Abstract
Staphylococcal pathogens adhere to their human targets with exceptional resilience to mechanical stress, some propagating force to the bacterium via small, Ig-like folds called B domains. We examine the mechanical stability of these folds using atomic force microscopy-based single-molecule force spectroscopy. The force required to unfold a single B domain is larger than 2 nN – the highest mechanostability of a protein to date by a large margin. B domains coordinate three calcium ions, which we identify as crucial for their extreme mechanical strength. When calcium is removed through chelation, unfolding forces drop by a factor of four. Through systematic mutations in the calcium coordination sites we can tune the unfolding forces from over 2 nN to 0.15 nN, and dissect the contribution of each ion to B domain mechanostability. Their extraordinary strength, rapid refolding and calcium-tunable force response make B domains interesting protein design targets.
Staphylococcal pathogens adhere to their human targets using adhesins, which can withstand extremely high forces. Here, authors use single-molecule force spectroscopy to determine the similarly high unfolding forces of B domains that link the adhesin to the bacterium.
Introduction
Pathogenic bacteria have evolved to strongly and persistently adhere to their hosts using a variety of mechanisms. Among them are microbial surface components recognizing adhesive matrix molecules (MSCRAMMs), which adhere to target proteins of their human hosts1,2. Covalently bound to the Gram-positive peptidoglycan and extruding into the extracellular space, these adhesins target sequences on the order of 15 amino acids in human proteins, notably all chains of fibrinogen, but also other members of the extracellular and adhesive matrix, such as fibronectin3 and keratin4. Initial adhesion is crucial to begin infection, especially under hydrodynamic forces. The ligand binding region A at the N-terminus of these adhesins employs the “Dock, Lock and Latch” (DLL) mechanism5,6. In DLL, the peptide target is tightly confined between the N2 and N3 domain of region A, achieving mechanically hyperstable adhesion to host proteins. These adhesins, such as SdrG from S. epidermidis, and its homologs from S. aureus (ClfA, ClfB, Bbp, FnBPA, and SdrE) can withstand forces in the 2 nN force regime7–12, approaching the strength of a covalent bond13. This extreme strength is achieved through a recently identified molecular mechanism9. Along their stalks are so-called B domains, which appear in adhesins such as S.aureus SdrD and Bbp, S. epidermidis SdrG, and S. saprophyticus UafA14. B domains are small domains (~ 13 kDa) that link the ligand binding region to a sortase motif, which mediates covalent anchoring of the adhesin to the bacterial peptidoglycan15. Thus, it is to be expected that these folds must propagate the extreme mechanical force withstood by the DLL adhesin.
Using atomic force microscopy-based (AFM) single-molecule force spectroscopy (SMFS)16–19 we investigate the mechanical strength of B domains from S. epidermidis SdrG20 and S. aureus SdrD21,22. We found their mechanostability to be exceptional, far exceeding all other proteins investigated to date. B domains unfold at forces larger than 2 nN – a strength reminiscent of breaking a covalent bond. In comparison, pili domains of FimA from Actinomyces oris have been shown to unfold at ~ 0.7 nN23 and cohesin domains from cellulosomal bacteria unfold at ~ 0.6 nN24,25, both at similar force loading rates. Through site-directed mutations, we demonstrate that this stability rests on the coordination of calcium (Ca2+) ions. Each B domain coordinates three Ca2+ ions in different positions. When these are chelated from the domain their mechanostability drastically decreases by a factor of four – yet forces are still in the vicinity of 0.6–0.8 nN. Systematically incapacitating the Ca2+ coordination sites revealed which Ca2+ ion is most important to the mechanostability. Furthermore, there are subtle differences between B domains from related organisms – even the same gene – opening multiple scenarios for their role in pathogen adhesion.
Results
The SdrG B1 domain unfolds at forces over 2 nN
The B domains from staphylococcal adhesin SdrG, B1, and B2, act as a linker between the N-terminal A region, where domains N2 and N3 bind host targets with extremely high resilience to mechanical force (Fig. 1a), and the C-terminus, which is covalently anchored to the bacterial peptidoglycan via a sortase motif (Figs. 1b, c). Thus, the B domains are located between an extremely mechanostable non-covalent interaction and a covalent bond, motivating our investigation into their force resilience. Initial experiments probed the unfolding forces of the SdrG B1 domain using its wild type (WT), adjacent ultrastable protein handle, the N2 and N3 domain (Fig. 1d). SdrG N2N3 binding a 15 amino-acid peptide from the N-terminus of fibrinogen ß (Fgß) withstands >2 nN in force. Alternatively, we used the clumping factor B N2 and N3 domains (ClfB) from S. aureus as a handle, which binds a 12 amino-acid C-terminal peptide of dermokine (DK) and conveniently has no B domains, as well as a higher unbinding force than SdrG (Key plasmids for this study were deposited with Addgene and can be found in Table 1). The unfolding forces of SdrG B1 were consistently in the range of 2 nN (Figs. 1e, f). Traces containing no unfolding events before the handle ruptured indicate that sometimes SdrG B1 domain stability even exceeded that of the N2N3 handle. The contour length increment of the unfolding event matched the expected length for an unfolded B1 domain (110 amino acids × 0.365 nm per residue – 4 nm folded protein = 36 nm). Previous cell-based force spectroscopy work on SdrG had described an event preceding complex rupture at comparable forces and extension increments – yet not identified it as a B domain7. The SdrG B1 domain was located on the cantilever, whose apex (radius ~ 10 nm) can only present a limited number of molecules. Yet, its unfolding appeared in almost every trace for more than 12 h (N = 3712 events), thus we conclude that it refolds. A dynamic force spectrum was acquired for the high-force unfolding of B1 (Fig. 1f), which was described well by the Bell-Evans (BE) model. Curiously, a second unfolding population with an identical contour length increment unfolding ~ 600 pN also emerged (shown in Fig. 2a), hinting at a second, weaker unfolding pathway (excluded from Fig. 1f).
Table 1.
Plasmid | AddgeneID |
---|---|
pET28a-SdrG_N2N3-HIS-ybbr | 101238 |
pET28a-ClfB_N2N3-HIS-ybbr | 101717 |
pET28a-SdrG_N2N3-B1-B2-HIS-ybbr | 117979 |
pET28a-SdrG_N2N3-B1-HIS-ybbr | 117980 |
pET28a-MGGG-ybbr-HIS-SdrG_B1-DK | 117981 |
pET28a-MGGG-ybbr-HIS-SdrG_B2-DK | 117982 |
pET28a-MGGG-ybbr-HIS-SdrD_B1-DK | 117983 |
Ca2+-binding sites govern the mechanostability of SdrG B1
A crystal structure of the SdrG B1 domain is not available to date. Fortunately, a homolog’s (SdrD from Staphylococcus aureus) B1 domain structure (PDB 4JDZ, alignment see Supplementary Fig. 1) had been determined previously26. Homology models of SdrG B1 and B2 could be constructed and were equilibrated using QwikMD configured NAMD molecular dynamics simulation27–29. Notably, the B domain adopts an Immunoglobulin (Ig)-like fold containing exclusively ß-strands (Fig. 1c). Furthermore, each B domains coordinates three calcium ions, which were numbered as displayed in Fig. 1b and Fig. 3a. Calcium one to three (Ca1–Ca3) are coordinated mostly via negatively charged side chains. Ca1 is enclosed in a loop, Ca2 lies more solvent exposed and closer to Ca3, which is coordinated by two aspartic acids on the N- and C-terminal ß-strands that close the fold (see Figs. 3a, b).
The presence of calcium is relevant for both folding and stability of many protein domains30. Thus, to remove Ca2+ ions from the domain, buffers were exchanged introducing a high concentration of the chelating agent ethylenediaminetetraacetic acid (EDTA), which binds divalent ions. When probed in 10 mM EDTA, the stability of SdrG B1 dramatically decreased, and the previously described weak unfolding event ~ 600 pN appeared exclusively (a set of representative force extension curves is shown in Supplementary Fig. 2, for contour length diagram alignments see Supplementary Fig. 3). The SdrG:Fgß interaction remained unaffected by EDTA, despite its Ca2+-binding loop. When using citric acid – a more physiological, but milder chelating agent – instead of EDTA, the same weak state emerged (Supplementary Fig. 4), although even at 100 mM citric acid ~ 40% of domains still unfolded from the strong state. As the contour length increment of the weak state remained unchanged compared to the strong unfolding, the B1 domain was still folded in EDTA. The depletion of calcium switched it into a mechanically weaker state, yet it was unclear how many Ca2+ were chelated from SdrG B1. The strong state with unfolding events exclusively around 2 nN, was recovered after returning to 10 mM Ca2+ (example traces shown in Fig. 2a). This calcium induced stability switching could be repeated for multiple cycles, as shown in Fig. 2b. After EDTA chelation, applying high concentrations of Mg2+ did not change SdrG B1 weak state unfolding behavior. Even at 18 mM, Mg2+ was unable to occupy the Ca2+ coordination sites (see Supplementary Fig. 5). The dynamic force spectra for both weak and strong states, shown in Fig. 2c, were determined with a single cantilever. Notably, the dependency of the most probable rupture force on the natural logarithm of the force loading rate in the BE model is almost parallel for both states (strong state: ∆x = 0.083 nm, koff0 = 2.8E–17 s−1, weak state ∆x = 0.071 nm, koff0 = 0.011 s−1), reflected in similar distances to the transition state ∆x (within ~ 17% of each other), whereas the large difference in unfolding force is given through the zero force off-rates koff0, which differ by >14 orders of magnitude.
After they had been exposed to EDTA, inducing the weak state, SdrG B1 domains were returned to Ca2+-free buffers (25 mM TRIS, 75 mM NaCl, pH 7.4) and found mostly in the strong state. This puzzling contradiction of Ca2+-dependent folding could be explained by trace amounts of contaminating Ca2+ in the buffer, estimated to be in the nM range (manufacturer’s specifications, see Methods). Thus, the affinity of SdrG B1 for Ca2+ must be extremely high. Moving to higher purity Ca2+-free reagents (see Methods), a trace Ca2+ concentration low enough to keep the domains in the weak state was achieved. Previously, the Ca2+-dependent folding and thus Ca2+ affinity of homologous B domains from S. aureus SdrD had been measured21,31. As our AFM experiments could clearly discern between the strong Ca2+ saturated and weak, Ca2+-depleted state, we titrated the amount of Ca2+ to estimate the affinity of the weak state SdrG B1 domain for Ca2+ by plotting the fraction of strong to weak state events against Ca2+ concentration. The inflection point was below 1 nM, within our conservative estimate of Ca2+ concentration uncertainty, hinting at a sub-nM KD for Ca2+ (Figs. 2d, e).
Incapacitating Ca2+-binding sites lowers SdrG B1 stability
Clearly, the addition of EDTA, i.e., the removal of Ca2+, weakened the B1 domain. However, we could not discern if all, or only a fraction of the three Ca2+ ions were removed. To determine how and which Ca2+ ions were crucial to the stability, mutants lacking the amino acids required to coordinate each Ca2+ were produced (hereafter Ca1KO, Ca2KO, Ca3KO, respectively), shown in Figs. 3a, b. To map the interplay between the loops, additionally all permutations of mutants with two Ca2+ sites deleted, leaving only a single Ca2+ bound, were created (Ca1,2KO; Ca2,3KO; Ca1,3KO, overview in Supplementary Fig. 1b). All mutants were probed in a single AFM-SMFS experiment using the same cantilever in both 10 mM EDTA and 10 mM Ca2+, to compare absolute stabilities25,32.
Results are shown in Fig. 3c (detailed distributions in Supplementary Fig. 6): Ca1 is coordinated by the largest number of negatively charged amino acids side chains (Fig. 3a), which intuitively would make it the most important, and a likely candidate to stay bound in chelating conditions. Interestingly, the Ca1KO mutant was only half as strong compared with the WT in Ca2+. Ca2KO was only ~ 10% weaker than the WT in Ca2+. For both Ca1KO, Ca2KO the weak state in EDTA remained at WT strength. Ca3KO showed the most drastic change both in Ca2+ and EDTA, as unfolding forces dropped by an order of magnitude. When incapacitating two Ca2+-binding sites at a time (Fig. 3d) Ca1,2KO behaved similar to the Ca1KO mutant, hinting that Ca2 could still be occupied by a Ca2+ ion as it interacts with parts of the peptide backbone and an aspartic acid of Ca3. These contacts might be sufficient for coordination (see detailed coordination sites in Supplementary Fig. 7). Ca1,3KO and Ca2,3KO were drastically weaker than the WT, comparable to Ca3KO. The removal of a conserved glutamine bridge (Ca1QKO) between Ca1 and Ca3 only led to a minor decrease in domain strength.
In summary, Ca3 is most crucial for overall B domain stability, essential to establishing the 600 pN weak state, and most likely stays bound in the presence of EDTA. Adding Ca2 increases the stability to over 1 nN, whereas adding Ca1 boosts it to over 2 nN. Even in very dilute Ca2+, well below the KD in the titration series, we never observed more than a handful of events in a force range comparable to Ca1KO and Ca2KO (see Fig. 2d). Instead, SdrG B1 immediately occupied the strongest state. Thus, we propose that binding of Ca1 and Ca2 must be highly cooperative.
Homologous B domains show similar unfolding forces
SdrG contains a second B domain (B2), whose sequence is 45% identical to B1 (alignment, see Supplementary Fig. 1). An equilibrated homology model is shown in Fig. 4a. The crystalized SdrD B1 domain, shown equilibrated in Fig. 4b, was investigated, too. When measured in 10 mM Ca2+, SdrG B2 and SdrD B1 showed a similar, 2 nN stability. However, in EDTA a weak unfolding event with their expected contour length appeared only rarely. Most curves contained no discernible unfolding peak (above our detection limit around 20 pN), hinting at a complete unfolding of the domains, a marked difference from to the mere weakening of SdrG B1. The Ca2+-EDTA switching, for SdrD B1 (Fig. 4c) thus resulted in very few weak events detected in EDTA, which showed a bimodal unfolding force distribution that was described well by a superposition of two BE fits (Eq. 1, Fig. 4c).
Given their highly similar structure, this result was unexpected. Subtle differences in B domains must give them diverging properties. When comparing all three domains, further differences emerged: the Ca2+ affinity of SdrD B1 was slightly lower than for SdrG B1 and lowest for SdrG B2 (fraction of all curves with folded domain, i.e., strong and weak in low Ca2+: SdrG B1 ~ 87%, SdrD B1 ~ 80%, SdrG B2 ~ 33%, Fig. 4d). Intriguingly, SdrG B1 and adjacent B2 have clearly separated regimes at which they switch to their strongest state. A comparison of the absolute mechanostabilities of SdrG B1, SdrG B2, and SdrD B1 was conducted with a single cantilever25, using ClfB as a handle. The results are depicted in Fig. 4e. SdrD B1 and SdrG B2 exhibit bimodal unfolding force distributions in the weak state. The strong states of these domains are also bimodal in low (~ 50 nM) Ca2+ concentrations (not shown here, see Supplementary Fig. 8), hinting at a separable, stepwise binding of Ca2+. In saturating 10 mM Ca2+ conditions, all domains have a unimodal unfolding force distribution, with SdrD B1 being the strongest, followed by 4% weaker SdrG B2, and 8% weaker SdrG B1. Although SdrG B2 has a lower affinity for Ca2+ than SdrG B1 it is clearly stronger, demonstrating that B domain Ca2+ affinity is not correlated with its mechanostability.
Discussion
Why have B domains evolved these exceptional mechanical stabilities? Their extreme mechanostability may be rationalized in context of the ligand-binding region, which they connect to the bacterium. In the case of SdrG, the mechanical stability of the interaction between the N2 and N3 domains binding their Fgß target is independent of the B domains, as they can be deleted from the construct without lowering the interaction rupture force9. Contrary to DLL adhesins, recently studied thioester domain (TED) adhesins attach to their human targets through a covalent isopeptide bond33–35. Covalent bonds are mechanically stronger and irreversible compared with the non-covalent, spontaneously reversible, DLL attachment (KD for SdrG N2N3:Fgß ~ 400 nM)5. Isopeptide bonds are covalent amide bonds between amino-acid side chains that stabilize a fold, or connect two proteins. TEDs and collagen-binding MSCRAMMs are linked by Ig-like and Ca2+ coordinating folds such the Spy0128 pilus of S. pyogenes, which contain intramolecular isopeptide bonds36,37. These block the mechanical extension of Spy012838. Notably, another Ig-like domain from S. pyogenens fibronectin binding protein (fba2) follows a remarkably similar fold to the B domains here (structural alignment in Supplementary Fig. 9). Their most striking difference is that fba2 is stabilized by the isopeptide bond locking the N and C-terminal ß-sheet together. The SpyTag/Catcher covalent labeling system was derived from this system39. In SdrG B1 and its homologs, the coordinated Ca2+ ions are covering these strands and give the domain extraordinary mechanostability. The rigidity of B regions, especially those containing isopeptide bonds, such as the collagen adhesin Cna of S. aureus40, has been proposed to project the ligand-binding region away from the bacterial surface toward the host37,41,42, which could also be a function of the B domains investigated here. Isopeptides, as covalent bonds, are stronger than the B domain fold, making them completely resistant to unfolding, ultimately resulting in a stiff, rigid stalk. In contrast, B domains can un- and refold. Both systems achieve high mechanical stability, however, they differ in what is best addressed as malleability. SdrG B domains can act as a “mechanical shock dissipater” under tension, as previously proposed for pili domains by Echelman et al.23. Domains unfold to buffer transient stress, e.g., caused by shear flow, on the ligand-binding region at the tip and regenerate when tension recedes.
At physiological Ca2+ concentrations (free Ca2+ ions in human blood on the order of 1 mM43) at least SdrG B1 would be found almost exclusively in its strong state. However, the mechanical stabilities of the strongest state of SdrG B1 and B2 are on the order of the interaction of the SdrG N2N3 domains with fibrinogen. Sometimes the interaction is not sufficient to unfold the B domain at force loading rates around 104 pN s−1 – in clear conflict with the proposed shock dissipater by unfolding hypothesis. The BE fits (see Supplementary Fig. 10) show that the SdrG B1 domain’s unfolding force dependency on the force loading rate has a less steep slope than the SdrG adhesin. Extrapolating from this range, the B domains would reliably be weaker than the N2N3 receptor–ligand interaction at higher force loading rates exceeding 106 pN s−1. In this range, at least SdrG B1 could fulfill a shock dissipater function. One could speculate that SdrG B1 only unfolds when rapid changes in load are stressing the SdrG adhesin, while letting slow changes in force act on the tip adhesin, thus acting as a low-pass filter for stress: a strong-and-sudden load dissipater.
Many MSCRAMM adhesins contain more than one B domain (e.g., SdrD has five B domains in total). Previous work suggested that these have different individual Ca2+ affinities21,31. In the case of SdrG B1 and B2 have comparable unfolding forces, yet different Ca2+ affinities, despite 45% sequence identity and high similarity in the Ca2+ binding sites. Different B domains in the same adhesin thus may have specifically tuned functions. The varied Ca2+ affinities may control their mechanical strength, ensuring that one domain is preferentially in the weak, while another one occupies the strong or an intermediate state, as in the case of SdrD B1 and SdrG B2, whose intermediate state strengths would be ideal to dissipate stress.
The mechanism that governs these extreme mechanical unfolding forces is clearly dependent on the presence of Ca2+. The coordination of Ca3, connecting the parallel very N and C-terminal, closing ß-strands (see Fig. 3a in blue and red), is most crucial to overall B domain mechanostability. The molecular mechanism governing the comparable unbinding forces of the tip adhesin of SdrG N2N3:Fgß relies on the confined alignment of the backbone hydrogens bonds (H bonds) between the target peptide and the enclosing locking strand in a shear geometry9. Analogously, one could propose that such an H bond-based mechanism stabilizes B domains. Indeed, the equilibration simulations show only few H bond contacts between the N and C-terminal ß strands, with most of them at the very C-terminus, below the Ca1 loop site. This geometry may change upon force application, but the mechanism that gives B domains their exceptional mechanostability most likely differs from SdrG:Fgß, in that the Ca2+ electrostatically protects the H bonds from breaking and locks them in a shear geometry. Alternatively, the coordination of Ca2+ ions may serve as a network though which forces propagate, diverting the load from the closing N- and C-terminal ß-sheets.
B domains are the mechanically strongest proteins examined to date, surpassing the stability of previously probed folds by at least a factor of two. B domains draw their stability from the coordination of Ca2+ ions, which are in some cases required for their refolding process. B domain Ca2+-dependent force resilience offers a blueprint to design extremely stable biomaterials with adjustable force response. In particular, SdrD B1 and SdrG B2 domain folding is tunable: from completely unfolded in EDTA, through a weak state in low Ca2+ unfolding around 500–800 pN, to over 2 nN strong in high Ca2+. Each state can be induced through a Ca2+/EDTA stimulus, respectively. Such properties may be fundamentally interesting as protein folding models that do not require aggressive denaturants to unfold, and more practically useful, e.g., in a stimuli-responsive protein hydrogel44,45. A network of B domains could withstand extreme forces when contracted and folded in Ca2+ but change into a flexible, extended polypeptide mesh when exposed to a Ca2+-chelating agent. Furthermore, SdrG B2 and SdrD B1 may be used for Ca2+ sensing, as their folding upon Ca2+ binding could be read out by monitoring FRET of dyes attached at their N- and C-termini.
Finally, the role of B domains in pathogen adhesion remains debatable. Roles such as extendable springs that stretch and contract, or a shock dissipater have been suggested41,46. However, the high SdrG B domain unfolding forces overlap with their respective receptor ligand unbinding at physiological Ca2+ concentrations and force loading rates around 104 pN s−1, which prevent them from being reliable load dissipaters in this range. The weak state is ideally suited for this task, and at higher force loading rates, so are the strong states. It remains to be examined how B domains interact with each other46, respond to constant forces or low force loading rates, as well as changes in pH, temperature or ionic strength, and what force the B domains exert when folding in the presence of Ca2+. The calcium-dependent, ultrahigh mechanical stability of the B domain fold demonstrates to which extreme physical regimes pathogens evolved to invade their hosts.
Methods
Chemicals
All chemicals used were supplied by Carl Roth (Karlsruhe, Germany) or Sigma-Aldrich (St. Louis, MO, USA) if not specified explicitly.
Gene construction
The Dictyostelium discoideum 4th filamin fingerprint domain (ddFLN4, UniProt: P13466, residues 549–649, with the internal cysteine mutated to serine), the Staphylococcus epidermidis SdrG N2N3, B1, and B2 domain genes (UniProt: Q9KI13), the Staphylococcus aureus ClfB N2 and N3 domains (UniProt: Q7A382); the SdrD B1 domain (from PDB 4JDZ with incomplete sequence, complete sequence in GenBank: WP_000934487 or obsolete UniProt entry: E5QTK7) were synthesized codon-optimized for expression in Escherichia Coli as linear DNA fragments (GeneArt – ThermoFisher Scientific, Regensburg, Germany) including suitable overhangs for Gibson assembly. Genes were inserted into pET28a Vectors with a hexahistidine-, ybbr-tag and in some cases a sortase motif via Gibson assembly 47 (New England Biolabs, MA, USA). All point mutations, deletions, or additions of amino acids in all systems were created through polymerase chain reactions (Phusion Polymerase, New England Biolabs, MA, USA) with appropriate primers and finally blunt end ligation cloning using T4 Ligase (Thermo Scientific, MA, USA). Resulting open reading frames of all constructs were verified by DNA sequencing (Eurofins Genomics, Ebersberg, Germany). All protein sequences of constructs used in this study are listed in the Supplementary Information.
Important plasmids were deposited with Addgene (www.addgene.org) and are available through the following AddgeneIDs:
Protein expression and purification
All proteins were expressed in E. Coli NiCo21(DE3) (New England Biolabs, MA, USA). Bacterial starter cultures of 5 mL Lysogeny broth (LB) medium containing 50 μg mL−1 Kanamycin, were inoculated and grown overnight at 37 °C. These were added into in 100–200 mL of ZYM-5052 autoinduction media48 containing 100 μg mL−1 Kanamycin and grown for 6 h at 37 °C and cooled down, continuing overnight at 18 °C. For small-scale protein production, 8 mL cultures in ZYM-5052 autoinduction media were grown at 37 °C overnight. Bacteria were harvested by centrifugation at 8000 g, the supernatant was discarded, pellets were stored at −80 °C until purification.
All purification steps were performed at 4–8 °C. The bacterial pellet was resuspended in lysis buffer (50 mM TRIS, 50 mM NaCl, 5 mM MgCl2, 0.1% (v/v) Tween-20, 10% (v/v) glycerol, pH 8.0) with 100 µg mL−1 lysozyme (Carl Roth, Karlsruhe, Germany). Cells were lysed by sonication (Sonoplus GM 70, with a microtip MS 73, Bandelin, Berlin, Germany). Insoluble parts were separated by centrifugation at > 40,000 g for at least 30 min. The supernatant was sterile filtered (0.45 µm, then 0.22 µm pore size), adjusted to contain 20 mM imidazole, and then loaded onto a Ni-NTA column (HisTrap FF 5 mL on a Äkta Start system, both GE Healthcare, MA, USA) for HIS-Tag purification and washed extensively (25 mM TRIS, 500 mM NaCl, 20 mM imidazole, 0.25% (v/v) Tween-20, 10% (v/v) glycerol, pH 7.4). The protein was eluted in the same buffer, only different in containing 200 mM imidazole and being at pH 7.8. Protein containing fractions were concentrated in centrifugal filters (Amicon, Merck, Darmstadt, Germany), exchanged into measurement buffer (TBS: 25 mM Tris, 75 mM NaCl, pH 7.4) by desalting columns (Zeba, Thermo Scientific, MA, USA), adjusted to 10% (v/v) glycerol, and frozen in aliquots in liquid nitrogen to be stored at −80 °C until thawed for experiments. Protein concentrations were determined by spectrophotometry at 280 nm with typical final concentrations of 30–1000 μM (NanoDrop 1000, Thermo Scientific, MA, USA).
AFM sample preparation
More detailed AFM-SMFS protocol have been published previously16,49. In brief, AFM Cantilevers (Biolever Mini AC40TS, Olympus, Tokyo, Japan) and 24 mM diameter cover glass surfaces (Menzel Gläser, Braunschweig, Germany) were modified with Aminosilane.
Glass surfaces: Glass surfaces were cleaned by sonication in 50% (v/v) 2-propanol in ultrapure H20 for 10 min, rinsed with ultrapure H20, and further cleaned and oxidized in 50% (v/v) H202 and 50% (v/v) of 30% (v/v) sulfuric acid for 20 min. Surfaces were washed in ultrapure H20, then ethanol. Surfaces were silanized by soaking in a solution of: 2% (v/v) (3-aminopropyl) dimethylethoxysilane (ABCR, Karlsruhe, Germany), 88% (v/v) ethanol, and 10% (v/v) ultrapure H20 under gentle shaking for 1 h. Again, followed by two rinsing steps in ethanol, then rinsed in ultrapure H20, and afterwards dried in a gentle stream of nitrogen. Finally, surfaces were baked at 80 °C for 45 min. Glass surfaces were stored under Argon and typically used within 1 month.
Cantilevers: Following 15 min of UV-Ozone cleaning (UVOH 150 LAB, FHR Anlagenbau GmbH, Ottendorf-Okrilla, Germany), cantilevers were silanized, submerged in 1 mL (3-aminopropyl)-dimethylethoxysilane (APDMES, abcr, Karlsruhe, Germany) mixed with 1 mL ethanol and 5 µL ultrapure H20 for 5 min. Each cantilever was rinsed in ethanol and subsequently in ultrapure H20. Finally, cantilevers were baked at 80 °C for 1 h to be stored overnight under Argon and used in the following steps the next day.
Both glass surfaces and cantilevers were covered with 5 kDa heterobifunctional ɑ-Maleinimidohexanoic-PEG-NHS (Rapp Polymere, Tübingen, Germany) dissolved in 50 mM HEPES (pH 7.5) at 25 mM (125 mg mL−1) for 30 min. After rinsing surfaces and cantilevers in ultrapure water, 1 mM coenzyme A (in 50 mM sodium phosphate pH 7.2, 50 mM NaCl, 10 mM EDTA buffer) was applied to both for at least 1 h. CoA functionalized surfaces and cantilevers stored in coupling buffer (50 mM sodium phosphate pH 7.2, 50 mM NaCl, 10 mM EDTA buffer) at 4 °C were stable for >4 weeks.
When different protein constructs were compared with a single cantilever, up to 10 spatially separated spots were created using a silicone mask (CultureWell reusable gaskets, Grace Bio-Labs, Bend, OR, USA), cleaned by sonication in isopropanol and ultrapure H20, dried in a gentle stream of nitrogen, heated to 60 °C and securely pressed onto a silanized microscopy slide (76 × 26 mM, Carl Roth, Karlsruhe Germany). Pegylation and CoA coupling in individual wells was achieved following identically to the protocol described above25.
These steps yielded cantilevers and surfaces covalently coated in PEG-CoA. Cantilevers and surfaces were rinsed in ultrapure water. Protein functionalization was achieved by covalently pulling down proteins via their ybbr-tag to CoA by the SFP enzyme coupling. The proteins of interest were diluted into TBS150 (25 mM Tris, 150 mM NaCl, pH 7.4) supplemented with 10 mM MgCl2. Cantilevers were typically incubated with 50 μM of protein of interest and 3 μM Sfp phosphopantetheinyl transferase (SFP) for at least 1 h. The glass surfaces were incubated with 5–15 μM of protein construct of interest and 1–2 μM SFP for 30–60 min, depending on the desired surface density. Both samples were rinsed extensively with at least 60 mL measurement buffer (TBS75: 25 mM Tris, 75 mM NaCl, pH 7.4) buffer before experiments.
AFM-SMFS
AFM-SMFS data were acquired on a custom-built AFM operated in closed loop by a MFP3D controller (Asylum Research, Santa Barbara, CA, USA) programmed in Igor Pro 6 (Wavemetrics, OR, USA). Experiments were conducted at room temperature (approximately 25 ˚C). Cantilevers were briefly (<200 ms) and gently (<200 pN) brought in contact with the functionalized surface and then retracted at constant velocities ranging from 0.4, 0.8, 1.6, 3.2 to 6.4 µm s−1 for a dynamic force spectrum, otherwise and for titration experiments a standard velocity of 1.6 µm s−1 was used. After each curve acquired, the glass surface was moved horizontally by at least 100 nm to expose an unused, fresh surface spot. Typically, 50,000 – 100,000 curves were recorded per experiment. When quantitative comparisons of absolute forces were required, a single cantilever was used to move between multiple spatially separated spots to be probed on the same surface (created using the protocol described above). To calibrate cantilevers, the inverse optical cantilever sensitivity (InvOLS) was determined as the linear slope of the most probable value of typically 40 hard (>2000 pN) indentation curves. Cantilevers spring constants were calculated using the equipartition theorem method with typical spring constants between 70–160 pN nm−150,51. A full list of calibrated spring constants from experiments presented in this work is provided in the supplementary methods, as the stiffness of the pulling handle, i.e., the cantilever, may influence the complex rupture and domain unfolding forces measured.
Calcium titration experiments
Buffer made from ultrapure water (resistivity 18.2 MΩ cm, arium pro, Sartorius, Goettingen, Germany), TRIS and NaCl (both Carl Roth, Karlsruhe, Germany) contained too much Ca2+ to reliably measure Ca2+ binding (Ca2+-free buffer from ultrapure water already showed over 50% of SdrG B1 domains in strong, Ca2+-bound state, even though the sample had been Ca2+ depleted with at least 10 mM EDTA before). Instead, water (Ultra Quality HN68.2, Carl Roth, Karlsruhe, Germany) containing ≤10 ppt Ca2+ (≤10 parts per trillion, i.e., ≤10E–12 kg kg−1, or ≤10E–9 g L−1, which computes to ≤0.250 nM for a Ca2+ ion) according to the manufacturer was used. Buffering was achieved by dissolving a Ca2+-free PBS tablet (Thermo Fisher Scientific, MA, USA). B domains immobilized on the surface were Ca2+ depleted with at least 10 mM EDTA and after repeated rinsing in Ultra Quality Ca2+-free PBS, the titration was started. For each concentration, thousands of curves were acquired, before the surface was rinsed with the next Ca2+ concentration. As the discerning between strong and week state should not depend on cantilever stiffness, multiple experiment data using identical buffers were pooled to build statistics.
SMFS data analysis
Data analysis was carried out in Python 2.7 (Python Software Foundation)52–54. Laser spot drift on the cantilever relative to the calibration curve was corrected via the baseline noise (determined as the last 5% of datapoints in each curve) for all curves and smoothed with a moving median (windowsize 300 curves). The InvOLS for each curve was corrected relative to the InvOLS value of the calibration curve.
Raw data were transformed from photodiode and piezo voltages into physical units with the cantilever calibration values: The piezo sensitivity, the InvOLS (scaled with the drift correction) and the cantilever spring constant (k).
The last rupture peak of every curve was coarsely detected and the subsequent 15 nm of the baseline force signal were averaged and used to determine the curve baseline, which was then set to zero force. The origin of molecule extension was then set as the first and closest point to zero force. A correction for cantilever bending, to convert extension data in the position of the cantilever tip was applied. Bending was determined through the forces measured and was used on all extension datapoints (x) by correcting with their corresponding force datapoint (F) as xcorr = x – F/k.
To detect unfolding or unbinding peaks, data were denoised with total variation denoising (raw, not denoised, data shown in plots)55,56, and rupture events detected as significant drops in force relative to the baseline noise. A three-regime polymer elasticity model by Livadaru et al.57 was used to model the behavior of contour lengths freed by unfolding events and transformed into contour length space 58 (Livadaru model parameters were: stiff element b = 0.11 nm and bond angle γ = 41°). A quantum mechanical correction was used to account for peptide bond stretching at high forces 59. Especially at forces larger than 1 nN, this correction was essential to be able to fit the data to polymer elasticity models accurately. Peaks were assigned their contour length in diagrams assembled through Kernel Density Estimates (KDE) of the contour length transformed force-extension data. The KDE bandwidth was chosen as 1 nm. The loading rate was fitted as the linear slope of force vs. time of the last 4 nm preceding a peak.
For single BE model at a given force loading rate r (determined as most probable loading rate from all unfolding events through a KDE) with the parameters Δx and koff,0, the probability density p(F, r, Δx, koff,0) to unfold at a given force F was fit to a normalized force histogram. For a superposition of two BE fits as in Fig. 4, the unfolding force histogram was fit with Eq. 1:
1 |
Force loading rates r1 and r2 were assigned at a force fcritical at the minimum value of ptotal between the maxima of both BE fits and then assigned to BE1 and BE2, as force loading rate and unfolding force correlate in a constant velocity experiment. The relative weight of each distribution was q for BE1 and (1 – q) for BE2 with 0 < q < 1.
For dynamic force, spectra rupture force histograms for the respective peaks and dynamic force spectra were assembled from all curves showing B domain unfolding, or (if applicable) a specific fingerprint domain, and/or a clean complex rupture event. The most probable loading rate of all complex rupture or domain unfolding events was determined with a KDE, bandwidth chosen through the Silverman estimator60. This value was used to fit the unfolding or rupture force histograms with the BE model for each pulling velocity61,62. Errors in all diagrams are given as the asymmetric full-width at half maximum (FWHM) of each probability distribution. A final fit was performed through the most probable rupture forces and loading rates for each pulling velocity to determine the distance to the transition state Δx0 and natural off-rate at zero force koff0.
Homology models and simulations
Homology models for the SdrG B1, SdrG B2 domain, and SdrG N2N3-B1-B2 construct were created using Modeller 9.1963,64. Template file for the B domains was PDB 4JDZ (SdrD B1 domain) and for the SdrG N2N3-B1-B2 construct PDB 1R17 (SdrG N2N3) was added.
Model structures were equilibrated in water using the NAMD28 molecular dynamics package with setups created by VMD65 plugin QwikMD27. The CHARMM3666 force field and TIP367 water model were used in all simulations. Structures were centered in a water box 15 Angstrom larger than the protein’s longest dimension, NaCl was added to 150 mM. Minimization (2000 steps), then Annealing (0.29 ns, temperature rise 60 K to 300 K, 1 atm pressure, protein backbone restrained), then equilibration (1 ns, temperature 300 K, 1 atm pressure, protein backbone restrained), then MD simulation (temperature 300 K, 1 atm pressure, no restraints) were performed in the NpT ensemble. Final simulations were run for at least 100 ns for individual B domains and at least 30 ns for SdrG N2N3-B1-B2.
Simulation parameters were: a distance cut-off of 12.0 Å was applied to short-range, non-bonded interactions, and 10.0 Å for the smothering functions. Long-range electrostatic interactions were treated using the particle-mesh Ewald68 method. The pressure was maintained at 1 atm using Nosé-Hoover Langevin piston69,70. The equations of motion were integrated using the reversible reference system propagator algorithm (r-RESPA) multiple time step scheme to update the short-range interactions every 1 steps and long-range electrostatics interactions every 2 steps. The time step of integration was chosen to be 2 fs for all simulations. The temperature was maintained at 300 K using Langevin dynamics.
Electronic supplementary material
Acknowledgements
We gratefully acknowledge funding from the Deutsche Forschungsgemeinschaft DFG (SFB1032, GA309/11). We thank Ellis Durner, Markus A. Jobst, Wolfgang Ott, and Tobias Verdorfer for work on instrumentation and/or surface chemistry; Rafael C. Bernardi for pointers concerning modeling.
Author contributions
H.E.G. and L.F.M. designed the research. T.N. cloned and expressed constructs, and prepared surface chemistry reagents. E.M.U. and L.F.M performed and analyzed experiments. H.E.G. and L.F.M. wrote the manuscript.
Data availability
Data supporting the findings of this manuscript are available from the corresponding authors upon reasonable request. A reporting summary for this article is available as a Supplementary Information file. The source data underlying Figs. 1e, f, 2b-e, 3c, d, and 4c–e are provided as a Source Data file.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Lukas F. Milles, Email: lukas.milles@physik.uni-muenchen.de
Hermann E. Gaub, Email: gaub@lmu.de
Electronic supplementary material
Supplementary Information accompanies this paper at 10.1038/s41467-018-07145-6.
References
- 1.Foster TJ, Geoghegan JA, Ganesh VK, Höök M. Adhesion, invasion and evasion: the many functions of the surface proteins of Staphylococcus aureus. Nat. Rev. Microbiol. 2013;12:49–62. doi: 10.1038/nrmicro3161. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Geoghegan Joan A., Dufrêne Yves F. Mechanomicrobiology: How Mechanical Forces Activate Staphylococcus aureus Adhesion. Trends in Microbiology. 2018;26(8):645–648. doi: 10.1016/j.tim.2018.05.004. [DOI] [PubMed] [Google Scholar]
- 3.Schwarz-Linek U, et al. Pathogenic bacteria attach to human fibronectin through a tandem beta-zipper. Nature. 2003;423:177–181. doi: 10.1038/nature01589. [DOI] [PubMed] [Google Scholar]
- 4.Ganesh VK, et al. Structural and biochemical characterization of Staphylococcus aureus clumping factor B/ligand interactions. J. Biol. Chem. 2011;286:25963–25972. doi: 10.1074/jbc.M110.217414. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Ponnuraj K, et al. A “dock, lock, and latch” structural model for a Staphylococcal adhesin binding to fibrinogen. Cell. 2003;115:217–228. doi: 10.1016/S0092-8674(03)00809-2. [DOI] [PubMed] [Google Scholar]
- 6.Bowden MG, et al. Evidence for the ‘dock, lock, and latch’ ligand binding mechanism of the staphylococcal microbial surface component recognizing adhesive matrix molecules (MSCRAMM) SdrG. J. Biol. Chem. 2008;283:638–647. doi: 10.1074/jbc.M706252200. [DOI] [PubMed] [Google Scholar]
- 7.Herman P, et al. The binding force of the staphylococcal adhesin SdrG is remarkably strong. Mol. Microbiol. 2014;93:356–368. doi: 10.1111/mmi.12663. [DOI] [PubMed] [Google Scholar]
- 8.Vanzieleghem T, Herman-Bausier P, Dufrene YF, Mahillon J. Staphylococcus epidermidis affinity for fibrinogen-coated surfaces correlates with the abundance of the SdrG adhesin on the cell surface. Langmuir. 2015;31:4713–4721. doi: 10.1021/acs.langmuir.5b00360. [DOI] [PubMed] [Google Scholar]
- 9.Milles LF, Schulten K, Gaub HE, Bernardi RC. Molecular mechanism of extreme mechanostability in a pathogen adhesin. Sci. (80-.). 2018;359:1527–1533. doi: 10.1126/science.aar2094. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Prystopiuk Valeria, Feuillie Cécile, Herman-Bausier Philippe, Viela Felipe, Alsteens David, Pietrocola Giampiero, Speziale Pietro, Dufrêne Yves F. Mechanical Forces Guiding Staphylococcus aureus Cellular Invasion. ACS Nano. 2018;12(4):3609–3622. doi: 10.1021/acsnano.8b00716. [DOI] [PubMed] [Google Scholar]
- 11.Herman-Bausier Philippe, Labate Cristina, Towell Aisling M., Derclaye Sylvie, Geoghegan Joan A., Dufrêne Yves F. Staphylococcus aureusclumping factor A is a force-sensitive molecular switch that activates bacterial adhesion. Proceedings of the National Academy of Sciences. 2018;115(21):5564–5569. doi: 10.1073/pnas.1718104115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Vitry P, et al. Force-induced strengthening of the interaction between Staphylococcus aureus clumping factor B and loricrin. mBio. 2017;8:e01748–17. doi: 10.1128/mBio.01748-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Grandbois M. How strong is a covalent bond? Sci. (80-.). 1999;283:1727–1730. doi: 10.1126/science.283.5408.1727. [DOI] [PubMed] [Google Scholar]
- 14.Matsuoka E, et al. Crystal structure of the functional region of Uro-adherence factor A from Staphylococcus saprophyticus reveals participation of the B domain in ligand binding. Protein Sci. 2011;20:406–416. doi: 10.1002/pro.573. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Hendrickx APa, Budzik JM, Oh SY, Schneewind O. Architects at the bacterial surface - sortases and the assembly of pili with isopeptide bonds. Nat. Rev. Microbiol. 2011;9:166–176. doi: 10.1038/nrmicro2520. [DOI] [PubMed] [Google Scholar]
- 16.Ott Wolfgang, Jobst Markus A., Schoeler Constantin, Gaub Hermann E., Nash Michael A. Single-molecule force spectroscopy on polyproteins and receptor–ligand complexes: The current toolbox. Journal of Structural Biology. 2017;197(1):3–12. doi: 10.1016/j.jsb.2016.02.011. [DOI] [PubMed] [Google Scholar]
- 17.Geoghegan JA, Foster TJ, Speziale P, Dufrêne YF. Live-cell nanoscopy in antiadhesion therapy. Trends Microbiol. 2017;25:512–514. doi: 10.1016/j.tim.2017.04.002. [DOI] [PubMed] [Google Scholar]
- 18.Müller DJ, Dufrêne YF. Atomic force microscopy as a multifunctional molecular toolbox in nanobiotechnology. Nat. Nanotechnol. 2008;3:261–269. doi: 10.1038/nnano.2008.100. [DOI] [PubMed] [Google Scholar]
- 19.Yu H, Siewny MGW, Edwards DT, Sanders AW, Perkins TT. Hidden dynamics in the unfolding of individual bacteriorhodopsin proteins. Sci. (80-.). 2017;355:945–950. doi: 10.1126/science.aah7124. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Höök M, et al. The serine-aspartate repeat (Sdr) protein family in Staphylococcus epidermidis. Microbiology. 2000;146:1535–1546. doi: 10.1099/00221287-146-7-1535. [DOI] [PubMed] [Google Scholar]
- 21.Josefsson E, O’Connell D, Foster TJ, Durussel I, Cox JA. The binding of calcium to the B-repeat segment of SdrD, a cell surface protein of Staphylococcus aureus. J. Biol. Chem. 1998;273:31145–31152. doi: 10.1074/jbc.273.47.31145. [DOI] [PubMed] [Google Scholar]
- 22.Josefsson E, et al. Three new members of the serine-aspartate repeat protein multigene family of Staphylococcus aureus. Microbiology. 1998;144:3387–3395. doi: 10.1099/00221287-144-12-3387. [DOI] [PubMed] [Google Scholar]
- 23.Echelman DJ, et al. CnaA domains in bacterial pili are efficient dissipaters of large mechanical shocks. Proc. Natl. Acad. Sci. 2016;113:2490–2495. doi: 10.1073/pnas.1522946113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Valbuena A, et al. On the remarkable mechanostability of scaffoldins and the mechanical clamp motif. Proc. Natl. Acad. Sci. 2009;106:13791–13796. doi: 10.1073/pnas.0813093106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Verdorfer T, et al. Combining in vitro and in silico single-molecule force spectroscopy to characterize and tune cellulosomal scaffoldin mechanics. J. Am. Chem. Soc. 2017;139:17841–17852. doi: 10.1021/jacs.7b07574. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Wang X, Ge J, Liu B, Hu Y, Yang M. Structures of SdrD from Staphylococcus aureus reveal the molecular mechanism of how the cell surface receptors recognize their ligands. Protein Cell. 2013;4:277–285. doi: 10.1007/s13238-013-3009-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Ribeiro JV, et al. QwikMD — integrative molecular dynamics toolkit for novices and experts. Sci. Rep. 2016;6:26536. doi: 10.1038/srep26536. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Phillips JC, et al. Scalable molecular dynamics with NAMD. J. Comput. Chem. 2005;26:1781–1802. doi: 10.1002/jcc.20289. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Lu H, et al. Unfolding of titin immunoglobulin domains by steered molecular dynamics simulation. Biophys. J. 1998;75:662–671. doi: 10.1016/S0006-3495(98)77556-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Stigler J, Ziegler F, Gieseke A, Gebhardt JCM, Rief M. The complex folding network of single calmodulin molecules. Sci. (80-.). 2011;334:512–516. doi: 10.1126/science.1207598. [DOI] [PubMed] [Google Scholar]
- 31.Roman AY, et al. Sequential binding of calcium ions to the B-repeat domain of SdrD from Staphylococcus aureus. Can. J. Microbiol. 2016;62:123–129. doi: 10.1139/cjm-2015-0580. [DOI] [PubMed] [Google Scholar]
- 32.Otten M, et al. From genes to protein mechanics on a chip. Nat. Methods. 2014;11:1127–1130. doi: 10.1038/nmeth.3099. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Walden M, et al. An internal thioester in a pathogen surface protein mediates covalent host binding. eLife. 2015;4:1–24. doi: 10.7554/eLife.06638. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Linke-Winnebeck C, et al. Structural model for covalent adhesion of the Streptococcus pyogenes pilus through a thioester bond. J. Biol. Chem. 2014;289:177–189. doi: 10.1074/jbc.M113.523761. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Echelman DJ, Lee AQ, Fernández JM. Mechanical forces regulate the reactivity of a thioester bond in a bacterial adhesin. J. Biol. Chem. 2017;M117:777466. doi: 10.1074/jbc.M117.777466. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Kang HJ, Coulibaly F, Clow F, Proft T, Baker EN. Stabilizing isopeptide bonds revealed in Gram-positive bacterial pilus structure. Sci. (80-.). 2007;318:1625–1628. doi: 10.1126/science.1145806. [DOI] [PubMed] [Google Scholar]
- 37.Kang HJ, Baker EN. Intramolecular isopeptide bonds: protein crosslinks built for stress? Trends Biochem. Sci. 2011;36:229–237. doi: 10.1016/j.tibs.2010.09.007. [DOI] [PubMed] [Google Scholar]
- 38.Alegre-Cebollada J, Badilla CL, Fernández JM. Isopeptide bonds block the mechanical extension of pili in pathogenic Streptococcus pyogenes. J. Biol. Chem. 2010;285:11235–11242. doi: 10.1074/jbc.M110.102962. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Zakeri B, et al. Peptide tag forming a rapid covalent bond to a protein, through engineering a bacterial adhesin. Proc. Natl. Acad. Sci. USA. 2012;109:E690–E697. doi: 10.1073/pnas.1115485109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Zong Y, et al. A ‘Collagen Hug’ model for Staphylococcus aureus CNA binding to collagen. EMBO J. 2005;24:4224–4236. doi: 10.1038/sj.emboj.7600888. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Deivanayagam CCS, et al. Novel fold and assembly of the repetitive B region of the Staphylococcus aureus collagen-binding surface protein. Structure. 2000;8:67–78. doi: 10.1016/S0969-2126(00)00081-2. [DOI] [PubMed] [Google Scholar]
- 42.Herman-Bausier P, et al. Mechanical strength and inhibition of the Staphylococcus aureus collagen-binding protein Cna. mBio. 2016;7:e01529–16. doi: 10.1128/mBio.01529-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Moore EW. Ionized calcium in normal serum, ultrafiltrates, and whole blood determined by ion-exchange electrodes. J. Clin. Invest. 1970;49:318–334. doi: 10.1172/JCI106241. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Fang J, et al. Forced protein unfolding leads to highly elastic and tough protein hydrogels. Nat. Commun. 2013;4:2974. doi: 10.1038/ncomms3974. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Lv S, et al. Designed biomaterials to mimic the mechanical properties of muscles. Nature. 2010;465:69–73. doi: 10.1038/nature09024. [DOI] [PubMed] [Google Scholar]
- 46.Beulin Jemima, D. S., Ponnuraj K. Steered molecular dynamics study reveals insights into the function of the repetitive B region of collagen- and fibrinogen-binding MSCRAMMs. J. Biomol. Struct. Dyn. 2016;1102:1–45. doi: 10.1080/07391102.2016.1152566. [DOI] [PubMed] [Google Scholar]
- 47.Gibson DG, et al. Enzymatic assembly of DNA molecules up to several hundred kilobases. Nat. Methods. 2009;6:343–345. doi: 10.1038/nmeth.1318. [DOI] [PubMed] [Google Scholar]
- 48.Studier FW. Protein production by auto-induction in high-density shaking cultures. Protein Expr. Purif. 2005;41:207–234. doi: 10.1016/j.pep.2005.01.016. [DOI] [PubMed] [Google Scholar]
- 49.Jobst, M. A., Schoeler, C., Malinowska, K. & Nash, M. A. Investigating receptor-ligand systems of the cellulosome with AFM-based single-molecule force spectroscopy. J. Vis. Exp.82, e50950 (2013). [DOI] [PMC free article] [PubMed]
- 50.Hutter JL, Bechhoefer J. Calibration of atomic-force microscope tips. Rev. Sci. Instrum. 1993;64:1868–1873. doi: 10.1063/1.1143970. [DOI] [Google Scholar]
- 51.Butt H -J, Jaschke M. Calculation of thermal noise in atomic force microscopy. Nanotechnology. 1995;6(1):1–7. doi: 10.1088/0957-4484/6/1/001. [DOI] [Google Scholar]
- 52.Hunter JD. Matplotlib: a 2D graphics environment. Comput. Sci. Eng. 2007;9:90–95. doi: 10.1109/MCSE.2007.55. [DOI] [Google Scholar]
- 53.Pedregosa F, et al. Scikit-learn: machine learning in Python. J. Mach. Learn. Res. 2011;12:2825–2830. [Google Scholar]
- 54.van der Walt S, Colbert SC, Varoquaux G. The NumPy array: a structure for efficient numerical computation. Comput. Sci. Eng. 2011;13:22–30. doi: 10.1109/MCSE.2011.37. [DOI] [Google Scholar]
- 55.Condat L. A direct algorithm for 1-D total variation denoising. IEEE Signal Process. Lett. 2013;20:1054–1057. doi: 10.1109/LSP.2013.2278339. [DOI] [Google Scholar]
- 56.Rudin L, Osher S, Fatemi E. Nonlinear total variation based noise removal algorithms. Phys. D. Nonlinear Phenom. 1992;60:259–268. doi: 10.1016/0167-2789(92)90242-F. [DOI] [Google Scholar]
- 57.Livadaru L, Netz RR, Kreuzer HJ. Stretching response of discrete semiflexible polymers. Macromolecules. 2003;36:3732–3744. doi: 10.1021/ma020751g. [DOI] [Google Scholar]
- 58.Puchner EM, Franzen G, Gautel M, Gaub HE. Comparing proteins by their unfolding pattern. Biophys. J. 2008;95:426–434. doi: 10.1529/biophysj.108.129999. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Hugel T, Rief M, Seitz M, Gaub H, Netz R. Highly stretched single polymers: atomic-force-microscope experiments versus Ab-Initio theory. Phys. Rev. Lett. 2005;94:048301. doi: 10.1103/PhysRevLett.94.048301. [DOI] [PubMed] [Google Scholar]
- 60.Silverman B. Density estimation for statistics and data analysis. Monogr. Stat. Appl. Probab. 1986;37:1–22. [Google Scholar]
- 61.Izrailev S, Stepaniants S, Balsera M, Oono Y, Schulten K. Molecular dynamics study of unbinding of the avidin-biotin complex. Biophys. J. 1997;72:1568–1581. doi: 10.1016/S0006-3495(97)78804-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Evans E, Ritchie K. Dynamic strength of molecular adhesion bonds. Biophys. J. 1997;72:1541–1555. doi: 10.1016/S0006-3495(97)78802-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Šali A, Blundell TL. Comparative protein modelling by satisfaction of spatial restraints. J. Mol. Biol. 1993;234:779–815. doi: 10.1006/jmbi.1993.1626. [DOI] [PubMed] [Google Scholar]
- 64.Webb B, Sali A. Comparative protein structure modeling using MODELLER. Curr. Protoc. Bioinforma. 2014;47:5.6.1–5.6.32. doi: 10.1002/0471250953.bi0506s47. [DOI] [PubMed] [Google Scholar]
- 65.Humphrey W, Dalke A, Schulten K. VMD: visual molecular dynamics. J. Mol. Graph. 1996;14:33–38. doi: 10.1016/0263-7855(96)00018-5. [DOI] [PubMed] [Google Scholar]
- 66.Best RB, et al. Optimization of the additive CHARMM all-atom protein force field targeting improved sampling of the backbone phi, psi and side-chain chi(1) and chi(2) dihedral angles. J. Chem. Theory Comput. 2012;8:3257–3273. doi: 10.1021/ct300400x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Jorgensen WL, Chandrasekhar J, Madura JD, Impey RW, Klein ML. Comparison of simple potential functions for simulating liquid water. J. Chem. Phys. 1983;79:926. doi: 10.1063/1.445869. [DOI] [Google Scholar]
- 68.Darden T, York D, Pedersen L. Particle mesh Ewald: an N⋅log(N) method for Ewald sums in large systems. J. Chem. Phys. 1993;98:10089. doi: 10.1063/1.464397. [DOI] [Google Scholar]
- 69.Feller SE, Zhang Y, Pastor RW, Brooks BR. Constant pressure molecular dynamics simulation: the Langevin piston method. J. Chem. Phys. 1995;103:4613–4621. doi: 10.1063/1.470648. [DOI] [Google Scholar]
- 70.Martyna GJ, Tobias DJ, Klein ML. Constant pressure molecular dynamics algorithms. J. Chem. Phys. 1994;101:4177–4189. doi: 10.1063/1.467468. [DOI] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Data supporting the findings of this manuscript are available from the corresponding authors upon reasonable request. A reporting summary for this article is available as a Supplementary Information file. The source data underlying Figs. 1e, f, 2b-e, 3c, d, and 4c–e are provided as a Source Data file.