Abstract
Many bacterial pathogens express small G5 domains that exist in the context of various membrane‐anchored proteins and these G5 domains have been associated with colonization, cellular adhesion, and biofilm formation. However, despite over a decade since the computational prediction of these G5 domains, many remain uncharacterized, particularly those from Streptococcus pneumoniae. Of five previously predicted G5 domains we found that four of these, all derived from S. pneumoniae, are independently folded modules. As one of these exhibits extreme line broadening due to self‐association, we were able to use NMR solution studies to probe the potential ligand interactions of the remaining three G5 domains. None of these G5 domains engage N‐acetylglucosamine (NAG) as previously predicted but do interact with other small molecules that may modulate adherence to both bacteria and host cells. Specifically, while all G5 domains tested engage Zn, only one of these G5 domains engage heparin. NMR solution structural studies of the IgA1 Protease G5 (IgA1P‐G5) and endo‐beta‐N‐acetylglucosaminidase‐D G5 (ENDD‐G5) also facilitated identification of the ligand binding sites and confirm the typical G5 fold that comprises two connected β‐sheets with no canonical core. NMR relaxation experiments indicate flexibility on both ends and within the connecting regions between the β‐sheets. Our studies thus establish a basis for future biological experiments to test whether the ligands presented here are involved in bacterial adherence, either to bacteria or to host cells.
Keywords: adherence, colinization, G5 domain, streptococcal pneumoniae
Short abstract
1. INTRODUCTION
Infectious bacterial pathogens rely on mechanisms of adherence for subsequent colonization and for biofilm formation.1 Beyond the obvious implications for blocking such adherence to block infection, biofilms have become a growing problem in hospitals where they serve as natural reservoirs for many infectious pathogens and in particular have become a systemic problem with the advent of medical devices.2 For example, infections, and particularly recurring infections, are attributed to biofilm formation in patients with Streptococcus pneumoniae (S. pneumoniae) that become resistant to antimicrobial agents.3 S. pneumoniae is the primary cause of community‐acquired pneumonia in both the United States and Europe4, 5 and remains the leading cause of pneumonia and meningitis in children worldwide.6 Thus, understanding the early events that lead to colonization and biofilm formation may have wide implications for preventing this infection.
Many bacterial pathogens, such as S. pneumoniae, comprise numerous small modules called G5 domains implicated in cellular adhesion, colonization, and biofilm formation.7 G5 domains were initially grouped based on the presence of five conserved glycine residues (G5) and were proposed to target N‐acetylglucosamine (NAG) on the cell wall of neighboring bacteria and within glycosaminoglycans on host cells.7 G5 domains generally exist within the context of large membrane‐anchored proteins on the bacterial surface and may exist as single domains or highly similar repeats. Several G5 domains from S. epidermidis and S. aureus have been shown to self‐associate in a Zn‐dependent manner, thereby expanding the repertoire of G5 interactions.8, 9 However, these G5 domains are found within large tandem arrays of 5–17 repeats and little is known about those G5 domains that exist within just a single copy. For S. pneumoniae, there are five different membrane‐anchored proteins that contain G5 domains, four of which comprise only one copy and are under investigation here (Figure 1a). While the NMR solution structure of the other S. pneumoniae protein comprising two tandem copies was solved several years ago, no specific interaction was tested.10
Here, we sought to characterize the single copy, membrane‐anchored G5 domains initially identified from the original G5 bioinformatics study that include four potential S. pneumoniae G5 domains and one from vancomycin resistant Enteroccoccus faecium.7, 11 Our results indicate that the G5 domain from vancomycin resistant Enteroccoccus faecium is not competent in folding, however, the remaining four G5 modules derived from S. pneumoniae proteins are independently‐folded modules. Interestingly, none of the folded S. pneumoniae G5 modules specifically engage NAG, as previously predicted, but do exhibit a range of small molecule interactions. Thus, our studies indicate that G5 domains cannot be broadly defined as NAG binding modules and that the specific interactions of each G5 domain are unique.
2. RESULTS
2.1. Single copy G5 domains from S. pneumoniae are well‐folded
Based on the previous bioinformatics identification of G5 domains by Bateman et al.,7 we expressed a total of five G5 domains that were predicted to be single copy modules within the context of larger membrane‐anchored proteins. Four of these G5 domains are derived from S. pneumoniae G5 modules (Figure 1a) and include the IgA1 Protease (IgA1P‐G5), endo‐beta‐N‐acetylglucosaminidase‐D (ENDD‐G5), beta‐galactosidase (BGAA‐G5), and S. pneumoniae collagen‐like protein (SPR1403‐G5). The fifth G5 module expressed in this study is derived from Enteroccoccus faecium,11 which is a vancomycin‐resistant bacteria (VanW‐G5). The sequence comparison of all 5 G5 domains are shown here (Figure 1b). All five G5 domains were initially expressed as soluble polypeptides and were 15N‐labeled in order to assess their chemical shift dispersion using 15N‐heteronuclear single quantum coherence (HSQC) spectra.
As G5 modules exhibit a uniquely conserved β‐strand structure with a surprising absence of a canonical core,9, 12, 13 these domains are predicted to exhibit broad chemical shift dispersion due to the predominance of β‐sheets, as shown for the two tandem G5 domains in StrH.10 Indeed, all four S. pneumoniae G5 domains exhibit broad chemical shift dispersion (Figure 1c‐f), although SPR1403‐G5 exhibits similar dispersion only at elevated temperatures (further described below). However, the VanW‐G5 exhibits a very narrow dispersion indicative of an unfolded protein (Figure 1g).
As the S. pneumoniae G5 domains give rise to well dispersed 15N‐HSQC spectra and several G5 domains from other bacteria exhibit metal‐dependent self‐association,8, 9 we questioned whether these modules could self‐associate even in the absence of ligands. SPR1403‐G5 is especially prone to self‐association and only gives rise to a well dispersed 15N‐HSQC at elevated temperatures (Figure S1a), while IgA1P‐G5 and BGAA‐G5 only moderately self‐associate, as indicated by concentration‐dependent chemical shifts (Figure S1b,c). In contrast, ENDD‐G5 exhibits no such concentration‐dependent shifts, suggestive of no self‐association (Figure S1d). The resonance assignments and structural elucidation of IgA1P‐G5 facilitates identification of those residues involved in its moderate self‐association, which are largely confined to one region of this module (Figure S1e,f).
2.2. S. pneumoniae G5 modules exhibit both similarities and differences in their solution structures
Given that all four G5 modules exhibit NMR spectra that are suggestive of folded domains, we further interrogated the high‐resolution solution structure of two of the four G5 modules in order to confirm their typical G5 folds. We chose to further investigate IgA1P‐G5, considering IgA1 proteases are in general critical virulence factors,14 and ENDD‐G5, which shows no concentration‐dependent self‐association (Figure S1). Structure calculations included both chemical shifts and long‐distance NOE distance restraints that were utilized in RASREC CS‐Rosetta, which resulted in two β‐sheets and the absence of a conical core (Figure 2a, Tables 1, 2). The overall architecture of these domains is typical of G5 modules with two distinct β‐sheets formed by three strands that each comprise an N‐terminal and C‐terminal β‐strand with the third strand woven within the center of the first and second. However, there are differences within the sizes of these secondary structure elements, as the β‐sheet near the N‐terminus is larger within the IgA1P‐G5 (Figure 2b), while the β‐sheet near the C‐terminus is larger within ENDD‐G5 (Figure 2c). Both intervening regions between the two β‐sheets are similar in regard to their lengths that each comprise 3–4 residues.
Table 1.
No. of residues | 84 |
NOE distance restraints | 472 |
Avg violation per structure | 37±3 |
Avg violation distance(Å) | 0.59±0.04 |
Intra‐residue | 133 |
Medium‐range (|i‐j|<4) | 206 |
Long‐range (|i‐j|>5) | 133 |
Average rmsd (residues 7‐84) | |
Backbone (Å) | 1.14±0.44 |
Heavy atom (Å) | 1.57±0.49 |
Ramachandran plot summary (%) | |
Most favored regions | 87.0 |
Allowed regions | 12.6 |
Generously allowed regions | 0.4 |
Disallowed regions | 0.0 |
Table 2.
No. of residues | 81 |
NOE distance restraints | 361 |
Avg violation per structure | 35±3 |
Avg violation distance(å) | 0.55±0.07 |
Intra‐residue | 97 |
medium‐range (|i‐j|<4) | 150 |
long‐range (|i‐j|>5) | 114 |
average rmsd (residues 7‐81) | |
backbone (Å) | 1.65±0.65 |
heavy atom (Å) | 2.15±0.65 |
Ramachandran plot summary (%) | |
most favored regions | 87.5 |
allowed regions | 12.5 |
generously allowed regions | 0.0 |
disallowed regions | 0.0 |
2.3. S. pneumoniae G5 modules exhibit localized dynamics
To address the potential similarities and differences between G5 domain dynamics, we collected standard R1 relaxation rates, R2 relaxation rates, and heteronuclear NOEs for both IgA1P‐G5 (Figure 3a) and ENDD‐G5 (Figure 3b). While all of these rates are sensitive to the overall tumbling of the molecule, their individual rates are sensitive measures of local dynamics as well. For example, R1 relaxation rates and heteronuclear NOEs monitor ps–ns motions while R2 relaxation rates are sensitive to both ps–ns and μs–ms motions. For IgA1P‐G5, average R1 relaxation rates are 1.46 ± 0.16 Hz, R2 relaxation rates are 14.64 ± 3.54 Hz, and heteronuclear NOEs are 0.74 ± 0.19. For ENDD‐G5, average R1 relaxation rates are 1.63 ± 0.2 Hz, R2 relaxation rates are 9.32 ± 1.91 Hz, and heteronuclear NOEs are 0.67 ± 0.12. All three data sets were also collected for the IgA1P‐G5 at a lower concentration, in order to distinguish potential differences in relaxation due to intermolecular interactions rather than internal dynamics, which suggest that intermolecular interactions do not contribute (Figure S2).
Relaxation data indicate that regions at both ends of the G5 domains are inherently flexible on multiple timescales with at least several residues within the connecting regions between the two β‐sheets also exhibiting slower timescale motions. Specifically, for R2 relaxation rates, high rates are indicative of localized μs–ms timescale motions from chemical exchange while, in contrast, lower rates such as those within the N‐termini of both G5 domains are due to elevated ps–ns timescale motions. Considering that R1 relaxation rates and heteronuclear NOEs report on ps–ns motions (see below), we focused first on slower motions that contribute to higher R2 relaxation rates. These elevated R2 relaxation rates include IgA1P‐G5 Y10, D30, and residues 57–58 and ENDD‐G5 Q7, residues 30–34, G42, and 61–64 (Figure 3, top panels). Most of these residues reside in loop regions that either include the termini of both G5 domains or are adjacent to these termini. However, ENDD‐G5 G42 is located within the connecting region of the two β‐sheets and IgA1P‐G5 residues 41–42 were the only amides within both G5 domains that we were unable to assign, potentially suggestive of chemical exchange. For ps–ns motions, we utilized R1 relaxation rates and heteronuclear NOEs as a proxy for localized motions. We note further in the Discussion that many of the slow R1 relaxation rates observed are likely due to locally elevated ps–ns motions based on the relatively small size of these G5 domains that places them close to the extreme narrowing limit (as opposed to larger proteins where faster R1 relaxation rates would be synonymous with elevated ps–ns motions). Slow R1 relaxation rates and small heteronuclear NOEs indicate the existence of localized ps–ns dynamic regions at predominantly loop regions that cap the ends of both G5 domains (Figure 3a,b middle panels). As the IgA1P‐G5 does weakly self‐associate (Figure S1), R2 relaxation rates, R1 relaxation rates, and heteronuclear NOEs were also collected at a lower concentration for IgA1P‐G5 (Figure S2), which are similar to those described in the main text.
Additionally, the R2/R1 ratio can be used for proteins within the extreme narrowing limit to estimate local correlation times predictive of internal dynamics,15 which highlights several regions that comprise exchange contributions (μs–ms motions). Several of these residues are highlighted for both G5 domains and mapped onto the NMR structures, which identifies several additional residues within the connecting region between the two β‐sheets.
2.4. S. pneumoniae G5 modules selectively bind ligands but not NAG
The recombinant production of S. pneumoniae G5 domains facilitates the direct assessment of whether they bind specific ligands previously proposed. We exploited the high sensitivity of NMR to identify the S. pneumoniae G5 interactions of the two modules that do not self‐associate (ENDD‐G5 and BGAA‐G5) and the one that self‐associates only weakly (IgA1P‐G5). Because resonances were assigned for both IgA1P‐G5 and ENDD‐G5 for a full structure and dynamics characterization above, we were also able to identify the specific sites by chemical shift perturbation (CSP) analysis, but we used the unassigned spectrum of BGAA‐G5 to also determine whether ligands specifically engage this G5 domain.
No CSPs were observed within any of the three G5 domains when NAG was titrated at stoichiometric concentrations (Figure 4a), which was surprising considering that NAG was proposed to be the primary target of G5 modules.7 Additional titrations with the cell wall component choline and purified cell wall polysaccharides also did not induce any CSPs within any of these G5 modules (data not shown). However, as host cell glycosaminaoglycans (GAGs) are potential targets for bacterial cell adhesion and form gradients in the extracellular matrix,16 we also tested whether these G5 domains bind a highly expressed representative GAG member, heparin. Indeed, heparin does induce CSPs for IgA1P‐G5 (Figure 4b, top panel) and binds weakly, with a dissociation constant (Kd) of 0.64 ± 0.043 mM (Figure 4d), although heparin did not induce CSPs for either ENDD‐G5 and BGAA [Figure 4b, middle and bottom panels]. In contrast, Zn induces CSPs for all tested G5 domains (Figure 4c, S3b–e), although the relative affinities extracted from binding isotherms differ. For example, Zn binds the IgA1P‐G5 with a Kd of 9.5 ± 2.2 mM (Figure 4e), which is an order of magnitude weaker than it binds to BGAA‐G5 with a Kd of 1.2 ± 0.38 mM (Figure 4f). Zn binding to ENDD‐G5 is on the slow timescale whereby peaks disappear and reappear elsewhere (Figure 4c middle, S3). This indicates that Zn binding is at least somewhat tighter for ENDD‐G5. In fact, considering that Zn induces largescale changes to the chemical environment of its entire spectrum (Figure S3), these findings may reflect multiple Zn binding sites or could be due to induction of oligomeric species. However, ENDD‐G5 binding to Zn is concentration‐dependent, as the migratory behavior of ENDD‐G5 does not significantly change in the presence of Zn (Figure S4), suggesting that its tight interactions only occur at the higher concentrations used for NMR studies. Similar results have been found for G5 repeats derived from S. epidermidis. For example, although the specific affinity to Zn was not quantified, millimolar concentrations of Zn were necessary to induce dimer formation for these former G5 repeats (3.7–5.4 mM), which depended on the exact repeat.8 Despite this concentration dependence, Zn did specifically bind these G5 repeats and was observed within the X‐ray crystal structure to induce anti‐parallel G5 structures.
As both heparin and Zn induce, specific CSPs to IgA1P‐G5 that could be followed with our resonance assignments, these site‐specific changes were mapped onto our NMR solution structures (Figure 4d,e). Both heparin and Zn binding induce similar CSPs to IgA1P‐G5, which suggests that both ligands engage the same β‐sheet and may even have overlapping binding sites.
3. DISCUSSION
We have experimentally confirmed that four previously proposed S. pneumoniae G5 modules are folded,7 however, the previously proposed G5 module from a vancomycin‐resistant bacteria is not competent in folding. From the four folded S. pneumoniae G5 modules, SPR1403‐G5 was the only module that exhibited marked self‐association based on the observation of extreme line‐broadening. The remaining three S. pneumoniae G5 domains exhibit little to no self‐association, which include IgA1P‐G5, BGAA‐G5, and ENDD‐G5. Considering that these three S. pneumoniae G5 modules give rise to high‐quality NMR spectra, we utilized NMR to probe their ligand interactions previously proposed.7
The most surprising result from this study is that none of the three S. pneumoniae G5 domains tested engage NAG, which has been proposed to be a general G5 ligand.7 In contrast, all three G5 domains do engage Zn, which is consistent with Staphylococcus G5 containing proteins, Aap and SasG that comprise a dozen G5 repeats and oligomerize through specific Zn interactions.8, 9 While these Staphylococcus G5 repeats engage Zn with higher affinities than the S. pneumoniae G5 affinities, their multimeric structure may enhance their affinities. Zn‐mediated adherence is a viable means of modulating bacterial self‐association, as host infection increases Zn concentrations in order to stimulate the host cytokine immune response and thus, bacteria may have evolved to exploit such a response for adhesion and/or biofilm formation.17 Finally, the IgA1P‐G5 was the only G5 module to be identified as a heparin interacting module. Although the IgA1P‐G5 binding site for both heparin and Zn are located within the same region, as identified by CSPs, the coordination of these very different ligands is likely driven by different interactions (Figure 5). For example, IgA1P‐G5 does not actually comprise five glycine residues for which “G5 domain” was initially ascribed. Instead, IgA1P‐G5 comprises K58 in place of one of the glycine residues (Figure 1b), which defines the heparin binding site. The term, extracellular polymeric substance (EPS), has been used to broadly encompass substances utilized by bacteria for biofilm formation and heparin has been proposed to mimic extracellular DNA that is a component of the EPS.18 However, heparin itself may have a function in biofilm formation that is likely complicated and context dependent. For example, heparin induces cell–cell interactions in Staphylococcus aureus through the induction of an unknown signaling cascade and not necessarily direct involvement.19 Thus, it remains a possibility that in some cases G5 modules may comprise receptor complexes that mediate these signaling events to in turn modulate cell–cell interactions or they may play a direct role in other cases. Finally, it is important to address the biological importance of the relatively weak affinities for both Zn and heparin interactions quantified here for these G5 domains. Specifically, the initial events of Streptococcus adherence to both surfaces and host cells are known to be relatively weak and facilitate a highly dynamic attachment and dissociation. For example, the initiating weak events of attachment have been proposed to be a collection of multiple weak interactions that may then be followed by more specific interactions that include lectins.1 Our direct assessment of S. pneumoniae G5 interactions here sets a foundation for further biological experiments to test the role of these ligands in cellular interactions and biofilm formation.
Considering the discrete formation of two β‐sheets within G5 domains, we sought to understand whether there was any evidence that could be extracted from relaxation data to indicate flexibility between the two sheets. For example, while R1 relaxation and heteronuclear NOEs are sensitive to ps–ns motions; slower conformational dynamics, that lead to chemical exchange, contribute to an increase in R2 relaxation. Indeed, several residues within the linker regions exhibit locally elevated R2 relaxation rates, which suggests that there are conformational dynamics within this region. Due to the small size of these G5 modules, locally dynamic regions within the faster ps–ns timescale are likely within the “extreme narrowing limit” where ωoτc < 1, τc is the correlation time, and ωo the spectrometer frequency. Specifically, we can determine this product by estimating τc from R2/R1 ratios using a simple approximation.15 For IgA1P‐G5 we obtain 9.8 and 8.6 ns at 1 and 0.5 mM, respectively, and for ENDD‐G5 we obtain 7.1 ns, indicating that IgA1P‐G5 self‐association also slows tumbling relative to ENDD‐G5 that does not self‐associate (Figure S1). Nonetheless, as the product of the spectrometer frequency and correlation time (ωoτc = 2pi*600 MHz*7–10 ns) is only slightly above the extreme narrowing limit for both G5 domains, some of these more flexible regions likely fall below due to the localized nature of dynamics. Thus, slower R1 relaxation rates are expected for such locally dynamic regions.
Cellular adherence is likely complicated and these G5 domains may be directly involved in biofilm formation and/or cellular adherence to epithelial cells. Our studies here provide a foundation for now testing whether these identified ligands are involved at multiple stages of bacterial adherence.
4. MATERIALS AND METHODS
4.1. Protein expression and purification
Codon optimized pJ401K (T5 regulation) protein expression plasmids were purchased from DNA2.0 (www.ATUM.bio). Each G5 domain comprised an N‐terminal 6xHis‐tag, a thrombin cleavage site, and the ORF (Figure 1b), as previously described.7 A total of five ORFs were included: the IgA1 Protease (IgA1P‐G5), endo‐beta‐N‐acetylglucosaminidase‐D (ENDD‐G5), beta‐galactosidase (BGAA‐G5), S. pneumoniae collagen‐like protein (SPR1403‐G5) and an Enteroccoccus faecium vancomycin‐resistant gene (VanW‐G5). Labeled proteins were grown in M9 minimal media (6 g/L Na2HPO4, 3 g/L KH2PO4, 0.5 g/L NaCl, 1 g/L NH4Cl, 2 g/L glucose, 2 mL of 1 M MgSO4 100 mL of 1 M NaCl CaCl2, 10 mg/L thiamine) in E. Coli BL21/DE3 cells in the presence of 50 μg/mL kanamycin supplemented with either 15N ammonium chloride or both 15N ammonium chloride and 13C glucose. All growths were conducted at 37°C. For a typical growth of 2 L, cells were harvested by sonication and soluble protein applied to Ni‐affinity resin (Sigma) using Ni buffer (50 mM Na2HPO4, pH 7.5, 500 mM NaCl, 10 mM imidazole). Fractions eluted with Ni buffer B (Ni buffer A supplemented with 400 mM imidazole) were dialyzed against MES buffer (50 mM MES, 150 mM NaCl). Dialysis buffer was changed two times before concentrating, the 6xHis tag removed at room temperature overnight, and then applied to a Superdex‐75 (GE Healthcare Life Sciences) equilibrated in the same MES buffer. The G5 domain fractions were further concentrated using Amicon centrifuge filters (3 kDa MWCO) and stored at −80°C until needed. For analytical studies of ENDD‐G5, 10 μL of a 1.7 μM stock of ENDD‐G5 was applied to a 3 mL Zenix SEC‐100 colunn (4.6 × 300 mM) was used with 20 mM Tris, pH 7.5, 150 mM NaCl in the absence and presence of 5 mM Zn.
4.2. NMR chemical shift assignments, structure determination, and NMR titrations
For structure determination, standard assignment methods were employed on 13C,15N‐labeled samples in order to determine the resonance assignments. These include HNCACB, CBCA(co)NH, C(co)NH for backbone assignments and HCCH‐TOCSY experiments for side chains. All assignment data for IgA1P‐G5 were collected on a Varian 600 MHz spectrometer equipped with a cryo‐probe and assignment data for ENDD‐G5 were collected on a Bruker 800 at the High Magnetic Field Laboratory (NHMFL) also equipped with a cryo‐probe. Chemical shifts are deposited in the BMRB for both IgA1P‐G5 (accession number 27839) and ENDD‐G5 (accession number 27850). 13C‐ and 15N‐NOESY experiments were all collected on a Varian 900 MHz spectrometer equipped with a cryo‐probe. The completeness of assigned resonances for IgA1P‐G5 include the following: 98% of CA, 97%, CB, 95% amide nitrogen, 95% amide protons, and 68% of all protons. The completeness of assigned resonances for ENDD‐G5 include the following: 100% of CA, 100%, CB, 99% amide nitrogen, 99% amide protons, and 67% of all protons.
Chemical shifts together with NOEs were used for structure determination using Resolution Adapted Structural RECombination (RASREC) in CS‐Rosetta software,20 as we have previously described.21 Structural coordinates are deposited in the RCSB for both IgA1P‐G5 (PDB accession number 6OH1) and ENDD‐G5 (PDB accession number 60HF). For titrations, pure choline was purchased from Sigma‐Aldrich (catalogue number C7017), NAG purchased from Sigma‐Aldrich (catalogue number A8625), Pneumococcal Cell Wall Polysacharides from Statens Serum Institut Diganostica (catalogue number 3459), and heparin from Sigma‐Aldrich (catalogue number 9041‐08‐1). G5 domains were collected at 300 μM with indicated concentrations of each ligand. For heparin titrated into IgA1P‐G5, 0.4, 0.8, 1.6, and 3.2 mM was used. For Zn titrated into IgA1P‐G5, 2, 5, 10, and 20 mM was used. For BGAA‐G5, 0.5, 1, 2, and 5 mM was used. For ENDD‐G5 that exhibited slow exchange, 150 and 300 μM was used. All reported CSPs were calculated as the square root of the sum of squares for both proton and nitrogen shifts with the former normalized by a factor of five (CSP = )). GraphPad software was used to simultaneously fit all CSP data in order to provide a single Kd and its associated uncertainty.
Supporting information
ACKNOWLEDGMENTS
EZE was supported by NSF application number 1807326. The National High Magnetic Field Laboratory is supported by National Science Foundation through NSF/DMR‐1644779 and the State of Florida.
Paukovich N, Redzic JS, Chi Y‐C, et al. Streptococcus pneumoniae G5 domains bind different ligands. Protein Science. 2019;28:1797–1805. 10.1002/pro.3693
Funding information Division of Materials Research, Grant/Award Number: 1644779; National Science Foundation, Grant/Award Number: 1807326
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