Skip to main content

Thank you for visiting You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Deciphering how Cpl-7 cell wall-binding repeats recognize the bacterial peptidoglycan


Endolysins, the cell wall lytic enzymes encoded by bacteriophages to release the phage progeny, are among the top alternatives to fight against multiresistant pathogenic bacteria; one of the current biggest challenges to global health. Their narrow range of susceptible bacteria relies, primarily, on targeting specific cell-wall receptors through specialized modules. The cell wall-binding domain of Cpl-7 endolysin, made of three CW_7 repeats, accounts for its extended-range of substrates. Using as model system the cell wall-binding domain of Cpl-7, here we describe the molecular basis for the bacterial cell wall recognition by the CW_7 motif, which is widely represented in sequences of cell wall hydrolases. We report the crystal and solution structure of the full-length domain, identify N-acetyl-D-glucosaminyl-(β1,4)-N-acetylmuramyl-L-alanyl-D-isoglutamine (GMDP) as the peptidoglycan (PG) target recognized by the CW_7 motifs, and characterize feasible GMDP-CW_7 contacts. Our data suggest that Cpl-7 cell wall-binding domain might simultaneously bind to three PG chains, and also highlight the potential use of CW_7-containing lysins as novel anti-infectives.


Antibiotic-resistant bacteria are especially promiscuous and constitute an increasing source of healthcare and economic concerns. Repeated warnings raised on the possibility of a post-antibiotic era have emphasized the need of developing new treatments to ensure a sustainable control of many diseases, whose causal agents include human and animal pathogens as well as food spoilage bacteria. Lysins, the cell wall lytic enzymes encoded by bacteriophages (endolysins) or bacteria (autolysins), have attracted much attention because of their ability to break-down the cell wall of target bacteria when added exogenously (lysis-from-without)1,2. This novel class of antibacterials has important advantages over classical antibiotics, e.g., a novel mode of action; a narrow spectrum of susceptible bacteria; rapid killing of both stationary- and exponentially-growing bacteria; activity on mucous membranes and bacterial biofilms; low probability of developing resistances; and reduced impact on normal microbiota3,4,5. These unique features have boosted the interest on the biotechnological and pharmacological exploitation of lysins1,6,7,8 and their recent inclusion among the top ten current alternatives to fight antibiotic resistances9.

Lysins from Gram-positive bacteria and their phages usually comprise at least one catalytic domain and one or more cell wall-binding domains5,6,10,11,12. In contrast, many lysins produced by Gram-negative species or their phages only contain the catalytic domain5,12, though modular endolysins have also been reported13,14,15. The catalytic units dictate the type of peptidoglycan (PG) bond to be cleaved, whereas the cell wall-binding domain(s) largely determines the lytic spectrum by specific recognition of cell wall elements distributed in genus-, or species/strain-specific manner5,10,12. Other factors helping to define bacterial susceptibility are the net charge of lysin domains, the fine architecture of the bacterial envelope and the overall three-dimensional structure of the lysin16,17,18.

The Cpl-7 endolysin encoded by the pneumococcal Cp-7 bacteriophage comprises a catalytic domain with muramidase activity and a cell wall-binding domain made up of three almost identical repeats (CW_7 repeats hereafter) (Fig. 1a). Because of CW_7 repeats, Cpl-7 can hydrolyze pneumococcal cell walls containing either choline or ethanolamine19, and its lytic spectrum is extended to streptococcal (Streptococcus pneumoniae, Streptococcus pyogenes, Streptococcus mitis and Streptococcus dysgalactiae) and non-streptococcal pathogens (Enterococcus faecalis) compared with other pneumococcal lysins17,18. Moreover, in the presence of destabilizing agents of the outer membrane, Cpl-7 and its improved variant, Cpl-7S, can also kill Gram-negative bacteria17. Of note, CW_7 repeats are present in many putative cell wall hydrolases encoded by Gram-positive and Gram-negative bacteria as well as by (pro)phages of Gram-positive bacteria11,12 and they consist of 37–43 amino acids predicted to adopt a three-helix bundle fold11. To date, only two other CW_7 comprising enzymes have been biochemically characterized and their bacteriolytic activity demonstrated: the endolysins encoded by the λSa2 prophage of Streptococcus agalactiae strain 2603 v/r20 and by the SMP bacteriophage of Streptococcus suis 21. However, the variety of organisms coding for CW_7-containing proteins strongly suggest that CW_7 repeats would likely target a conserved element of the bacterial cell wall.

Figure 1
figure 1

Module composition of Cpl-7 endolysin, deletion constructs and contribution of CW_7 repeats to the murolytic activity. (a) Cartoon representation of Cpl-7 variants used in this study. Numbers indicate residues comprised in each structural element. The catalytic domain, in green, belongs to the GH-25 family. The cell wall-binding domain comprises three almost identical CW_7 repeats of 42 residues (R1, R2 and R3; sequence alignment is shown at the bottom) connected by six-residue-long inter-repeat linkers (AREIAD). The residues substituted by alanine in C-Cpl-7R, C-Cpl-7Q and C-Cpl-7I mutants are highlighted in grey, red and cyan, respectively. (b) Variation of the percentage of specific activity on pneumococcal cell walls with serial deletion of the CW_7 repeats from Cpl-7 sequence. Full-length Cpl-7 specific activity was taken as 100%. Data are the average of three independent assays of four-to-six replicas each; bars indicated standard deviations.

Here, we have employed a multidisciplinary approach to positively identify the element of the bacterial cell wall recognized by the CW_7 repeats and to outline the lysin/cell-wall interactions mediated by them, using as a model the multimodular cell wall binding domain of Cpl-7 (C-Cpl-7). By means of saturation transfer difference NMR spectroscopy (STD-NMR) we have demonstrated that GMDP is recognized as a ligand by the CW_7 repeats, and the binding epitope of this fragment of the PG monomer has been identified. The crystal structure of one single repeat and the complete C-Cpl-7 domain have been elucidated and the latter compared with the domain structure in solution, which was investigated by small angle X-ray scattering (SAXS). Moreover, a docking model of the C-Cpl-7 domain in complex with GMDP consistent with the STD-NMR mapping and mutational studies is proposed. In addition, we have explored how the number of repeats and their sequence variability might affect lysin activity and specificity. Taken together, our results shed light on the fine interactions established between key amino acid residues of CW_7 repeats and the building blocks of the PG, providing a rational for the use of this cell wall-binding motif in lysin design and applications.


CW_7 motifs in nature

Analysis of protein data bases (Interpro IPR013168 and Pfam PF08230 accession codes) showed that CW_7 motifs are present in a great variety of bacterial genes (455; last accession date 8 May, 2017), organized in highly different non-redundant architectures (Fig. 2). Functional domains carried by most of them suggest their implication in cell wall metabolism or bacterial lysis. The majority of the bacterial species belong to the Actinobacteria (127) and Firmicutes (293) phila, with predominance of Actinomycetaceae (30) and Bifidobacteriaceae (67) families in Actinobacteria, and of Streptococcaceae (88) and Lachnospiraceae (55) in Firmicutes ( Most of them are normal components of human and cattle epithelial microbioma, although beneficial and pathogenic species are also present, as well as opportunistic pathogens. The catalytic domains of the most frequent architectures belong to families GH25, Amidase_2, Lysozyme like domain (IPR023346), and to Amidase_5 in combination with glucosaminidase GH73 (Fig. 2). Allocation of respective architectures to bacterial species made evident their uneven distribution between Eubacteria and Firmicutes phyla (Supplementary Fig. S1). So, the Amidase_5-(CW_7)1/2-GH73 architectures appear only in streptococci, and the CW_7-Lysozyme like domain in lactococci. Besides, GH25-(CW_7)1/2 and GH25-(CW_7)2-LysM sequences are more frequent in Firmicutes than in Actinobacteria. Contrarily, the GH25-(CW_7)-LysM is favoured in Actinobacteria, and further acquisition of an extra LysM domain in GH25-(CW_7)-LysM2 reduced its presence to the Bifidobacterium genus. Additionally, Amidase_2-(CW_7) and Amidase_2-(CW_7)2 architectures predominate in Firmicutes or Actinobacteria, respectively. On the other hand, the CW_7 repeats from Firmicutes are generally three residues longer than those from Actinobacteria (Supplementary Figs S2 and S3). However, repeats of GH25-(CW_7)2-LysM and Amidase_5-(CW_7)2-GH73 architectures are almost all short, and those of GH25-(CW_7)2 long, independently of their origin. Long and short repeats coexist in a few Amidase_2-(CW_7)2 sequences (Supplementary Fig. S3a). In addition to this, comparison of the intra-repeat connecting linkers revealed the existence of common traits within specific architectures (like, for example, high proline content in Amidase_2-(CW_7)2/3 sequences but not in GH25-(CW_7)2/3). However, sequence and length may even differ between linkers connecting consecutive CW_7 repeats (Supplementary Fig. S3). Taken together, all these observations support the notion that, in addition to functional domains, evolutionary sequence variation has extended to the non-conserved regions of the linkers that, presumably, play some structural role as well.

Figure 2
figure 2

Schematic representation of protein architectures containing the CW_7 motif. The accession number of representative proteins and the respective coding bacterium are indicated. Figures in parenthesis are the number of sequences within each architecture. Comprised modules are colour coded and Pfam or INTERPRO accession codes are shown at the bottom.

Effect of Cpl-7 repeats on lytic activity

The high number of proteins putatively involved in cell wall metabolism carrying just one CW_7 motif strongly indicates that a single repeat may recognize its binding target on the bacterial surface, either alone or helped by other cell wall-binding domains. To test this hypothesis, DNA fragments encoding constructs comprising the catalytic module of Cpl-7 fused to the last (Cpl-7Δ2) or the two last (Cpl-7Δ1) CW_7 repeats (Fig. 1a; Supplementary Fig. S4) were cloned, and the truncated proteins overexpressed and purified. Ultracentrifugation experiments revealed a positive correlation between the sedimentation coefficient, or the Stokes’ radii, and the number of repeats in the constructs (Supplementary Table S1). Besides, the far- and near-UV circular dichroism (CD) spectra indicated that they were properly folded (Supplementary Fig. S5). When comparing their specific activities on purified pneumococcal cell walls with that of the separated catalytic domain (N-Cpl-7), an increase of three-to four orders of magnitude was found for Cpl-7Δ1 and Cpl-7Δ2 constructs. Notably, Cpl-7Δ1, with only two repeats, appeared to be even more active (≈ 40%) than the full-length enzyme (Fig. 1b).

Crystal structure of the CW_7 repeat and the full-length C-Cpl-7 domain

The three CW_7 repeats of Cpl-7 endolysin (R1, R2, and R3 hereafter), made of 42 amino acids each, are connected by six-residue-long linkers (Fig. 1a). Aiming to investigate the molecular mechanism underpinning their interaction with the bacterial cell wall, we undertook the crystallisation of the C-Cpl-7 domain. Crystals were first grown in 1.3 M trisodium citrate using the wild type domain (C-Cpl-7 wt) isolated from the LSLt-C-Cpl-7 fusion protein (see Methods). They diffracted at high-resolution (1.6 Å) and contained just one repeat (referred to as R2 hereafter) at the asymmetric unit (see Supplementary Methods). Solving the R2 three-dimensional structure de novo using ARCIMBOLDO 22 (Supplementary Fig. S6) showed that it is composed of a bundle of three α helices stabilised by hydrophobic interactions (Fig. 3). The first two helices (α4 and α5 in the full-length domain numbering), both nine residues long, are antiparallel, and the longer α6 helix (13 amino acids) lies in diagonal on the two other helices (Fig. 3a). The resultant bundle presents two faces, one formed by helices α4 and α5 (side α4α5) and the other by the helix α6 (side α6). The repeat contains a hydrophobic core centred around Leu275 (located in the middle of helix α5), which is surrounded by Val256 and Val260 (helix α4), Val285 (helix α6) and Tyr280 (α5–α6 connecting loop) (Fig. 3a). Several polar interactions contribute also to the bundle’s stability. A strong hydrogen bond is formed between Arg271 and Gln286 that maintains the close conformation of helix α6 and helix α5. A salt-bridge interaction is also observed between Lys288 and Glu291 (both in helix α6). Besides, aromatic residues are capping both sides of the repeat (Tyr280 and Trp265 cap the α4α5 side and Tyr272 the α6 side). Of note, the repeat presents a strong acidic character in both sides (Fig. 3b). There is no close structural homologue of the CW_7 repeat after a search in DALI server23.

Figure 3
figure 3

Crystal structure of the CW_7 repeat of Cpl-7. (a) Ribbon representation of the R2 repeat showing views of the side α4α5 (top) and the side α6 (bottom). Relevant residues are depicted as capped-sticks. A hydrophobic patch is observed at the core of the three-helix bundle. Hydrogen bonds and salt-bridge interactions are displayed with dot lines. (b) Poisson-Boltzmann electrostatic-potential surface (color bar range ± 5 kT/e) generated by PyMOL APBS tool79 for side α4α5 (top) and side α6 (bottom) of the R2 repeat.

In a further effort to solve the three-dimensional structure of the full-length domain, DNA fragments encoding C-Cpl-7 wt or a triple arginine-to-alanine mutant (C-Cpl-7R) at positions 223 (R1), 271(R2) and 319 (R3) (fully conserved in the sequences of the CW_7 family and likely involved in cell wall recognition; see below) were cloned and purified without the LSLt tag (see Methods). Crystals that diffracted up to 2.8 Å resolution were obtained only for C-Cpl-7R in 1.1 M trisodium citrate. The crystal structure of C-Cpl-7R was solved by the molecular replacement method using the 3D structure of R2 repeat as initial model. It showed a tightly closed and packed conformation (dimensions of 49 × 38 × 34 Å) of the three repeats that followed a pseudo-three-fold symmetry (Fig. 4a). In agreement with almost full conservation of the sequences of the repeats (Fig. 1), the three bundles present nearly identical structures (RMSD of 0.62 Å and 0.49 Å for Cα atoms of R2 and R3 over R1, respectively) with minor differences in the inter-repeat linkers (Fig. 4b). R1 has an N-terminal extension, due to the presence of the six last residues from the linker (see Supplementary Fig. S4), and slightly differs from R2 and R3 also in the structure of the loop that joins helices α1 and α2. In addition, the lack of the inter-repeat linker at the end of R3 shortens the helix α9 (Fig. 4b). The overall C-Cpl-7R structure is stabilized by polar and electrostatic contacts between consecutive repeats (Fig. 4c). The central interaction at the R1:R2 interface is a salt-bridge between Arg248 (R1-to-R2 loop) and Glu259 (R2) side chains. Other contacts of special relevance are the hydrogen bond established between Gln238 (R1) and the main chain of Leu264 (R2), and the cation-π interaction between Trp265 (R2) and Arg248 (R1). Similar interactions were observed at the R2:R3 interface (Fig. 4c). Once again, no significantly similar structures were found using the DALI server23 for the full-length domain.

Figure 4
figure 4

Structure of full-length C-Cpl-7R domain. (a) Crystal structure of C-Cpl-7R with repeats coloured in orange (R1), blue (R2) and yellow (R3). Comprised helices are labelled from α1 to α9. Bars indicate the side dimensions of the C-Cpl-7R triangular structure in angstroms. (b) Structural superimposition of the three repeats of C-Cpl-7R. (c) Interactions between repeats R1 and R2 repeats (top panel) and R2 and R3 repeats (bottom panel) coloured as in (a). Residues involved in inter-repeat interactions are depicted as sticks, and polar interactions as dotted lines. (d) Poisson-Boltzmann electrostatic-potential surface (color bar range ± 5 kT/e) generated by PyMOL APBS tool79 for the full-length C-Cpl-7R domain.

Superimposition of the R2 repeats from C-Cpl-7R and the wild type form showed highly similar structures (RMSD of 0.31 Å for Cα atoms; Supplementary Fig. S7a). The substitution of arginine 271 by alanine disrupts the cation-π interaction established with Tyr272, whose side chain rotates in C-Cpl7- R to make a hydrogen bond with Q286, thereby helping to maintain the close conformation of the two last helices found in the wild type repeat. The same happened in the other two repeats. The small impact of the arginine substitution in the repeat structure, together with its inner location and the substantial distance between it and the nearest interface/s between repeats, support the notion that C-Cpl-7R and C-Cpl-7 wt may adopt similar overall conformations. Indeed, the small differences found between their near-CD spectra would be accounted for the tyrosine rotation (Supplementary Fig. S7c), and neither the far-UV CD spectrum nor the domain stability were considerably affected by the triple mutation (Supplementary Fig. S7b,d). The same happened with their hydrodynamic parameters, based on the sedimentation coefficients (s 20,w), Stokes’ radii (R s) and frictional ratios (f/f o) determined by sedimentation velocity for C-Cpl-7 wt and C-Cpl-7R (Table 1). Therefore, our results also indicate that the full conservation of this arginine entails a functional role, rather than being essential for the bundle structure preservation.

Table 1 Hydrodynamic parameters of C-Cpl-7 wt and C-Cpl-7R determined by sedimentation velocity or SAXS compared with those calculated from the X-ray structure or the SAXS-derived models.

Determination of C-Cpl-7 conformation in solution by SAXS

The hydrodynamic parameters computed from the atomic coordinates of the overall domain were perceptibly different from those measured in PB buffer for either C-Cpl-7 wt or C-Cpl-7R (Table 1), using sedimentation velocity. Based on the s 20,w and R s values, the solution structure of both C-Cpl-7 variants appeared to be less compact than that of the crystal, suggesting that C-Cpl-7 conformation might depend on the surrounding medium. Thus, we performed SAXS experiments to determine the domain size and shape in solution. The experimental scattering profile largely departed from the SAXS spectrum calculated from the crystal atomic coordinates by CRYSOL24, and was consistent with that of a monomeric, non-globular particle (Fig. 5a and Table 1). Whereas the configuration in solution has a maximum intra-particle distance, D max, of 70 Å and a distance distribution function, P(r), with two maxima at 20 and 45 Å, the crystal structure has a D max of 51 Å and a bell-shaped P(r) function with a maximum at 17 Å. The ab initio reconstruction of the C-Cpl-7 envelope with DAMMIF25 resulted in a boomerang-shaped model (Fig. 5b) that was notably less compact than the crystal structure. The ab initio model superposed well onto the rigid-body model reconstructed with BUNCH26 (Fig. 5c), which moved and rotated the repeat crystal structures as rigid bodies, treating the intra-repeat linkers as chains of dummy residues, to get the best fit of the scattering profile. The R g, D max, and particle volume of the BUNCH model compared well with the corresponding SAXS estimates, and its hydrodynamic parameters (s 20,w, f/f 0 and R s) matched those measured by sedimentation velocity (Table 1).

Figure 5
figure 5

Determination of C-Cpl-7 configuration in solution by SAXS. (a) Overlay of the scattering curve of C-Cpl-7 wt at infinite dilution (black dots) with the scattering profile calculated from the full-length domain crystal structure using CRYSOL and the fit obtained by rigid-body modelling (BUNCH) (orange and grey traces, respectively). The inset shows the real-space distance-distribution functions P(r) for the configuration in solution (black trace) and the crystal structure (orange trace). (b) Ab initio bead model of C-Cpl-7 reconstructed from SAXS data using DAMMIF. (c) Superposition of the DAMMIF model in mesh representation with the best rigid model (cartoon) produced by BUNCH.

Additionally, the ensemble optimization method (EOM) analysis was employed for assessing the domain flexibility in solution using an initial random pool of 10,000 configurations27. As shown in Supplementary Fig. S8b, the ensemble of configurations selected by EOM was consistent with the presence of a single predominant conformation at the assayed conditions. Besides, the R g average value of the selected configurations agreed with the experimental one and those of DAMMIF and BUNCH models, thereby confirming that they did not represent an average of highly distinct (opened or highly packed) configurations of C-Cpl-7 in solution. Nonetheless, EOM analysis was indicative of a certain rotational mobility of the repeats, illustrated by the superimposition of the three more populated conformations selected by EOM (Supplementary Fig. S8b,c). Thus, our SAXS analysis further supported the notion that C-Cpl-7 may adopt different conformations under different conditions, such as those employed for the crystallisation (1.1 M tri-sodium citrate) or the solution studies (20 mM phosphate PB buffer).

Characterization of GMDP binding to C-Cpl-7 by STD-NMR

Thermal stabilization of C-Cpl-7 structure upon addition of GMDP28 prompted us to validate this analogue of the peptidoglycan monomer as binder of CW_7 repeats, and to map its binding epitope by using STD-NMR. This method is based on the transfer of magnetization from the protein, which is selectively irradiated by a train of radiofrequency pulses, to any binding ligand in fast exchange29. In small proteins like C-Cpl-7 (144 residues) magnetization transfer is less efficient, weakening STD effects, and, occasionally, different results are obtained from saturation of protons located in different protein regions30. Thus, STD experiments were performed irradiating either the aliphatic (-1 ppm) or the aromatic (7.7 ppm) regions of the protein. Conservation of domain native structure under NMR conditions was previously checked (see Methods and Supplementary Fig. S9).

Measurements carried out in the presence of C-Cpl-7 wt at the low ionic strength of solution studies (PB-D2O buffer) gave rise to STD-positive peaks (Fig. 6a–c), confirming GMDP binding. The signals were weak (less than 1.5% ligand intensities), as expected from the small protein size. STD spectra showed that the β anomer of GMDP (the one present in bacterial PG) was preferentially bound over the α anomer (1.3:1 ratio), and that GMDP interacts with C-Cpl-7 wt through the two saccharide units and the stem peptide. When the aliphatic groups were pulsed, the highest degree of saturation was observed on the signals of lactyl and N-acetyl methyl protons of MurNAc. However, upon irradiation of the aromatic signals, the strongest STD effects were seen at the signals of protons H6 of GlcNAc, H1 and H3 of MurNAc, and the N-acetyl methyl of MurNAc. The GMDP binding epitopes identified from each condition are summarized in Fig. 6d.

Figure 6
figure 6

Characterization of GMDP binding to C-Cpl-7 by STD-NMR in PB buffer. (a) 1H NMR spectrum of free GMDP as reference. Proton accounting for relevant peaks are marked as in Supplementary Table S2 where chemical shifts of 1H NMR spectra of GMDP α:β anomer mixture (2:1 ratio) in D2O are shown. (b) and (c) STD-NMR spectra of GMDP (2.5 mM) in the presence of C-Cpl-7 wt (33 μM) upon irradiation at the methyl or the aromatic region, respectively. The 2:1 ratio between the α and β anomers of free GMDP changes to 1.3:1 in STD spectra, unveiling the preferential binding of the β anomer. (d) GMDP binding epitopes as deduced from STD data upon irradiation at methyl (left) or aromatic (right) protein regions. Colour labels indicate the STD intensity (I) of each signal relative to the most intense signal observed. Red circles: 100% > I > 80%; orange: 80% > I > 60%; green: 60% > I > 40%; cyan: 40% > I > 20%; blue: 20% > I > 1%.

Further STD experiments were performed to investigate the effect of high salt concentration (to approach crystallisation conditions) on the domain binding capacity. In that setting (0.25 M sodium pyrophosphate, 1.5 M KCl, pD = 8.6), the STD signals of GMDP were extremely weak, and they were only detectable in the spectrum obtained from methyl irradiation (Supplementary Fig. S10). This result indicated that the muropeptide recognition could be largely mediated by electrostatic interactions or, alternatively, that the domain conformation and/or the binding site accessibility was ionic-strength dependent, which would be in line with the crystal structure and SAXS data.

Modelling of GMDP in complex with CW_7 repeats

Aiming to identify the binding locus of GMDP and the feasible interactions, the structure of the complex was modelled by docking of the ligand onto the crystal structure of R2, using STD data as a guide. A first, “blind docking”31,32 carried out with AutoDock4.2, using a grid box that comprised the whole surface of R2, showed that most of the GMDP molecules were docked at a shallow groove placed at the interface of helices α5 and α6, with helix 4 at the rear. None of them was at the opposite face of R2 (Supplementary Fig. S11a). Remarkably, the fully conserved Arg271 substituted by alanine in the crystallized C-Cpl-7R mutant was placed at the centre of this groove. Next, we used four different approaches (AutoDock4.2, CRDOCK, AutoDock Vina and Dock6.3) to dock GMDP onto the R2 structure using a grid box centered on the Nη2 atom of Arg271 side chain (see details in Methods and Supplementary information). The ligand showed very similar poses in the final solutions rendered by the four docking methods (Fig. 7a), with RMSDs of about 0.7 Å for the disaccharide atoms and 2.3 Å for the whole molecule; the more variable part being the D-isoGln residue (Fig. 7a, Supplementary Fig. S11). The N-acetyl group of the GlcNAc unit is more deeply docked into the binding site whereas the MurNAc moiety shows a shallower location with its pyranose ring parallel to the R2 surface. Feasible contacts are summarized in Supplementary Table S3. Notably, R2 residues inferred to be involved in GMDP recognition were well conserved in the four final models of the complex (Supplementary Fig. S11). The GlcNAc ring was hydrogen bonded through the hydroxyl groups at positions 3 (with Arg271 and Gln286) and 4 (with Gln286), and by the N-acetyl group (with Arg271 and Val260). Besides, the MurNAc unit could mediate hydrogen bonds through the hydroxyl at position 6 (with Asn267) and the carbonyl oxygen of the lactyl group (with Arg296 side chain), and the L-Ala moiety is hydrogen bonded with Ile261 main chain. Additionally, hydrophobic contacts could be formed by the methyls of the lactyl group and the acetamido moiety of GlcNAc (with Val260, Gly266, Val289 or Leu293), or by the methyl group of L-Ala (with Ile261 and Gln262).

Figure 7
figure 7

Structural model of the complex of GMDP with the R2 repeat of C-Cpl-7 wt based on docking analysis and STD-NMR data. (a) Stick representation of GMDP conformers in the best complex models obtained with AutoDock4.2 (green), CRDOCK (grey), AutoDock Vina (yellow), and DOCK6 (magenta). R2 surface is coloured in grey and protein residues irradiated during STD experiments are drawn as sticks (aromatics in blue and Leu275 in orange). (b) Ligplot80 representation of the hydrogen bonds and hydrophobic contacts in the R2:GMDP complex generated with AutoDock4.2, the one which agreed best with the GMDP epitope map derived from STD measurements. Overlapping circles show the STD epitope mapping using the colour code of Fig. 6.

The model with the fewest violations of the STD-mapping results was provided by AutoDock4.2 (Fig. 7b). The only unaccounted signals were the intense STD peaks due to the anomeric H1 proton (aromatic irradiation) and the acetamido group of the MurNAc unit (Fig. 6d), which were explained by none of the four docking models (Fig. 7; Supplementary Fig. S11). However, when the GMDP molecule was transferred, by superimposition of the GMDP:R2 complex structure, onto every repeat of the BUNCH model, a more complete picture of GMDP recognition by the full-length C-Cpl-7 domain was depicted (Fig. 8). This extended model would be compatible with a 1:3 stoichiometry for the C-Cpl-7/GMDP complex, as the binding-site of each repeat would be accessible to the ligand in the SAXS-derived solution structure. Furthermore, the MurNAc unit bound to either R1 or R2 repeats would be placed in the proximity of the following repeat, with the ring and the N-acetyl of MurNAc positioned at a suitable distance and orientation for the transfer of magnetization from the following repeat (R2 and R3, respectively), thereby explaining the previously unaccounted STD signals of MurNAc H1 and acetamide protons. Moreover, the model proposed for the full C-Cpl-7 domain would also explain the different intensity of STD signals obtained by irradiating either the aliphatic region or the aromatic region of the protein, as several aromatic residues of the contiguous repeat would be flanking the other side of GMDP, helping to shape the binding pocket.

Figure 8
figure 8

Model of C-Cpl-7 wt in complex with GMDP based on the BUNCH model generated from SAXS data and the three-fold transfer of the GMDP pose in the best docking model to R2 repeat. GMDP molecules are shown in solid surface (left panel) or in stick representation (right panel). A detail of the interface between R1 and R2 repeats is shown in the close-up. R2 likely contributes to shape the binding pocket of R1, thereby explaining the STD signals of the anomeric proton and the acetamido group of MurNAc, unaccounted for in the model of GMDP in complex with one isolated repeat. Protein residues relevant for the STD measurements observable in this view (Y224, Y280, W265 L227, L275) are shown in stick representation.

To asses the docking model of the complex, STD spectra were registered for the three C-Cpl-7 mutants (C-Cpl-7R, C-Cpl-7Q and C-Cpl-7I) in which one residue predicted to be involved in GMDP binding was substituted by alanine in the three repeats (Supplementary Fig. S4). The side chains of the amino acids mutated in C-Cpl-7R (Arg223, Arg217 and Arg319) and C-Cpl-7Q (Gln238, Gln286 and Gln334) were predicted to form hydrogen bonds with the GlcNAc moiety, whereas for C-Cpl-7I (Ile213Ala, Ile261 and Ile309) the hydrophobic contacts with the L-Ala would be altered. Figure 9a–d illustrates the intensity of the STD effects, normalized with respect of those obtained in the presence of C-Cpl-7 wt. The experiments performed in the presence of C-Cpl-7R, used also to solve of the overall domain structure, showed no STD response using aromatic irradiation. In addition, the intensities from the methyl side were extremely weak (~0.05–0.5 times lower than those obtained for the wt protein) and restricted to the methyl protons of L-Ala and the lactyl group, and the γγ’ protons of D-IsoGln (Fig. 9a). By using microarrays binding assays, the effect of C-Cpl-7R mutations on the binding of the domain to pneumococcal cell walls was also assayed, and a decrease of around 50% in the intensity of the binding signals was found in relation to C-Cpl-7 wt (Supplementary Fig. S7e,f). In the presence of C-Cpl-7Q, a notable reduction in the STD signals of the glycosidic protons was found from the methyl side (~0.05–0.7 times lower than for the wt protein), whereas those of the lactil moiety and the peptide stem were unchanged or slightly enhanced (Fig. 9b). Again, no STD response was found using aromatic irradiation. Finally, C-Cpl-7I mutations induced a generalized drop in the STD signals registered upon aromatic side irradiation (~0.05–0.5 times lower than for the C-Cpl-7 wt), except for the proton H3 of GlcNAc that remained practically unchanged (Fig. 9d). In contrast, the intensity of the signals was enhanced when the irradiation was performed from the methyl side (Fig. 9c).

Figure 9
figure 9

Contribution of the residues mutated in C-Cpl-7R, C-Cpl-7Q and C-Cpl-7I to the GMDP binding. Binding epitope of GMDP in the presence of (a) C-Cpl-7R (b) C-Cpl-7Q and (c) C-Cpl-7I upon irradiation at the methyl region. (d) STD-NMR spectrum and binding epitope in the presence of C-Cpl-7I upon irradiation at the aromatic region. The intensity ratio of the STD effect induced by C-Cpl-7R, C-Cpl-7Q and C-Cpl-7I with respect to that of C-Cpl-7 wt is indicated by colours: grey circles 0.2; blue: 0.1–0.5; magenta: 0.8–1.0; green: 1.3–1.7; orange: 2–3. Measurements were carried out in PB-D2O buffer at 2.5 mM GMDP and 50 μM mutant concentration.

Preservation of C-Cpl-7 wt native structure in C-Cpl-7R has been demonstrated above, and this also seems to be the case of C-Cpl-7Q, according to its CD and 1H NMR spectra, hydrodynamic features and thermal stability (Supplementary Figs 7b–d and S9 and Table S4). Therefore, the weakening of the contacts established between the glycanic part of GMDP and the binding surface of C-Cpl-7R or C-Cpl-7Q unveiled by the STD experiments would be coherent with the interactions predicted by the docking models. In contrast, the differences found between the near-UV CD spectra of C-Cpl-7I and C-Cpl-7 wt, covering all the bands of the spectrum, and a down-shift of 11.8 °C in the denaturation temperature of the mutant (Supplementary Fig. S7c,d, and Supplementary Table S4) suggested that substitution of alanine for isoleucine in C-Cpl-7I might have altered the bundle packing. In addition, differences were observed in the the 1H NMR spectra of C-Cpl-7I upon GMDP binding, suggesting an induced conformational change. All these facts make difficult the interpretation of STD results of this mutant in terms of binding. Because of the lower size of the alanine side chain and its location at the bottom of the binding locus, a variation in the local conformation of the binding site might have allowed a higher approximation of GMDP to the repeat surface, thereby explaining the increase of the STD signals when using the methyl irradiation.


Nowadays, antibiotic resistance is one of the biggest threats to global health, food security and development. Without urgent actions, we are heading for a post-antibiotic era in which common infections and minor injuries can once again kill. In this scenario, development of new anti-infectives that can be deployed against multi-drug resistant infections is paramount, and recombinant lysins appear as one of the ten best alternatives to conventional antibiotics9. Actually, the first commercial lysin (Staphefekt) is already on the market for topical treatment of skin infection by methicillin-resistant Staphylococcus aureus (MRSA) ( Despite the primary role of cell wall recognition domains in lysin selectivity as antibacterials, limited information is available about respective surface receptors or the impact of domain sequence variability. Their understanding would lead to improved versions of lysins for therapeutic application and infection prevention. Here, we have solved the structure of the CW_7 repeats of the Cpl-7 endolysin and demonstrate that they recognize and bind GMDP, a fragment of the PG building block, as previously suggested28. Also, a structural model of the domain in complex with GMDP consistent with the STD-mapping of the ligand epitope and mutational studies has been proposed, and sequence variability within CW_7 family analyzed.

This broadly distributed cell wall-binding motif folds into a three-helix bundle stabilized by hydrophobic and polar interactions mediated by residues highly conserved among sequences of the CW_7 family, and by two conserved aromatic residues capping the bundle side defined by the two first helices (see Supplementary Fig. S2). Crystals of the C-Cpl-7R mutant showed a tight packing of the three CW_7 repeats in the overall structure and a minor impact of the arginine-to-alanine mutation on the bundle structure. Interestingly, SAXS characterization of the domain structure in solution revealed a more open conformation (solution values of D max and R g were 1.37-fold higher than those calculated from the crystallographic coordinates), which was compatible with the hydrodynamic behaviour of C-Cpl-7 wt and C-Cpl-7R in sedimentation experiments and the low complexity of their 1D 1H NMR spectra. Taking into account the high overall net charge of the domain (−14.27 at neutral pH), it seems plausible that electrostatic repulsions among the repeats could favour the extended structure found at the low ionic strength (I = 0.044) of PB buffer. In line with this, the strong shielding of charges provided by the high ionic strength (I 6.6) of the crystallization buffer may have facilitated the structural compaction found in the full-length C-Cpl-7 crystals.

By STD-mapping of the GMDP binding epitope we have proved that the two saccharide units and the dipeptide are recognized by the binding site. This observation agrees with the previous finding that neither GlcNAc oligosaccharides nor MurNAc-L-Ala-D-isoGln stabilized C-Cpl-7 against thermal denaturation28. Moreover, it further suggests that GMDP might be the minimal element of the PG recognized by the CW_7 repeats. Interestingly, our docking studies pointed out that each CW_7 repeat may contain a muropeptide binding site in a shallow groove located between the two last helices of the bundle and the first one at the bottom. The favourable contacts inferred from the R2:GMDP docking model largely agreed with the mapping of the ligand epitope, as already noted, and the repeat residues involved in GMDP binding were all well conserved in the CW_7 family (Supplementary Fig. S2). Moreover, the strong drop of STD signals in the presence of C-Cpl-7R or C-Cpl-7Q supports the implication of Arg271 and Glu286, and the equivalent residues of R1 and R2, in the complex stabilization (see Supplementary Table S3) and validated as well the binding locus. On the other hand, the nature of the feasible interactions depicted by the docking model suggests that the drop in GMDP binding detected by STD-NMR at high ionic strength might entail a reduction in the binding site accessibility, as it occurs in the crystal structure of the full-length domain. In this context, it is tempting to speculate whether the ability of adopting either a close or an open conformation might constitute a mechanism for modulating Cpl-7 lytic activity, alike to those reported for other endolysins33,34,35. In line with this, Cpl-7 activity on pneumococcal cell walls decreased drastically as the solution ionic strength was increased36, and GMDP binding was impaired as well, as determined by STD-NMR.

Remarkably, the extension of the GMDP binding mode predicted for a single repeat to the BUNCH model of the full-length domain indicated that the solution structure was compatible with a 1:3 C-Cpl-7-to-GMDP molar ratio stoichiometry, as the three potential binding sites of the domain were fully accessible for GMDP binding. Moreover, according to this model, the inter-repeat linker and the N-terminal proximal region of the following repeat could help to shape the GMDP binding sites in multimodular CW_7 domains. Such disposition would also account for i) the inclusion of Arg296 (from the R2-to-R3 linker) among the residues in contact with GMDP by docking studies, ii) the complete STD-map of the GMDP binding epitope, and iii) the differences found in the STD signals upon irradiation of either the methyl region or the aromatic region of the C-Cpl-7 domain. Thus, our results support the notion that every CW_7 repeat of C-Cpl-7 provides a binding site for the bacterial PG rather than acting together as a whole to generate a tertiary structure essential for PG recognition. This hypothesis is further supported by the ability of the Cpl-7Δ2 mutant, comprising only one CW_7 repeat, to hydrolyze pneumococcal cell walls 780-fold faster than the separate catalytic model, and with the strong increase in activity accompanying the acquisition of another repeat in Cpl-7Δ1 (Fig. 1). Interestingly, the superimposition of the NMR-based structure of the PG network37 onto the C-Cpl-7:(GMDP)3 model showed that the three-fold symmetry of the PG backbone and the spatial arrangement of the stem peptides would likely allow the simultaneous attachment of three PG chains to the C-Cpl-7 domain (Supplementary Fig. S12). The possibility that contacts between the C-Cpl-7 domain and the PG network could extent to other muropeptide units or to additional residues of the peptide stem or the inter-peptide bridges cannot be presently dismissed.

Targeting of the PG by CW_7 motifs accounts for Cpl-7 ability to kill both Gram-positive and Gram-negative bacteria17. However, Cpl-7 does not behave as a broad-range killing lysin, and there is not an evident relationship between the type of PG structure and Cpl-7 bacteriolytic activity. PGs of susceptible bacteria so far identified are of type A3α with L-(Ala/Ser)-L-Ala or L-Ala2/3 linking-peptides (e.g. S. pneumoniae, E. faecalis or S. pyogenes), A1α (Streptococcus suis), or A1γ (E. coli and Pseudomonas putida). However, neither Listeria monocytogenes (A1γ PG type)38 nor Streptococcus agalactiae (A3α PG with L-Ala-L-(Ala/Ser) linkers) or Streptococcus mutans (A3α PG with L-Thr-L-Ala bridges)39 are killed by Cpl-717. Thus, Cpl-7 specificity is likely modulated by secondary factors that help to define charge distribution and PG accessibility, like capsular components, PG local composition, or surface attached molecules17,40.

Tailoring of sequences and domain composition at genetic level has been required to achieve the high substrate selectivity that constitutes one of lysins’s strengths as anti-infective drugs. The inspection of CW_7 sequences of protein databases has revealed a well conserved three-residue deletion in sequences from eubacteria in comparison with those of Firmicutes (Supplementary Figs S2 and S3). Deviations from this trend are localized in a few architectures (Supplementary Figs S2 and S3). In addition, an uneven distribution of major CW_7-containing architectures among bacterial phyla and/or genus has become evident (Supplementary Fig. S1). Moreover, we have found that fine traits of sequence conservation among repeats can vary with the type of architecture, as also occurs with the linkers connecting the CW_7 repeats, whose length can depend too on the phyla and genus (Supplementary Fig. S3). Taken together, all these data point to a co-evolution of the CW_7 sequences with those of catalytic domain/s and, when present, additional cell wall-binding domains. By means of it, small differences in the affinity of a separate domain, or domains, may have been amplified –via multiple domain/cell wall interactions– to alter the efficiency and substrate specificity, even at the species or strain level. Of note, the acquisition of one LysM module by GH25-(CW_7) sequences changed its predominance on Firmicutes towards Actinobacteria, whereas the GH25-(CW_7)-LysM2 type is so far confined to Bifidobacteria (Supplementary Fig. S1). It has been proposed that LysM modules might have evolved to ensure optimal recognition of chitine and PG glycosidic chains, with peptide stems acting as negative modulators of LysM binding to PG41. Hence, specific combination of CW_7 and LysM modules in a single polypeptide chain might have facilitated a rapid evolution to new specificities while using existing cell-wall surface receptors. The same might apply to the great variety of architectures shown by the CW_7 containing proteins. Moreover, domains and linkers co-adaptation may be a key issue in their exploitation –either wild-type or in chimeric constructions– to control pathogenic bacteria and to prevent the killing of normal microbiota.


Cloning, expression and purification of proteins

The Cpl-7 endolysin was produced and purified as previously described11. The synthetic DNA fragments encoding Cpl-7Δ1, Cpl-7Δ2, C-Cpl-7 wt without tag and the triple (Arg223Ala, Arg271Ala, Arg319Ala) C-Cpl-7R, (Gln238Ala, Gln286Ala and Gln334Ala) C-Cpl-7Q, and (Ile213Ala, Ile261Ala and Ile309Ala) C-Cpl-7I mutants were purchased from ATG:biosynthetics (Merzhausen, Germany) as E. coli codon-optimized, pUC-derivative recombinant plasmids. The amino acid sequences of respective proteins are shown in Supplementary Fig. S4. The relevant DNA fragments were subcloned into the pT7-7 expression vector42 using NdeI and EcoRI (Cpl-7Δ1 and Cpl-7Δ2) or NdeI and PstI (C-Cpl-7 wt and C-Cpl-7R, C-Cpl-7Q and C-Cpl-7I), giving rise to plasmids pT7Δ1, pT7Δ2, pTCCpl7, pTCCpl7R, pTCCpl7Q and pTCCpl7I, respectively. For protein overproduction, E. coli BL21(DE3) cells transformed with these plasmids were incubated in LB medium containing ampicillin (0.1 mg/ml) to an optical density at 600 nm (OD600) of about 0.6. Then, IPTG (100 μM) was added and incubation proceeded overnight at 30 °C, except for the C-Cpl-7 mutants that were induced at 20 °C. Respective proteins were purified using the protocol reported for the full length protein11 with small variations in the salt gradients applied to elute the different proteins. In parallel, the C-Cpl-7 coding gene was amplified by PCR from the pCP700 plasmid containing the Cpl-7 gene43 using NC-Cpl-7 forward (5′-GGAATTCAACAATGAAAACACTCTAAAAAGCCTTACC-3′) and CC-Cpl-7 reverse (5′-CCCAAGCTTAAAATAGCTAGTAGAAAATTTCTACTAGCTTTTACTTGTTA-3′) primers, where nucleotides in bold are restriction sites for EcoRI and HindIII, respectively. The 500 bp PCR product was cloned into the pKLSLt vector44 and the resulting plasmid pKLSLt-C-Cpl-7 was transformed into E. coli BL21 (DE3) cells. Cells expressing the LSLt-C-Cpl-7wt fusion protein were grown at 37 °C in LB medium containing kanamycin (50 μg/ml) to an OD600 = 0.8 and induced with IPTG (50 µM) for 12 h at 16 °C. Purification of the LSLt-C-Cpl-7 fusion protein was carried out by affinity chromatography onto a Sepharose 4B affinity column (GE Healthcare) followed by LSLt fusion-tag cleavage with the TEV protease45. The accuracy of all cloned genes was confirmed by DNA sequencing (Secugen S.L., Madrid). All purification steps were performed at 4 °C and the purity and masses of isolated proteins were checked by SDS-PAGE (12–15% acrylamide/bis-acrylamide) and MALDI-TOF (matrix-assisted laser desorption/ionization-time of flight) before storage at −20 °C. Unless otherwise stated, proteins were dialyzed at 4 °C against the appropriate buffer and centrifuged for 5 min at 11,600 × g. Theoretical absorption coefficients at 280 nm (ProtParam; were used to determine protein concentrations.

Activity assays

Cell wall solubilisation assays were carried out at 37 °C in PB buffer (pH 6.0) using [methyl-3H]choline-labeled pneumococcal cell walls from strain R6 as substrate46 as described elsewhere17. One unit of activity was defined as the amount of enzyme that catalyses the solubilization of 1 µg of cell wall material in 10 min. Data are the average of three independent assays with four to six replicas each.

Mass spectrometry

MALDI-TOF measurements were performed on a Voyager DE-Pro mass spectrometer (Applied Biosystems) as described28,47. Cpl-7, Cpl-7Δ1 and Cpl-7Δ2 spectra were obtained over the m/z range of 16–50 ku, employing carbonic anhydrase and enolase from Saccharomyces cerevisiae (Sigma) for external mass calibration. C-Cpl-7 wt and mutant spectra were obtained over the m/z range 2–20 ku. Insulin (bovine), thioredoxin (E. coli, oxidized) and apomyoglobin (horse skeletal muscle) (Calibration Mixture 3 of Sequazyme Peptide Mass Standards Kit; Applied Biosystems) were used in this case for external mass calibration.

Analytical ultracentrifugation

Sedimentation velocity experiments were carried out at 20 °C in an Optima XL-A analytical ultracentrifuge (Beckman Coulter). Measurements were performed in PB buffer at 45,000 rpm using cells with double sector Epon-charcoal centrepieces (AN50Ti rotor). Differential sedimentation coefficients were calculated by least-squares boundary modelling of the experimental data, and corrected to s 20,w values with the program SEDFIT48. The ratio of the frictional translational coefficients of the protein particle and the equivalent rigid sphere (f/f 0) and the Stokes’ radii (R s), related to the protein hydrodynamic shape, were calculated with the SEDNTERP program49, using as input data the s 20,w value, together with the partial specific volume and the hydration coefficient calculated from the amino acid sequence using SEDNTERP.

Circular dichroism

CD measurements were performed in PB buffer at 20 °C in a J-810 spectropolarimeter (Jasco Corporation) equipped with a Peltier temperature control system, using protein concentrations of 0.17 mg/ml (far-UV) and 0.56 mg/ml (near-UV). Spectra were recorded and analysed as described50. Thermal denaturation experiments were carried out by increasing the temperature from 20 to 90 °C at a scanning rate of 60 °C/h and ellipticity variations at 222 nm were monitored every 0.2 °C. The best fitting parameters of the two-state transition model28 to the denaturation profiles are shown in Supplementary Table S4.

Crystallization and X-ray structure determination

The strategy to obtain suitable crystals of C-Cpl-7 and the structure determination is described in Supplementary Methods. Briefly, crystals containing the R1–2 fragment (see Fig. 1) grew at 18 °C using the hanging-drop vapour-diffusion method by mixing 2 µl of protein solution (20 mg ml−1 of C-Cpl-7 wt purified from the LSLt-C-Cpl-7 fusion protein in 25 mM Tris, pH 8, and 100 mM NaCl) with 2.5 µl of reservoir solution (1.3 M trisodium citrate) and including 0.5 µl 1 M HEGA-8 (octanoyl-N-hydroxyethylglucamide) as additive, equilibrating against 500 µl of crystallization solution in the reservoir. Crystals of the full length C-Cpl-7R triple mutant were obtained by mixing 2 µl of protein solution (20 mg ml−1 in the buffer used for the wild type protein) with 2.5 µl reservoir solution supplemented with 0.5 µl 1 M HEGA-8, equilibrating against 500 µl of crystallization solution (1.1 M trisodium citrate) in the reservoir. Both protein crystals were soaked for a few seconds in a cryoprotectant solution prior to flash-cooling at 100 K in liquid nitrogen. X-ray data sets were collected on beamline ID 14-1 (λ = 0.934 Å) at the ESRF (Grenoble, France) and on Bl-13-XALOC (λ = 1.05739 Å)51 at ALBA synchrotron (Barcelona, Spain). Data were collected to 1.67 Å resolution from the R1-2 crystal, and up to 2.8 Å resolution for the full-length C-Cpl-7R crystal. Data sets were processed using XDS 52 and iMOSFLM, and scaled with AIMLESS from CCP4 program suite53. The structure of a single repeat from R1-2 crystals (referred as R2) was solved with ARCIMBOLDO 22 that combines fragment location with PHASER54 and extension through density modification and autotracing with SHELXE55. C-Cpl-7R structure was determined by molecular replacement using the programme MOLREP 56 and the structure of the repeat from R1-2 crystals as initial model. Manual model building was performed using COOT57. Models were refined using PHENIX suite58. Excellent density maps were obtained for the single repeat structure (Supplementary Fig. S6) whose refinement converged to the final values of R = 0.17 and Rfree = 0.22. Full-length C-Cpl-7R structure also presented an excellent electron density map along the sequence except for the last residue of the polypeptide chain. Refinement of C-Cpl-7R resulted in an R factor of 0.20 and Rfree of 0.29. The final models presented a good stereochemistry with 100% (R2) and 98% (C-Cpl-7R) of the non-glycine, non-proline residues found in the most favoured regions, and with 0% (R2) and 0.71% (C-Cpl-7R) residues in disallowed regions. Data processing results and refinement statistics are summarized in Table 2. PDB’s accession codes for R2 and C-Cpl-7R are 4CVD and 5I8L, respectively.

Table 2 X-ray data collection and refinement statistics.

NMR spectroscopy

NMR spectra were acquired at 25 °C on a Bruker Avance 800 MHz spectrometer equipped with inverse triple-resonance TCI cryo-probe and pulse gradients, using samples prepared in 500 μl of 99.9% D2O-buffers. 1H NMR spectra of all C-Cpl-7 constructs were very well dispersed and shared a very up-field methyl signal (−1 ppm) with full-length Cpl-7 (Supplementary Fig. S9), which confirmed the retention of the native fold. STD-NMR experiments were optimized as described59 using pulse sequences reported in the literature60. Briefly, experiments were carried out using a train of 50 ms Gaussian shaped pulses of flipping angles of 650° (height 87.7 Hz) and 2.0 s of total saturation time. The on-resonance frequency was set around −1.0 ppm (aliphatic region) or 7.7 ppm (aromatic region) whereas the off-resonance frequency was –150 ppm, where no protein signals are present. Based on chemical shift calculations with programs SHIFTX61 and SIFTSS 4.062 using the coordinates of R2 structure, the upfield methyl signal at about −1 ppm was proposed to correspond to Leu227 (R1), Leu275 (R2) and Leu323 (R3), in accordance with their burial in the hydrophobic core in proximity to aromatic groups, whereas the 7.7 ppm aromatic signal would arise from protons of Trp217, Tyr224, and Tyr232 in R1, Trp265, Tyr272, and Tyr280 in R2, and Trp313, Tyr320, and Tyr328 in R3. Blank experiments were performed to assure the absence of direct saturation to the ligand protons. Samples for STD were prepared at protein/GMDP ratios of ca 1:50 (0.033–0.05 mM protein range) in PB-D2O buffer (pD 7.1), or in 0.25 M sodium pyrophosphate, 1.5 M NaCl (pD 8.6). The relatively low complexity of C-Cpl-7 wt and mutant spectra in PB suggested that, at low salt concentration, the repeats behave as independent units in which protons occupying equivalent positions have very similar chemical environments.

To map the binding epitope of GMDP (Merck), STD intensities were normalized with respect to the one of the highest response, taken as 100%. The complete assignment of the 1H NMR spectra of the α- and β-anomers of GMDP in D2O, required for epitope mapping, was done on the bases of 2D spectra COSY, TOCSY (50 ms mixing time) and ROESY (125 ms mixing time), following standard procedures. STD-TOCSY experiments were acquired using 256 increments and an isotropic mixing time of 60 ms.

Docking studies

The coordinates of R2 structure (PDB: 4CVD) were used for the receptor. The hydrogen atoms and partial charges at pH 7.0 were added with the pdb2pqr software63. The coordinates of the ligand, GMDP, were obtained from its complex with the S. pneumoniae autolysin LytC (PDB: 2WWD). The GLYCAM06 (Glycam_06 g.dat downloaded from and PARM99SB65 parameters were used to optimize the ligand and receptor geometries, respectively. The MurNAc unit, undefined in GLYCAM06 force field, was treated as a GlcNAc unit with a lactyl group bound at position 3, which was optimized ab initio using Gaussian 0366 at the HF/6–31 G level of theory. First, a “blind docking”31,32 of GMDP into the crystal structure was run with AutoDock4.2 (100 runs with default parameters), using a grid box that comprised the whole surface of R2, in order to find the most probable binding cavity. Next, and to cover the widest range of possible solutions compatible with STD data, docking programs that use different docking and scoring algorithms were employed: CRDOCK67, DOCK6.368, AutoDock4.269 and AutoDock Vina70 (see Supplementary information). After default evaluation by the respective methods, the best scored solutions were carefully analyzed using the STD data as a quality control of the ligand pose in the complex. The binding model with lowest docking energy and highest compatibility with STD data from each method was selected and minimized in vacuo by 2500 cycles of conjugate gradient followed by 500 cycle of steepest descent, using the Sander program (AMBER12 package)65. Finally, the four minimized solutions were compared and the one that best accounted for the STD-mapping results was proposed as the most probable model of the GMDP:R2 complex.

Small-Angle X-Ray Scattering

SAXS measurements were performed at 20 °C at the BL11-NCD beamline at ALBA synchrotron (Barcelona, Spain). Before data acquisition, the protein was extensively dialyzed against PB buffer, centrifuged (20 min × 50,000 rpm) at 4 °C in a Beckman TL-100 (TL100.3 rotor), and the lowest part of the sample was discarded to remove possible aggregates. Protein spectra were acquired at 7.6, 3.8 and 1.9 mg/ml. The wavelength used was 0.995 Å, and the sample to detector distance (Quantum 210r; ADSC, California) 2.0 m, which allowed collecting data from 0.01 to 0.55 Å−1 of the scattering vector, q, defined as 4π·sinθ/λ, where θ is the scattering angle. No changes by radiation damage were detected in the 30 frames of 50 ms each recorded per sample, which were averaged and normalized by beam intensity and detector response. Buffer scattering was subtracted from the protein data. Corrected spectra were then normalized and extrapolated to infinite dilution, as they slightly bended down at very low values of q with increasing protein concentrations (Supplementary Fig. S8a), which is indicative of some inter-particle repulsion. Data were then processed and analyzed using the ATSAS package71. R g was calculated by the Guinier approximation using PRIMUS and the pair-of distances-distribution function (P(r)) implemented in GNOM72. P(r) yielded also D max value. Ten ab initio bead models of C-Cpl-7 were constructed with DAMMIF25, superimposed with SUPCOMB, filtered by spatial discrepancy with DAMFILT (the spatial discrepancy parameter was 0.57 ± 0.07 Å), and averaged with DAMAVER73. Rigid body modelling of the solution structure was performed with the BUNCH program26 using as input the coordinates of the repeats in C-Cpl-7m crystal structure. The repeats were moved and rotated as independent rigid bodies, whereas the last four residues of inter-repeat linkers (residues 249 to 252 and residues 297 to 300) were treated as a chain of dummy residues. Distances between the residues forming the two inter-domain salt bridges (Arg248/Glu259 and Arg296/Glu307) found in the crystal structure were included as structural restraints. The EOM method27 was used to analyze the flexibility of the C-Cpl-7 domain in solution. The repeat coordinates, linker definition and restraints employed in BUNCH were maintained. The theoretical scattering profiles of the SAXS-derived models and the crystal structure of the C-Cpl-7R mutant were calculated with CRYSOL24, and the theoretical hydrodynamic parameters with WinHydropro74.

Preparation of cell wall microarrays

For preparation of robotic arrays, cell wall samples from S. pneumoniae R6, with choline- or ethanolamine-containing (lipo)teichoic acids, and Micrococcus luteus (Sigma) were printed on 16-pad nitrocellulose-coated glass slides (FAST-slides, Maine manufacturing) using a non-contact arrayer (Sprint, Arrayjet Ltd.). Pneumococcal cell walls were prepared, as described75, from cultures grown without shaking at 37 °C to an OD620 of 0.5 in C medium supplemented with yeast extract (0.8 mg/ml; Difco Laboratories) or in ethanolamine-containing Cden-EA medium76,77. Cell wall sample suspensions in PBS were diluted with two volumes of 70.5% glycerol, 0.09% Triton X-100 (final concentrations 47% and 0.06%, respectively) and printed in a four-level dose-response format by applying 100 pl/spot. Spots were printed as triplicates. 1 µl of Cy3 fluorophore (GE Healthcare) was added per millilitre of sample suspensions, to enable post-array monitoring of the spots78 by scanning fluorescence signals upon excitation at 532 nm (green laser) with a GenePix 200-AL scanner (Axon, Molecular Devices).

Microarray binding assays

C-Cpl-7 wt and C-Cpl-7R were biotinylated using the ECL protein biotinylation module (Amersham). Briefly, 200 μl of protein (1 mg/ml) were incubated with the biotinylation reagent according to manufacturer’s protocol, except that reagent removal after labelling was performed by exhaustive dialysis. The printed slides were blocked for 1 h with 0.25% (v/v) Tween-20 in PB buffer, pH 6.0, at 20 °C. Then, microarrays were rinsed with PB and overlaid with a solution of 0.6 μM biotinylated C-Cpl-7 wt or C-Cpl-7m in overlay buffer (0.1% (v/v) Tween-20 in PB buffer, pH 6). After incubation for 1.5 h at 20 °C, microarrays were washed 4 times with PB and binding was detected by incubating with AlexaFluor-647 (AF647)-labelled streptavidin (Invitrogen) at 1 μg/ml in overlay buffer for 35 min at 20 °C. The slides were washed thoroughly with PB and subsequently with water and scanned for AF647 fluorescence signals (excitation at 635 nm, red laser).

Data availability

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.


  1. Pastagia, M., Schuch, R., Fischetti, V. A. & Huang, D. B. Lysins: the arrival of pathogen-directed anti-infectives. J. Med. Microbiol. 62, 1506–1516 (2013).

    CAS  Article  PubMed  Google Scholar 

  2. Rodríguez-Cerrato, V. et al. Pneumococcal LytA autolysin, a potent therapeutic agent in experimental peritonitis-sepsis caused by highly β-lactam-resistant Streptococcus pneumoniae. Antimicrob. Agents Chemother. 51, 3371–3373 (2007).

    Article  PubMed  PubMed Central  Google Scholar 

  3. Borysowski, J. & Górski, A. Anti-staphylococcal lytic enzymes. In: Enzybiotics: Antibiotic Enzymes as Drugs and Therapeutics. pp. 149–172 Villa, T. G., Veiga-Crespo, P, editors, John Wiley & Sons, Inc., Hoboken, NJ, USA. (2010).

  4. Fischetti, V. A. Bacteriophage endolysins: A novel anti-infective to control Gram-positive pathogens. Inter. Med. Microbiol. 300, 357–362 (2010).

    CAS  Article  Google Scholar 

  5. Nelson, D. C. et al. Endolysins as antimicrobials. Adv. Virus Res. 83, 299–365 (2012).

    CAS  Article  PubMed  Google Scholar 

  6. Hermoso, J. A., García, J. L. & García, P. Taking aim on bacterial pathogens: from phage therapy to enzybiotics. Curr. Opin. Microbiol. 10, 461–472 (2007).

    CAS  Article  PubMed  Google Scholar 

  7. Briers, Y. & Lavigne, R. Breaking barriers: expansion of the use of endolysins as novel antibacterials against Gram-negative bacteria. Future Microbiol. 10, 377–390 (2015).

    CAS  Article  PubMed  Google Scholar 

  8. Schmelcher, M. & Loessner, M. J. Bacteriophage endolysins: applications for food safety. Curr. Opin. Biotech. 37, 76–87 (2016).

    CAS  Article  PubMed  Google Scholar 

  9. Czaplewski, L. et al. Alternatives to antibiotics—a pipeline portfolio review. Lancet Infect. Dis. 16, 239–251 (2016).

    CAS  Article  PubMed  Google Scholar 

  10. López, R. & García, E. Recent trends on the molecular biology of pneumococcal capsules, lytic enzymes, and bacteriophage. FEMS Microbiol. Rev. 28, 553–580 (2004).

    Article  PubMed  Google Scholar 

  11. Bustamante, N. et al. Cpl-7, a lysozyme encoded by a pneumococcal bacteriophage with a novel cell wall-binding motif. J. Biol. Chem. 285, 33184–33196 (2010).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  12. Oliveira, H. et al. Molecular aspects and comparative genomics of bacteriophage endolysins. J. Virol. 87, 4558–4570 (2013).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  13. Briers, Y. et al. Muralytic activity and modular structure of the endolysins of Pseudomonas aeruginosa bacteriophages φKZ and EL. Mol. Microbiol. 65, 1334–1344 (2007).

    CAS  Article  PubMed  Google Scholar 

  14. Lood, R. et al. Novel phage lysin capable of killing the multidrug-resistant Gram-negative bacterium Acinetobacter baumannii in a mouse bacteremia model. Antimicrob. Agents Chemother. 59, 1983–1991 (2015).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  15. Walmagh, M., Briers, Y. U., dos Santos, S. B., Azeredo, J. & Lavigne, R. Characterization of modular bacteriophage endolysins from Myoviridae phages OBP, 201 phi 2-1 and PVP-SE1. Plos One 7, e36991 (2012).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  16. Low, L. Y., Yang, C., Perego, M., Osterman, A. & Liddington, R. The role of net charge on the catalytic domain and the influence of the cell-wall binding domain on the bactericidal activity, specificity and host-range of phage lysins. J. Biol. Chem. 286, 34391–34403 (2011).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  17. Díez-Martínez, R. et al. Improving the lethal effect of Cpl-7, a pneumococcal phage lysozyme with broad bactericidal activity, by inverting the net charge of its cell wall-binding module. Antimicrob. Agents Chemother. 57, 5355–5365 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  18. Díez-Martínez, R. et al. A novel chimeric phage lysin with high in vitro and in vivo bactericidal activity against Streptococcus pneumoniae. J. Antimicrob. Chemother. 70, 1763–1773 (2015).

    PubMed  Google Scholar 

  19. Díaz, E., López, R. & García, J. L. Chimeric pneumococcal cell wall lytic enzymes reveal important physiological and evolutionary traits. J. Biol. Chem. 266, 5464–5471 (1991).

    PubMed  Google Scholar 

  20. Pritchard, D. G., Dong, S., Kirk, M. C., Cartee, R. T. & Baker, J. R. LambdaSa1 and LambdaSa2 prophage lysins of Streptococcus agalactiae. Appl. Environ. Microbiol. 73, 7150–7154 (2007).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  21. Wang, Y., Sun, J. H. & Lu, C. Purified recombinant phage lysin LySMP: An extensive spectrum of lytic activity for swine streptococci. Curr. Microbiol. 58, 609–615 (2009).

    CAS  Article  PubMed  Google Scholar 

  22. Millán, C., Sammito, M. & Usón, I. Macromolecular ab initio phasing enforcing secondary and tertiary structure. IUCr J. 2, 95–105 (2015).

    Article  Google Scholar 

  23. Holm, L. & Rosenström, P. Dali server: conservation mapping in 3D. Nucl. Acids Res. 38, W545–549 (2010).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  24. Svergun, D., Barberato, C. & Koch, M. H. J. CRYSOL – A program to evaluate x-ray solution scattering of biological macromolecules from atomic coordinates. J. Appl. Crystallogr. 28, 768–773 (1995).

    CAS  Article  Google Scholar 

  25. Franke, D. & Svergun, D. I. DAMMIF, a program for rapid ab-initio shape determination in small-angle scattering. J. Appl. Crystallogr. 42, 342–346 (2009).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  26. Petoukhov, M. V. & Svergun, D. I. Global rigid body modeling of macromolecular complexes against small-angle scattering data. Biophys. J. 89, 1237–1250 (2005).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  27. Bernardó, P., Mylonas, E., Petoukhov, M. V., Blackledge, M. & Svergun, D. I. Structural characterization of flexible proteins using small-angle X-ray scattering. J. Amer. Chem. Soc. 129, 5656–5664 (2007).

    Article  Google Scholar 

  28. Bustamante, N., Rico-Lastres, P., García, E., García, P. & Menéndez, M. Thermal stability of Cpl-7 endolysin from the Streptococcus pneumoniae bacteriophage Cp-7; cell wall-targeting of its CW_7 motifs. PloS One 7, e46654 (2012).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  29. Meyer, B. & Peters, T. NMR spectroscopy techniques for screening and identifying ligand binding to protein receptors. Angew. Chem. Int. Ed. 42, 864–890 (2003).

    CAS  Article  Google Scholar 

  30. Di Micco, S., Bassarello, C., Bifulco, G., Riccio, R. & Gómez-Paloma, L. Differential-frequency saturation transfer difference NMR spectroscopy allows the detection of different ligand–DNA binding modes. Angew. Chem. Int. Ed. 45, 224–228 (2006).

    Article  Google Scholar 

  31. Hetenyi, C. & van der Spoel, D. Blind docking of drug-sized compounds to proteins with up to a thousand residues. FEBS Lett. 580, 1447–1450 (2006).

    CAS  Article  PubMed  Google Scholar 

  32. Hetenyi, C. & van der Spoel, D. Toward prediction of functional protein pockets using blind docking and pocket search algorithms. Protein Sci. 20, 880–893 (2011).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  33. Nascimento, J. G., Guerreiro-Pereira, M. C., Fernandes Costa, S., São-José, C. & Almeida Santos, M. Nisin-triggered activity of Lys44, the secreted endolysin from Oenococcus oeni phage fOg44. J. Bacteriol. 190, 457–461 (2008).

    CAS  Article  PubMed  Google Scholar 

  34. Kuty, G. F., Xu, M., Struck, D. K., Summer, E. J. & Young, R. Regulation of a phage endolysin by disulfide caging. J. Bacteriol. 192, 5682–5687 (2010).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  35. Dunne, M. et al. Crystal structure of the CTP1L endolysin reveals how its activity is regulated by a secondary translation product. J. Biol. Chem. 291, 4884–4893 (2016).

    Google Scholar 

  36. Sanz, J. M., Díaz, E. & García, J. L. Studies on the structure and function of the N-terminal domain of the pneumococcal murein hydrolases. Mol. Microbiol. 6, 921–931 (1992).

    CAS  Article  PubMed  Google Scholar 

  37. Meroueh, S. O. et al. Three-dimensional structure of the bacterial cell wall peptidoglycan. Proc. Natl. Acad. Sci USA 103, 4404–4409 (2006).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  38. Kamisango, K. et al. Structures and biological activities of peptidoglycans of Listeria monocytogenes and Propionibacteirum acnes. J. Biochem. 92, 23–33 (1982).

    CAS  Article  PubMed  Google Scholar 

  39. Schleifer, K. H. & Kandler, O. Peptidoglycan types of bacterial cell walls and their taxonomic implications. Bacteriol. Rev. 36, 407–477 (1972).

    CAS  PubMed  PubMed Central  Google Scholar 

  40. Rico-Lastres, P. et al. Substrate recognition and catalysis by LytB, a pneumococcal peptidoglycan hydrolase involved in virulence. Sci. Rep. 5, 16198, (2015).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  41. Mesnage, S. et al. Molecular basis for bacterial peptidoglycan recognition by LysM domains. Nat. Commun. 5, 4269, (2014).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  42. García, P., García, J. L., García, E., Sánchez-Puelles, J. M. & López, R. Modular organization of the lytic enzymes of Streptococcus pneumoniae and its bacteriophages. Gene 86, 81–88 (1990).

    Article  PubMed  Google Scholar 

  43. Tabor, S. & Richardson, C. C. A bacteriophage T7 RNA polymerase/promoter system for controlled exclusive expression of specific genes. Proc. Natl. Acad. Sci. USA 82, 1074–1078 (1985).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  44. Mancheño, J. M. & Angulo, I. Fusion proteins having a beta-trefoil-type lectin domain, method for obtaining same and use thereof patent patent WO200912199 A1.

  45. Silva-Martín, N. et al. Crystallization and preliminary crystallographic analysis of the catalytic module of endolysin from Cp-7, a phage infecting Streptococcus pneumoniae. Act. Cryst. F66, 670–673 (2010).

    Google Scholar 

  46. Mosser, J. L. & Tomasz, A. Choline-containing teichoic acid as a structural component of pneumococcal cell wall and its role in sensitivity to lysis by an autolytic enzyme. J. Biol. Chem. 245, 287–298 (1970).

    CAS  PubMed  Google Scholar 

  47. Moreno, F. J., Quintanilla-López, J. E., Lebrón-Aguilar, R., Olano, A. & Sanz, M. L. Mass spectrometric characterization of glycated β-lactoglobulin peptides derived from galacto-oligosaccharides surviving the in vitro gastrointestinal digestion. J. Am. Soc. Mass. Spectrom. 19, 927–937 (2008).

    CAS  Article  PubMed  Google Scholar 

  48. Schuck, P. Size-distribution analysis of macromolecules by sedimentation velocity ultracentrifugation and Lamm equation modeling. Biophys. J. 78, 1606–19 (2000).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  49. Laue, T. M., Shah, B. D., Ridgeway, T. M. & Pelletier, S. L. Computer-aided interpretation of analytical sedimentation data for proteins. pp.90–125. In: Analytical Ultracentrifugation in Biochemistry and Polymer Science. Harding, S. E., Rowe, A. J., Horton, J. C., eds Royal Soc. Chem. Cambridge, UK (1992).

  50. Varea, J. et al. Structural and thermodynamic characterization of Pal, a phage natural chimeric lysin active against pneumococci. J. Biol. Chem. 279, 43697–43707 (2004).

    CAS  Article  PubMed  Google Scholar 

  51. Juanhuix, J. et al. Developments in optics and performance at BL13-XALOC, the macromolecular crystallography beamline at the Alba Synchrotron. J. Synchrotron Radiat. 21, 679–689 (2014).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  52. Kabsch, W. XDS. Acta Cryst. D66, 125–132 (2010).

    Google Scholar 

  53. Baley, S. The CCP4 suite, programs for protein crystallography. Acta Cryst. D 50, 157–163 (1994).

    Google Scholar 

  54. McCoy, A. J. et al. Phaser crystallographic software. J. Appl. Crystallogr. 40, 658–674 (2007).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  55. Sheldrick, G. Experimental phasing with SHELXC/D/E: combinding chain tracing with density modification. Acta Cryst. D66, 479–485 (2010).

    Google Scholar 

  56. Vagin, A. & Teplyakov, A. Molecular replacement with MOLREP. Acta Cryst. D 66, 22–25 (2010).

    CAS  Article  Google Scholar 

  57. Emsley, P. & Cowtan, K. Coot: model-building tools for molecular graphics. Acta cryst. D60, 2126–2132 (2004).

    CAS  Google Scholar 

  58. Adams, P. D. et al. PHENIX: a comprehensive Python-based system for macromolecular structure solution. Acta Cryst. D 66, 213–221 (2010).

    CAS  Article  Google Scholar 

  59. Xia, Y., Zhu, Q., Jun, K. Y., Wang, J. & Gao, X. Clean STD-NMR spectrum for improved detection of ligand-protein interactions at low concentration of protein. Magn. Reson. Chem. 48, 918–924 (2010).

    CAS  Article  PubMed  Google Scholar 

  60. Mayer, M. & Meyer, B. Characterization of ligand binding by saturation transfer difference NMR spectroscopy. Angew. Chem. Int. Ed. 38, 1784–1788 (1999).

    CAS  Article  Google Scholar 

  61. Han, B., Liu, Y., Ginzinger, S. & Wishart, D. SHIFTX2: significantly improved protein chemical shift prediction. J. Biomol. NMR 50, 43–57 (2011).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  62. Xiao-Ping, X. & David, A. Case. Automated prediction of 15N, 13Cα, 13Cβ and 13C′ chemical shifts in proteins using a density functional database. J. Biomol. NMR 21, 321–333 (2001).

    Article  Google Scholar 

  63. Dolinsky, T. J. et al. PDB2PQR: expanding and upgrading automated preparation of biomolecular structures for molecular simulations. Nucleic Acids Res. 35, W522–W525 (2007).

    Article  PubMed  PubMed Central  Google Scholar 

  64. Kirschner, K. N. et al. GLYCAM06: a generalizable biomolecular force field. Carbohydrates. J. Comput. Chem. 29, 622–655 (2008).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  65. Case, D. A. et al. AMBER 12, University of California, San Francisco (2012).

  66. Frisch, M. J. et al. Gaussian 03, Revision C.02. Gaussian, Inc., Wallingford CT, (2004).

  67. Cabrera, A. C. et al. CRDOCK: An ultrafast multipurpose protein-ligand docking tool. J. Chem. Inf. Model 52, 2300–2309 (2012).

    CAS  Article  Google Scholar 

  68. Lang, P. T. et al. I. D. DOCK 6: combining techniques to model RNA-small molecule complexes. RNA 15, 1219–1230 (2009).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  69. Morris, G. M. et al. AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility. J. Comput. Chem. 30, 2785–2791 (2009).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  70. Trott, O. & Olson, A. J. AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. J. Comput. Chem. 31, 455–461 (2010).

    CAS  PubMed  PubMed Central  Google Scholar 

  71. Petoukhov, M. V. et al. New developments in the ATSAS program package for small-anglescattering data analysis. J. Appl. Crystallogr. 45, 342–350 (2012).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  72. Semenyuk, A. V. & Svergun, D. I. Gnom–a Program package for small-angle scattering data-processing. J. Appl. Crystallogr. 24, 537–540 (1991).

    Article  Google Scholar 

  73. Volkov, V. V. & Svergun, D. I. Uniqueness of ab initio shape determination in small-angle scattering. J. Appl. Crystallogr. 36, 860–864 (2003).

    CAS  Article  Google Scholar 

  74. Ortega, A., Amorós, D. & de la Torre, J. G. Prediction of hydrodynamic and other solution properties of rigid proteins from atomic and residue-level models. Biophys. J. 101, 892–898 (2011).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  75. García-Bustos, J. F. & Tomasz, A. Teichoic acid-containing muropeptides from Streptococcus pneumoniae as substrates for the pneumococcal autolysin. J. Bacteriol. 169, 447–453 (1987).

    Article  PubMed  PubMed Central  Google Scholar 

  76. Lacks, S. & Hotchkiss, R. D. A study of the genetic material determining an enzyme activity in pneumococcus. Biochim. Biophys. Acta 39, 508–517 (1960).

    CAS  Article  PubMed  Google Scholar 

  77. Tomasz, A. Biological consequences of the replacement of choline by ethanolamine in the cell wall of pneumococcus: chain formation, loss of transformability, and loss of autolysis. Proc. Natl. Acad. Sci. USA 59, 86–93 (1968).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  78. Campanero-Rhodes, M. A. et al. Carbohydrate microarrays reveal sulphation as a modulator of siglec binding. Biochem. Biophys. Res. Commun. 344, 1141–1146 (2006).

    CAS  Article  PubMed  Google Scholar 

  79. Konecny., R., Baker, N. A. & McCammon, J. A. iAPBS: a programming interface to Adaptive Poisson-Boltzmann Solver (APBS). Comput. Science Discov. 5, 015005 (2012).

    ADS  Article  Google Scholar 

  80. Laskowski, R. A. & Swindells, M. B. LigPlot+: multiple ligand–protein interaction diagrams for drug discovery. J. Chem. Inf. Model. 51, 2778–2786 (2011).

    CAS  Article  PubMed  Google Scholar 

Download references


We thank V. López for excellent technical assistance. Research was funded by grants from the Ministerio de Economía y Competitividad (MINECO-FEDER) to P. García (SAF2012-39444-C02-01), J.A. Hermoso (BFU2014-59389-P), M. Bruix (CTQ2014-52633-P), I. Usón (BIO2015-64216-P and MDM2014-0435), and M. Menéndez (BFU2012-36825; BFU2015-70072-R), and from the Consejería de Educación de la Comunidad de Madrid (S2010/BMD/2457) to M. Menéndez and J. A. Hermoso. Additional funding was provided by the CIBER de Enfermedades Respiratorias (CIBERES), an initiative of the Instituto de Salud Carlos III (ISCIII).

Author information

Authors and Affiliations



M.M. conceived and designed the study with participation of M.B., J.A.H., P.G., and R.M.B., N.B., M.I-B., N.B-G., N.S-M., M.B., R.M.B., G.G., I.U., M.A.C-R. and E.G. performed the experiments and analyzed results. M.M. wrote the manuscript with participation of M.B., J.A.H., P.G., N.B. and M.I-B. All co-authors discussed results, edited and approved the manuscript.

Corresponding author

Correspondence to Margarita Menéndez.

Ethics declarations

Competing Interests

The authors declare that they have no competing interests.

Additional information

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Bustamante, N., Iglesias-Bexiga, M., Bernardo-García, N. et al. Deciphering how Cpl-7 cell wall-binding repeats recognize the bacterial peptidoglycan. Sci Rep 7, 16494 (2017).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:

Further reading


By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.


Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing