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The sustainability of malaria control in Africa is threatened by the rise of insecticide resistance in Anopheles mosquitoes, which transmit the disease. 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.

Original publication

DOI

10.1038/nature24995

Type

Journal article

Journal

Nature

Publication Date

12/2017

Volume

552

Pages

96 - 100

Keywords

Anopheles gambiae 1000 Genomes Consortium, Data analysis group, Partner working group, Sample collections—Angola:, Burkina Faso:, Cameroon:, Gabon:, Guinea:, Guinea-Bissau:, Kenya:, Uganda:, Crosses:, Sequencing and data production, Web application development, Project coordination, X Chromosome, Animals, Anopheles, Malaria, Population Density, Mosquito Control, Insecticide Resistance, Polymorphism, Single Nucleotide, Africa, Female, Male, Genome, Insect, Gene Flow, Genetic Variation, Mosquito Vectors, Gene Drive Technology