Major features of parasite adaptation revealed by genomes of Plasmodium falciparum population samples archived for over 50 years

Understanding evolution of human pathogens requires looking beyond the effects of recent interventions. To study malaria parasites prior to widespread drug selection, Plasmodium falciparum genomes were sequenced from the oldest population-based set of archived research samples yet identified, placental blood collected in the Gambia between 1966 and 1971. High-quality data were obtained from 54 infected samples, showing that genomic complexity within infections was high, most infections were genetically unrelated, and no drug resistance alleles were detected. Strong signatures of positive selection are clearly seen at multiple loci throughout the genome, most of which encode surface proteins that bind erythrocytes and are targets of acquired antibody responses. Comparison of population samples obtained over a following period of almost 50 years revealed major directional allele frequency changes at several loci apart from drug resistance genes. Exceptional changes over this time are seen at gdv1 that regulates the rate of parasite sexual conversion required for transmission, and at the unlinked Pfsa1 and Pfsa3 loci previously associated with infection of individuals with sickle-cell trait. Other affected loci encode surface and transporter proteins warranting targeted functional analyses. This identification of key long-term adaptations is important for understanding and managing future evolution of malaria parasites.

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Publication Details

Journal
Communications Biology
Published
2026-01-12
DOI
https://doi.org/10.1038/s42003-025-09460-3
Citations
1
Primary Topic
Malaria Research and Control
Type
article
Field-Weighted Citation Impact
41.85

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article

Major features of parasite adaptation revealed by genomes of Plasmodium falciparum population samples archived for over 50 years

Alfred Amambua‐Ngwa, Christopher J. Drakeley, Mouhamadou Fadel Diop, Dominic P. Kwiatkowski et al.
1 citations
Communications Biology
Malaria Research and Control
41.85
article

Major features of parasite adaptation revealed by genomes of Plasmodium falciparum population samples archived for over 50 years

Alfred Amambua‐Ngwa, Christopher J. Drakeley, Mouhamadou Fadel Diop, Dominic P. Kwiatkowski, Umberto d’Alessandro, David J. Conway
article en
1 citations

Abstract

Understanding evolution of human pathogens requires looking beyond the effects of recent interventions. To study malaria parasites prior to widespread drug selection, Plasmodium falciparum genomes were sequenced from the oldest population-based set of archived research samples yet identified, placental blood collected in the Gambia between 1966 and 1971. High-quality data were obtained from 54 infected samples, showing that genomic complexity within infections was high, most infections were genetically unrelated, and no drug resistance alleles were detected. Strong signatures of positive selection are clearly seen at multiple loci throughout the genome, most of which encode surface proteins that bind erythrocytes and are targets of acquired antibody responses. Comparison of population samples obtained over a following period of almost 50 years revealed major directional allele frequency changes at several loci apart from drug resistance genes. Exceptional changes over this time are seen at gdv1 that regulates the rate of parasite sexual conversion required for transmission, and at the unlinked Pfsa1 and Pfsa3 loci previously associated with infection of individuals with sickle-cell trait. Other affected loci encode surface and transporter proteins warranting targeted functional analyses. This identification of key long-term adaptations is important for understanding and managing future evolution of malaria parasites.

Communications BiologyVol. 9(1)
Wellcome Sanger Institute (GB), London School of Hygiene & Tropical Medicine (GB), MRC Unit the Gambia (GM)
London School of Hygiene and Tropical Medicine, Medical Research Council, European and Developing Countries Clinical Trials Partnership
Good health and well-being
Openalex Percentile: Top 2%
Malaria Research and Control
41.85
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