High connectivity and low differentiation of Plasmodium falciparum parasite populations in a setting with high seasonal migration

Seasonal movement of less-immune people from low- to high- transmission regions increase malaria risk and may introduce parasite strains to both areas. This study examined Plasmodium falciparum genetic diversity and connectivity between low-transmission highlands and endemic lowlands in Ethiopia to assess the contribution of seasonal agricultural migration in sustaining transmission. P. falciparum qPCR-positive dried blood spots collected from highland health facilities and lowland agricultural worksites were sequenced using multiplexed amplicon sequencing. Complexity of infection (COI) and infection pairwise relatedness were estimated and used for clustering analysis. Lowland populations (seasonal workers and residents) had higher COI and polyclonal infection rates (mean COI 2.62, 62%, n = 581) than highland residents (mean COI 2.00, 40%, n = 599). Similar expected heterozygosity (He ≈ 0.4) was observed, and P. falciparum infections from worksites showed high genetic connectivity between highland and lowland populations, with extensive parasite sharing, including 27 related clusters in highland cases and 10 in seasonal workers. Integrating parasite genomic data with epidemiological information revealed strong connectivity and low genetic differentiation between these regions linked by seasonal migration. These findings highlight how agricultural mobility likely drives parasite diversity and gene flow, implicating its role in sustaining malaria transmission.

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Publication Details

Journal
Scientific Reports
Published
2025-11-26
DOI
https://doi.org/10.1038/s41598-025-29271-0
Primary Topic
Malaria Research and Control
Type
article
Field-Weighted Citation Impact
0.00

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article

High connectivity and low differentiation of Plasmodium falciparum parasite populations in a setting with high seasonal migration

Andrés Aranda-Díaz, Temesgen Ashine, Endashaw Esayas, William Louie et al.
Scientific Reports
Malaria Research and Control
article

High connectivity and low differentiation of Plasmodium falciparum parasite populations in a setting with high seasonal migration

Andrés Aranda-Díaz, Temesgen Ashine, Endashaw Esayas, William Louie, Faith De Amaral, Fikregabrail Aberra Kassa, Henry Ntuku, Bryan Greenhouse, Maxwell Murphy, Lemu Golassa, Muluken Assefa, Adam Bennett, Asefaw Getachew, Isobel Routledge, Jennifer L. Smith, Endalamaw Gadisa, Tedros Nigusse, Nigatu Negash Demeke
article en

Abstract

Seasonal movement of less-immune people from low- to high- transmission regions increase malaria risk and may introduce parasite strains to both areas. This study examined Plasmodium falciparum genetic diversity and connectivity between low-transmission highlands and endemic lowlands in Ethiopia to assess the contribution of seasonal agricultural migration in sustaining transmission. P. falciparum qPCR-positive dried blood spots collected from highland health facilities and lowland agricultural worksites were sequenced using multiplexed amplicon sequencing. Complexity of infection (COI) and infection pairwise relatedness were estimated and used for clustering analysis. Lowland populations (seasonal workers and residents) had higher COI and polyclonal infection rates (mean COI 2.62, 62%, n = 581) than highland residents (mean COI 2.00, 40%, n = 599). Similar expected heterozygosity (He ≈ 0.4) was observed, and P. falciparum infections from worksites showed high genetic connectivity between highland and lowland populations, with extensive parasite sharing, including 27 related clusters in highland cases and 10 in seasonal workers. Integrating parasite genomic data with epidemiological information revealed strong connectivity and low genetic differentiation between these regions linked by seasonal migration. These findings highlight how agricultural mobility likely drives parasite diversity and gene flow, implicating its role in sustaining malaria transmission.

Scientific ReportsVol. 15(1)
Program for Appropriate Technology in Health (US), University of California, San Francisco (US), Armauer Hansen Research Institute (ET), Addis Ababa University (ET), Seattle University (US)
Bill and Melinda Gates Foundation, National Institutes of Health, University of California, San Francisco, National Institute of Allergy and Infectious Diseases
Openalex Percentile: Top 53%
Malaria Research and Control
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