with one another and the Reviewing Editor has drafted this decision to help you prepare a revised submission.

As the editors have judged that your manuscript is of interest, but as described below that additional experiments are required before it is published, we would like to draw your attention to changes in our revision policy that we have made in response to COVID-19 (https://elifesciences.org/articles/57162). First, because many researchers have temporarily lost access to the labs, we will give authors as much time as they need to submit revised manuscripts. We are also offering, if you choose, to post the manuscript to bioRxiv (if it is not already there) along with this decision letter and a formal designation that the manuscript is "in revision at eLife". Please let us know if you would like to pursue this option. (If your work is more suitable for medRxiv, you will need to post the preprint yourself, as the mechanisms for us to do so are still in development.)

Summary

Mitochondrial ATP synthesis requires a proton gradient across the mitochondrial membranes. This gradient is established by the Respiratory Complexes, transfer electrons from electron donors NADH to Quinones and couple this to the pumping of protons across the membrane. While more insight into yeast and mammalian respiratory complexes has become available to understand this process, the high-resolution structural details of the respiratory complexes and super-complexes of plants have remained mostly unknown. Respiratory complex III (CIII2) in plants has an additional mitochondrial processing peptidase activity which is carried out by separate complexes in yeast and mammals. CIII2 forms a supercomplex with Complex IV (CIV) and structures of the separate and supercomplex were unknown.

In this manuscript, the authors report the structure of respiratory complexes III, IV, and a III2IV supercomplex from vascular plants. Although there is structural information on supercomplexes from several organisms, the structures of plant supercomplexes remain unknown, defining an exciting research frontier.

Major comments

1) The authors perform NADH:quinone oxidoreductase activity of the complex, however, they provide no evidence of amphipol stabilized CIII2 respiratory activity, MPP domain peptidase activity, CIV activity, or supercomplex activity. Ideally, the manuscript would include experimental evidence of these activities. This evidence would allow the authors to more confidently discuss how the structural features and dynamics relate to enzymatic properties. In the absence of this evidence of activity in their preparation the authors should be sure to emphasize throughout the manuscript, where appropriate, that they do not know if their preparation is active.

2) The authors find interesting dynamics using the 3DVA algorithm in cryoSPARC and present these in Figure 4 of the manuscript and several videos. The dynamics presented in panel C of the figure are easy to follow; however, it is difficult to see exactly what it happening in panel A and B. Although the videos make these motions the figures could be improved. For example, figures in the original 3DVA paper (Punjani and Fleet, 2020) clearly show the structural changes present in their systems.

Interestingly, the authors video from 3D variability ISP of one CIII monomer is in the b position the other is in the c1 position, and vice versa. This situation is analogous to the movement of the cyt. cc domain of the M. smegmatis CIII2CIV2 supercomplex (Wiseman et al., 2018), which moves instead of the ISP in that system. Anticorrelated ISP movement would have mechanistic implications for the CIII2 dimer. In the M. smegmatis study a single asymmetric structure was determined with one cc domain up and one cc domain down, which was used to infer the anticorrelated movement. In the present structure the anticorrelated movement is detected from a single PCA vector. The authors do not state explicitly that their data show anticorrelated movement of the ISP but the video suggests it strongly. It seems likely that if the movement of the ISPs were anticorrelated, the authors would have isolated a single asymmetric structure. Correlated movement of the ISPs may be detected in a different 3D PCA vector. Therefore, unless the authors have strong evidence for anticorrelated ISP position they should ensure that their manuscript does not imply that it occurs.

3) Starting material for structure determination is a fraction containing a complex I intermediate. Particles representing complexes III2, IV and supercomplex III+IV were purified in silico. This should be illustrated in Figure 1—figure supplement 1. The micrograph shown in part A of the figure should mainly include the complex I intermediate. Throughout the supplement, the numbers of particles should be given for the complex I intermediate, III2, IV and supercomplex III+IV.

4) The purification of III2 and IV is "supported by mass spectrometry data (Table 1)". However, no primary MS data are shown and no details on the experiments. I assume that MS has been carried out with the mixed mitochondrial fraction including the complex I intermediate and all other complexes present in this fraction, including subunits of complex III and IV. Presumably, several hundreds of proteins were identified in this fraction. This experiment certainly does not allow to systematically identify subunits present in the protein complexes of interest. The complete MS datasets should be presented.

5) The authors certainly are experts in single particle cryo electron microscopy, but new in the field of plant biology. The authors are not aware of several key publications on the respiratory chain of plants. Citations have to be substantially updated.

eLife. 2021 Jan 19;10:e62047. doi: 10.7554/eLife.62047.sa2

Author response


Major comments

1) The authors perform NADH:quinone oxidoreductase activity of the complex, however, they provide no evidence of amphipol stabilized CIII2 respiratory activity, MPP domain peptidase activity, CIV activity, or supercomplex activity. Ideally, the manuscript would include experimental evidence of these activities. This evidence would allow the authors to more confidently discuss how the structural features and dynamics relate to enzymatic properties. In the absence of this evidence of activity in their preparation the authors should be sure to emphasize throughout the manuscript, where appropriate, that they do not know if their preparation is active.

We have performed activity assays for respiratory activities of CIII2 and CIV from a preparation equivalent to that used for the cryoEM sample and show the results in the new Figure 1—figure supplement 4. CIII2 and CIV are active and inhibitable by established inhibitors (antimycin A and myxothiazol for CIII2, potassium cyanide for CIV) as shown by spectroscopic activity assays (Huang et al., 2015).

We also performed MPP peptidase activity assays based on Teixeira et al., 2015 with the complete pre-sequence of the F1b subunit of the Nicotiana plumbaginifolia ATP synthase as previously reported (Braun et al., 1992). Although we see peptidase activity from the washed mitochondrial membranes from which the complexes were extracted, our peptidase assays from the purified fractions did not show clear activity. We believe this may be due to the early use of EDTA in the purification and freezing buffers, as well as to unoptimized conditions for the peptidase activity. Given the pandemic-related limitations on the number of people who can be simultaneously present in the lab and working together in teams, we are not at this time able to produce enough mitochondrial samples from etiolated mung beans for further troubleshooting and optimization of the incubation and pre-incubation conditions for this assay. Nevertheless, the activity in the washed membranes and excellent superposition of the MPP domains of our structure with the previously published structure of soluble, active MPP from yeast (as discussed in the manuscript), strongly suggest that MPP should also be active in our preparation although we are not able to definitively show it at this point. We do not believe this changes our interpretation of the structures but do emphasize our lack of confirmation in the Results.

New text: “Further examination using spectroscopic activity assays[52] confirmed that pooled fractions of the preparation contained CIII2 respiratory activity (from reduced decylubiquinone to cytochrome c) that was inhibited by CIII2 inhibitors antimycin A and myxothiazol (Figure 1—figure supplement 4). The sample also showed CIV activity from reduced cytochrome c to oxygen that was inhibited by CIV inhibitor potassium cyanide (Figure 1—figure supplement 4). Although mitochondrial processing peptidase (MPP) activity of CIII2 was recovered from isolated V. radiata mitochondrial membranes (not shown), MPP activity assays[22, 53] of the pooled fractions were inconclusive. Owing to research restrictions during the 2020 COVID-19 pandemic, we were not able to further optimize the peptidase assay for the pooled fractions. However, given the high superposition between the V. radiata MPP domain shown here and structures of active MPP, we do not believe our inability to confirm MPP activity in this case significantly impacts our interpretation of the data.”

2) The authors find interesting dynamics using the 3DVA algorithm in cryoSPARC and present these in Figure 4 of the manuscript and several videos. The dynamics presented in panel C of the figure are easy to follow; however, it is difficult to see exactly what it happening in panel A and B. Although the videos make these motions the figures could be improved. For example, figures in the original 3DVA paper (Punjani and Fleet, 2020) clearly show the structural changes present in their systems.

Thank you for the suggestion. Indeed, we found it challenging to capture the movement of the videos in panels A and B. We have updated these panels based on Punjani and Fleet’s figures.

Interestingly, the authors video from 3D variability ISP of one CIII monomer is in the b position the other is in the c1 position, and vice versa. This situation is analogous to the movement of the cyt. cc domain of the M. smegmatis CIII2CIV2 supercomplex (Wiseman et al., 2018), which moves instead of the ISP in that system. Anticorrelated ISP movement would have mechanistic implications for the CIII2 dimer. In the M. smegmatis study a single asymmetric structure was determined with one cc domain up and one cc domain down, which was used to infer the anticorrelated movement. In the present structure the anticorrelated movement is detected from a single PCA vector. The authors do not state explicitly that their data show anticorrelated movement of the ISP but the video suggests it strongly. It seems likely that if the movement of the ISPs were anticorrelated, the authors would have isolated a single asymmetric structure. Correlated movement of the ISPs may be detected in a different 3D PCA vector. Therefore, unless the authors have strong evidence for anticorrelated ISP position they should ensure that their manuscript does not imply that it occurs.

We agree with the reviewer that if the motion were completely anti-correlated, this should result in a single asymmetric structure. However, this is not what we observed and we have made this more clear in the manuscript. Further PCA vectors suggest that in some particles the position of the ISP may also be correlated, but the movement is less clear. In these PCA vectors the ISPs go from being ordered together in one position and therefore visible, to being completely disordered and thereby disappearing making it difficult to interpret. Only in the first PCA vector can the ISPs’ “motion” be tracked. We take the reviewer’s point that we should not give the impression of there being only anti-correlated movement without further comment. We edited/added sentences to clarify this issue:

Edited/new sentence: “Moreover, the motions of the UCR1 head domains of the CIII dimer in this variability component were anti-parallel, i.e. when one domain is in the proximal position, the other one is in the distal position and vice versa (Figure 4C, Video 10). However, weaker variability components also suggested that the position of UCR1 head domains may also be equivalent in some instances.”

New sentence: “Further studies are needed to examine to what extent the movement of the UCR1 head domains are correlated across the CIII dimer and what the mechanistic implications of parallel or anti-parallel movements may be.”

3) Starting material for structure determination is a fraction containing a complex I intermediate. Particles representing complexes III2, IV and supercomplex III+IV were purified in silico. This should be illustrated in Figure 1—figure supplement 1. The micrograph shown in part A of the figure should mainly include the complex I intermediate. Throughout the supplement, the numbers of particles should be given for the complex I intermediate, III2, IV and supercomplex III+IV.

We have updated the cryoEM processing workflow figure (Figure 1—figure supplement 1) with CI* 2D classes, particle numbers and the initial 3D classes. The figure contains a clear note referring the reader to our CI* paper for further details.

4) The purification of III2 and IV is "supported by mass spectrometry data (Table 1)". However, no primary MS data are shown and no details on the experiments. I assume that MS has been carried out with the mixed mitochondrial fraction including the complex I intermediate and all other complexes present in this fraction, including subunits of complex III and IV. Presumably, several hundreds of proteins were identified in this fraction. This experiment certainly does not allow to systematically identify subunits present in the protein complexes of interest. The complete MS datasets should be presented.

The reviewer is correct in his/her assumptions. We agree that the experiment does not allow us to systematically identify subunits present. We simply meant that the subunits were identified within the mixed MS sample. We have added a clarification in the main text and in the mass spec method section and have deposited the full MS dataset on the Massive and ProteomeExchange databases. We have added the accession numbers to our Materials and methods section. We welcome further suggestions as to how to present the MS data.

New sentence: “Complex III and CIV subunits were identified in the mixed mitochondrial pooled fraction by mass spectrometry, in addition to CI subunits (Supplementary file 1, see Materials and methods for full dataset availability).”

Materials and methods, Mass spectrometry: “The sample used for mass spectrometry was the sample used to blot the cryoEM grid that was used for here and in Maldonado et al., 2020. This sample corresponds to concentrated, pooled peak 2 fractions from the sucrose gradient shown in Maldonado et al., 2020 (fractions 10-11, Figure 1—figure supplement 2H). This sample is roughly equivalent to fractions 11-13 from Figure 1—figure supplement 4 here. Thus, the mass spectrometry results of this mixed sample include complex I subunits in addition to CIII2 and CIV subunits. See below for full dataset availability and accession codes.”

Materials and methods, Data availability: “Raw mass spectrometry files and search results are available from Massive (https://massive.ucsd.edu/) #MSV000086237 and ProteomeExchange (http://www.proteomexchange.org/) #PXD021850”

5) The authors certainly are experts in single particle cryo electron microscopy, but new in the field of plant biology. The authors are not aware of several key publications on the respiratory chain of plants. Citations have to be substantially updated.

We apologize for the unintended omissions and thank Dr Braun for the notes and corrections to ensure previous work is properly credited. We have updated our citations accordingly.

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Data Citations

    1. Maldonado M, Guo F, Letts JA. 2020. Mass spectrometry data for Vigna radiata concentrated, pooled peak 2 fractions from sucrose gradient, Maldonado et al 2020. MassIVE. MSV000086237
    2. Maldonado M, Guo F, Letts JA. 2020. Mass spectrometry data for Vigna radiata concentrated, pooled peak 2 fractions from sucrose gradient, Maldonado et al 2020. ProteomeXchange. PXD021850
    3. Maldonado M, Letts JA. 2020. Plant Mitochondrial complex III2 from Vigna radiata. RCSB Protein Data Bank. 7JRG
    4. Maldonado M, Letts JA. 2020. Plant Mitochondrial complex IV from Vigna radiata. RCSB Protein Data Bank. 7JRO
    5. Maldonado M, Letts JA. 2020. Plant Mitochondrial complex SC III2+IV from Vigna radiata. RCSB Protein Data Bank. 7JRP
    6. Maldonado M, Letts JA. 2020. Plant Mitochondrial complex III2 from Vigna radiata. EMDataBank. 22445
    7. Maldonado M, Letts JA. 2020. Plant Mitochondrial complex IV from Vigna radiata. EMDataBank. 22449
    8. Maldonado M, Letts JA. 2020. Plant Mitochondrial complex SC III2+IV from Vigna radiata composite map. EMDataBank. 22450
    9. Maldonado M, Letts JA. 2020. Plant mitochondrial supercomplex III2+IV from Vigna radiata. EMDataBank. 22447
    10. Maldonado M, Letts JA. 2020. Plant mitochondrial complex III2 from Vigna radiata supercomplex III2+IV, focused refinement. EMDataBank. 22448
    11. Maldonado M, Padavannil A, Zhou L, Guo F, Letts JA. 2020. Cryo electron micrographs of digitonin-solubilized, amphipol-stabilized, sucrose-gradient-purified V. radiata mitochondrial membranes - mixed fraction containing CI*, CIII2 and SC III2+IV. Electron Microscopy Public Image Archive. EMPIAR-10586

    Supplementary Materials

    Supplementary file 1. (a) Mass spectrometry identification of V. radiata CIII2 and CIV subunits. (b) Model-building statistics by subunit. (c) CIII2 and CIV subunit homologs in plants, yeast and mammals. V. radiata homologs were obtained by performing BLASTp searches of the Arabidopsis thaliana genes (Meyer et al., 2019). Mammalian and yeast homologs were obtained from Hartley et al., 2019; Maréchal et al., 2012. Additional BLASTp searches were performed as needed. (d) RNA edits identified in V. radiata CIII2 and CIV subunits. RNA-editing sites were initially identified by an unambiguous mismatch in the cryoEM density and the expected density for the mitochondrial-DNA-encoded residue. The existence of the RNA-editing site in other plants, or the implied restoration of the consensus sequence was then inspected. Amino-acid changes to the atomic model (with respect to the mt-DNA sequence) were only made for amino-acid positions that had unambiguous cryoEM density evidence and whose editing is conserved or would restore the conserved sequence.
    elife-62047-supp1.docx (89.7KB, docx)
    Transparent reporting form

    Data Availability Statement

    PDB accession codes: 7JRG, 7JRO, 7JRP. EMBD accession codes: 22445, 22449, 22450, 22447, 22448. EMPIAR accession code: EMPIAR-10586.

    The following datasets were generated:

    Maldonado M, Guo F, Letts JA. 2020. Mass spectrometry data for Vigna radiata concentrated, pooled peak 2 fractions from sucrose gradient, Maldonado et al 2020. MassIVE. MSV000086237

    Maldonado M, Guo F, Letts JA. 2020. Mass spectrometry data for Vigna radiata concentrated, pooled peak 2 fractions from sucrose gradient, Maldonado et al 2020. ProteomeXchange. PXD021850

    Maldonado M, Letts JA. 2020. Plant Mitochondrial complex III2 from Vigna radiata. RCSB Protein Data Bank. 7JRG

    Maldonado M, Letts JA. 2020. Plant Mitochondrial complex IV from Vigna radiata. RCSB Protein Data Bank. 7JRO

    Maldonado M, Letts JA. 2020. Plant Mitochondrial complex SC III2+IV from Vigna radiata. RCSB Protein Data Bank. 7JRP

    Maldonado M, Letts JA. 2020. Plant Mitochondrial complex III2 from Vigna radiata. EMDataBank. 22445

    Maldonado M, Letts JA. 2020. Plant Mitochondrial complex IV from Vigna radiata. EMDataBank. 22449

    Maldonado M, Letts JA. 2020. Plant Mitochondrial complex SC III2+IV from Vigna radiata composite map. EMDataBank. 22450

    Maldonado M, Letts JA. 2020. Plant mitochondrial supercomplex III2+IV from Vigna radiata. EMDataBank. 22447

    Maldonado M, Letts JA. 2020. Plant mitochondrial complex III2 from Vigna radiata supercomplex III2+IV, focused refinement. EMDataBank. 22448

    Maldonado M, Padavannil A, Zhou L, Guo F, Letts JA. 2020. Cryo electron micrographs of digitonin-solubilized, amphipol-stabilized, sucrose-gradient-purified V. radiata mitochondrial membranes - mixed fraction containing CI*, CIII2 and SC III2+IV. Electron Microscopy Public Image Archive. EMPIAR-10586


    Articles from eLife are provided here courtesy of eLife Sciences Publications, Ltd

    RESOURCES