Partner study description
Microsatellite analysis has previously demonstrated that Plasmodium falciparum populations on the north coast of PNG are organised into distinct subpopulations. If this pattern is observed throughout PNG, maps of population structure may guide malaria control programmes by identifying isolated populations and major routes of transmission. Moreover, the data will provide a framework upon which the origins of imported infections and outbreaks in non-endemic areas can be determined. In this first stage of a much larger study, we have two main objectives: (i) to investigate the population genomics of Plasmodium falciparum in PNG and (ii) to develop SNP markers for defining the population structure of P. falciparum in PNG on a fine scale. Where samples were found to contain Plasmodium vivax data, for example due to mixed infection, this data was contributed to the P. vivax Genome Variation project.
Publications
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Global diversity and balancing selection of 23 leading Plasmodium falciparum candidate vaccine antigens
Naung et alPLoS Computational Biology, 2022; 18(2) e1009801
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Protective Immunity against Severe Malaria in Children Is Associated with a Limited Repertoire of Antibodies to Conserved PfEMP1 Variants
Tessema et alCell Host & Microbe, 2019; 26(5) 579-590.e5
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An open dataset of Plasmodium falciparum genome variation in 7,000 worldwide samples
MalariaGEN et. alWellcome Open Research, 2021; 6 42
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Emergence of artemisinin-resistant Plasmodium falciparum with kelch13 C580Y mutations on the island of New Guinea
Miotto et alPLoS Pathogens, 2020; 16(12) e1009133
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Antibodies to Intercellular Adhesion Molecule 1-Binding Plasmodium falciparum Erythrocyte Membrane Protein 1-DBLbeta Are Biomarkers of Protective Immunity to Malaria in a Cohort of Young Children from Papua New Guinea
Tessema et alInfection and Immunity, 2018; 86 e00485-17
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Genomic analysis of local variation and recent evolution in Plasmodium vivax
Pearson et alNature Genetics, 2016; 48 959-964
Partner study contact
People