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. 2018 Oct 27;27(12):2037–2050. doi: 10.1002/pro.3510

Biophysical insights into a highly selective l‐arginine‐binding lipoprotein of a pathogenic treponeme

Ranjit K Deka 1, Wei Z Liu 1, Shih‐Chia Tso 2, Michael V Norgard 1, Chad A Brautigam 1,2,
PMCID: PMC6237705  PMID: 30242931

Abstract

Biophysical and biochemical studies on the lipoproteins and other periplasmic proteins from the spirochetal species Treponema pallidum have yielded numerous insights into the functioning of the organism's peculiar membrane organization, its nutritional requirements, and intermediary metabolism. However, not all T. pallidum proteins have proven to be amenable to biophysical studies. One such recalcitrant protein is Tp0309, a putative polar‐amino‐acid‐binding protein of an ABC transporter system. To gain further information on its possible function, a homolog of the protein from the related species T. vincentii was used as a surrogate. This protein, Tv2483, was crystallized, resulting in the determination of its crystal structure at a resolution of 1.75 Å. The protein has a typical fold for a ligand‐binding protein, and a single molecule of l‐arginine was bound between its two lobes. Differential scanning fluorimetry and isothermal titration calorimetry experiments confirmed that l‐arginine bound to the protein with unusually high selectivity. However, further comparison to Tp0309 showed differences in key amino‐acid‐binding residues may impart an alternate specificity for the T. pallidum protein.

Keywords: ABC transporter, ligand‐binding protein, l‐arginine, polar amino acids, X‐ray crystallography, isothermal titration calorimetry, differential scanning fluorimetry, Treponema

Short abstract

PDB Code(s): http://firstglance.jmol.org/fg.htm?mol=6DET


Abbreviations

AUC

analytical ultracentrifugation

DLS

dynamic light scattering

DSF

differential scanning fluorimetry

GsArtJ

the ArtJ protein from Geobacillus stearothermophilus

ITC

isothermal titration calorimetry

LAO

lysine–arginine–ornithine

LBD

ligand‐binding domain

r.m.s.d.

root‐mean‐square deviations

StLAO

LAO‐binding protein from Salmonella typhimurium

SV

sedimentation velocity

Introduction

The acquisition of nutrients is a central requirement for all organisms, but one that is particularly nuanced in commensal, symbiotic, parasitic, and facultative pathogenic bacteria. These organisms must often contend with widely varying cycles of nutrient repletion and scarcity while simultaneously evading or subverting host immune surveillance. The evolutionary pressures on such bacteria are largely a product of their habitats. For example, a facultative pathogen likely harbors genes for use in its free‐living state and also those activated when infecting a host. Whereas this strategy imparts maximum flexibility, there is a metabolic cost for maintaining genes that may or may not be utilized during an organism's existence. On the other end of the spectrum, through evolution, an obligate parasitic bacterium may have jettisoned genes for certain catabolic pathways because it lives in an environment with ready supplies of given nutrients. The energetic advantage is countered by the fact that a paucity of the nutrient in the host cannot be easily countered and can lead to death of the organism.

Pathogenic bacteria often acquire essential metabolites from their environments using various transport systems to translocate the nutrient from the external milieu (i.e. the host) to the cytoplasm. One of the best characterized of such systems is the ABC transporters.1, 2 ABC transport systems typically are composed of multiple polypeptides: a ligand‐binding protein (LBP) exists outside the cytoplasm (in the periplasm of Gram‐negative bacteria or attached to the outside of Gram‐positive bacteria), tasked with binding the target nutrient; a permease that spans the cytoplasmic membrane and receives the nutrient from the LBP; and a cytoplasmic ATP‐binding protein, which provides the energy for transporting the nutrient against a free‐energy gradient by hydrolyzing ATP. ABC transporters are known for a very wide variety of ligands,2, 3, 4 including sugars, amino acids, metal ions, and polyamines.

Treponema pallidum, the obligate human spirochetal pathogen that causes syphilis, has a highly parsimonious genome, and thus lacks enzymes for the de novo synthesis of many metabolites, including most amino acids.5 This organism is not readily cultivatable, and thus the functions of many of its gene products are unknown or hypothetical. In an ongoing effort to understand the metabolic requirements of T. pallidum, we became interested in the gene product of tp0309, which putatively encodes an LBP for a polar amino‐acid transporter. Experience has shown that these annotations must be experimentally verified,6, 7 as they can be inaccurate. Efforts to produce Tp0309 for biophysical and biochemical characterization were hampered by insolubility of the protein (despite the deployment of multiple solubilization and hyper‐expression strategies). However, we noticed that the Tv2483 protein of the oral pathogen Treponema vincentii qualified as a homolog of Tp0309. We reasoned that characterization of this protein may further the understanding of Tp0309, and, ultimately, the nutritional requirements of T. pallidum.

To this end, we hyper‐expressed Tv2483 in E. coli and determined its crystal structure. Its fold and the discovery of a single molecule of l‐arginine bound to the protein prompted us to hypothesize that Tv2483 is an l‐arginine‐binding LBP. After a sequence of solution biophysics studies and structural comparisons with other l‐arginine‐binding LBPs, a view arose of Tv2483 as a highly selective LBP whose only cognate amino acid is l‐arginine. These studies offered new insights into whether Tp0309 also fulfills this function.

Results

Preparations of Tv2483 are monodisperse and yield monomeric protein in solution

Most LBPs are monomers in solution.4 However, there are a few LBPs that have higher‐order oligomeric states. These include LBPs for tripartite ATP‐independent periplasmic transporters8, 9 and for an ABC transporter for l‐arginine.10 We, therefore, performed solution studies to establish the oligomeric status of Tv2483.

Purified Tv2483 (see Experimental procedures) was subjected to dynamic light scattering (DLS) to assess the size and monodispersity of the preparation. The resulting autocorrelation function could be fitted with a cumulant analysis,11, 12 resulting in a polydispersity index of 0.09 ± 0.05 (Table S1). Fitting the data to a regularized distribution of hydrodynamic radii (R H) demonstrated that the vast majority (96 ± 2%) of the scattered‐light intensity could be accounted for by a single species with an intensity‐weighted R H of 2.87 ± 0.16 nm (Fig. 1 and Table S1). Another species was usually observed, but its size varied greatly (R H = 60 ± 30 nm); the wide variation was likely due to the small signal for this species compared with the noise value. These measurements were consistent with the notion that the Tv2483 preparation was dominated by a monomeric form of the protein.

Figure 1.

Figure 1

Hydrodynamic radius distributions of purified Tv2483. Two of the nine replicates (see Experimental procedures) are shown, with coloration as described in the inset legend. The inset graph shows peaks at higher R H values; note the scaling of the y‐axis of this inset, as these are minority species.

To help to confirm this hypothesis, we conducted analytical ultracentrifugation (AUC) experiments on Tv2483 in the sedimentation velocity (SV) mode. Three separate experiments at different concentrations (23, 7.3, and 2.3 μM) were performed. Using the c(s) methodology to analyze these data, we observed a single peak in the distributions, representing an average molar mass of 30,500 ± 600 g/mol in the main peak (at an average experimental s‐value of 2.429 ± 0.007 S; Table S1) of the resulting distribution (Fig. 2). When compared with the known molar mass of the protein construct (30,165 g/mol), these SV experiments buttress the notion that Tv2483 is a monomer in solution.

Figure 2.

Figure 2

SV‐derived c(s) distributions for purified Tv2483. The distributions have been normalized by the areas under the respective curves. The inset legend shows the concentrations used.

The crystal structure of Tv2483 reveals an l‐arginine‐binding site

Tv2483 crystallized readily, and the crystals diffracted X‐rays to a resolution of 1.75 Å (Table 1). The crystal structure was determined using molecular replacement (see Experimental procedures), revealing a single monomer of the protein in the asymmetric unit. The overall structure of the protein (Fig. 3) was bilobate; in keeping with the nomenclature for other amino‐acid‐binding proteins, we called these subdomains “Lobe I” and “Lobe II”. Lobe I (Residues 4–99; 200–246) consisted of a central, five‐stranded β‐sheet, and the order of strands in the sheet was β2–β1–β3–β5–β4 (numbered according to order in the primary structure); all of the strands were parallel except β5. There was one α‐helix near to the amino‐terminus of the protein that formed a “cap” on Lobe I; most other helices were packed onto the faces of the sheet. Lobe II (Residues 104–194) also comprised a single β‐sheet flanked by helices. The strand order in this case was β3–β2–β4–β1–β5, with β1 being the anti‐parallel strand. Again, α‐helices stacked on the faces of the sheet. Connecting the two lobes were two regions (Residues 100–103 and 195–199) that adopted the secondary structure of β‐strands.

Table 1.

Data Collection, Phasing, and Refinement Statistics

Data set Crystal I Crystal II
PDB accession no. N/A http://firstglance.jmol.org/fg.htm?mol=6DET
Data collection
Space group
C222 C222
Unit cell dimensions (Å)
a 105.0 104.6
b 131.1 130.4
c 48.2 49.0
α (°) 90 90
β (°) 90 90
γ (°) 90 90
Resolution (Å) 48.2–1.90 (1.93–1.90)a 81.60–1.75 (1.78–1.75)
Completeness (%) 99.3 (93.9) 97.8 (98.2)
Multiplicity 8.0 (5.9) 4.4 (4.5)
Unique reflections 26,530 (1,227) 33,458 (1,639)
R merge b 0.087 (0.826) 0.059 (0.742)
<I>/σ I 26.4 (2.0) 22.4 (2.0)
Wilson B (Å2) 24.5 27.0
Refinement
Resolution (Å) 42.0–1.75
No. residues 243
No. non‐solvent atoms 1944
No. solvent atoms 100
Maximum‐likelihood coordinate error (Å) 0.17
Average B‐factors
Non‐solvent (Å2) 42.1
Ligand (Å2) 32.7
Solvent (Å2) 41.6
R‐values
R work c 0.177
R free d 0.199
Ramachandran statistics
Outliers (%) 0.0
Most favored region (%) 96.7
r.m.s. deviations
Bonds (Å) 0.010
Angles (°) 0.976
a

Numbers in the parentheses are reported for the highest‐resolution shell of reflections.

b

Rmerge = ∑hkli|Ih, i − 〈Ih〉|/∑hkliIh, iwhere the outer sum (hkl) is over the unique reflections and the inner sum (i) is over the set of independent observations of each unique reflection.

c

Rwork = ∑hkl||Fo| − |Fc||/∑hkl|Fo|, where F o and F c are observed and calculated structure factor amplitudes, respectively.

d

R free is calculated using the same formula as R work, but the set hkl is a randomly selected subset (5%) of the total structure factors that are never used in refinement.

Figure 3.

Figure 3

Overall crystal structure of Tv2483. The α‐helices are colored green, the β strands purple, and the linker region orange. Regions that are visible but without regular secondary structure are colored light blue. The amino‐ (N) and carboxyl‐ (C) termini are labeled. The bound molecule of L‐arginine is shown as spheres, with carbon atoms colored yellow, nitrogens blue, and oxygens red.

The structural features described above have been observed in other LBPs. Indeed, the overall topology, including the two connecting regions between the lobes, placed the protein in “Class II” of the classification scheme of Fukami‐Kobayashi et al.13 The protein was a member of Cluster F in the more detailed taxonomy put forth by Berntsson et al.14 Notably, Cluster F proteins usually have linker regions devoid of regular secondary structure, whereas those in Tv2483 clearly are β‐strands that are hydrogen‐bonded to each other (Fig. 3).

Between the two lobes was clear electron density for a single molecule of l‐arginine [Fig. 4(a)]. The amino acid engaged both the protein lobes via a network of hydrogen bonds and putative salt bridges (Fig. 4). These interactions could be grouped into three categories: (i) hydrogen bonds/putative salt bridges from protein side chains, (ii) hydrogen bonds from the protein's main chain, and (iii) hydrophobic or stacking interactions. In the first group, the amino‐ and carboxylate moieties of l‐arginine were contacted by the presumably charged side chains of D179 and R95, respectively; the latter interaction was bidentate. Another bidentate interaction was between the guanidinium group of the l‐arginine and the carboxylate moiety of E134. The nitrogen from the indole group of W70 formed a putative hydrogen bond with the carboxylate of the l‐arginine, and the side‐chains of two serine residues (S29 and S90) also interacted with the amino acid. In the second group, main‐chain oxygen atoms of S87 and G88 apparently formed hydrogen bonds with the guanidinium group, and the main‐chain nitrogen of S90 appeared to interact with the carboxylate of the l‐arginine. The third group of contacts featured the guanidinium group and methylene moieties of the l‐arginine sandwiched between the hydrophobic side chain of W70 on one side and those of V32 and Y182 on the other.

Figure 4.

Figure 4

Details of the interaction between Tv2483 and l‐arginine. (a) Electron density for the bound l‐arginine. A kicked mF o − DF c omit map contoured at the 3‐σ level is shown superposed on the final, refined position of the l‐arginine bound to Tv2483. Colors are those established in Figure 3. (b) Contacts between Tv2483 and the bound l‐arginine. Putative hydrogen bonds or salt bridges are shown as dashed black lines. The l‐arginine is colored as in Figure 3, and the color scheme is the same for protein‐derived residues except for the carbon atoms, which are shown in green. The side chain of S87 was omitted for clarity.

Tv2483 is an l‐arginine‐specific binding protein

Because many basic‐amino‐acid‐binding proteins have multiple specificities,15, 16 we initiated studies to determine which amino acids bound to Tv2483. We first used differential scanning fluorimetry (DSF)17 to screen a panel of amino acids and other nitrogen sources for molecules besides l‐arginine that could bind to Tv2483 (Fig. 5). Although l‐arginine did clearly appear as a positive “hit” in the assay (shifting the T m of the protein by +10°C), the only other amino acid that had any effect was a nearly isosteric analog of l‐arginine, l‐citrulline.

Figure 5.

Figure 5

DSF of Tv2483 in the presence of nitrogen sources. (a) The –dF/dT traces. The red trace is that of well A8, which contains l‐arginine; the gray lines are the traces for all other wells. (b) T m shifts. On the x‐axis is the well identity, with the size of the bar indicating the magnitude of the shift in T m of the respective well compared to the water control. Well A8 is depicted in red. The wells containing l‐arginine (A8) and l‐citrulline (C10) are labeled.

Isothermal titration calorimetry (ITC) was employed to quantify the affinity of l‐arginine for Tv2483. Our initial efforts were thwarted by a lack of a heat signal in the resulting thermograms (not shown). We surmised that l‐arginine was co‐purifying with the protein, preventing a discernible signal from appearing when titrating in more l‐arginine. We attempted to remove the amino acid by a denaturation/renaturation scheme6 and by extensive dialysis, but neither approach succeeded. Taking a cue from the DSF assay, we devised a method using high concentrations of l‐citrulline to compete for binding to the protein, followed by removal of the competitor using repeated cycles of dilution and concentration. DLS and SV experiments on the resulting material established that its hydrodynamic properties were not perturbed by this protocol (Table S1 and Fig. S1). We estimated that this strategy rendered approximately 65% of the protein competent to bind to l‐arginine (see Experimental procedures).

l‐Arginine bound avidly to l‐citrulline‐treated Tv2483 [Fig. 6(a) and Table 2]. Indeed, the isotherms derived from titrations of l‐arginine into Tv2483 could not be analyzed to arrive at an accurate K D because the binding was so avid. Instead, we incorporated these isotherms into a global analysis that included titrations of l‐citrulline into Tv2483 and l‐arginine into a mixture of l‐citrulline and Tv2483.19, 20 This analysis allowed us to determine that the protein's K D for l‐arginine was 6 [2, 12] nM (we include the 68.3% confidence intervals in brackets in this work). Another result from this global analysis was the determination of the K D for l‐citrulline, which was 11.4 [10.0, 13.0] μM, i.e. almost 2000‐fold that for l‐arginine.

Figure 6.

Figure 6

ITC of Tv2483 binding to l‐arginine. (a) Isotherms for the wild‐type protein. Three isotherms of the five used in the global analysis are shown, colored according to the inset legend. In the upper graph are the isotherms, with the integrated heats depicted as markers and the results of the global fit to the data shown as lines. Residuals between the data and the fit lines are shown in the lower plot. “l‐Arg” is l‐arginine, “l‐Cit” is l‐citrulline, and “Tv” is Tv2483. (b) Isotherms for l‐arginine titrated into the mutant proteins. Conventions established in part (a) are followed here.

Table 2.

K D s of l‐Arginine Binding to Tv2483 and its Variants

Protein Ligand K D (μM) Incompetent fractiona c
Wild‐type l‐Arginine 0.006 [0.002, 0.012]b 0.350 [0.348, 0.352]c 8300d
Wild‐type l‐Citrulline 11.4 [10.0, 13.0] 0.350 [0.348, 0.352]c 1.8–4.4
Wild‐type l‐Lysine N.H.e N/A N/A
Wild‐type l‐Ornithine N.H. N/A N/A
R95A l‐Arginine 6.3 [5.9, 6.8] 0.128 [0.121, 0.136] 3.2
E134A l‐Arginine 31 [26, 37] 0.09 [0.06, 0.12] 3.2
a

Incompetent fraction is the fraction of Tv2483 that is apparently not able to bind to titrant.

b

68.3% confidence intervals determined by error‐surface projection18 are shown in square brackets.

c

Confidence intervals for these two experiments are identical because they were a shared, global parameter in a joint analysis of these data sets.

d

c is defined as [Tv2483]/K D; it is a unitless quantity.

e

N.H.: no heat of binding was observed during the titration.

We also studied the binding of l‐lysine and l‐ornithine to Tv2483. Using Tv2483 that had been l‐citrulline treated, there was no heat evident upon titration of neither of these basic amino acids (not shown). Thus, the results we achieved with ITC were entirely consistent with the DSF assay, and strongly suggested that Tv2483 is an l‐arginine‐specific binding protein.

To validate the identities of the amino‐acid residues that we observed in the Tv2483 crystal structure, we mutated two of the contacting residues to alanine and studied their binding to l‐arginine using ITC [Fig. 6(b) and Table 2]. Notably, we found that no l‐citrulline treatment was necessary for the mutant proteins; ostensibly, the weakened binding characteristics of the mutated proteins minimized the amount of co‐purified amino acids in these preparations. The integrity of the altered proteins was confirmed using DLS and AUC (Table S1 and Figs. S2 and S3). The first mutation was targeted at the putative salt bridge between R95 and the carboxylate moiety of the bound l‐arginine. Substitution of this residue with alanine raised the K D by about 1000× (6.3 [5.9, 6.8] μM). The second mutation was changing to alanine the glutamate whose side chain made a presumed salt bridge with the guanidinium moiety of the bound amino acid (E134). This mutation was more deleterious to l‐arginine binding than the previous, displaying a K D that was higher than the wild‐type by approximately 5000× (31 [26, 37] μM). These results allowed us to conclude that the binding site observed in the crystal structure is the operative one in solution, and that the abrogation of a single salt bridge, while not enough to fully eliminate binding, has significantly negative effects on the binding of l‐arginine to Tv2483.

Comparison of Tv2483 to other LBPs helps to define the specificity determinants

Database searches21 for similar tertiary structures revealed a large number of other amino‐acid‐binding LBPs. Among them are proteins that bind l‐glutamate or l‐histidine. However, we chose to focus on those that interact with basic amino acids, as does Tv2483 (see Table 3).

Table 3.

Comparisons of Tv2483 to other l‐arginine‐binding LBPs

Protein r.m.s.d. (Å) No. comparable Cα atoms
StLAO 2.0 227
GsArtJ 2.1 229
STM4351 1.9 218

The basic‐amino‐acid‐binding LBPs identified in the searches had a wide range of specificities and affinities for their respective ligands. For example, several structures of lysine–arginine–ornithine (LAO) binding proteins were returned. The best characterized of these is the LAO protein from Salmonella typhimurium, which we term “StLAO” henceforth. The root‐mean‐squared deviation (r.m.s.d.) in the positions of the superposed Cα atoms was 2.0 Å over 227 comparable atoms (Table 3). StLAO had no appreciable specificity among its three eponymous amino acids, with K Ds of 15, 14, and 29 nM for the three, respectively.15 Like Tv2483, StLAO sandwiched the side chain of the bound l‐arginine between two hydrophobic side chains (Y14 and F52), and there were numerous apparent hydrogen bonds between the protein and the bound amino acid [Fig. 7(a)]. In StLAO, none of the interactions between the protein and the guanidinium group of the bound l‐arginine were bidentate. Notably, the bound amino acid is in a different conformation in Tv2483 than that displayed in the binding site of StLAO; the l‐arginine side chain is “bent” in the former structure relative to the “straight” conformation observed in the latter. Indeed, it is this bend that allows E134 to engage in its bidentate contact with the guanidinium group in the Tv2483 structure (Fig. 4). In StLAO, the analogous residue is a leucine (L117), which has a van der Waals contact with the bound amino acid. Additionally [and not shown in Fig. 7(a) for clarity], a water molecule makes contact with the guanidinium group of the bound l‐arginine.

Figure 7.

Figure 7

Superpositions of Tv2483 and other l‐arginine‐binding LBPs. Comparisons are shown in stereo for StLAO ((a), magenta carbon atoms), GsArtJ ((b), light red carbon atoms), and STM4351 ((c), light blue carbon atoms). The residues presented in Figure 4b for Tv2483 are shown semi‐transparently here, in the color scheme of that figure. Some side chains and waters have been omitted for clarity. For STM4351, we used the amino‐acid numbering in the PDB deposition, not that occurring in the attendant publication.22

Another protein identified by our searches was ArtJ from Geobacillus stearothermophilus 16 (hereinafter referred to as GsArtJ). The superposition of GsArtJ and Tv2483 resulted in an r.m.s.d. of 2.1 Å over 229 comparable Cα atoms. The overall themes of l‐arginine binding displayed in StLAO were recapitulated in GsArtJ [Fig. 7(b)]: the straight side chain of the bound amino acid was sandwiched between the side chains two hydrophobic residues (F31 and W68), the amino‐ and carboxylate moieties were contacted by polar or charged side chains, and the guanidinium group interacted with the side chains of several more polar/charged residues. Compared with the other l‐arginine‐binding proteins surveyed in this work, GsArtJ binds tightly to l‐arginine, with a reported K D of 40 nM.16 GsArtJ is also somewhat promiscuous, binding l‐lysine and l‐histidine in addition to l‐arginine, and it appeared to use water molecules to aid in this binding plasticity, like StLAO does.

The final comparison presented in this report was between Tv2483 and STM4351 from Salmonella enterica 22 which, when superposed with Tv2483, exhibited a 1.9 Å r.m.s.d. over 218 aligned Cα atoms. This protein, though exhibiting a high degree of structural homology to StLAO, specifically bound to l‐arginine; binding could only be detected to that amino acid and to N‐methyl‐l‐arginine. The modest affinity of STM4351 for l‐arginine (2.9 μM) indicates that the protein has a several‐hundredfold higher K D when compared to those of Tv2483, StLAO, or GsArtJ. The structure of STM4351 showed that the bound amino acid was recognized using contacts similar to those observed in Tv2483, StLAO, and ArtJ [Fig. 7(c)]: charge–charge interactions at the amino‐ and carboxylate moieties of the bound amino acid, sandwiching of the l‐arginine's side chain between two hydrophobic residues, and numerous contacts to the bound guanidinium group. Notably, the side chain of the bound l‐arginine was also in the straight conformation, as it was in both non‐treponemal proteins discussed above. The changes that rendered STM4351 specific for l‐arginine relative to StLAO focused on the replacement of a water molecule in the StLAO binding site with side chains making van der Waals contacts to the guanidinium group22; waters in the binding site presumably contributed to the amino‐acid promiscuity in StLAO and GsArtJ.16, 22, 23 Tv2483 employed a similar strategy, in that water was apparently excluded from the protein's amino‐acid binding site. The source of the relatively weak binding of l‐arginine to StLAO was not evident from this comparison. A fourth l‐arginine‐binding protein identified in our structural‐similarity searches, ArtJ from Chlamydia pneumonia,24 was excluded from a more detailed analysis because of its relatively high r.m.s.d. when compared with Tv2483 (2.3 Å over 217 Cα atoms).

Comparison of the Tv2483 and Tp0309 sequences reveals salient differences within the ligand‐binding sites

Because Tv2483 is a homolog of Tp0309, we used a structure‐based alignment algorithm25 to examine whether Tp0309 was also likely to bind to l‐arginine. Treponema pallidum has no enzymes for the de novo synthesis of L‐arginine, and thus probably must import it by some means. Generally, the two primary structures aligned well, displaying an amino‐acid identity of about 25% with few gaps and strongly corresponding secondary‐structure predictions (Fig. 8). Two key l‐arginine‐binding residues were conserved between the two proteins: S29 and W70. However, the other residues were not strictly conserved; particularly problematic for the prospect of amino‐acid binding by Tp0309 were the lack of charge conservation at the aspartic acid that bound the amino group (D179 corresponds to N200 in Tp0309) and the glutamic acid that interacted with the guanidinium group (the Tp0309 analog to E134 is H158). Also, the bidentate interaction observed in all l‐arginine‐binding proteins described above between (in Tv2483) R95 and the carboxylate of the bound amino acid was apparently not present in Tp0309 (it is H119 in that protein). These changes obscure the identity of the cognate ligand of Tp0309; although it is possible that the latter does bind l‐arginine, that putative binding mode would differ from that observed for Tv2483 in this report. Regardless of these differences, the quality of the alignment implied that Tv2483 can serve as a good model for the overall fold of Tp0309.

Figure 8.

Figure 8

Sequence alignment of Tv2483 and Tp0309. The sequence numbering for Tp0309 is for the entire protein, as no signal sequences are evident near to its amino‐terminus. Pink boxes indicate areas of predicted α‐helices, whereas light‐blue boxes depict predicted β‐strands. Positions of amino‐acid identities between the two proteins are marked with asterisks. Green arrows point out residues in Tv2483 whose side chains have contacts with the side chain of the bound l‐arginine; blue arrows show those in contact with the amino group, and the red arrow shows the residue in contact with the carboxylate group.

Discussion

Our results strongly support the contention that Tv2483 is a monomeric LBP that specifically and tightly binds to l‐arginine (Figs. 1, 2, 3). Exclusion of water from the binding site and strong shape complementarity, first proposed to explain the specificity of STM4351,22 appear to be operative in Tv2483 as well. The UniProt entry on Tv2483 notes that it has a periplasmic localization signal peptide at its amino‐terminus; however, our investigations using the LipoP server26 strongly suggested that it is a lipoprotein, like many LBPs of treponemes (e.g. Refs. [7, 27, 28]). Thus, the protein is probably anchored to the outer leaflet of the T. vincentii cytoplasmic membrane and binds l‐arginine that enters the organism's periplasm.

Many bacteria organize the genes necessary for a complete ABC transporter into a single operon. This fact conveniently enables the identification of an LBP's cognate permease and ATP‐hydrolyzing partners. This, however, is not the case for Tv2483; there are no nearby genes for other ABC transporter components except for Tv2484, which is apparently another LBP. This observation raises the possibility that the l‐arginine import components are scattered in the T. vincentii genome or that Tv2483 (and Tv2484) dock on a permease that has a low binding‐partner discrimination.

LBPs can be used for functions other than nutrient import in bacteria. For example, the MglB protein of E. coli can serve as both an LBP and a chemotactic sensor for d‐galactose.29 Whereas it is tempting to speculate that the lack of co‐operonic ABC components for Tv2483 could indicate a chemotactic function, the properties of the protein seem ill‐suited for this purpose. Our experiences with the protein suggest that l‐arginine is slow to dissociate from Tv2483 in the absence of an external impetus (see above and Experimental procedures); this aspect of l‐arginine binding does not comport with a chemotactic system that must be able to respond rapidly to changes in solute concentrations. Furthermore, the Tp0737 protein of T. pallidum offers an apparent precedent of a treponemal LBP that has no co‐operonic ABC transporter apparatus.30

A fundamental question raised by this study is how to rationalize the various binding affinities for l‐arginine‐binding LBPs. Tv2483, StLAO, and GsArtJ all bound the amino acid with K Ds below 100 nM (Fig. 6, Table 2, and Refs. [15, 16]). Given that the side chain of the bound l‐arginine in only one of these structures is “bent” (that in Tv2483, Fig. 4), it was clearly indicated that this conformational variance does not manifest as a significant change in the free energy of amino‐acid binding. However, the l‐arginine‐specific protein STM4351 has a much higher K D than the other l‐arginine‐binding LBPs (2.9 μM), without an obvious loss in the number or quality of contacts to the bound amino acid. ITC of l‐arginine binding to STM435122 showed that the interaction was endothermic (having an observed ΔH of +1.4 kcal/mol), implying that binding was entropy‐driven. Our studies of Tv2483 likely point to an exothermic heat of interaction for l‐arginine binding [we observed a ΔH of −14.6 [−14.8, −14.5] kcal/mol; see Fig. 6(a)], although this cannot be definitively stated because of the ionization enthalpy of the buffer used in our studies (see Experimental procedures and Refs. [31, 32]). If the observation of opposite binding enthalpies is accurate, these thermodynamic differences could reveal clues on the molecular mechanisms of tight versus modest l‐arginine binding. For example, it is possible that more water molecules are liberated from the binding site of STM4351 upon l‐arginine binding; this would explain both the endothermic binding (more hydrogen bonds broken) and entropy as a driver for binding. Another possibility is that less enthalpy is available from the closure of STM4351 than from that of Tv2483. Further calorimetric and structural studies would be necessary to explore these notions. Also, as has been demonstrated for antibody affinity maturation33 and drug resistance mutations,34 it is possible that variances at amino‐acid positions outside the ligand‐binding site are at least partially responsible for the observed differences in binding affinity.

The linker region of Tv2483 comprised two β‐strands (Fig. 3). LBPs of Cluster F14 usually do not have regular secondary structure features in this region, as large interdomain motions, manifested as changes in backbone dihedral angles in the linker,35 are necessary. While GsArtJ also had β‐strands in the linker, the length of the strands in Tv2483’s linker was exceptional. The implications of this observation for the range of motion of the two domains relative to one another are unknown at this time. Future efforts at obtaining an unliganded Tv2483 structure may reveal more about the plasticity (or lack thereof) in this region of the protein.

Our original homology search revealing that Tv2483 was a homolog of Tp0309 provided initial optimism that the T. vincentii homolog could serve as a surrogate in our efforts to characterize the intractable Tp0309 protein biochemically and biophysically. Although T. vincentii is not an obligate human pathogen like T. pallidum, it often is found in cases of periodontal disease, typically in association with other oral spirochetes and anaerobes (such as Fusobacterium).36, 37 Thus, there are obvious salient biological differences between T. pallidum and T. vincentii and the human sites that they inhabit. Perhaps this biological difference, at least in part, explains the binding‐pocket divergence that we now predict exists between Tv2483 and Tp0309, which could only be revealed by solving the crystal structure of Tv2483. Nonetheless, it remains possible that homologs of T. pallidum proteins found in other pathogenic spirochetes may continue to be useful for discerning biological and biochemical functions of other T. pallidum proteins.

Materials and Methods

Protein expression and purification

To produce a recombinant derivative of the TREVI0001_2483 lipoprotein (referred as “Tv2483”) in E. coli, the DNA fragment encoding amino acid residues 6–252 of Tv2483 was PCR amplified from Treponema vincentii ATCC 700013 genomic DNA (ATCC, VA) by the polymerase incomplete primer extension (PIPE) cloning method using ends‐specific primers (PIPE insert). The expression vector, pSpeedET (DNASU, Tempe, AZ), which encodes an N‐terminal expression and purification hexa‐histidine tag (MGSDKIHHHHHHENLYFQG; no protease site was included), was PCR amplified with PIPE‐vector primers. The PIPE‐insert and PIPE‐vector was mixed to anneal the amplified DNA fragments together.38 Escherichia coli HK100 competent cells were transformed with the mixtures (PIPE‐vector and insert) and selected for kanamycin resistance on LB agar plates. Cloning junctions/fragments were verified by DNA sequencing. A verified plasmid was then co‐transformed with pGroESL (Takara USA, Mountain View, CA) into E. coli BL21 AI (Invitrogen, Waltham, MA) cells for soluble protein expression. E. coli BL21 AI cells were grown at 37°C in LB medium containing 40 μg/mL of kanamycin and 30 μg/mL of chloramphenicol until the cell density reached an A 600 of ~0.6. The cells were then induced for ~20 h with 0.2% (w/v) l‐arabinose at 16°C and harvested, and cell pellets were stored at −80°C. The procedures for expression and purification of the recombinant proteins were essentially as previously described.39, 40

Site‐directed mutagenesis and protein concentration determination

For the construction of Tv2483 variants, the R95A and E134A mutations were individually introduced into the plasmid carrying the wild‐type tv2483 sequence using the QuikChange site‐directed mutagenesis kit (Agilent Technologies). The mutation was confirmed by DNA sequencing. The mutant protein was expressed and purified as described above. Protein concentrations were determined in Sample Buffer (20 mM Hepes, 0.1 M NaCl, pH 7.5, 2 mM n‐Octyl‐β‐d‐glucopyranoside) using UV absorption at 280 nm. Extinction coefficients were calculated from the protein sequences using the ProtParam tool of ExPASy server (http://www.expasy.org).

Protein crystallization

Using the sitting‐drop vapor‐diffusion technique in 96‐well plates with the PACT Crystallization Suite and Structure Screen 1 + 2 (Molecular Dimensions, Maumee, OH) and a crystallization robot (Crystal Gryphon, Art Robbins Instruments, Sunnyvale, CA), the initial crystallization conditions were determined at 20°C. Crystallization screens for Tv2483 with a protein concentration of ~13 mg/mL (in Sample Buffer) yielded two conditions for diffraction‐quality crystals (Crystals I and II). Crystal I appeared in Well A2 of the PACT screen (0.1 M SPG (succinic acid, sodium dihydrogen phosphate, and glycine) buffer, pH 5.0, 25% (v/v) PEG 1500) after 7 days. The crystals were transferred to Stabilization Buffer I (0.1 M sodium citrate pH 5.0, 0.1 M NaCl, 25% PEG 1500, 5% (v/v) ethylene glycol), then serially transferred to solutions containing more ethylene glycol in increments of 10% to a final concentration of 25%. After about 1 min in this final mixture, the crystals were flash‐cooled in liquid nitrogen. Crystal II appeared in well C7 of the Structure 1 + 2 screen (0.1 M HEPES pH 7.5, 10% (v/v) isopropanol, 20% (w/v) PEG4000). The crystal was moved into Stabilization Buffer II (0.1 M HEPES pH 7.5, 10% isopropanol, 20% PEG4000, 0.1 M NaCl, 2 mM n‐Octyl‐β‐d‐glucopyranoside, 5% (v/v) ethylene glycol), then transferred to Stabilization Buffer II supplemented to 15% ethylene glycol, where it resided for approximately 5 min before plunging into liquid nitrogen.

X‐ray data collection, structure determination, and structure refinement

X‐ray diffraction data were collected at beamline 19‐ID, the Structural Biology Center at Argonne National Laboratories. The crystals had the symmetry of space group C222 (Table 1). An initial data set having a smallest d min spacing of 1.9 Å was collected from Crystal I. The data were indexed, integrated, and scaled using HKL3000.41 Hidden‐Markov model searches42 of the Protein Data Base showed that a histidine‐binding protein, PDB accession number http://firstglance.jmol.org/fg.htm?mol=4OHN, a histidine‐binding protein from Streptococcus pneumoniae was the top match (there was a 25% sequence identity between the two). CLUSTALW43 was used to align the sequences of 4OHN (no attendant publication) and Tv2483, and the molecular‐replacement search model was constructed using Sculptor in the PHENIX program suite.44 Phaser45 found one copy of the search model in the asymmetric unit (log‐likelihood gain = 2538), and the data and model were submitted to the ARP/wARP web server,46 which built 99% of the model. The remaining parts of the model were built in Coot.47 Rigid‐body refinement, simulated annealing, individual B‐factor, and positional refinement protocols in PHENIX were used to refine the structure. Later, a data set was collected from Crystal II, which had the same symmetry as Crystal I, very similar unit‐cell dimensions (Table 1), and a d min spacing of 1.75 Å. The Crystal I model was refined against the Crystal II data, with no molecular‐replacement step necessary. In the end, individual B‐factor, positional, and TLS refinement were used to arrive at the final model, which had excellent geometry, including no Ramachandran outliers (Table 1). Riding hydrogen atoms were used at all stages of refinement, and no data were excluded from refinement. The refined structure for Crystal II has been deposited in the Protein Data Bank with accession number http://firstglance.jmol.org/fg.htm?mol=6DET.

Dynamic light scattering

The DLS measurements were taken in a DynaPro NanoStar instrument (Wyatt Technologies, Santa Barbara, CA) in a quartz cuvette containing 5 μL of Tv2483 (2.7 mg/mL) in Sample Buffer at 25°C. Three technical replicates of three experimental replicates were taken, resulting in nine measurements; for statistical purposes, all replicates were treated equally, and all values presented in the text are unweighted averages ± their respective standard deviations. Reduced intensity autocorrelation functions were exported from Dynamics (Wyatt Technologies) and converted to SEDFIT format with a Python script. The converted reduced field autocorrelation functions were analyzed in SEDFIT with the cumulant model and also with a continuous R H distribution,11 with a maximum‐entropy regularization function at a confidence level of 0.55, and a resolution of 100 between 1 and 500 nm. The viscosity of the buffer was calculated using SEDNTERP.48 Distributions were plotted in GUSSI.49

Analytical ultracentrifugation

All AUC experiments were conducted in a Beckman XL‐I (Indianapolis, IN) centrifuge at 20°C. Samples (400 μL in Sample Buffer) at three different concentrations (23, 7.3, and 2.3 μM) were introduced into charcoal‐filled Epon centerpieces that had been assembled in centrifugation cells such that they had been sandwiched between sapphire windows. The sample cells were placed into a Beckman An50‐Ti rotor which was inserted into the centrifuge, placed under vacuum, and incubated at the experimental temperature for 2.5 h. Next, the rotor was accelerated to 50,000 rpm, and data were collected using the absorbance optical system tuned to a wavelength of 280 nm. The data were analyzed using the c(s) methodology in SEDFIT,50, 51 using maximum‐entropy regularization with a confidence level of 0.683, a resolution of 150 between 0 and 10 S, and solution/protein parameters derived from SEDNTERP.48 All distributions were illustrated with and integrated in GUSSI,49 and molar masses were calculated using SEDFIT. All reported values from the SV experiments were the means of these three trials ± the respective standard deviations.

Differential scanning fluorimetry

The thermal stability of Tv2483 and its variants upon ligand binding was performed in a 96‐well PCR‐plate (Bio‐Rad, Hercules, CA) using a Real‐Time PCR instrument (Bio‐Rad). For ligand screening of physiological compounds (which includes Nitrogen Sources), Biolog's Phenotype MicroArray (PM) compounds supplied in 96‐well microplates (Biolog, Hayward, CA) were dissolved in 50 μL of sterile water to obtain a final concentration of around 10–20 mM. Screenings were performed with plate PM3B (Nitrogen Sources). The plate contained 95 compounds and a blank (no ligand) control. The complete plate contents are available in the Biolog website (http://www.biolog.com).

Each 20 μL standard assay mixture in a 96‐well PCR‐plate contained 10 μM purified protein and SYPRO Orange (5000× stock solution, Life Technologies, Carlsbad, CA) at 5× concentration in sample buffer. Two microliters of the resuspended Biolog compounds were added to each well. Samples were heat denatured from 4°C to 85°C in 0.5°C steps. The protein unfolding curves were monitored from the differential fluorescence changes (‐ΔF) of protein‐bound SYPRO Orange. The minima of the first derivative values (dF/dT) from the raw fluorescence data were used to determine the midpoint of melting temperature (T m).

Isothermal titration calorimetry

All ITC experiments were performed in a Malvern iTC200 (Malvern, UK) at 20°C. The amino acid under study was always housed in the syringe, while the protein was in the cell (202.9 μL). The stirring speed was 750 rpm. The E134A and R95A proteins were dialyzed against sample buffer. However, the wild‐type protein treated thus apparently co‐purified with l‐arginine and even 5 days of dialysis were insufficient to remove it, as no heat was observed upon the injection of l‐arginine into protein solutions thus treated (not shown). Therefore, we devised a strategy to dislodge the bound ligand. Wild‐type Tv2483 (15 mL) was incubated at room temperature overnight in Sample Buffer plus 10 mM l‐citrulline. This amino acid was chosen as a competitor because it showed some ability to bind in the DSF assay and because of its structural similarity to l‐arginine. The protein was then concentrated to approximately 1 mL in a centrifugal concentrator with a 10,000 Da cutoff (Millipore, Burlington, MA). The protein was then diluted to 15 mL in the same buffer with l‐citrulline and incubated for 1 h at room temperature. After the same concentration step, the protein was diluted in Sample Buffer (without l‐citrulline) to 15 mL. Four more cycles of concentration and dilution were performed. This material could be studied, but still contained a significant amount of material (~35%) that was incompetent to bind to l‐arginine or l‐citrulline, and it was modeled as such in the analysis. A typical ITC experiment encompassed 19–20 injections of 1.9–2.0 μL each, with the first injection being smaller (0.5–1.0 μL). For the E134A and R95A proteins, the concentrations in the cell were 100 and 114 μM each, respectively, and the respective syringe concentrations were 1.5 mM and 1.14 mM. For the wild‐type protein, a competition study was performed, containing two titrations of l‐arginine (500 μM) into Tv2483 (50 μM), two titrations of l‐citrulline (250 μM) into Tv2483 (20 μM in one experiment, 50 μM in the other), and one titration of l‐arginine (500 μM) into a mixture of l‐citrulline and Tv2483 (500 and 50 μM, respectively). All data were integrated using NITPIC52, 53 and analyzed in SEDPHAT.20, 54 For E134A and R95A, the experiments were conducted in triplicate and the data from each mutant protein were globally analyzed with a 1:1 binding model, allowing the incompetent fraction of the protein to refine. The incompetent fractions for the two mutants were 8% and 12%, respectively. All titrations for the competition experiment with wild‐type protein were assembled into a single global analysis using the “A+B+C <‐> AB + C <‐> AC + B; competing B and C for A” model in SEDPHAT. A single, global correction factor for the incompetent fraction of the protein was applied, and, in the titration where the cell contained l‐citrulline, a local concentration‐correction factor was also applied. ITC figures were rendered in GUSSI.49

Conflicts of interest

The authors claim no conflicts of interest.

Supporting information

Appendix S1: Supplementary Material

Acknowledgments

Funding was provided by the National Institutes of Health through grant number AI056305 to M. V. N. Results shown in this report are in part derived from work performed at Argonne National Laboratory, Structural Biology Center (SBC) at the Advanced Photon Source. SBC‐CAT is operated by UChicago Argonne, LLC, for the U.S. Department of Energy, Office of Biological and Environmental Research under contract DE‐AC02‐06CH11357.

References

  • 1. Higgins CF (1992) ABC transporters: from microorganisms to man. Annu Rev Cell Biol 8:67–113. [DOI] [PubMed] [Google Scholar]
  • 2. Davidson AL, Maloney PC (2007) ABC transporters: how small machines do a big job. Trends Microbiol 15:448–455. [DOI] [PubMed] [Google Scholar]
  • 3. Tam R, Saier Jr. MH (1993) Structural, functional, and evolutionary relationships among extracellular solute‐binding receptors of bacteria. Microbiol Rev 57:320–346. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Davidson AL, Dassa E, Orelle C, Chen J (2008) Structure, function, and evolution of bacterial ATP‐Binding cassette systems. Microbiol Mol Biol Rev 72:317–364. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Fraser CM, Norris SJ, Weinstock GM, White O, Sutton GG, Dodson R, Gwinn M, Hickey EK, Clayton R, Ketchum KA, Sodergren E, Hardham JM, McLeod MP, Salzberg S, Peterson J, Khalak H, Richardson D, Howell JK, Chidambaram M, Utterback T, McDonald L, Artiach P, Bowman C, Cotton MD, Fujii C, Garland S, Hatch B, Horst K, Roberts K, Sandusky M, Weidman J, Smith HO, Venter JC (1998) Complete genome sequence of Treponema pallidum, the syphilis spirochete. Science 281:375–388. [DOI] [PubMed] [Google Scholar]
  • 6. Deka RK, Brautigam CA, Yang XF, Blevins JS, Machius M, Tomchick DR, Norgard MV (2006) The PnrA (Tp0319; TmpC) lipoprotein represents a new family of bacterial purine nucleoside receptor encoded within an ATP‐binding cassette (ABC)‐like operon in Treponema pallidum . J Biol Chem 281:8072–8081. [DOI] [PubMed] [Google Scholar]
  • 7. Deka RK, Brautigam CA, Biddy BA, Liu WZ, Norgard MV (2013) Evidence for an ABC‐type riboflavin transporter system in pathogenic spirochetes. MBio 4:e00615–e00612. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Gonin S, Arnoux P, Pierru B, Lavergne J, Alonso B, Sabaty M, Pignol D (2007) Crystal structures of an extracytoplasmic solute receptor from a TRAP transporter in its open and closed forms reveal a helix‐swapped dimer requiring a cation for α‐keto acid binding. BMC Struct Biol 7:11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Cuneo MJ, Changela A, Miklos AE, Beese LS, Krueger JK, Hellinga HW (2008) Structural analysis of a periplasmic binding protein in the tripartite ATP‐independent transporter family reveals a tetrameric assembly that may have a role in ligand transport. J Biol Chem 283:32812–32820. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Ruggiero A, Dattelbaum JD, Staiano M, Berisio R, D'Auria S, Vitagliano L (2014) A loose domain swapping organization confers a remarkable stability to the dimeric structure of the arginine binding protein from Thermotoga maritima . PLoS One 9:e96560. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Schuck P, Taraporewala Z, McPhie P, Patton JT (2001) Rotavirus nonstructural protein NSP2 self‐assembles into octamers that undergo ligand‐induced conformational changes. J Biol Chem 276:9679–9687. [DOI] [PubMed] [Google Scholar]
  • 12. Frisken BJ (2001) Revisiting the method of cumulants for the analysis of dynamic light‐scattering data. Appl Opt 40:4087–4091. [DOI] [PubMed] [Google Scholar]
  • 13. Fukami‐Kobayashi K, Tateno Y, Nishikawa K (1999) Domain dislocation: a change of core structure in periplasmic binding proteins in their evolutionary history. J Mol Biol 286:279–290. [DOI] [PubMed] [Google Scholar]
  • 14. Berntsson RP‐A, Smits SHJ, Schmitt L, Slotboom D‐J, Poolman B (2010) A structural classification of substrate‐binding proteins. FEBS Lett 584:2606–2617. [DOI] [PubMed] [Google Scholar]
  • 15. Nikaido K, Ames G‐L (1992) Purification and characterization of the periplasmic lysine‐arginine‐ornithine‐binding protein (LAO) from Salmonella typhimurium . J Biol Chem 267:20706–20712. [PubMed] [Google Scholar]
  • 16. Vahedi‐Faridi A, Eckey V, Scheffel F, Alings C, Landmesser H, Schneider E, Saenger W (2008) Crystal structures and mutational analysis of the arginine‐, lysine‐, histidine‐binding protein ArtJ from Geobacillus stearothermophilus. Implications for interactions of ArtJ with its cognate ATP‐binding cassette transporter, Art(MP)2. J Mol Biol 375:448–459. [DOI] [PubMed] [Google Scholar]
  • 17. Niesen FH, Berglund H, Vedadi M (2007) The use of differential scanning fluorimetry to detect ligand interactions that promote protein stability. Nat Protoc 2:2212–2221. [DOI] [PubMed] [Google Scholar]
  • 18. Bevington PR, Robinson DK Data reduction and error analysis for the physical sciences. 2nd ed. Boston, MA: WCB/McGraw‐Hill, 1992. [Google Scholar]
  • 19. Sigurskjold BW (2000) Exact analysis of competition ligand binding by displacement isothermal titration calorimetry. Anal Biochem 277:260–266. [DOI] [PubMed] [Google Scholar]
  • 20. Zhao H, Piszczek G, Schuck P (2015) SEDPHAT – a platform for global ITC analysis and global multi‐method analysis of molecular interactions. Methods 76:137–148. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Holm L, Park J (2000) DaliLite workbench for protein structure comparison. Bioinformatics 16:566–567. [DOI] [PubMed] [Google Scholar]
  • 22. Stamp AL, Owen P, El Omari K, Lockyer M, Lamb HK, Charles IG, Hawkins AR, Stammers DK (2011) Crystallographic and microcalorimetric analyses reveal the structural basis for high arginine specificity in the Salmonella enterica serovar Typhimurium periplasmic binding protein STM4351. Proteins 79:2352–2357. [DOI] [PubMed] [Google Scholar]
  • 23. Oh B, Ames GF‐L, Kim S‐H (1994) Structural basis for multiple ligand specificity of the periplasmic lysine‐, arginine‐, ornithine‐binding protein. J Biol Chem 269:26323–26330. [PubMed] [Google Scholar]
  • 24. Soriani M, Petit P, Grifantini R, Petracca R, Gancitano G, Frigimelica E, Nardelli F, Garcia C, Spinelli S, Scarabelli G, Fiorucci S, Affentranger R, Ferrer‐Navarro M, Zacharias M, Colombo G, Vuillard L, Daura X, Grandi G (2010) Exploiting antigenic diversity for vaccine design: the chlamydia ArtJ paradigm. J Biol Chem 285:30126–30138. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Pei J, Kim B‐H, Grishin N V (2008) PROMALS3D: a tool for multiple sequence and structure alignment. Nucleic Acids Res 36:2295–2300. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Juncker AS, Willenbrock H, von Heijne G, Brunak S, Nielsen H, Krogh A (2003) Prediction of lipoprotein signal peptides in Gram‐negative bacteria. Protein Sci 12:1652–1662. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Deka RK, Lee Y, Hagman KE, Lingwood CA, Hasemann CA, Norgard MV, Radolf JD, Shevchenko D (1999) Physicochemical evidence that Treponema pallidum TroA is a zinc‐containing metalloprotein that lacks porin‐like structure. J Bacteriol 181:4420–4423. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Deka RK, Neil L, Hagman KE, Machius M, Tomchick DR, Brautigam CA, Norgard MV (2004) Structural evidence that the 32‐kilodalton lipoprotein (Tp32) of Treponema pallidum is an L‐methionine‐binding protein. J Biol Chem 279:55644–55650. [DOI] [PubMed] [Google Scholar]
  • 29. Hazelbauer GL, Adler J (1971) Role of the galactose binding protein in chemotaxis of Escherichia coli toward galactose. Nat New Biol 230:101–104. [DOI] [PubMed] [Google Scholar]
  • 30. Brautigam CA, Deka RK, Liu WZ, Tomchick DR, Norgard MV (2017) Functional clues from the crystal structure of an orphan periplasmic ligand‐binding protein from Treponema pallidum . Protein Sci 26:847–856. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Pierce MM, Raman CS, Nall BT (1999) Isothermal titration calorimetry of protein–protein interactions. Methods 19:213–221. [DOI] [PubMed] [Google Scholar]
  • 32. Coussens NP, Schuck P, Zhao H (2012) Strategies for assessing proton linkage to bimolecular interactions by global analysis of isothermal titration calorimetry data. J Chem Thermodyn 52:95–107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Mishra AK, Mariuzza RA (2018) Insights into the structural basis of antibody affinity maturation from next‐generation sequencing. Front Immunol 9:117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Ragland DA, Nalivaika EA, Nalam MNL, Prachanronarong KL, Cao H, Bandaranayake RM, Cai Y, Kurt‐Yilmaz N, Schiffer CA (2014) Drug resistance conferred by mutations outside the active site through alterations in the dynamic and structural ensemble of HIV‐1 protease. J Am Chem Soc 136:11956–11963. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Oh BH, Pandit J, Kang CH, Nikaido K, Gokcen S, Ames GF, Kim SH (1993) Three‐dimensional structures of the periplasmic lysine/arginine/ornithine‐binding protein with and without a ligand. J Biol Chem 268:11348–11355. [PubMed] [Google Scholar]
  • 36. Kolenbrander PE, Parrish KD, Andersen RN, Greenberg EP (1995) Intergeneric coaggregation of oral Treponema spp. with Fusobacterium spp. and intrageneric coaggregation among Fusobacterium spp. Infect Immun 63:4584–4588. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Willis SG, Smith KS, Dunn VL, Gapter LA, Riviere KH, Riviere GR (1999) Identification of seven Treponema species in health‐ and disease‐associated dental plaque by nested PCR. J Clin Microbiol 37:867–869. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Klock HE, Koesema EJ, Knuth MW, Lesley SA (2008) Combining the polymerase incomplete primer extension method for cloning and mutagenesis with microscreening to accelerate structural genomics efforts. Proteins 71:982–994. [DOI] [PubMed] [Google Scholar]
  • 39. Deka RK, Brautigam CA, Goldberg M, Schuck P, Tomchick DR, Norgard MV (2012) Structural, bioinformatic, and in vivo analyses of two Treponema pallidum lipoproteins reveal a unique TRAP transporter. J Mol Biol 416:678–696. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Deka RK, Brautigam CA, Liu WZ, Tomchick DR, Norgard MV (2016) Molecular insights into the enzymatic diversity of flavin‐trafficking protein (Ftp; formerly ApbE) in flavoprotein biogenesis in the bacterial periplasm. Microbiologyopen 5:21–38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Minor W, Cymborowski M, Otwinowski Z, Chruszcz M (2006) HKL‐3000: the integration of data reduction and structure solution – from diffraction images to an initial model in minutes. Acta Cryst D62:859–866. [DOI] [PubMed] [Google Scholar]
  • 42. Söding J, Biegert A, Lupas AN (2005) The HHpred interactive server for protein homology detection and structure prediction. Nucleic Acids Res 33:W244–W248. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Larkin MA, Blackshields G, Brown NP, Chenna R, McGettigan PA, McWilliam H, Valentin F, Wallace IM, Wilm A, Lopez R, Thompson JD, Gibson TJ, Higgins DG (2007) Clustal W and Clustal X version 2.0. Bioinformatics 23:2947–2948. [DOI] [PubMed] [Google Scholar]
  • 44. Adams PD, Afonine PV, Bunkoczi G, Chen VB, Davis IW, Echols N, Headd JJ, Hung L‐W, Kapral GJ, Grosse‐Kunstleve RW, McCoy AJ, Moriarity NW, Oeffner R, Read RJ, Richardson DC, Richardson JS, Terwilliger TC, Zwart PH (2010) PHENIX: a comprehensive Python‐based system for macromolecular structure determination. Acta Cryst D66:213–221. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. McCoy AJ, Grosse‐Kunstleve RW, Adams PD, Winn MD, Storoni LC, Read RJ (2007) Phaser crystallographic software. J Appl Cryst 40:658–674. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Langer G, Cohen SX, Lamzin VS, Perrakis A (2008) Automated macromolecular model building for X‐ray crystallography using ARP/wARP version 7. Nat Protoc 3:1171–1179. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Emsley P, Cowtan K (2004) Coot: model‐building tools for molecular graphics. Acta Cryst D60:2126–2132. [DOI] [PubMed] [Google Scholar]
  • 48. Laue TM, Shah BD, Ridgeway RM. Pelletier SL computer‐aided interpretation of analytical sedimentation data for proteins In: Harding SE, Rowe AJ, Horton JC, Eds , 1992. Analytical Ultracentrifugation in Biochemistry and Polymer Science. Cambridge, UK: The Royal Society of Chemistry; p. 90–125. [Google Scholar]
  • 49. Brautigam CA (2015) Calculations and publication‐quality illustrations for analytical ultracentrifugation data. Methods Enzymol 562:109–134. [DOI] [PubMed] [Google Scholar]
  • 50. Schuck P (2000) Size distribution analysis of macromolecules by sedimentation velocity ultracentrifugation and Lamm equation modeling. Biophys J 78:1606–1619. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Schuck P, Perugini MA, Gonzales NR, Howlett GJ, Schubert D (2002) Size‐distribution analysis of proteins by analytical ultracentrifugation: strategies and application to model systems. Biophys J 82:1096–1111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52. Keller S, Vargas C, Zhao H, Piszczek G, Brautigam CA, Schuck P (2012) High‐precision isothermal titration calorimetry with automated peak‐shape analysis. Anal Chem 84:5066–5073. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Scheuermann TH, Brautigam CA (2015) High‐precision, automated integration of multiple isothermal titration calorimetric thermograms: new features of NITPIC. Methods 76:87–98. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54. Brautigam CA, Zhao H, Vargas C, Keller S, Schuck P (2016) Integration and global analysis of isothermal titration calorimetry data for studying macromolecular interactions. Nat Protoc 11:882–894. [DOI] [PMC free article] [PubMed] [Google Scholar]

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Supplementary Materials

Appendix S1: Supplementary Material


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