Continental-scale genomic surveillance of Plasmodium falciparum malaria with rapid nanopore sequencing
Mulenga Mwenda, Karolina Mosler, Bernd Bohmeier, Miriam Chomba, Welmoed Van Loon, Brenda Mambwe, Amy Gaye, Adedolapo Olorunfemi, Salma Suliman, Nassandba Julien Yanogo, Djiby Sow, Bassirou Ngom, Oumou Äıcha Zëına Zoure, Yssimini Nadege Guillene Tibiri, Fiyinfoluwa Ojeniyi, Arsène Zongo, Etilé A. Anoh, Vincent Achi, Carol Chiyesu, Sheila Otieno, Bixa Ogola, Moussa Niangaly, View ORCID ProfileManuela Carrasquilla, Dagaga Kenea Goboto, Torsten Feldt, Tafese Beyene Tufa, Rafael Oliveira, Emma Schallenberg, Yuhana Sogoba, Christina Ntalla, Oumarou Ouedraogo, Kephas Otieno, Oluyinka Opaleye, Adekunle Olowe, Marley Gibbons, Chris Drakeley, Grit Schubert, View ORCID ProfileFrank P. Mockenhaupt, Silvia Portugal, Awa B. Deme, Issiaka Soulama, Daouda Ndiaye, Olusola Ojurongbe, Simon Kariuki, Ya Ping Shi, Jonathan S. Schultz, Moonga Hawela, Daniel J. Bridges, Jason A. Hendry
Date:
2025-07
Abstract:
In sub-Saharan Africa, continental-scale genomic surveillance of Plasmodium falciparum malaria is needed to track the spread of antimalarial drug resistance and diagnostic test evasion, as well as to monitor parasite evolutionary responses to vaccine rollout. Yet implementation of malaria genomic surveillance at a continental-scale is hindered by resource constraints, the vastness of the continent, and the lack of sequencing protocols suitable for most local laboratories. To address this, we developed an approach to enable a decentralized scale-up of P. falciparum genomic surveillance and established it in six African countries in one year, locally sequencing 1,065 samples. The approach includes a rapid (∼5 hours) and cost-efficient (<$25 USD/sample) nanopore sequencing protocol that provides surveillance of a panel of drug resistance-associated genes, hrp2/3 gene deletions, the vaccine target csp, and the highly diverse gene ama1. We coupled this to a bioinformatics dashboard that runs offline on a laptop and displays mapping and variant calling results in real-time. We demonstrate robust sequencing coverage across parasitemia levels and laboratories, accurate detection of hrp2/3 deletions in field samples and accurate identification of antimalarial drug resistance markers. Our approach will accelerate genomic surveillance of P. falciparum malaria across sub-Saharan Africa at a time of urgent need.
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