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Drug-Resistance and population structure of plasmodium falciparum across the democratic Republic of Congo using high-Throughput molecular inversion probes

  • Ozkan Aydemir
  • , Mark Janko
  • , Nick J. Hathaway
  • , Robert Verity
  • , Melchior Kashamuka Mwandagalirwa
  • , Antoinette K. Tshefu
  • , Sofonias K. Tessema
  • , Patrick W. Marsh
  • , Alice Tran
  • , Thomas Reimonn
  • , Azra C. Ghani
  • , Anita Ghansah
  • , Jonathan J. Juliano
  • , Bryan R. Greenhouse
  • , Michael Emch
  • , Steven R. Meshnick
  • , Jeffrey A. Bailey
  • University of Massachusetts Boston
  • University of North Carolina at Chapel Hill
  • Imperial College London
  • Université de Kinshasa
  • University of California San Francisco
  • University of North Carolina
  • University of Massachusetts Medical School

Research output: Contribution to journalArticlepeer-review

78 Citations (Scopus)

Abstract

A better understanding of the drivers of the spread of malaria parasites and drug resistance across space and time is needed. These drivers can be elucidated using genetic tools. Here, a novel molecular inversion probe (MIP) panel targeting all major drug-resistance mutations and a set of microsatellites was used to genotype Plasmodium falciparum infections of 552 children from the 2013–2014 Demographic and Health Survey conducted in the Democratic Republic of the Congo (DRC). Microsatellite-based analysis of population structure suggests that parasites within the DRC form a homogeneous population. In contrast, sulfadoxine-resistance markers in dihydropteroate synthase show marked spatial structure with ongoing spread of double and triple mutants compared with 2007. These findings suggest that parasites in the DRC remain panmictic despite rapidly spreading antimalarial-resistance mutations. Moreover, highly multiplexed targeted sequencing using MIPs emerges as a cost-effective method for elucidating pathogen genetics in complex infections in large cohorts.

Original languageEnglish
Pages (from-to)946-955
Number of pages10
JournalJournal of Infectious Diseases
Volume218
Issue number6
DOIs
Publication statusPublished - 14 Aug 2018

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

Keywords

  • Democratic Republic of the Congo
  • Drug resistance
  • Malaria
  • Molecular inversion probe
  • Targeted sequencing

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