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Geographical distributions of African malaria vector sibling species and evidence for insecticide resistance

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Title: Geographical distributions of African malaria vector sibling species and evidence for insecticide resistance
Authors: Wiebe, A
Longbottom, J
Gleave, K
Shearer, FM
Sinka, ME
Massey, NC
Cameron, E
Bhatt, S
Gething, PW
Hemingway, J
Smith, DL
Coleman, M
Moyes, CL
Item Type: Journal Article
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 the Anopheles gambiae species complex and the Anopheles funestus subgroup, predicted geographical distributions for Anopheles coluzzii, An. gambiae (as now defined) and An. funestus (distinct from the subgroup) have been produced for the first time. Improved predicted geographical distributions for Anopheles arabiensis, Anopheles melas and Anopheles 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, namely An. arabiensis, An. coluzzii, An. gambiae and An. 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.
Issue Date: 20-Feb-2017
Date of Acceptance: 10-Feb-2017
URI: http://hdl.handle.net/10044/1/45715
DOI: https://dx.doi.org/10.1186/s12936-017-1734-y
ISSN: 1475-2875
Journal / Book Title: MALARIA JOURNAL
Volume: 16
Issue: 1
Copyright Statement: © 2017 The Author(s). Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Keywords: Science & Technology
Life Sciences & Biomedicine
Infectious Diseases
Tropical Medicine
Species distribution model
Susceptibility bioassays
1108 Medical Microbiology
Publication Status: Published
Article Number: ARTN 85
Appears in Collections:School of Public Health