Characterization of Within-Host <em>Plasmodium falciparum</em> Diversity Using Next-Generation Sequence Data

<div><p>Our understanding of the composition of multi-clonal malarial infections and the epidemiological factors which shape their diversity remain poorly understood. Traditionally within-host diversity has been defined in terms of the multiplicity of infection (MOI) derived by PCR-based genotyping. Massively parallel, single molecule sequencing technologies now enable individual read counts to be derived on genome-wide datasets facilitating the development of new statistical approaches to describe within-host diversity. In this class of measures the <em>F_WS</em> metric characterizes within-host diversity and its relationship to population level diversity. Utilizing <em>P. falciparum</em> field isolates from patients in West Africa we here explore the relationship between the traditional MOI and <em>F_WS</em> approaches. <em>F_WS</em> statistics were derived from read count data at 86,158 SNPs in 64 samples sequenced on the Illumina GA platform. MOI estimates were derived by PCR at the <em>msp-1</em> and <em>-2</em> loci. Significant correlations were observed between the two measures, particularly with the <em>msp-1</em> locus (<em>P</em> = 5.92×10⁻⁵). The <em>F_WS</em> metric should be more robust than the PCR-based approach owing to reduced sensitivity to potential locus-specific artifacts. Furthermore the <em>F_WS</em> metric captures information on a range of parameters which influence out-crossing risk including the number of clones (MOI), their relative proportions and genetic divergence. This approach should provide novel insights into the factors which correlate with, and shape within-host diversity.</p>