Genomic surveillance reveals geographical heterogeneity and differences in known and novel insecticide resistance mechanisms in Anopheles arabiensis across Kenya

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dc.contributor.author Brian Polo, Kelly L. Bennett, Sonia Barasa, Jon Brenas, Silas Agumba, Joseph Mwangangi, Lucy Wachira, Stanley Kitur, Damaris Matoke-Muhia, David M. Mburu, Edith Ramaita, Elijah O. Juma, Charles Mbogo, Eric Ochomo, Chris S. Clarkson, Alistair Miles & Luna Kamau
dc.date.accessioned 2026-03-31T11:28:55Z
dc.date.available 2026-03-31T11:28:55Z
dc.date.issued 2025-07
dc.identifier.uri http://repository.kemri.go.ke:8080/xmlui/handle/123456789/1819
dc.description.abstract Background Insecticide resistance in disease vectors poses a significant threat to the control of transmission globally. In Anopheles mosquitoes, resistance has jeopardized gains made in malaria control and led to the resurgence of cases. Although Anopheles arabiensis is a major malaria vector, little is known about its genetic diversity and insecticide resistance mechanisms across geographical space. There is an urgent need to incorporate genomics in resistance monitoring to allow preemptive detection of adaptive alleles. Methods We analyzed whole-genome data from 498 An. arabiensis specimens collected across five regions in Kenya. Population structure was assessed and both known and novel resistance mechanisms were investigated through SNP and CNV frequency analysis, genome-wide selection scans and haplotype clustering. Results Analyses of whole-genome data revealed geographical population structure between the northwestern region and central coastal Kenya, which was likely influenced by the Great Rift Valley. Distinct geographical differences in insecticide resistance profiles were observed across Kenya, reflecting differences in ecology, land use and selection pressure. For instance, in central Kenya, copy number variants at the Cyp6aa/p gene cluster and carboxylesterase genes associated with metabolic resistance to pyrethroids and organophosphates are fixed. In contrast, northwestern Kenya had mutations associated with both the target site and metabolic resistance to pyrethroids and DDT at high frequencies. Vgsc-L995F mutations occurred at frequencies of up to 44%, and duplications of Cyp9k1 occurred at frequencies of up to 66%. Genome-wide selection scans identified novel candidates under selection in central Kenya, including the Keap1 gene, which is involved in the regulation of multiple detoxification genes, likely due to high insecticide pressure in the region. en_US
dc.language.iso en en_US
dc.publisher BMC Genomics en_US
dc.title Genomic surveillance reveals geographical heterogeneity and differences in known and novel insecticide resistance mechanisms in Anopheles arabiensis across Kenya en_US
dc.type Article en_US


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