bioRxivGenomicsPreprint
A Plasmodium falciparum Pangenome Resource to Drive Structural Variant Discovery and to assist Malaria Control
Nina BillowsiD, Joseph ThorpeiD, Susana G. CampinoiD, Taane Gregory ClarkiD
Abstract
Plasmodium falciparum, the deadliest causative agent of malaria, harbours extensive structural variation that underlies key biological processes including drug resistance and diagnostic evasion. Here, we present PfPan, a P. falciparum pangenome constructed from 13 geographically diverse high-quality reference genomes using Minigraph-Cactus, adding 4.77 Mb of sequence beyond the 3D7 linear reference. We identify over 5,000 structural variants (SVs) across the reference genomes and demonstrate improved genotyping using the vg toolkit compared to linear reference-based approaches, with comparable performance for small variant discovery. Benchmarking against assembly-derived truth sets confirms pangenome superiority for structural variant detection, particularly at complex and hypervariable loci. Applying PfPan to 878 globally sampled P. falciparum whole-genome sequences, we characterise biologically and clinically relevant SVs, including the complex drug resistance-linked gch1 locus, and explore deletions upstream of the coding sequence for the diagnostic target HRP2. PfPan provides a foundational resource for mitigating reference bias in P. falciparum genomic surveillance and establishes a framework for improved detection of variants associated with drug resistance and malaria control in monoclonal P. falciparum samples that have not undergone selective whole-genome amplification.
- organism: plant (other)
- assay: whole-genome sequencing
- research focus: variant calling
- research focus: variant effect prediction
- research focus: drug response / drug discovery
- approach: deep learning
- approach: statistical model
- Citations
- 0
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