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Composition and genetic diversity of mosquitoes (Diptera: Culicidae) on Islands and mainland shores of Kenya's lakes Victoria and baringo

  • Yvonne Ukamaka Ajamma
  • , Jandouwe Villinger
  • , David Omondi
  • , Daisy Salifu
  • , Thomas Ogao Onchuru
  • , Laban Njoroge
  • , Anne W.T. Muigai
  • , Daniel K. Masiga
  • International Centre of Insect Physiology and Ecology Nairobi
  • Jomo Kenyatta University of Agriculture and Technology
  • Egerton University
  • University of the Western Cape
  • Max Planck Institute for Chemical Ecology
  • Johannes Gutenberg University Mainz
  • National Museums of Kenya

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)

Abstract

The Lake Baringo and Lake Victoria regions of Kenya are associated with high seroprevalence of mosquitotransmitted arboviruses. However, molecular identification of potential mosquito vector species, including morphologically identified ones, remains scarce. To estimate the diversity, abundance, and distribution of mosquito vectors on the mainland shores and adjacent inhabited islands in these regions, we collected and morphologically identified adult and immature mosquitoes and obtained the corresponding sequence variation at cytochrome c oxidase 1 (COI) and internal transcribed spacer region 2 (ITS2) gene regions. A total of 63 species (including five subspecies) were collected from both study areas, 47 of which have previously been implicated as disease vectors. Fourteen species were found only on island sites, which are rarely included in mosquito diversity surveys. We collected more mosquitoes, yet with lower species composition, at Lake Baringo (40,229 mosquitoes, 32 species) than at Lake Victoria (22,393 mosquitoes, 54 species). Phylogenetic analysis of COI gene sequences revealed Culex perexiguus and Cx. tenagius that could not be distinguished morphologically. Most Culex species clustered into a heterogeneous clade with closely related sequences, while Culex pipiens clustered into two distinct COI and ITS2 clades. These data suggest limitations in current morphological identification keys. This is the first DNA barcode report of Kenyan mosquitoes. To improve mosquito species identification, morphological identifications should be supported by their molecular data, while diversity surveys should target both adults and immatures. The diversity of native mosquito disease vectors identified in this study impacts disease transmission risks to humans and livestock.
Original languageEnglish
Pages (from-to)1348-1363
Number of pages16
JournalJournal of Medical Entomology
Volume53
Issue number6
DOIs
Publication statusPublished - 1 Nov 2016
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Anopheles
  • Culicine
  • Genetics
  • Mosquito-borne disease
  • Vector ecology

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