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Genomic Analysis of European Drosophila melanogaster Populations Reveals Longitudinal Structure, Continent-Wide Selection, and Previously Unknown DNA Viruses

Authors :
CSIC - Unidad de Recursos de Información Científica para la Investigación (URICI)
Stanford University
European Society for Evolutionary Biology
Wellcome Trust
University of Freiburg
German Research Foundation
Academy of Finland
Russian Foundation for Basic Research
Danish Natural Science Research Council
Ministerio de Economía y Competitividad (España)
Ministerio de Ciencia, Innovación y Universidades (España)
Agencia Estatal de Investigación (España)
Centre National de la Recherche Scientifique (France)
Swedish Research Council
National Institutes of Health (US)
The Scientific and Technological Research Council of Turkey
Agence Nationale de la Recherche (France)
European Commission
Israel Science Foundation
Austrian Science Fund
Biotechnology and Biological Sciences Research Council (UK)
Swiss National Science Foundation
European Research Council
Generalitat de Catalunya
Kapun, Martin
Barrón, Maite G.
Staubach, Fabian
Obbard, Darren, J.
Wiberg, R. Axel W.
Vieira, Jorge
Goubert, Clément
Rota-Stabelli, Omar
Kankare, Maaria
Bogaerts-Márquez, María
Haudry, Annabelle
Waidele, Lena
Kozeretska, Iryna
Pasyukova, Elena G.
Loeschcke, Volker
Pascual, Marta
Vieira, Cristina P.
Serga, Svitlana
Montchamp-Moreau, Catherine
Abbott, Jessica
Gibert, Patricia
Porcelli, Damiano
Posnien, Nico
Sánchez-Gracia, Alejandro
Grath, Sonja
Sucena, Élio
Bergland, Alan O.
Garcia Guerreiro, Maria Pilar
Onder, Banu Sebnem
Argyridou, Eliza
Guio, Lain
Schou, Mads Fristrup
Deplancke, Bart
Vieira, Cristina
Ritchie, Michael G.
Zwaan, Blas J.
Tauber, Eran
Orengo, Dorcas J.
Puerma, Eva
Aguadé i Porres, Montserrat
Schmidt, Paul S.
Parsch, John
Betancourt, Andrea J.
Flatt, Thomas
González Pérez, Josefa
CSIC - Unidad de Recursos de Información Científica para la Investigación (URICI)
Stanford University
European Society for Evolutionary Biology
Wellcome Trust
University of Freiburg
German Research Foundation
Academy of Finland
Russian Foundation for Basic Research
Danish Natural Science Research Council
Ministerio de Economía y Competitividad (España)
Ministerio de Ciencia, Innovación y Universidades (España)
Agencia Estatal de Investigación (España)
Centre National de la Recherche Scientifique (France)
Swedish Research Council
National Institutes of Health (US)
The Scientific and Technological Research Council of Turkey
Agence Nationale de la Recherche (France)
European Commission
Israel Science Foundation
Austrian Science Fund
Biotechnology and Biological Sciences Research Council (UK)
Swiss National Science Foundation
European Research Council
Generalitat de Catalunya
Kapun, Martin
Barrón, Maite G.
Staubach, Fabian
Obbard, Darren, J.
Wiberg, R. Axel W.
Vieira, Jorge
Goubert, Clément
Rota-Stabelli, Omar
Kankare, Maaria
Bogaerts-Márquez, María
Haudry, Annabelle
Waidele, Lena
Kozeretska, Iryna
Pasyukova, Elena G.
Loeschcke, Volker
Pascual, Marta
Vieira, Cristina P.
Serga, Svitlana
Montchamp-Moreau, Catherine
Abbott, Jessica
Gibert, Patricia
Porcelli, Damiano
Posnien, Nico
Sánchez-Gracia, Alejandro
Grath, Sonja
Sucena, Élio
Bergland, Alan O.
Garcia Guerreiro, Maria Pilar
Onder, Banu Sebnem
Argyridou, Eliza
Guio, Lain
Schou, Mads Fristrup
Deplancke, Bart
Vieira, Cristina
Ritchie, Michael G.
Zwaan, Blas J.
Tauber, Eran
Orengo, Dorcas J.
Puerma, Eva
Aguadé i Porres, Montserrat
Schmidt, Paul S.
Parsch, John
Betancourt, Andrea J.
Flatt, Thomas
González Pérez, Josefa
Publication Year :
2020

Abstract

Genetic variation is the fuel of evolution, with standing genetic variation especially important for short-term evolution and local adaptation. To date, studies of spatiotemporal patterns of genetic variation in natural populations have been challenging, as comprehensive sampling is logistically difficult, and sequencing of entire populations costly. Here, we address these issues using a collaborative approach, sequencing 48 pooled population samples from 32 locations, and perform the first continent-wide genomic analysis of genetic variation in European Drosophila melanogaster. Our analyses uncover longitudinal population structure, provide evidence for continent-wide selective sweeps, identify candidate genes for local climate adaptation, and document clines in chromosomal inversion and transposable element frequencies. We also characterize variation among populations in the composition of the fly microbiome, and identify five new DNA viruses in our samples.

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1286568810
Document Type :
Electronic Resource