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Genetic diversity of the African malaria vector Anopheles gambiae
Publication available at: | http://researchonline.ljmu.ac.uk/id/eprint/7775/ |
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Title: | Genetic diversity of the African malaria vector Anopheles gambiae |
Authors: | Miles, A Harding, NJ Botta, G Clarkson, CS Antao, T Kozak, K Schrider, DR Kern, AD Redmond, S Sharakhov, I Pearson, RD Bergey, C Fontaine, MC Donnelly, MJ Lawniczak, MKN Kwiatkowski, DP Ayala, D Besensky, NJ Burt, A Caputo, B Della Torre, A Fontaine, MC Godfrey, HCJ Hahn, MW Midega, J Neafsey, DE O'Loughlin, S Pinto, J Riehle, MM Vernick, KD Weetman, D Wilding, CS White, BJ Troco, AD Diabate, A Costantini, C Rohatgi, KR Besansky, NJ Elissa, N Coulibaly, B Dinis, J Midegal, J Mbogo, C Bejon, P Mawejje, HD Stalker, J Rockett, K Drury, E Mead, D Jeffreys, A Hubbard, C Rowlands, K Isaacs, AT Jyothi, D Malangone, C Vauterin, P Jeffery, B Wright, I Hart, L Kluczyriski, K Cornelius, V MacInnisn, B Henrichs, C Giacomantonio, R |
Item Type: | Journal Article |
Abstract: | The sustainability of malaria control in Africa is threatened by the rise of insecticide resistance in Anopheles mosquitoes, which transmit the disease1. 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. |
Issue Date: | 7-Dec-2017 |
Date of Acceptance: | 1-Nov-2017 |
URI: | http://hdl.handle.net/10044/1/84173 |
DOI: | 10.1038/nature24995 |
ISSN: | 0028-0836 |
Publisher: | Nature Publishing Group |
Start Page: | 96 |
End Page: | 100 |
Journal / Book Title: | Nature |
Volume: | 552 |
Issue: | 7683 |
Copyright Statement: | © 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. |
Sponsor/Funder: | The Royal Society Bill & Melinda Gates Foundation Silicon Valley Community Foundation Medical Research Council (MRC) |
Funder's Grant Number: | WM110082 OPP1141988 N/A G1100339 |
Keywords: | Science & Technology Multidisciplinary Sciences Science & Technology - Other Topics POPULATION-STRUCTURE DROSOPHILA-MELANOGASTER INCIPIENT SPECIATION POSITIVE SELECTION MOSQUITO FLOW INTROGRESSION DIVERGENCE RESISTANCE CULICIDAE Africa Animals Anopheles Female Gene Drive Technology Gene Flow Genetic Variation Genome, Insect Insecticide Resistance Malaria Male Mosquito Control Mosquito Vectors Polymorphism, Single Nucleotide Population Density X Chromosome 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 Science & Technology Multidisciplinary Sciences Science & Technology - Other Topics POPULATION-STRUCTURE DROSOPHILA-MELANOGASTER INCIPIENT SPECIATION POSITIVE SELECTION MOSQUITO FLOW INTROGRESSION DIVERGENCE RESISTANCE CULICIDAE General Science & Technology |
Publication Status: | Published |
Open Access location: | http://researchonline.ljmu.ac.uk/id/eprint/7775/ |
Online Publication Date: | 2017-11-29 |
Appears in Collections: | Faculty of Natural Sciences |