The purple sea urchin, Strongylocentrotus purpuratus, expresses a diverse immune response protein family called Sp185/333. A recombinant Sp185/333 protein, previously called rSp0032, shows multitasking antipathogen binding ability, suggesting that the protein family mediates a flexible and effective immune response to multiple foreign cells. Bioinformatic analysis predicts that rSp0032 is intrinsically disordered, and its multiple binding characteristic suggests structural flexibility to adopt different conformations depending on the characteristics of the target. To address the flexibility and structural shifting hypothesis, circular dichroism analysis of rSp0032 suggests that it transforms from disordered (random coil) to α helical structure. This structural transformation may be the basis for the strong affinity between rSp0032 and several pathogen-associated molecular patterns. The N-terminal Gly-rich fragment of rSp0032 and the C-terminal His-rich fragment show unique transformations by either intensifying the α helical structure or changing from α helical to β strand depending on the solvents and molecules added to the buffer. Based on these results, we propose a name change from rSp0032 to rSpTransformer-E1 to represent its flexible structural conformations and its E1 element pattern. Given that rSpTransformer-E1 shifts its conformation in the presence of solvents and binding targets and that all Sp185/333 proteins are predicted to be disordered, many or all of these proteins may undergo structural transformation to enable multitasking binding activity toward a wide range of targets. Consequently, we also propose an overarching name change for the entire family from Sp185/333 proteins to SpTransformer proteins.

This article is featured in In This Issue, p.2517

The California purple sea urchin, Strongylocentrotus purpuratus, has a complex, sophisticated, and robust innate immune system with a large number of immune gene families (15). The Sp185/333 gene family has an estimated ∼50 ± 10 genes per genome that encode a vastly diverse repertoire of putative immune response proteins (610). Each gene has two exons that encode the leader peptide and the mature protein (913). The deduced mature proteins have tandem and interspersed repeats, as well as subsets of 25–27 elements, which are recognizable blocks of sequence defined by large artificial gaps that optimize two possible alignments (6). The mosaic presence/absence of elements results in 51 known element patterns (Fig. 1A) (6, 10, 11). Sp185/333 proteins are expressed by the phagocyte subclass of coelomocytes (the echinoderm immune cells) that can be categorized into small, polygonal, and discoidal phagocytes based on cytoskeletal shape and cell size (7, 1417). We have proposed previously that each phagocyte type may be subcategorized based on expression of the Sp185/333 genes and proteins and expression of the complement C3 homolog in subsets of these cell types (7, 18). The sizes of deduced Sp185/333 proteins range from 4 to 55 kDa based on cDNA sequences (19); however, the native proteins isolated from individual sea urchins show unexpectedly large sizes that contradict predictions (7, 13). Similar characteristics have been noted for the He185/333 genes and proteins from a different sea urchin species, Heliocidaris erythrogramma (20). Two-dimensional Western blots show up to 260 Sp185/333+ spots with a wide range of molecular masses and isoelectric points that illustrate the level of protein diversity among animals (13, 21). Despite the sequence diversity, the predicted Sp185/333 proteins share a common structure composed of an N-terminal hydrophobic leader peptide, a Gly-rich region with an arginine–glycine–aspartic acid motif, a His-rich region, and a C-terminal region (Fig. 1B) (11, 22). Bioinformatic analyses show no matches to proteins with known function, and thus there are no functional predictions based on amino acid sequence for the Sp185/333 proteins (7, 19).

FIGURE 1.

The SpTrf proteins are composed of mosaics of elements that result in recognizable element patterns. (A) The cartoon alignment is based on the repeat-based alignment of Buckley and Smith (6) and shows a few versions of the SpTrf proteins to illustrate the mosaics of elements, shown as blocks of sequences represented as variously shaded and patterned rectangles, that are the basis for the variety of element patterns. Artificially inserted gaps that define the elements are shown as horizontal lines. All known elements are indicated and numbered along the top of the alignment, which also indicates the leader (L). Element patterns are defined by the sequence of element 10, which has significant sequence diversity and variable length that are associated with recognizable sets of elements according to Terwilliger et al. (11). No SpTrf sequence is composed of all elements. SpTrf-E1 has an E1 element pattern. Tandem repeats are present in the Gly-rich region, and interspersed repeats are present in the His-rich region. The leader and the mature protein are encoded by the two exons of the gene as indicated. This figure is modified from Buckley et al. (24). (B) The full-length rSpTrf-E1 is composed of a leader sequence, a Gly-rich region, a His-rich region, and a C-terminal region. The elements for rSpTrf-E1 are indicated by shaded and patterned rectangles that match those shown in (A). The full-length recombinant protein and the recombinant fragments are indicated. This figure is modified from Smith and Lun (67).

FIGURE 1.

The SpTrf proteins are composed of mosaics of elements that result in recognizable element patterns. (A) The cartoon alignment is based on the repeat-based alignment of Buckley and Smith (6) and shows a few versions of the SpTrf proteins to illustrate the mosaics of elements, shown as blocks of sequences represented as variously shaded and patterned rectangles, that are the basis for the variety of element patterns. Artificially inserted gaps that define the elements are shown as horizontal lines. All known elements are indicated and numbered along the top of the alignment, which also indicates the leader (L). Element patterns are defined by the sequence of element 10, which has significant sequence diversity and variable length that are associated with recognizable sets of elements according to Terwilliger et al. (11). No SpTrf sequence is composed of all elements. SpTrf-E1 has an E1 element pattern. Tandem repeats are present in the Gly-rich region, and interspersed repeats are present in the His-rich region. The leader and the mature protein are encoded by the two exons of the gene as indicated. This figure is modified from Buckley et al. (24). (B) The full-length rSpTrf-E1 is composed of a leader sequence, a Gly-rich region, a His-rich region, and a C-terminal region. The elements for rSpTrf-E1 are indicated by shaded and patterned rectangles that match those shown in (A). The full-length recombinant protein and the recombinant fragments are indicated. This figure is modified from Smith and Lun (67).

Close modal

The Sp185/333 proteins have been hypothesized to be antimicrobial with immune defense functions based on gene expression patterns and observations that suggest multiple levels of sequence diversity (reviewed in Ref. 10). First, the genes make up a family of tightly clustered genes that appear to undergo duplications and deletions (9, 23) plus some preliminary evidence of recombination within the tandem repeats in the second exon (Fig. 1A) (24). Second, there is significant sequence diversity among the genes and messages that is based on variations in element patterns and sequence diversity within elements (reviewed in Refs. 8, 25). Sequence diversity of the messages may be augmented by putative mRNA editing (26). Third, the Sp185/333 genes show strong upregulated expression in response to immune challenge with bacteria, LPS, peptidoglycan, β-1,3-glucan, and dsRNA (19, 27). Fourth, these multiple levels of diversification lead to highly diverse arrays of Sp185/333 proteins that vary among sea urchins and vary in response to immune challenge (13, 21). In testing the hypothesis that sequence diversity plus responses to immune challenge suggest antipathogen function, a recombinant Sp185/333 protein called rSp0032 binds specifically to the marine Gram-negative bacteria, Vibrio diazotrophicus, and to baker’s yeast, Saccharomyces cerevisiae, but it does not bind to the Gram-positive bacteria Bacillus subtilis or Bacillus cereus (22). rSp0032 also binds to multiple pathogen-associated molecular pattern (PAMPs), including LPS (from Escherichia coli), β-1,3-glucan (from S. cerevisiae), and flagellin (from Salmonella typhimurium), but it does not bind to peptidoglycan (from Bacillus) (22). The rGly-rich and rHis-rich fragments of rSp0032 (Fig. 1B) show altered or expanded binding characteristics toward bacteria and yeast compared with the full-length protein, whereas the C-terminal fragment of the Gly-rich region functions in the multimerization of rSp0032 (22). Bioinformatic predictions indicate that the mature rSp0032 minus the hydrophobic helical leader does not have a clear signature of secondary structure, is predominantly hydrophilic without any hydrophobic motifs to provide a solid structure to support protein folding, and may be an intrinsically disordered protein (IDP) (22). We have speculated that the lack of secondary structure may be a flexible platform from which rSp0032 may interact with multiple binding targets through conformational plasticity. We have suggested that rSp0032 has multitasking binding abilities and may function initially through noncovalent electrostatic interactions based on charged differences between protein and binding targets, which is followed by secondary interactions based on changes in the structural conformation of the protein resulting in specific and firm binding of rSp0032 to several targets (22). For comparison, p53 is a well understood example of a protein with an intrinsically disordered region (IDR) that engages in interactions with as many as 20 different protein partners, integrates multiple signaling networks, and functions in a wide range of cellular activities (28). Similarly, nucleoporins, which are the gatekeepers of the nuclear pore complex, have phenylalanine glycine repeats that constitute IDRs and form a meshwork of random coil structure to restrict nuclear transport for a wide range of molecules (29, 30). These examples illustrate the notion that IDPs and proteins with IDRs typically interact with many binding partners. However, there are very few reports of IDPs that function in vertebrate immunology (31).

To test whether the bioinformatic predictions that the disordered structure of rSp0032 would change conformation in response to binding targets, circular dichroism (CD) was used to evaluate the secondary structure and conformational folding properties in solution. CD spectroscopy detects differences in absorption of circularly polarized light by the backbone amide/peptide bonds in the region of 240 nm and below (32) and can be used to determine the functional range of ligand concentrations that lead to changes in protein structure, in addition to the level and speed at which the changes take place (33). CD is often used to distinguish between disordered (random coil) and ordered (α helix or β strand) protein structures (34). Results from CD confirm the bioinformatic prediction of structural conformational plasticity of rSp0032 (22) and its rGly-rich and rHis-rich fragments over a short range of temperatures. The recombinant C-terminal fragment of the Gly-rich region could not be evaluated by CD because it multimerizes upon isolation (22). Furthermore, rSp0032 transforms from disordered to α helical structure upon the addition of SDS or 2,2,2-trifluoroethanol (TFE) to the buffer, or in the presence of LPS. SDS is an anionic detergent commonly used to simulate the interactions between anionic lipid membranes and amphipathic cationic peptides, as well as conformational changes that the peptides may undergo as a result of these interactions (35). TFE is often used as a cosolvent with peptides or proteins in solution to promote secondary structures of α helices and β strands (3638). LPS, an endotoxin from Gram-negative bacteria, is bound specifically and tightly by rSp0032 (22). The rGly-rich and rHis-rich fragments show unexpected structural flexibility and transform to secondary structure of either enhanced α helical structure or β strand depending on the environment. These results suggest significant conformational flexibility of both the full-length and recombinant fragments that may be a basis to explain the range of molecules to which rSp0032 binds with high affinity and specificity. Consequently, we propose to change the protein name from rSp0032 to rSpTransformer-E1 (rSpTrf-E1) to reflect the conformational transformation plus the E1 element pattern to distinguish it from other versions in this family (Fig. 1A). A selected set of Sp185/333 proteins representing the diverse sequence variations within this immune protein family are also predicted to be IDPs, and if the results for rSpTrf-E1 can be applied to the Sp185/333 proteins in general, many or most may also show similar structural conformational changes that may be induced by foreign cells or PAMPs. Therefore, we propose to rename the family of Sp185/333 proteins to SpTransformer proteins (SpTrf).

Protein folding predictions for several deduced SpTrf proteins, rSpTrf-E1 (GenBank accession no. DQ183168), and the recombinant fragments from SpTrf-E1 were based on the amino acid sequences and conducted using the DisMeta server (http://www-nmr.cabm.rutgers.edu/bioinformatics/disorder/) (39).

Vector construction, expression in E. coli, and purification of rSpTrf-E1 and the rGly-rich and rHis-rich fragments using bacterial expression vectors were conducted as described (22). rSpTrf-E1 and the rGly-rich and rHis-rich fragments were evaluated by SDS-PAGE stained with Bio-Safe Coomassie (Bio-Rad Laboratories) and by Western blot with anti-SpTrf Abs (formerly anti-Sp185/333 Abs) to identify elution fractions for further protein isolation (22). Protein concentration was quantified by monitoring the absorbance at 205 nm by the Scopes (40) method using a NanoDrop 2000 spectrophotometer (Thermo Fisher Scientific).

CD spectra of recombinant proteins were obtained using a J-1500 spectropolarimeter (Jasco Analytical Instruments). Samples were allowed to equilibrate at least 10 min at room temperature before spectra were collected. Samples were placed in a 1-mm quartz cell (Jasco Analytical Instruments) and evaluated using a 190–260 nm measurement range with 50 nm/min scanning speed, 1-nm bandwidth, and 8-s response time with 1.0-nm data pitch with five scans. Background baseline for CD spectra was corrected with 10 mM sodium phosphate (pH 7.4) containing the same concentrations of SDS, TFE, and LPS in the absence of the proteins. Boxcar smoothing was used to remove signal noise as implemented by convolving the raw input data with a box-shaped pulse of ΣM + Mi + Mi/3, where M stands for the mean. CD spectra were used to calculate the mean residue ellipticity, or θ, with standard units of degrees (deg) × cm2 × dmol−1. The helical character was calculated using the ellipticity ratio (R = θ222207) between the two negative peaks at 222 nm (n → π* electronic transition of carbonyl compound) and 207 nm (parallel component of the split π → π* electron transition of the protein chromophore) (32, 38). For a protein of known concentration and amino acid sequence that is 100% α helical, the ellipticity ratio is R = 1 and this is interpreted as 3.6 residues per turn positioned at an angle of 100° between sequential amino acids around the helical axis. The ellipticity ratio for a 310 helix is R = 0.4 and has 3 aa per turn that are positioned at an angle of 120° between sequential amino acids (41). The 310 helix is narrower and longer than the α helix for a given number of amino acids. The percentages of α helix and β strand were deconvoluted from the CD spectra with the DichroWeb online server using several analysis programs, including CONTINLL, SELCON3, CDSSTR, VARSLC, and K2D (http://dichroweb.cryst.bbk.ac.uk/html/home.shtml) (42, 43). Two additional programs were employed to verify the percentage of secondary structures: the CDNN program uses a neural network to access reference spectra for comparisons and analyses (http://gerald-boehm.de/download/cdnn) (44), and the K2D3 Web server uses a database of theoretical spectra derived with DichroCalc (45). Protein concentrations of 0.25 μM rSpTrf-E1, 9.07 μM rGly-rich fragment, and 2.5 μM rHis-rich fragment were selected to ensure that absorbance was within the optimal range for the instrument at the chosen wavelength range. The effect of temperature on protein secondary structure was determined using CD at temperatures ranging from 4 to 44°C with steps of 5°C.

Bioinformatic analysis of rSpTrf-E1 predicted that it is highly hydrophilic and likely to be intrinsically disordered (22), which is in agreement with analyses of other SpTrf protein variants composed of various element patterns (Supplemental Fig. 1). The element patterns that were chosen for analysis included a range of full-length deduced SpTrf proteins that represent the breadth of diversity within the protein family. These included element patterns defined as A6, D1, B8, C1, E1 (slightly different sequence from rSpTrf-E1), E2, and 01 plus two truncated variants, E2.1 and 01.2. The E2.1 element pattern has a glycine codon altered to a premature stop codon, whereas the 01.2 version has a frameshift that leads to missense sequence and an early stop codon (19). Both likely result from mRNA editing because early stop codons and frameshifts are not present in any gene (26). Secondary structural prediction using PSIPRED revealed that both full-length and truncated proteins of all element patterns contained an N-terminal leader that was predicted to be α helical, and that proteins of all element patterns except E1 and 01.2 had regions at the C terminus with a low probabilities of being α helical (Supplemental Fig. 1). Similarly, the DisMeta analysis also indicated that all full-length and truncated protein variants had an α helical, hydrophobic leader, even though the leaders had slightly different sequences, and that the mature proteins (minus the leader), except for the 01.2 element pattern, were predicted to be intrinsically disordered with poorly defined secondary structure. Unlike the other SpTrf sequences, a high probability of secondary structure was predicted for the missense sequence in the 01.2 element pattern (Supplemental Fig. 1). The C-terminal regions of all the SpTrf proteins showed some probability of secondary structures except for the E1 element pattern, which was predicted to be entirely intrinsically disordered. The bioinformatic prediction for intrinsic disorder also indicated that rSpTrf-E1 was likely to be entirely disordered without any secondary structure (Fig 2A). The rGly-rich and rHis-rich fragments of rSpTrf-E1 were also predicted to be intrinsically disordered except for a low probability of α helical structure for two short N-terminal regions in the rGly-rich fragment based on the PSIPRED prediction (Fig. 2B, 2C). rSpTrf-E1 and the recombinant fragments evaluated in this study did not include the hydrophobic leader but they did include an N-terminal 6 His tag (6-His-tag) and a factor Xa cleavage site that were required for isolation by nickel affinity chromatography. The 6-His-tag was not cleaved prior to evaluation because its presence or absence had no discernable effect on target binding function (22). Bioinformatic predictions of secondary structure showed that the 6-His-tag did not change the low probability predictions of secondary structure (Supplemental Fig. 2).

FIGURE 2.

rSpTrf-E1 and the rGly-rich and rHis-rich fragments are predicted to be intrinsically disordered with minimal secondary structure. The DisMeta server (http://www-nmr.cabm.rutgers.edu/bioinformatics/disorder) (39) generates the secondary structure prediction based on amino acid sequences of rSpTrf-E1 and the two recombinant fragments (the leader sequence is omitted from these results). PSIPRED (top for each sequence) indicates α helix predictions with shades of gray representing the score (<2 [light gray] to 8 [dark gray]) indicating the number of hits of the eight secondary structure predictor programs used in DisMeta server. The DisMeta server shows the consensus results of eight disorder prediction programs (bottom for each protein). (A) rSpTrf-E1 has no predicted secondary structure based on PSIPRED results. The consensus of the intrinsic disorder prediction programs (y-axis) on the DisMeta server also predicts intrinsic disorder based on confidence scores of more than four hits of the eight disordered predictor programs. The rSpTrf-E1 analysis is an update relative to the result reported in Lun et al. (22) and is based on an update to the DisMeta server. (B) The rGly-rich fragment has two regions of low probability for α helices spanning aa 4–16 (indicated by numbers) based on PSIPRED prediction. The disordered consensus predictor programs of the DisMeta server indicate that the rGly-rich fragment is highly disordered. (C) The rHis-rich fragment predictions by PSIPRED indicate no secondary structure for the entire fragment. The DisMeta server also predicts disorder based on more than four of eight hits of the predictor programs. The x-axis for (A)–(C) shows the number of amino acids for each protein.

FIGURE 2.

rSpTrf-E1 and the rGly-rich and rHis-rich fragments are predicted to be intrinsically disordered with minimal secondary structure. The DisMeta server (http://www-nmr.cabm.rutgers.edu/bioinformatics/disorder) (39) generates the secondary structure prediction based on amino acid sequences of rSpTrf-E1 and the two recombinant fragments (the leader sequence is omitted from these results). PSIPRED (top for each sequence) indicates α helix predictions with shades of gray representing the score (<2 [light gray] to 8 [dark gray]) indicating the number of hits of the eight secondary structure predictor programs used in DisMeta server. The DisMeta server shows the consensus results of eight disorder prediction programs (bottom for each protein). (A) rSpTrf-E1 has no predicted secondary structure based on PSIPRED results. The consensus of the intrinsic disorder prediction programs (y-axis) on the DisMeta server also predicts intrinsic disorder based on confidence scores of more than four hits of the eight disordered predictor programs. The rSpTrf-E1 analysis is an update relative to the result reported in Lun et al. (22) and is based on an update to the DisMeta server. (B) The rGly-rich fragment has two regions of low probability for α helices spanning aa 4–16 (indicated by numbers) based on PSIPRED prediction. The disordered consensus predictor programs of the DisMeta server indicate that the rGly-rich fragment is highly disordered. (C) The rHis-rich fragment predictions by PSIPRED indicate no secondary structure for the entire fragment. The DisMeta server also predicts disorder based on more than four of eight hits of the predictor programs. The x-axis for (A)–(C) shows the number of amino acids for each protein.

Close modal

CD was employed to assess experimentally the validity of the bioinformatic predictions for rSpTrf-E1 and the recombinant fragments. Alternative approaches to determine structure were not used because high concentrations of rSpTrf-E1 that would be required for nuclear magnetic resonance or x-ray crystallography would drive multimerization of the protein, which has been repeatedly noted for native SpTrf proteins (13, 21) and has been documented for rSpTrf-E1 (reported previously as Sp0032) as multimers (7) and dimers (22). The concentration of 0.25 μM rSpTrf-E1 in phosphate buffer was determined as optimal for CD (Supplemental Fig. 3A), which showed spectra with a negative peak at 199 nm indicating predominantly random coil or intrinsic disorder (see 0 mM SDS; Fig. 3A, Table I), which was consistent with our prediction (Fig. 2A; see Ref. 22). Analysis of the CD spectrum indicated that rSpTrf-E1 was ∼1.6% α helical (Fig. 3B), which was in agreement with the bioinformatic prediction. Optimization of rGly-rich and rHis-rich fragment concentrations in phosphate buffer for CD analysis (Supplemental Fig. 3B, 3C) resulted in spectra indicating that they were ∼15 and 30% α helical, respectively (see 0 mM SDS in Fig. 3C–F, Table I). These CD results confirmed that rSpTrf-E1 was an IDP; however, the α helical content observed for the rGly-rich and rHis-rich fragments did not agree with the predictions from bioinformatic analyses (Fig. 2B, 2C).

FIGURE 3.

SDS induces secondary structural changes in rSpTrf-E1 and intensifies the α helical signals of the recombinant fragments. (A) The CD spectrum for rSpTrf-E1 in 10 mM phosphate buffer (pH 7.4; in the absence of SDS) suggests intrinsic disorder. In increasing concentrations of SDS, spectra show changes consistent with a transformation to α helical structure. [θ] indicates mean residue ellipticity with standard units of deg × cm2 × dmol−1 (see 2Materials and Methods). (B) The percentage of α helical structure in rSpTrf-E1 increases from 1.57 to 79% with increasing concentrations of SDS. (C) The CD spectra for the rGly-rich fragment show intensified signals of α helical structure with increasing concentrations of SDS. (D) The percentage of α helical structure in the rGly-rich fragment increases from 15 to 75% with increasing concentrations SDS. (E) The CD spectra for the rHis-rich fragment show intensified signals of α helical structure with increasing concentrations of SDS. (F) The percentage of α helical structure for the rHis-rich fragment increases from 29 to 70% with increasing concentrations of SDS. Percentages of α helical structure for each protein in (B), (C), and (F) were calculated based on the deconvolution of CD spectra using CD analysis software tools (see 2Materials and Methods).

FIGURE 3.

SDS induces secondary structural changes in rSpTrf-E1 and intensifies the α helical signals of the recombinant fragments. (A) The CD spectrum for rSpTrf-E1 in 10 mM phosphate buffer (pH 7.4; in the absence of SDS) suggests intrinsic disorder. In increasing concentrations of SDS, spectra show changes consistent with a transformation to α helical structure. [θ] indicates mean residue ellipticity with standard units of deg × cm2 × dmol−1 (see 2Materials and Methods). (B) The percentage of α helical structure in rSpTrf-E1 increases from 1.57 to 79% with increasing concentrations of SDS. (C) The CD spectra for the rGly-rich fragment show intensified signals of α helical structure with increasing concentrations of SDS. (D) The percentage of α helical structure in the rGly-rich fragment increases from 15 to 75% with increasing concentrations SDS. (E) The CD spectra for the rHis-rich fragment show intensified signals of α helical structure with increasing concentrations of SDS. (F) The percentage of α helical structure for the rHis-rich fragment increases from 29 to 70% with increasing concentrations of SDS. Percentages of α helical structure for each protein in (B), (C), and (F) were calculated based on the deconvolution of CD spectra using CD analysis software tools (see 2Materials and Methods).

Close modal
Table I.
Secondary structures and CD spectra peak ellipticity ratios of rSpTrf-E1 and the recombinant fragments

Phosphate Buffer
SDSa
TFEb
LPSc
Wavelength (nm)
Signal Intensity (θ)
Wavelength (nm)
Signal Intensity (θ)
Wavelength (nm)
Signal Intensity (θ)
rSpTrf-E1 Disordered α Helical α Helical α Helical 
 n → π*  222.0 −6.68 × 107 221.2 −1.69 × 108 222.0 −7.44 × 108 
 π → π*  206.2 −1.13 × 108 207.8 −1.69 × 108 206.8 −11.23 × 108 
 Ratio   0.59   0.66 
rGly-rich α Helical α Helical β Strand β Strand 
 n → π*  221.4 −1.01 × 107 N/A N/A 
 π → π*  207.6 −1.30 × 107    
 Ratio   0.78     
rHis-rich α Helical α Helical β Strand α Helical 
 n → π*  221.4 −2.07 × 108 N/A 221.2 −2.05 × 108 
 π → π*  207.4 −2.71 × 108   207.6 −2.63 × 108 
 Ratio   0.76    0.78 

Phosphate Buffer
SDSa
TFEb
LPSc
Wavelength (nm)
Signal Intensity (θ)
Wavelength (nm)
Signal Intensity (θ)
Wavelength (nm)
Signal Intensity (θ)
rSpTrf-E1 Disordered α Helical α Helical α Helical 
 n → π*  222.0 −6.68 × 107 221.2 −1.69 × 108 222.0 −7.44 × 108 
 π → π*  206.2 −1.13 × 108 207.8 −1.69 × 108 206.8 −11.23 × 108 
 Ratio   0.59   0.66 
rGly-rich α Helical α Helical β Strand β Strand 
 n → π*  221.4 −1.01 × 107 N/A N/A 
 π → π*  207.6 −1.30 × 107    
 Ratio   0.78     
rHis-rich α Helical α Helical β Strand α Helical 
 n → π*  221.4 −2.07 × 108 N/A 221.2 −2.05 × 108 
 π → π*  207.4 −2.71 × 108   207.6 −2.63 × 108 
 Ratio   0.76    0.78 

Signal intensity (θ = deg × cm2 × dmol−1) for negative maximum at 207 nm (parallel component of the split π → π* electronic transition of the protein chromophore) and a weaker shoulder at 222 nm (n → π* transition) are obtained in the presence of TFE, SDS, or LPS. The ellipticity ratios (R = θ222207) predict differences in the tightness of the α helical twist.

a

SDS concentrations: 20–50 mM for rSpTrf-E1 and rHis-rich fragment, 20–40 mM for rGly-rich fragment.

b

TFE concentrations: 30–40% for rSpTrf-E1, 40% for rGly-rich fragment, 30–40% for rHis-rich fragment.

c

LPS concentrations: 1–5% (w/v) for rSpTrf-E1, 32.5–42.5% for the rGly-rich fragment, 1.5–2% for the rHis-rich fragment.

N/A, not applicable.

To determine whether rSpTrf-E1 and the recombinant fragments altered their secondary structure with respect to changes in temperature, CD spectra were collected over a temperature span of 4–44°C using a thermoregulated cuvette. This range was chosen because purple sea urchins live along the near-shore Pacific coastline of North America from Mexico to Alaska (46) in temperatures that range from 5 to 23°C with mortality noted at temperatures >24°C (47). CD results showed that the protein structures in phosphate buffer remained unchanged with respect to temperature (Supplemental Fig. 3D–F). Consequently, all subsequent analyses were carried out at room temperature.

SDS is a common anionic surfactant that emulates the amphipathic properties of anionic lipid environments and is commonly used for assessing the secondary structure of membrane-active peptides and proteins under such conditions (32). When SDS was added to rSpTrf-E1, increasing concentrations altered the CD spectra, indicating a change from mostly disordered toward an α helical character with a positive peak at 193 nm, a negative peak at 206.8 nm, and at weak shoulder at 222 nm (Fig. 3A). The structural transition of rSpTrf-E1 from disordered to α helical was immediate upon the addition of 10 mM SDS, and the CD spectra intensified slightly and stabilized between 20 and 30 mM SDS (Fig. 3A, 3B). Furthermore, the ellipticity ratio of R = 0.59 in 20–50 mM SDS (Table I) observed in the CD spectra indicated unique secondary structural contributions that deviate from canonical α helices. This result suggested that the rSpTrf-E1 was not a fully classical α helix in SDS (see 2Materials and Methods) (32, 38). Overall, the observed conformational changes in SpTrf-E1 as the concentration of SDS was increased from 0 to 30 mM indicated that it transformed from disordered to 79% α helical structure (Fig. 3B, Table I). These analyses, however, did not specify the region(s) of the protein that transformed to an α helical character, which was beyond the scope of this analysis.

When the rGly-rich fragment was evaluated in the presence of increasing concentrations of SDS, the α helical signal in the CD spectra intensified with a positive peak at 193 nm and two negative peaks: a major negative peak at 207.6 nm, and a weak shoulder at 221.4 nm (Fig. 3C). This resulted in an ellipticity ratio of R = 0.78 in 40 mM SDS (Table I), which was higher than the R value for rSpTrf-E1 in SDS, suggesting a closer resemblance to α helical structural properties. As the SDS concentration was increased from 0 to 30 mM, the percentage of α helical content in the rGly-rich fragment increased from ∼15 to 75% (Fig. 3D). CD spectra for the rHis-rich fragment were similar, showing an α helical structure with a strong positive peak at 196.4 nm and a strong negative peak at 207.4 nm with a weak shoulder at 221.4 nm (Fig. 3E). The calculated ellipticity ratio of R = 0.76 (Table I) was very similar to the R value of the rGly-rich fragment, suggesting a similar α helical structure. The percentage of α helical content of the rHis-rich fragment increased from ∼30 to ∼70% when SDS was increased from 0 to 10 mM (Fig. 3F). Overall, these results demonstrated that rSpTrf-E1 transformed from intrinsically disordered to α helical in the presence of SDS, whereas the rGly-rich and rHis-rich fragments had unexpected levels of α helical structure in the absence of SDS. Furthermore, as the concentration of SDS increased, the percentage of α helical content also increased for all three recombinant proteins. In all cases, rSpTrf-E1 and the rGly-rich and rHis-rich fragments appeared to be flexible and to alter their secondary structures in this anionic amphipathic environment.

TFE is employed in CD studies because it tends to stabilize and promote α helical conformation in proteins and peptides (32). When TFE was added to rSpTrf-E1, the CD spectra indicated a structural change from intrinsically disordered with a negative peak at 200 nm to α helical showing characteristic negative peaks at 222.4 and 206.8 nm at 10% TFE (Fig. 4A). Spectra of the protein in 20% TFE shifted the negative peak at 206.8 to 207 nm, and the spectra stabilized at >20% TFE with two prominent negative peaks at 222.4 and 207.6 nm (Fig. 4A). Deconvolution of the CD spectra suggested that the α helical character of rSpTrf-E1 increased from 1 to 95% as the concentration of TFE increased. With an ellipticity ratio of R = 1 (Table I), the structure of rSpTrf-E1 appeared to have shifted to a classical α helical structure in 50% TFE (Fig. 4B). The rGly-rich fragment gave very different results in increasing concentrations of TFE. In phosphate buffer the rGly-rich fragment was ∼15% α helical, but as TFE concentration increased from 20 to 40%, the observed CD spectra were consistent with a shift to β strand structure, which was evident from the intensified positive peak at 195 nm and a broad negative peak at 224 nm (Fig. 4C). This conformational shift in the presence of increasing concentrations of TFE reduced the α helical structure to ∼3% (Fig. 4D). The changes in percentage of β strand structure could not be calculated using DichroWeb because the unusual and rare peak at 224 nm did not correlate with a spectrum of any known protein. Thus, in the presence of TFE, which is generally known to stabilize α helical structures, the rGly-rich fragment underwent a conformational shift from α helical to predominantly β strand (Fig. 4C). Similarly, the CD spectra of the rHis-rich fragment also shifted from α helical to β strand with increasing concentrations of TFE (Fig. 4E). CD spectra showed a single negative peak at 214.2 nm that appeared at 10% TFE and intensified at 30% TFE, indicating the shift to a β strand conformation. In the absence of TFE, the rHis-rich fragment was ∼30% α helical, which decreased to ∼3% in TFE concentrations of ≥10% (Fig. 4F). The decrease in the α helical structure corresponded with an increase in a β strand structure of 33–46% as TFE increased from 10 to 30%. Overall, in the presence of TFE, the structure of rSpTrf-E1 shifted from disordered to α helical, whereas TFE induced the recombinant fragments to shift from α helical to predominantly β strand. These significant differences indicated that when the regions of rSpTrf-E1 were separated and expressed as recombinant fragments, they had very different and unexpected properties relative to the properties of the full-length protein.

FIGURE 4.

TFE induces rSpTrf-E1 transformation to α helical structure and the recombinant fragments to β strands. (A) The CD spectra for rSpTrf-E1 suggest a transformation from disordered to a distinct α helical structure with increasing concentrations of TFE. For the definition of [θ], see the legend for Fig. 2 and 2Materials and Methods. (B) The percentage of α helical structure for rSpTrf-E1 increases from 1 to 95% with increasing concentrations of TFE as evaluated by the CDNN program and two Web servers, K2D3 and DichroWeb. (C) CD spectra for the rGly-rich fragment maintains the α helical signal in 10% TFE and transforms from α helical to β strand signals in ≥20% TFE. (D) The percentage of α helical structure for the rGly-rich fragment decreases from 15 to 3.26% with increasing concentrations of TFE. The percentage of β strand structure could not be calculated using DichroWeb, K2D3, or CDNN because of the unusual negative peak at 224 nm. (E) The CD spectra for the rHis-rich fragment indicates a transformation from α helical structure to β strand with increasing concentrations of TFE. (F) The rHis-rich fragment is 29.8% α helical in phosphate buffer and decreases to ∼3% α helical structure and an increase of the β strand structure from 33 to 46% with increasing concentrations of TFE.

FIGURE 4.

TFE induces rSpTrf-E1 transformation to α helical structure and the recombinant fragments to β strands. (A) The CD spectra for rSpTrf-E1 suggest a transformation from disordered to a distinct α helical structure with increasing concentrations of TFE. For the definition of [θ], see the legend for Fig. 2 and 2Materials and Methods. (B) The percentage of α helical structure for rSpTrf-E1 increases from 1 to 95% with increasing concentrations of TFE as evaluated by the CDNN program and two Web servers, K2D3 and DichroWeb. (C) CD spectra for the rGly-rich fragment maintains the α helical signal in 10% TFE and transforms from α helical to β strand signals in ≥20% TFE. (D) The percentage of α helical structure for the rGly-rich fragment decreases from 15 to 3.26% with increasing concentrations of TFE. The percentage of β strand structure could not be calculated using DichroWeb, K2D3, or CDNN because of the unusual negative peak at 224 nm. (E) The CD spectra for the rHis-rich fragment indicates a transformation from α helical structure to β strand with increasing concentrations of TFE. (F) The rHis-rich fragment is 29.8% α helical in phosphate buffer and decreases to ∼3% α helical structure and an increase of the β strand structure from 33 to 46% with increasing concentrations of TFE.

Close modal

The multitasking binding of rSpTrf-E1 toward a few PAMPs in conjunction with the bioinformatic prediction and CD evidence that it was an IDP led to the speculation that the protein might undergo conformational transformations in the presence of different binding targets (22). Therefore, to determine whether rSpTrf-E1 underwent conformational changes upon binding PAMPs, it was evaluated by CD in the presence of LPS, which was selected in part because LPS forms micelles and does not have a significant impact on observed CD spectra, unlike flagellin. In the presence of LPS, rSpTrf-E1 transformed immediately from intrinsically disordered to α helical regardless of the LPS concentration (Fig. 5A). CD spectra intensified and then stabilized as the concentration of LPS increased (0.5–5%), exhibiting a positive peak at 193 nm and two negative peaks of which the stronger was at 207 nm plus a weak negative shoulder at 222 nm (Fig. 5A), which yielded an ellipticity ratio of R = 0.66 (Table I). rSpTrf-E1 transformed from disordered (1% α helical) in the absence of LPS to a maximum of 78% α helical structure in 5% LPS, although most of the transformation occurred at 0.5% LPS, which was the lowest concentration tested (Fig. 5B). The conformational change was similar to that for rSpTrf-E1 in the presence of SDS and TFE.

FIGURE 5.

rSpTrf-E1 transforms from disordered to α helical and the recombinant fragments shift to different secondary conformations in the presence of LPS. (A) The CD spectra for rSpTrf-E1 show a transformation from disordered to α helical structure at all percentage concentrations of LPS (w/v). (B) rSpTrf-E1 is disordered in the absence of LPS (1% α helical structure), which increases to 78% with increasing concentrations of LPS as evaluated by the CDNN program and two Web servers, K2D3 and DichroWeb. (C) The rGly-rich fragment shifts from α helical structure to β strand structure with increasing concentrations of LPS. (D) The rGly-rich fragment is 33% α helical structure in 2.5% LPS, which decreases to 3% α helical in increasing concentrations of LPS. Concurrently, the β strand structure increases from 17% in phosphate buffer to 78% in LPS of >32.5%. (E) The CD spectra for the rHis-rich fragment suggest an α helical structure that intensifies with increasing concentrations of LPS. (F) The rHis-rich fragment increases the α helical structure from 29 to 72% with increasing concentrations of LPS.

FIGURE 5.

rSpTrf-E1 transforms from disordered to α helical and the recombinant fragments shift to different secondary conformations in the presence of LPS. (A) The CD spectra for rSpTrf-E1 show a transformation from disordered to α helical structure at all percentage concentrations of LPS (w/v). (B) rSpTrf-E1 is disordered in the absence of LPS (1% α helical structure), which increases to 78% with increasing concentrations of LPS as evaluated by the CDNN program and two Web servers, K2D3 and DichroWeb. (C) The rGly-rich fragment shifts from α helical structure to β strand structure with increasing concentrations of LPS. (D) The rGly-rich fragment is 33% α helical structure in 2.5% LPS, which decreases to 3% α helical in increasing concentrations of LPS. Concurrently, the β strand structure increases from 17% in phosphate buffer to 78% in LPS of >32.5%. (E) The CD spectra for the rHis-rich fragment suggest an α helical structure that intensifies with increasing concentrations of LPS. (F) The rHis-rich fragment increases the α helical structure from 29 to 72% with increasing concentrations of LPS.

Close modal

The conformational properties of the recombinant fragments were also evaluated in the presence of LPS. CD spectra for the rGly-rich fragment shifted from an α helical structure toward β strand with increasing concentrations of LPS (Fig. 5C). Starting at 12.5% LPS, the spectra exhibited a negative peak at 212 nm that intensified and stabilized as the concentration of LPS increased to 32.5%. These changes corresponded with 27.5–33% α helical structure in phosphate buffer or in 2.5% LPS, respectively. In LPS concentrations of ≥12.5%, the α helical content of the rGly-rich fragment decreased from 15 to 3% (Fig. 5D). This change correlated with a structural shift of 17–78% β strand in the rGly-rich fragment as the LPS concentration increased. Unlike the rGly-rich fragment, the rHis-rich fragment remained α helical in the presence of LPS (Fig. 5E). CD spectra indicated a strong positive peak at 193 nm with two negative peaks, the stronger of which was at 207.6 nm plus a weaker negative shoulder at 221.2 nm (Fig. 5E). This indicated that the rHis-rich fragment was 30% α helical in the absence of LPS, which increased to 62% α helical in 0.5% LPS and stabilized at >65% α helical in ≥1.25% LPS (Fig. 5F). The rHis-rich fragment ellipticity ratio of R = 0.78 (Table I) was comparable to the ratio in SDS, suggesting that this fragment shared a similar helical structure in the anionic environment with the helical structure predicted for rSpTrf-E1. Overall, rSpTrf-E1 and recombinant fragments reacted quite differently in the presence of LPS. rSpTrf-E1 transformed from an IDP to α helical structure, and the rHis-rich fragment was somewhat similar as it increased its α helical content, whereas the rGly-rich fragment responded by transforming from α helical to β strand. Furthermore, the concentration of LPS at which conformational changes were observed was much higher for the rGly-rich fragment compared with rSpTrf-E1 and the rHis-rich fragment. The major difference between the rGly-rich fragment compared with rSpTrf-E1 and the rHis-rich fragment is the histidine content. There are 27 histidines in the His-rich region of the protein, whereas there are no histidines in the Gly-rich region (see supplemental table III in Ref. 22). No other amino acid has the same distribution and may be an aspect of the differences in interactions with LPS among the recombinant proteins.

The multitasking binding ability of rSpTrf-E1 toward multiple targets plus its bioinformatic prediction as an IDP led to the speculation that this protein may function through conformational plasticity (22). Indeed, we confirm that in the absence of a binding target, rSpTrf-E1 is an IDP based on CD spectra. In the presence of SDS, TFE, or LPS it shows structural flexibility by shifting from intrinsic disorder to α helical, thus supporting predictions for its structural transformation capabilities. The rHis-rich fragment is similar to rSpTrf-E1 in its conformational transformation to α helical structure in SDS and LPS, but switches to β strand in TFE. In contrast, the rGly-rich fragment intensifies the α helical structure in the presence of SDS but switches from α helical to β strand in TFE and LPS. Although rSpTrf-E1 is a rare element pattern of the deduced SpTrf protein sequences [the E1 element pattern was identified in 3 of 688 cDNA sequences (11, 19) and 1 of 171 gene sequences (6)], it provides novel predictions that many of the SpTrf protein variants are antimicrobial IDPs that may also function through conformational plasticity. This is based on bioinformatic predictions for a wide range of deduced amino acid sequences for the SpTrf proteins, including the most common element pattern, E2, suggesting that all may be IDPs (Supplemental Fig. 1; D.P. Terwilliger and L.C. Smith, unpublished observations) and we hypothesize that they may show different secondary structural changes in the presence of a wide range of binding targets.

We have hypothesized that the initial step in rSpTrf-E1 binding to multiple targets involves noncovalent electrostatic interactions that is followed by a second phase of binding based on conformational plasticity by transformation from intrinsic disorder to ordered folds (22). IDPs have distinctive characteristics that are unlike orderly folded proteins. The disordered nature of IDPs generates structural flexibility allowing conformational plasticity to create a range of complexes that provide extraordinary advantages for interactions with multiple binding targets (48, 49). Binding to multiple targets by IDPs is known as “one-to-many” interactions, with the potential for an IDP to undergo a variety of independent folding transitions that generate multidimensional complexes upon binding to different specific targets. The possible mechanism by which this occurs may be related to the amino acid sequence of the IDP, which may shift into α helices, β strands and sheets, or irregular structures upon interacting with and binding to a specific target (28).

The multitasking binding nature of IDPs represents a type of binding interaction that is not expected to occur among the classical molecular recognition mechanisms that function for folded proteins. Rather than the lock and key (50) or the induced fit (51) theories of how ordered proteins bind to specific targets, additional models have been proposed to describe the molecular folding mechanisms of IDP conformational plasticity. One of these models is the “polyelectrostatic” model of dynamic complexes (49, 5254) that may be applicable to rSpTrf-E1. This model suggests a cumulative electrostatic interaction of charges in the IDP when in the presence of the binding target (52, 54). Initial interactions result in a highly disordered complex in which the positively charged amino acids of the IDP interact weakly with the negatively charged amino acids (or other groups) in the binding target. These transient but cumulative electrostatic interactions may contribute to strong binding affinity, which may create an electrostatic field that can drive structural changes in the IDP (55). This model may apply to rSpTrf-E1 because the amino acid sequence is rich in charged and polar amino acids (22), suggesting that a polyelectrostatic mechanism may act in initial interactions with Gram-negative bacteria and LPS. LPS has anionic phosphates on both the glucosamine sugar in lipid A and the polysaccharide core (56), which may be the basis for forming charge-based interactions or hydrogen bonds with the histidines in rSpTrf-E1 (22). These types of electrostatic interactions may constitute an initial step in the interactions between rSpTrf-E1 and a variety of targets with anionic groups.

Conformational changes in proteins have important biological functions that are essential to life. They are involved in cellular signaling pathways, including development, growth control, sensory signal mediation, pathogen infection, and host immune systems (48, 55, 57). IDPs undergo significant changes in structure upon receiving an input signal, such as ligand binding, environmental changes, or chemical modifications (57). A relevant example of well-understood IDPs is cecropins, which are small cationic antimicrobial peptides that display broad antibacterial activity (58). Cecropins are produced by the silk moth, Hyalophora cecropia, and are intrinsically disordered and inactive in noninfected hosts. However, upon contact with negatively charged microbial membranes, they transform into two short amphipathic α helices linked by a short hinge region, and they associate with membrane surfaces on microbes. Multiple amphipathic cecropins accumulate, aggregate into a “carpet” that inserts into the hydrophobic region of the membrane, and generate partially selective ion channels. This action causes membrane permeabilization and leakage of microbial cell contents that leads to killing (58, 59). An example of a protein with an IDR is the influenza hemagglutinin (HA) that mediates interactions between the viral membrane and the host cell membrane (60). HA anchors the virus to the cellular receptor and, once docked, induces cellular endocytosis into the cell. The reduction in pH within the endosome leads to proton binding to HA that triggers a conformational change to alter the random coil structure of the IDR to α helices that promote viral fusion with the target cell membrane. Although these are well-understood examples of IDP and IDR activities, they are also examples of how disordered regions of proteins are employed on both sides of the arms race: in the defense mounted by the host immune system and in pathogen virulence.

Despite the differences in sequence and functional activities of rSpTrf-E1 compared with cecropins and HA, rSpTrf-E1 shows similar flexible structural transformation upon binding to a range of targets, particularly with regard to the formation of α helices. We have speculated that the second step in rSpTrf-E1 binding is protein conformational transformation (22), and we show in this study that rSpTrf-E1 transforms from an IDP to α helical, which may be the underlying basis for the very strong affinity and specific binding to microbes and PAMPs that have vast structural differences. This type of target binding is partially reminiscent of the template theory of Ab formation (61) in which an Ab with two extended and unstable (or disordered) regions are folded and stabilized into shapes that are complementary to the Ag with which it is in contact and to which it can subsequently bind after dissociation and entrance into circulation. The aspect of Pauling’s theory that applies to the sea urchin SpTrf system is that rSpTrf-E1 is unfolded but interactions with a foreign target initiate binding and folding based on the characteristics of the foreign target. It is interesting to consider that Pauling may have been correct in one aspect of his speculation for generating diversity in some Ag-binding proteins, but that it did not apply to vertebrate antibodies.

When separated, the recombinant fragments transform differently compared with rSpTrf-E1 and relative to their bioinformatic predictions. These differences may be biologically relevant, particularly for the rGly-rich fragment, which represents a common truncated SpTrf protein variant (19) that is expressed at higher levels in sea urchins prior to immune challenge compared with the full-length SpTrf proteins that tend to be more highly expressed after immune challenge (13, 19, 21). Most truncated SpTrf proteins are essentially composed of the Gly-rich region and may serve a surveillance function in sea urchins prior to immune challenge (22). This speculation is also based on a broadened binding activity by the rGly-rich fragment to Bacillus sp. to which rSpTrf-E1 does not bind and correlates with only partial competition by rSpTrf-E1 with the rGly-rich fragment for binding to yeast (22). The CD spectra results for the rGly-rich fragment indicate that it either intensifies the α helical structure or shifts from α helical to β strand structure depending on the polar solution environment and the biochemical characteristics of the target. This result, if applied to the naturally occurring truncated SpTrf proteins, suggests that many may also shift into different secondary structural conformations compared with the full-length proteins. Alternatively, the rHis-rich fragment, which displays similar structural flexibility as rSpTrf-E1, intensifies its α helical structure in the presence of LPS and is fully competed by rSpTrf-E1 for binding to yeast (22), suggesting identical binding mechanisms. Whether the structural transformations of the recombinant fragments and rSpTrf-E1 as deduced from CD spectra are directly related to the binding activities of these proteins in vivo remains speculative. However, the more specific binding by rSpTrf-E1 to bacteria as reported by Lun et al. (22) indicates that the Gly-rich and His-rich regions in the full-length protein may interact with each other to impart this restricted range of bacterial binding.

In conclusion, purple sea urchins have a surprisingly long life span of ∼50 y (62) and depend only on innate immunity for protection against a wide array of marine pathogens. That echinoderms may only have innate immunity is based on allograft rejections that do not show accelerated rejection of second set allografts (63) and the failure to find accelerated clearance of bacteria upon second challenge (64) among other reports (reviewed in Ref. 63). Annotation of the sea urchin genome sequence reveals a number of expanded innate immune gene families with homologs in vertebrates such as TLRs, NOD-like receptors, scavenger receptors with cysteine-rich domains, small C-type lectins, and IL-17–like cytokines, all of which likely underlie at least some of the immune activities that result in successful adversarial interactions with multitudes of potential marine pathogens (13, 5, 65). Homologs of vertebrate genes suggesting adaptive functions have not been identified in the sea urchin genome sequence. The sequence diversity and upregulated expression by the SpTrf gene family (formerly called the Sp185/333 gene family) in response to immune challenges indicate its importance in the innate immune system of the purple sea urchin (reviewed in Refs. 8, 10). Multiple levels of diversification mechanisms that perhaps maximize the antipathogen activities of this protein family have been suggested, including putative gene diversification, transcript editing, and posttranslational modifications that generate a broad array of SpTrf proteins both within and among sea urchins (reviewed in Refs. 10, 25). The multitasking binding ability (22) and verification of rSpTrf-E1 as an IDP provide an unusual perspective for how this protein family may function as immune effectors for at least opsonizing and perhaps killing pathogens. The specificity of rSpTrf-E1 binding to certain bacterial species and to some PAMPs suggests that other rSpTrf proteins with different element patterns may have different binding specificities, which raises the question of whether a detailed analysis of expression patterns for individual SpTrf versions may reveal a level of immune response specificity similar to that reported for DSCAM in some arthropods (reviewed in Ref. 66). The deduced SpTrf protein variants are predicted bioinformatically to be IDPs, and many (or all) may have multitasking binding activity based on structural transformation that may be more or less similar to rSpTrf-E1. Individual sea urchins are known to express many SpTrf isoforms (13, 21) and if each variant has overlapping but distinct multitasking binding activities that can target simultaneously multiple PAMPs, these proteins may provide purple sea urchins with a highly capable and robust immune response for protection against the broad array of potential marine pathogens.

We are grateful to Anika Armstrong (George Mason University) for assistance with CD, and to Hung-Yen Chou for general laboratory assistance.

This work was supported by funding from the Wilbur V. Harlan Trust of the Department of Biological Sciences at George Washington University, the Cosmos Club (Washington, DC), and Columbian College of Arts and Sciences summer dissertation fellowships (to C.M.L.), as well as by National Science Foundation Grants IOS-1146124 and IOS-1550474 (to L.C.S.).

The online version of this article contains supplemental material.

Abbreviations used in this article:

CD

circular dichroism

deg

degree

HA

hemagglutinin

6-His-tag

N-terminal 6 His tag

IDP

intrinsically disordered protein

IDR

intrinsically disordered region

PAMP

pathogen-associated molecular pattern

rSpTrf-E1

rSpTransformer-E1

SpTrf

SpTransformer

TFE

2,2,2-trifluoroethanol.

1
Sodergren
E.
,
Weinstock
G. M.
,
Davidson
E. H.
,
Cameron
R. A.
,
Gibbs
R. A.
,
Angerer
R. C.
,
Angerer
L. M.
,
Arnone
M. I.
,
Burgess
D. R.
,
Burke
R. D.
, et al
Sea Urchin Genome Sequencing Consortium
.
2006
.
The genome of the sea urchin Strongylocentrotus purpuratus. [Published erratum appears in 2007 Science 315: 766]
Science
314
:
941
952
.
2
Rast
J. P.
,
Smith
L. C.
,
Loza-Coll
M.
,
Hibino
T.
,
Litman
G. W.
.
2006
.
Genomic insights into the immune system of the sea urchin.
Science
314
:
952
956
.
3
Hibino
T.
,
Loza-Coll
M.
,
Messier
C.
,
Majeske
A. J.
,
Cohen
A. H.
,
Terwilliger
D. P.
,
Buckley
K. M.
,
Brockton
V.
,
Nair
S. V.
,
Berney
K.
, et al
.
2006
.
The immune gene repertoire encoded in the purple sea urchin genome.
Dev. Biol.
300
:
349
365
.
4
Buckley
K. M.
,
Rast
J. P.
.
2012
.
Dynamic evolution of Toll-like receptor multigene families in echinoderms.
Front. Immunol.
3
:
136
.
5
Buckley
K. M.
,
Rast
J. P.
.
2015
.
Diversity of animal immune receptors and the origins of recognition complexity in the deuterostomes.
Dev. Comp. Immunol.
49
:
179
189
.
6
Buckley
K. M.
,
Smith
L. C.
.
2007
.
Extraordinary diversity among members of the large gene family, 185/333, from the purple sea urchin, Strongylocentrotus purpuratus.
BMC Mol. Biol.
8
:
68
.
7
Brockton
V.
,
Henson
J. H.
,
Raftos
D. A.
,
Majeske
A. J.
,
Kim
Y. O.
,
Smith
L. C.
.
2008
.
Localization and diversity of 185/333 proteins from the purple sea urchin—unexpected protein-size range and protein expression in a new coelomocyte type.
J. Cell Sci.
121
:
339
348
.
8
Ghosh
J.
,
Buckley
K. M.
,
Nair
S. V.
,
Raftos
D. A.
,
Miller
C.
,
Majeske
A. J.
,
Hibino
T.
,
Rast
J. P.
,
Roth
M.
,
Smith
L. C.
.
2010
.
Sp185/333: a novel family of genes and proteins involved in the purple sea urchin immune response.
Dev. Comp. Immunol.
34
:
235
245
.
9
Miller
C. A.
,
Buckley
K. M.
,
Easley
R. L.
,
Smith
L. C.
.
2010
.
An Sp185/333 gene cluster from the purple sea urchin and putative microsatellite-mediated gene diversification.
BMC Genomics
11
:
575
.
10
Smith
L. C.
2012
.
Innate immune complexity in the purple sea urchin: diversity of the Sp185/333 system.
Front. Immunol.
3
:
70
.
11
Terwilliger
D. P.
,
Buckley
K. M.
,
Mehta
D.
,
Moorjani
P. G.
,
Smith
L. C.
.
2006
.
Unexpected diversity displayed in cDNAs expressed by the immune cells of the purple sea urchin, Strongylocentrotus purpuratus.
Physiol. Genomics
26
:
134
144
.
12
Ghosh
J.
,
Lun
C. M.
,
Majeske
A. J.
,
Sacchi
S.
,
Schrankel
C. S.
,
Smith
L. C.
.
2011
.
Invertebrate immune diversity.
Dev. Comp. Immunol.
35
:
959
974
.
13
Sherman
L. S.
,
Schrankel
C. S.
,
Brown
K. J.
,
Smith
L. C.
.
2015
.
Extraordinary diversity of immune response proteins among sea urchins: nickel-isolated Sp185/333 proteins show broad variations in size and charge.
PLoS One
10
:
e0138892
.
14
Henson
J. H.
,
Svitkina
T. M.
,
Burns
A. R.
,
Hughes
H. E.
,
MacPartland
K. J.
,
Nazarian
R.
,
Borisy
G. G.
.
1999
.
Two components of actin-based retrograde flow in sea urchin coelomocytes.
Mol. Biol. Cell
10
:
4075
4090
.
15
Edds
K. T.
1993
.
Cell biology of echinoid coelomocytes.
J. Invert. Pathol.
61
:
173
178
.
16
Henson
J. H.
,
Nesbitt
D.
,
Wright
B. D.
,
Scholey
J. M.
.
1992
.
Immunolocalization of kinesin in sea urchin coelomocytes. Association of kinesin with intracellular organelles.
J. Cell Sci.
103
:
309
320
.
17
Majeske
A. J.
,
Oleksyk
T. K.
,
Smith
L. C.
.
2013
.
The Sp185/333 immune response genes and proteins are expressed in cells dispersed within all major organs of the adult purple sea urchin.
Innate Immun.
19
:
569
587
.
18
Gross
P. S.
,
Clow
L. A.
,
Smith
L. C.
.
2000
.
SpC3, the complement homologue from the purple sea urchin, Strongylocentrotus purpuratus, is expressed in two subpopulations of the phagocytic coelomocytes.
Immunogenetics
51
:
1034
1044
.
19
Terwilliger
D. P.
,
Buckley
K. M.
,
Brockton
V.
,
Ritter
N. J.
,
Smith
L. C.
.
2007
.
Distinctive expression patterns of 185/333 genes in the purple sea urchin, Strongylocentrotus purpuratus: an unexpectedly diverse family of transcripts in response to LPS, β-1,3-glucan, and dsRNA.
BMC Mol. Biol.
8
:
16
.
20
Roth
M. O.
,
Wilkins
A. G.
,
Cooke
G. M.
,
Raftos
D. A.
,
Nair
S. V.
.
2014
.
Characterization of the highly variable immune response gene family, He185/333, in the sea urchin, Heliocidaris erythrogramma.
PLoS One
9
:
e62079
.
21
Dheilly
N. M.
,
Nair
S. V.
,
Smith
L. C.
,
Raftos
D. A.
.
2009
.
Highly variable immune-response proteins (185/333) from the sea urchin, Strongylocentrotus purpuratus: proteomic analysis identifies diversity within and between individuals.
J. Immunol.
182
:
2203
2212
.
22
Lun
C. M.
,
Schrankel
C. S.
,
Chou
H.-Y.
,
Sacchi
S.
,
Smith
L. C.
.
2016
.
A recombinant Sp185/333 protein from the purple sea urchin has multitasking binding activities towards certain microbes and PAMPs.
Immunobiology
221
:
889
903
.
23
Oren
M.
,
Barela Hudgell
M. A.
,
D’Allura
B.
,
Agronin
J.
,
Gross
A.
,
Podini
D.
,
Smith
L. C.
.
2016
.
Short tandem repeats, segmental duplications, gene deletion, and genomic instability in a rapidly diversified immune gene family.
BMC Genomics
17
:
900
.
24
Buckley
K. M.
,
Munshaw
S.
,
Kepler
T. B.
,
Smith
L. C.
.
2008
.
The 185/333 gene family is a rapidly diversifying host-defense gene cluster in the purple sea urchin Strongylocentrotus purpuratus.
J. Mol. Biol.
379
:
912
928
.
25
Oren
M.
,
Barela Hudgell
M. A.
,
Golconda
P.
,
Lun
C. M.
,
Smith
L. C.
.
2016
.
Genomic instability and shared mechanisms for gene diversification in two distant immune gene families: the echinoid 185/333 and the plant NBS-LRR
. In
The Evolution of the Immune System: Conservation and Diversification.
Malagoli
D.
, ed.
Elsevier/Academic Press
,
London, UK
, p.
295
310
.
26
Buckley
K. M.
,
Terwilliger
D. P.
,
Smith
L. C.
.
2008
.
Sequence variations in 185/333 messages from the purple sea urchin suggest posttranscriptional modifications to increase immune diversity.
J. Immunol.
181
:
8585
8594
.
27
Nair
S. V.
,
Del Valle
H.
,
Gross
P. S.
,
Terwilliger
D. P.
,
Smith
L. C.
.
2005
.
Macroarray analysis of coelomocyte gene expression in response to LPS in the sea urchin. Identification of unexpected immune diversity in an invertebrate.
Physiol. Genomics
22
:
33
47
.
28
Uversky
V. N.
2010
.
Targeting intrinsically disordered proteins in neurodegenerative and protein dysfunction diseases: another illustration of the D2 concept.
Expert Rev. Proteomics
7
:
543
564
.
29
Denning
D. P.
,
Patel
S. S.
,
Uversky
V.
,
Fink
A. L.
,
Rexach
M.
.
2003
.
Disorder in the nuclear pore complex: the FG repeat regions of nucleoporins are natively unfolded.
Proc. Natl. Acad. Sci. USA
100
:
2450
2455
.
30
Patel
S. S.
,
Belmont
B. J.
,
Sante
J. M.
,
Rexach
M. F.
.
2007
.
Natively unfolded nucleoporins gate protein diffusion across the nuclear pore complex.
Cell
129
:
83
96
.
31
Xue
B.
,
Uversky
V. N.
.
2014
.
Intrinsic disorder in proteins involved in the innate antiviral immunity: another flexible side of a molecular arms race.
J. Mol. Biol.
426
:
1322
1350
.
32
Kelly
S. M.
,
Jess
T. J.
,
Price
N. C.
.
2005
.
How to study proteins by circular dichroism.
Biochim. Biophys. Acta
1751
:
119
139
.
33
Kelly
S. M.
,
Price
N. C.
.
2000
.
The use of circular dichroism in the investigation of protein structure and function.
Curr. Protein Pept. Sci.
1
:
349
384
.
34
Greenfield
N. J.
2006
.
Using circular dichroism spectra to estimate protein secondary structure.
Nat. Protoc.
1
:
2876
2890
.
35
de Latour
F. A.
,
Amer
L. S.
,
Papanstasiou
E. A.
,
Bishop
B. M.
,
van Hoek
M. L.
.
2010
.
Antimicrobial activity of the Naja atra cathelicidin and related small peptides.
Biochem. Biophys. Res. Commun.
396
:
825
830
.
36
Povey
J. F.
,
Smales
C. M.
,
Hassard
S. J.
,
Howard
M. J.
.
2007
.
Comparison of the effects of 2,2,2-trifluoroethanol on peptide and protein structure and function.
J. Struct. Biol.
157
:
329
338
.
37
Roccatano
D.
,
Colombo
G.
,
Fioroni
M.
,
Mark
A. E.
.
2002
.
Mechanism by which 2,2,2-trifluoroethanol/water mixtures stabilize secondary-structure formation in peptides: a molecular dynamics study.
Proc. Natl. Acad. Sci. USA
99
:
12179
12184
.
38
Formaggio
F.
,
Toniolo
C.
.
2010
.
Electronic and vibrational signatures of peptide helical structures: a tribute to Anton Mario Tamburro.
Chirality
22
(
Suppl. 1
):
E30
E39
.
39
Huang
Y. J.
,
Acton
T. B.
,
Montelione
G. T.
.
2014
.
DisMeta: a meta server for construct design and optimization.
Methods Mol. Biol.
1091
:
3
16
.
40
Scopes
R. K.
1974
.
Measurement of protein by spectrophotometry at 205 nm.
Anal. Biochem.
59
:
277
282
.
41
Vieira-Pires
R. S.
,
Morais-Cabral
J. H.
.
2010
.
310 helices in channels and other membrane proteins.
J. Gen. Physiol.
136
:
585
592
.
42
Whitmore
L.
,
Wallace
B. A.
.
2008
.
Protein secondary structure analyses from circular dichroism spectroscopy: methods and reference databases.
Biopolymers
89
:
392
400
.
43
Whitmore
L.
,
Wallace
B. A.
.
2004
.
DICHROWEB, an online server for protein secondary structure analyses from circular dichroism spectroscopic data.
Nucleic Acids Res.
32
:
W668
W673
.
44
Böhm
G.
,
Muhr
R.
,
Jaenicke
R.
.
1992
.
Quantitative analysis of protein far UV circular dichroism spectra by neural networks.
Protein Eng.
5
:
191
195
.
45
Louis-Jeune
C.
,
Andrade-Navarro
M. A.
,
Perez-Iratxeta
C.
.
2012
.
Prediction of protein secondary structure from circular dichroism using theoretically derived spectra. [Published erratum appears in 2012 Proteins 80: 2818.]
Proteins
80
:
374
381
.
46
Ricketts
E. F.
,
Calvin
J.
.
1968
.
Between Pacific Tides.
Stanford University Press
,
Stanford, CA
.
47
Farmanfarmaian
A.
,
Giese
A. C.
.
1963
.
Thermal tolerance and acclimation in the western purple sea urchin, Strongylocentrotus purpuratus.
Physiol. Zool.
36
:
237
243
.
48
Uversky
V. N.
2013
.
Intrinsic disorder-based protein interactions and their modulators.
Curr. Pharm. Des.
19
:
4191
4213
.
49
Uversky
V. N.
2013
.
Unusual biophysics of intrinsically disordered proteins.
Biochim. Biophys. Acta
1834
:
932
951
.
50
Fischer
E.
1894
.
Einfluss der configuration auf die wirkung der enzyme.
Ber. Dtsch. Chem. Ges.
27
:
2985
2993
.
51
Koshland
D. E.
1958
.
Application of a theory of enzyme specificity to protein synthesis.
Proc. Natl. Acad. Sci. USA
44
:
98
104
.
52
Mittag
T.
,
Marsh
J.
,
Grishaev
A.
,
Orlicky
S.
,
Lin
H.
,
Sicheri
F.
,
Tyers
M.
,
Forman-Kay
J. D.
.
2010
.
Structure/function implications in a dynamic complex of the intrinsically disordered Sic1 with the Cdc4 subunit of an SCF ubiquitin ligase.
Structure
18
:
494
506
.
53
Mittag
T.
,
Kay
L. E.
,
Forman-Kay
J. D.
.
2010
.
Protein dynamics and conformational disorder in molecular recognition.
J. Mol. Recognit.
23
:
105
116
.
54
Borg
M.
,
Mittag
T.
,
Pawson
T.
,
Tyers
M.
,
Forman-Kay
J. D.
,
Chan
H. S.
.
2007
.
Polyelectrostatic interactions of disordered ligands suggest a physical basis for ultrasensitivity.
Proc. Natl. Acad. Sci. USA
104
:
9650
9655
.
55
Wright
P. E.
,
Dyson
H. J.
.
2015
.
Intrinsically disordered proteins in cellular signalling and regulation.
Nat. Rev. Mol. Cell Biol.
16
:
18
29
.
56
Raetz
C. R.
,
Whitfield
C.
.
2002
.
Lipopolysaccharide endotoxins.
Annu. Rev. Biochem.
71
:
635
700
.
57
Ha
J. H.
,
Loh
S. N.
.
2012
.
Protein conformational switches: from nature to design.
Chemistry
18
:
7984
7999
.
58
Sato
H.
,
Feix
J. B.
.
2006
.
Peptide-membrane interactions and mechanisms of membrane destruction by amphipathic alpha-helical antimicrobial peptides.
Biochim. Biophys. Acta
1758
:
1245
1256
.
59
Silvestro
L.
,
Weiser
J. N.
,
Axelsen
P. H.
.
2000
.
Antibacterial and antimembrane activities of cecropin A in Escherichia coli.
Antimicrob. Agents Chemother.
44
:
602
607
.
60
Harrison
S. C.
2008
.
Viral membrane fusion.
Nat. Struct. Mol. Biol.
15
:
690
698
.
61
Pauling
L.
1940
.
A theory of the structure and process of formation of antibodies.
J. Am. Chem. Soc.
62
:
2643
2657
.
62
Ebert
T. A.
1967
.
Negative growth and longevity in the purple sea urchin Strongylocentrotus purpuratus (Stimpson).
Science
157
:
557
558
.
63
Smith
L. C.
,
Davidson
E. H.
.
1992
.
The echinoid immune system and the phylogenetic occurrence of immune mechanisms in deuterostomes.
Immunol. Today
13
:
356
362
.
64
Yui
M.
,
Bayne
C.
.
1983
.
Echinoderm immunology: bacterial clearance by the sea urchin Strongylocentrotus purpuratus.
Biol. Bull.
165
:
473
486
.
65
Rast
J. P.
,
Messier-Solek
C.
.
2008
.
Marine invertebrate genome sequences and our evolving understanding of animal immunity.
Biol. Bull.
214
:
274
283
.
66
Ng
T. H.
,
Chiang
Y. A.
,
Yeh
Y. C.
,
Wang
H. C.
.
2014
.
Review of Dscam-mediated immunity in shrimp and other arthropods.
Dev. Comp. Immunol.
46
:
129
138
.
67
Smith
L. C.
,
Lun
C. M.
.
2016
.
Multitasking rSp0032 has anti-pathogen binding activities predicting flexible and effective immune responses in sea urchins mediated by the Sp185/333 system.
Path Infect Dis
2
:
e1394
.

The authors have no financial conflicts of interest.

Supplementary data