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      Identification of a Tsal1 52–75 salivary synthetic peptide to monitor cattle exposure to tsetse flies

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          Abstract

          Background

          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.

          Methods

          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.

          Results

          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 Tsal1 52–75 synthetic peptide were shown to be specific of tsetse exposure in both naturally and experimentally exposed hosts. Nevertheless, anti-Tsal1 52–75 IgG responses were absent in animals exposed to high tsetse biting rates.

          Conclusions

          These results suggest that Tsal1 52–75 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.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s13071-016-1414-8) contains supplementary material, which is available to authorized users.

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          Most cited references39

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          A generic method for assignment of reliability scores applied to solvent accessibility predictions

          Background Estimation of the reliability of specific real value predictions is nontrivial and the efficacy of this is often questionable. It is important to know if you can trust a given prediction and therefore the best methods associate a prediction with a reliability score or index. For discrete qualitative predictions, the reliability is conventionally estimated as the difference between output scores of selected classes. Such an approach is not feasible for methods that predict a biological feature as a single real value rather than a classification. As a solution to this challenge, we have implemented a method that predicts the relative surface accessibility of an amino acid and simultaneously predicts the reliability for each prediction, in the form of a Z-score. Results An ensemble of artificial neural networks has been trained on a set of experimentally solved protein structures to predict the relative exposure of the amino acids. The method assigns a reliability score to each surface accessibility prediction as an inherent part of the training process. This is in contrast to the most commonly used procedures where reliabilities are obtained by post-processing the output. Conclusion The performance of the neural networks was evaluated on a commonly used set of sequences known as the CB513 set. An overall Pearson's correlation coefficient of 0.72 was obtained, which is comparable to the performance of the currently best public available method, Real-SPINE. Both methods associate a reliability score with the individual predictions. However, our implementation of reliability scores in the form of a Z-score is shown to be the more informative measure for discriminating good predictions from bad ones in the entire range from completely buried to fully exposed amino acids. This is evident when comparing the Pearson's correlation coefficient for the upper 20% of predictions sorted according to reliability. For this subset, values of 0.79 and 0.74 are obtained using our and the compared method, respectively. This tendency is true for any selected subset.
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            Prediction of protein antigenic determinants from amino acid sequences.

            A method is presented for locating protein antigenic determinants by analyzing amino acid sequences in order to find the point of greatest local hydrophilicity. This is accomplished by assigning each amino acid a numerical value (hydrophilicity value) and then repetitively averaging these values along the peptide chain. The point of highest local average hydrophilicity is invariably located in, or immediately adjacent to, an antigenic determinant. It was found that the prediction success rate depended on averaging group length, with hexapeptide averages yielding optimal results. The method was developed using 12 proteins for which extensive immunochemical analysis has been carried out and subsequently was used to predict antigenic determinants for the following proteins: hepatitis B surface antigen, influenza hemagglutinins, fowl plague virus hemagglutinin, human histocompatibility antigen HLA-B7, human interferons, Escherichia coli and cholera enterotoxins, ragweed allergens Ra3 and Ra5, and streptococcal M protein. The hepatitis B surface antigen sequence was synthesized by chemical means and was shown to have antigenic activity by radioimmunoassay.
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              Role of arthropod saliva in blood feeding: sialome and post-sialome perspectives.

              This review addresses the problems insects and ticks face to feed on blood and the solutions these invertebrates engender to overcome these obstacles, including a sophisticated salivary cocktail of potent pharmacologic compounds. Recent advances in transcriptome and proteome research allow an unprecedented insight into the complexity of these compounds, indicating that their molecular diversity as well as the diversity of their targets is still larger than previously thought.
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                Author and article information

                Contributors
                somdabienvenu@yahoo.fr
                sylvie.cornelie@ird.fr
                zbengaly1@gmail.com
                francoise.mathieu-daude@ird.fr
                anne.poinsignon@ird.fr
                dama_emilie@hotmail.fr
                jeremy.bouyer@cirad.fr
                sambo@fasonet.bf
                edith.demettre@fpp.cnrs.fr
                martial.seveno@fpp.cnrs.fr
                franck.remoue@ird.fr
                sanonant@yahoo.fr
                bruno.bucheton@ird.fr
                Journal
                Parasit Vectors
                Parasit Vectors
                Parasites & Vectors
                BioMed Central (London )
                1756-3305
                15 March 2016
                15 March 2016
                2016
                : 9
                : 149
                Affiliations
                [ ]Centre International de Recherche-Développement sur l’Elevage en zone Subhumide (CIRDES), 01 BP 454 Bobo-Dioulasso 01, Burkina Faso
                [ ]Université Polytechnique de Bobo-Dioulasso, 01 BP 1 091 Bobo-Dioulasso 01, Burkina Faso
                [ ]Institut de Recherche pour le Développement (IRD), Unité Mixte de Recherche 224, Maladies Infectieuses et Vecteurs: Ecologie, Génétique, Evolution et Contrôle (MIVEGEC), Montpellier, 34394 Cedex 5 France
                [ ]CIRAD, UMR CIRAD-INRA Contrôle des Maladies Animales, Campus International de Baillarguet, F34398 Montpellier, France
                [ ]Pan African Tsetse and Trypanosomosis Eradication Campaign (PATTEC), Projet de Création de Zones Libérées Durablement de Tsé-tsé et de Trypanosomoses (PCZLD), Bobo-Dioulasso, Burkina Faso
                [ ]Institut de Génomique Fonctionnelle, CNRS UMR 5203, INSERM U1191, UM1, UM2, Plate-forme de Protéomique Fonctionnelle CNRS UMS BioCampus 3426, 34094 Montpellier, France
                [ ]Université de Ouagadougou, UFR/SVT, Laboratoire d’Entomologie Fondamentale et Appliquée (LEFA), BP 9499 Ouagadougou 06, Burkina Faso
                [ ]Institut de Recherche pour le Développement, Unité Mixte de Recherche IRD-CIRAD 177, Interactions hôtes-vecteurs-parasites dans les maladies dues aux Trypanosomatidae, Campus International de Baillarguet, Montpellier, 34398 Cedex 5 France
                Article
                1414
                10.1186/s13071-016-1414-8
                4791801
                26979518
                2a42b850-97ed-481e-82b3-17642e82b39f
                © Somda et al. 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 18 November 2015
                : 1 March 2016
                Categories
                Research
                Custom metadata
                © The Author(s) 2016

                Parasitology
                synthetic peptide,biomarker of exposure,cattle,tsetse flies,african animal trypanosomosis

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