High throughput resistance profiling of Plasmodium falciparum infections based on custom dual indexing and Illumina next generation sequencing-technology

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Sidsel Nag
Marlene D. Dalgaard
Poul-Erik Kofoed
Johan Ursing
Marina Crespo
Lee O’Brien Andersen
Frank Møller Aarestrup
Ole Lund
Michael Alifrangis
机构
[1] University of Copenhagen,Centre for Medical Parasitology, Department of International Health, Immunology and Microbiology
[2] Copenhagen University Hospital,Department of Infectious Diseases
[3] Technical University of Denmark,Department of Systems Biology
[4] University of Southern Denmark,Department of Paediatrics, Kolding Hospital
[5] Bandim Health Project,Department of Microbiology, Tumor and Cell Biology
[6] Karolinska Institutet,Department of Microbiology and Infection Control
[7] Statens Serum Institut,National Food Institute
[8] Technical University of Denmark,undefined
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Genetic polymorphisms in P. falciparum can be used to indicate the parasite’s susceptibility to antimalarial drugs as well as its geographical origin. Both of these factors are key to monitoring development and spread of antimalarial drug resistance. In this study, we combine multiplex PCR, custom designed dual indexing and Miseq sequencing for high throughput SNP-profiling of 457 malaria infections from Guinea-Bissau, at the cost of 10 USD per sample. By amplifying and sequencing 15 genetic fragments, we cover 20 resistance-conferring SNPs occurring in pfcrt, pfmdr1, pfdhfr, pfdhps, as well as the entire length of pfK13, and the mitochondrial barcode for parasite origin. SNPs of interest were sequenced with an average depth of 2,043 reads, and bases were called for the various SNP-positions with a p-value below 0.05, for 89.8–100% of samples. The SNP data indicates that artemisinin resistance-conferring SNPs in pfK13 are absent from the studied area of Guinea-Bissau, while the pfmdr1 86 N allele is found at a high prevalence. The mitochondrial barcodes are unanimous and accommodate a West African origin of the parasites. With this method, very reliable high throughput surveillance of antimalarial drug resistance becomes more affordable than ever before.
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