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Fogang, B.

Publications and source records attributed to Fogang, B..

2 recordsLinked to original sources

Large deletion variants in a Plasmodium falciparum ookinete protein gene and associations with different endemic populations and mosquito vectors

The Plasmodium falciparum PIMMS43 gene encodes an ookinete protein that is important for mosquito infection. Here, large indel variants within the coding sequence are identified, and frequencies in natural infections of humans and mosquitoes investigated. Comparing long-read genome sequences in a small panel of P. falciparum strains and related species revealed a 150 bp deletion in the central part of the gene in several strains including the standard 3D7 reference genome. Mapping of short-read genome sequence data from 524 P. falciparum infections from nine different countries to full-length PIMMS43 showed the 150 bp deletion and an alternative 90 bp deletion to be common structural variants. Across African populations, the 150 bp deletion had a mean allele frequency of 32%, and the 90 bp deletion a mean frequency of 12%, with significant geographical variation. Targeted genotyping of 30 oocysts from naturally infected mosquitoes in Tanzania by nested PCR showed overall deletion variant frequencies similar to those seen in human infections in the same country. Although sample size was limited, a difference in the variant frequencies in oocysts from Anopheles gambiae and Anopheles funestus suggests potential vector-specific selection. The findings highlight the importance of surveying structural genomic variation and its potential role in parasite adaptation. Data summaryThe long-read genome sequence data sources are listed in the Supplementary Information (Supplementary Table 1). The short-read genome sequence data from human infections were extracted as a selected subset of those in the Pf7 release of global data from the MalariaGEN Consortium as described in the Methods. The SNP and indel genotypes derived from each sample of parasites cultured in the laboratory and from natural mosquito infections are given in the Supplementary Information (Supplementary Tables 1 and 3, Supplementary Figure 1). Impact statementThis study identifies large indel polymorphisms in the malaria parasite transmission-stage gene PIMMS43, reflecting substantial structural variation previously overlooked by genome-wide SNP-focused analyses. Using long- and short-read genomic data across diverse samples followed by targeted genotyping, we show that deletion variants are frequent and geographically structured, with initial evidence consistent with potential vector-specific selection. This highlights the importance of incorporating structural variation into population genomic surveillance and studies of parasite adaptation.

genomics↗

Tracking malaria parasite lineages through de novo mutations in highly related Plasmodium falciparum genomes

Where malaria transmission declines, the remaining infections are increasingly low-density and asymptomatic, forming a persistent reservoir that is difficult to track using conventional epidemiological approaches. However, genomic data from such community-level infections remain scarce, limiting the ability to track parasite lineages, detect clonal expansions, and identify persistent chronic infections in pre-elimination settings. Here, 78 single-genotype P. falciparum genome sequences are analysed from community infections within a small area of The Gambia, where malaria transmission has substantially declined over recent decades. Pairwise identity-by-descent (IBD) analysis revealed generally low genetic relatedness among parasites, consistent with ongoing recombination and genetic mixing at the community scale. Nevertheless, eight clusters of near-identical genomes (IBD > 0.9) were identified, enabling the inference of recent de novo mutations that differentiate these genomes. Across these clusters, 43 de novo single-nucleotide polymorphisms and 19 short indels were identified using long-read-derived reference genomes. The observed pattern of mutation in natural infections broadly resembled that previously reported from laboratory mutation-accumulation experiments, including a strong transition bias and enrichment of G:C[->]A:T substitutions. These results demonstrate that combining IBD analysis with de novo mutation detection enables fine-scale resolution of parasite relatedness and recent transmission history. As malaria transmission continues to decline, such approaches may become increasingly valuable for tracking local transmission, identify parasite lineages, and potentially distinguish persistent infections from reintroduction events.

genetics↗