Barcoding genetically distinctPlasmodium falciparumstrains for comparative assessment of fitness and antimalarial drug resistance

Abstract

AbstractThe repeated emergence of antimalarial drug resistance inPlasmodium falciparum, including to the current frontline antimalarial artemisinin, is a perennial problem for malaria control. Nextgeneration sequencing has greatly accelerated the identification of polymorphisms in resistance-associated genes, but has also highlighted the need for more sensitive and accurate laboratory tools to profile current and future antimalarials, and to quantify the impact of drug resistance acquisition on parasite fitness. The interplay of fitness and drug response is of fundamental importance in understanding why particular genetic backgrounds are better at driving the evolution of drug resistance in natural populations, but the impact of parasite fitness landscapes on the epidemiology of drug resistance has typically been laborious to accurately quantify in the lab, with assays being limited in accuracy and throughput. Here we present a scalable method to profile fitness and drug response of genetically distinctP. falciparumstrains with well-described sensitivities to several antimalarials. We leverage CRISPR/Cas9 genome-editing and barcode sequencing to track unique barcodes integrated into a non-essential gene (pfrh3). We validate this approach in multiplex competitive growth assays of three strains with distinct geographical origins. Furthermore, we demonstrate that this method can be a powerful approach for tracking artemisinin response as it can identify an artemisinin resistant strain within a mix of multiple parasite lines, suggesting an approach for scaling the laborious ring-stage survival assay (RSA) across libraries of barcoded parasite lines. Overall, we present a novel high-throughput method for multiplexed competitive growth assays to evaluate parasite fitness and drug response