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J Infect Dis. 2018 Jan 30;217(4):622-627. doi: 10.1093/infdis/jix580.

Dramatic Changes in Malaria Population Genetic Complexity in Dielmo and Ndiop, Senegal, Revealed Using Genomic Surveillance.

Author information

1
Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
2
Laboratory of Bacteriology and Virology, Le Dantec Hospital, Senegal.
3
Laboratory of Parasitology and Mycology, Faculty of Medicine and Pharmacy, Cheikh Anta Diop University, Senegal.
4
Immunology Unit, Institut Pasteur de Dakar, Senegal.
5
Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge.
6
Epidemiology Unit, Institut Pasteur de Dakar, Senegal.
7
French National Research Institute for Sustainable Development, URMITE, Senegal.
8
Institut de Recherche en Santé, de Surveillance Epidemiologique et de Formations, Senegal.
9
Department of Organismic and Evolutionary Biology, Harvard University, Cambridge.
10
School of Nursing and Health Sciences, Simmons College, Boston, Massachusetts.

Abstract

Dramatic changes in transmission intensity can impact Plasmodium population diversity. Using samples from 2 distant time-points in the Dielmo/Ndiop longitudinal cohorts from Senegal, we applied a molecular barcode tool to detect changes in parasite genotypes and complexity of infection that corresponded to changes in transmission intensity. We observed a striking statistically significant difference in genetic diversity between the 2 parasite populations. Furthermore, we identified a genotype in Dielmo and Ndiop previously observed in Thiès, potentially implicating imported malaria. This genetic surveillance study validates the molecular barcode as a tool to assess parasite population diversity changes and track parasite genotypes.

KEYWORDS:

Dielmo/Ndiop; Senegal; genomic surveillance; malaria; molecular barcode

PMID:
29325146
PMCID:
PMC6279132
DOI:
10.1093/infdis/jix580
[Indexed for MEDLINE]
Free PMC Article

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