Zeitschriftenaufsatz | 2025 Open Access

Footprints of Worldwide Adaptation in Structured Populations of Drosophila melanogaster Through the Expanded DEST 2.0 Genomic Resource

Autor:in
Nunez, Joaquin C. B.; Coronado-Zamora, Marta; Gautier, Mathieu; Kapun, Martin; Steindl, Sonja; Ometto, Lino; Hoedjes, Katja; Beets, Julia; Wiberg, R. Axel W.; Mazzeo, Giovanni R.; Bass, David J.; Radionov, Denys; Kozeretska, Iryna; Zinchenko, Mariia; Protsenko, Oleksandra; Serga, Svitlana V.; Amor-Jimenez, Cristina; Casillas, Sonia; Sanchez-Gracia, Alejandro; Patenkovic, Aleksandra; Glaser-Schmitt, Amanda; Barbadilla, Antonio; Buendia-Ruiz, Antonio J.; Bertelli, Astra Clelia; Kiss, Balazs; Sebnem Oender, Banu; Roldan Matrin, Belen; Wertheim, Bregje; Deschamps, Candice; Arboleda-Bustos, Carlos E.; Tinedo, Carlos; Feller, Christian; Schloetterer, Christian; Lawler, Clancy; Fricke, Claudia; Vieira, Cristina P.; Vieira, Cristina; Obbard, Darren J.; Juana Orengo, Dorcas; Vela, Doris; Amat, Eduardo; Loreto, Elgion; Kerdaffrec, Envel; Durmaz Mitchell, Esra; Puerma, Eva; Staubach, Fabian; Florencia Camus, M.; Colinet, Herve; Hrcek, Jan; Givskov Sorensen, Jesper; Abbott, Jessica; Torro, Joan; Parsch, John; Vieira, Jorge; Luis Olmo, Jose; Khfif, Khalid; Wojciechowski, Krzysztof; Madi-Ravazzi, Lilian; Kankare, Maaria; Schou, Mads F.; Ladoukakis, Emmanuel D.; Gomez-Julian, M. Josefa; Espinosa-Jimenez, M. Luisa; Garcia Guerreiro, Maria Pilar; Parakatselaki, Maria-Eleni; Savic Veselinovic, Marija; Tanaskovic, Marija; Stamenkovic-Radak, Marina; Paris, Margot; Pascual, Marta; Ritchie, Michael G.; Rera, Michel; Jelic, Mihailo; Hojat Ansari, Mina; Rakic, Mina; Merenciano, Miriam; Hernandes, Natalia; Gora, Nazar; Rode, Nicolas; Rota-Stabelli, Omar; Sepulveda, Paloma; Gibert, Patricia; Carazo, Pau; Kohlmeier, Pinar; Erickson, Priscilla A.; Vitalis, Renaud; Roberto Torres, Jorge; Guirao-Rico, Sara; Ramos-Onsins, Sebastian E.; Castillo, Silvana; Paulo, Tania F.; Tyukmaeva, Venera; Alonso, Zahara; Alatortsev, Vladimir E.; Pasyukova, Elena; Mukha, Dmitry V.; Petrov, Dmitri A.; Schmidt, Paul; Flatt, Thomas; Bergland, Alan O.; Gonzalez, Josefa
Publikationen als Autor:in / Herausgeber:in der Vetmeduni
Schlötterer, Christian
Journal
Molecular Biology and Evolution
Schlagwörter
Drosophila melanogaster; dataset; population structure; seasonal selection; local adaptation; ecological genomics
Dokumenten­typ
Übersichtsarbeit
CC Lizenz
CC-BY-NC
Open Access Type
Gold
ISSN/eISSN
0737-4038 - 1537-1719
DOI
Öffnen URL 10.1093/molbev/msaf132
WoS ID
Öffnen URL WOS:001575532900001
PubMed ID
Öffnen URL MEDLINE:40824865

Weitere Details

Band
42
Nummer
8
Seiten­anzahl
28
Large-scale genomic resources can place genetic variation into an ecologically informed context. To advance our understanding of the population genetics of the fruit fly Drosophila melanogaster, we present an expanded release of the community-generated population genomics resource Drosophila Evolution over Space and Time (DEST 2.0; https://dest.bio/). This release includes 530 high-quality pooled libraries from flies collected across six continents over more than a decade (2009 to 2021), most at multiple time points per year; 211 of these libraries are sequenced and shared here for the first time. We used this enhanced resource to elucidate several aspects of the species' demographic history and identify novel signs of adaptation across spatial and temporal dimensions. For example, we showed that the spatial genetic structure of populations is stable over time, but that drift due to seasonal contractions of population size causes populations to diverge over time. We identified signals of adaptation that vary between continents in genomic regions associated with xenobiotic resistance, consistent with independent adaptation to common pesticides. Moreover, by analyzing samples collected during spring and fall across Europe, we provide new evidence for seasonal adaptation related to loci associated with pathogen response. Furthermore, we have also released an updated version of the DEST genome browser. This is a useful tool for studying spatiotemporal patterns of genetic variation in this classic model system.

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