Abstract
Clostridium perfringens autolysin (CpAcp) is a peptidoglycan hydrolase associated with cell separation, division, and growth. It consists of a signal peptide, ten SH3b domains, and a catalytic domain. The structure and function mechanisms of the ten SH3bs related to cell wall peptidoglycan binding remain unclear. Here, the structures of CpAcp SH3bs were studied through NMR spectroscopy and structural simulation. The NMR structure of SH3b6 was determined at first, which adopts a typical β-barrel fold and has three potential ligand-binding pockets. The largest pocket containing eight conserved residues was suggested to bind with peptide ligand in a novel model. The structures of the other nine SH3bs were subsequently predicted to have a fold similar to SH3b6. Their ligand pockets are largely similar to those of SH3b6, although with varied size and morphology, except that SH3b1/2 display a third pocket markedly different from those in other SH3bs. Thus, it was supposed that SH3b3-10 possess similar ligand-binding ability, while SH3b1/2 have a different specificity and additional binding site for ligand. As an entirety, ten SH3bs confer a capacity for alternatively binding to various peptidoglycan sites in the cell wall. This study presents an initial insight into the structure and potential function of CpAcp SH3bs.
Keywords: Acp, SH3b, NMR structure, peptidoglycan hydrolase, cell wall
1. Introduction
Gram-positive bacteria develop a thick cell wall which is a mesh polymer of peptidoglycans to protect the cells. Peptidoglycan consists of glycan chains that are cross-linked with peptide side chains [1]. A variety of lytic enzymes can hydrolyze peptidoglycans of the cell wall to regulate bacteria growth or infection [2]. These peptidoglycan hydrolases usually have a cell-wall-binding (CWB) module recognizing the peptide side chains and a catalytic domain cleaving specific type of linkage in peptidoglycan. According to the cleaving sites, they can be divided into different classes such as glucosaminidase, muramidase, amidase, and endopeptidase [3]. Due to their role in degrading bacteria cell wall, peptidoglycan hydrolases are increasingly engineered as alternatives to antibiotics against bacteria [4,5].
Clostridium perfringens is a Gram-positive, rod-shaped, spore-forming, and anaerobic bacterium that can be found on raw meat, in the intestines of animals, and in the environment. C. perfringens bacteria are one of the most common causes of foodborne illnesses such as food poisoning [6]. C. perfringens autolysin (CpAcp, UniProt ID: Q8XL11) encoded by gene CPE1231 is a peptidoglycan hydrolase expressed at growth phase and sporophore formative phase, and is associated with cell separation, division, and growth [2,7]. CpAcp has 1129 amino-acid residues and consists of a signal peptide, a CWB module containing ten tandem bacterial Src homology 3 (SH3b) domains, and a catalytic domain belonging to the N-acetylglucosaminidase family (Figure 1) [7,8]. The crystal structure of CpAcp catalytic domain has been determined to adopt a crescent-shaped fold with a deep groove at the center for substrate binding [8]. However, the structures of the ten SH3b domains of CpAcp have not been reported so far.
The SH3b domains in the CWB module of peptidoglycan hydrolases are considered to be essential for cell wall recognition and binding [9,10,11]. Many SH3b structures from various peptidoglycan hydrolases have been determined either in the isolated state or along with the catalytic domain, such as lysostaphin from Staphylococcus simulans [12], lysostaphin homolog ALE-1 from Staphylococcus capitis [10], Atl from Staphylococcus epidermidis [13], LytB from Streptococcus pneumonia [14], etc. These SH3b structures share a similar β-barrel fold consisting of 6~8 β-strands that can be roughly divided into two sheets, which is comparable to the well-known eukaryotic SH3 domains that target proline-rich peptides [15]. On the other hand, SH3bs show low sequence similarity to eukaryotic SH3s, suggesting that their functions are different to some extent [16]. Consistent with this, several studies have evidenced that SH3b domains of lysostaphin and ALE-1 recognize the interpeptide pentaglycine cross bridge in peptidoglycan [10,12,17]. However, not only the sequence of different SH3bs but also the number of tandem SH3bs in different peptidoglycan hydrolases varied considerably, suggesting the diverse binding specificity of the CWB modules of peptidoglycan hydrolases.
In this study, the solution structure of CpAcp SH3b6 was determined using NMR spectroscopy. Based on the structure, the function of SH3b6 was predicted through morphology analysis of the potential ligand-binding pockets and structure similarity comparison with the SH3b homologues having known ligands. Molecular docking implied a novel binding model of SH3b6 for peptide ligand. Meanwhile, the structural models of SH3b1/2/3/10 of CpAcp were built through homologous modeling, by which the overall cell-wall-binding function of CpAcp was supposed. This study will facilitate the comprehensive understanding of the function mechanism of CpAcp, and will guide the further experimental investigation on the binding of CpAcp SH3bs with peptide ligand from the cell wall peptidoglycan, which is beyond the scope of this article.
2. Results and Discussion
2.1. Structural Architecture of CpAcp
C. perfringens Acp is a large protein divided into at least 12 domains with different functions as aforementioned. To have an overall look into the structural architecture of CpAcp, PrDOS [18] (http://prdos.hgc.jp/cgi-bin/top.cgi) was used to analyze the disordered/ordered probability of full-length CpAcp. The result showed that all previously identified domains, including signal peptide, SH3bs, and catalytic domain, fell within ordered regions (disordered probability < 0.5), while the interdomain linkers were most disordered, except the short linker (5-residue long) between SH3b1 and SH3b2 (Figure 1). The lengths of interdomain linkers of CpAcp are mostly within the scope of 15–21 residues, whereas there are two linkers out of this range, which are the short SH3b1/2 linker mentioned above and the extremely long SH3b3/4 linker consisting of 41 residues. The long disordered interdomain linkers over 15 residues can usually confer flexibility facilitating the relatively independent motion of domains [19]. Thus, the SH3bs of CpAcp except SH3b1/2 were expected to motion independently and function individually, although interdomain regulation through interaction cannot be excluded. On the other hand, due to the short linker, SH3b1/2 may function synergistically.
2.2. NMR Structure of CpAcp SH3b6
In order to perform a detailed investigation on the structure of CpAcp CWB module, solution structure of SH3b6 (E469-V535) was determined using NMR spectroscopy at first (Figure 2A). The RMSD values for backbone atoms and heavy atoms in the ordered regions were 0.3 and 0.9 Å, respectively (Table 1, PDB ID: 2KT8). The overall structure adopted a β-barrel fold consisting of 7 β-strands (β1, 470–474; β2, 480–483; β3, 492–496; β4, 501–508; β5, 511–516; β6, 519–524; β7, 528–532) (Figure 2B). The β2 and β3 strands formed a β-hairpin that is exclusively found in SH3b but not in eukaryotic SH3 domains, while the other 5 β-strands are usually present in both SH3b and eukaryotic SH3 domains. The region of CpAcp SH3b6 containing the β2 and β3 strands corresponded to the well-known RT loop of eukaryotic SH3, which is usually engaged in binding to proline-rich peptides [15].
Table 1.
Conformationally Restricting Constraints 2 | |
---|---|
NOE-based distance constraints | |
Total | 822 |
Intra-residue (i = j) | 168 |
Sequential (|i − j| = 1) | 222 |
Medium-range (1< |i − j| <5) | 69 |
Long-range (|i − j| ≥ 5) | 363 |
Hydrogen bond constraints | |
Long-range (|i − j| ≥ 5)/total | 46/54 |
Dihedral angle constraints | 50 |
Residue Constraint Violations 2 | |
Average number of distance violations per structure | |
0.1–0.2 Å | 3.05 |
0.2–0.5 Å | 0.35 |
>0.5 Å | 0 |
Average RMS distance violation/constraint (Å) | 0.01 |
Maximum distance violation (Å) | 0.36 |
Average number of dihedral angle violations per structure | |
1–10° | 0.25 |
>10° | 0 |
Average RMS dihedral angle violation/constraint (degree) | 0.12 |
Maximum dihedral angle violation (degree) | 1.90 |
RMSD from average coordinates 2,3 | |
Backbone/heavy atoms (Å) | 0.3/0.9 |
Structure Quality Factors | |
Ramachandran plot statistics 2,3 | |
Most favored/allowed regions (%) | 98.0/2.0 |
Disallowed regions (%) | 0.0 |
Global quality scores(raw/Z-score) 2 | |
Verify3D | 0.47/0.16 |
Prosall | 0.31/−1.41 |
Procheck(phi-psi) 3 | −0.36/−1.10 |
Procheck(all) 3 | −0.13/−0.77 |
Molprobity clash | 17.01/−1.39 |
RPF Scores 4 | |
Recall/precision | 0.999/0.943 |
F-measure/DP-score | 0.971/0.875 |
1 Structural statistics were computed for the ensemble of 20 deposited structures. 2 Calculated using the PSVS 1.4 program. Residues (469–535) were analyzed. 3 Ordered residues ranges (with the sum of φ and ψ order parameters > 1.8): 470–475, 480–484, 492–496, 498–508, 511–516, and 520–529. 4 RPF scores reflected the goodness-of-fit of the final ensemble of structures, including disordered residues, to the NMR data.
ConSurf [20] analysis using 300 homologous sequences was performed for SH3b6 to identify evolutionarily conserved residues. As shown in Figure 2C, 17 residues with conserved score over 7 were found, among which S487, T488, and Y527 were located in loops, while the other 14 residues were located in β-strands, especially β2/5/6. Electrostatic surface potential analysis did not uncover particular regions lumped with positively or negatively charged residues (Figure 2D), implying that SH3b6 may not bind with highly charged ligand. Taken together, CpAcp SH3b6 forms a typical SH3b structure potential for binding to cell wall peptidoglycan.
2.3. Potential Ligand-Binding Pocket of CpAcp SH3b6
Eukaryotic SH3 domains usually contain a cleft or 2~3 adjacent pockets for binding to proline-rich peptide [15]. Correspondingly, SH3b domains such as those in lysostaphin and ALE-1 have the cleft or pockets for binding to pentaglycine peptide [12,17]. Moreover, there are also pockets in SH3b domains probably binding to small molecules as found in several SH3b crystal structures [14,21,22,23]. Based on the CpAcp SH3b6 structure, the potential ligand-binding pockets were identified using online software DoGSiteScorer [24] (https://proteins.plus/#dogsite). The result uncovered three pockets with different sizes of CpAcp SH3b6 (Figure 3 and Table 2), termed hereafter as P1, P2, and P3 from the largest to the smallest. All three pockets contained almost equal ratios of nonpolar and polar/charged residues, suggesting an amphipathic binding capacity. P1 was a long groove with a volume of 317.38 Å3, formed by β1-β2 loop, β2, β2-β3 loop, β5, β6, and β6-β7 loop. It is worth noting that eight highly conserved residues were involved in P1 (Figure 3A), implying a conserved function of P1. P2 had a volume of 210.82 Å3, formed by β2, β3, β3-β4 loop, β4, β5, and β6, while P3 had a volume of 125.25 Å3, formed by β1, β4, β5, and β7. The residues in P2 and P3 were significantly less conserved than those in P1 (Figure 3B,C), suggesting that their functions may be variable among homologues.
Table 2.
No. | Volume (Å3) | Surface (Å2) | Hydrogen Bond Donors/Acceptors | Hydrophobic Interactions | Amino Acid Ratio | |||
---|---|---|---|---|---|---|---|---|
Nonpolar | Polar | Positive | Negative | |||||
1 | 317.38 | 738.87 | 19/36 | 28 | 0.38 | 0.47 | 0.10 | 0.05 |
2 | 210.82 | 372.21 | 4/10 | 19 | 0.36 | 0.37 | 0.18 | 0.09 |
3 | 125.25 | 372.62 | 4/14 | 17 | 0.44 | 0.22 | 0.11 | 0.22 |
2.4. Structural Comparison of CpAcp SH3b6 with Other SH3b Proteins
Structure similarity analysis of CpAcp SH3b6 was carried out using Dali [25] server, and 100 peptide chains with Z-scores over 6.0 were identified. Most of these homologues showed sequence identity lower than 30% with CpAcp SH3b6. Those having been reported by published papers are summarized in Table 3 and partly shown in parallel with CpAcp SH3b6 in Figure 4. The listed 14 structures belong to 11 SH3b-containing peptidoglycan hydrolases. The structures 5LEO, 5NMY, 6RK4, and 6RJE belonging to S. simulans lysostaphin exhibit the same fold as SH3b. The sequence identities of these 11 SH3bs compared to CpAcp SH3b6 range from 27% to 10%. Overall structures of CpAcp SH3b6 and the 11 SH3b homologues share a similar β-barrel fold, but local conformations are diverse to various extents. The structures 4KRT, 3PVQ, 3NPF, 6BIQ, 4Q2W, 6BIM, 6ILU, and 3H41 are largely similar to CpAcp SH3b6, although modest differences can be found individually. β4-β5 loop of 4KRT is very long and adopts a short helix. β7 of 6BIQ turns out to be a rigid loop. β4 of 4Q2W is short. β4 of 6ILU adopts two short separated strands and β5 and β6 are shorter. β2-β3 loop of 3H41 adopts an inverse conformation compared to CpAcp SH3b6. Nevertheless, remarkable differences of 1R77, 5LEO, and 2MK5 with the above nine structures can be found as long β1 and a sequence insertion in the region corresponding to β6-β7 loop of CpAcp SH3b6. The inserted sequence adopts a loop in 1R77, a β-strand in 5LEO, and two β-strands in 2MK5, respectively.
Table 3.
PDB | Uniprot | Z-Score | RMSD | Ident% | Organism | Description | Ref. |
---|---|---|---|---|---|---|---|
4KRT | Q0SPG7 | 8.6 | 1.8 | 27 | Clostridium phage phiSM101 | Endolysin, Psm | [21] |
3PVQ | Q8A860 | 8.3 | 2.1 | 19 | Bacteroides thetaiotaomicron | NlpC/P60 family, YkfC | [26] |
3NPF | A7LS31 | 8.2 | 2.8 | 17 | Bacteroides ovatus | NlpC/P60 family, YkfC | [26] |
6BIQ | A2DC48 | 8.0 | 2.8 | 11 | Trichomonas vaginalis | NlpC/P60 family, NlpC_A2 | [27] |
4Q2W | P59205 | 8.0 | 3.5 | 16 | Streptococcus pneumoniae | N-acetylglucosaminidase, LytB | [14] |
6BIM | A2D7D7 | 7.7 | 3.8 | 11 | Trichomonas vaginalis | NlpC/P60 family, NlpC_A1 | [27] |
1R77 | O05156 | 7.5 | 1.6 | 15 | Staphylococcus capitis | Lysostaphin, ALE-1 | [10] |
5LEO | P10547 | 7.5 | 1.5 | 15 | Staphylococcus simulans | Lysostaphin | [12] |
6RK4 | P10547 | 7.5 | 1.5 | 15 | Staphylococcus simulans | Lysostaphin | [17] |
6ILU | A0A218KCJ1 | 7.4 | 1.9 | 15 | Bacillus phage PBC5 | Endolysin, LysPBC5 | [23] |
6RJE | P10547 | 7.4 | 1.5 | 15 | Staphylococcus simulans | Lysostaphin | [17] |
5NMY | P10547 | 7.2 | 1.6 | 15 | Staphylococcus simulans | Lysostaphin | [28] |
2MK5 | D6QY02 | 6.9 | 1.9 | 10 | Staphylococcus phage G15 | Endolysin, LysGH15 | [29] |
3H41 | Q736M3 | 6.7 | 5.0 | 13 | Bacillus cereus | NlpC/P60 family, YkfC | [22] |
Among the listed structures, 5LEO [12] and 6RK4/6RJE [17] represent S. simulans lysostaphin SH3b complexed with pentaglycine cross-bridge peptide (G5) and a tetrapeptide stem with the pentaglycine cross bridge as a lateral chain (AγQK[GGGGG]A; P4–G5; K5T), respectively. The CpAcp SH3b6 structure was superimposed with 5LEO and 6RJE to compare the ligand-binding pockets (Figure 5A). In both 5LEO and 6RJE, lysostaphin SH3b utilizes a binding site for G5 that was not detected in CpAcp SH3b6, indicating that CpAcp SH3b6 has a different binding model for G5. On the other hand, in 6RJE, lysostaphin SH3b utilizes a second binding site for the tetrapeptide stem (AγQKA), which is partly overlapped with the P1 pocket of CpAcp SH3b6. In particular, the pocket residues of lysostaphin SH3b for tetrapeptide stem show similar conformation and nonpolar/polar property with the P1 pocket residues of CpAcp SH3b6 (Figure 5B), supporting the peptide-binding potential of P1. In addition, a (4S)-2-methyl-2,4-pentanediol (MPD) molecule was found to bind to a third site of lysostaphin SH3b corresponding to the P3 pocket of CpAcp SH3b6. However, the structures for this region between lysostaphin SH3b and CpAcp SH3b6 are quite different, implying that CpAcp SH3b6 P3 may bind to a different small molecule. Taken together, the P1 pocket of CpAcp SH3b6 can be expected to serve as a binding pocket for peptide ligand.
2.5. Docking of CpAcp SH3b6 with P4-G5 Peptide
In order to support the speculation that P1 pocket of CpAcp SH3b6 can bind with peptide ligand, the peptide P4-G5 (K5T) that represents a repeat unit in cell wall peptidoglycan was used to dock with CpAcp SH3b6 structure. The result showed that the G1–G5, K3, and A4 residues of P4-G5 were docked to the P1 pocket of SH3b6, while A1 and Q2 were bound to a region next to P1 (Figure 6A). P4-G5 adopted an arc conformation extending along the surface of SH3b6, with A4 inserting in a cavity (Figure 6B). Twelve residues of SH3b6 were involved in interaction with P4-G5 (Figure 6C).
The interaction interface can be generally divided into three regions: G1–G3 residues were bound by A486, S487, T488, and F511 (Figure 6D); G5, K3, and A4 were bound by S479, L480, N481, and Y527 (Figure 6E); A1 and Q2 were bound by R483, S489, S490, and V492 (Figure 6F). L480, T488, V492, F511, and Y527 conferred hydrophobic interactions with the peptide backbone. Six hydrogen bonds were found between residue pairs including G1-A486, G5-Y527, A4-Y527, A4-N481, Q2-R483, and A1-S489. Importantly, side-chains of R483 and Y527 were involved in forming hydrogen bonds, suggesting that the two residues may be related to recognition specificity. The docking result strongly supports the hypothesis that the P1-pocket-involved region of SH3b6 can function in peptide ligand binding, and implies a novel binding model different from the known model of lysostaphin SH3b (Figure 5A).
2.6. Structure Simulation of CpAcp SH3b1/2/3/10
The determination of CpAcp SH3b6 domain structure encouraged us to predict the structures of the other nine SH3b domains. Before doing this, sequence identity and similarity of the 10 SH3b domains were analyzed (Figure 7A). The result showed that the sequences of SH3b4/5/7/8/9 are highly similar (over 95%) to SH3b6. SH3b3/10 show moderate similarity (64.1% and 62.5%), while SH3b1/2 display low similarity (35.9% and 37.5%) to SH3b6. SH3b1/2 have moderate sequence identity and similarity of 20.3% and 53.1% to each other.
Subsequently, the structures of the nine CpAcp SH3bs were simulated with the I-TASSER [30] server. The resulted structures of SH3b4/5/7/8/9 were identical to the SH3b6 structure, and thus are not shown. The predicted SH3b1/2/3/10 structures were also very similar to SH3b6 structure (Figure 7B). Differences in secondary structure element were mainly found for β4 and β7. β4 is longer in SH3b3/10 compared to SH3b6, while is separated into two strands in SH3b1/2. β7 is shorter in SH3b1/2/3 than SH3b6. Generally, the 10 SH3b structures of CpAcp are very similar.
Based on the structure models, the potential pockets of SH3b1/2/3/10 were analyzed. Similar location of P1 and P2 pockets to SH3b6 were found for all four SH3bs, although the size and morphology varied a lot (Figure 8A and Table 4). SH3b3/10 showed a similar P3 pocket location to SH3b6. However, SH3b1/2 did not have a similar P3 pocket with SH3b6. Instead, they showed a pocket at the location similar to that found in lysostaphin SH3b for binding with G5. Four pockets were identified for lysostaphin SH3b (Pa-Pd), previously [12]. Pa (volume 273.0 Å3) is for binding to pentaglycine, Pb (194.1 Å3) for MPD, and Pc (158.3 Å3) for tetrapeptide stem. P1 of CpAcp SH3b1/2 corresponds to Pc of lysostaphin SH3b in location, while P3 corresponds to Pa. However, the sizes of these pockets are not consistent. In particular, the secondary elements and residues involved in CpAcp SH3b1/2 P3 formation vary a lot compared to lysostaphin SH3b Pa. Thus, the function of P3 of SH3b1/2 remains ambiguous.
Table 4.
No. | SH3b6 | SH3b1 | SH3b2 | SH3b3 | SH3b10 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 1 | 2 | 3 | 1 | 2 | 3 | 1 | 2 | 3 | 1 | 2 | 3 | |
Volume (Å3) | 317.4 | 210.8 | 125.3 | 204.7 | 102.5 | 166.1 | 147.6 | 121.9 | 167.9 | 208.6 | 142.1 | 116.2 | 160.5 | 180.7 | 135.2 |
Surface (Å2) | 738.9 | 372.2 | 372.6 | 387.6 | 231.6 | 296.2 | 322.6 | 309.9 | 440.5 | 376.5 | 312.4 | 362.3 | 321.3 | 361.9 | 320.9 |
The differently engaged residues of the pockets of SH3b1/2/3/6/10 should contribute to the varied location and morphology of the pockets (Figure 8B). In common, the residues in β1-β2 loop, β2, β2-β3 loop, β6, and β6-β7 loop formed P1 pockets, while those in β3, β3-β4 loop, β4, and β5 formed P2 pockets for all five structures. Eight conserved residues were found to be involved in forming P1 and P2 pockets for all five structures (Figure 8B, asterisk labeled). Therein, the five residues in P1 have been highlighted in comparison with lysostaphin SH3b in Figure 5B (underlined), and showed contacts with P4-G5 peptide in the complex model (Figure 6). However, residues in β3 were also involved in P1 of SH3b1/2, instead of the residue in β5 of SH3b3/6/10 P1, suggesting a slight difference. Moreover, the residues in β1, β4, and β7 formed P3 of SH3b3/6/10, and those in β2-β3 loop, β3, β4, β5, and β6 formed P3 of SH3b1/2, indicating a significantly different P3 composition. Taken together, SH3b3-10 should have a similar ligand-binding capacity, while SH3b1/2 may have a different specificity and additional binding site for ligand. As an entirety, 10 SH3bs of CpAcp were expected to cooperatively target complex cell wall compositions and achieve binding ability to extensive sites. Meanwhile, considering the similar ligand-binding ability of SH3b3-10 and the disordered/flexible interdomain linkers, we hypothesize that through dynamically alternating the SH3bs bound with the peptide bridge or stem, CpAcp can rapidly shift along peptidoglycan network surface like a “wiggling worm” for substrate cleaving.
3. Materials and Methods
3.1. Protein Expression and Purification
The coding gene of CpAcp/CPE1231 SH3b6 domain (E469-V535) was cloned into an NESG-modified pET21 expression vector including a C-terminal 6×His-tag (LEHHHHHH). The recombinant plasmid was transformed into Escherichia coli BL21 (DE3) cells for protein expression. U-13C, 15N (NC), and U-15N, 5% biosynthetically directed 13C (NC5) samples of SH3b6 were expressed and purified following a standard protocol described previously [32]. Briefly, the E. coli cells containing the above plasmid were grown in MJ minimal medium at 37 °C until induction with a final concentration of 0.5 mM isopropyl-β-d-thiogalactopyranoside (IPTG) at an OD600 of ~0.7, followed by culturing overnight at 20 °C for 16 h. The cells were harvested by centrifugation and lysed by sonication. The lysate was clarified by centrifugation at 20,000 rpm for 30 min and filtration. The supernatant was purified using the ÄKTAxpressTM chromatography system (GE Healthcare) with a Ni-affinity column (HisTrap IMAC HPTM column, 5 mL) followed by a gel filtration column (HiLoad 26/60 Superdex 75pg). The purified protein was concentrated to a final concentration of 1.0 mM for study in the NMR buffer containing 20 mM NH4OAc, 100 mM NaCl, 5 mM CaCl2, 10 mM DTT, 0.02% NaN3, and 90% H2O/10% D2O (v/v) at pH = 4.5.
3.2. Chemical Shift Assignments
All NMR experiments were carried out at 298 K on a Varian Inova 600 MHz spectrometer equipped with a 5 mm HCN cryogenic probe and a Bruker Avance III 850 MHz spectrometer equipped with a 5 mm HCN conventional room temperature probe. The collected NMR data included: 2D 1H-15N HSQC, 1H-13C HSQC, 3D HNCO, HN(CA)CO, HNCA, HN(CO)CA, HNCACB, CBCA(CO)NH, HBHA(CO)NH, H(CCO)NH, and C(CO)NH for backbone assignments, and 2D 1H-13C HSQC (aliphatic and aromatic), 3D H(C)CH-TOCSY, H(C)CH-COSY, (H)CCH-TOCSY, and 4D CC NOESY for side chain assignments. The stereospecific assignments of isopropyl methyl groups of Val and Leu residues were determined from 2D constant-time 1H-13C HSQC spectrum for the NC5 sample [33]. The data were processed using the NMRPipe [34] and analyzed with the Sparky program [35]. The backbone and side-chain resonances were automatically assigned using the PINE server from NMRFAM [36], and subsequently validated and corrected manually. All assignments were further confirmed from NOESY spectra, including 3D 15N-edited NOESY-HSQC and 13C-edited NOESY-HSQC. Chemical shift assignments have been deposited in the BioMagResBank (BMRB accession number 16688).
3.3. NMR Structure Calculation
NOE-based interproton distance constraints were determined automatically for CpAcp SH3b6 using CYANA 3.0 [37]. Chemical shift assignments, NOESY peak lists from four NOESY spectra with peak intensities, and the constraints for backbone phi (ϕ) and psi (ψ) torsion angle derived from chemical shifts of backbone atoms using the TALOS+ software program [38] were used as input for CYANA 3.0. Manual and iterative refinement of the NOESY peak selection list was performed using RPF NMR quality assessment to calculate the “fit” between the structure and the NOESY peak list [39]. During the iterations near the end of the structure calculations, hydrogen bonding constraints on NH and CO distances were introduced based on the proximity of potential donors and acceptors identified in the initial structure. Through the explicit hydrodynamic fields of CNS 1.2 and PARAM19, 20 of the 100 structures calculated in CYANA 3.0 were refined with minimal energy using NOE-derived final distance constraints, hydrogen bond constraints, and TALOS-derived dihedral angle constraints. The final NMR ensemble of 20 structures and all restraints used in the structure calculations have been deposited in the Protein Data Bank (PDB ID 2KT8). Structural statistics and overall structural quality factors were calculated using PSVS [40] version 1.4 (Table 1).
3.4. Structure Modeling
The structure models of SH3b1/2/3/4/5/7/8/9/10 were built through de novo homology modeling using I-TASSER (http://zhanglab.ccmb.med.umich.edu/I-TASSER/) that first identifies structural templates from the PDB by the multiple threading approach, LOMETS, with atomic models constructed by iterative template-based fragment assembly simulations. The sequence of individual SH3b was entered into I-TASSER as input and then I-TASSER was run to simulate the structures. The details and descriptions can be referred to the manual. The first model (with the highest score) from resulting models for each input SH3b was chosen for further analysis.
The complex model of P4-G5 (K5T) and CpAcp SH3b6 was simulated by HDOCK [41], a protein-protein docking based on a hybrid algorithm of template-based modeling and ab initio free docking (http://hdock.phys.hust.edu.cn/). The PDB file of K5T (download from PDB database) and PDB ID of SH3b6 (2KT8) were respectively used as receptor and ligand and inputted into the HDOCK server guided by the manual. The resulting docking model of K5T and SH3b6 with the highest score (the top model) was chosen as the complex to be analyzed in this study.
4. Conclusions
Through NMR structure determination, molecular docking, homologous modeling, and a series of bioinformatic analysis, the structure and function of CpAcp CWB module consisting of 10 SH3bs were investigated preliminarily in this study. The NMR structure of CpAcp SH3b6 was determined to adopt a β-barrel fold with seven β-strands, similar to its SH3b homologues. Potential ligand-binding pocket analysis identified three pockets of CpAcp SH3b6, among which P1 with the largest size and eight conserved residues may function in binding to P4-G5 peptide in a novel model, while P2 and P3 with much smaller size and variable residues may bind with small molecules. In the CWB module, SH3b3-10 have similar structures and therefore similar potential ligand-binding pockets like SH3b6, while SH3b1/2 have similar structures but different P3 pockets from SH3b6, which is surprisingly comparable to the pocket of lysostaphin SH3b for pentaglycine cross bridge. Thus, SH3b3-10 should have similar ligand-binding ability, while SH3b1/2 may have different specificity and an additional binding site for ligand. Facilitated by the flexible interdomain linkers, the 10 SH3bs can together anchor CpAcp to the cell wall network, and provide an extensive binding specificity for different cell wall sites and structurally dynamic binding to move along the peptidoglycan network for target searching. This study presents a first insight into the structure and potential function of CpAcp SH3bs, will guide the further experimental investigation on the binding of CpAcp to cell wall compositions, and thereby facilitate the comprehensive understanding of the function mechanism of CpAcp and even peptidoglycan hydrolases, which will help to develop new antibiotics for combating multidrug-resistant bacteria.
Acknowledgments
We thank the scientists in the Rutgers University Protein Production Facility and Northeast Structural Genomics Consortium (NESG) for assistance in NMR sample preparation and structure determination.
Author Contributions
Conceptualization, J.Z. and Y.Y.; methodology, X.H., J.Z. and Y.Y.; validation, Y.S., X.H. and Y.Y.; formal analysis, X.H., Z.W. and Y.Y.; investigation, Y.S., X.H. and Y.Y.; data curation, Y.S., X.H., J.Z. and Y.Y.; writing—original draft preparation, Y.S., X.H. and J.Z.; writing—review and editing, J.Z. and Y.Y.; visualization, X.H. and J.Z.; supervision, X.Y., Y.Y. and M.L.; project administration, X.Y. and J.Z.; funding acquisition, Y.Y. and M.L. All authors have read and agreed to the published version of the manuscript.
Funding
This research was supported by funds from the National Natural Science Foundation of China (Grant Number: 21991082, 21735007, 21921004, and 22074152).
Data Availability Statement
Data supporting the reported results will be available from the corresponding author (Jiang Zhu).
Conflicts of Interest
The authors declare no conflict of interest.
Sample Availability
Samples of the compounds are not available from the authors.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Vollmer W., Blanot D., de Pedro M.A. Peptidoglycan structure and architecture. FEMS Microbiol. Rev. 2008;32:149–167. doi: 10.1111/j.1574-6976.2007.00094.x. [DOI] [PubMed] [Google Scholar]
- 2.Typas A., Banzhaf M., Gross C.A., Vollmer W. From the regulation of peptidoglycan synthesis to bacterial growth and morphology. Nat. Rev. Microbiol. 2011;10:123–136. doi: 10.1038/nrmicro2677. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Szweda P., Schielmann M., Kotlowski R., Gorczyca G., Zalewska M., Milewski S. Peptidoglycan hydrolases-potential weapons against Staphylococcus aureus. Appl. Microbiol. Biotechnol. 2012;96:1157–1174. doi: 10.1007/s00253-012-4484-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Bhagwat A., Mixon M., Collins C.H., Dordick J.S. Opportunities for broadening the application of cell wall lytic enzymes. Appl. Microbiol. Biotechnol. 2020;104:9019–9040. doi: 10.1007/s00253-020-10862-y. [DOI] [PubMed] [Google Scholar]
- 5.Love M.J., Bhandari D., Dobson R.C.J., Billington C. Potential for bacteriophage endolysins to supplement or replace antibiotics in food production and clinical care. Antibiotics Basel. 2018;7:17. doi: 10.3390/antibiotics7010017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Miyamoto K., Nagahama M. Clostridium: Food poisoning by Clostridium perfringens. In: Caballero B., Finglas P.M., Toldrá F., editors. Encyclopedia of Food and Health. Academic Press; Oxford, UK: 2016. pp. 149–154. [Google Scholar]
- 7.Camiade E., Peltier J., Bourgeois I., Couture-Tosi E., Courtin P., Antunes A., Chapot-Chartier M.P., Dupuy B., Pons J.L. Characterization of Acp, a peptidoglycan hydrolase of Clostridium perfringens with N-acetylglucosaminidase activity that is implicated in cell separation and stress-induced autolysis. J. Bacteriol. 2010;192:2373–2384. doi: 10.1128/JB.01546-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Tamai E., Sekiya H., Goda E., Makihata N., Maki J., Yoshida H., Kamitori S. Structural and biochemical characterization of the Clostridium perfringens autolysin catalytic domain. FEBS Lett. 2017;591:231–239. doi: 10.1002/1873-3468.12515. [DOI] [PubMed] [Google Scholar]
- 9.Grundling A., Schneewind O. Cross-linked peptidoglycan mediates lysostaphin binding to the cell wall envelope of Staphylococcus aureus. J. Bacteriol. 2006;188:2463–2472. doi: 10.1128/JB.188.7.2463-2472.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Lu J.Z.Q., Fujiwara T., Komatsuzawa H., Sugai M., Sakon J. Cell wall-targeting domain of glycylglycine endopeptidase distinguishes among peptidoglycan cross-bridges. J. Biol. Chem. 2006;281:549–558. doi: 10.1074/jbc.M509691200. [DOI] [PubMed] [Google Scholar]
- 11.Osipovitch D.C., Griswold K.E. Fusion with a cell wall binding domain renders autolysin LytM a potent anti-Staphylococcus aureus agent. FEMS Microbiol. Lett. 2015;362:1–7. doi: 10.1093/femsle/fnu035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Mitkowski P., Jagielska E., Nowak E., Bujnicki J.M., Stefaniak F., Niedzialek D., Bochtler M., Sabala I. Structural bases of peptidoglycan recognition by lysostaphin SH3b domain. Sci. Rep.-UK. 2019;9:5965. doi: 10.1038/s41598-019-42435-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Zoll S., Schlag M., Shkumatov A.V., Rautenberg M., Svergun D.I., Gotz F., Stehle T. Ligand-binding properties and conformational dynamics of autolysin repeat domains in Staphylococcal cell wall recognition. J. Bacteriol. 2012;194:3789–3802. doi: 10.1128/JB.00331-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Bai X.H., Chen H.J., Jiang Y.L., Wen Z.S., Huang Y.B., Cheng W., Li Q., Qi L., Zhang J.R., Chen Y.X., et al. Structure of Pneumococcal peptidoglycan hydrolase LytB reveals insights into the bacterial cell wall remodeling and pathogenesis. J. Biol. Chem. 2014;289:23403–23416. doi: 10.1074/jbc.M114.579714. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Saksela K., Permi P. SH3 domain ligand binding: What’s the consensus and where’s the specificity? FEBS Lett. 2012;586:2609–2614. doi: 10.1016/j.febslet.2012.04.042. [DOI] [PubMed] [Google Scholar]
- 16.Ponting C.P., Aravind L., Schultz J., Bork P., Koonin E.V. Eukaryotic signalling domain homologues in archaea and bacteria. Ancient ancestry and horizontal gene transfer. J. Mol. Biol. 1999;289:729–745. doi: 10.1006/jmbi.1999.2827. [DOI] [PubMed] [Google Scholar]
- 17.Gonzalez-Delgado L.S., Walters-Morgan H., Salamaga B., Robertson A.J., Hounslow A.M., Jagielska E., Sabala I., Williamson M.P., Lovering A.L., Mesnage S. Two-site recognition of Staphylococcus aureus peptidoglycan by lysostaphin SH3b. Nat. Chem. Biol. 2020;16:24–30. doi: 10.1038/s41589-019-0393-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Ishida T., Kinoshita K. PrDOS: Prediction of disordered protein regions from amino acid sequence. Nucleic Acids Res. 2007;35:W460–W464. doi: 10.1093/nar/gkm363. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Zhu W.K., Li Y., Liu M.L., Zhu J., Yang Y.H. Uncorrelated effect of interdomain contact on Pin1 isomerase activity reveals positive catalytic cooperativity. J. Phys. Chem. Lett. 2019;10:1272–1278. doi: 10.1021/acs.jpclett.9b00052. [DOI] [PubMed] [Google Scholar]
- 20.Ashkenazy H., Abadi S., Martz E., Chay O., Mayrose I., Pupko T., Ben-Tal N. ConSurf 2016: An improved methodology to estimate and visualize evolutionary conservation in macromolecules. Nucleic Acids Res. 2016;44:W344–W350. doi: 10.1093/nar/gkw408. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Tamai E., Yoshida H., Sekiya H., Nariya H., Miyata S., Okabe A., Kuwahara T., Maki J., Kamitori S. X-ray structure of a novel endolysin encoded by episomal phage phiSM101 of Clostridium perfringens. Mol. Microbiol. 2014;92:326–337. doi: 10.1111/mmi.12559. [DOI] [PubMed] [Google Scholar]
- 22.Xu Q.P., Abdubek P., Astakhova T., Axelrod H.L., Bakolitsa C., Cai X.H., Carlton D., Chen C., Chiu H.J., Chiu M., et al. Structure of the gamma-D-glutamyl-L-diamino acid endopeptidase YkfC from Bacillus cereus in complex with L-Ala-gamma-D-Glu: Insights into substrate recognition by NlpC/P60 cysteine peptidases. Acta Crystallogr. F. 2010;66:1354–1364. doi: 10.1107/S1744309110021214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Lee K.O., Kong M., Kim I., Bai J., Cha S., Kim B., Ryu K.S., Ryu S., Suh J.Y. Structural basis for cell-wall recognition by bacteriophage PBC5 endolysin. Structure. 2019;27:1355–1365. doi: 10.1016/j.str.2019.07.001. [DOI] [PubMed] [Google Scholar]
- 24.Volkamer A., Kuhn D., Rippmann F., Rarey M. DoGSiteScorer: A web server for automatic binding site prediction, analysis and druggability assessment. Bioinformatics. 2012;28:2074–2075. doi: 10.1093/bioinformatics/bts310. [DOI] [PubMed] [Google Scholar]
- 25.Holm L., Laakso L.M. Dali server update. Nucleic Acids Res. 2016;44:W351–W355. doi: 10.1093/nar/gkw357. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Xu Q.P., Mengin-Lecreulx D., Liu X.Q.W., Patin D., Farr C.L., Grant J.C., Chiu H.J., Jaroszewski L., Knuth M.W., Godzik A., et al. Insights into substrate specificity of NlpC/P60 cell wall hydrolases containing bacterial SH3 domains. mBio. 2015;6:e02327–e14. doi: 10.1128/mBio.02327-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Pinheiro J., Biboy J., Vollmer W., Hirt R.P., Keown J.R., Artuyants A., Black M.M., Goldstone D.C., Simoes-Barbosa A. The protozoan Trichomonas vaginalis targets bacteria with laterally acquired NlpC/P60 peptidoglycan hydrolases. mBio. 2018;9:e01784-18. doi: 10.1128/mBio.01784-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Tossavainen H., Raulinaitis V., Kauppinen L., Pentikainen U., Maaheimo H., Permi P. Structural and functional insights into lysostaphin-substrate interaction. Front. Mol. Biosci. 2018;5:60. doi: 10.3389/fmolb.2018.00060. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Gu J.M., Feng Y.G., Feng X., Sun C.J., Lei L.C., Ding W., Niu F.F., Jiao L.Y., Yang M., Li Y., et al. Structural and biochemical characterization reveals LysGH15 as an unprecedented “EF-Hand-Like” calcium-binding phage lysin. PLoS Pathog. 2014;10:e1004109. doi: 10.1371/journal.ppat.1004109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Yang J.Y., Zhang Y. I-TASSER server: New development for protein structure and function predictions. Nucleic Acids Res. 2015;43:W174–W181. doi: 10.1093/nar/gkv342. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Robert X., Gouet P. Deciphering key features in protein structures with the new ENDscript server. Nucleic Acids Res. 2014;42:W320–W324. doi: 10.1093/nar/gku316. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Xiao R., Anderson S., Aramini J., Belote R., Buchwald W.A., Ciccosanti C., Conover K., Everett J.K., Hamilton K., Huang Y.J., et al. The high-throughput protein sample production platform of the Northeast Structural Genomics Consortium. J. Struct. Biol. 2010;172:21–33. doi: 10.1016/j.jsb.2010.07.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Neri D., Szyperski T., Otting G., Senn H., Wuthrich K. Stereospecific nuclear magnetic-resonance assignments of the methyl-groups of valine and leucine in the DNA-binding domain of the 434-repressor by biosynthetically directed fractional C-13 labeling. Biochemistry. 1989;28:7510–7516. doi: 10.1021/bi00445a003. [DOI] [PubMed] [Google Scholar]
- 34.Delaglio F., Grzesiek S., Vuister G.W., Zhu G., Pfeifer J., Bax A. NMRPipe—A multidimensional spectral processing system based on UNIX pipes. J. Biomol. NMR. 1995;6:277–293. doi: 10.1007/BF00197809. [DOI] [PubMed] [Google Scholar]
- 35.Lee W., Tonelli M., Markley J.L. NMRFAM-SPARKY: Enhanced software for biomolecular NMR spectroscopy. Bioinformatics. 2015;31:1325–1327. doi: 10.1093/bioinformatics/btu830. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Bahrami A., Assadi A.H., Markley J.L., Eghbalnia H.R. Probabilistic interaction network of evidence algorithm and its application to complete labeling of peak lists from protein NMR spectroscopy. Plos Comput. Biol. 2009;5:e1000307. doi: 10.1371/journal.pcbi.1000307. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Guntert P., Buchner L. Combined automated NOE assignment and structure calculation with CYANA. J. Biomol. NMR. 2015;62:453–471. doi: 10.1007/s10858-015-9924-9. [DOI] [PubMed] [Google Scholar]
- 38.Shen Y., Delaglio F., Cornilescu G., Bax A. TALOS plus: A hybrid method for predicting protein backbone torsion angles from NMR chemical shifts. J. Biomol. NMR. 2009;44:213–223. doi: 10.1007/s10858-009-9333-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Huang Y.J., Powers R., Montelione G.T. Protein NMR recall, precision, and F-measure scores (RPF scores): Structure quality assessment measures based on information retrieval statistics. J. Am. Chem. Soc. 2005;127:1665–1674. doi: 10.1021/ja047109h. [DOI] [PubMed] [Google Scholar]
- 40.Bhattacharya A., Tejero R., Montelione G.T. Evaluating protein structures determined by structural genomics consortia. Proteins. 2007;66:778–795. doi: 10.1002/prot.21165. [DOI] [PubMed] [Google Scholar]
- 41.Yan Y.M., Zhang D., Zhou P., Li B.T., Huang S.Y. HDOCK: A web server for protein-protein and protein-DNA/RNA docking based on a hybrid strategy. Nucleic Acids Res. 2017;45:W365–W373. doi: 10.1093/nar/gkx407. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data supporting the reported results will be available from the corresponding author (Jiang Zhu).