RT Journal Article SR Electronic T1 Genomic analysis of European Drosophila melanogaster populations reveals longitudinal structure, continent-wide selection, and previously unknown DNA viruses JF bioRxiv FD Cold Spring Harbor Laboratory SP 313759 DO 10.1101/313759 A1 Martin Kapun A1 Maite G. Barrón A1 Fabian Staubach A1 Darren J. Obbard A1 R. Axel W. Wiberg A1 Jorge Vieira A1 Clément Goubert A1 Omar Rota-Stabelli A1 Maaria Kankare A1 María Bogaerts-Márquez A1 Annabelle Haudry A1 Lena Waidele A1 Iryna Kozeretska A1 Elena G. Pasyukova A1 Volker Loeschcke A1 Marta Pascual A1 Cristina P. Vieira A1 Svitlana Serga A1 Catherine Montchamp-Moreau A1 Jessica Abbott A1 Patricia Gibert A1 Damiano Porcelli A1 Nico Posnien A1 Alejandro Sánchez-Gracia A1 Sonja Grath A1 Élio Sucena A1 Alan O. Bergland A1 Maria Pilar Garcia Guerreiro A1 Banu Sebnem Onder A1 Eliza Argyridou A1 Lain Guio A1 Mads Fristrup Schou A1 Bart Deplancke A1 Cristina Vieira A1 Michael G. Ritchie A1 Bas J. Zwaan A1 Eran Tauber A1 Dorcas J. Orengo A1 Eva Puerma A1 Montserrat Aguadé A1 Paul S. Schmidt A1 John Parsch A1 Andrea J. Betancourt A1 Thomas Flatt A1 Josefa González YR 2020 UL http://biorxiv.org/content/early/2020/03/11/313759.abstract AB Genetic variation is the fuel of evolution, with standing genetic variation especially important for short-term evolution and local adaptation. To date, studies of spatio-temporal 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 characterise variation among populations in the composition of the fly microbiome, and identify five new DNA viruses in our samples.