- Dr Aissatou Toure, Babacar Diouf (Immunology Unit)
- Dr Fatoumata D Sarr (Epidemiology Unit)
- Drs Amadou A Sall, Abdourahmane Sow (Arbovirology Unit)
- Dr Cheikh Loucoubar (G4 Biostatic)
Context: Dramatic changes in the intensity of transmission can impact the diversity of populations of Plasmodium. Indeed, the reduction in transmission is often associated with a change in the structure of parasite populations resulting from clonal selection in relation to interventions (preventive and therapeutic treatments, prevention of human-vector contact, etc.). In Senegal, due to the differential success of interventions across the country, this results in a different structuring of parasite populations depending on the epidemiological context and consequently the need for different genetic and genomic approaches to characterize the circulating parasites. These approaches are alternatives to traditional, very difficult and expensive estimates based on the determination of entomological inoculation rates, but also tools for evaluating malaria control efforts.
While the genotyping of polymorphism markers msp1 and msp2 allows a characterization of the parasites in areas of strong transmission such as in Kédougou, more detailed approaches using the technology of "New Generation Sequencing (NGS)" or "Molecular Barcoding" are necessary for a genetic characterization of residual parasites .
Goals: Thanks to the biological resource banks set up within the framework of the Dielmo / Ndiop research program and research projects in Kédougou, this involves analyzing the dynamics of the evolution of plasmodial strains in relation to the various control interventions and the changing epidemiology of malaria. More specifically, this work aims to:
- determine the genetic characteristics of the parasites circulating in Kédougou in the case of simple infections Plasmodium falciparum or concurrent infections with arboviruses
- determine the genetic characteristics of strains that have resisted the various control interventions
- determine the prevalence of specific signatures (clusters) resulting from a particular intervention
- identify the carriers of these parasites and the human factors that predispose to this carriage
Sample barcodes with details (patient code, date of collection, sex, age, parasite, origin). SNPs are displayed for each of the 24 markers. The IOC is also presented, the listed clusters are colored on the far right.