bioRxivCell BiologyPreprint
Mitochondrial heteroplasmy is responsible for Atovaquone drug resistance in Plasmodium falciparum
Sasha Siegel, Andrea Rivero, Swamy R. Adapa, ChengQi Wang, Roman ManetschiD, Rays H.Y. Jiang, Dennis E. KyleiD
Abstract
Malaria is the most significant parasitic disease affecting humans, with 212 million cases and 429,000 deaths in 2 0151, and resistance to existing drugs endangers the global malaria elimination campaign. Atovaquone (ATO) is a safe and potent antimalarial drug that acts on cytochrome b (cyt. b) of the mitochondrial electron transport chain (mtETC) in Plasmodium falciparum, yet treatment failures result in resistance-conferring SNPs in cyt. b. Herein we report that rather than the expected de novo selection of resistance, previously unknown mitochondrial diversity is the genetic mechanism responsible for resistance to ATO, and potentially other cyt. b targeted drugs. We found that P. falciparum harbors cryptic cyt. b. Y268S alleles in the multicopy ([~]22 copies) mitochondrial genome prior to drug treatment, a phenomenon known as mitochondrial heteroplasmy. Parasites with cryptic Y268S alleles readily evolve into highly resistant parasites with >95% Y268S copies under in vitro ATO selection. Further we uncovered high mitochondrial diversity in a global collection of 1279 genomes in which heteroplasmic polymorphisms were >3-fold more prevalent than homoplasmic SNPs. Moreover, significantly higher mitochondrial genome copy number was found in Asia (e.g., Cambodia) versus Africa (e.g., Ghana). Similarly, ATO drug selections in vitro induced >3-fold mitochondrial copy number increases in ATO resistant lines. Hidden mitochondrial diversity is a previously unknown mechanism of antimalarial drug resistance and characterization of mitochondrial heteroplasmy will be of paramount importance in combatting resistance to antimalarials targeting the electron transport chain.
- organism: plant (other)
- assay: whole-genome sequencing
- research focus: drug response / drug discovery
- approach: statistical model
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