Sensitive and modular amplicon sequencing of Plasmodium falciparum diversity and resistance for research and public health
journal contribution
posted on 2025-05-22, 02:28authored byAndrés Aranda-Díaz, E Neubauer Vickers, K Murie, B Palmer, N Hathaway, I Gerlovina, S Boene, M García-Ulloa, P Cisteró, T Katairo, FD Semakuba, B Nsengimaana, H Gwarinda, C García-Fernández, W Louie, E Esayas, C Da Silva, D Datta, S Kiyaga, I Wiringilimaana, Sindew Mekasha FELEKESindew Mekasha FELEKE, A Bennett, JL Smith, E Gadisa, JB Parr, MD Conrad, J Raman, S Tukwasibwe, I Ssewanyana, E Rovira-Vallbona, CM Tato, J Briggs, A Mayor, B Greenhouse
Targeted amplicon sequencing is a powerful and efficient tool for interrogating the Plasmodium falciparum genome, generating actionable data from infections to complement traditional malaria epidemiology. For maximum impact, genomic tools should be multi-purpose, robust, sensitive, and reproducible. We developed, characterized, and implemented MAD4HatTeR, an amplicon sequencing panel based on Multiplex Amplicons for Drug, Diagnostic, Diversity, and Differentiation Haplotypes using Targeted Resequencing, along with a bioinformatic pipeline for data analysis. Additionally, we introduce an analytical approach to detect gene duplications and deletions from amplicon sequencing data. Laboratory control and field samples were used to demonstrate the panel’s high sensitivity and robustness. MAD4HatTeR targets 165 highly diverse loci, focusing on multiallelic microhaplotypes, key markers for drug and diagnostic resistance (including duplications and deletions), and CSP and potential vaccine targets. The panel can also detect non-falciparum Plasmodium species. MAD4HatTeR successfully generated data from low-parasite-density dried blood spot and mosquito midgut samples and detected minor alleles at within-sample allele frequencies as low as 1% with high specificity in high-parasite-density dried blood spot samples. Gene deletions and duplications were reliably detected in mono- and polyclonal controls. Data generated by MAD4HatTeR were highly reproducible across multiple laboratories. The successful implementation of MAD4HatTeR in five laboratories, including three in malaria-endemic African countries, showcases its feasibility and reproducibility in diverse settings. MAD4HatTeR is thus a powerful tool for research and a robust resource for malaria public health surveillance and control.
Funding
This work was supported by several grants from the Bill & Melinda Gates Foundation (INV-019032, OPP1132226, INV-037316, INV-024346, INV-031512, INV-003212, INV-024346). This research is also part of the ISGlobal’s Program on the Molecular Mechanisms of Malaria which is partially supported by the Fundación Ramón Areces. We acknowledge support from the grant CEX2023-0001290-S funded by MCIN/AEI/ https://doi.org/10.13039/501100011033, from the Generalitat de Catalunya through the CERCA Program, from the Departament d’Universitats i Recerca de la Generalitat de Catalunya (AGAUR; grant 2017 SGR 664) and from the Ministerio de Ciencia e Innovación (PID2020-118328RB-I00/AEI/https://doi.org/10.13039/501100011033). CISM is supported by the Government of Mozambique and the Spanish Agency for International Development (AECID). The parent study from which the 2017–2018 Ethiopia samples were derived was funded by the Global Fund to Fight AIDS, Tuberculosis, and Malaria through the Ministry of Health - Ethiopia (EPHI5405) and by the Bill & Melinda Gates Foundation through the World Health Organization (OPP1209843). A.A.-D. was supported by the Chan Zuckerberg Biohub Collaborative Postdoctoral fellowship. B.G. was supported by NIH-NIAID K24AI144048. J.B. was supported by NIH-NIAID K23AI166009. J.L.S. was supported by NIH-NIAID 5K01AI153555. J.B.P. was supported by NIH-NIAD R01 AI77791.