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Abstract
Zanzibar has made significant progress toward malaria elimination, but recent stagnation requires novel approaches. We developed a highly multiplexed droplet digital PCR (ddPCR)-based amplicon sequencing method targeting 35 microhaplotypes and drug-resistance loci, and successfully sequenced 290 samples from five districts covering both main islands. Here, we elucidate fine-scale Plasmodium falciparum population structure and infer relatedness and connectivity of infections using an identity-by-descent (IBD) approach. Despite high genetic diversity, we observe pronounced fine-scale spatial and temporal parasite genetic structure. Clusters of near-clonal infections on Pemba indicate persistent local transmission with limited parasite importation, presenting an opportunity for local elimination efforts. Furthermore, we observe an admixed parasite population on Unguja and detect a substantial fraction (2.9%) of significantly related infection pairs between Zanzibar and the mainland, suggesting recent importation. Our study provides a high-resolution view of parasite genetic structure across the Zanzibar archipelago and provides actionable insights for prioritizing malaria elimination efforts.
Sequencing malaria parasites from low density infections in small amounts of dried blood is important for large-scale genomic surveillance. Here, the authors develop and validate a highly multiplexed droplet digital PCR-based amplicon deep sequencing assay and apply it to data from Zanzibar, Tanzania.
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1 University of Notre Dame, Department of Biological Sciences, Eck Institute for Global Health, Indiana, USA (GRID:grid.131063.6) (ISNI:0000 0001 2168 0066); Swiss Tropical and Public Health Institute, Allschwil, Switzerland (GRID:grid.416786.a) (ISNI:0000 0004 0587 0574)
2 University of Notre Dame, Department of Biological Sciences, Eck Institute for Global Health, Indiana, USA (GRID:grid.131063.6) (ISNI:0000 0001 2168 0066)
3 University of California, EPPIcenter Research Program, Division of HIV, ID and Global Medicine, Department of Medicine, San Francisco, USA (GRID:grid.266102.1) (ISNI:0000 0001 2297 6811)
4 Swiss Tropical and Public Health Institute, Allschwil, Switzerland (GRID:grid.416786.a) (ISNI:0000 0004 0587 0574); University of Basel, Basel, Switzerland (GRID:grid.6612.3) (ISNI:0000 0004 1937 0642); Ifakara Health Institute, Dar es Salaam, United Republic of Tanzania (GRID:grid.414543.3) (ISNI:0000 0000 9144 642X)
5 Research Triangle Institute (RTI) International, Zanzibar, United Republic of Tanzania (GRID:grid.414543.3)
6 U.S. Centers for Disease Control and Prevention, President’s Malaria Initiative, Dar es Salaam, United Republic of Tanzania (GRID:grid.414543.3)
7 Zanzibar Malaria Elimination Programme, Zanzibar, United Republic of Tanzania (GRID:grid.414543.3)
8 Swiss Tropical and Public Health Institute, Allschwil, Switzerland (GRID:grid.416786.a) (ISNI:0000 0004 0587 0574); University of Basel, Basel, Switzerland (GRID:grid.6612.3) (ISNI:0000 0004 1937 0642)
9 Tulane University, School of Public Health and Tropical Medicine, New Orleans, USA (GRID:grid.265219.b) (ISNI:0000 0001 2217 8588)