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2 results on '"Arlete D Troco"'

1. Natural diversity of the malaria vectorAnopheles gambiae

Author

Bradley J. White, Craig S. Wilding, Dan Mead, Rachel Giacomantonio, Abdoulaye Diabaté, Kate Rowlands, Dominic P. Kwiatkowski, Charles M. Mbogo, Jim Stalker, Kenneth D. Vernick, Victoria Cornelius, Andrew D. Kern, Krzysztof Kluczynski, Ben Jeffrey, Joao Dinis, Alessandra della Torre, David Weetman, Matthew W. Hahn, Beniamino Caputo, Alison T. Isaacs, Lee Hart, Christina Hubbart, Kyanne R. Rohatgi, Martin J. Donnelly, Nohal Elissa, Ian Wright, Chris S Clarkson, Richard D. Pearson, Daniel E. Neafsey, Krzysztof Kozak, Christina M. Bergey, Diego Ayala, Mara K. N. Lawniczak, Anna E. Jeffreys, Paul Vauterin, Charles Godfray, Seth Redmond, Bronwyn MacInnis, Christa Henrichs, Michelle M. Riehle, João Pinto, Nicholas J. Harding, Cinzia Malangone, Kirk A. Rockett, Samantha M. O’Loughlin, Dushyanth Jyothi, Tiago Antao, Arlete D. Troco, Austin Burt, Henry Mawejje, Carlo Costantini, Janet Midega, Boubacar Coulibaly, Eleanor Drury, Michael C Fontaine, Igor V. Sharakhov, Giordano Bottà, Daniel R. Schrider, Philip Bejon, Alistair Miles, and Nora J. Besansky

Subjects
0301 basic medicine, Genetic diversity, biology, Anopheles gambiae, biology.organism_classification, medicine.disease, Genome, 03 medical and health sciences, Mosquito control, 030104 developmental biology, Evolutionary biology, parasitic diseases, Threatened species, medicine, Genetic variability, Selection (genetic algorithm), Malaria
Abstract

The sustainability of malaria control in Africa is threatened by rising levels of insecticide resistance, and new tools to prevent malaria transmission are urgently needed. To gain a better understanding of the mosquito populations that transmit malaria, we sequenced the genomes of 765 wild specimens ofAnopheles gambiaeandAnopheles coluzziisampled from 15 locations across Africa. The data reveal high levels of genetic diversity, with over 50 million single nucleotide polymorphisms across the 230 Mbp genome. We observe complex patterns of population structure and marked variations in local population size, some of which may be due at least in part to malaria control interventions. Insecticide resistance genes show strong signatures of recent selection associated with multiple independent mutations spreading over large geographical distances and between species. The genetic variability of natural populations substantially reduces the target space for novel gene-drive strategies for mosquito control. This large dataset provides a foundation for tracking the emergence and spread of insecticide resistance and developing new vector control tools.

Published
2016

2. Genome variation and population structure among 1142 mosquitoes of the African malaria vector species Anopheles gambiae and Anopheles coluzzii

Author

Matthew W. Hahn, Alison T. Isaacs, Edi Constant, Jim Stalker, Boubacar Coulibaly, Michelle M. Riehle, Alistair Miles, Austin Burt, Chris S Clarkson, Charles Mbogo, Alessandra della Torre, Michael C Fontaine, Nora J. Besansky, Eric R. Lucas, Victoria Simpson, Daniel R. Schrider, Samantha M. O’Loughlin, Kirk A. Rockett, Henry D. Mawejje, Bradley J. White, Arlete D. Troco, Andrew D. Kern, Jorge Edouardo Amaya-Romero, Abdoulaye Diabaté, Jorge Cano, Beniamino Caputo, H. Charles J. Godfray, Nicholas J. Harding, Kyanne R. Rohatgi, Igor V. Sharakhov, Christa Henrichs, Martin J. Donnelly, C. J. Battey, Cinzia Malangone, Anna E. Jeffreys, João Pinto, Nohal Elissa, Kate Rowlands, Maryam Kamali, Davis Nwakanma, Kenneth D. Vernick, Carlo Costantini, Janet Midega, John Essandoh, Diego Ayala, Musa Jawara, Eleanor Drury, Daniel Mead, Vincent Robert, Mara K. N. Lawniczak, Dushyanth Jyothi, Joao Dinis, Gilbert Le Goff, Christina Hubbart, Dominic P. Kwiatkowski, Van Doorn group, Fontaine lab, Centre Muraz [Bobo-Dioulasso, Burkina Faso], 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]), Unité d'Entomologie Médicale [Antananarivo, Madagascar] (IPM), Institut Pasteur de Madagascar, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), The Wellcome Trust Sanger Institute [Cambridge], The Wellcome Trust Centre for Human Genetics [Oxford], University of Oxford [Oxford], Laboratorio Pasteur [Istituto Pasteur-Fondazione Cenci Bolognetti, Rome], Institut Pasteur, Fondation Cenci Bolognetti - Istituto Pasteur Italia, Fondazione Cenci Bolognetti, Groningen Institute for Evolutionary Life Sciences [Groningen] (GELIFES), University of Groningen [Groningen], Computer Science Departement [Indiana], Indiana University [Bloomington], Indiana University System-Indiana University System, Virginia Tech [Blacksburg], and University of Oxford

Subjects
Insecticides, [SDV]Life Sciences [q-bio], Anopheles gambiae, Genome, Insect, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Population genomics, 0302 clinical medicine, CRISPR-Associated Protein 9, Pyrethrins, Copy-number variation, Genetics (clinical), 0303 health sciences, [SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE], INTROGRESSION, KDR MUTATION, 3. Good health, Mosquito control, Resource, mosquito, anopheles, genome, MOLECULAR-FORMS, DNA Copy Number Variations, 030231 tropical medicine, Mosquito Vectors, Biology, Polymorphism, Single Nucleotide, MECHANISMS, 03 medical and health sciences, QH301, Genetic variation, Anopheles, parasitic diseases, Genetics, medicine, Animals, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, GENE DRIVE, QH426, 030304 developmental biology, Isolation by distance, Genetic diversity, COMPLEX, IDENTIFICATION, Whole Genome Sequencing, QH, Genetic Variation, AMPLIFICATION, Gene drive, 15. Life on land, medicine.disease, biology.organism_classification, EVOLUTION, Haplotypes, Evolutionary biology, INSECTICIDE RESISTANCE, 030217 neurology & neurosurgery, Malaria
Abstract

Mosquito control remains a central pillar of efforts to reduce malaria burden in sub-Saharan Africa. However, insecticide resistance is entrenched in malaria vector populations, and countries with a high malaria burden face a daunting challenge to sustain malaria control with a limited set of surveillance and intervention tools. Here we report on the second phase of a project to build an open resource of high-quality data on genome variation among natural populations of the major African malaria vector species Anopheles gambiae and Anopheles coluzzii. We analyzed whole genomes of 1142 individual mosquitoes sampled from the wild in 13 African countries, as well as a further 234 individuals comprising parents and progeny of 11 laboratory crosses. The data resource includes high-confidence single-nucleotide polymorphism (SNP) calls at 57 million variable sites, genome-wide copy number variation (CNV) calls, and haplotypes phased at biallelic SNPs. We use these data to analyze genetic population structure and characterize genetic diversity within and between populations. We illustrate the utility of these data by investigating species differences in isolation by distance, genetic variation within proposed gene drive target sequences, and patterns of resistance to pyrethroid insecticides. This data resource provides a foundation for developing new operational systems for molecular surveillance and for accelerating research and development of new vector control tools. It also provides a unique resource for the study of population genomics and evolutionary biology in eukaryotic species with high levels of genetic diversity under strong anthropogenic evolutionary pressures.

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