1. Genetic diversity of the African malaria vector Anopheles gambiae
- Author
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Matthew W. Hahn, Alison T. Isaacs, Samantha M. O’Loughlin, Tiago Antao, Austin Burt, Mara K. N. Lawniczak, Dominic P. Kwiatkowski, Christina M. Bergey, Michelle M. Riehle, Giordano Bottà, Boubacar Coulibaly, Martin J. Donnelly, Joao Dinis, Alessandra della Torre, Kirk A. Rockett, Krzysztof Kozak, Andrew D. Kern, Christina Hubbart, Nohal Elissa, Kate Rowlands, Bradley J. White, Eleanor Drury, Rachel Giacomantonio, Craig S. Wilding, Ian J. Wright, Kenneth D. Vernick, Michael C. Fontaine, Diego Ayala, Alistair Miles, Kyanne R. Rohatgi, Daniel Mead, Arlete D. Troco, Philip Bejon, Jim Stalker, Janet Midega, Nicholas J. Harding, Abdoulaye Diabaté, Nora J. Besansky, Henry D. Mawejje, Cinzia Malangone, Daniel R. Schrider, Paul Vauterin, H. Charles J. Godfray, Charles M. Mbogo, Igor V. Sharakhov, Anna E. Jeffreys, Seth Redmond, João Pinto, Dushyanth Jyothi, Chris S Clarkson, Victoria Cornelius, Krzysztof Kluczynski, Carlo Costantini, Lee Hart, Richard D. Pearson, Daniel E. Neafsey, Christa Henrichs, Bronwyn MacInnis, David Weetman, Beniamino Caputo, Ben Jeffery, The Royal Society, Bill & Melinda Gates Foundation, Silicon Valley Community Foundation, Medical Research Council (MRC), Diversity, ecology, evolution & Adaptation of arthropod vectors (MIVEGEC-DEEVA), Evolution des Systèmes Vectoriels (ESV), Maladies infectieuses et vecteurs : écologie, génétique, évolution et contrôle (MIVEGEC), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Maladies infectieuses et vecteurs : écologie, génétique, évolution et contrôle (MIVEGEC), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Groningen Institute for Evolutionary Life Sciences [Groningen] (GELIFES), University of Groningen [Groningen], and Fontaine lab
- Subjects
Male ,0106 biological sciences ,0301 basic medicine ,Mosquito Control ,POSITIVE SELECTION ,Anopheles gambiae ,FLOW ,Genome, Insect ,Web application development ,Guinea-Bissau ,01 natural sciences ,Genome ,Partner working group ,Gene flow ,Insecticide Resistance ,Kenya ,Effective population size ,[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases ,RA0421 ,Gabon ,Sequencing and data production ,ComputingMilieux_MISCELLANEOUS ,Multidisciplinary ,biology ,Uganda ,[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE] ,INTROGRESSION ,genomics ,malaria ,anopheles gambiae ,Anopheles ,Project coordination ,Crosses ,3. Good health ,MOSQUITO ,Multidisciplinary Sciences ,Mosquito control ,QR180 ,Science & Technology - Other Topics ,Female ,Burkina Faso ,Sample collections—Angola ,Gene Flow ,X Chromosome ,General Science & Technology ,Data analysis group ,Mosquito Vectors ,Polymorphism, Single Nucleotide ,010603 evolutionary biology ,Article ,QH301 ,03 medical and health sciences ,CULICIDAE ,Cameroon ,parasitic diseases ,DIVERGENCE ,Animals ,Anopheles gambiae 1000 Genomes Consortium ,POPULATION-STRUCTURE ,INCIPIENT SPECIATION ,Population Density ,Genetic diversity ,Science & Technology ,Gene Drive Technology ,Genetic Variation ,Guinea ,biology.organism_classification ,Malaria ,030104 developmental biology ,Evolutionary biology ,DROSOPHILA-MELANOGASTER ,Africa ,Threatened species ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,RESISTANCE - Abstract
The sustainability of malaria control in Africa is threatened by the rise of insecticide resistance in Anopheles mosquitoes, which transmit the disease(1). To gain a deeper understanding of how mosquito populations are evolving, here we sequenced the genomes of 765 specimens of Anopheles gambiae and Anopheles coluzzii sampled from 15 locations across Africa, and identified over 50 million single nucleotide polymorphisms within the accessible genome. These data revealed complex population structure and patterns of gene flow, with evidence of ancient expansions, recent bottlenecks, and local variation in effective population size. Strong signals of recent selection were observed in insecticide-resistance genes, with several sweeps spreading over large geographical distances and between species. The design of new tools for mosquito control using gene-drive systems will need to take account of high levels of genetic diversity in natural mosquito populations.
- Published
- 2017
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