Amplicon Sequencing as a Potential Surveillance Tool for Complexity of Infection and Drug Resistance Markers in Plasmodium falciparum Asymptomatic Infections

Author:

Wamae Kevin1ORCID,Kimenyi Kelvin M12,Osoti Victor1,de Laurent Zaydah R1,Ndwiga Leonard1,Kharabora Oksana3,Hathaway Nicholas J4,Bailey Jeffrey A5,Juliano Jonathan J367,Bejon Philip18,Ochola-Oyier Lynette Isabella1

Affiliation:

1. Kenya Medical Research Institute (KEMRI)–Wellcome Trust Research Programme , Kilifi , Kenya

2. Centre for Biotechnology and Bioinformatics, University of Nairobi , Nairobi , Kenya

3. Division of Infectious Diseases, Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill , Chapel Hill, North Carolina , USA

4. Department of Medicine, University of Massachusetts Medical School , Worcester, Massachusetts , USA

5. Department of Pathology and Laboratory Medicine, Warren Alpert Medical School, Brown University , Providence, Rhode Island , USA

6. Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina , Chapel Hill, North Carolina , USA

7. Curriculum in Genetics and Molecular Biology, School of Medicine, University of North Carolina at Chapel Hill , Chapel Hill, North Carolina , USA

8. Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford , Oxford , United Kingdom

Abstract

Abstract Background Genotyping Plasmodium falciparum subpopulations in malaria infections is an important aspect of malaria molecular epidemiology to understand within-host diversity and the frequency of drug resistance markers. Methods We characterized P. falciparum genetic diversity in asymptomatic infections and subsequent first febrile infections using amplicon sequencing (AmpSeq) of ama1 in Coastal Kenya. We also examined temporal changes in haplotype frequencies of mdr1, a drug-resistant marker. Results We found >60% of the infections were polyclonal (complexity of infection [COI] >1) and there was a reduction in COI over time. Asymptomatic infections had a significantly higher mean COI than febrile infections based on ama1 sequences (2.7 [95% confidence interval {CI}, 2.65–2.77] vs 2.22 [95% CI, 2.17–2.29], respectively). Moreover, an analysis of 30 paired asymptomatic and first febrile infections revealed that many first febrile infections (91%) were due to the presence of new ama1 haplotypes. The mdr1-YY haplotype, associated with chloroquine and amodiaquine resistance, decreased over time, while the NY (wild type) and the NF (modulates response to lumefantrine) haplotypes increased. Conclusions This study emphasizes the utility of AmpSeq in characterizing parasite diversity as it can determine relative proportions of clones and detect minority clones. The usefulness of AmpSeq in antimalarial drug resistance surveillance is also highlighted.

Funder

New Partnership for Africa’s Development Planning and Coordinating Agency

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Immunology and Allergy

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