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<p>Understanding evolution of human pathogens requires looking beyond the effects of recent interventions. To study malaria parasites prior to widespread drug selection, <i>Plasmodium falciparum</i> 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 <i>gdv1</i> that regulates the rate of parasite sexual conversion required for transmission, and at the unlinked <i>Pfsa1</i> and <i>Pfsa3</i> 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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年1月12日

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  • Alfred Amambua-Ngwa,
  • Mouhamadou Fadel Diop,
  • Christopher J. Drakeley,
  • Umberto d’Alessandro,
  • Dominic P. Kwiatkowski,
  • David J. Conway

摘要

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.