Project description:Background: Anopheles culicifacies is a rural vector of malaria in tropical and sub tropical South East Asian region. The salivary gland of the mosquito is the target for sporozoite interaction, blood feeding behavior, haemostasis and vector-parasite interactions. Malaria parasite matures inside the salivary gland, gain competence and transmitted to the host along with the saliva during biting. The importance of the proteins expressed in salivary gland is the first step in understanding the physiology of blood feeding and may provide insights into vector- parasite interactions. Since, no genomic or transcriptomics information is available of Anopheles culicifacies, therefore locally expressed functional proteins in salivary glands are of much importance. . Method: In this study, 1DE protein and in solution digestion was combined with tandem mass spectrometry (nano LC-MS/MS) and computational bioinformatics for data mining was employed to study the proteome profile of salivary glands of sugar fed An. culicifacies mosquito species. Functional annotation of all the identified proteins was carried out using gene ontology tools, CELLO and SMART analysis software. Results: Total 102 proteins were identified and analysed by SEQUEST algorithm against mosquito protein database from Uniprot/NCBI. Out of which 81 proteins were identified using gel free approach and 21 proteins using in-gel approach and 15 were common among these two approaches. All the identified proteins were categorized in to 23 groups of biological processes using GO tool. 7 proteins were depicted to be secretary in nature by investigating the signal peptide present. Potential proteins with unknown function were predicted by analyzing their functional association with other characterized proteins by STRING algorithm and were categorized in cell adhesion, cytoskeleton and membrane trafficking networks. Conclusion: Our study elucidates the first proteomic dataset of An. culicifacies salivary gland proteins. Functional annotation of salivary proteins and complementary gene ontology assignments in An. culicifacies species may contribute towards understanding the complex physiology of the tissues in this species. This proteome baseline data may facilitate the discernment of salivary glands and parasite correlation during blood feeding. Furthermore, this mass spectrometry based proteomic data may also provide insights into the elucidation of role of differential functional proteins present in refractory An. culicifacies mosquito and may be useful for development of effective malaria control strategies.
Project description:Background: The Anopheles gambiae salivary glands play a major role in malaria transmission and express a variety of bioactive components that facilitate blood-feeding by preventing platelet aggregation, blood clotting, vasodilatation, and inflammatory and other reactions at the probing site on the vertebrate host. Results: We have performed a global transcriptome analysis of the A. gambiae salivary gland response to blood-feeding, to identify candidate genes that are involved in hematophagy. A total of 4,978 genes were found to be transcribed in this tissue. A comparison of salivary gland transcriptomes prior to and after blood-feeding identified 52 and 41 transcripts that were significantly up-regulated and down-regulated, respectively. Ten genes were further selected to assess their role in the blood-feeding process using RNAi-mediated gene silencing methodology. Depletion of the salivary gland genes encoding D7L2, anophelin, peroxidase, the SG2 precursor, and a 5'nucleotidase gene significantly increased probing time of A. gambiae mosquitoes and thereby their capacity to blood-feed. Conclusions: The salivary gland transcriptome comprises approximately 38% of the total mosquito transcriptome and a small proportion of it is dynamically changing already at two hours in response to blood feeding. A better understanding of the salivary gland transcriptome and its function can contribute to the development of pathogen transmission control strategies and the identification of medically relevant bioactive compounds.