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Genetic evidence of cross-border Plasmodium vivax spread in a malaria pre-elimination region of South Asia

Rai, A.; Sutanto, E.; Ghimire, P.; Wangchuk, S.; Drukpa, T.; Alam, M. S.; Ghanchi, N.; Rahim, A. G.; Rumaseb, A.; Trimarsanto, H.; Hoon, K. S.; Adhikari, N.; Adhikari, S.; Banjara, M. R.; Rijal, K. R.; Nepal, R.; Regmi, R.; Qurashi, B.; Zaidi, S.-e.-Z.; Beg, M. A.; Ley, B.; Price, R. N.; Thriemer, K.; Auburn, S.

2026-02-04 infectious diseases
10.64898/2026.02.02.26345415 medRxiv
Show abstract

BackgroundPlasmodium vivax is the predominant cause of malaria in South Asia. P. vivax cases have fallen over the past decade, but cross-border transmission remains a major challenge to elimination. Genetic data can generate valuable insights into transmission; however, until now, only low-resolution data have been available from Nepal, Bhutan and Bangladesh. We piloted high-resolution genotyping using a new microhaplotype (multiallelic) assay to monitor P. vivax transmission across borders. MethodsGenotyping was conducted using the 93-microhaplotype vivaxGEN panel on P. vivax parasites collected from patients enrolled in clinical trials in Bangladesh, Bhutan, and Nepal between 2013 and 2023. These data were compared with open-access microhaplotype and genomic data derived from Afghanistan, India, and Pakistan between 2014 and 2024. Polyclonality and relatedness (identity by descent (IBD)) were determined within and between countries. ResultsHigh-quality genotyping data were generated for Nepal (n = 19), Bhutan (n = 27), and Bangladesh (n = 35); comparative data were sourced from Afghanistan (n = 159), India (n = 24), and Pakistan (n = 213). Overall, 29.6% (47/159) of isolates from Afghanistan and 20.2% (43/213) from Pakistan had polyclonal infections, whereas all parasites from Bhutan, Nepal and Bangladesh were monoclonal, suggesting lower superinfection. Country-wide IBD analyses revealed three genetic clusters partitioning Bangladesh and Bhutan (partial) from the remaining countries. There were two sub-populations in Bhutan, which separated local and cross-border imported cases. ConclusionsOur results highlight the use of regional high-resolution genetic data to enhance monitoring of transmission intensity and cross-border importations.

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