Geographical distributions of African malaria vector sibling species and evidence for insecticide resistance. (December 2017)

• Record Type: Journal Article
• Authors: Wiebe, Antoinette; Longbottom, Joshua; Gleave, Katherine; Shearer, Freya; Sinka, Marianne; Massey, N.; Cameron, Ewan; Bhatt, Samir; Gething, Peter; Hemingway, Janet; Smith, David; Coleman, Michael; Moyes, Catherine
• Is Part Of: Malaria journal. Volume 16:Number 1(2017)
• Page Start: 1
• Page End: 10
• Publication Date: 2017-12
• Subjects: Species distribution model -- Maps -- Susceptibility bioassays; Malaria -- Periodicals; 616.9362
• DOI: 10.1186/s12936-017-1734-y
• Languages: English
• ISSNs: 1475-2875

Abstract

Abstract Background Many of the mosquito species responsible for malaria transmission belong to a sibling complex; a taxonomic group of morphologically identical, closely related species. Sibling species often differ in several important factors that have the potential to impact malaria control, including their geographical distribution, resistance to insecticides, biting and resting locations, and host preference. The aim of this study was to define the geographical distributions of dominant malaria vector sibling species in Africa so these distributions can be coupled with data on key factors such as insecticide resistance to aid more focussed, species-selective vector control. Results Within theAnopheles gambiae species complex and theAnopheles funestus subgroup, predicted geographical distributions forAnopheles coluzzii, An. gambiae (as now defined) andAn. funestus (distinct from the subgroup) have been produced for the first time. Improved predicted geographical distributions forAnopheles arabiensis, Anopheles melas andAnopheles merus have been generated based on records that were confirmed using molecular identification methods and a model that addresses issues of sampling bias and past changes to the environment. The data available for insecticide resistance has been evaluated and differences between sibling species are apparent although further analysis is required to elucidate trends in resistance. Conclusions Sibling species display important variability in their geographical distributions and the most important malaria vector sibling species in Africa have been mapped here for the first time. This will allow geographical occurrence data to be coupled with species-specific data on important factors for vector control including insecticide resistance. Species-specific data on insecticide resistance is available for the most important malaria vectors in Africa, namelyAn. arabiensis, An. coluzzii, An. gambiae andAn. funestus . Future work to combine these data with the geographical distributions mapped here will allow more focussed and resource-efficient vector control and provide information to greatly improve and inform existing malaria transmission models.