Evidence map›Paper›PMID 42709889›Full record

ArticlePLoS neglected tropical diseases2026

Mitochondrial phylogeography and insecticide resistance of Aedes aegypti in Kenya.

Brenda Musimbi, Sandy Hickson, Trizah K Milugo, Eleanor Robinson-Rice, Josephine Osalla, Gilbert Rotich, Frank Jiggins, David P Tchouassi

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Brenda MusimbiInternational Centre of Insect Physiology and Ecology, Nairobi, Kenya.
Sandy HicksonDepartment of Genetics, University of Cambridge, Cambridge, United Kingdom.
Trizah K MilugoInternational Centre of Insect Physiology and Ecology, Nairobi, Kenya.
Eleanor Robinson-RiceCambridge Biosecurity Hub, Cambridge, United Kingdom.
Josephine OsallaInternational Centre of Insect Physiology and Ecology, Nairobi, Kenya.
Gilbert RotichInternational Centre of Insect Physiology and Ecology, Nairobi, Kenya.
Frank JigginsDepartment of Genetics, University of Cambridge, Cambridge, United Kingdom.
David P TchouassiInternational Centre of Insect Physiology and Ecology, Nairobi, Kenya.ORCID https://orcid.org/0000-0001-9910-4704

Funding

Wellcome Trust
6 · The paper itself

Abstract

Aedes aegypti is the primary vector of arboviruses such as dengue, yellow fever, Zika, and chikungunya. Here, we investigate the mitochondrial DNA (mtDNA) structure and insecticide resistance of Ae. aegypti populations across Kenya. Using 175 newly sequenced Kenyan COI mtDNA fragments, along with global reference sequences, we assess maternal ancestry and phylogeographic structure. Genetic structure across Kenya was not well explained by isolation-by-distance alone, with several populations deviating from this pattern. Nairobi and Mombasa, separated by >400 km, showed greater maternal genetic similarity than expected under isolation-by-distance, a pattern that may reflect gene flow along transportation corridors. Conversely, Ukunda, around 30 km from Mombasa, was comparatively divergent, and populations in Western Kenya were genetically distinct. We found no evidence of non-African ancestry in mtDNA from Rabai or Mombasa despite its previous detection in the nuclear genomes of these populations. Instead, a subset of samples from Marigat and Ukunda showed the closest maternal affinity to West African and non-African lineages. Insecticide assays revealed high susceptibility to bendiocarb, deltamethrin, and fenitrothion across populations, but substantial resistance to permethrin, particularly at coastal sites. Genotyping of the kdr 1534C allele showed the highest resistance allele frequencies in coastal populations, broadly consistent with the phenotypic patterns. This variation in resistance was not associated with mitochondrial ancestry, suggesting that local selection pressures rather than shared maternal ancestry may be shaping resistance. Together, these findings describe the maternal genetic structure of Ae. aegypti in Kenya and show that localised resistance evolution, in the absence of organised Ae. aegypti-targeted control, underscores the need to monitor resistance mechanisms.

Indexed as

AedesDNA, MitochondrialInsecticide ResistanceInsecticidesAnimalsFemaleGenetic VariationKenyaPhylogeographySequence Analysis, DNADNA, MitochondrialInsecticides

Identifiers

PMID42709889
PMCPMC13581198

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.