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. 2020 Oct 22;9:e61496. doi: 10.7554/eLife.61496

Structural basis of ClpXP recognition and unfolding of ssrA-tagged substrates

Xue Fei 1,†, Tristan A Bell 1,†, Sarah R Barkow 2, Tania A Baker 1, Robert T Sauer 1,✉
Editors: Andrew P Carter3, Cynthia Wolberger4
PMCID: PMC7652416  PMID: 33089779

Abstract

When ribosomes fail to complete normal translation, all cells have mechanisms to ensure degradation of the resulting partial proteins to safeguard proteome integrity. In Escherichia coli and other eubacteria, the tmRNA system rescues stalled ribosomes and adds an ssrA tag or degron to the C-terminus of the incomplete protein, which directs degradation by the AAA+ ClpXP protease. Here, we present cryo-EM structures of ClpXP bound to the ssrA degron. C-terminal residues of the ssrA degron initially bind in the top of an otherwise closed ClpX axial channel and subsequently move deeper into an open channel. For short-degron protein substrates, we show that unfolding can occur directly from the initial closed-channel complex. For longer degron substrates, our studies illuminate how ClpXP transitions from specific recognition into a nonspecific unfolding and translocation machine. Many AAA+ proteases and protein-remodeling motors are likely to employ similar multistep recognition and engagement strategies.

Research organism: E. coli

Introduction

ClpXP and related AAA+ proteases maintain cellular health by degrading incomplete, damaged, or unneeded proteins in a process that must be specific to avoid destruction of essential intracellular proteins (Sauer and Baker, 2011). ClpX (a AAA+ protein unfoldase/translocase) and/or ClpP (a self-compartmentalized peptidase) are also potential therapeutic targets for bacterial pathogens, such as Mycobacterium tuberculosis, as well as in human developmental defects, hematological disease, and cancer (Bhandari et al., 2018). In bacteria and eukaryotic organelles, AAA+ proteases typically recognize substrates via short N- or C-terminal peptide sequences. Escherichia coli ClpXP, for example, degrades proteins bearing a C-terminal degron called the ssrA tag that is added during tmRNA-rescue of stalled ribosomes (Keiler et al., 1996; Keiler, 2015). During rescue, tmRNA binds in the empty A-site of a stalled ribosome, adds a charged alanine to the nascent polypeptide in a tRNA-like reaction, replaces the original mRNA with a short open reading frame that directs translation of the remaining residues of the ssrA degron, and finally recruits translation termination factors via a stop codon. A different bacterial mechanism, which is similar to eukaryotic systems, adds alanine tails to the nascent polypeptide during the ribosome-rescue reaction (Buskirk and Green, 2017; Lytvynenko et al., 2019).

The sequence of the E. coli ssrA tag is AANDENYALAA-coo– (Keiler et al., 1996). The terminal Ala-Ala-coo– dipeptide of this degron is the most important element for ClpXP degradation (Flynn et al., 2001), and related degrons ending in Ala-Ala target other cellular proteins to ClpXP (Flynn et al., 2003; Neher et al., 2006; Lytvynenko et al., 2019). The ssrA tag initially binds in the axial channel of the hexameric AAA+ ClpX ring, where the pore-1, pore-2, and RKH loops contribute to recognition (Siddiqui et al., 2004; Farrell et al., 2007; Martin et al., 2008b; Iosefson et al., 2015). Subsequent mechanical reactions requiring ATP hydrolysis unfold adjacent regions of native protein structure and then translocate the denatured polypeptide through the channel and into the degradation chamber of the double-ring ClpP14 peptidase for proteolysis (Sauer and Baker, 2011; Olivares et al., 2018). Here, we establish the molecular basis of the recognition step in targeted ClpXP degradation of ssrA-tagged proteins. We also characterize subsequent unfolding/translocation steps that initiate processive degradation.

Results

Structure determination

For cryo-EM, we used an ssrA-tagged green fluorescent protein substrate (GFP-g3yg9senyalaa; ssrA residues underlined), a single-chain E. coli ClpX∆N pseudohexamer (Martin et al., 2005), and E. coli ClpP. Approximately 15 s before vitrification, we combined the GFP substrate and ATP with a mixture of the ClpX∆N variant, ClpP14, and ATPγS, which ClpX hydrolyzes more slowly than ATP (Burton et al., 2003). Classification and three-dimensional reconstruction of EM images containing one ClpX∆N pseudohexamer and one ClpP tetradecamer generated density maps of ClpX bound to one heptameric ring of ClpP14 and 7–10 residues of the ssrA degron in two distinct conformations at resolutions of 3.1–3.2 Å (Figure 1A and B). Details of the cryo-EM workflow, refinement strategy, local resolution, and representative density for portions of ClpX or ClpP can be found in Figure 1—figure supplements 1, 2 and 3, and in Table 1. As seen in previous high-resolution cryo-EM structures (Fei et al., 2020; Ripstein et al., 2020), subunits of the ClpX∆N hexamer formed a shallow spiral (labeled ABCDEF from the top to the bottom of the spiral in the clockwise direction), which docked asymmetrically with a flat ClpP7 ring. The pore of the cis ClpP ring contacting ClpX was open, as expected (Fei et al., 2020; Ripstein et al., 2020), but the pore of the trans ClpP ring was closed in both new structures. The ssrA degron bound in the top of the ClpX channel in a structure we call the recognition complex and moved ~25 Å or six residues deeper into the channel in a structure we call the intermediate complex (Figure 1B). The presence of clear side-chain density for the ssrA degron is the most important difference between our current structures and those previously reported by our group (Fei et al., 2020) and by Ripstein et al., 2020. By contrast, in our previous structures, uncharacterized substrates apparently copurified with ClpXP, whereas a specific substrate was used for the studies of Ripstein et al. but no side-chain density was observed.

Figure 1. ClpXP complexes with ssrA degrons.

(A) Side and top views of the composite cryo-EM density from the recognition complex. (B) The upper portion of the panel shows transparent density for the ssrA degron (stick representation) in the recognition and intermediate complexes; the lower portion shows the offset positions of the ssrA degron (space-filling representation) in the channel of ClpX (cartoon representation) in both complexes after removal of subunit F. In this and all subsequent figures, ClpX is colored blue, green, or purple; ClpP is yellow; and substrate is orange/gold.

Figure 1.

Figure 1—figure supplement 1. Cryo-EM data and strategy.

Figure 1—figure supplement 1.

Data processing workflow. EM images contained singly capped complexes (one ClpX hexamer bound to one ClpP tetradecamer) or doubly capped complexes (two ClpX hexamers bound to one ClpP tetradecamer). Singly capped complex (red boxes) were selected for further refinement and classification. The recognition and intermediate complexes accounted for 92% of all of the singly capped complexes.
Figure 1—figure supplement 2. Cryo-EM data validation.

Figure 1—figure supplement 2.

(A) Density maps of ClpP, the recognition complex, and the intermediate complex are colored by local resolution. (B) Fourier Shell Correlation (FSC) plots of half maps (blue) or model-map (red). Dashed lines show a cut-off value of 0.143 (blue) or 0.5 (red). Resolutions reported are for a half map FSC of 0.143. (C) Euler-angle orientation distribution for the recognition and intermediate complexes.
Figure 1—figure supplement 3. Representative density.

Figure 1—figure supplement 3.

Density for portions of the ClpX component of the recognition complex is shown in panel (A); for the ClpX component of the intermediate complex in panel (B); and for ClpP in panel (C).
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Table 1. Cryo-EM data collection, processing, model building, and validation statistics.

Name ClpP ClpXP-ssrA
Recognition
complex		 ClpXP-ssrA
Intermediate
complex
PDB ID 6WR2 6WRF 6WSG
EMDB ID EMD-21875 EMD-21882 EMD-21892
Data collection/processing
Microscope Talos Arctica
Camera K3
Magnification 45,000X
Voltage (kV) 200
Total electron dose (e-/Å2) 53
Defocus range (µm) −1.2 to −2.5
Pixel size (Å) 0.435
Micrographs collected 4525
Final particles 344069 139817 130240
Symmetry C1 C1 C1
Resolution Å (FSC 0.143) 2.8 3.1 3.2
Model composition
Non-hydrogen atoms 21,310 26,835 25,932
Protein residues 2729 3450 3334
Ligands 0 6 5
Refinement
Map-model CC 0.82 0.77 0.74
RMSD bond lengths (Å) 0.015 0.003 0.011
RMSD bond angles (degrees) 1.16 0.73 1.13
Validation
MolProbity score 0.89 0.94 0.96
Clash score 1.5 1.9 1.7
C-beta deviations 0 0 0
Rotamer outliers (%) 0 0.07 0
Ramachandran favored (%) 98.9 99 99.3
Ramachandran disallowed (%) 0 0 0
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Determinants of degron recognition

The ssrA degron bound high in the axial channel of the recognition complex, where it was contacted by the RKH, pore-1, and pore-2 loops of ClpX (Figures 1B and 2A–2E; Figure 2—figure supplement 1). Importantly, access to the lower channel in this recognition complex was blocked by a previously unvisualized conformation of the pore-2 loop of ClpX subunit A (Figures 1B, 2B, C and D). Blockage of the axial pore has not been observed in other structures of ClpXP or different AAA+ proteases and protein-remodeling machines. Thr199 and Val202 side chains from the blocking pore-2 loop in the recognition complex made van der Waals and hydrophobic interactions with the Cβ methyl of the C-terminal alanine of the ssrA degron, and the side chain –OH of the same Thr199 side chain as well as the peptide –NH of Val154 in the pore-1 loop of chain B made hydrogen bonds with the α-coo– of the ssrA degron (Figure 2C and D; Figure 2—figure supplement 1). Tyr153 and Val154 side-chain or main-chain groups from pore-1 loops (subunits A/B) or Arg228 and His230 side chains from RKH loops (subunits B/C/D/F) made additional contacts with the Ala-Ala-coo– or neighboring degron regions (Figure 2C, D and E; Video 1; Figure 2—figure supplement 1). As we discuss below, multiple experiments support the role of the ClpX-degron contacts observed in our recognition structure for specific binding of ClpX to the ssrA tag.

Figure 2. ClpX-degron interactions.

(A) Positions of the RKH loop (blue), pore-1 loop (red), and pore-2 loop (green) in subunit A of the ClpX hexamer in the recognition complex relative to the positions of the ssrA degron (orange/gold). (B) Cutaway views of the recognition complex (left) and intermediate complex (right). In the recognition complex, the pore-2 loop of ClpX subunit A (denoted by red arrows) blocks the axial pore. The pore is open in the intermediate complex. (C) Key ClpX residues (blue or purple) and the C-terminal segment of the ssrA degron (gold) in the recognition complex are shown in stick representation. Dashed lines indicate hydrogen bonds. (D) ClpX-degron contacts in the recognition and intermediate complexes. ClpX or degron residues are shown in stick representation with semi-transparent density. (E) Subunit nucleotide state and degron/pore-loop interactions in the recognition and intermediate complexes.

Figure 2.

Figure 2—figure supplement 1. Detailed contacts between ClpX and the ssrA degron.

Figure 2—figure supplement 1.

(A) Schematic representation of recognition-complex contacts between ClpX side chains and the ssrA degron prepared using LigPlot (Wallace et al., 1995). Dashed lines indicate hydrogen bonds. Hydrophobic and van der Waal’s contacts are indicated by arcs with spokes. (B) LigPlot schematic of ClpX-degron contacts in the intermediate complex. (C, D) Surface area buried in the recognition or intermediate complexes between the ssrA degron and ClpX residues (X-axis) for different ClpX subunits (Y-axis).
Figure 2—figure supplement 2. Nucleotide density in subunits of the recognition complex (top) and the intermediate complex (bottom).

Figure 2—figure supplement 2.

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Video 1. Interaction of the ssrA degron with ClpX in the recognition complex.

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The ssrA tag is contacted by pore loops located at the top of the axial channel of ClpX. EM density is shown as a transparent surface. Hydrogen bonds between pore loops and the ssrA degron are shown as dashed lines.

First, as expected based upon the recognition-complex structure (Figure 2C and D, Figure 2—figure supplement 1A and B), we found that mutation of the penultimate or ultimate C-terminal alanines of the ssrA tag in 29-residue peptide substrates increased KM for ClpXP degradation but had little effect on Vmax (Figure 3A). A prior study showed that mutation of the antepenultimate residue of the ssrA tag (leucine) or the amino acid two residues upstream (tyrosine) also increases KM modestly (Flynn et al., 2001), which can also be rationalized based upon recognition-complex contacts (Figure 2C and D, Figure 2—figure supplement 1A and B). Second, previously characterized Y153A, V154F, and R228A ClpX mutations increase KM for ClpP degradation of ssrA-tagged substrates 50-fold or more (Siddiqui et al., 2004; Farrell et al., 2007; Martin et al., 2008b; Iosefson et al., 2015). These mutational results are consistent with contacts observed between the wild-type side chains and portions of the ssrA tag in the recognition complex (Figure 2A and B; Figure 2—figure supplement 1A and B). Based upon the recognition-complex structure, we also constructed new T199A, T199S, T199V, V202A, and H230A variants. In assays of GFP-ssrA degradation, the T199A, T199V, V202A, and H230A mutations caused large increases in KM (Figure 3B). By contrast, KM for degradation by the conservative T199S variant increased only ~4-fold (Figure 3A), supporting a key role for a hydrogen bond between the side-chain hydroxyl of Thr199 in ClpX and the α-carboxylate of the ssrA degron (Figure 2C, Figure 2—figure supplement 1A and B). Third, compared to wild-type ClpXP, the R228A variant displays reduced specificity for an ssrA-tagged substrate and increased specificity for an N-degron substrate (Farrell et al., 2007). Finally, human ClpXP has leucines at positions corresponding to Thr199 and His230 in E. coli ClpX and does not degrade ssrA-tagged substrates, but a human hybrid containing transplanted pore-2 and RKH loops from the E. coli enzyme acquires this activity (Martin et al., 2008b).

Figure 3. Mutations affecting recognition-complex contacts increase KM for ClpXP degradation.

Figure 3.

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(A) Steady-state KM (top) and Vmax (bottom) parameters (means ± SD; n = 3) for wild-type ClpXP degradation of synthetic peptide substrates containing an aminobenzoic-acid (ABZ) fluorophore and nitrotyrosine (YNO2) quencher (wild-type sequence ABZ-FAPHMALVPYNO2GYGGKKLAANDENYALAA; gray bar) with substitutions for the penultimate residue (green bars), C-terminal residue (dark red bars), or α-carboxylate (red bar). The statistical significance of KM or Vmax values relative to the wild-type Ala-Ala-COO– values was calculated using Student's two-tailed t-test (ns, not significant; *, p<0.05; **, p<0.01; ***, p<0.001). (B) Degradation of GFP-ssrA by ClpX∆N/ClpP and variants. Data are means ± SD (n = 3 to 6), and lines are fits to the Michaelis-Menten equation. Fitted KM values (µM) were 1.3 ± 0.2 (wild type), 6.3 ± 1.7 (T199S), and 89 ± 34 µM (T199V). Fitted Vmax values (min−1 ClpX−1) were 2.0 ± 0.1 (wild type), 3.1 ± 0.2 (T199S), and 3.7 ± 2.0 (T199V). For the T199A, V202A, and H230A variants, unconstrained fits had huge error limits, and fits with Vmax constrained to less than or equal to 4 min−1 ClpX−1 gave KM values from 140 to 240 µM.

The intermediate complex resembles translocation complexes

In the intermediate complex, five ClpX pore-1 loops and four pore-2 loops packed against degron side chains with a periodicity of two residues (Figure 2B and C, Figure 2—figure supplement 1C and D, Video 2). This arrangement of pore loops interacting with polypeptide in the channel has been observed previously in ClpXP complexes with other substrates and in different AAA+ proteases and protein-remodeling machines (Fei et al., 2020; Ripstein et al., 2020; Puchades et al., 2020). These enzyme structures are thought to reflect snapshots during non-specific translocation. Indeed, ClpXP translocates a variety of sequences, including polymeric tracts of glycine, proline, lysine, arginine, glutamate, and glutamine (Barkow et al., 2009), and the specific contacts observed in the recognition complex were absent in the intermediate complex. Non-specific translocation allows ClpXP to degrade any protein after degron recognition and unfolding of attached native structure (Sauer and Baker, 2011). By contrast, our results suggest that the pore-2 loop of ClpX subunit A occludes the axial channel (Figure 2B) prior to substrate binding, thereby preventing non-specific binding and degron-independent degradation.

Video 2. Interaction of the ssrA degron with ClpX in the intermediate complex.

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The pore-1 and pore-2 loops from different subunits of ClpX interact with every two residues of the ssrA degron, as observed in other structures of ClpXP and related AAA+ proteins. EM density is shown as a transparent surface. Hydrogen bonds between pore loops and the ssrA degron are shown as dashed lines.

Table 2A lists Cα RMSDs between ClpX hexamers in the intermediate or recognition complexes and prior high-resolution structures of ClpXP 'translocation' complexes (Fei et al., 2020; Ripstein et al., 2020). Table 2B shows that each of these structures contains ATP/ATPγS in subunits B, C, D, and E, with differences in nucleotide occupancy of subunits A and F. Among these structures, the intermediate complex is unique in containing a nucleotide-free subunit A.

Table 2. Comparisons between high-resolution ClpXP structures.

(A). RMSDs between Cα positions. (B). Nucleotides bound in different subunits of high-resolution ClpXP structures. Gray shading indicates subunits that always contain ATP or ATPγS.

Table 2A
PDB ID Name Reference RMSD (Å) RMSD (Å)
Recognition complex Intermediate complex
6WSG Intermediate complex This paper 2.8 0.0
6PP8 Class 1 Fei et al., 2020 2.0 1.9
6PP7 Class 2 Fei et al., 2020 2.8 1.3
6PP6 Class 3 Fei et al., 2020 1.4 2.7
6PP5 Class 4 Fei et al., 2020 1.4 2.9
6VFS Conformation A Ripstein et al., 2020 3.0 2.6
6VFX Conformation B Ripstein et al., 2020 1.6 3.0
Table 2B
PDB ID Name ClpX subunit Reference
A B C D E F
6WRF Recognition complex ATP ATP ATP ATP ATP ADP This paper
6WSG Intermediate complex - ATP ATP ATP ATP ATP This paper
6PP8 Class 1 ATP ATP ATP ATP ATP ADP Fei et al., 2020
6PP7 Class 2 ADP ATP ATP ATP ATP ATP Fei et al., 2020
6PP6 Class 3 ATP ATP ATP ATP ATP ADP Fei et al., 2020
6PP5 Class 4 ATP ATP ATP ATP ATP ADP Fei et al., 2020
6VFS Conformation A ADP ATP ATP ATP ATP ADP Ripstein et al., 2020
6VFX Conformation B ATP ATP ATP ATP ATP ADP Ripstein et al., 2020
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Dependence of substrate unfolding on degron length

Can a stable protein substrate, like GFP, be unfolded directly from the recognition complex or is substrate engagement by additional pore-1 and pore-2 loops deeper in the ClpX channel, as a consequence of one or more translocation steps, required to allow mechanical substrate denaturation? If direct unfolding from the recognition complex is possible, then a degron of ~5 residues, which is the number of ssrA-tag residues interacting with ClpX in the recognition complex, should be sufficient for degradation. By this model, longer degrons should also support degradation, but shorter degrons should not because they cannot make contacts needed for recognition. To test this model, we constructed substrates with degrons of 3, 5, 7, 9, or 11 residues following the last structured residue of GFP (Figure 4A) and assayed degradation.

Figure 4. Degradation dependence on degron length.

Figure 4.

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(A) Cartoon of GFP (pdb 1EMA; Ormö et al., 1996) with degron tails of 3, 5, 7, 9, and 11 residues. (B) Plots of steady-state ClpX∆N/ClpP degradation rates (means ± SD; n = 3) as a function of substrate concentration. Lines are fits to the Michaelis-Menten equation. Fitted KM and Vmax values represent averages of three independent determinations ± SD. (C) Model of GFP-yalaa bound to ClpXP (cartoon and semi-transparent surface representation) created by aligning the yalaa of GFP to the same sequence in the recognition complex and then minimizing clashes both manually and computationally. (D) Close-up view of the ClpX-GFP-yalaa model (subunits E and F removed), corresponding to the dashed rectangle in panel C, with the yalaa shown in ball-and-stick representation. (E) Cartoon in which one power stroke unfolds GFP by translocating the yalaa degron six residues deeper into the channel of ClpX.

Strikingly, GFP-laa was not degraded, whereas GFP-yalaa and substrates with longer tags were robustly degraded (Figure 4B). Modeling revealed that the native barrel of GFP-yalaa docked snugly with the top of the AAA+ ClpX ring, with the yalaa in the same position as in the recognition complex (Figure 4C and D; Video 3). By contrast, the tag of GFP-laa was too short to allow formation of recognition-complex contacts without severe steric clashes with ClpX. It might be argued that the C-terminal β-strand of GFP-yalaa, which is ~20 residues in length, unfolds to allow additional C-terminal residues of the substrate to bind deeper in the channel of ClpX. However, global GFP unfolding occurs with a half-life of years (Kim et al., 2000), and the C-terminal β-strand remains stably associated even when it is non-covalently attached to the remaining native structure (Nager et al., 2011). The inability of ClpXP to degrade GFP-laa also argues against a model for degradation in which the C-terminal β-strand of GFP spontaneously denatures. We conclude that a power stroke initiated directly from the recognition complex can unfold GFP-yalaa (Figure 4E).

Video 3. Model of the interaction between GFP-yalaa and the ClpX portion of the recognition complex.

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GFP with a five-residue yalaa degron docks snuggly and without major clashes with the ClpX ring.

Subunits ABCDE of ClpX contained ATP/ATPγS and subunit F contained ADP in the recognition complex, whereas subunit A was nucleotide free and the remaining subunits were ATP/ATPγS bound in the intermediate complex (Figure 2C, Figure 2—figure supplement 2). Thus, it is plausible that ATP hydrolysis in subunit A of the recognition complex drives an unfolding power stroke and conversion to the intermediate complex. Video 4 shows a morph illustrating the transition between these states. The six-residue offset in the position of the ssrA tag between the two complexes (Figure 1B) is consistent with optical-trap experiments that show a fundamental ClpXP translocation step of 5–8 amino acids (Aubin-Tam et al., 2011; Maillard et al., 2011). Hence, for sufficiently short tags, a single power stroke from the recognition complex could move the tag six residues deeper into the channel, unfolding native structure N-terminal to the tag in the process (Figures 4E and 5, bottom pathway). For longer tags, including the 20-residue degron used for our cryo-EM studies, continued translocation after the first power stroke would eventually bring the native protein in contact with the top of the ClpX channel, where additional power strokes could apply an unfolding force (Figure 5, top pathway).

Figure 5. Models for substrate recognition, engagement, and unfolding by ClpXP.

Figure 5.

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Top. A substrate with a relatively long degron (~20 residues) is recognized and subsequent ATP-dependent power strokes then move the degron deeper into the ClpX channel in the intermediate complex, and then the engaged complex, from which unfolding occurs. Bottom. A substrate with a short degron (~5 residues) forms a recognition complex that is engaged and can therefore carry out direct ATP-dependent unfolding.

Video 4. Side and top views of a morph between the recognition and intermediate complexes with one ClpX subunit removed for clarity.

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This morph was generated by aligning subunit A in the recognition complex spiral with subunit F in the intermediate complex spiral after superimposing the ClpP portions of the two structures. In the morph, the purple subunit and ssrA degron move 25 Å or six residues deeper into the axial channel toward ClpP.

Discussion

Our cryo-EM structures of the recognition and intermediate complexes represent the first instances in which ClpX interactions with specific side chains of a protein substrate have been visualized. The general properties of the intermediate complex are similar to previously determined structures of ClpXP translocation complexes in the sense that the axial channel is open and five pore-1 loops and multiple pore-2 loops contact every two residues of the substrate polypeptide in the channel (Fei et al., 2020; Ripstein et al., 2020). This structural feature has been widely observed in AAA+ proteases and protein-remodeling machines, suggesting that these diverse molecular machines employ a common mechanism of substrate translocation (for review, see Puchades et al., 2020).

Strikingly, the recognition complex of ClpX bound to the ssrA degron is unique compared to previously determined structures. For example, all previous structures have open channels, whereas the axial channel of the AAA+ ring of ClpX in the recognition complex is closed by the pore-2 loop of subunit A, which makes specific contacts with the C-terminal residue of the ssrA tag. Moreover, only the pore-1 loops of the top two subunits in the ClpX spiral contact the substrate degron in the recognition complex, as opposed to contacts between five pore-1 loops and substrates in other known structures. The contacts we see between ClpX and the ssrA degron in the recognition complex explain multiple biochemical results, including ones that show that the C-terminal Ala-Ala dipeptide of the ssrA tag is most important for ClpXP degradation (Flynn et al., 2001; Figure 3A) and others that demonstrate that the side chains of six ClpX residues in the pore-1 loop (Tyr153, Val154), pore-2 loop (Thr199, Val202), and RKH loop (Arg228, His230) play critical roles both in substrate binding and in substrate specificity (Siddiqui et al., 2004; Farrell et al., 2007; Martin et al., 2008b; Iosefson et al., 2015; Figure 3B).

In addition to providing a specific binding site for the ssrA degron, the closed axial channel of the recognition complex would preclude the non-specific binding of substrate polypeptides that is observed in the open channels of the intermediate complex and related structures. Non-specific binding in the intermediate complex explains how ClpXP efficiently translocates and degrades diverse polypeptide sequences (Barkow et al., 2009), including unnatural amino acids, but could also result in inappropriate degradation of proteins that initially bound in an open channel. Our structures suggest a simple solution to this problem. Only following specific recognition of the ssrA degron in the closed-pore conformation does the pore-2 loop of subunit A move to permit passage and interaction of deeper channel residues with any polypeptide sequence.

Structures, by themselves, can suggest but do not establish order in a kinetic pathway. However, a recent study of the kinetics of ClpXP association with a substrate bearing a 20-residue ssrA degron similar to the one studied here provides evidence for three sequentially occupied substrate-bound conformations (Saunders et al., 2020). The first two are likely to correspond to our recognition and intermediate complexes. Conversion of the first to the second complex depends on the rate of ATP hydrolysis, as does formation of the third kinetically defined state, which is probably similar to the fully engaged complex depicted in Figure 5. Prior ClpXP complexes showing the native portion of a protein substrate contacting the top of the central channel with an attached peptide filling the channel (Fei et al., 2020) provide structural evidence for this fully engaged state. Our results indicate that ClpX can unfold short-degron substrates directly from the closed-channel recognition complex, in which just two pore-1 loops contact the degron, and long-degron substrates from a subsequent open-channel engaged complex in which five pore-1 loops engage the substrate (Figure 5). Although unfolding in these two cases must be somewhat different in terms of the detailed mechanism, substrate residues in the upper part of the channel are gripped most tightly during ClpXP unfolding of substrates with long degrons (Bell et al., 2019), supporting a model in which ClpX-substrate contacts near the top of the channel play key roles in both unfolding mechanisms.

The multistep mechanism proposed here for protein degradation by ClpXP may be used by related AAA+ proteases that recognize unstructured degrons, as it nicely resolves how unfolding motors make initiation highly specific (and thus limited to appropriate protein targets) but then allow nonspecific unfolding and translocation for subsequent degradation and/or remodeling. Whether other AAA+ enzymes also use closed axial channels for degron recognition remains to be determined. More generally, AAA+ proteases and protein-remodeling machines must deal with problems similar to those encountered by multisubunit enzymes in transcription, translation, DNA replication, and protein secretion, which also require transitions from specific recognition conformations to complexes that utilize the chemical energy of ATP or GTP hydrolysis to processively and non-specifically move along their polymeric substrates.

Materials and methods

Key resources table.

Reagent type
(species) or
resource		 Designation Source or
reference		 Identifiers Additional
information
Strain, strain background (Escherichia coli) ER2566 NEB 1312 Chemically competent cells
Gene (Escherichia coli) clpX E. coli (strain K12) EXPASY UniProtKB- P0A6H1
Gene (Escherichia coli) clpP E. coli (strain K12) EXPASY UniProtKB- P0A6G7
Recombinant DNA reagent pT7 ClpX (plasmid) Kim et al., 2000 N-terminally His6-tagged ClpX for overexpression
Recombinant DNA reagent pT7 ClpXΔN(plasmid) Martin et al., 2005 N-terminally His6-tagged ClpXΔN(residues 62–424) for overexpression
Recombinant DNA reagent pT7-ClpXΔN-T199A (plasmid) This paper, Material and methods ClpXΔN (residues 62–424) T199A mutant, can be obtained from the Sauer lab
Recombinant DNA reagent pT7-ClpXΔN-T199S (plasmid) This paper, Material and methods ClpXΔN (residues 62–424) T199S mutant, can be obtained from the Sauer lab
Recombinant DNA reagent pT7-ClpXΔN-T199V (plasmid) This paper, Material and methods ClpXΔN (residues 62–424) T199V mutant, can be obtained from the Sauer lab
Recombinant DNA reagent pT7-ClpXΔN-V202A (plasmid) This paper, Material and methods ClpXΔN (residues 62–424) V202A mutant, can be obtained from the Sauer lab
Recombinant DNA reagent pT7-ClpXΔN-H230A (plasmid) This paper, Material and methods ClpXΔN (residues 62–424) H230A mutant, can be obtained from the Sauer lab
Recombinant DNA reagent PACYC-ClpXΔN6-TEV-cHis6 (plasmid) Martin et al., 2005 ClpX expression, can be obtained from the Sauer lab
Recombinant DNA reagent pT7 ClpP (plasmid) Kim et al., 2000 C-terminally His6-tagged ClpP for overexpression
Recombinant DNA reagent pT7-GFP-ssrA
(plasmid)		 Kim et al., 2000 Expresses fluorescent substrate for degradation assays, can be obtained from the Sauer lab
Recombinant DNA reagent pT7 GFP LAA (plasmid) This paper N-terminally His6-tagged GFP (1-229) substrates with a LAA C-terminal tail, for overexpression.
Recombinant DNA reagent pT7 GFP YALAA (plasmid) This paper N-terminally His6-tagged GFP (1-229) substrates with a YALAA C-terminal tail, for overexpression.
Recombinant DNA reagent pT7 GFP ENYALAA (plasmid) This paper N-terminally His6-tagged GFP (1-229) substrates with a ENYALAA C-terminal tail, for overexpression.
Recombinant DNA reagent pT7 GFP NDENYALAA (plasmid) This paper N-terminally His6-tagged GFP (1-229) substrates with a NDENYALAA C-terminal tail, for overexpression.
Recombinant DNA reagent pT7 GFP AANDENYALAA (plasmid) This paper N-terminally His6-tagged GFP (1-229) substrates with a AANDENYALAA C-terminal tail, for overexpression.
Peptide, recombinant protein ABZ-FAPHMALVPYNO2GYGGKKLAANDENYALAA-COO- This paper Fluorescent peptide, for degradation assays
Peptide, recombinant protein ABZ-FAPHMALVPYNO2GYGGKKLAANDENYALGA-COO- This paper Fluorescent peptide, for degradation assays
Peptide, recombinant protein ABZ-FAPHMALVPYNO2GYGGKKLAANDENYALIA-COO- This paper Fluorescent peptide, for degradation assays
Peptide, recombinant protein ABZ-FAPHMALVPYNO2GYGGKKLAANDENYALFA-COO- This paper Fluorescent peptide, for degradation assays
Peptide, recombinant protein ABZ-FAPHMALVPYNO2GYGGKKLAANDENYALDA-COO- This paper Fluorescent peptide, for degradation assays
Peptide, recombinant protein ABZ-FAPHMALVPYNO2GYGGKKLAANDENYALKA-COO- This paper Fluorescent peptide, for degradation assays
Peptide, recombinant protein ABZ-FAPHMALVPYNO2GYGGKKLAANDENYALAG-COO- This paper Fluorescent peptide, for degradation assays
Peptide, recombinant protein ABZ-FAPHMALVPYNO2GYGGKKLAANDENYALAI-COO- This paper Fluorescent peptide, for degradation assays
Peptide, recombinant protein ABZ-FAPHMALVPYNO2GYGGKKLAANDENYALAF-COO- This paper Fluorescent peptide, for degradation assays
Peptide, recombinant protein ABZ-FAPHMALVPYNO2GYGGKKLAANDENYALAD-COO- This paper Fluorescent peptide, for degradation assays
Peptide, recombinant protein ABZ-FAPHMALVPYNO2GYGGKKLAANDENYALAK-COO- This paper Fluorescent peptide, for degradation assays
Peptide, recombinant protein ABZ-FAPHMALVPYNO2GYGGKKLAANDENYALAA-CONH2 This paper Fluorescent peptide, for degradation assays
Software, algorithm Relion Zivanov et al., 2018 RRID:SCR_016274 EM reconstruction software
Software, algorithm UCSF Chimera Pettersen et al., 2004 RRID:SCR_004097 Molecularvisualizationsoftware
Software, algorithm UCSF ChimeraX Goddard et al., 2018 RRID:SCR_015872 Molecularvisualizationsoftware
Software, algorithm Phenix Adams et al., 2010 RRID:SCR_014224 Structure refinement software
Software, algorithm MolProbity Williams et al., 2018 RRID:SCR_014226 Protein modelevaluationsoftware
Software, algorithm PyMOL Schrödinger, LLC. RRID:SCR_000305 Molecularvisualizationsoftware
Software, algorithm Coot Emsley and Cowtan, 2004 RRID:SCR_014222 Protein modelbuildingsoftware
Software, algorithm Ctffind Rohou and Grigorieff, 2015 RRID:SCR_016732 EM image analysis software
Software, algorithm PISA 'Protein interfaces, surfaces and assemblies' service
PISA at the European Bioinformatics Institute (http://www.ebi.ac.uk/pdbe/prot_int/pistart.html)		 RRID:SCR_015749 Protein modelanalysis software
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Proteins and peptides

His6-tagged variants of E. coli ClpX, ClpX∆N (residues 62–424), single-chain ClpX∆N (units connected by six-residue linkers), and ClpP were purified as described (Kim et al., 2000; Bell et al., 2019). Peptide substrates were synthesized as described (Barkow et al., 2009), and mutant variants of ClpX∆N or GFP were constructed by PCR as described (Stinson et al., 2013).

Cryo-EM

We combined single-chain ClpX∆N (4 µM), ClpP (1.8 µM), and ATPγS (2.5 mM) in buffer containing 20 mM HEPES (pH 7.5), 100 mM KCl, and 25 mM MgCl2. After 5 min at 25°C, we added an equal volume of GFP-g3yg9senyalaa (20 µM) and ATP (2.5 mM) in the same buffer, and applied 3 µL to glow discharged EM grids (Quantifoil R2/2 400 mesh). The GFP portion of this substrate consisted of residues 1–229, which includes only the C-terminal amino acids observed in a crystal structure (Ormö et al., 1996). An ATPγS/ATP mixture was used to allow rapid substrate binding, while slowing translocation and unfolding (Burton et al., 2003; Martin et al., 2008a; Saunders et al., 2020). Samples were blotted and vitrified within 15 s of final mixing. 4525 micrographs were collected using a Talos Arctica with a Gatan K3 direct electron detector (super-resolution pixel 0.435 Å; uncalibrated magnification X45,000). EM images contained complexes in which ClpP14 was bound to one (~60%) or two (~40%) ClpX∆N hexamers. After three rounds of 2D classification, 344,069 complexes with one ClpX∆N hexamer were selected for 3D reconstruction. Using a 40 Å low-pass filtered ClpP map as the search model (EMDB: EMD-20434, Fei et al., 2020) but no mask, 3D auto-refinement without symmetry (C1) yielded a ClpXP map at 3.5 Å resolution. CTF-refinement and particle polishing improved the overall resolution of this map to 2.8 Å. After focused classification on ClpX without alignment, multiple runs with different class numbers converged to two major classes, which were later named the recognition complex (3.1 Å resolution) and intermediate complex (3.2 Å resolution). Data analysis and reconstruction was performed within the Relion 3.0.8 pipeline (Zivanov et al., 2018). We docked structures of ClpP (pdb 6PPE) or ClpXP-substrate complexes (pdb 6PP5 and 6PP7) into EM maps using Chimera (Pettersen et al., 2004), rigid-body refined ClpX domains using Coot (Emsley and Cowtan, 2004), and performed real-space refinement using PHENIX (Adams et al., 2010). The ssrA degron was first modeled and refined as polyalanine, and specific side chains were modeled and refined subsequently.

Degradation assays

Peptide degradation by wild-type ClpXP (0.3 µM full-length ClpX6; 0.8 µM ClpP14) was assayed by changes in fluorescence (excitation/emission: 320/420 nm) at 30°C in 25 mM HEPES [pH 7.6], 200 mM KCl, 5 mM MgCl2, 0.032% NP-40, 10% glycerol with 4 mM ATP, 16 mM creatine phosphate, and 0.32 mg/ml creatine phosphokinase (Barkow et al., 2009). Degradation of ssrA-tagged GFP substrates by wild-type or variant ClpX∆N hexamers (0.1–0.3 µM) and ClpP14(0.3–0.9 µM) was assayed by changes in fluorescence (excitation/emission: 467/511 nm for low-substrate concentrations or 420/540 nm for high substrate concentrations) under similar conditions but at 37°C, without NP-40, and with 5 mM ATP (Kim et al., 2000).

To model GFP-yalaa binding to ClpXP, we extended the C-terminal β-strand of GFP (pdb 1EMA; residues 2–229) with the sequence YALAA and aligned this sequence with the YALAA of recognition-complex degron using the PyMOL Molecular Graphics System, v. 2.0 (Schrödinger, LLC). Analysis in MolProbity (Williams et al., 2018) revealed multiple clashes between GFP and the RKH loops of ClpX, which were minimized manually in Coot (Emsley and Cowtan, 2004) by rotation of the residue 2–229 segment of GFP relative to the rest of the complex. To minimize clashes further, we created a map of the modeled complex and optimized geometry using the Calculate F(model) and Real-space refinement utilities, respectively in PHENIX (Adams et al., 2010). The final model had a MolProbity score of 1.0 (100th percentile) and one minor clash (0.44 Å) between GFP and ClpX.

Acknowledgements

Supported by NIH grant GM-101988. We thank C Xu, K Song, and K Lee at the Electron Microscopy Facility at the U Mass. Medical School for advice and data collection and S Jenni and D Southworth for thoughtful comments on the manuscript.

Funding Statement

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Contributor Information

Robert T Sauer, Email: bobsauer@mit.edu.

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

Cynthia Wolberger, Johns Hopkins University School of Medicine, United States.

Funding Information

This paper was supported by the following grant:

  • National Institute of General Medical Sciences GM-101988 to Robert T Sauer.

Additional information

Competing interests

No competing interests declared.

Author contributions

Conceptualization, Data curation, Validation, Investigation, Visualization, Methodology, Writing - original draft, Writing - review and editing.

Conceptualization, Data curation, Formal analysis, Investigation, Writing - original draft, Writing - review and editing.

Investigation, Writing - review and editing.

Supervision, Funding acquisition, Writing - review and editing.

Supervision, Funding acquisition, Investigation, Writing - original draft, Writing - review and editing.

Additional files

Transparent reporting form

Data availability

Structures have been deposited in PDB under the accession codes 6WSG, 6WR2, and 6WRF.

The following datasets were generated:

Fei X, Sauer RT. 2020. ClpXP-ssrA Intermediate complex. RCSB Protein Data Bank. 6WSG

Fei X, Sauer RT. 2020. ClpP. RCSB Protein Data Bank. 6WR2

Fei X, Sauer RT. 2020. ClpXP-ssrA Recognition complex. RCSB Protein Data Bank. 6WRF

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Decision letter

Editor: Andrew P Carter1

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

Acceptance summary:

This is the first high resolution structure of a substrate bound to the bacterial ClpXP degradation machinery. It uses cryoEM to reveal how the ssrA tag is recognised by ClpX's AAA+ ring.

Decision letter after peer review:

Thank you for submitting your article "Structural basis of ClpXP recognition and unfolding of ssrA-tagged substrates" 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 Cynthia Wolberger as the Senior Editor. The reviewers have opted to remain anonymous.

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

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). Specifically, when editors judge that a submitted work as a whole belongs in eLife but that some conclusions require a modest amount of additional new data, as they do with your paper, we are asking that the manuscript be revised to either limit claims to those supported by data in hand, or to explicitly state that the relevant conclusions require additional supporting data.

Our expectation is that the authors will eventually carry out the additional experiments and report on how they affect the relevant conclusions either in a preprint on bioRxiv or medRxiv, or if appropriate, as a Research Advance in eLife, either of which would be linked to the original paper.

Summary:

In E. coli, the AAA+ ClpXP protease degrades incomplete proteins resulting from stalled translation, which are labeled with a ssrA degron. Translocation of substrates by the ClpX AAA+ ring into the ClpP protease is non-sequence-specific, allowing the degradation of any degron-labeled incomplete protein. At the same time, specific recognition of the degron prevents the degradation of proteins that have not been labeled. How this initial sequence-specific recognition happens without allowing non-sequence-specific translocation, and how transitions to translocation, was not understood mechanistically. In this manuscript, Fei, Bell and colleagues use cryo-EM to solve the structures of two early stages in the process of engagement of substrates by ClpXP: (1) A "recognition" complex that shows how ClpXP binds to the ssrA degron in a sequence-specific manner, and in a conformation that prevents the non-specific engagement needed to lead to translocation and unfolding; and (2) an "intermediate" complex where the peptide has moved further into ClpXP, and where the interactions with the ssrA-substrate are reminiscent of previously reported translocation complexes that no longer engage substrates in a sequences-specific manner. The authors then use biochemistry to validate several of the sequence-specific interactions identified in the recognition complex. They also test the length requirements for the degron based on that structure.

Essential revisions:

1) More details on the cryo-EM data must be presented before the manuscript is ready for publication. Specifically:

a) The authors should include a supplementary figure with local resolution maps for the two structures. The images in Figure 1A suggest that ClpX is at a lower resolution than ClpP so it would be important for readers to know what this difference is more quantitatively. That figure should also include close-ups of different parts of the map spanning the resolution range, with the model fitted in. Similarly, if the maps in Figure 1A were locally filtered for display, that should be stated in the legend.

b) More generally, a supplementary figure on cryo-EM data quality and processing strategy would be nice. This would be the type of figure that shows the full processing pipeline (2D and 3D), showing the different structures that were obtained in 3D classification, and how many particles were chosen for the next step at each step. We are still at a point in the cryo-EM field where this information is both useful and interesting to other cryo-EM practitioners.

c) The authors must show close-ups of the cryo-EM map for all the nucleotide-binding sites listed in Figure 2C, with the model fitted in. Readers cannot be expected to accept the information in the table at face value.

d) The authors have submitted their cryo-EM maps. Please could they also submit the corresponding pdb files with the re-submission.

2) The authors should explain in more detail how the current work differs from and advances on the paper they published in ELife earlier in the year. The main text should contain details including the use of a defined substrate (vs. a non-specific peptide picked up during purification), the higher resolution of these current structures, a comparison of the previous structure with the intermediate form reported here etc. This would help a general reader to understand the advances in this work.

3) Some statistics for Figure 3A, indicating what differences are and are not significant, would be useful.

eLife. 2020 Oct 22;9:e61496. doi: 10.7554/eLife.61496.sa2

Author response

Essential revisions:

1) More details on the cryo-EM data must be presented before the manuscript is ready for publication. Specifically:

a) The authors should include a supplementary figure with local resolution maps for the two structures. The images in Figure 1A suggest that ClpX is at a lower resolution than ClpP so it would be important for readers to know what this difference is more quantitatively. That figure should also include close-ups of different parts of the map spanning the resolution range, with the model fitted in. Similarly, if the maps in Figure 1A were locally filtered for display, that should be stated in the legend.

We have added the requested local-resolution figure as part of Figure 1—figure supplement 2.

We have also added close-ups of different parts of the map as requested as part of Figure 1—figure supplement 3.

The maps were not locally filtered for display.

b) More generally, a supplementary figure on cryo-EM data quality and processing strategy would be nice. This would be the type of figure that shows the full processing pipeline (2D and 3D), showing the different structures that were obtained in 3D classification, and how many particles were chosen for the next step at each step. We are still at a point in the cryo-EM field where this information is both useful and interesting to other cryo-EM practitioners.

We have added the requested information as parts of Figure 1—figure supplements 1 and 2.

c) The authors must show close-ups of the cryo-EM map for all the nucleotide-binding sites listed in Figure 2C, with the model fitted in. Readers cannot be expected to accept the information in the table at face value.

As requested, we have added close-ups for density for all the nucleotide binding sites in the recognition and intermediate complexes as Figure 2—figure supplement 2.

d) The authors have submitted their cryo-EM maps. Please could they also submit the corresponding pdb files with the re-submission.

We apologize. The pdb files were uploaded to the eLife website, but obviously didn't make it to the reviewers.

2) The authors should explain in more detail how the current work differs from and advances on the paper they published in ELife earlier in the year. The main text should contain details including the use of a defined substrate (vs. a non-specific peptide picked up during purification), the higher resolution of these current structures, a comparison of the previous structure with the intermediate form reported here etc. This would help a general reader to understand the advances in this work.

Early in the Results section of the revised manuscript, we now write "The presence of clear side-chain density for the ssrA degron is the most important difference between our current structures and those previously reported by our group (Fei et al., 2020) and Ripstein et al. (2020)." We did not comment on higher resolution, as suggested, because the resolutions of the structures of Ripstein et al. were comparable to our current structures.

3) Some statistics for Figure 3A, indicating what differences are and are not significant, would be useful.

As requested, we have revised Figure 3A to contain significance probabilities calculated by Student's two-tailed t-test for comparisons of Vmax or KM values to the wild-type values.

Associated Data

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

    Data Citations

    1. Fei X, Sauer RT. 2020. ClpXP-ssrA Intermediate complex. RCSB Protein Data Bank. 6WSG
    2. Fei X, Sauer RT. 2020. ClpP. RCSB Protein Data Bank. 6WR2
    3. Fei X, Sauer RT. 2020. ClpXP-ssrA Recognition complex. RCSB Protein Data Bank. 6WRF

    Supplementary Materials

    Transparent reporting form
    elife-61496-transrepform.pdf (316.3KB, pdf)

    Data Availability Statement

    Structures have been deposited in PDB under the accession codes 6WSG, 6WR2, and 6WRF.

    The following datasets were generated:

    Fei X, Sauer RT. 2020. ClpXP-ssrA Intermediate complex. RCSB Protein Data Bank. 6WSG

    Fei X, Sauer RT. 2020. ClpP. RCSB Protein Data Bank. 6WR2

    Fei X, Sauer RT. 2020. ClpXP-ssrA Recognition complex. RCSB Protein Data Bank. 6WRF

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

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