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

Kapun, M.; Barron, M.G.; Staubach, F.; Obbard, D.J.; Wiberg, R.A.W.; Vieira, J.; Goubert, C.; Rota Stabelli, O.; Kankare, M.; Bogaerts-Márquez, M.; Haudry, A.; Waidele, L.; Kozeretska, I.; Pasyukova, E.G.; Loeschcke, V.; Pascual, M.; Vieira, C.P.; Serga, S.; Montchamp-Moreau, C.; Abbott, J.; Gibert, P.; Porcelli, D.; Posnien, N.; Sánchez-Gracia, A.; Grath, S.; Sucena, E.; Bergland, A.O.; Guerreiro, M.P.G.; Onder, B.S.; Argyridou, E.; Guio, L.; Schou, M.F.; Deplancke, B.; Vieira, C.; Ritchie, M.G.; Zwaan, B.J.; Tauber, E.; Orengo, D.J.; Puerma, E.; Aguadé, M.; Schmidt, P.; Parsch, J.; Betancourt, A.J.; Flatt, T.; González, J. (2020). Genomic analysis of European Drosophila melanogaster populations reveals longitudinal structure, continent-wide selection, and previously unknown DNA viruses. MOLECULAR BIOLOGY AND EVOLUTION, 37 (9): 2661-2678. doi: 10.1093/molbev/msaa120 handle: http://hdl.handle.net/10449/69008

Genomic analysis of European Drosophila melanogaster populations reveals longitudinal structure, continent-wide selection, and previously unknown DNA viruses

Rota Stabelli, O.;
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
SNPs
Adaptation
Demography
Clines
Population genomics
Selection
Structural variants
Settore BIO/18 - GENETICA
Kapun, M.; Barron, M.G.; Staubach, F.; Obbard, D.J.; Wiberg, R.A.W.; Vieira, J.; Goubert, C.; Rota Stabelli, O.; Kankare, M.; Bogaerts-Márquez, M.; Haudry, A.; Waidele, L.; Kozeretska, I.; Pasyukova, E.G.; Loeschcke, V.; Pascual, M.; Vieira, C.P.; Serga, S.; Montchamp-Moreau, C.; Abbott, J.; Gibert, P.; Porcelli, D.; Posnien, N.; Sánchez-Gracia, A.; Grath, S.; Sucena, E.; Bergland, A.O.; Guerreiro, M.P.G.; Onder, B.S.; Argyridou, E.; Guio, L.; Schou, M.F.; Deplancke, B.; Vieira, C.; Ritchie, M.G.; Zwaan, B.J.; Tauber, E.; Orengo, D.J.; Puerma, E.; Aguadé, M.; Schmidt, P.; Parsch, J.; Betancourt, A.J.; Flatt, T.; González, J. (2020). Genomic analysis of European Drosophila melanogaster populations reveals longitudinal structure, continent-wide selection, and previously unknown DNA viruses. MOLECULAR BIOLOGY AND EVOLUTION, 37 (9): 2661-2678. doi: 10.1093/molbev/msaa120 handle: http://hdl.handle.net/10449/69008
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