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The impact of antimalarial resistance on the genetic structure of Plasmodium falciparum in the DRC

  • Robert Verity
  • , Ozkan Aydemir
  • , Nicholas F. Brazeau
  • , Oliver J. Watson
  • , Nicholas J. Hathaway
  • , Melchior Kashamuka Mwandagalirwa
  • , Patrick W. Marsh
  • , Kyaw Thwai
  • , Travis Fulton
  • , Madeline Denton
  • , Andrew P. Morgan
  • , Jonathan B. Parr
  • , Patrick K. Tumwebaze
  • , Melissa Conrad
  • , Philip J. Rosenthal
  • , Deus S. Ishengoma
  • , Jeremiah Ngondi
  • , Julie Gutman
  • , Modest Mulenga
  • , Douglas E. Norris
  • William J. Moss, Benedicta A. Mensah, James L. Myers-Hansen, Anita Ghansah, Antoinette K. Tshefu, Azra C. Ghani, Steven R. Meshnick, Jeffrey A. Bailey, Jonathan J. Juliano
  • Imperial College London
  • Brown University
  • University of North Carolina
  • University of Massachusetts Medical School
  • Hôpital Général Provincial de Référence de Kinshasa
  • University of North Carolina at Chapel Hill
  • Infectious Diseases Research Collaboration
  • University of California at San Francisco
  • National Institute for Medical Research Tanzania
  • RTI International
  • Centers for Disease Control and Prevention
  • Tropical Diseases Research Center
  • Johns Hopkins Bloomberg School of Public Health
  • University of Ghana

Research output: Contribution to journalArticlepeer-review

65 Citations (Scopus)

Abstract

The Democratic Republic of the Congo (DRC) harbors 11% of global malaria cases, yet little is known about the spatial and genetic structure of the parasite population in that country. We sequence 2537 Plasmodium falciparum infections, including a nationally representative population sample from DRC and samples from surrounding countries, using molecular inversion probes - a high-throughput genotyping tool. We identify an east-west divide in haplotypes known to confer resistance to chloroquine and sulfadoxine-pyrimethamine. Furthermore, we identify highly related parasites over large geographic distances, indicative of gene flow and migration. Our results are consistent with a background of isolation by distance combined with the effects of selection for antimalarial drug resistance. This study provides a high-resolution view of parasite genetic structure across a large country in Africa and provides a baseline to study how implementation programs may impact parasite populations.

Original languageEnglish
Article number2107
JournalNature Communications
Volume11
Issue number1
DOIs
Publication statusPublished - 1 Dec 2020
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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