- Open Access
Phlebotomus papatasi SP15: mRNA expression variability and amino acid sequence polymorphisms of field populations
Parasites & Vectors volume 8, Article number: 298 (2015)
The Phlebotomus papatasi salivary protein PpSP15 was shown to protect mice against Leishmania major, suggesting that incorporation of salivary molecules in multi-component vaccines may be a viable strategy for anti-Leishmania vaccines.
Here, we investigated PpSP15 predicted amino acid sequence variability and mRNA profile of P. papatasi field populations from the Middle East. In addition, predicted MHC class II T-cell epitopes were obtained and compared to areas of amino acid sequence variability within the secreted protein.
The analysis of PpSP15 expression from field populations revealed significant intra- and interpopulation variation.. In spite of the variability detected for P. papatasi populations, common epitopes for MHC class II binding are still present and may potentially be used to boost the response against Le. major infections.
Conserved epitopes of PpSP15 could potentially be used in the development of a salivary gland antigen-based vaccine.
Hematophagous vectors of disease not only inoculate pathogens into their hosts, these arthropods also dispense pharmacologically active compounds that prevent host homeostasis to facilitate blood feeding. Many of these molecules are immunogenic and elicit host immune responses that reduce the feeding efficiency [1,2] and fecundity [3–8]; furthermore these proteins act as immune effectors that influence the ability of blood-feeding vectors to transmit pathogens [9–11].
Exposure to bites of uninfected P. papatasi can lead to protection against Leishmania major  in murine models. Secreted salivary proteins in P. papatasi are estimated to contain between 30 and 35 different protein molecules . One of these molecules, PpSP15, has been studied in detail because it has been shown to confer protection in animals against challenge with Le. major . A previous analysis of predicted PpSP15 amino acid sequence polymorphisms involving one field and four laboratory populations of P. papatasi indicated the presence of polymorphic alleles and pointed to the possibility of a multi-copy gene family . However, synonymous amino acid substitutions accounted for most of the nucleotide changes identified.
Variability in salivary gland proteins between distinct vector populations may influence disease outcome. Such variability could be represented either by different amounts of one or more salivary proteins being secreted in the saliva and injected in the host, or by differences in amino acid sequence. In regards to the latter possibility, amino acid sequence variability may influence class II MHC presentation of the salivary antigen, inducing different immune responses by the host. For PpSP15, 40 alleles have previously been identified, most of which are geographically restricted . However, the PpSP15 alleles differ by an average of 1.7 %, with most differences being synonymous. This observation suggests that this gene is not under diversifying selection and is not surprising given the relative homogeneity of P. papatasi from distant geographical locations [16–18].
Here we assess the variability of PpSP15 from field collected populations of female P. papatasi. Collection locations for this investigation include locations in the Middle Eastern regions of Southern Egypt, the Northern Sinai Peninsula, and Jordan. Using molecular genetic tools, we elucidated differences in mRNA expression levels, amino acid variability, and genetic differentiation. Our results suggest a level of variability that is compatible with geographically isolated populations, and more importantly higher than previously reported. Additionally, PpSP15 expression levels are differentially modulated in different ecological habitats. Our findings further suggest that despite the level of variability detected for predicted human MHC Class II peptides of PpSP15, conserved epitopes are present and could potentially be used in the development of a salivary gland antigen-based vaccine or natural adjuvant, possibly utilizing PpSP15 and/or a combination of PpSP15 and other salivary proteins.
P. papatasi used in this study were obtained either from field collections or from a colony (Israeli strain - PPIS) maintained at the University of Notre Dame. This PPIS colony is from a colony originally established in the mid 1970’s and represents limited genetic heterogeneity. For field samples, sand flies were collected at 4 locations, 2 in Egypt and 2 in Jordan. 1) Aswan (GPS coordinates N 24°10, E 32°52), in a village adjacent to the River Nile (Baharif - Southern Egypt); this site was chosen because P. papatasi is prevalent but leishmaniasis is absent, the village is cultivated with clover (Trifolium spp.), corn (Zea mays), wheat (Triticumaestivum), date palms (Phoenix dactylifera) and mangoes (Mangiferaindica), and stocked with a variety of domestic animals . 2) Northern Sinai (GPS coordinates N 30°50′, E 34°10′), in a Bedouin village (Om Shikhan – Northeastern Egypt); this site is a typical rolling sand desert with an uncharacteristically heightened water table with uncultivated areas covered by low desert brush, predominatly Artmeisia, Salicornia, Thymelaea, Tamarisk and Panicum. The area is endemic for L. major infections , however the typical rodent reservoir host Psammomys obesusis limited and Gerbillus pyramidum serves as the primary reservoir in this area . 3) Swaymeh (GPS coordinates N 31°48′, E 35°35′), near the Dead Sea, in Jordan; this site, endemic for zoonotic Le. major, maintained by the reservoir Ps. obesus [22–25]. The location is considered Saharan Mediterranean with a mean rainfall of <50 mm occurring only November –April and has tropical and halophytic vegetation (chenopods) . 4) Malka, near the Northern border of Jordan (GPS coordinates N 32°40′, E 35°45′). The biotope at this site is more Mediterranean and the land is rocky. At the time these flies were collected only Le. tropica infections had been reported, thought to be due to the absence of the rodent reservoir Ps. obesus .
Whenever possible, sand fly trappings were carried out three times a year, early (June), middle (August) and late (September) for years 2006 and 2007. While in Aswan and Swaymeh we performed 3 trappings (late 2006, early and middle 2007); for the site in North Sinai only 2 trappings took place: early and middle 2007, due to security concerns in 2006. For each of these 3 locations P. papatasi represents approximately 95 % of the Phlebotomus species [19,24]. In Malka, trapping took place in late (September) 2006. Sand flies were trapped using CDC-style light traps between 18:00 and 06:00. Traps were either baited with CO2 (dry ice) (for trappings done in Aswan and North Sinai), or non-baited (Swaymeh and Malka). Sand flies were transferred from collection bags and maintained alive until dissected. Flies were euthanized in water and detergent just prior to dissection. P. papatasi were identified by microscopic examination of female spermateca according to Lane .
Sand flies were assessed for their blood fed status and parity. For flies without the presence of blood, ovaries were examined and parous were separated by non-parous flies by the presence of granulous in the accessory glands ; only non-parous flies were used in our analysis. Heads with both salivary glands from P. papatasi females were separated from the bodies under a dissecting microscope and placed in 1.5 ml microcentrifuge tubes containing 50 μl RNA later (Ambion) and immediately homogenized using a hand held homogenizer RNAse-free pestle. Samples were stored at 4 °C for up to 48 h, frozen in dry ice for transport, and kept at −80 °C until further analyzes. For sequence variability analyses, 50 individuals from each of the three field populations were used whereas for expression profile comparisons, mRNA (cDNA) levels of 20 specimens collected per time point per population were assessed. The sand flies used were representatives of the populations from Aswan (or PPAW), North Sinai (or PPNS), Malka (or PPJM), and Swaymeh (or PPJS).
RNA extraction and cDNA synthesis
Total RNA was isolated from individual sand fly samples using the RNeasy Mini RNA isolation kit (Qiagen). Total RNA was extracted from the dissected heads with salivary glands from field and laboratory (PPIS) sand flies. For each RNA sample, PpSP15 cDNA was synthesized using Invitrogen reagents and following the manufacturer’s instructions. In brief, 12 μl RNA was added with 2.5 μM Oligo (dT)20 primer and 0.5 μM dNTPs (10 mM), incubated at 65 °C for 5 min (min) and kept in ice for at least 1 min; 4 μl 5X SuperScript™ III Reverse Transcriptase First-Strand Buffer, 5 mM DTT (0.1 M), 20 Units of RNase OUT, and 200 units of SuperScript™ III Reverse Transcriptase (200 units/μl) were added to the reaction. The mixture was incubated for one hour at 50 °C and stored at −20 °C.
Real-time quantitative polymerase chain reactions (RT-qPCR)
RT-qPCR reactions were set up with 10 μl SYBR Green reagent (Applied Biosystems), 0.6 μl each forward and reverse primer (0.3 μM final concentration), 0.5 μl each cDNA sample, and 8.3 μl Ultra Pure DNase/RNase-Free Water (Invitrogen). Reactions were analyzed in 96-well plate format using a 7900HT Fast Real Time PCR System (Applied Biosystems) under the following conditions: initial incubation at 50 °C for 2 min (min) and 95 °C for 10 min; followed by 40 cycles of 95 °C for 15 s (sec), 55 °C for 1 min; ending with a dissociation step of 95 °C for 15 s, 55 °C for 15 s, and 95 °C for 15 s.
Twenty samples from the field populations PPAW, PPNS and PPJS were analyzed by RT-qPCR. For qPCR, a 152 bp fragment of the PpSP15 cDNA was amplified using PpSP15 specific primers SP15_152F 5′- GGACAAAAGCCTGAAAGCAG and SP15_152R 5′- GAGGTCCAATTCGTTTGTCG. As control mRNA to the q PCR reactions primers PpTub-P24F and PpTub-P24R that amplify a 247 bp fragment of the α-tubulin gene in P. papatasi were utilized .
Differential expression results for each salivary protein gene were displayed as fold changes over a control, using the 2-ΔΔCT method . The fold changes were calculated by the expression 2-ΔΔCT, where ΔΔCT = ΔCT(sample) – ΔCT(calibrator), ΔCT = ΔCT(sample) – ΔCT(alpha tubulin gene), CT = cycle at which a statistically significant increase in the emission intensity over the background. The calibrator was represented by the average expression (mean ΔCT) of seven non-fed samples (PPIS) dissected 24 h after emerging . Fold changes were calculated for each sample, compared to the calibrator.
Expression profiling and statistical analysis
Two types of analyses were carried out to compare PpSP15 expression profiles. For the seasonal analysis, expression levels for each of the 20 sand flies collected at different time points of the season (Fig. 1a-c) in each habitat were compared (Fig. 1d-f). For the geographic analysis, we compared individual expression levels from flies collected in different geographic locations but at the same seasonal period.
Statistical analyses were carried out using the software GraphPad Prism v. 5.01 (GraphPad Software, Inc). Non-parametric Kruskal-Wallis tests were performed to compare between the multiple datasets, and/or Mann–Whitney tests, for 2-way comparisons between data sets when the results for Kruskal-Wallis test were statistically significant, or for comparisons when only two data sets were present. The level of significance was adjusted for multiple comparisons using Bonferroni’s correction to allow comparison of the PpSP15 expression profile with the pattern displayed by nine other P. papatasi salivary transcripts . Differences were considered statistically significant at α = 0.0006. Values of fold change were calculated based on the ratio of the expression medians between the time point up-regulated over the time point down-regulated.
cDNAs produced from the total RNA obtained from PPAW, PPJS and PPJM sand flies were amplified by PCR using primers SP15F 5′-TTAATTTCCGCAGTGTTC-3′ and SP15R 5′- TTATATATTGATTGTTTTATC-3′ and GoTaq (Promega) with the 2x mastermix. The 408 bp PpSP15 mature cDNA PCR products were twice washed in 150μlDNAse/RNAse-free water (Invitrogen) using Multiscreen PCR cleaning plates (Millipore) and by applying vacuum (10 psi). Purified PCR products were resuspended in 50 μl sterile water and cycle-sequenced on an ABI3730XL using two separate sets of overlapping primers. One set included the primers PpSP15_152 forward and PpSP15_152 reverse shown above while the second set included the primers PpSP15_206F 5′-CTGCCAAGCTGAAAATCCAT-3′ and PpSP15_206R 5′-GCTTTCAGGCTTTTG-3.
Both leading and lagging strands of all PCR products were sequenced twice and only resulting sequences with Phred values  with a cut off ≥ 30 were used in the further analyses. The forward and reverse chromatograms were inspected and manually corrected using the Staden Package  and sequences from each specimen were grouped using the program Cap3 . Sequence alignments were performed using an individual organism’s consensus sequences using ClustalW  using basic parameters and the aligned datasets were visualized with Mega v. 4.1 . The resulting sequences were deposited in GenBank (http://ncbi.nlm.nih.gov) under accession numbers HM470028 to HM470100.
Cloning of PpSP15
High fidelity Taq (PrimeSTAR HS, Takara/Contech) was used to amplify the SP15 sequence from cDNA using the primer set: SP15forII-GGACTTGCTTTAATTTCCGCAGTGT and SP15rev-TTATATATTGATTGTTTTATCATA. Amplicons were cloned using Zero Blunt TOPO PCR cloining kit (Invitrogen). At least 10 clones were sequenced from each individual. Sequences were trimmed, aligned and SNPs analyzed using Geneious software .
Read depth analysis
Source read data used for the newly assembled P. papatasi genome were first aligned using BWA version 0.5.9-r16 against the resulting scaffolds made available from VectorBase (www.vectorbase.org). A custom perl script was used to determine coverage at each position of the genome using CIGAR-formatted alignments derived from the BWA-produced SAM file. Based on these positional coverage data, mean coverage and the global standard deviation were computed. Next, a local mean and standard deviation were computed in a separate Perl script for each putative exonic sequence determined by BLAST and used to compute a Welch t-statistic, which can access statistically significant differences in means with unequal samples and variances, typical of such window-based analysis. P-values for higher (or lower) than expected coverage was finally computed using these statistics (one per exon) in Microsoft Excel.
For population assessments, analyses were initially performed at the intra-population level where sequence polymorphism from all three populations was assessed separately for the following parameters: nucleotide diversity (Pi); number of segregating sites (S), and haplotypic diversity (Hd), as described in . Further analyses were performed at the inter-population level to determine Hs and Ks indexes , and the fixation indexes Fst , Gst  and Nst ; Genetic distances were calculated based on the Jukes and Cantor  correction. The neutral evolution hypothesis , as well as the neutrality tests Tajima’s D , and Fu & Li’s D* and F , and Fs  also were assessed. Da/Ds ratio (ω) was performed for the entire SP15 sequence as well as for slide windows of 15 codons each. All parameters above were calculated using DnaSP v.5 .
The relative frequencies of polymorphic nucleotides and amino acid residues were graphically represent in the form of weblogos . A weblogo is a graphical representation of a multiple sequence alignment in which the height of the bases in each position indicates their relative frequency, whereas the overall weight of the stack indicates the conservation of that position in the motif. The relationships among haplotypes were obtained by the median joining method using Network 220.127.116.11 (www.fluxus-engineering.com).
Secondary structure and T-cell epitope predictions
For prediction of the secondary structure, we first produced a consensus sequence using all of the predicted amino acid sequences for SP15 using Bioedit v.7.0.9 . The consensus sequenced obtained (using the majority rule) was applied to the secondary structure prediction tool (http://bioinf.cs.ucl.ac.uk/psipred/) using default parameters.
To identify predicted promiscuous HLA-class II binding sites and human T-cell epitopes, we used three prediction tools. The TEPITOPE software package , the IEDB Analysis Resource T cell Epitope Prediction Tools (http://tools.immuneepitope.org/main/html/tcell_tools.html), and the ProPred MHC class II binding prediction server (http://www.imtech.res.in/raghava/propred/) . Threshold for promiscuous search was set a 3 % and search was performed for 25 different HLA-DR for TEPITOPE and 51 HLA-DR for ProPred. For the 65 HLA and 2 H2 from the IEDB, only predicted peptides with SMM_align or COMBLIB scores of 1000000.00 are included.
The study protocol was approved by the Naval Medical Research Unit No. 3 Institutional Review Board (IRB) in compliance with all applicable Federal regulations governing the protection of human subjects. IRB # 193, DoD # NAMRU3.2006.0011 and the IRB at the University of Notre Dame (#08-135). In addition, the study protocol was approved by the Institutional Animal Care and Use Committee at the University of Notre Dame (#07-052).
PpSP15 expression levels in field populations
Expression level analyses of SP15 mRNA were performed on three geographically distinct populations of P. papatasi from Aswan (PPAW) and North Sinai (PPNS) in Egypt, and Swaymeh (PPJS) in Jordan. The results from the real time PCR, performed on 20 individual sand flies per collection per population, indicate that PPAW and PPNS display similar expression level for PpSP15 (Fig. 1). The data also suggest seasonality in the expression levels of PpSP15 for PPJS. For PPAW individuals, no statistically significant differences were detected regarding seasonal analysis (Fig. 1a). On the other hand, PPJS samples displayed a 2.5 fold greater expression towards the end of the sand fly activity season (Fig. 1b). Although no statistical significant seasonal variation was detected for PPNS (Fig. 1c), we were unable to gain access to the PPNS site during the late season time point.
Early in the season (June), PpSP15 mRNA expression levels were similar between all three populations, with a maximum of two-fold difference between the lowest and the highest samples (Fig. 1d). For trappings made in the middle of the season, a greater variability was detected (Fig. 1e), although differences in expression levels between natural populations were not statistically significant. Late in the season, however, differences in expression levels between PPAW and PPJS were statistically significant (p < 0.0006) with a median difference of 3.6 fold (Fig. 1f).
cDNA analyses and haplotype identification
Genetic variability was assessed in three geographically distinct populations of P. papatasi from Aswan (PPAW) in Egypt, and Swaymeh (PPJS) and Malka (PPJM) in Jordan. Following amplification of the PpSP15 mature cDNA from field collected populations (PPAW, PPJM, and PPJS) and colonized P. papatasi, the 408 bp PCR fragment from the PpSP15 gene was sequenced with the overlapping primer sets PpSP15_152 F and R, and PpSP_206 F and R. Sequences were then assembled, screened and corrected using a Phred cutoff value of 30, resulting in a total of 99 high quality sequences from PPAW (n = 30), PPJM (n = 36) and PPJS (n = 33). From the resulting sequences, 73 unique haplotypes were identified with 66 unique to a single geographic location and six shared between sites. Additional file 1: Table S1 identifies haplotypes, their frequencies and distributions, and the corresponding predicted SP15 peptides. In spite of considerable genetic homogeneity between the populations, significant differences in the frequency of nucleotides for several sites were identified (e.g., positions 9, 10, and 11 - nucleotides A/C – that display distinct differences between the two Jordanian P. papatasi populations (PPJM and PPJS) and Egypt (PPAW (Fig. 2a). The resulting peptides revealed a substantial level of conservancy between the different populations, however (Fig. 2b). Seven of the 50 peptides identified were shared between the PPJM and PPJS populations (these two populations provided the majority of the shared peptides identified). Only two peptides (PPSP1503 and PPSP1505) were distributed among the three populations, reinforcing the idea that the level of genetic similarity between the Jordanian populations (PPJM and PPJS) is greater than the genetic similarity between any of the two Jordanian populations studied and PPAW.
DNA sequence and population genetics analyses
Population-level analyses were performed on 99 high quality (Phred/Phrap 30 cut off) cDNA sequences of PpSP15 obtained from P. papatasi samples. The assessments of genetic diversity including monomorphic and polymorphic, single variable, parsimony, and segregating sites were also determined (Table 1). Little to no population structure was identified between the populations (Table 2); however, the resulting haplotype network (Fig. 3) revealed a closer relationship between the two Jordanian populations. Furthermore, we observed ω values (da/ds ratio) that are suggestive of diversifying selection for at least portions of the molecule. Omega (ω) values higher than one were detected for PPAW, as well as when all the sequences where assessed in a single group, between amino acids residues 46–60 and 106 – 121 (Fig. 4).
Copy number assessment
Previous work indicated that PpSP15 was a multi-copy gene . As the presence of more than one gene copy violates the assumptions of most mathematical tests of selection, we assessed the PpSP15 locus of the newly assembled P. papatasi genome available from VectorBase (www.vectorbase.org). According to the assembled genome, there is only one copy of PpSP15. We hypothesized that assembly issues corresponding to the PpSP15 locus could have atypical coverage because of allele collapse (multiple genes assembling into a single locus with high coverage). To test this possibility, the source read data used for the assembled P. papatasi genome were first aligned against the scaffolds and the mean read depth for the PpSP15 locus was calculated. None of the three scaffolds (5990, p = 0.081; 11004, p = 0.073; and 53716, p = 0.081) that contain parts of the PpSP15 coding sequence exhibited a significantly higher read depth that would be expected if more than one copy of PpSP15 was collapsed by the assembly process into a single locus.
To further investigate the possibility that PpSP15 is a multi-copy gene, we cloned PpSP15 from 17 individual female P. papatasi collected from the 3 locations (PPJM-5; PPJS-6; and PPAW-6) and sequenced 10 clones from each individual. From this analysis we identified 16 different haplotypes, 10 that were new compared to the PCR sequencing analysis (Additional file 2: Table S2). Of the 10 new haplotypes, however, only 2 were identified from more than 1 individual. Seven individuals expressed 3 alleles, indicating a multi-copy locus. In all cases where 3 alleles appeared to be present, the 3rd allele was found only once from the 10 clones sequenced from that individual. In addition, in all cases except for one (PPSP1504), the 3rd allele was only found once out of the total of 170 sequenced clones. The PPSP1504 allele was found a total of 31 times from 5 different individuals.
Secondary structure and T-cell epitope predictions
Of the nine variants of PpSP15 shared by at least two specimens in our study (2 % frequency) that display the previously identified polymorphic sites , the majority of these polymorphisms occur within predicted α-helices (sites K40, R44, T45, N48, K58, and D63) and only one within a β-strand (K25). With the exception of K25, all the other previously identified polymorphic sites in the mature protein were confirmed in our study. Nine (E8, E9, K10, A62, K73, D110, Q114, E115, D117) of the 13 novel polymorphic sites we identified are within an alpha helix and four (D101, K102 K118, and N121) are within coils.
Multiple promiscuous MHC class II epitopes were identified using the three predictive software tools (Fig. 5). Using the threshold setting of 3 (on a scale 1-to-10, 1 = most stringent; 10 = least stringent), the number of predicted epitopes varied according to HLA allele, ranging from none predicted (such as in the case of alleles DRB1_ 1104, DRB1_ 1106, and DRB1_ 1311) to as many as 7 predicted binding peptides (as in the case of alleles DRB1_0305, DRB1_0306, DRB1_0307, and DRB1_0311). The majority of the predicted MHC class II binding sites (17 out of 22 epitopes from 67 alleles) were localized between the isoleucine residue at position 43 (I43) and the glutamine at position 107 (Q107) in the secreted PpSP15 sequence. Many of the binding sites in this region of the protein are overlapping. Four of the MHC class II epitopes predicted were found between tyrosine 28 (Y28) and alanine 39 (A39), and a single predicted MHC class II epitope was predicted between phenylalanine 11 (F11) and alanine 19 (A19).
Interestingly, the region from I43 to Q107 also has the majority of the polymorphic amino acid sites – nine (Fig. 5). Out of the seven polymorphic previously identified sites , five are found between amino acids I43 and Q107. These polymorphic sites were confirmed in our analyses. Of the novel 13 polymorphic sites identified in this study, three (E8, E9, K10) located towards the N-terminus portion of the secreted PpSP15 are within a region with the fewest predicted MHC class II epitopes (not shown). Four polymorphic sites (E115, D117, K118, and N121), located towards the C-terminus of PpSP15, were not predicted to be part of any MHC II binding epitopes. Finally, D110 was present within a single predicted MHC II epitope.
The analyses of the PPAW, PPJM and PPJS populations led to the identification of 19 polymorphic sites throughout the mature PpSP15, including the majority of sites described by Elnaiem et al.  (shown in Fig. 5). All polymorphic sites, with the exception of one in position 48 (K48P) displayed amino acid substitutions considered chemically similar according to the BLOSUM matrix described .
Sand fly saliva or salivary components incorporated into multi-component vaccines may be a viable strategy in developing vaccines to combat leishmaniasis. However, if sand fly saliva as a vaccine component is to be successful, an understanding of the genetic variability of salivary proteins in sand fly populations that would be encountered in nature and the human immune responses to such variability is of paramount importance. In this study, we detected significant intrapopulation seasonal variability in expression levels of PpSP15, as well as genetic variability between populations and weak genetic structure within and between distant genetic localities in the Middle East.
Previous work indicates that salivary components vary between different field populations [15,33,55]. Furthermore, sand fly saliva variability associated with natural populations was shown to impact the vertebrate response and leishmanial disease progression in a manner significantly different than what was observed for laboratory reared sand flies [56–58]. PpSP15 is among the best studied sand fly salivary proteins and was shown to induce a strong delayed-type hypersensitivity (DTH) response that is sufficient to protect animals against Le. major infection . Previous studies have reported low levels of PpSP15 variation . Evidence also suggests that PpSP15 is a multicopy gene  and SP15 may in fact represent a family of proteins that are highly conserved between sand flies from distant locations . Our results indicate intra- and interpopulation variability of PpSP15 for the two parameters investigated (i.e., predicted amino acid variability and mRNA abundance). Although in many instances the variability was associated with synonymous substitutions, a considerable number of non-synonymous substitutions were also detected.
For PpSP15 mRNA expression levels, intra-population differences were detected especially for sand flies collected later in the trapping season (Fig. 1a-c). These differences may be due to the physiological state of the individuals, the source of the blood meal an individual might have taken, or they may be associated with a genetic advantage. Sand fly age and diet was recently shown to be determinant factors on salivary composition in the New World sand fly Lutzomyia longipalpis . In addition, P. papatasi midgut enzymes are affected by different habitats, whereas oasis sand flies displayed higher chitinolytic activities, flies from arid environment displayed greater glycosidase activity . However, desert flies also exhibit significant differences in glycolytic activities between the spring (flowering season) and fall (end of dry season) , pointing to seasonal influences in protein production by sand flies. This study found that PpSP15 expression is significantly up-regulated late in the season in sand flies from dryer habitats (PPJS from Swaymeh, Fig. 1b), and in significantly higher levels when compared to P. papatasi from irrigated areas, such as PPAW from Aswan (Fig. 1f), similar to what we observed for other salivary gland genes . In irrigated regions, fly longevity is increased compared to arid regions [62,63], indicating that age variation and associated body size might explain the differences we detected in PpSP15 expression late in the season. However, PpSP15 was not consistently regulated by age and diet in a colonized P. papatasi population , suggesting that other unknown abiotic factors may play a significant part in driving PpSP15 expression in natural sand fly populations. While we did not assess sand fly size in this study, starvation has been shown to increase body size , that could influence salivary gland gene expression.
The complete PpSP15 precursor (Genebank accession #AAL11047; http://ncbi.nlm.nih.gov) contains 142 amino acids including the 21 residue signal peptide. Seven variable sites previously reported for the predicted PpSP15 . This study confirmed, with the exception of a single site (K25 in the secreted protein ), all other polymorphic sites. Though PCR amplification errors for the 408 bp PpSP15 from mature organisms are a possibility, the methodology and criteria we applied, including sequencing each PCR product at least four times and the fact that we only used high quality sequences, limit these rare occurrences. In spite of the stringency we used for the analyses of sequence quality, we opted to only consider for the analysis of genetic variability those polymorphisms that were shared by at least two specimens (2 % frequency; Table 1). As PpSP15 may be a member of multi-gene family [15,59], our methods of generating consensus sequences based on qualitative and majority criteria from individual sequencing reads may actually under-estimate the allelic variation within sand fly populations.
Analysis of the predicted secondary structural organization of PpSP15 suggests that the majority of the polymorphisms occur within predicted α-helices, including six polymorphisms identified previously (polymorphic sites K40, R44, T45, N48, K58, and D63) and nine newly identified (E8, E9, K10, A62, K73, D110, Q114, E115, and D117). Additional polymorphic sites were present within predicted coils (D101, K102 K118, and N121). Interestingly, immunodominant sites for helper T-cells (Th) in model proteins tend to be regions that fold as α-helices, in particular amphipathic helices [65,66]. Whether such structural conditions apply to PpSP15 still needs to be investigated.
Vaccination with PpSP15 induces a Th-1 protective immune response against Le. major in murine models [12,14,67]. Analysis of the predicted T-cell epitopes for human MHC class II presentation found that the majority co-localized with polymorphic amino acid sites. Such polymorphism may potentially affect the presentation via MHC, as different amino acid residues may interfere with the structure of the peptides being presented . Nevertheless, at least three predicted promiscuous binding sites for class II MHC, FKNDASKMAC, VLIKYNVVD and VKKQAREDS, found between residues 11 and 20, residues 49 and 57, and residues 75 and 83, respectively (Fig. 5), do not display polymorphisms with significant frequency. Moreover, for almost all of the predicted polymorphisms the amino acid substitution is conserved. Thus, it is conceivable that even with such predicted variability, many MHC class II epitopes may retain the ability to bind to MHC complex with some affinity and be presented to and activate T cells effectively.
It has been suggested that PpSP15 is not under diversifying selection and that its application as a vaccine should produce a uniform immune response . Tajima’s [−0.2892] and Fu and Li neutrality tests [−1.0383] (Table 1) were not significant (P > 0.10), and support this neutrality. Despite the number of polymorphic sites, ω values (the ratio between the rate of non-synonymous over synonymous substitutions) were <1 and agreed in part with the lack of diversifying selection for PpSP15. However, ω values >1 were found between the sequences corresponding to residues 46 to 60 and 106 to 121 in the PPAW population as well as for all the three sequences analyzed as a single group in the slide windows analyses (Fig. 4). Such findings point to the possible influence of positive selection on the polymorphisms that correspond to these regions. The results from these tests of selection need to be interpreted with caution, however, as the mathematical models underlying the tests are based on the assumption of a single locus. We took 2 approaches to assessing if PpSP15 is a multi-copy gene. Although our read-depth analysis of the P. papatasi assembled genome suggests that PpSP15 is likely a single copy gene, we were able to detect more than 2 alleles from several field collected flies, indicating that, at least in some populations, there may be more than one copy of PpSP15.
In a similar investigation of P. duboscqi, comparative analyses of salivary gland proteins of sand flies from two distinct populations (Kenya and Mali) reported 100 % identity for two separate groups of orthologous SP15 sequences, with MHC class II T-cell epitopes identified for each group . For the orthologous sequences PduK01/PduM06, two predicted epitopes were detected: LIKHGVVEI and WLNCRSIVD. The corresponding sequences in found in this study for PpSP15 (LIKYNVVDK and WLNCRTTIN, respectively) are either within a region of greater variability (Fig. 5 between residues 50 and 58) or within a monomorphic region (Fig. 5, between residues 85 and 93).
For two additional P. duboscqi orthologous sequences (PduM03 and PduK03), one of the predicted epitopes (YGFIDVNYNI) has an ortholog in PpSP15 located within an area predicted to have significant potential amino acid variability according to our results (Fig. 5 between residues 29 and 38). A second epitope from P. duboscqi (YRCVLTSKL) shows at least one possible change at position D101 in the orthologous P. papatasi gene (Fig. 5 between residues 95 and 104). Thus, even between different species, some degree of conservancy is seen for SP15 predicted MHC class II epitopes. One caveat to the P. duboscqi study is that the sand flies were not individually analyzed, instead cDNA libraries were obtained from at least 45 individuals garnered from a laboratory reared colony . Thus, it is not possible to assign individual variation with regards to the amino acid sequence, or account for biotic or abiotic effects on the expression of these proteins.
Humans inhabiting Leishmania-endemic regions exhibit attenuated Leishmania infections and are less likely to contract disease as compared to newcomers in these areas. Historically, this phenomenon has been attributed to a gradual onset of immunity against Leishmania parasites in endemic individuals. Immune responses to salivary components of the sand fly vector can influence the outcome of the disease, leading to increased susceptibility in naïve populations and protection in individuals that are repeatedly exposed to sand fly saliva [12,69,70]. Conversely, salivary components also can enhance the virulence of Leishmania . Previous suggestions that PpSP15 developed as a vaccine will not be hampered by inconsistent human immune responses due to potential variations in natural sand fly vector populations  may still depend on levels of individual salivary proteins being injected into the host. As our data indicate, salivary mRNA levels may vary within and between natural P. papatasi populations. In the New World sand fly L. longipalpis, significant differences in the amounts of mRNA coding for the salivary peptide maxadilan has been reported . Interestingly, bites from L. longipalpis sibling species collected from Central and South America produce different sized erythemas at the bite site and it has been postulated that differences in maxadilan expression in these vectors contributes to these responses and to the atypical cutaneous disease caused by Le. infantum in Costa Rica and visceral disease caused by Le. infantum in Brazil . However, other issues associated with the transmission of Leishmania by sand flies may also be at play in determining the severity of the disease. Thus, whether differences in the abundance of various salivary mRNA in P. papatasi may also be linked to differences in host response still needs to be addressed. Nevertheless, if sand fly saliva is to be realized as a vaccine component, an understanding of how qualitative or quantitative differences in vector saliva may impact immune responses to salivary molecules, and whether these differences may be related to underlying genetic structure of natural populations is of great interest.
Global Positioning System
Major Histocompatibility Complex
Phlebotomus papatasi Aswan, Egypt
P. papatasi Israeli strain
P. papatasi Malka
P. papatasi Swaymeh Jordan
P. papatasi North Siani, Egypt
Real-time quantitative polymerase chain reaction
Milleron RS, Ribeiro JM, Elnaime D, Soong L, Lanzaro GC. Negative effect of antibodies against maxadilan on the fitness of the sand fly vector of American visceral leishmaniasis. Am J Trop Med Hyg. 2004;70(3):278–85.
Wikel SK. Immune responses to arthropods and their products. Annu Rev Entomol. 1982;27:21–48.
Alger NE, Cabrera EJ. An increase in death rate of Anopheles stephensi fed on rabbits immunized with mosquito antigen. J Econ Entomol. 1972;65(1):165–8.
Nogge G, Giannetti M. Specific antibodies: a potential insecticide. Science. 1980;209(4460):1028–9.
Sutherland GB, Ewen AB. Fecundity decrease in mosquitoes ingesting blood from specifically sensitized mammals. J Insect Physiol. 1974;20(4):655–60.
Kemp DH, Agbede RI, Johnston LA, Gough JM. Immunization of cattle against Boophilus microplus using extracts derived from adult female ticks: feeding and survival of the parasite on vaccinated cattle. Int J Parasitol. 1986;16(2):115–20.
Chinzei Y, Minoura H. Reduced oviposition in Ornithodoros moubata (Acari: Argasidae) fed on tick-sensitized and vitellin-immunized rabbits. J Med Entomol. 1988;25(1):26–31.
Ghosh KN, Mukhopadhyay J. The effect of anti-sandfly saliva antibodies on Phlebotomus argentipes and Leishmania donovani. Int J Parasitol. 1998;28(2):275–81.
Ramasamy MS, Sands M, Kay BH, Fanning ID, Lawrence GW, Ramasamy R. Anti-mosquito antibodies reduce the susceptibility of Aedes aegypti to arbovirus infection. Med Vet Entomol. 1990;4(1):49–55.
Ramasamy MS, Ramasamy R. Effect of anti-mosquito antibodies on the infectivity of the rodent malaria parasite Plasmodium berghei to Anopheles farauti. Med Vet Entomol. 1990;4(2):161–6.
Lal AA, Schriefer ME, Sacci JB, Goldman IF, Louis-Wileman V, Collins WE, et al. Inhibition of malaria parasite development in mosquitoes by anti-mosquito-midgut antibodies. Infect Immun. 1994;62(1):316–8.
Kamhawi S, Belkaid Y, Modi G, Rowton E, Sacks D. Protection against cutaneous leishmaniasis resulting from bites of uninfected sand flies. Science. 2000;290(5495):1351–4.
Abdeladhim M, Jochim RC, Ben Ahmed M, Zhioua E, Chelbi I, Cherni S, et al. Updating the salivary gland transcriptome of Phlebotomus papatasi (Tunisian strain): the search for sand fly-secreted immunogenic proteins for humans. PloS one. 2012;7(11):e47347.
Valenzuela JG, Belkaid Y, Garfield MK, Mendez S, Kamhawi S, Rowton ED, et al. Toward a defined anti-Leishmania vaccine targeting vector antigens: characterization of a protective salivary protein. J Exp Med. 2001;194(3):331–42.
Elnaiem DE, Meneses C, Slotman M, Lanzaro GC. Genetic variation in the sand fly salivary protein, SP-15, a potential vaccine candidate against Leishmania major. Insect Mol Biol. 2005;14(2):145–50.
Depaquit J, Lienard E, Verzeaux-Griffon A, Ferte H, Bounamous A, Gantier JC, et al. Molecular homogeneity in diverse geographical populations of Phlebotomus papatasi (Diptera, Psychodidae) inferred from ND4 mtDNA and ITS2 rDNA Epidemiological consequences. Infect Genet Evol. 2008;8(2):159–70.
Hamarsheh O, Presber W, Abdeen Z, Sawalha S, Al-Lahem A, Schonian G. Genetic structure of Mediterranean populations of the sandfly Phlebotomus papatasi by mitochondrial cytochrome b haplotype analysis. Med Vet Entomol. 2007;21(3):270–7.
Henikoff S, Henikoff JG. Amino acid substitution matrices from protein block. Proc Natl Acad Sci U S A. 1992;89(22):10915–9.
Hoel DF, Butler JF, Fawaz EY, Watany N, El-Hossary SS, Villinski J. Response of phlebotomine sand flies to light-emitting diode-modified light traps in southern Egypt. J Vector Ecol. 2007;32(2):302–8.
Hanafi HA, Fryauff DJ, Modi GB, Ibrahim MO, Main AJ. Bionomics of phlebotomine sandflies at a peacekeeping duty site in the north of Sinai, Egypt. Acta Trop. 2007;101(2):106–14.
Morsy TA, Shoukry A, Schnur LF, Sulitzeanu A. Gerbillus pyramidum is a host of Leishmania major in the Sinai Peninsula. Ann Trop Med Parasitol. 1987;81(6):741–2.
Saliba EK, Pratlong F, Dedet JP, Saleh N, Khoury SA, Oumeish OY, et al. Identification of Leishmania strains from Jordan. Ann Trop Med Parasitol. 2004;98(7):677–83.
Janini R, Saliba E, Khoury S, Oumeish O, Adwan S, Kamhawi S. Incrimination of Phlebotomus papatasi as vector of Leishmania major in the southern Jordan Valley. Med Vet Entomol. 1995;9(4):420–2.
Janini R, Saliba E, Kamhawi S. Species composition of sand flies and population dynamics of Phlebotomus papatasi (Diptera: Psychodidae) in the southern Jordan Valley, an endemic focus of cutaneous leishmaniasis. J Med Entomol. 1995;32(6):822–6.
Kamhawi S, Arbagi A, Adwan S, Rida M. Environmental manipulation in the control of a zoonotic cutaneous leishmaniasis focus. Arch Inst Pasteur Tunis. 1993;70(3–4):383–90.
Schlein Y, Jacobson RL. Linkage between susceptibility of Phlebotomus papatasi to Leishmania major and hunger tolerance. Parasitology. 2002;125(Pt 4):343–8.
Kamhawi S, Modi GB, Pimenta PF, Rowton E, Sacks DL. The vectorial competence of Phlebotomus sergenti is specific for Leishmania tropica and is controlled by species-specific, lipophosphoglycan-mediated midgut attachment. Parasitology. 2000;121(Pt 1):25–33.
Lane RP. The sandflies of Egypt (Diptera: Phlebotominae). Bull Br Mus. 1986;52(1):1–35.
Anez N, Tang Y. Comparison of three methods for age-grading of female neotropical phlebotomine sandflies. Med Vet Entomol. 1997;11(1):3–7.
Ramalho-Ortigao M, Jochim RC, Anderson JM, Lawyer PG, Pham VM, Kamhawi S, et al. Exploring the midgut transcriptome of Phlebotomus papatasi: comparative analysis of expression profiles of sugar-fed, blood-fed and Leishmania-major-infected sandflies. BMC genomics. 2007;8:300.
Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(−Delta Delta C(T)) Method. Nat Methods. 2001;25(4):402–8.
Coutinho-Abreu IV, Wadsworth M, Stayback G, Ramalho-Ortigao M, McDowell MA. Differential expression of salivary gland genes in the female sand fly Phlebotomus papatasi (Diptera: Psychodidae). J Med Entomol. 2010;47(6):1146–55.
Coutinho-Abreu IV, Mukbel R, Hanafi HA, Fawaz EY, El-Hossary SS, Wadsworth M, et al. Expression plasticity of Phlebotomus papatasi salivary gland genes in distinct ecotopes through the sand fly season. BMC Ecology. 2011;11:24.
Ewing B, Green P. Base-calling of automated sequencer traces using phred. II. Error probabilities. Genome Res. 1998;8(186–194):186–94.
Staden R. The Staden sequence analysis package. Mol Biotechnol. 1996;5(3):233–41.
Huang X, Madan A. CAP3: A DNA sequence assembly program. Genome Res. 1999;9(9):868–77.
Thompson JD, Higgins DG, Gibson TJ. CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Res. 1994;22(22):4673–80.
Kumar S, Nei M, Dudley J, Tamura K. MEGA: a biologist-centric software for evolutionary analysis of DNA and protein sequences. Brief Bioinform. 2008;9(4):299–306.
Kearse M, Moir R, Wilson A, Stones-Havas S, Cheung M, Sturrock S, et al. Geneious Basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics. 2012;28(12):1647–9.
Coutinho-Abreu IV, Sonoda IV, Fonseca JA, Melo MA, Balbino VQ, Ramalho-Ortigao M. Lutzomyia longipalpis s.l. in Brazil and the impact of the Sao Francisco River in the speciation of this sand fly vector. Parasites & vectors. 2008;1(1):16.
Hudson RR, Boos DD, Kaplan NL. A statistical test for detecting population subdivision. Mol Biol Evol. 1992;9:138–51.
Hudson RR, Slatkin M, Maddison WP. Estimation of levels of gene flow from DNA sequence data. Genetics. 1992;132:583–9.
Nei M. Analysis of gene diversity in subdivided populations. ProcNatl Acad Sci USA. 1973;70:3321–3.
Lynch M, Crease TJ. The analysis of population survey data on DNA sequence variation. Mol Biol Evol. 1990;7:377–94.
Jukes TH, Cantor CR. Evolution of protein molecules. In: Munro HN, editor. Mammalian Protein Metabolism. New York: Academic; 1969. p. 21–132.
Kimura M. Evolutionary rate at the molecular level. Nature. 1968;217:624–6.
Tajima F. Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics. 1989;123(3):585–95.
Fu Y-X, Li W-H. Statistical tests of neutrality of mutations. Genetics. 1993;133:693–709.
Fu YX. Statistical tests of neutrality of mutations against population growth hitchhiking and background selection. Genetics. 1997;147(2):915–25.
Librado P, Rozas J. DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics. 2009;25(11):1451–2.
Crooks GE, Hon G, Chandonia JM, Brenner SE. WebLogo: a sequence logo generator. Genome Res. 2004;14:1188–90.
Hall TA. BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucl Acids Symp Ser. 1999;41:95–8.
Bian H, Hammer J. Discovery of promiscuous HLA-II-restricted T cell epitopes with TEPITOPE. Methods. 2004;34(4):468–75.
Singh H, Raghava GPS. ProPred: Prediction of HLA-DR binding sites. Bioinformatics. 2001;17(12):1236–7.
Lanzaro GC, Lopes AH, Ribeiro JM, Shoemaker CB, Warburg A, Soares M, et al. Variation in the salivary peptide, maxadilan, from species in the Lutzomyia longipalpis complex. Insect Mol Biol. 1999;8(2):267–75.
Laurenti MD, da Matta VL, Pernichelli T, Secundino NF, Pinto LC, Corbett CE, et al. Effects of salivary gland homogenate from wild-caught and laboratory-reared Lutzomyia longipalpis on the evolution and immunomodulation of Leishmania (Leishmania) amazonensis infection. Scand J Immunol. 2009;70(4):389–95.
Laurenti MD, Silveira VM, Secundino NF, Corbett CE, Pimenta PP. Saliva of laboratory-reared Lutzomyia longipalpis exacerbates Leishmania (Leishmania) amazonensis infection more potently than saliva of wild-caught Lutzomyia longipalpis. Parasitol International. 2009;58:220–6.
Ben Hadj Ahmed S, Chelbi I, Kaabi B, Cherni S, Derbali M, Zhioua E. Differences in the salivary effects of wild-caught versus colonized Phlebotomus papatasi (Diptera: Psychodidae) on the development of zoonotic cutaneous leishmaniasis in BALB/c mice. J Med Entomol. 2010;47(1):74–9.
Kato H, Anderson JM, Kamhawi S, Oliveira F, Lawyer PG, Pham VM, et al. High degree of conservancy among secreted salivary gland proteins from two geographically distant Phlebotomus duboscqi sandflies populations (Mali and Kenya). BMC genomics. 2006;7:226.
Prates DB, Santos LD, Miranda JC, Souza AP, Palma MS, Barral-Netto M, et al. Changes in amounts of total salivary gland proteins of Lutzomyia longipallpis (Diptera: Psychodidae) according to age and diet. J Med Entomol. 2008;45(3):409–13.
Jacobson RL, Studentsky L, Schlein Y. Glycolytic and chitinolytic activities of Phlebotomus papatasi (Diptera: Psychodidae) from diverse ecological habitats. Folia Parasitol (Praha). 2007;54(4):301–9.
Schlein Y, Jacobson RL. Mortality of Leishmania major in Phlebotomus papatasi caused by plant feeding of the sand flies. Am J Trop Med Hyg. 1994;50(1):20–7.
Schlein Y, Jacobson RL. Photosynthesis modulates the plant feeding of Phlebotomus papatasi (Diptera: Psychodidae). J Med Entomol. 2000;37(3):319–24.
Coutinho-Abreu IV, Wadsworth M, Stayback G, Ramalho-Ortigao M, McDowell MA: Differential expression of salivary gland-encoding genes in the female sand fly Phlebotomus papatasi. J Med Entomol. 2010, In print.
Berzofsky JA. Features of T-cell recognition and antigen structure useful in the design of vaccines to elicit T-cell immunity. Vaccine. 1988;6(2):89–93.
Berzofsky JA, Cease KB, Cornette JL, Spouge JL, Margalit H, Berkower IJ, et al. Protein antigenic structures recognized by T cells: potential applications to vaccine design. Immunol Review. 1987;98:9–52.
Belkaid Y, Valenzuela JG, Kamhawi S, Rowton E, Sacks DL, Ribeiro JM. Delayed-type hypersensitivity to Phlebotomus papatasi sand fly bite: An adaptive response induced by the fly? Proc Natl Acad Sci U S A. 2000;97(12):6704–9.
Borbulevych OY, Insaidoo FK, Baxter T, Powell DJJ, Johnson LA, Restifo NP, et al. Structures of MART-126/27-35 Peptide/HLA-A2 complexes reveal a remarkable disconnect between antigen structural homology and T cell recognition. J Mol Biol. 2007;372(5):1123–36.
Collin N, Gomes R, Teixeira C, Cheng L, Laughinghouse A, Ward J, et al. Sand fly salivary proteins induce strong cellular immunity in a natural reservoir of visceral leishmaniasis with adverse consequences for Leishmania. PLoS Pathog. 2009;5:e1000441.
Gomes R, Teixeira C, Teixeira M, Oliveira F, Menezes M, Silva C, et al. Immunity to a salivary protein of a sand fly vector protects against the fatal outcome of visceral leishmaniasis in a hamster model. Proc Natl Acad Sci U S A. 2008;105:7845–50.
Oliveira F, Lawyer P, Kamhawi S, Valenzuela J. Immunity to distinct sand fly salivary proteins primes the anti-Leishmania immune response towards protection or exacerbation of disease. PLoS Negl Trop Dis. 2008;2:e226.
Yin H, Norris DE, Lanzaro GC. Sibling species in the Lutzomyia longipalpis complex differ in levels of mRNA expression for the salivary peptide, maxadilan. Insect Mol Biol. 2000;9(3):309–14.
Clement M, Posada D, Crandall KA. TCS: a computer program to estimate gene genealogies. Molecular Ecology. 2000;9(10):1657–9.
Crandall KA, Templeton AR, Sing CF. Intraspecific phylogenetics: problems and solutions. In: Scotland RW, Siebert JD, Williams DM, editors. Models in phylogeny reconstruction systematics association specias, vol. 52. Oxford: Claredon Press; 1994. p. 273–97.
We are grateful to the Egyptian Ministry of Health for their aid and in sand fly collections and the Multi National Force and Observers (MFO) military units for transportation in the Sinai Peninsula. Special gratitude goes to Ms. Maria Badra for her organizational skills and support of the work in Eygpt. We are also indebted to the Sand Fly Genome Consortium and allowed us to submit our mapping results prior to the completion and publication of the sand fly genome analysis. This project was supported by contract # W911NF0410380 from the Department of Defense (DoD) Defense Advanced Research Projects Agency (DARPA) awarded to MAM. MR-O was supported by a grant from the National Institute of Allergy and Infectious Diseases (R01AI074691).
The authors declare that they have no competing interests.
MRO participated in all aspects of the project. IVCA participated in the sand fly collection, sequencing, and drafted the manuscript. ARM, VQB, and CASF performed population genetics analysis. DFH and MAS oversaw operations and sand fly collections in Egypt and Jordan, respectively, including acquiring appropriate permissions and permits when necessary. HAH coordinated all sand fly collections in Egypt and RM and SK coordinated collections in Jordan. EYF and SSE-H participated in all sand fly collections in Egypt and advised on collecting sites. HD participated in all sand fly collections in Jordan. MW and GS maintained the sand fly colony and performed sequencing and data analysis. NFL participated in the initial design of the project and sequencing. FJC participated in the initial design of the project and data analysis and interpretation. SJE and JA performed read depth analysis. DAS performed the copy number assessment analysis. MAM conceived and coordinated the project and participated in project design, sand fly collections, dissection of salivary glands, and manuscript drafting. All authors read and approved the final manuscript.
The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Allergy And Infectious Diseases or the National Institutes of Health of the US Department of Defense. VQB is supported by CNPq (Proc. 482264/2007-1) and FACEPE (APQ-0355-2.02/06), CASFJr is a recipient of a CNPq M.Sc. scholarship (Proc. 567893/2008-1). The study protocol was approved by the Naval Medical Research Unit No. 3 Institutional Review Board in compliance with all applicable Federal regulations governing the protection of human subjects. IRB # 193, DoD # NAMRU3.2006.0011. One of the co-authors is a military service member; other co-authors are employees of the U.S. Government. This work was prepared as part of our official duties. Title 17 U.S.C. §105 provides that ‘Copyright protection under this title is not available for any work of the United States Government’. Title 17 U.S.C. §101 defines a U.S. Government work as a work prepared by a military service member or employee of the U.S. Government as part of that person’s official duties.
About this article
Cite this article
Ramalho-Ortigão, M., Coutinho-Abreu, I.V., Balbino, V.Q. et al. Phlebotomus papatasi SP15: mRNA expression variability and amino acid sequence polymorphisms of field populations. Parasites Vectors 8, 298 (2015). https://doi.org/10.1186/s13071-015-0914-2
- Sand fly
- Expression variability
- MHC class II epitopes