# Cysteine-Free Proteins in the Immunobiology of Arthropod-Borne Diseases

Authors: J. Santiago Mejia; Erik N. Arthun; Richard G. Titus
Journal: Journal of Biomedicine and Biotechnology
 (2010)

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## Abstract

One approach to identify epitopes that could be used in the design of vaccines to control several arthropod-borne diseases simultaneously is to look for common structural features in the secretome of the pathogens that cause them. Using a novel bioinformatics technique, cysteine-abundance and distribution analysis, we found that many different proteins secreted by several arthropod-borne pathogens, includingPlasmodium falciparum, Borrelia burgdorferi, and eight species of Proteobacteria, are devoid of cysteine residues. The identification of three cysteine-abundance and distribution patterns in several families of proteins secreted by pathogenic and nonpathogenic Proteobacteria, and not found when the amino acid analyzed was tryptophan, provides evidence of forces restricting the content of cysteine residues in microbial proteins during evolution. We discuss these findings in the context of protein structure and function, antigenicity and immunogenicity, and host-parasite relationships.


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## Body

## 1. Introduction

Microbial pathogens transmitted by hematophagous arthropods are responsible for some of the most devastating human diseases and the design of vaccines to control them represents one of the main collective efforts in global health. These arthropod-borne diseases (ABDs) are caused by hundreds of species of viruses, bacteria, protozoa, and metazoan parasites and are transmitted by hematophagous mosquitoes, flies, fleas, lice, biting midges, kissing bugs, ticks, and mites [1]. Some ABDs are emerging, reemerging, or out-of-control as a result of high mobility of vertebrate and invertebrate hosts, environmental degradation, and global warming [2]. Further complicating the bleak scenario that ABDs represent, several of the pathogens that cause them could potentially be used as weapons [3–5]. Vaccination remains one of the most cost-effective interventions in public health but only a handful of effective vaccines are available for the control of ABDs [6, 7]. Central to attempts to control infectious diseases through use of vaccines is the idea that species-specific immunity is the best way to induce safe and effective protection. In light of the monumental task of the development of vaccines directed to each species of arthropod-borne pathogen and/or their vectors, it is necessary to revisit the idea of cross-reactive immunity as a potential venue to protect humans and animals against several ABDs simultaneously. Thanks to advances in synthetic peptide libraries and phage expression libraries, evidence is accumulating that supports the concept of functional poly-specificity of antibodies [8, 9]. Such poly-specificity could be expected to be more apparent when antibodies interact with protein antigens that, due to the high degree of structural disorder and flexibility defined in its amino acid sequence, display a high tendency to engage in promiscuous interactions with other proteins [10, 11]. Some of these features can be identified in proteins using a variety of predictive algorithms that help in the identification of structural disorder [12, 13] and B-cell epitopes [14]. A complementary approach that could be used to identify such sequences is to scan proteins looking for the absence of structural features known to limit protein flexibility and that induce, through an effect on protein folding, the formation of conformational B-cell epitopes. One such structure, the disulfide bridge, is formed when a protein that has at least 2 cysteine residues is allowed to fold under the oxidative conditions prevalent in extracellular compartments of tissues. It follows that secreted proteins incapable of forming disulfide bridges because of a lack of cysteine residues represent potential targets of cross-reactive vaccines directed to linear, nonconformational, and flexible epitopes. In order to understand both the biological significance that the absence of cysteine residues in pathogen proteins might have in the immunobiology of ABDs and the potential of cysteine-free proteins (CFPs) as vaccine targets, we conducted a cysteine-abundance and distribution analysis on secreted proteins from ten species of arthropod-borne pathogens that cause serious human pathologies, including malaria, Lyme disease, plague, tularemia, Q fever, rocky mountain-spotted fever, human granulocytic anaplasmosis, human monocytic ehrlichiosis, scrub typhus, and Carrion’s disease. This analysis allowed for the identification of three major patterns of cysteine expression in secreted proteins of arthropod-borne pathogens. For comparison purposes, a similar abundance and distribution analysis was conducted for another amino acid residue of low abundance in proteins: tryptophan. The significance of the patterns described is discussed in the context of microbial evolution, host-parasite relationships, and prospects for the development of vaccines directed to control several ABDs simultaneously.


## 2. Materials and Methods

### 2.1. Genomes Analyzed

Ten arthropod-borne pathogens were selected for cysteine- and tryptophan-distribution analysis, including five species of Alphaproteobacteria (Anaplasma phagocytophilum, Bartonella bacilliformis, Ehrlichia chaffeensis, Orientia tsutsugamushi,and Rickettsia rickettsii),three Gammaproteobacteria (Coxiella burnetii, Francisella tularensis,andYersinia pestis),one Spirochaetes (Borrelia burgdorferi), and one protozoan parasite (Plasmodium falciparum).In order to reveal potential links between the expression of secreted cysteine-free proteins (sCFPs) and/or secreted tryptophan-free proteins (sWFPs) with virulence and pathogenicity, the genomes of two nonpathogenic  bacteria harbored by arthropods (Wigglesworthia glossinidia endosymbiont of Glossina brevipalpisand Wolbachiaendosymbiont of Drosophila melanogaster) were included in the analysis.


### 2.2. Bioinformatics Tools and Procedures Used

FTP files of the genomes of selected species of arthropod-borne microorganisms were downloaded from NCBI Reference Sequences (RefSeq) and transferred to word processing files for analysis of cysteine- and tryptophan-abundance and distribution patterns. We limited the analysis to proteins of at least 200 amino acid residues in length because cysteine and tryptophan are low-abundance amino acids (average content of 1.38% and 1.09%, resp., in UniProtKB/Swiss-prot protein knowledgebase, release 57.2), and thus the significance of their absence is highly dependent on sequence length. Incomplete sequences or those with sequence ambiguities were not included and care was taken to minimize the degree of redundancy of the list of proteins analyzed by manually removing exact copies. The selected sequences were then analyzed using the Simple Modular Architecture Research Tool (SMART) [15] to detect the presence of domains and motifs that can be used to assign functionality and to track evolutionary trends via analysis of orthologs. SMART has a built-in SignalP 3.0 predictor that was used to identify proteins secreted through a classical signal-peptide-dependent pathway [16], which allowed for the identification of a subset of proteins with cysteine or tryptophan residues confined to the predicted signal peptide segment.


## 2.1. Genomes Analyzed

Ten arthropod-borne pathogens were selected for cysteine- and tryptophan-distribution analysis, including five species of Alphaproteobacteria (Anaplasma phagocytophilum, Bartonella bacilliformis, Ehrlichia chaffeensis, Orientia tsutsugamushi,and Rickettsia rickettsii),three Gammaproteobacteria (Coxiella burnetii, Francisella tularensis,andYersinia pestis),one Spirochaetes (Borrelia burgdorferi), and one protozoan parasite (Plasmodium falciparum).In order to reveal potential links between the expression of secreted cysteine-free proteins (sCFPs) and/or secreted tryptophan-free proteins (sWFPs) with virulence and pathogenicity, the genomes of two nonpathogenic  bacteria harbored by arthropods (Wigglesworthia glossinidia endosymbiont of Glossina brevipalpisand Wolbachiaendosymbiont of Drosophila melanogaster) were included in the analysis.


## 2.2. Bioinformatics Tools and Procedures Used

FTP files of the genomes of selected species of arthropod-borne microorganisms were downloaded from NCBI Reference Sequences (RefSeq) and transferred to word processing files for analysis of cysteine- and tryptophan-abundance and distribution patterns. We limited the analysis to proteins of at least 200 amino acid residues in length because cysteine and tryptophan are low-abundance amino acids (average content of 1.38% and 1.09%, resp., in UniProtKB/Swiss-prot protein knowledgebase, release 57.2), and thus the significance of their absence is highly dependent on sequence length. Incomplete sequences or those with sequence ambiguities were not included and care was taken to minimize the degree of redundancy of the list of proteins analyzed by manually removing exact copies. The selected sequences were then analyzed using the Simple Modular Architecture Research Tool (SMART) [15] to detect the presence of domains and motifs that can be used to assign functionality and to track evolutionary trends via analysis of orthologs. SMART has a built-in SignalP 3.0 predictor that was used to identify proteins secreted through a classical signal-peptide-dependent pathway [16], which allowed for the identification of a subset of proteins with cysteine or tryptophan residues confined to the predicted signal peptide segment.


## 3. Results

### 3.1. Frequency of CFPs and WFPs in the Genomes of Arthropod-Borne Microorganisms

While it is possible to retrieve the sequence of CFPs from the UniProtKB/Swiss-Prot database with the ExPASy ScanProsite tool using the〈{C}*〉 syntax for pattern recognition, a very important subset of proteins is overlooked: those that have cysteine residues confined to an amino-terminal segment predicted to be excised upon secretion via the signal-peptide-dependent pathway. The precursor of those proteins would not be cysteine free but the mature-secreted protein would be (Figure 1). For that reason, all proteins of at least 200 residues with cysteine residues confined to a 70-amino acid NH2-terminal segment were analyzed for the presence of potential signal peptides. Similar attention was taken while screening for the presence of WFPs. The frequency of CFPs found in the genome of the 12 species of arthropod-borne microorganisms studied was found to be as low as 0.94% in A. phagocytophilumand as high as 16.8% in B. burgdorferi.  For WFPs, the lowest percentage (3.86%) was found in C. burnetii and the highest (16.21%) in B. burgdorferi (Table 1). When only those proteins predicted to be secreted through the signal-dependent pathway were considered (sCFPs and sWFPs), a clear difference was detected with preferential secretion of WFPs by four species of Alphaproteobacteria (A. phagocytophilum, E. chaffeensis, O. tsutsugamushi,andR. rickettsii) and the only eukaryote included in the study, P. falciparum.  In contrast, the other arthropod-borne pathogenic bacteria (B. bacilliformis, C. burnetii, F. tularensis, Y. pestis,andB. burgdorferi) preferentially secrete CFPs. Of interest, the two arthropod endosymbionts included in the study (W. glossinidia and W.endosymbiont ofD. melanogaster) do not have preference for the secretion for either CFPs or WFPs (Table 1). When the ratio of sCFPs to sWFPs was plotted against the percentage of sCFPs, a clear separation of pathogenic and nonpathogenic microorganisms became evident in a logarithmic plot (Figure 2). P. falciparum and four species of pathogenic Alphaproteobacteria segregated into the lower left corner of the plot while B. bacilliformis, B. burgdorferi, and the three species of pathogenic Gammaproteobacteria segregated to the upper right corner of the plot. The two species of arthropod endosymbionts remained at the center of the plot.Table 1
Abundance of proteins devoid of cysteine residues (CFP) or tryptophan residues (WFP), included those predicted as secreted (sCFP and sWFP), in 12 species of arthropod-borne microorganisms.
SpeciesProteins*CFP (%)WFP (%)sCFPsWFPsCFP/sWFPAlphaproteobacteriaA. phagocytophilum HZ126412 (0.94)77 (6.09)7200.35O. tsutsugamushi str. Boryong118215 (1.26)71 (6.00)380.37E. chaffeensis str. Arkansas110520 (1.80)133 (12.03)12340.35R. rickettsii str. “Sheila Smith”134540 (2.97)99 (7.36)14210.66W. endosymbiont of  D. melanogaster119536 (3.01)90 (7.53)13140.92B. bacilliformis KC583128286 (6.70)74 (5.76)43123.58GammaproteobacteriaW. glossinidia endosymbiont of G. brevipalpis61126 (4.25)71 (11.62)661.00F. tularensis subsp. tularensisFSC198160578 (4.85)133 (8.28)54192.84C. burnetii RSA 4932016114 (5.65)78 (3.86)63125.25Y. pestis  Nepal 5163981339 (8.51)157 (3.94)216326.75SpirochaetesB. burgdorferi B31851140 (16.45)138 (16.21)89362.47ApicomplexaP. falciparum 3D7526764 (1.21)567 (10.76)261150.22*Chromosomal proteins only.Figure 1
Amino acid sequence of proteins secreted by four arthropod-borne pathogens (F. tularensis, Y. pestis, B. bacilliformis, and P. falciparum) with cysteine residues (shaded in gray)  confined to the predicted signal peptide segment  (boxed italics) of their precursors. Signal peptide excision sites were identified using the SMART online tool. The number of cysteine residues present in the signal peptide segments shown varies from one in  F. tularensislipoprotein to four in P. falciparumblood stage antigen. The mature proteins produced following the removal of signal peptide segments during the secretion process are free of cysteine residues.Figure 2
Frequency of sCFPs (percentage) plotted against a ratio of sCFP/sWFP in 12 arthropod-borne microorganisms. A logarithmic scale of thex and y axes was used to improve visual separation of microorganisms with low sCFP/sWFP ratios.


### 3.2. CFPs and WFPs in Functionally Defined Proteins Secreted by Proteobacteria

In order to define the biological significance of the absence of cysteine or tryptophan residues in proteins secreted by arthropod-borne pathogens, it is necessary to determine the abundance of such residues in the corresponding orthologs secreted by other pathogenic and nonpathogenic  microorganisms that are not transmitted by arthropods. We selected to conduct this analysis in Proteobacteria because it is a large taxonomic group with 466 complete genomes sequenced, including many species of pathogenic bacteria with well-characterized virulence and pathogenicity determinants. Furthermore, the majority of the arthropod-borne microorganisms included in this study (10 out of 12) belong to the Proteobacteria phylum. We selected 28 different families of proteins secreted by Proteobacteria and belonging to different functional categories to conduct the cysteine- and tryptophan-abundance and distribution analysis. The domains identified in the proteins selected for this analysis allowed for access (using a SMART window to proteins of similar composition) to the sequence of orthologs present in other species of Proteobacteria. The number of cysteine and tryptophan residues present in the mature proteins selected was recorded and a figure indicating their relative abundance was visually inspected for emergence of patterns (Figure3).  When considering the abundance and distribution of cysteine residues in these protein families, three different patterns were detected. Pattern-I, which was found in proteins carrying 9 different domains (LolB, MCE, TolB N, VacJ, Flip, Lipoprotein_9, Lipoprotein_18, CsgG, and GagX), is characterized by a predominance of CFPs over proteins expressing one or more cysteine residues. Pattern-II, which was found in proteins carrying the DsdB, 60KD_IMP, or A2M_N domains, shows a predominance of proteins expressing one cysteine residue and rarely expressing CFPs. Finally, Pattern-III was found in proteins expressing 16 different sets of domains (Sur_A_N/Rotamase, Bac_surface_Ag, PLA1, LamB, Pertactin/Autotransporter, Bmp, Glyco_hydro_3, Haemagg_act, Surface_Ag_2, AlkPPc, POTRA_2/ShlB, Peptidase_S13, Acid_phosphatases_A, Hydrolase_2, DsbC_N, and IalB) and was characterized by a wider variety of cysteine abundance, but with a clear preference for even numbers of residues. It is possible that this segregation into 3 patterns is a reflection of a functional spectrum defined by structural requirements of reduced sulfhydryl groups (as in proteins of Pattern-II), correct folding and rigidity conferred by a defined number of disulfide bonds (as in proteins of Pattern-III), and high flexibility and promiscuous interactivity conferred by the absence of cysteine residues (as in proteins of Pattern-I). In support of this interpretation, a correlation was found between functionality and cysteine abundance and distribution patterns for proteins secreted by Proteobacteria (Table 2). In contrast to the clear definition of cysteine-expression patterns in the proteins analyzed, no clear patterns emerged when analyzing the abundance and distribution of tryptophan residues. With the exception of proteins carrying the Surface_Ag_2 domain (which have a dominant WFPs profile) and those carrying the DsbC_N and IalB domains (which preferentially express a single tryptophan residue), no particular pattern of tryptophan residues was observed, with most proteins expressing a variable number of tryptophan residues, frequently more than 10 per protein.Table 2
Domain and functional groups associated with each cysteine-abundance and distribution-pattern detected in pathogenic and nonpathogenic  Proteobacteria.
PatternsFunctional categoryDomainsPattern-ILipoproteinsCsgG, Lipoprotein_9, Lipoprotein_18, LolB, VacJPart of protein-secretion systemsCagX, FliP, MCE, TolB_NPattern-IIEndopeptidase inhibitory activityA2M_NGeneration of reduced environment in periplasmDsdBProtein insertion into membranes60KD_IMPPattern-IIIAdhesinHaemagg_act, Pertactin, AutotransporterInvasinIalBHemolysinPOTRA_2, ShlBEnzymePLA1, Acid_phosphatase_A,   AlkPPc, Glyco_hydro_3, Hydrolase 2, Peptidase_S13Surface antigenBac_surface_Ag, BMP, Surface_Ag_2Membrane transporterLamBAbundance and distribution analysis of cysteine (left panel) and tryptophan residues (right panel) in secreted proteins belonging to 28 different families and secreted by many species of pathogenic and non/pathogenic Proteobacteria. The protein families were arranged by cysteine abundance and distribution to optimize the visualization of patterns.


### 3.3. Secreted CFPs in Pathogenic Arthropod-Borne Proteobacteria

Many sCFPs were found in pathogenic arthropod-borne Proteobacteria, including 79 in Alphaproteobacteria and 333 in Gammaproteobacteria (Table1). In order to identify those that could represent virulence and pathogenicity determinants or potential vaccine targets, we eliminated from consideration those with domains detected in sCFPs of any of the arthropod endosymbionts included in the study. Still, a large list of sCFP-associated domains remained with 42 present in Alphaproteobacteria (Table 3) and 137 in Gammaproteobacteria (Table 4). In addition to these proteins, a group of sCFPs, characterized by the absence of any of the domains registered in the SMART and Pfam databases and conformed by segments of low complexity, intrinsic disorder, coiled-coil structure, transmembrane regions, and/or internal repeats, was found among the CFPs secreted by these pathogens. These sequences were found to be particularly abundant in Gammaproteobacteria, with 14 present in C. burnetii, 22 in F. tularensis, and 28 in Y. pestis.Only one was found in both A. phagocytophilum and O. tsutsugamushi,three in R. rickettsii, four in E. chaffeensis,and seven in B. bacilliformis. One strategy to identify proteins of interest in such a large list of candidates is to focus on those with the longest sequence of amino acid residues. After all, the significance of absence of a particular residue in a protein is highly dependent on protein length. When only the precursors of at least 500 amino acid residues were considered, few domains were identified (Table 5). Of these, the Pertactin and Autotransporter domains are of interest to understand the role of sCFPs in the immunobiology of ABDs because they have been identified as virulence and pathogenicity determinants [17, 18] and because both have been found to be coexpressed in very large sCFPs, including a Y. pestis protein of 3710 amino acids (GenBank accession number gi: 45443160). Another domain of interest, Bac_surface_Ag, represents a potential target for multipathogen vaccines directed to sCFPs because it is the only domain found associated with sCFPs of six species of arthropod-borne Proteobacteria (Table 5) and in a 821-amino acid residue outer membrane CFP secreted by B. burgdorferi Spirochetes (GenBank accession number gi: 15595140).Table 3
Domains associated with secreted CFPs in four species of arthropod-borne Alphaproteobacteria.
SpeciesDomainsA. phagocytophilumOEP, Peptidase_M16, Peptidase_M17,Peptidase_S49, TPR_2B. bacilliformisABC_sub_bind, Ami_3,Autotransporter,Bac_surface_Ag, BPD_transp_1, DPBB_1, DUF165, DUF374, DUF541, FlgH, Flgl, FliP, HAMP, HATPase_C, HisKA, HlyD, Lipoprotein_9, LolA, MotA_ExbB, OEP, Oxidored_q3, PDZ, Peptidase_M23, Peripla_BP_2, Pertactin, Porin_2, SBP_bac_9, Surf_Ag_VNR, TolB_N, PD40, Trypsin, TSPcE. chaffeensisBac_surface_Ag, BON, OEP, PDZ,Peptidase_S49,Surf_Ag_VNR, TerC, TrypsinR. rickettsiiAAA,Bac_surface_Ag, DUF6, FTR1, OmpW,PBPb, PDZ, Peptidase_M23,Surf_Ag_VNR, Trypsin, TSPcBold font domains selected for definition of cysteine-abundance and distribution patterns (Figure3).Table 4
Domains associated with secreted CFPs in arthropod-borne Gammaproteobacteria.
SpeciesDomainsC. burnetiiAAL_decarboxy, Acid_phosphat_B,Bac_surface_Ag, Bac_Ubq_Cox, BPD_transp_1, Cation_efflux, DUF2066, DUF502, FKBP_N, FtsQ, FtsX, HlyD, Lipoprotein_9, LolB, Lys M, MCE, MotA_ExbB, MreC, MVIN, OmpA_membrane, OpuAC, Oxidored_q1, PDZ, Peptidase_M16, Peptidase_M22,  Peptidase_M23, Peptidase_M50, Peptidase_S24, PNTB, Polysacc_deac_1,  POTRA_1, Sec_GG, SecD_SecF, SecY, SLT, SPOR, Surf_Ag_VNR, TolB_N, PD40, Toluene_X, Trypsin, TSPcF. tularensisBac_surface_Ag, DUF1239, DUF165,G_glu_transpept, GDPD, HlyD,LolB,  Lys_M, MCE, Neur_chan_LBD, OEP, PD40, Peptidase_M50, Peroxidase, PQQ, RmuC, SBP_bac_9, Sec_GG, SecD_SecF, Secretin, SOUL, Sugar_tr, SurA_N, Surf_Ag_VNR, TolB_N, VacJ, VWA, WZZY. pestisAbhydrolase_BP_2, ADC_lyase, Ami_2, ArsB,AsmA,Autotransporter, Bac_surface_Ag, BON, BPD_transp_1, Cache_1, CsgG, DPBB_1, DUF1284, DUF1454, DUF1471, DUF187, DUF218, DUF481, DUF541, DUF6, DUF799, DUF945, Ell-Sor, FKBP_N, Flgl, FliP, FMN_bind, GDPD, Glyco_hydro_3, GntP_permease, Haemagg_act, HAMP, HATPase_C, HIM, HisKA, HlyD, KdgM, KdpC, Kelch_2, Lactamase_B, LamB, Lipase_GDSL, Lipoprotein_18, Lipoprotein_9, LolB, Lyase_8, Lyase_catalyt, Lyase_N, Lys M, MA, MalM, MgtC, MotA_ExbB, MS_channel, OEP, Omptin, OmpW, Oxidored_q1, PAS, Patatin, PbH1, PBP5_C, PBPb, PD40, PDZ, Pectate_lyase_2, Peptidase_M16, Peptidase_M23, Peptidase_M48, Peptidase_S11, Peripla_BP_1, Peripla_BP_2, Pertactin, PG_binding_1, Pili_assembly_N, PLA1, Plug, Polysacc_deac_1, Porin_1, PQQ, Rotamase, RpiB, SBP_bac_1, SBP_bac_5, SBP_bac_7, SBP_bac_9, Secretin, Slp, SLT, SPOR, STAS, Sulfatase, SurA_N, Surf_Ag_VNR, TM_helix, Tol_tol_Ttg2, TolB_N, Toluene_X, TonB, TonB_dep_Rec, TPR_2, Transgly, Trypsin, TSPc, UPF0118, VacJ, VWA, YscJ_FliF, ZipA_CBold font domains selected for definition of cysteine-abundance and distribution patterns (Figure3).Table 5
Domains associated with sCFPs of at least 500 residues in length and present in more than one species of the indicated species of arthropod-borne Proteobacteria:A. phagocytophilum(A.p), B. bacilliformis (B.b), E. chaffeensis (E.c), R. rickettsii (R.r), C. burnetii(C.b), F. tularensis(F.t), and Y. pestis (Y.p).
DomainsA.pB.bE.cR.rC.bF.tY.pPBP_dimer/Transpeptidase————11—Peptidase_M161—————1Pertactin/Autotransporter—1————3Sec_GG/SecD_SecF————11—Secretin—————11Bac_surface_Ag—211112


## 3.1. Frequency of CFPs and WFPs in the Genomes of Arthropod-Borne Microorganisms

While it is possible to retrieve the sequence of CFPs from the UniProtKB/Swiss-Prot database with the ExPASy ScanProsite tool using the〈{C}*〉 syntax for pattern recognition, a very important subset of proteins is overlooked: those that have cysteine residues confined to an amino-terminal segment predicted to be excised upon secretion via the signal-peptide-dependent pathway. The precursor of those proteins would not be cysteine free but the mature-secreted protein would be (Figure 1). For that reason, all proteins of at least 200 residues with cysteine residues confined to a 70-amino acid NH2-terminal segment were analyzed for the presence of potential signal peptides. Similar attention was taken while screening for the presence of WFPs. The frequency of CFPs found in the genome of the 12 species of arthropod-borne microorganisms studied was found to be as low as 0.94% in A. phagocytophilumand as high as 16.8% in B. burgdorferi.  For WFPs, the lowest percentage (3.86%) was found in C. burnetii and the highest (16.21%) in B. burgdorferi (Table 1). When only those proteins predicted to be secreted through the signal-dependent pathway were considered (sCFPs and sWFPs), a clear difference was detected with preferential secretion of WFPs by four species of Alphaproteobacteria (A. phagocytophilum, E. chaffeensis, O. tsutsugamushi,andR. rickettsii) and the only eukaryote included in the study, P. falciparum.  In contrast, the other arthropod-borne pathogenic bacteria (B. bacilliformis, C. burnetii, F. tularensis, Y. pestis,andB. burgdorferi) preferentially secrete CFPs. Of interest, the two arthropod endosymbionts included in the study (W. glossinidia and W.endosymbiont ofD. melanogaster) do not have preference for the secretion for either CFPs or WFPs (Table 1). When the ratio of sCFPs to sWFPs was plotted against the percentage of sCFPs, a clear separation of pathogenic and nonpathogenic microorganisms became evident in a logarithmic plot (Figure 2). P. falciparum and four species of pathogenic Alphaproteobacteria segregated into the lower left corner of the plot while B. bacilliformis, B. burgdorferi, and the three species of pathogenic Gammaproteobacteria segregated to the upper right corner of the plot. The two species of arthropod endosymbionts remained at the center of the plot.Table 1
Abundance of proteins devoid of cysteine residues (CFP) or tryptophan residues (WFP), included those predicted as secreted (sCFP and sWFP), in 12 species of arthropod-borne microorganisms.
SpeciesProteins*CFP (%)WFP (%)sCFPsWFPsCFP/sWFPAlphaproteobacteriaA. phagocytophilum HZ126412 (0.94)77 (6.09)7200.35O. tsutsugamushi str. Boryong118215 (1.26)71 (6.00)380.37E. chaffeensis str. Arkansas110520 (1.80)133 (12.03)12340.35R. rickettsii str. “Sheila Smith”134540 (2.97)99 (7.36)14210.66W. endosymbiont of  D. melanogaster119536 (3.01)90 (7.53)13140.92B. bacilliformis KC583128286 (6.70)74 (5.76)43123.58GammaproteobacteriaW. glossinidia endosymbiont of G. brevipalpis61126 (4.25)71 (11.62)661.00F. tularensis subsp. tularensisFSC198160578 (4.85)133 (8.28)54192.84C. burnetii RSA 4932016114 (5.65)78 (3.86)63125.25Y. pestis  Nepal 5163981339 (8.51)157 (3.94)216326.75SpirochaetesB. burgdorferi B31851140 (16.45)138 (16.21)89362.47ApicomplexaP. falciparum 3D7526764 (1.21)567 (10.76)261150.22*Chromosomal proteins only.Figure 1
Amino acid sequence of proteins secreted by four arthropod-borne pathogens (F. tularensis, Y. pestis, B. bacilliformis, and P. falciparum) with cysteine residues (shaded in gray)  confined to the predicted signal peptide segment  (boxed italics) of their precursors. Signal peptide excision sites were identified using the SMART online tool. The number of cysteine residues present in the signal peptide segments shown varies from one in  F. tularensislipoprotein to four in P. falciparumblood stage antigen. The mature proteins produced following the removal of signal peptide segments during the secretion process are free of cysteine residues.Figure 2
Frequency of sCFPs (percentage) plotted against a ratio of sCFP/sWFP in 12 arthropod-borne microorganisms. A logarithmic scale of thex and y axes was used to improve visual separation of microorganisms with low sCFP/sWFP ratios.


## 3.2. CFPs and WFPs in Functionally Defined Proteins Secreted by Proteobacteria

In order to define the biological significance of the absence of cysteine or tryptophan residues in proteins secreted by arthropod-borne pathogens, it is necessary to determine the abundance of such residues in the corresponding orthologs secreted by other pathogenic and nonpathogenic  microorganisms that are not transmitted by arthropods. We selected to conduct this analysis in Proteobacteria because it is a large taxonomic group with 466 complete genomes sequenced, including many species of pathogenic bacteria with well-characterized virulence and pathogenicity determinants. Furthermore, the majority of the arthropod-borne microorganisms included in this study (10 out of 12) belong to the Proteobacteria phylum. We selected 28 different families of proteins secreted by Proteobacteria and belonging to different functional categories to conduct the cysteine- and tryptophan-abundance and distribution analysis. The domains identified in the proteins selected for this analysis allowed for access (using a SMART window to proteins of similar composition) to the sequence of orthologs present in other species of Proteobacteria. The number of cysteine and tryptophan residues present in the mature proteins selected was recorded and a figure indicating their relative abundance was visually inspected for emergence of patterns (Figure3).  When considering the abundance and distribution of cysteine residues in these protein families, three different patterns were detected. Pattern-I, which was found in proteins carrying 9 different domains (LolB, MCE, TolB N, VacJ, Flip, Lipoprotein_9, Lipoprotein_18, CsgG, and GagX), is characterized by a predominance of CFPs over proteins expressing one or more cysteine residues. Pattern-II, which was found in proteins carrying the DsdB, 60KD_IMP, or A2M_N domains, shows a predominance of proteins expressing one cysteine residue and rarely expressing CFPs. Finally, Pattern-III was found in proteins expressing 16 different sets of domains (Sur_A_N/Rotamase, Bac_surface_Ag, PLA1, LamB, Pertactin/Autotransporter, Bmp, Glyco_hydro_3, Haemagg_act, Surface_Ag_2, AlkPPc, POTRA_2/ShlB, Peptidase_S13, Acid_phosphatases_A, Hydrolase_2, DsbC_N, and IalB) and was characterized by a wider variety of cysteine abundance, but with a clear preference for even numbers of residues. It is possible that this segregation into 3 patterns is a reflection of a functional spectrum defined by structural requirements of reduced sulfhydryl groups (as in proteins of Pattern-II), correct folding and rigidity conferred by a defined number of disulfide bonds (as in proteins of Pattern-III), and high flexibility and promiscuous interactivity conferred by the absence of cysteine residues (as in proteins of Pattern-I). In support of this interpretation, a correlation was found between functionality and cysteine abundance and distribution patterns for proteins secreted by Proteobacteria (Table 2). In contrast to the clear definition of cysteine-expression patterns in the proteins analyzed, no clear patterns emerged when analyzing the abundance and distribution of tryptophan residues. With the exception of proteins carrying the Surface_Ag_2 domain (which have a dominant WFPs profile) and those carrying the DsbC_N and IalB domains (which preferentially express a single tryptophan residue), no particular pattern of tryptophan residues was observed, with most proteins expressing a variable number of tryptophan residues, frequently more than 10 per protein.Table 2
Domain and functional groups associated with each cysteine-abundance and distribution-pattern detected in pathogenic and nonpathogenic  Proteobacteria.
PatternsFunctional categoryDomainsPattern-ILipoproteinsCsgG, Lipoprotein_9, Lipoprotein_18, LolB, VacJPart of protein-secretion systemsCagX, FliP, MCE, TolB_NPattern-IIEndopeptidase inhibitory activityA2M_NGeneration of reduced environment in periplasmDsdBProtein insertion into membranes60KD_IMPPattern-IIIAdhesinHaemagg_act, Pertactin, AutotransporterInvasinIalBHemolysinPOTRA_2, ShlBEnzymePLA1, Acid_phosphatase_A,   AlkPPc, Glyco_hydro_3, Hydrolase 2, Peptidase_S13Surface antigenBac_surface_Ag, BMP, Surface_Ag_2Membrane transporterLamBAbundance and distribution analysis of cysteine (left panel) and tryptophan residues (right panel) in secreted proteins belonging to 28 different families and secreted by many species of pathogenic and non/pathogenic Proteobacteria. The protein families were arranged by cysteine abundance and distribution to optimize the visualization of patterns.


## 3.3. Secreted CFPs in Pathogenic Arthropod-Borne Proteobacteria

Many sCFPs were found in pathogenic arthropod-borne Proteobacteria, including 79 in Alphaproteobacteria and 333 in Gammaproteobacteria (Table1). In order to identify those that could represent virulence and pathogenicity determinants or potential vaccine targets, we eliminated from consideration those with domains detected in sCFPs of any of the arthropod endosymbionts included in the study. Still, a large list of sCFP-associated domains remained with 42 present in Alphaproteobacteria (Table 3) and 137 in Gammaproteobacteria (Table 4). In addition to these proteins, a group of sCFPs, characterized by the absence of any of the domains registered in the SMART and Pfam databases and conformed by segments of low complexity, intrinsic disorder, coiled-coil structure, transmembrane regions, and/or internal repeats, was found among the CFPs secreted by these pathogens. These sequences were found to be particularly abundant in Gammaproteobacteria, with 14 present in C. burnetii, 22 in F. tularensis, and 28 in Y. pestis.Only one was found in both A. phagocytophilum and O. tsutsugamushi,three in R. rickettsii, four in E. chaffeensis,and seven in B. bacilliformis. One strategy to identify proteins of interest in such a large list of candidates is to focus on those with the longest sequence of amino acid residues. After all, the significance of absence of a particular residue in a protein is highly dependent on protein length. When only the precursors of at least 500 amino acid residues were considered, few domains were identified (Table 5). Of these, the Pertactin and Autotransporter domains are of interest to understand the role of sCFPs in the immunobiology of ABDs because they have been identified as virulence and pathogenicity determinants [17, 18] and because both have been found to be coexpressed in very large sCFPs, including a Y. pestis protein of 3710 amino acids (GenBank accession number gi: 45443160). Another domain of interest, Bac_surface_Ag, represents a potential target for multipathogen vaccines directed to sCFPs because it is the only domain found associated with sCFPs of six species of arthropod-borne Proteobacteria (Table 5) and in a 821-amino acid residue outer membrane CFP secreted by B. burgdorferi Spirochetes (GenBank accession number gi: 15595140).Table 3
Domains associated with secreted CFPs in four species of arthropod-borne Alphaproteobacteria.
SpeciesDomainsA. phagocytophilumOEP, Peptidase_M16, Peptidase_M17,Peptidase_S49, TPR_2B. bacilliformisABC_sub_bind, Ami_3,Autotransporter,Bac_surface_Ag, BPD_transp_1, DPBB_1, DUF165, DUF374, DUF541, FlgH, Flgl, FliP, HAMP, HATPase_C, HisKA, HlyD, Lipoprotein_9, LolA, MotA_ExbB, OEP, Oxidored_q3, PDZ, Peptidase_M23, Peripla_BP_2, Pertactin, Porin_2, SBP_bac_9, Surf_Ag_VNR, TolB_N, PD40, Trypsin, TSPcE. chaffeensisBac_surface_Ag, BON, OEP, PDZ,Peptidase_S49,Surf_Ag_VNR, TerC, TrypsinR. rickettsiiAAA,Bac_surface_Ag, DUF6, FTR1, OmpW,PBPb, PDZ, Peptidase_M23,Surf_Ag_VNR, Trypsin, TSPcBold font domains selected for definition of cysteine-abundance and distribution patterns (Figure3).Table 4
Domains associated with secreted CFPs in arthropod-borne Gammaproteobacteria.
SpeciesDomainsC. burnetiiAAL_decarboxy, Acid_phosphat_B,Bac_surface_Ag, Bac_Ubq_Cox, BPD_transp_1, Cation_efflux, DUF2066, DUF502, FKBP_N, FtsQ, FtsX, HlyD, Lipoprotein_9, LolB, Lys M, MCE, MotA_ExbB, MreC, MVIN, OmpA_membrane, OpuAC, Oxidored_q1, PDZ, Peptidase_M16, Peptidase_M22,  Peptidase_M23, Peptidase_M50, Peptidase_S24, PNTB, Polysacc_deac_1,  POTRA_1, Sec_GG, SecD_SecF, SecY, SLT, SPOR, Surf_Ag_VNR, TolB_N, PD40, Toluene_X, Trypsin, TSPcF. tularensisBac_surface_Ag, DUF1239, DUF165,G_glu_transpept, GDPD, HlyD,LolB,  Lys_M, MCE, Neur_chan_LBD, OEP, PD40, Peptidase_M50, Peroxidase, PQQ, RmuC, SBP_bac_9, Sec_GG, SecD_SecF, Secretin, SOUL, Sugar_tr, SurA_N, Surf_Ag_VNR, TolB_N, VacJ, VWA, WZZY. pestisAbhydrolase_BP_2, ADC_lyase, Ami_2, ArsB,AsmA,Autotransporter, Bac_surface_Ag, BON, BPD_transp_1, Cache_1, CsgG, DPBB_1, DUF1284, DUF1454, DUF1471, DUF187, DUF218, DUF481, DUF541, DUF6, DUF799, DUF945, Ell-Sor, FKBP_N, Flgl, FliP, FMN_bind, GDPD, Glyco_hydro_3, GntP_permease, Haemagg_act, HAMP, HATPase_C, HIM, HisKA, HlyD, KdgM, KdpC, Kelch_2, Lactamase_B, LamB, Lipase_GDSL, Lipoprotein_18, Lipoprotein_9, LolB, Lyase_8, Lyase_catalyt, Lyase_N, Lys M, MA, MalM, MgtC, MotA_ExbB, MS_channel, OEP, Omptin, OmpW, Oxidored_q1, PAS, Patatin, PbH1, PBP5_C, PBPb, PD40, PDZ, Pectate_lyase_2, Peptidase_M16, Peptidase_M23, Peptidase_M48, Peptidase_S11, Peripla_BP_1, Peripla_BP_2, Pertactin, PG_binding_1, Pili_assembly_N, PLA1, Plug, Polysacc_deac_1, Porin_1, PQQ, Rotamase, RpiB, SBP_bac_1, SBP_bac_5, SBP_bac_7, SBP_bac_9, Secretin, Slp, SLT, SPOR, STAS, Sulfatase, SurA_N, Surf_Ag_VNR, TM_helix, Tol_tol_Ttg2, TolB_N, Toluene_X, TonB, TonB_dep_Rec, TPR_2, Transgly, Trypsin, TSPc, UPF0118, VacJ, VWA, YscJ_FliF, ZipA_CBold font domains selected for definition of cysteine-abundance and distribution patterns (Figure3).Table 5
Domains associated with sCFPs of at least 500 residues in length and present in more than one species of the indicated species of arthropod-borne Proteobacteria:A. phagocytophilum(A.p), B. bacilliformis (B.b), E. chaffeensis (E.c), R. rickettsii (R.r), C. burnetii(C.b), F. tularensis(F.t), and Y. pestis (Y.p).
DomainsA.pB.bE.cR.rC.bF.tY.pPBP_dimer/Transpeptidase————11—Peptidase_M161—————1Pertactin/Autotransporter—1————3Sec_GG/SecD_SecF————11—Secretin—————11Bac_surface_Ag—211112


## 4. Discussion

Several technical hurdles have complicated the development of effective vaccines to control the transmission of ABDs, including (1) identification of protective epitopes expressed on the pathogen and/or its arthropod vector, (2) induction of safe and long-lasting immunity that overcomes immune evasion mechanisms used by the pathogens and amplified by immuno-modulators present in arthropod saliva [19, 20], and (3) induction of an immunity expected to operate effectively in human populations of tremendous diversity. Some of these problems derive from the assumption that the induction of species-specific immunity is the most effective approach to develop vaccines to prevent infectious diseases. Research into an alternative approach, the induction of immunity of broad specificity, can benefit from the great diversity of pathogens and vectors involved in the etiopathogenesis of ABDs in order to identity the cross-reactive epitopes required for the induction of cross-protective immunity. Just as adaptation of arthropods to hematophagy is an example of convergent evolution [21], the adaptation of microbial pathogens to the complex biological processes that guarantees their survival and multiplication in two very different kinds of hosts, vertebrate and invertebrate, can be seen as an example of convergent evolution as well. Under such consideration, the identification of common structural determinants in molecules secreted by pathogens into the host-parasite interface might shed light into vulnerabilities of the host defense systems, providing opportunities for the design of alternatives to control ABDs. The availability of complete genomes in many of the etiologic agents of ABDs offers the possibility to identify, via the comparative analysis of their secretomes described herein, such structural determinants.


### 4.1. Cysteine Residues in Protein Function and Antigenicity/Immunogenicity

One of the amino acid residues with a prominent effect on the structure of proteins, cysteine, can be expected to play critical roles in protein function, antigenicity and immunogenicity. The role played by cysteine residues in protein function has been demonstrated in numerous experiments using chemical modification techniques and cysteine scanning mutagenesis [22, 23], but its role in antigenicity and immunogenicity of proteins is only beginning to be characterized using the same techniques [24]. The flexibility that characterizes a group of proteins with a clear cysteine use bias, Intrinsically Unstructured Proteins [10–13], can play a prominent role in host-parasite relationships by favoring protein-protein interactions of low affinity and specificity. From an interactomics perspective, this kind of protein-protein interactivity might favor the interaction of pathogen-secreted proteins with nondefense proteins present in host tissues, thus interfering with pathogen recognition by defense proteins [25]. As a result, immunization with these cysteine-depleted proteins might shift the balance toward protective immunity against pathogens that secreted them [26].


### 4.2. Evolutionary Considerations on the Secretion of CFPs by Proteobacteria

Judged by the contrast between cysteine- and tryptophan-abundance and distribution expression patterns identified in 28 families of proteins secreted by Proteobacteria, a restrictive evolutionary process must be in operation to keep some of these proteins in a cysteine-free state (Figure3). This is particularly evident in all proteins classified in Pattern-I which includes nine families of surface lipoproteins and components of protein-transport systems. This expression pattern is better explained by the idea that these families of proteins were derived from ancestors that were themselves free of cysteine residues. During the radiation of species a variable number of mutations might have occurred that introduced additional tryptophan residues in the proteins without restriction. While a similar process might have led to the diversification in the number of cysteine residues, a restrictive force must have kept it to a minimum. Given that this occurred in all species of Proteobacteria, including those known to be pathogenic and nonpathogenic  to vertebrates and arthropods, it is unlikely that the immune systems of these hosts were responsible for the restriction. Most likely, the function of the proteins belonging to this group of proteins is seriously compromised by the introduction of cysteine residues. A somewhat similar mechanism might have operated during the evolution of the three families of proteins classified in Pattern-II. An ancestor with a single cysteine residue may have evolved under conditions that allowed the acquisition of cysteine residues but restricted its loss. The case of proteins carrying the A2M_N domain is peculiar because it is the only family of proteins where a variable, and odd number, of cysteine residues predominates. This suggests that while the accumulation of cysteine residues through the evolution of this family was fully permitted, those individuals with an odd number of residues had a survival advantage, probably because the function of the A2M_N domain, just as it is known to occur in vertebrate proteins carrying it, depends on the availability of a free sulfhydryl group [27]. One scenario that could explain the more complex cysteine-abundance and distribution analysis of the families of proteins classified in Pattern-III is that the ancestor of these protein families, starting with an even number of cysteine residues, evolved under conditions that allowed either the acquisition or loss of cysteine residues. Once again the survival advantage of having, in this case, an even number of cysteine residues explains the overall pattern. Under this hypothetical scenario it becomes necessary to explain a peculiar jump in protein evolution. In the case of protein families carrying the Bmp, Glyco_hydro_3, Haemagg_act, Surface_Ag_2, AlkPPc, POTRA_2/ShlB, and Peptidase_S13 domains (which would be predicted to derive from ancestors with two cysteine residues and thus the potential to have a disulfide bond in the protein structure, Figure 3) could be transformed into a protein where the formation of disulfide bonds is no longer possible because of the loss of two cysteine residues. How much protein functionality is affected by the disappearance of the only disulfide bond present in the structure of these proteins? Similarly one could ask: How much is the function of a protein devoid of cysteine residues affected when accumulation of two cysteine residues allows the emergence of disulfide bonds in the protein structure? This complementary scenario could occur with proteins carrying the Sur_A/Rotamase, Bac_surface_Ag, PLA1, LamB, and Pertactin/Autotransporter domains.


## 4.1. Cysteine Residues in Protein Function and Antigenicity/Immunogenicity

One of the amino acid residues with a prominent effect on the structure of proteins, cysteine, can be expected to play critical roles in protein function, antigenicity and immunogenicity. The role played by cysteine residues in protein function has been demonstrated in numerous experiments using chemical modification techniques and cysteine scanning mutagenesis [22, 23], but its role in antigenicity and immunogenicity of proteins is only beginning to be characterized using the same techniques [24]. The flexibility that characterizes a group of proteins with a clear cysteine use bias, Intrinsically Unstructured Proteins [10–13], can play a prominent role in host-parasite relationships by favoring protein-protein interactions of low affinity and specificity. From an interactomics perspective, this kind of protein-protein interactivity might favor the interaction of pathogen-secreted proteins with nondefense proteins present in host tissues, thus interfering with pathogen recognition by defense proteins [25]. As a result, immunization with these cysteine-depleted proteins might shift the balance toward protective immunity against pathogens that secreted them [26].


## 4.2. Evolutionary Considerations on the Secretion of CFPs by Proteobacteria

Judged by the contrast between cysteine- and tryptophan-abundance and distribution expression patterns identified in 28 families of proteins secreted by Proteobacteria, a restrictive evolutionary process must be in operation to keep some of these proteins in a cysteine-free state (Figure3). This is particularly evident in all proteins classified in Pattern-I which includes nine families of surface lipoproteins and components of protein-transport systems. This expression pattern is better explained by the idea that these families of proteins were derived from ancestors that were themselves free of cysteine residues. During the radiation of species a variable number of mutations might have occurred that introduced additional tryptophan residues in the proteins without restriction. While a similar process might have led to the diversification in the number of cysteine residues, a restrictive force must have kept it to a minimum. Given that this occurred in all species of Proteobacteria, including those known to be pathogenic and nonpathogenic  to vertebrates and arthropods, it is unlikely that the immune systems of these hosts were responsible for the restriction. Most likely, the function of the proteins belonging to this group of proteins is seriously compromised by the introduction of cysteine residues. A somewhat similar mechanism might have operated during the evolution of the three families of proteins classified in Pattern-II. An ancestor with a single cysteine residue may have evolved under conditions that allowed the acquisition of cysteine residues but restricted its loss. The case of proteins carrying the A2M_N domain is peculiar because it is the only family of proteins where a variable, and odd number, of cysteine residues predominates. This suggests that while the accumulation of cysteine residues through the evolution of this family was fully permitted, those individuals with an odd number of residues had a survival advantage, probably because the function of the A2M_N domain, just as it is known to occur in vertebrate proteins carrying it, depends on the availability of a free sulfhydryl group [27]. One scenario that could explain the more complex cysteine-abundance and distribution analysis of the families of proteins classified in Pattern-III is that the ancestor of these protein families, starting with an even number of cysteine residues, evolved under conditions that allowed either the acquisition or loss of cysteine residues. Once again the survival advantage of having, in this case, an even number of cysteine residues explains the overall pattern. Under this hypothetical scenario it becomes necessary to explain a peculiar jump in protein evolution. In the case of protein families carrying the Bmp, Glyco_hydro_3, Haemagg_act, Surface_Ag_2, AlkPPc, POTRA_2/ShlB, and Peptidase_S13 domains (which would be predicted to derive from ancestors with two cysteine residues and thus the potential to have a disulfide bond in the protein structure, Figure 3) could be transformed into a protein where the formation of disulfide bonds is no longer possible because of the loss of two cysteine residues. How much protein functionality is affected by the disappearance of the only disulfide bond present in the structure of these proteins? Similarly one could ask: How much is the function of a protein devoid of cysteine residues affected when accumulation of two cysteine residues allows the emergence of disulfide bonds in the protein structure? This complementary scenario could occur with proteins carrying the Sur_A/Rotamase, Bac_surface_Ag, PLA1, LamB, and Pertactin/Autotransporter domains.


## 5. Conclusions

It is apparent that cysteine residues play a dramatic role in protein function and that their removal, or introduction, into protein sequences represents a critical event of great significance in pathogen evolution and host-parasite relationships. The use of the a simple and novel bioinformatics tool, amino acid-abundance and distribution analysis, can prove useful in the clarification on some of these ideas and address others that were not included in the discussion, such as the role of sWFPs in host-parasite relationship, in particular in the context of two arthropod-borne diseases that are caused by pathogens that secrete them abundantly,B. burgdorferi and P. falciparum. The use of cysteine- and/or tryptophan-directed mutagenesis will prove instrumental in clarifying the role that these amino acid depleted proteins may have in the immunobiology of ABDs. It will also open to experimentation the usefulness of vaccines based on a new kind of epitope, one defined not by what it contains in its sequence, but rather by what it lacks.



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*Source: 171537-2010-01-04.xml*