Identification of a Tsal152–75 salivary synthetic peptide to monitor cattle exposure to tsetse flies
© Somda et al. 2016
Received: 18 November 2015
Accepted: 1 March 2016
Published: 15 March 2016
The saliva of tsetse flies contains a cocktail of bioactive molecules inducing specific antibody responses in hosts exposed to bites. We have previously shown that an indirect-ELISA test using whole salivary extracts from Glossina morsitans submorsitans was able to discriminate between (i) cattle from tsetse infested and tsetse free areas and (ii) animals experimentally exposed to low or high numbers of tsetse flies. In the present study, our aim was to identify specific salivary synthetic peptides that could be used to develop simple immunoassays to measure cattle exposure to tsetse flies.
In a first step, 2D-electrophoresis immunoblotting, using sera from animals exposed to a variety of bloodsucking arthropods, was performed to identify specific salivary proteins recognised in cattle exposed to tsetse bites. Linear epitope prediction software and Blast analysis were then used to design synthetic peptides within the identified salivary proteins. Finally, candidate peptides were tested by indirect-ELISA on serum samples from tsetse infested and tsetse free areas, and from exposure experiments.
The combined immunoblotting and bioinformatics analyses led to the identification of five peptides carrying putative linear epitopes within two salivary proteins: the tsetse salivary gland protein 1 (Tsal1) and the Salivary Secreted Adenosine (SSA). Of these, two were synthesised and tested further based on the absence of sequence homology with other arthropods or pathogen species. IgG responses to the Tsal152–75 synthetic peptide were shown to be specific of tsetse exposure in both naturally and experimentally exposed hosts. Nevertheless, anti-Tsal152–75 IgG responses were absent in animals exposed to high tsetse biting rates.
These results suggest that Tsal152–75 specific antibodies represent a biomarker of low cattle exposure to tsetse fly. These results are discussed in the light of the other available tsetse saliva based-immunoassays and in the perspective of developing a simple serological tool for tsetse eradication campaigns to assess the tsetse free status or to detect tsetse reemergence in previously cleared areas.
African trypanosomosis, a parasitic vector-borne disease that constitutes a major constraint to development in sub-Saharan Africa, exists under two forms: Human African Trypanosomosis (HAT) known also as sleeping sickness and African Animal Trypanosomosis (AAT) or Nagana. Tsetse flies (Glossina spp.) are the cyclical vectors of the trypanosome species causing these diseases. Some 46 million cattle distributed over 10 million km2 in 38 sub-Saharan African countries [1, 2] are estimated to be at risk of contracting AAT and hamper significantly the socio-economic development of these African regions [3, 4]. Among the 38 tsetse-infested countries, 34 are amongst the poorest in the world  and have included tsetse and trypanosomosis as a constraint in their poverty reduction strategy papers under the heavily indebted poor countries initiative .
The main strategies used to control or eradicate AAT remain (i) chemoprophylaxis and chemotherapy with trypanocidal drugs, (ii) promoting trypanotolerant cattle, and (iii) tsetse control or eradication programmes . The Pan African Tsetse and Trypanosomiasis Eradication Campaign (PATTEC) initiative promoting integrated control of AAT and large tsetse eradication campaigns are underway in Uganda, Kenya and Ethiopia in East Africa and in Ghana, Burkina Faso and Mali in West Africa, with the aim of improving breeding and agriculture by creating new tsetse free areas .
Entomological evaluation tools represent an important component of any vector based control programme to appropriately target implementation areas and to evaluate their efficacy in time . To date, the conventional method used within tsetse eradication campaigns is to estimate tsetse fly densities with traps deployed at fixed or temporary sites . Important constraints are nevertheless associated with this method. The deployment and monitoring of traps, most of the time in very large areas (20 km/day/person in walking) with poor accessibility, is costly and demanding in terms of human resources and logistics. It is also known that traps have a poor efficiency (below 1 % of the flies present in a 1 km2 around the trap are captured daily) and are becoming even less efficient at low tsetse densities [8, 10, 11]. Furthermore, traps are generally set up in sentinel fixed sites and thus only provide an indirect estimate of cattle exposure to tsetse bites especially in agro-pastoral areas where herds are very mobile. Alternative methods based on the evaluation of the antibody (Ab) responses directed against bloodsucking arthropod salivary antigens have been developed in the last few years. During the blood meal, hematophagous arthropods inject a mixture of anti-haemostatic, anti-inflammatory and immunomodulatory molecules into the skin of their hosts. These molecules play a crucial role in achieving an effective blood meal , but also in the establishment or not of pathogens into the vertebrate host . The antigenic properties of these molecules have also been used to develop a range of immunoassays to detect associated specific Abs and to assess host exposure to a range of arthropod vectors of human pathogens .
Recent studies have shown that the human IgG response against whole salivary extracts (WSE) of several Glossina (G.) species (G. morsitans (m.) morsitans, G. fuscipes (f.) fuscipes and G. palpalis (p.) gambiensis) was correlated with human exposure to tsetse flies in different HAT endemic areas [15–18]. Similar results were observed in outbred cattle from a tsetse infested area in South-West Burkina Faso that were shown to harbor higher IgG responses than cattle in the North where tsetse flies are absent. These results were further confirmed in cows experimentally exposed to the bite of a range of Glossina species and other bloodsucking arthropods . However, the use of WSE in immunoassays is likely impaired by the existence of potential cross-reactions with Abs directed against common saliva antigens that are shared by different arthropod species . Other important drawbacks are the difficulty in achieving mass production of WSE in a standardized manner and the storage of these antigens over long periods. WSE are thus poorly suited for large scale studies [21, 22]. Resorting to recombinant salivary proteins has enabled to overcome some of these limitations and a number of immunoassays based on specific recombinant salivary proteins have been developed to detect exposure to a range of arthropods [23–27]. An alternative strategy has been to identify specific linear epitopes by in silico approaches in order to design peptides to be used as the immunoassay antigens. Production of short synthetic peptides at high purity can easily be entrusted to a private company; shipment and storage are facilitated as they can be lyophilised. In the last few years, such approaches were successfully applied to develop salivary biomarkers of human exposure to Aedes aegypti  and Anopheles (An.). gambiae [21, 22]. Recently, the IgG response to a synthetic peptide designed from the Tsetse Saliva Growth Factor-1 (Tsgf1) sequence, was shown to be specific of human exposure to tsetse flies  and was successfully used to assess the evolution of human tsetse contacts during a vector control intervention in Guinea .
In the present study, our aim was to design peptides that could be used to assess exposure of cattle to tsetse flies. An immuno-proteomic approach, using sera from animals experimentally exposed to several arthropod species and WSE from G. m. submorsitans, was first used to identify the most specific immunogenic salivary proteins to detect Glossina exposure. Several epitope prediction and protein conformation software were then used in combination with Blast analysis to design linear peptides within the identified proteins. Synthetic peptides were finally produced and evaluated in an indirect-ELISA test with serum samples from (i) cattle from tsetse free or tsetse infested areas and (ii) cows experimentally exposed to low or high numbers of tsetse flies.
All bovine serum samples used in this study were collected from cattle outbred in different environmental settings from Burkina Faso or were obtained by experimental exposure of cows to several arthropod species and are described in detail elsewhere . Samples from outbred cattle included 17 samples collected in a tsetse free area in Northern Burkina Faso and 43 samples collected in a tsetse infested area in the South-West part of the country. Concerning experimentally exposed sera, we included six samples collected from six cows individually exposed weekly to the bite of G. m. submorsitans, G. p. gambiensis, Amblyomma (A.) variegatum, An. gambiae, Tabanidae spp. or Stomoxys spp. Samples used in the present study were those collected at the end of the exposure experiments, after 12 weeks for An. gambiae and 23 weeks for all other species. In addition we also used 96 serum samples collected weekly from two groups of four animals that were exposed to 50 G. m. submorsitans flies twice a week during 11 weeks (high exposure group) or 10 flies weekly during the same period (low exposure group).
Production of whole salivary extracts
WSE were obtained from 10–12 day-old G. m. submorsitans uninfected males and females from the IRD/CIRAD colony in Montpellier (France). The tsetse saliva was collected as described previously  by a salivation technique that does not require the dissection of salivary glands to avoid the presence of non-salivary antigens in WSE. Briefly, tsetse flies (4–6 flies) were enclosed in 50 ml Falcon tubes closed by a mosquito net and placed above a drop of salivation buffer on warm slides. Buffer drops were collected after 10 min of salivation and were stored at −80 °C before use. Prior to electrophoresis, WSE were desalted and concentrated using the 2-D Clean-Up Kit (GE Healthcare, Germany) according the manufacturer instructions. Protein concentrations of WSE were assessed by the Bradford method.
Identification of salivary proteins
Two-dimensional electrophoresis (2DE) and gel staining
For the first dimension electrophoresis, isoelectric focusing (IEF) was carried out with 60 μg of G. m. submorsitans WSE on 11 cm pH 3–11 non linear immobilineTM dryStrips (GE Healthcare, Germany). Strips were rehydrated for 10–20 h at room temperature with protein sample made up to 170 μl in IEF buffer (7 M urea, 2 M thiourea, 4 % CHAPS, 0.2 % tergitol, 0.8 % IPG buffer, 1 % octylβglucoside and 2 % DeStreak reagent). The IEF conditions were: temperature 20 °C; current 50 μA per strip; 60 V (step’n’hold) for 1 h; 500 V (gradient) for 1 h; 1 000 V (gradient) for 1 h; 6 000 V (gradient) for 2 h and then 6 000 V holds to 30 000 Vhs. After the IEF, the strips were reduced for 10 min with 65 mM DTT buffer pH 6.8 (50 mM Tris HCl pH 6.8, 6 M urea, 30 % Glycerol, 2 % SDS) and alkylated for 15 min with 81 mM of iodoacetamide buffer pH 8.8 (50 mM Tris HCl pH 8.8, 6 M urea, 30 % Glycerol, 2 % SDS). Then equilibrated strips in pH 6.8 buffer (50 mM Tris HCl pH 6.8, 6 M urea, 30 % Glycerol, 2 % SDS) were applied to 10-20 % SDS-PAGE Tris–HCl gels (Criterion, Biorad) for second dimension and sealed with agarose (1 % agarose low melting, 0.2 % SDS and 150 mM Tris pH 6.8). 2DE-gels were run at 30 V for 20 min and then 200 V for 55 min.
After the second dimension, a preparative 2DE-gel was fixed for 20 min in 50 % ethanol/5 % acetic acid solution, and then 10 min in 50 % ethanol solution, washed three times in ultrapure water. Finally, this gel was stained with a colloidal blue solution (Fermentas, Saint-Remy les Chevreuse, France) overnight and washed four times in ultrapure water.
Identification of G. m. submorsitans salivary proteins by mass spectrometry
Visible spots after colloidal blue staining were manually excised under a laminar flow hood and enzymatic in-gel digestion was performed automatically (Tecan freedom evo® proteomics) according to the Shevchenko modified protocol .
Briefly, protein spots were digested using 150 ng of trypsin, peptide extraction was performed using 5 sonication cycles of 2 min each and peptides were concentrated 1 h at 50 °C in a heat block. Peptide samples were automatically spotted (Tecan freedom evo® proteomics). For this step, 0.5 μl of peptide sample and 0.5 μl of α-cyano-4-hydroxy-trans-cinnamic acid (a saturated solution prepared in acetonitrile/trifluoroacetic acid, 50: 0.1 %, vortexed, sonicated 30 s and microcentrifuged 30 s with a 1/3 dilution of the supernatant used as the matrix) were deposited on a 384-well MALDI anchorship target using the dry-droplet procedure  and air dried at room temperature. Peptide samples were then desalted using a 10 mM phosphate buffer and dried again at room temperature. MALDI-TOF MS analysis was performed using UltraFlex MALDI TOF-TOF mass spectrometer (Brucker Daltonics, Bremen, Germany) in the reflecton mode with a 26 kV accelerating voltage and a 50 ns delayed extraction. The AutoXecute™ module of Flexcontrol™ v3.0 (Bruker Daltonics) (laser power ranged from 40 to 50 %, 600 shots) was used to acquire mass spectra. Spectra were analysed using FlexAnalysis™ software v3.0 (Bruker Daltonics) and calibrated internally with the autoproteolysis peptides of trypsin (m/z: 842.51; 1045.556; 2211.10). Peptides were selected in the mass range of 900–3000 Da.
Peptide Mass Fingerprint identification of proteins was performed by searching against the Glossina entries of either the Swiss-Prot or TrEMBL databases (http://www.expasy.ch) and by using the MASCOT v2.3 algorithm (http://www.matrixscience.com) with trypsin enzyme specificity and one trypsin missed cleavage allowed . Carbamidomethyl was set as fixed cystein modification and oxidation was set as variable methionine modification for searches. A mass tolerance of 50 ppm was allowed for identification. Matching peptides with one missed cleavage were considered as pertinent when there were two consecutive basic residues or when arginine and lysine residues were in an acidic context. MASCOT scores higher than 47 were considered as significant (p < 0.05) for Swiss-Prot and TrEMBL (v 2011_04) database interrogations.
Immunoblotting and specific proteins identification
The proteins separated by 2DE were then electro-transferred onto a PVDF (polyvinylidene dilfluoride, Biorad) membrane for western blotting as previously described . The PVDF membrane was washed in Tris Buffer Saline (TBS) and then incubated in blocking buffer (TBS tween 0.05 % and 5 % dry milk) for 1 h 30 min. After washing three times with TBS tween 0.1 %, the membrane was incubated overnight at 4 °C with bovine serum diluted at 1/100 in TBS tween 0.05 % with 2.5 % dry milk. The membranes were then washed three times with TBS tween 0.1 % and three times with TBS, and then equilibrated with 2.5 % dry milk in TBS for 15 min. Mouse anti-bovine IgG conjugated to peroxidase (Sigma, St Louis, MO, USA) was added at a dilution of 1/15 000 in TBS tween 2.5 % with 2.5 % dry milk for 2 h 30 at room temperature. After addition of the secondary antibody, the membranes were washed four times with TBS tween 0.1 % and four times with TBS. The immunogenic proteins in membranes were revealed using the West Pico ECL (Pierce, Rockford, IL, USA) and exposed to XCLXposure films (Pierce) for 4 min.
Digital images of both western blotting and 2D gel were captured by scanning at 16 bits resolution under non saturating conditions, 300 dpi and stored in TIFF format. The proteins visualised on 2D gels were matched with immunogenic proteins detected by western blotting using SameSpotsTM Software 3.3 (Nonlinear Dynamics) in order to identify immunogenic spots.
The sequences of proteins of interest were downloaded on the ExPASy Proteomics Tools server (http://www.expasy.ch). The signal peptides were predicted by SignalP 4.0  and cleaved from the immature protein sequences. Secondary structures were then predicted with NetSurfP  and I-Tasser  servers. The surface exposure of proteins of interest has been viewed in 3D by the Pymol software (http://www.pymol.org).
The identification of putative linear B-cell epitopes of identified proteins was carried out with Bcepred , Bcpred  and Antigenicity plot server . All epitopes that were identified by at least two out of three algorithms were selected. Peptides having a length less than 30 amino acids and including the maximum of epitopes were selected for further analyses. The specificity of peptide sequences to the Glossina genus was checked by requests on the NCBI Blast T non redundant databases (http://www.blast.ncbi.nlm.nih.gov/Blast.cgi). Synthetic peptides were synthesized and purified (95 %) by Genepep SA (St-Jean de Vedas, Montpellier, France). All peptides were shipped in lyophilised form and were then resuspended in ultrapure water (1 mg/ml) and stored as frozen aliquots.
Evaluation of bovine IgG Ab level against synthetic peptides and WSE
The anti-peptide IgG responses were measured by indirect-ELISA, according to Poinsignon et al.  with minor modifications. Briefly, microtiter plates Maxisorp (Nunc, Roskilde, Denmark) were coated with peptide (20 μg/mL) in phosphate buffer saline (PBS) for 2 h 30 min at 37 °C. After three washes, plates were saturated with blocking buffer (Pierce, thermo scientific) 1 h at 37 °C. Sera diluted in PBS-tween 1 % (1/30 for Tsal152–75 and 1/10 for Tsal1145–166) were incubated overnight at 4 °C. After five washes, sheep anti-bovine IgG conjugated to peroxidase (AbD Serotec, France) was added (in dilution 1/4000 for Tsal152–75 and 1/2000 for Tsal1145–166) in PBS tween 1 % for 1 h 30 at room temperature. Colorimetric development was carried out using ABTS (2,2′-azino-bis (3-ethylbenzthiazoline 6-sulfonic acid) diammonium) (Sigma St Louis, MO, USA) in 50 mM citrate buffer (pH 4) containing 0.003 % H2O2. Optical density (OD) was measured at 405 nm (45 min for Tsal152–75 and 1 h for Tsal1145–166). IgG responses against WSE were also evaluated on the same samples as described previously . Each test sample was analysed in duplicate in antigen wells and, in parallel, in a blank well containing no peptide solution or no WSE (ODn) to control non-specific reactions between the serum and the reagents. Individual results were expressed as ∆OD value calculated according to the formula ∆OD = ODx - ODn, where ODx represents the mean of individual OD in both antigen wells, as previously used .
All data were analysed with GraphPad Prism5 software® (San Diego, CA, USA). After verifying that ∆OD values did not assume Gaussian distribution using Shapiro-Wilk test, the non-parametric Mann–Whitney U-test was used for comparison of Ab levels between two independent groups. All differences were considered significant at P < 0.05.
Identification of specific immunogenic salivary proteins of Glossina exposure
Glossina morsitans submorsitans salivary secreted proteins identified by mass spectrometry. Database searches were performed against the Glossina entries of the SwissProt or TrEMBL databases with the MASCOT software. Molecular mass, pI and sequence coverage are shown. All the MASCOT scores are > 47 (p < 0.05)
Swissprot-TrEMBL accession number
Length (amino acids)
Tsetse salivary gland protein 1, G. m. m.
Endonuclease activity and blood meal digestion
Tsetse salivary gland protein 2, G. m. m.
Endonuclease activity and blood meal digestion
Tsetse salivary gland protein 2, isoform A, G. m. m.
Endonuclease activity and blood meal digestion
Tsetse salivary gland protein 2, isoform B, G. m. m.
Endonuclease activity and blood meal digestion
Tsetse Salivary Growth Factor-1, G. m. m.
Salivary adenosine deaminase (ADA)
Vasolidation and platelet anti-aggregating
Salivary Secreted Adenosine, G. m. m.
Salivary adenosine deaminase (ADA)
Vasolidation and platelet anti-aggregating
Adenosine deaminase-related growth factor C, G. m. m.
Salivary adenosine deaminase (ADA)
Vasolidation and platelet anti-aggregating
5′nucleotidase family salivary protein, G. m. m.
Tsetse Antigen 5, G. m. m.
Antigen 5 (AG5) family
Hypersensitivity I reaction and anti-hemostatic activity
Glossina morsitans submorsitans salivary secreted proteins recognised by cows exposed to tsetse and other hematophagous arthropods
Arthropod species used for experimental exposure
G. m. submorsitans
G. p. gambiensis
Ability of synthetic peptides to detect exposure to tsetse flies
In this study, immuno-proteomics and bioinformatics tools were combined to design specific peptides as potential biomarker candidates for evaluating cattle exposure to tsetse flies. Indirect-ELISA tests using the identified peptides as antigens were then performed on sera from cattle exposed naturally or experimentally to tsetse bites. The Tsal152–75 peptide appears as a promising candidate as anti-Tsal152–75 IgG responses were detected in both naturally exposed animals and in cows submitted to low tsetse exposure levels that where close to the tsetse challenge observed in the study area .
A number of tests have been developed to assess host exposure to tsetse bites. Early studies focused on the detection of host Abs raised against WSE from several tsetse species: G. p. gambiensis to assess human exposure in West Africa ; G. m. submorsitans to assess cattle exposure in West Africa ; G. f. fuscipes to assess human exposure in Central Africa [16, 17]; and G. m. morsitans to assess human exposure in East Africa . These studies showed that proteins from the Tsal family are major constituents of tsetse saliva, and induce strong Ab responses in tsetse exposed hosts. These proteins were thus considered as interesting candidates to develop biomarkers of tsetse exposure. Consecutively, it was shown that a G. m. morsitans Tsal1 recombinant proteins could be used instead of WSE in mice and pigs experimentally exposed to tsetse flies [15, 26]. Because the production of Tsal recombinant proteins in large quantities is difficult, possibly due to the DNA binding/endonuclease activity of Tsal proteins , these authors also developed a nanobody-based competitive immunoassay to detect anti-Tsal Abs . The advantage of this method is that the same test can be applied to a wide range of hosts; nevertheless the test still requires the use of WSE, the production/storage of which can be a limitation in the context of laboratories from developing countries. In the present study, we evaluated the immunogenic properties of G. m. submorsitans salivary antigens in cows exposed to two tsetse species and to other bloodsucking arthropods. Whereas G. m. submorsitans Tsal proteins were shown to be highly immunogenic, only anti-Tsal1 IgG Abs were specific to tsetse fly exposure as immune cross-reactions with Tsal2 proteins were observed in animals exposed to stable flies or An. gambiae. The results presented in the present work point out Tsal1 as the best salivary antigen candidate to develop a highly specific biomarker of cattle exposure. Nevertheless, a study carried out on humans led to different results  as both Tsal proteins were recognised by sera from unexposed individuals. Instead this work led to the identification of a specific epitope within the TSGF-1 salivary protein , which has now been validated to monitor human exposure to G. p. gambiensis during a vector control campaign in Guinea . It is noteworthy that in the present study, Ab response was detected against TSGF-1 only in the cow exposed to G. m. submorsitans. This illustrates that results obtained in a given animal model cannot always be extrapolated to another. These differences are likely due (i) to the sequence diversity of salivary proteins between the different tsetse species; (ii) to host species specificities in immune recognition; but also (iii) to the range/level of biting insects or pathogens to which tsetse hosts are submitted to and that can vary greatly between mammals or eco-climatic contexts. Hence, available serological tools, especially those relying on the recognition of a limited number of epitopes (such as it is the case for recombinant proteins and synthetic peptides), should be carefully evaluated prior to implementation as specificity and sensitivity of a given test may vary greatly according to the different contexts.
Tsal152–75-based immunoassays, appear as promising tools to assess cattle exposure in West Africa where G. morsitans and G. palpalis subspecies represent the main tsetse species. Because this peptide was designed from the G. m. morsitans Tsal1 sequence, it might also be applied more widely as suggested by the results obtained experimentally on mice and pigs with the G. m. morsitans r-Tsal1 protein . A surprising result was the fact that in our experimental conditions, no Ab response to Tsal152–75 was observed in the group of cows submitted to intensive tsetse fly bites despite the fact these cows exhibited strong Ab responses against WSE. This suggests that single epitopes behave differently in terms of immunogenicity according to the exposure conditions. Noteworthy, r-Tsal1 indirect-ELISA tests  or Tsal specific monoclonal nanobodies  were also less efficient than WSE to discriminate between mice or pigs exposed to different biting regimens. According to our results, the anti-Tsal152–75 Ab response represents a biomarker of low exposure levels but is likely less useful to measure the intensity of cattle exposure. The mechanisms underlying this intriguing result are not yet understood but could be related to antigen specific B cell exhaustion or anergy induced by high antigenic stimulation levels. This is however, an interesting feature for a biomarker candidate as it suggests that the development of a qualitative Tsal152–75 synthetic peptide-based immunochromatographic rapid test to detect low tsetse exposure levels is a reachable goal.
Declaring tsetse free areas or detecting the possible reemergence or reintroduction of tsetse flies after interventions is an important aspect of tsetse eradication campaigns . Using tsetse traps only is challenging because this entomological method is not sensitive, even less when tsetse densities are low . Hence in such context, it underestimates the true tsetse density or incorrectly concludes to the absence of flies. Serological tests able to detect low exposure levels could thus represent important alternative and complementary tools. Such tests could be used in the field on cattle herds or sentinel animals that are mobile baits naturally attractive for tsetse flies. Such sentinel animals are already commonly used in the frame of tsetse vector control campaigns to monitor trypanosome infections, an indirect marker of tsetse exposure. In our experimental conditions, the bite by less than 30 flies over a period of three weeks was sufficient to induce anti-Tsal152–75 Ab responses. Further studies evaluating different biting regimens (number of flies, biting frequencies) as well as re-challenge experiments in previously exposed animals are required to determine more precisely the sensitivity of Tsal152–75-based immunoassays. Indeed anti-saliva Abs were shown to be boosted by very low numbers of tsetse bites in re-challenged mice and pigs . It will also be useful to determinate the persistency of Tsal152–75 Ab after an exposure to tsetse bites.
In conclusion, we identified a Tsal1 peptide whose Ab response is specific of cattle tsetse fly exposure. The IgG response directed to the Tsal152–75 synthetic peptide could be a biomarker of low cattle exposure. These are promising results in the framework of developing simple Tsal152–75 based immunoassays (such as rapid tests) to monitor the tsetse flies presence at low fly densities or to detect early reemergence in previously cleared areas.
This work was supported by the French Ministry of Foreign Affairs (AIRES-Sud project), the “Institut de Recherche pour le Développment” (IRD), the International Atomic Energy Agency (IAEA) and the International Foundation for Science (IFS). Martin Bienvenu Somda received a PhD grant from the “Service de Coopération et d’Action Culturelle” from the French Embassy in Burkina Faso.
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- Vreysen MJ, Seck MT, Sall B, Bouyer J. Tsetse flies: Their biology and control using area-wide integrated pest management approaches. J Invertebr Pathol. 2013;112:S15–25.View ArticlePubMedGoogle Scholar
- Cattand P. Food and Agriculture Organization, Programme Against African Trypanosomiasis (PAAT). Linking sustainable human and animal African trypanosomiasis control with rural development strategies. 2010. p. 76. PAAT technical and scientific series 10. Rome: Food and Agriculture Organization of the United Nations.Google Scholar
- Kabayo JP. Aiming to eliminate tsetse from Africa. Trends Parasitol. 2002;18(11):473–5.View ArticlePubMedGoogle Scholar
- FAO. Impacts of trypanosomosis on African agriculture, by B.M. Swallow. Rome: PAAT Technical and Scientific Series No. 2; 2000.Google Scholar
- Feldmann U, Hendrichs J. The concept for integration of the sterile insect technique as a key component of future sub-regional, area-wide tsetse and trypanosomosis management operations. In: Feldmann U, Hendrichs J, editors. Animal Trypanosomosis: Vector and Disease Control Using Nuclear Techniques: Proceeding of the Second FAO/IAEA Seminar for Africa, November 27-December 1, 1995, Zanzibar, United Republic of Tanzania. Vienna: Backhuys Publishers; 1995. p. 193–214.Google Scholar
- Maitima JM, Rodriguez LC, Kshatriya M, Mugatha S. Guidelines for assessing environmental and socio-economic impacts of tsetse and trypanosomiasis interventions. Nairobi: International Livestock Research Institute (ILRI). PO Box 30709–00100; 2007.Google Scholar
- Schofield CJ, Kabayo JP. Trypanosomiasis vector control in Africa and Latin America. Parasit Vectors. 2008;1(1):24.View ArticlePubMedPubMed CentralGoogle Scholar
- Dicko AH, Lancelot R, Seck MT, Guerrini L, Sall B, Lo M, et al. Using species distribution models to optimize vector control in the framework of the tsetse eradication campaign in Senegal. Proc Natl Acad Sci U S A. 2014;111(28):10149–54.View ArticlePubMedPubMed CentralGoogle Scholar
- Bouyer F, Seck MT, Dicko AH, Sall B, Lo M, Vreysen MJ, et al. Ex-ante benefit-cost analysis of the elimination of a Glossina palpalis gambiensis population in the Niayes of Senegal. PLoS Negl Trop Dis. 2014;8(8):e3112.View ArticlePubMedPubMed CentralGoogle Scholar
- Gouteux JP, Artzrouni M, Jarry M. A density-dependent model with reinvasion for estimating tsetse fly populations (Diptera: Glossinidae) through trapping. Bull Entomol Res. 2001;91(3):177–84.PubMedGoogle Scholar
- Barclay HJ, Vreysen MJB. The interaction of dispersal and control methods for the riverine tsetse fly Glossina palpalis gambiensis (Diptera: Glossinidae): a modelling study. Popul Ecol. 2013;55:53–68.View ArticleGoogle Scholar
- Ribeiro JM, Francischetti IM. Role of arthropod saliva in blood feeding: sialome and post-sialome perspectives. Annu Rev Entomol. 2003;48:73–88.View ArticlePubMedGoogle Scholar
- Oliveira F, Lawyer PG, Kamhawi S, Valenzuela JG. 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(4):e226.View ArticlePubMedPubMed CentralGoogle Scholar
- Coutinho-Abreu IV, Guimaraes-Costa AB, Valenzuela JG. Impact of insect salivary proteins in blood feeding, host immunity, disease, and in the development of biomarkers for vector exposure. Curr Opin Insect Sci. 2015;10:98–103.View ArticlePubMedGoogle Scholar
- Caljon G, Van Den Abbeele J, Sternberg JM, Coosemans M, De Baetselier P, Magez S. Tsetse fly saliva biases the immune response to Th2 and induces anti-vector antibodies that are a useful tool for exposure assessment. Int J Parasitol. 2006;36(9):1025–35.View ArticlePubMedGoogle Scholar
- Poinsignon A, Remoue F, Rossignol M, Cornelie S, Courtin D, Grebaut P, et al. Human IgG antibody response to Glossina saliva: an epidemiologic marker of exposure to Glossina bites. Am J Trop Med Hyg. 2008;78(5):750–3.PubMedGoogle Scholar
- Poinsignon A, Cornelie S, Remoue F, Grebaut P, Courtin D, Garcia A, et al. Human/vector relationships during human african trypanosomiasis: initial screening of immunogenic salivary proteins of Glossina species. Am J Trop Med Hyg. 2007;76(2):327–33.PubMedGoogle Scholar
- Dama E, Cornelie S, Somda MB, Camara M, Kambiré RFC, et al. Identification of Glossina palpalis gambiensis specific salivary antigens: towards the development of a serologic biomarker of human exposure to tsetse flies in West Africa. Microbes Infect. 2013;15(5):416–27.View ArticlePubMedGoogle Scholar
- Somda MB, Bengaly Z, Dama E, Poinsignon A, Dayo GK, Sidibe I, et al. First insights into the cattle serological response to tsetse salivary antigens: a promising direct biomarker of exposure to tsetse bites. Vet Parasitol. 2013;197:332–40.View ArticlePubMedGoogle Scholar
- Fontaine A, Diouf I, Bakkali N, Misse D, Pages F, Fusai T, et al. Implication of haematophagous arthropod salivary proteins in host-vector interactions. Parasit Vectors. 2011;4:187.View ArticlePubMedPubMed CentralGoogle Scholar
- Drame PM, Poinsignon A, Besnard P, Cornelie S, Le Mire J, Toto JC, et al. Human antibody responses to the Anopheles salivary gSG6-P1 peptide: a novel tool for evaluating the efficacy of ITNs in malaria vector control. PLoS One. 2010;5(12):e15596.View ArticlePubMedPubMed CentralGoogle Scholar
- Poinsignon A, Cornelie S, Mestres-Simon M, Lanfrancotti A, Rossignol M, Boulanger D, et al. Novel peptide marker corresponding to salivary protein gSG6 potentially identifies exposure to Anopheles bites. PLoS One. 2008;3(6):e2472.View ArticlePubMedPubMed CentralGoogle Scholar
- Sanders ML, Glass GE, Scott AL, Schwartz BS. Kinetics and cross-species comparisons of host antibody responses to lone star ticks and American dog ticks (Acari: Ixodidae). J Med Entomol. 1998;35(5):849–56.View ArticlePubMedGoogle Scholar
- Drahota J, Martin-Martin I, Sumova P, Rohousova I, Jimenez M, Molina R, et al. Recombinant antigens from Phlebotomus perniciosus saliva as markers of canine exposure to visceral leishmaniases vector. PLoS Negl Trop Dis. 2014;8(1):e2597.View ArticlePubMedPubMed CentralGoogle Scholar
- Schwarz A, Helling S, Collin N, Teixeira CR, Medrano-Mercado N, Hume JC, et al. Immunogenic salivary proteins of Triatoma infestans: development of a recombinant antigen for the detection of low-level infestation of triatomines. PLoS Negl Trop Dis. 2009;3(10):e532.View ArticlePubMedPubMed CentralGoogle Scholar
- Caljon G, Duguma R, De Deken R, Schauvliege S, Gasthuys F, Duchateau L, et al. Serological responses and biomarker evaluation in mice and pigs exposed to tsetse fly bites. PLoS Negl Trop Dis. 2014;8(5):e2911.View ArticlePubMedPubMed CentralGoogle Scholar
- Rizzo C, Ronca R, Fiorentino G, Verra F, Mangano V, Poinsignon A, et al. Humoral response to the Anopheles gambiae salivary protein gSG6: a serological indicator of exposure to Afrotropical malaria vectors. PLoS One. 2011;6(3):e17980.View ArticlePubMedPubMed CentralGoogle Scholar
- Elanga Ndille E, Doucoure S, Damien G, Mouchet F, Drame PM, Cornelie S, et al. First Attempt To Validate Human IgG Antibody Response to Nterm-34 kDa Salivary Peptide as Biomarker for Evaluating Exposure to Aedes aegypti Bites. PLoS Negl Trop Dis. 2012;6(11):e1905.View ArticlePubMedPubMed CentralGoogle Scholar
- Dama E, Cornelie S, Camara M, Somda MB, Poinsignon A, Ilboudo A, et al. In silico identification of a candidate synthetic peptide (Tsgf118-43) to monitor human exposure to tsetse flies in West Africa. PLoS Negl Trop Dis. 2013;7(9):e2455.View ArticlePubMedPubMed CentralGoogle Scholar
- Courtin F, Camara M, Rayaisse JB, Kagbadouno M, Dama E, Camara O, et al. Reducing Human-Tsetse Contact Significantly Enhances the Efficacy of Sleeping Sickness Active Screening Campaigns: A Promising Result in the Context of Elimination. PLoS Negl Trop Dis. 2015;9(8):e0003727.View ArticlePubMedPubMed CentralGoogle Scholar
- Shevchenko A, Wilm M, Vorm O, Mann M. Mass spectrometric sequencing of proteins silver-stained polyacrylamide gels. Anal Chem. 1996;68(5):850–8.View ArticlePubMedGoogle Scholar
- Karas M, Hillenkamp F. Laser desorption ionization of proteins with molecular masses exceeding 10,000 daltons. Anal Chem. 1988;60(20):2299–301.View ArticlePubMedGoogle Scholar
- Wilkins MR, Williams KL. Cross-species protein identification using amino acid composition, peptide mass fingerprinting, isoelectric point and molecular mass: a theoretical evaluation. J Theor Biol. 1997;186(1):7–15.View ArticlePubMedGoogle Scholar
- Cornelie S, Remoue F, Doucoure S, Ndiaye T, Sauvage FX, Boulanger D, et al. An insight into immunogenic salivary proteins of Anopheles gambiae in african children. Malar J. 2007;6:75.View ArticlePubMedPubMed CentralGoogle Scholar
- Petersen TN, Brunak S, von Heijne G, Nielsen H. SignalP 4.0: discriminating signal peptides from transmembrane regions. Nat Methods. 2011;8(10):785–6.View ArticlePubMedGoogle Scholar
- Petersen B, Petersen TN, Andersen P, Nielsen M, Lundegaard C. A generic method for assignment of reliability scores applied to solvent accessibility predictions. BMC Struct Biol. 2009;9:51.View ArticlePubMedPubMed CentralGoogle Scholar
- Zhang Y. I-TASSER server for protein 3D structure prediction. BMC Bioinformatics. 2008;9:40.View ArticlePubMedPubMed CentralGoogle Scholar
- Saha S, Raghava GPS. BcePred: Prediction of Continuous B-Cell Epitopes in Antigenic Sequences Using Physico-chemical Properties. In: Berlin S, editor. Artificial Immune Systems. Heidelberg. pp 197–204; 2004.Google Scholar
- El-Manzalawy Y, Dobbs D, Honavar V. Predicting linear B-cell epitopes using string kernels. J Mol Recognit. 2008;21(4):243–55.View ArticlePubMedPubMed CentralGoogle Scholar
- Hopp TP, Woods KR. Prediction of protein antigenic determinants from amino acid sequences. Proc Natl Acad Sci U S A. 1981;78(6):3824–8.View ArticlePubMedPubMed CentralGoogle Scholar
- Alves-Silva J, Ribeiro JM, Van Den Abbeele J, Attardo G, Hao Z, Haines LR, et al. An insight into the sialome of Glossina morsitans morsitans. BMC Genomics. 2010;11:213.View ArticlePubMedPubMed CentralGoogle Scholar
- Dicko AH, Percoma L, Sow A, Adam Y, Mahama C, Sidibe I, et al. A Spatio-temporal Model of African Animal Trypanosomosis Risk. PLoS Negl Trop Dis. 2015;9(7):e0003921.View ArticlePubMedPubMed CentralGoogle Scholar
- Caljon G, De Ridder K, Stijlemans B, Coosemans M, Magez S, De Baetselier P, et al. Tsetse salivary gland proteins 1 and 2 are high affinity nucleic acid binding proteins with residual nuclease activity. PLoS One. 2012;7(10):e47233.View ArticlePubMedPubMed CentralGoogle Scholar
- Caljon G, Hussain S, Vermeiren L, Van Den Abbeele J. Description of a nanobody-based competitive immunoassay to detect tsetse fly exposure. PLoS Negl Trop Dis. 2015;9(2):e0003456.View ArticlePubMedPubMed CentralGoogle Scholar
- Barclay HJ, Hargrove JW. Probability models to facilitate a declaration of pest-free status, with special reference to tsetse (Diptera: Glossinidae). Bull Entomol Res. 2005;95(1):1–11.View ArticlePubMedGoogle Scholar