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32 results on '"European Society for Evolutionary Biology"'

1. DrosOmics: A Browser to Explore -omics Variation Across High-Quality Reference Genomes From Natural Populations of Drosophila melanogaster

Author

Conferencia de Rectores de las Universidades Españolas, Consejo Superior de Investigaciones Científicas (España), European Research Council, European Commission, Ministerio de Economía y Competitividad (España), Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), European Society for Evolutionary Biology, Salces-Ortiz, Judit [0000-0002-3572-4020], González Pérez, Josefa [0000-0001-9824-027X], Coronado-Zamora, Marta, Salces-Ortiz, Judit, González Pérez, Josefa, Conferencia de Rectores de las Universidades Españolas, Consejo Superior de Investigaciones Científicas (España), European Research Council, European Commission, Ministerio de Economía y Competitividad (España), Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), European Society for Evolutionary Biology, Salces-Ortiz, Judit [0000-0002-3572-4020], González Pérez, Josefa [0000-0001-9824-027X], Coronado-Zamora, Marta, Salces-Ortiz, Judit, and González Pérez, Josefa

Abstract

The advent of long-read sequencing technologies has allowed the generation of multiple high-quality de novo genome assemblies for multiple species, including well-known model species such as Drosophila melanogaster. Genome assemblies for multiple individuals of the same species are key to discover the genetic diversity present in natural populations, especially the one generated by transposable elements, the most common type of structural variant. Despite the availability of multiple genomic data sets for D. melanogaster populations, we lack an efficient visual tool to display different genome assemblies simultaneously. In this work, we present DrosOmics, a population genomic-oriented browser currently containing 52 high-quality reference genomes of D. melanogaster, including annotations from a highly reliable set of transposable elements, and functional transcriptomics and epigenomics data for 26 genomes. DrosOmics is based on JBrowse 2, a highly scalable platform, which allows the visualization of multiple assemblies at once, key to unraveling structural and functional features of D. melanogaster natural populations. DrosOmics is an open access browser and is freely available at http://gonzalezlab.eu/drosomics.

Published
2023

2. The genomic basis of copper tolerance in Drosophila is shaped by a complex interplay of regulatory and environmental factors

Author

European Research Council, Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), European Commission, European Society for Evolutionary Biology, Green, Llewellyn, Coronado, Marta, Radío, Santiago, Rech, Gabriel E., Salces-Ortiz, Judit, González, Josefa, European Research Council, Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), European Commission, European Society for Evolutionary Biology, Green, Llewellyn, Coronado, Marta, Radío, Santiago, Rech, Gabriel E., Salces-Ortiz, Judit, and González, Josefa

Abstract

Escalation in industrialization and anthropogenic activity have resulted in an increase of pollutants released into the environment. Of these pollutants, heavy metals such as copper are particularly concerning due to their bio-accumulative nature. Due to its highly heterogeneous distribution and its dual nature as an essential micronutrient and toxic element, the genetic basis of copper tolerance is likely shaped by a complex interplay of genetic and environmental factors.

Published
2022

3. Corrigendum to: Drosophila Evolution over Space and Time (DEST): a New Population Genomics Resource

Author

European Society for Evolutionary Biology, Austrian Science Fund, European Research Council, Ministerio de Ciencia e Innovación (España), Swiss National Science Foundation, German Research Foundation, National Institutes of Health (US), Academy of Finland, Danish Natural Science Research Council, Israel Science Foundation, Ministry of Education, Science and Technological Development (Serbia), Natural Sciences and Engineering Research Council of Canada, Kapun, Martin, Nunez, Joaquin C. B., Bogaerts-Márquez, María, Murga-Moreno, Jesús, Paris, Margot, Outten, Joseph, Coronado, Marta, Tern, Courtney, Rota-Stabelli, Omar, Garcia Guerreiro, Maria Pilar, Casillas, Sònia, Orengo, Dorcas J., Puerma, Eva, Kankare, Maaria, Ometto, Lino, Loeschcke, Volker, Onder, Banu Sebnem, Abbott, Jessica, Schaeffer, Stephen W., Rajpurohit, Subhash, Behrman, Emily L., Schou, Mads Fristrup, Merritt, Thomas J. S., Lazzaro, Brian P., Glaser-Schmitt, Amanda, Argyridou, Eliza, Staubach, Fabian, Wang, Yun, Tauber, Eran, Serga, Svitlana, Fabian, Daniel K., Dyer, Kelly A., Wheat, Christopher, Parsch, John, Grath, Sonja, Savic Veselinovic, Marija, Stamenkovic-Radak, Marina, Jelic, Mihailo, Buendía-Ruíz, Antonio J., Gómez-Julián, M. Josefa, Espinosa-Jimenez, M. Luisa, Gallardo-Jiménez, Francisco D., Patenkovic, Aleksandra, Eric, Katarina, Tanaskovic, Marija, Ullastres, Ana, Guio, Lain, Merenciano, Miriam, Guirao-Rico, Sara, Horváth, Vivien, Obbard, Darren, J., Pasyukova, Elena G., Alatortsev, Vladimir E., Vieira, Cristina P., Vieira, Jorge, Torres, J. Roberto, Kozeretska, Iryna, Maistrenko, Oleksandr M., Montchamp-Moreau, Catherine, Mukha, Dmitry V., Machado, Heather E., Lamb, Keric, Paulo, Tânia, Yusuf, Leeban, Barbadilla, Antonio, Petrov, Dmitri A., Schmidt, Paul S., González Pérez, Josefa, Flatt, Thomas, Bergland, Alan O., European Society for Evolutionary Biology, Austrian Science Fund, European Research Council, Ministerio de Ciencia e Innovación (España), Swiss National Science Foundation, German Research Foundation, National Institutes of Health (US), Academy of Finland, Danish Natural Science Research Council, Israel Science Foundation, Ministry of Education, Science and Technological Development (Serbia), Natural Sciences and Engineering Research Council of Canada, Kapun, Martin, Nunez, Joaquin C. B., Bogaerts-Márquez, María, Murga-Moreno, Jesús, Paris, Margot, Outten, Joseph, Coronado, Marta, Tern, Courtney, Rota-Stabelli, Omar, Garcia Guerreiro, Maria Pilar, Casillas, Sònia, Orengo, Dorcas J., Puerma, Eva, Kankare, Maaria, Ometto, Lino, Loeschcke, Volker, Onder, Banu Sebnem, Abbott, Jessica, Schaeffer, Stephen W., Rajpurohit, Subhash, Behrman, Emily L., Schou, Mads Fristrup, Merritt, Thomas J. S., Lazzaro, Brian P., Glaser-Schmitt, Amanda, Argyridou, Eliza, Staubach, Fabian, Wang, Yun, Tauber, Eran, Serga, Svitlana, Fabian, Daniel K., Dyer, Kelly A., Wheat, Christopher, Parsch, John, Grath, Sonja, Savic Veselinovic, Marija, Stamenkovic-Radak, Marina, Jelic, Mihailo, Buendía-Ruíz, Antonio J., Gómez-Julián, M. Josefa, Espinosa-Jimenez, M. Luisa, Gallardo-Jiménez, Francisco D., Patenkovic, Aleksandra, Eric, Katarina, Tanaskovic, Marija, Ullastres, Ana, Guio, Lain, Merenciano, Miriam, Guirao-Rico, Sara, Horváth, Vivien, Obbard, Darren, J., Pasyukova, Elena G., Alatortsev, Vladimir E., Vieira, Cristina P., Vieira, Jorge, Torres, J. Roberto, Kozeretska, Iryna, Maistrenko, Oleksandr M., Montchamp-Moreau, Catherine, Mukha, Dmitry V., Machado, Heather E., Lamb, Keric, Paulo, Tânia, Yusuf, Leeban, Barbadilla, Antonio, Petrov, Dmitri A., Schmidt, Paul S., González Pérez, Josefa, Flatt, Thomas, and Bergland, Alan O.

Abstract

Drosophila melanogaster is a leading model in population genetics and genomics, and a growing number of whole-genome datasets from natural populations of this species have been published over the last years. A major challenge is the integration of disparate datasets, often generated using different sequencing technologies and bioinformatic pipelines, which hampers our ability to address questions about the evolution of this species. Here we address these issues by developing a bioinformatics pipeline that maps pooled sequencing (Pool-Seq) reads from D. melanogaster to a hologenome consisting of fly and symbiont genomes and estimates allele frequencies using either a heuristic (PoolSNP) or a probabilistic variant caller (SNAPE-pooled). We use this pipeline to generate the largest data repository of genomic data available for D. melanogaster to date, encompassing 271 previously published and unpublished population samples from over 100 locations in > 20 countries on four continents. Several of these locations have been sampled at different seasons across multiple years. This dataset, which we call Drosophila Evolution over Space and Time (DEST), is coupled with sampling and environmental meta-data. A web-based genome browser and web portal provide easy access to the SNP dataset. We further provide guidelines on how to use Pool-Seq data for model-based demographic inference. Our aim is to provide this scalable platform as a community resource which can be easily extended via future efforts for an even more extensive cosmopolitan dataset. Our resource will enable population geneticists to analyze spatio-temporal genetic patterns and evolutionary dynamics of D. melanogaster populations in unprecedented detail.

Published
2022

4. The discovery, distribution, and diversity of DNA viruses associated with Drosophila melanogaster in Europe

Author

Natural Environment Research Council (UK), Wellcome Trust, Biotechnology and Biological Sciences Research Council (UK), Swiss National Science Foundation, Agence Nationale de la Recherche (France), European Commission, European Research Council, Fundación Española para la Ciencia y la Tecnología, Ministerio de Economía y Competitividad (España), German Research Foundation, Academy of Finland, Austrian Science Fund, Danish Research Council, The Scientific and Technological Research Council of Turkey, Ministry of Education, Science and Technological Development (Serbia), European Society for Evolutionary Biology, Wallace, Megan A., Coffman, Kelsey A., Gilbert, Clément, Ravindran, Sanjana, Albery, Gregory F., Abbott, Jessica, Argyridou, Eliza, Bellosta, Paola, Betancourt, Andrea J., Colinet, Hervé, Eric, Katarina, Glaser-Schmitt, Amanda, Grath, Sonja, Jelic, Mihailo, Kankare, Maaria, Kozeretska, Iryna, Loeschcke, Volker, Montchamp-Moreau, Catherine, Ometto, Lino, Onder, Banu Sebnem, Orengo, Dorcas J., Parsch, John, Pascual, Marta, Patenkovic, Aleksandra, Puerma, Eva, Ritchie, Michael G., Rota-Stabelli, Omar, Schou, Mads Fristrup, Serga, Svitlana, Stamenkovic-Radak, Marina, Tanaskovic, Marija, Savic Veselinovic, Marija, Vieira, Jorge, Vieira, Cristina P., Kapun, Martin, Flatt, Thomas, González Pérez, Josefa, Staubach, Fabian, Obbard, Darren, J., Natural Environment Research Council (UK), Wellcome Trust, Biotechnology and Biological Sciences Research Council (UK), Swiss National Science Foundation, Agence Nationale de la Recherche (France), European Commission, European Research Council, Fundación Española para la Ciencia y la Tecnología, Ministerio de Economía y Competitividad (España), German Research Foundation, Academy of Finland, Austrian Science Fund, Danish Research Council, The Scientific and Technological Research Council of Turkey, Ministry of Education, Science and Technological Development (Serbia), European Society for Evolutionary Biology, Wallace, Megan A., Coffman, Kelsey A., Gilbert, Clément, Ravindran, Sanjana, Albery, Gregory F., Abbott, Jessica, Argyridou, Eliza, Bellosta, Paola, Betancourt, Andrea J., Colinet, Hervé, Eric, Katarina, Glaser-Schmitt, Amanda, Grath, Sonja, Jelic, Mihailo, Kankare, Maaria, Kozeretska, Iryna, Loeschcke, Volker, Montchamp-Moreau, Catherine, Ometto, Lino, Onder, Banu Sebnem, Orengo, Dorcas J., Parsch, John, Pascual, Marta, Patenkovic, Aleksandra, Puerma, Eva, Ritchie, Michael G., Rota-Stabelli, Omar, Schou, Mads Fristrup, Serga, Svitlana, Stamenkovic-Radak, Marina, Tanaskovic, Marija, Savic Veselinovic, Marija, Vieira, Jorge, Vieira, Cristina P., Kapun, Martin, Flatt, Thomas, González Pérez, Josefa, Staubach, Fabian, and Obbard, Darren, J.

Abstract

Drosophila melanogaster is an important model for antiviral immunity in arthropods, but very few DNA viruses have been described from the family Drosophilidae. This deficiency limits our opportunity to use natural host-pathogen combinations in experimental studies, and may bias our understanding of the Drosophila virome. Here, we report fourteen DNA viruses detected in a metagenomic analysis of 6668 pool-sequenced Drosophila, sampled from forty-seven European locations between 2014 and 2016. These include three new nudiviruses, a new and divergent entomopoxvirus, a virus related to Leptopilina boulardi filamentous virus, and a virus related to Musca domestica salivary gland hypertrophy virus. We also find an endogenous genomic copy of galbut virus, a double-stranded RNA partitivirus, segregating at very low frequency. Remarkably, we find that Drosophila Vesanto virus, a small DNA virus previously described as a bidnavirus, may be composed of up to twelve segments and thus represent a new lineage of segmented DNA viruses. Two of the DNA viruses, Drosophila Kallithea nudivirus and Drosophila Vesanto virus are relatively common, found in 2 per cent or more of wild flies. The others are rare, with many likely to be represented by a single infected fly. We find that virus prevalence in Europe reflects the prevalence seen in publicly available datasets, with Drosophila Kallithea nudivirus and Drosophila Vesanto virus the only ones commonly detectable in public data from wild-caught flies and large population cages, and the other viruses being rare or absent. These analyses suggest that DNA viruses are at lower prevalence than RNA viruses in D.melanogaster, and may be less likely to persist in laboratory cultures. Our findings go some way to redressing an earlier bias toward RNA virus studies in Drosophila, and lay the foundation needed to harness the power of Drosophila as a model system for the study of DNA viruses.

Published
2021

5. Drosophila Evolution over Space and Time (DEST) - A New Population Genomics Resource

Author

European Society for Evolutionary Biology, Austrian Science Fund, European Research Council, Ministerio de Ciencia e Innovación (España), Swiss National Science Foundation, German Research Foundation, National Institutes of Health (US), Academy of Finland, Danish Natural Science Research Council, Israel Science Foundation, Ministry of Education, Science and Technological Development (Serbia), Natural Sciences and Engineering Research Council of Canada, Kapun, Martin, Nunez, Joaquin C. B., Bogaerts-Márquez, María, Murga-Moreno, Jesús, Paris, Margot, Outten, Joseph, Coronado, Marta, Tern, Courtney, Rota-Stabelli, Omar, Garcia Guerreiro, Maria Pilar, Casillas, Sònia, Orengo, Dorcas J., Puerma, Eva, Kankare, Maaria, Ometto, Lino, Loeschcke, Volker, Onder, Banu Sebnem, Abbott, Jessica, Schaeffer, Stephen W., Rajpurohit, Subhash, Behrman, Emily L., Schou, Mads Fristrup, Merritt, Thomas J. S., Lazzaro, Brian P., Glaser-Schmitt, Amanda, Argyridou, Eliza, Staubach, Fabian, Wang, Yun, Tauber, Eran, Serga, Svitlana, Fabian, Daniel K., Dyer, Kelly A., Wheat, Christopher, Parsch, John, Grath, Sonja, Savic Veselinovic, Marija, Stamenkovic-Radak, Marina, Jelic, Mihailo, Buendía-Ruíz, Antonio J., Gómez-Julián, M. Josefa, Espinosa-Jimenez, M. Luisa, Gallardo-Jiménez, Francisco D., Patenkovic, Aleksandra, Eric, Katarina, Tanaskovic, Marija, Ullastres, Ana, Guio, Lain, Merenciano, Miriam, Guirao-Rico, Sara, Horváth, Vivien, Obbard, Darren, J., Pasyukova, Elena G., Alatortsev, Vladimir E., Vieira, Cristina P., Vieira, Jorge, Torres, J. Roberto, Kozeretska, Iryna, Maistrenko, Oleksandr M., Montchamp-Moreau, Catherine, Mukha, Dmitry V., Machado, Heather E., Lamb, Keric, Paulo, Tânia, Yusuf, Leeban, Barbadilla, Antonio, Petrov, Dmitri A., Schmidt, Paul S., González Pérez, Josefa, Flatt, Thomas, Bergland, Alan O., European Society for Evolutionary Biology, Austrian Science Fund, European Research Council, Ministerio de Ciencia e Innovación (España), Swiss National Science Foundation, German Research Foundation, National Institutes of Health (US), Academy of Finland, Danish Natural Science Research Council, Israel Science Foundation, Ministry of Education, Science and Technological Development (Serbia), Natural Sciences and Engineering Research Council of Canada, Kapun, Martin, Nunez, Joaquin C. B., Bogaerts-Márquez, María, Murga-Moreno, Jesús, Paris, Margot, Outten, Joseph, Coronado, Marta, Tern, Courtney, Rota-Stabelli, Omar, Garcia Guerreiro, Maria Pilar, Casillas, Sònia, Orengo, Dorcas J., Puerma, Eva, Kankare, Maaria, Ometto, Lino, Loeschcke, Volker, Onder, Banu Sebnem, Abbott, Jessica, Schaeffer, Stephen W., Rajpurohit, Subhash, Behrman, Emily L., Schou, Mads Fristrup, Merritt, Thomas J. S., Lazzaro, Brian P., Glaser-Schmitt, Amanda, Argyridou, Eliza, Staubach, Fabian, Wang, Yun, Tauber, Eran, Serga, Svitlana, Fabian, Daniel K., Dyer, Kelly A., Wheat, Christopher, Parsch, John, Grath, Sonja, Savic Veselinovic, Marija, Stamenkovic-Radak, Marina, Jelic, Mihailo, Buendía-Ruíz, Antonio J., Gómez-Julián, M. Josefa, Espinosa-Jimenez, M. Luisa, Gallardo-Jiménez, Francisco D., Patenkovic, Aleksandra, Eric, Katarina, Tanaskovic, Marija, Ullastres, Ana, Guio, Lain, Merenciano, Miriam, Guirao-Rico, Sara, Horváth, Vivien, Obbard, Darren, J., Pasyukova, Elena G., Alatortsev, Vladimir E., Vieira, Cristina P., Vieira, Jorge, Torres, J. Roberto, Kozeretska, Iryna, Maistrenko, Oleksandr M., Montchamp-Moreau, Catherine, Mukha, Dmitry V., Machado, Heather E., Lamb, Keric, Paulo, Tânia, Yusuf, Leeban, Barbadilla, Antonio, Petrov, Dmitri A., Schmidt, Paul S., González Pérez, Josefa, Flatt, Thomas, and Bergland, Alan O.

Abstract

Drosophila melanogaster is a leading model in population genetics and genomics, and a growing number of whole-genome datasets from natural populations of this species have been published over the last years. A major challenge is the integration of disparate datasets, often generated using different sequencing technologies and bioinformatic pipelines, which hampers our ability to address questions about the evolution of this species. Here we address these issues by developing a bioinformatics pipeline that maps pooled sequencing (Pool-Seq) reads from D. melanogaster to a hologenome consisting of fly and symbiont genomes and estimates allele frequencies using either a heuristic (PoolSNP) or a probabilistic variant caller (SNAPE-pooled). We use this pipeline to generate the largest data repository of genomic data available for D. melanogaster to date, encompassing 271 previously published and unpublished population samples from over 100 locations in > 20 countries on four continents. Several of these locations have been sampled at different seasons across multiple years. This dataset, which we call Drosophila Evolution over Space and Time (DEST), is coupled with sampling and environmental meta-data. A web-based genome browser and web portal provide easy access to the SNP dataset. We further provide guidelines on how to use Pool-Seq data for model-based demographic inference. Our aim is to provide this scalable platform as a community resource which can be easily extended via future efforts for an even more extensive cosmopolitan dataset. Our resource will enable population geneticists to analyze spatio-temporal genetic patterns and evolutionary dynamics of D. melanogaster populations in unprecedented detail.

Published
2021

6. Temperature, rainfall and wind variables underlie environmental adaptation in natural populations of Drosophila melanogaster

Author

European Society for Evolutionary Biology, European Research Council, European Drosophila Population Genomics Consortium, Bogaerts-Márquez, María, Guirao-Rico, Sara, Gautier, Mathieu, González Pérez, Josefa, European Society for Evolutionary Biology, European Research Council, European Drosophila Population Genomics Consortium, Bogaerts-Márquez, María, Guirao-Rico, Sara, Gautier, Mathieu, and González Pérez, Josefa

Abstract

While several studies in a diverse set of species have shed light on the genes underlying adaptation, our knowledge on the selective pressures that explain the observed patterns lags behind. Drosophila melanogaster is a valuable organism to study environmental adaptation because this species originated in Southern Africa and has recently expanded worldwide, and also because it has a functionally well-annotated genome. In this study, we aimed to decipher which environmental variables are relevant for adaptation of D. melanogaster natural populations in Europe and North America. We analysed 36 whole-genome pool-seq samples of D. melanogaster natural populations collected in 20 European and 11 North American locations. We used the BayPass software to identify single nucleotide polymorphisms (SNPs) and transposable elements (TEs) showing signature of adaptive differentiation across populations, as well as significant associations with 59 environmental variables related to temperature, rainfall, evaporation, solar radiation, wind, daylight hours, and soil type. We found that in addition to temperature and rainfall, wind related variables are also relevant for D. melanogaster environmental adaptation. Interestingly, 23%–51% of the genes that showed significant associations with environmental variables were not found overly differentiated across populations. In addition to SNPs, we also identified 10 reference transposable element insertions associated with environmental variables. Our results showed that genome-environment association analysis can identify adaptive genetic variants that are undetected by population differentiation analysis while also allowing the identification of candidate environmental drivers of adaptation.

Published
2021

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

Author

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, and González Pérez, Josefa

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.

Published
2020

8. Are females in good condition better able to cope with costly males?

Author

Australian Research Council, European Society for Evolutionary Biology, Junta de Andalucía, Iglesias-Carrasco, Maider, Jennions, Michael D., Zajitschek, Susanne, Head, Megan L., Australian Research Council, European Society for Evolutionary Biology, Junta de Andalucía, Iglesias-Carrasco, Maider, Jennions, Michael D., Zajitschek, Susanne, and Head, Megan L.

Abstract

The costs of mating for a female might depend on both her phenotype and that of her mate. Sexually antagonistic male traits that negatively affect females are often condition dependent, so a male's rearing environment can affect the costs he imposes on his mate. Likewise, a female's ability to resist male-imposed costs might be condition dependent. We experimentally manipulated female and male body conditions in the seed beetle Callosobruchus maculatus by rearing larvae on a good or poor quality diet. We then tested whether the cost of mating for a female (measured as copulation behaviors associated with sexual conflict as well as her fecundity and survival) depended on her and/or her mate's body condition. As expected, females in better condition laid more eggs and lived longer, indicating higher fitness. More interestingly, females that mated with males in better condition had shorter copulations and started to kick sooner. Both results are potentially indicative of greater sexual conflict. We suggest that these changes in mating behavior might be driven by the higher toxicity of ejaculates of males that are in better condition. Crucially, however, the lack of any interaction between male and female conditions for the variables measured suggests that any increase in the costs of mating with a male in better condition is not ameliorated by the female's own condition.

Published
2018

9. Prospection and dispersal : fragmentation limits habitat choice ability

Author

UCL - SST/ELI/ELIB - Biodiversity, Laurent, Estelle, Schtickzelle, Nicolas, Jacob, Staffan, the 2017 Congress of the European Society for Evolutionary Biology, UCL - SST/ELI/ELIB - Biodiversity, Laurent, Estelle, Schtickzelle, Nicolas, Jacob, Staffan, and the 2017 Congress of the European Society for Evolutionary Biology

Published
2017

10. Symbiosis between Wolbachia and the Neotropical termite Cavitermes tuberosus

Author

16th Congress of the European Society for Evolutionary Biology (20-25 August 2017: Groningen, the Netherlands), Hellemans, Simon, Kaczmarek, Nicolas, Roisin, Yves, Fournier, Denis, 16th Congress of the European Society for Evolutionary Biology (20-25 August 2017: Groningen, the Netherlands), Hellemans, Simon, Kaczmarek, Nicolas, Roisin, Yves, and Fournier, Denis

Abstract

info:eu-repo/semantics/nonPublished

Published
2017

12. Natural hybridization in the annual plant genus Rhinanthus: from populations to species

Author

UCL - SST/ELI/ELIB - Biodiversity, Wesselingh, Renate A., Ducarme, Véronique, Vrancken, Jérome, 3th Congress of the European Society for Evolutionary Biology, UCL - SST/ELI/ELIB - Biodiversity, Wesselingh, Renate A., Ducarme, Véronique, Vrancken, Jérome, and 3th Congress of the European Society for Evolutionary Biology

Published
2011

13. Sexually selected traits in butterflies : canalization in the expression of a pleiotropic mutation ?

Author

UCL - SST/ELI/ELIB - Biodiversity, Nieberding, Caroline M., San Martin Y Gomez, Gilles, Saenko , Suzanne, V., Brakefield, Paul, M., The 13th Congress of The European Society for Evolutionary Biology (ESEB), UCL - SST/ELI/ELIB - Biodiversity, Nieberding, Caroline M., San Martin Y Gomez, Gilles, Saenko , Suzanne, V., Brakefield, Paul, M., and The 13th Congress of The European Society for Evolutionary Biology (ESEB)

Published
2011

14. Has sexual selection on olfactive communication driven diversification in the African butterfly genus Bicyclus ?

Author

UCL - SST/ELI/ELIB - Biodiversity, Bacquet, Paul, Brattström, Oskar, Fischer, Klaus, Andersson, Jimmy, Bang, Joakim, Hedenström, Erik, Lofstedt , Christer, Brakefield, Paul, M., Nieberding, Caroline M., The 12th Congress of The European Society for Evolutionary Biology (ESEB), UCL - SST/ELI/ELIB - Biodiversity, Bacquet, Paul, Brattström, Oskar, Fischer, Klaus, Andersson, Jimmy, Bang, Joakim, Hedenström, Erik, Lofstedt , Christer, Brakefield, Paul, M., Nieberding, Caroline M., and The 12th Congress of The European Society for Evolutionary Biology (ESEB)

Published
2009

15. Host biogeography matters to decipher co-differentiation with their parasites

Author

UCL - SST/ELI/ELIB - Biodiversity, Nieberding, Caroline M., Durette-Desset, Marie-Claude, Vanderpoorten, Alain, Casanova, Joan Carles, Ribas, Alexis, Deffontaine., Valérie, Feliu, Carlos, Morand , Serge, Libois, Roland, Michaux , Johan René, The 11th Congress of The European Society for Evolutionary Biology (ESEB), UCL - SST/ELI/ELIB - Biodiversity, Nieberding, Caroline M., Durette-Desset, Marie-Claude, Vanderpoorten, Alain, Casanova, Joan Carles, Ribas, Alexis, Deffontaine., Valérie, Feliu, Carlos, Morand , Serge, Libois, Roland, Michaux , Johan René, and The 11th Congress of The European Society for Evolutionary Biology (ESEB)

Published
2007

16. Comparative phylogeography of Apodemus sylvaticus (Rodentia: Muridae) and one of its direct and specific endoparasites: Heligmosomoides polygyrus (Nematoda: Heligmosomoïdea), in the Western Palearctic region (Poster)

Author

UCL - SST/ELI/ELIB - Biodiversity, Nieberding, Caroline M., Morand, Serge, Libois, Roland, Michaux , Johan René, IXth Congress of the European Society for Evolutionary Biology (ESEBIX), UCL - SST/ELI/ELIB - Biodiversity, Nieberding, Caroline M., Morand, Serge, Libois, Roland, Michaux , Johan René, and IXth Congress of the European Society for Evolutionary Biology (ESEBIX)

Published
2003

17. Genetic population structure of the inquiline parasite ant Plagiolepis xene

Author

Congress of the european society for evolutionary biology (IX: 2003: Leeds, United Kingdom), Trontti, Kalevi, Aron, Serge, Sundström, Liselotte, Congress of the european society for evolutionary biology (IX: 2003: Leeds, United Kingdom), Trontti, Kalevi, Aron, Serge, and Sundström, Liselotte

Abstract

info:eu-repo/semantics/nonPublished

Published
2003

18. Genetic consequences of population turnover in a tree metapopulation

Author

UCL - SST/ELI/ELIA - Agronomy, Raspé, Olivier, Jacquemart, Anne-Laure, VIIIth Congress of the European Society for Evolutionary Biology, UCL - SST/ELI/ELIA - Agronomy, Raspé, Olivier, Jacquemart, Anne-Laure, and VIIIth Congress of the European Society for Evolutionary Biology

Published
2001

19. Direct and indirect gene flow estimates in populations of Chamaecrista and Centaurea

Author

Congress of the european society for evolutionary biology (8: 20-25 août 2001: Aarhus, Danemark), Hardy, Olivier J., Fenster, C. B., Vekemans, Xavier, Colas, B., Olivieri, I., Congress of the european society for evolutionary biology (8: 20-25 août 2001: Aarhus, Danemark), Hardy, Olivier J., Fenster, C. B., Vekemans, Xavier, Colas, B., and Olivieri, I.

Abstract

info:eu-repo/semantics/nonPublished

Published
2001

20. Spatial autocorrelation of quantitative characters and genetic markers within a natural population of Centaurea jacea (Asteraceae)

Author

Congress of the european society for evolutionary biology (7: 23-28 août 1999: Barcelone, Espagne), Hardy, Olivier J., Vanderhoeven, Sonia, Vekemans, Xavier, Meerts, Pierre Jacques, Congress of the european society for evolutionary biology (7: 23-28 août 1999: Barcelone, Espagne), Hardy, Olivier J., Vanderhoeven, Sonia, Vekemans, Xavier, and Meerts, Pierre Jacques

Abstract

info:eu-repo/semantics/nonPublished

Published
1999

22. The discovery, distribution, and diversity of DNA viruses associated with Drosophila melanogaster in Europe

Author

Omar Rota-Stabelli, Kelsey A. Coffman, Marija Tanasković, Cristina P. Vieira, Andrea J. Betancourt, Gregory F. Albery, Amanda Glaser-Schmitt, Martin Kapun, Catherine Montchamp-Moreau, Thomas Flatt, Iryna Kozeretska, Clément Gilbert, Svitlana Serga, Mads Fristrup Schou, Aleksandra Patenkovic, Katarina Eric, Josefa González, Marta Pascual, Michael G. Ritchie, Paola Bellosta, Darren J. Obbard, Megan A. Wallace, Dorcas J. Orengo, Marija Savic Veselinovic, Eva Puerma, Jorge Vieira, Marina Stamenkovic-Radak, Banu Sebnem Onder, Eliza Argyridou, Jessica K. Abbott, Maaria Kankare, Mihailo Jelić, Sanjana Ravindran, Sonja Grath, John Parsch, Hervé Colinet, Volker Loeschcke, Fabian Staubach, Lino Ometto, University of Edinburgh, University of Georgia [USA], Evolution, génomes, comportement et écologie (EGCE), Institut de Recherche pour le Développement (IRD)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Georgetown University [Washington] (GU), Lund University [Lund], Université de Rennes (UR), Centre National de la Recherche Scientifique (CNRS), Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Université de Fribourg = University of Fribourg (UNIFR), Consejo Superior de Investigaciones Científicas [Spain] (CSIC), University of Freiburg [Freiburg], M.W. was supported by the UK Natural Environmental Research Council through the E3 doctoral training programme (NE/L002558/1), and S.R. was supported by Wellcome Trust PhD programme (108905/Z/15/Z). A.B. received funding from BBSRC (grant number BB/P00685X/1). T.F. received funding from Swiss National Science Foundation (grant numbers 31003A-182262, PP00P3_165836, and PP00P3_133641/1). C.G. received funding from Agence Nationale de la Recherche (grant number ANR-15-CE32-0011-01). J.G. received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (H2020-ERC-2014-CoG-647900) and from the Fundación Española para la Ciencia y la Tecnologia-Ministerio de Economía y Competitividad (FCT-15-10187). S.G. received funding from Deutsche Forschungsgemeinschaft (grant number GR 4495/2). M.K. received funding from Academy of Finland projects (268214 and 322980). M.K. received funding from Austrian Science Fund (FWF, grant number P32275). V.L. received funding from Danish Research council for natural Sciences (FNU, grant number 4002-00113B). B.S.O. received funding from the Scientific and Technological Research Council of Turkey (TUBITAK, grant number 214Z238). J.P. received funding from Deutsche Forschungsgemeinschaft (grant number PA 903/8). M.S.-R., M.S.V., and M.J. received funding from the Ministry of Education, Science and Technological Development of the Republic of Serbia (grant number 451-03-68/2020-14/200178). F.S. received funding from Deutsche Forschungsgemeinschaft (grant number STA1154/4-1, Projektnummer 408908608). M.T., A.P., and K.E. received funding from the Ministry of Education, Science and Technological Development of the Republic of Serbia (grant number 451-03-68/2020-14/200007). The DrosEU consortium has been funded by a Special Topics Network (STN) grant by the European Society of Evolutionary Biology (ESEB)., ANR-15-CE32-0011,TransVir,Mécanismes et fréquence des transferts horizontaux de matériel génétique entre animaux et virus(2015), European Project: 647900,H2020,ERC-2014-CoG,DROSADAPTATION(2016), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES), Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), University of Fribourg, Natural Environment Research Council (UK), Wellcome Trust, Biotechnology and Biological Sciences Research Council (UK), Swiss National Science Foundation, Agence Nationale de la Recherche (France), European Commission, European Research Council, Fundación Española para la Ciencia y la Tecnología, Ministerio de Economía y Competitividad (España), German Research Foundation, Academy of Finland, Austrian Science Fund, Danish Research Council, The Scientific and Technological Research Council of Turkey, Ministry of Education, Science and Technological Development (Serbia), European Society for Evolutionary Biology, University of St Andrews. School of Biology, University of St Andrews. Centre for Biological Diversity, University of St Andrews. Institute of Behavioural and Neural Sciences, and University of St Andrews. St Andrews Bioinformatics Unit

Subjects
Galbut virus, virukset, [SDV]Life Sciences [q-bio], viruses, densovirus, Nudivirus, 0302 clinical medicine, Drosòfila, DNA virus, health care economics and organizations, Genetics, 0303 health sciences, biology, AcademicSubjects/SCI02285, 3. Good health, Drosophila, Drosophila melanogaster, galbut virus, QR355 Virology, Research Article, adintovirus, Virus ADN, Filamentous virus, mahlakärpäset, Settore BIO/18 - GENETICA, Microbiology, Virus, 03 medical and health sciences, Virology, Drosophilidae, bidnavirus, nudivirus, Densovirus, Human virome, AcademicSubjects/MED00860, 030304 developmental biology, MCC, QR355, denosovirus, Bidnavirus, Endogenous viral element, fungi, Adintovirus, AcademicSubjects/SCI01130, DAS, RNA virus, biology.organism_classification, AC, filamentous virus, endogenous viral element, DNA viruses, 030217 neurology & neurosurgery
Abstract

Drosophila melanogaster is an important model for antiviral immunity in arthropods, but very few DNA viruses have been described from the family Drosophilidae. This deficiency limits our opportunity to use natural host-pathogen combinations in experimental studies, and may bias our understanding of the Drosophila virome. Here, we report fourteen DNA viruses detected in a metagenomic analysis of 6668 pool-sequenced Drosophila, sampled from forty-seven European locations between 2014 and 2016. These include three new nudiviruses, a new and divergent entomopoxvirus, a virus related to Leptopilina boulardi filamentous virus, and a virus related to Musca domestica salivary gland hypertrophy virus. We also find an endogenous genomic copy of galbut virus, a double-stranded RNA partitivirus, segregating at very low frequency. Remarkably, we find that Drosophila Vesanto virus, a small DNA virus previously described as a bidnavirus, may be composed of up to twelve segments and thus represent a new lineage of segmented DNA viruses. Two of the DNA viruses, Drosophila Kallithea nudivirus and Drosophila Vesanto virus are relatively common, found in 2 per cent or more of wild flies. The others are rare, with many likely to be represented by a single infected fly. We find that virus prevalence in Europe reflects the prevalence seen in publicly available datasets, with Drosophila Kallithea nudivirus and Drosophila Vesanto virus the only ones commonly detectable in public data from wild-caught flies and large population cages, and the other viruses being rare or absent. These analyses suggest that DNA viruses are at lower prevalence than RNA viruses in D.melanogaster, and may be less likely to persist in laboratory cultures. Our findings go some way to redressing an earlier bias toward RNA virus studies in Drosophila, and lay the foundation needed to harness the power of Drosophila as a model system for the study of DNA viruses., M.W. was supported by the UK Natural Environmental Research Council through the E3 doctoral training programme (NE/L002558/1), and S.R. was supported by Wellcome Trust PhD programme (108905/Z/15/Z). A.B. received funding from BBSRC (grant number BB/P00685X/1). T.F. received funding from Swiss National Science Foundation (grant numbers 31003A-182262, PP00P3_165836, and PP00P3_133641/1). C.G. received funding from Agence Nationale de la Recherche (grant number ANR-15-CE32-0011-01). J.G. received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (H2020-ERC-2014-CoG-647900) and from the Fundación Española para la Ciencia y la Tecnologia-Ministerio de Economía y Competitividad (FCT-15-10187). S.G. received funding from Deutsche Forschungsgemeinschaft (grant number GR 4495/2). M.K. received funding from Academy of Finland projects (268214 and 322980). M.K. received funding from Austrian Science Fund (FWF; grant number P32275). V.L. received funding from Danish Research council for natural Sciences (FNU; grant number 4002-00113B). B.S.O. received funding from the Scientific and Technological Research Council of Turkey (TUBITAK; grant number 214Z238). J.P. received funding from Deutsche Forschungsgemeinschaft (grant number PA 903/8). M.S.-R., M.S.V., and M.J. received funding from the Ministry of Education, Science and Technological Development of the Republic of Serbia (grant number 451-03-68/2020-14/200178). F.S. received funding from Deutsche Forschungsgemeinschaft (grant number STA1154/4-1; Projektnummer 408908608). M.T., A.P., and K.E. received funding from the Ministry of Education, Science and Technological Development of the Republic of Serbia (grant number 451-03-68/2020-14/200007). The DrosEU consortium has been funded by a Special Topics Network (STN) grant by the European Society of Evolutionary Biology (ESEB).

Published
2021

23. The genomic basis of copper tolerance in Drosophila is shaped by a complex interplay of regulatory and environmental factors

Author

Llewellyn Green, Marta Coronado-Zamora, Santiago Radío, Gabriel E. Rech, Judit Salces-Ortiz, Josefa González, European Research Council, Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), European Commission, and European Society for Evolutionary Biology

Subjects
Gut physiology, Physiology, Structural Biology, Cell Biology, Plant Science, General Agricultural and Biological Sciences, Transposable elements, Functional validation, Transcriptomics, General Biochemistry, Genetics and Molecular Biology, Ecology, Evolution, Behavior and Systematics, Developmental Biology, Biotechnology
Abstract

Escalation in industrialization and anthropogenic activity have resulted in an increase of pollutants released into the environment. Of these pollutants, heavy metals such as copper are particularly concerning due to their bio-accumulative nature. Due to its highly heterogeneous distribution and its dual nature as an essential micronutrient and toxic element, the genetic basis of copper tolerance is likely shaped by a complex interplay of genetic and environmental factors., This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (H2020-ERC-2014-CoG-647900). S. R. was funded by the MICINN/FSE/AEI (PRE2018-084755). J.S-O was funded by a Juan de la Cierva-Formación fellowship (FJCI-2016-28380). The DrosEU consortium is funded by an ESEB Special Topic Network.

Published
2022

24. Temperature, rainfall and wind variables underlie environmental adaptation in natural populations of Drosophila melanogaster

Author

María Bogaerts-Márquez, Sara Guirao-Rico, Mathieu Gautier, Josefa González, European Society for Evolutionary Biology, European Research Council, European Drosophila Population Genomics Consortium, Universitat Pompeu Fabra [Barcelona] (UPF), Institute of Evolutionary Biology (UPF-CSIC), CEXS-UPF-PRBB, European Drosophila Population Genomics Consortium (DrosEU), Centre de Biologie pour la Gestion des Populations (UMR CBGP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université de Montpellier (UM)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), European Project: 647900,H2020,ERC-2014-CoG,DROSADAPTATION(2016), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)

Subjects
0106 biological sciences, 0301 basic medicine, Rain, [SDV]Life Sciences [q-bio], Genome, Insect, Population, Single-nucleotide polymorphism, genome‐environment, Wind, Biology, 010603 evolutionary biology, 01 natural sciences, Genome, Africa, Southern, 03 medical and health sciences, genetic adaptation, Genetics, Animals, education, Allele frequency, Ecology, Evolution, Behavior and Systematics, Organism, Genetic association, education.field_of_study, Temperature, Genome-environment, 15. Life on land, biology.organism_classification, Adaptation, Physiological, Europe, 030104 developmental biology, Drosophila melanogaster, 13. Climate action, Evolutionary biology, North America, DNA Transposable Elements, Genetic adaptation, Original Article, ORIGINAL ARTICLES, Adaptation, genome-environment, transposable elements, Transposable elements, allele frequency, Ecological Genomics
Abstract

While several studies in a diverse set of species have shed light on the genes underlying adaptation, our knowledge on the selective pressures that explain the observed patterns lags behind. Drosophila melanogaster is a valuable organism to study environmental adaptation because this species originated in Southern Africa and has recently expanded worldwide, and also because it has a functionally well-annotated genome. In this study, we aimed to decipher which environmental variables are relevant for adaptation of D. melanogaster natural populations in Europe and North America. We analysed 36 whole-genome pool-seq samples of D. melanogaster natural populations collected in 20 European and 11 North American locations. We used the BayPass software to identify single nucleotide polymorphisms (SNPs) and transposable elements (TEs) showing signature of adaptive differentiation across populations, as well as significant associations with 59 environmental variables related to temperature, rainfall, evaporation, solar radiation, wind, daylight hours, and soil type. We found that in addition to temperature and rainfall, wind related variables are also relevant for D. melanogaster environmental adaptation. Interestingly, 23%–51% of the genes that showed significant associations with environmental variables were not found overly differentiated across populations. In addition to SNPs, we also identified 10 reference transposable element insertions associated with environmental variables. Our results showed that genome-environment association analysis can identify adaptive genetic variants that are undetected by population differentiation analysis while also allowing the identification of candidate environmental drivers of adaptation., We acknowledge the support from the European Drosophila Population Genomics Consortium (DrosEU), which is funded by a Special Topics Network (STN) grant from the European Society of Evolutionary Biology (ESEB). We also thank Thomas Flatt for comments on the manuscript. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (H2020-ERC-2014-CoG-647900).

Published
2021

25. Drosophila Evolution over Space and Time (DEST) : A New Population Genomics Resource

Author

Sara Guirao-Rico, Jessica K. Abbott, Lain Guio, Amanda Glaser-Schmitt, J. Roberto Torres, Marina Stamenkovic-Radak, Subhash Rajpurohit, Aleksandra Patenkovic, Darren J. Obbard, Jesús Murga-Moreno, Joaquin C. B. Nunez, Daniel K. Fabian, D. V. Mukha, Courtney Tern, Martin Kapun, Sonja Grath, Banu Sebnem Onder, Eva Puerma, María Bogaerts-Márquez, Sònia Casillas, Brian P. Lazzaro, Marija Tanasković, Oleksandr M. Maistrenko, Anna Ullastres, Catherine Montchamp-Moreau, Joseph Outten, M. Josefa Gómez-Julián, Stephen W. Schaeffer, Jorge Vieira, Vladimir E. Alatortsev, Yun Wang, Francisco D. Gallardo-Jiménez, Mihailo Jelić, Vivien Horváth, Elena Pasyukova, Eran Tauber, Thomas J.S. Merritt, Antonio Barbadilla, Dorcas J. Orengo, Mads Fristrup Schou, Miriam Merenciano, Josefa González, Keric Lamb, Omar Rota-Stabelli, Marta Coronado-Zamora, Tânia F. Paulo, Cristina P. Vieira, Marija Savic Veselinovic, Lino Ometto, Maria Pilar Garcia Guerreiro, Margot Paris, Emily L. Behrman, Thomas Flatt, Antonio J. Buendía-Ruíz, Iryna Kozeretska, Svitlana Serga, John Parsch, Kelly A. Dyer, Leeban Yusuf, Paul S. Schmidt, M. Luisa Espinosa-Jimenez, Volker Loeschcke, Heather E. Machado, Fabian Staubach, Katarina Eric, Eliza Argyridou, Alan O. Bergland, Maaria Kankare, Dmitri A. Petrov, Christopher W. Wheat, University of St Andrews. School of Biology, European Society for Evolutionary Biology, Austrian Science Fund, European Research Council, Ministerio de Ciencia e Innovación (España), Swiss National Science Foundation, German Research Foundation, National Institutes of Health (US), Academy of Finland, Danish Natural Science Research Council, Israel Science Foundation, Ministry of Education, Science and Technological Development (Serbia), and Natural Sciences and Engineering Research Council of Canada

Subjects
0106 biological sciences, drosophilia melanogaster, demography, QH301 Biology, adaptation, AcademicSubjects/SCI01180, 01 natural sciences, Gene Frequency, media_common, 0303 health sciences, European research, bioinformatiikka, Genomics, 3rd-DAS, genomiikka, New population, Resources, Drosophila melanogaster, SNPs, evolution, population genomics, populaatiogenetiikka, Christian ministry, Corrigendum, Resource (biology), Evolution, evoluutio, Library science, QH426 Genetics, Biology, 010603 evolutionary biology, 03 medical and health sciences, QH301, Genetics, media_common.cataloged_instance, Animals, European union, Adaptation, Molecular Biology, QH426, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, Demography, AcademicSubjects/SCI01130, banaanikärpänen, NIS, Genetics, Population, ComputingMethodologies_PATTERNRECOGNITION, Research council, MCP, perimä, Metagenomics, Population genomics
Abstract

Drosophila melanogaster is a leading model in population genetics and genomics, and a growing number of whole-genome datasets from natural populations of this species have been published over the last years. A major challenge is the integration of disparate datasets, often generated using different sequencing technologies and bioinformatic pipelines, which hampers our ability to address questions about the evolution of this species. Here we address these issues by developing a bioinformatics pipeline that maps pooled sequencing (Pool-Seq) reads from D. melanogaster to a hologenome consisting of fly and symbiont genomes and estimates allele frequencies using either a heuristic (PoolSNP) or a probabilistic variant caller (SNAPE-pooled). We use this pipeline to generate the largest data repository of genomic data available for D. melanogaster to date, encompassing 271 previously published and unpublished population samples from over 100 locations in > 20 countries on four continents. Several of these locations have been sampled at different seasons across multiple years. This dataset, which we call Drosophila Evolution over Space and Time (DEST), is coupled with sampling and environmental meta-data. A web-based genome browser and web portal provide easy access to the SNP dataset. We further provide guidelines on how to use Pool-Seq data for model-based demographic inference. Our aim is to provide this scalable platform as a community resource which can be easily extended via future efforts for an even more extensive cosmopolitan dataset. Our resource will enable population geneticists to analyze spatio-temporal genetic patterns and evolutionary dynamics of D. melanogaster populations in unprecedented detail., DrosEU is funded by a Special Topic Networks (STN) grant from the European Society for Evolutionary Biology (ESEB). MK (M. Kapun) was supported by the Austrian Science Foundation (grant no. FWF P32275); JG by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (H2020-ERC-2014-CoG-647900) and by the Spanish Ministry of Science and Innovation (BFU-2011-24397); TF by the Swiss National Science Foundation (SNSF grants PP00P3_133641, PP00P3_165836, and 31003A_182262) and a Mercator Fellowship from the German Research Foundation (DFG), held as a EvoPAD Visiting Professor at the Institute for Evolution and Biodiversity, University of Münster; AOB by the National Institutes of Health (R35 GM119686); MK (M. Kankare) by Academy of Finland grant 322980; VL by Danish Natural Science Research Council (FNU) grant 4002-00113B; FS Deutsche Forschungsgemeinschaft (DFG) grant STA1154/4-1, Project 408908608; JP by the Deutsche Forschungsgemeinschaft Projects 274388701 and 347368302; AU by FPI fellowship (BES-2012-052999); ET Israel Science Foundation (ISF) grant 1737/17; MSV, MSR and MJ by a grant from the Ministry of Education, Science and Technological Development of the Republic of Serbia (451-03-68/2020-14/200178); AP, KE and MT by a grant from the Ministry of Education, Science and Technological Development of the Republic of Serbia (451-03-68/2020-14/200007); and TM NSERC grant RGPIN-2018-05551.

Published
2021

26. Selection on ancestral genetic variation fuels repeated ecotype formation in bottlenose dolphins

Author

Benoit Simon-Bouhet, Michael C. Fontaine, Andrew D. Foote, Simon Berrow, Kelly M. Roberston, Ramon Fallon, Marco Galimberti, Frederick I. Archer, Marie Louis, Daniel Wegmann, Patricia E. Rosel, Milaja Nykänen, Oscar E. Gaggiotti, Joanne O'Brien, Andrew Brownlow, University of St Andrews. Scottish Oceans Institute, University of St Andrews. Marine Alliance for Science & Technology Scotland, University of St Andrews. School of Biology, University of St Andrews. St Andrews Bioinformatics Unit, 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]), Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC), La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Scottish Oceans Institute, University of St Andrews, East Sands, St Andrews KY16 8LB, Scotland, UK, Centre d’Etudes Biologiques de Chize, La Rochelle Université, 17000 La Rochelle, France, Groningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen, PO Box 11103 CC, Groningen, Netherlands, Globe Institute, University of Copenhagen, Øster Voldgade 5, 1350 Copenhagen, Denmark, Department of Biology, University of Fribourg, Fribourg 1700, Switzerland, Swiss Institute of Bioinformatics, Fribourg 1700, Switzerland, National Marine Fisheries Service, Southwest Fisheries Science Center, NOAA, 8901 La Jolla Shores Drive, La Jolla, CA 92037, USA, Scripps Institution of Oceanography, UC San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA, Irish Whale and Dolphin Group, Kilrush, Co Clare, Ireland, Marine and Freshwater Research Centre, Department of Natural Sciences, School of Science and Computing, Galway-Mayo Institute of Technology, Dublin Road, H91 T8NW Galway, Ireland, Scottish Marine Animal Stranding Scheme, Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK, School of Medicine, University of St Andrews, North Haugh, St Andrews, Fife KY16 9TF, Scotland, UK, University College Cork, Cork, Ireland, National Marine Fisheries Service, Southeast Fisheries Science Center, NOAA, 646 Cajundome Boulevard, Lafayette, LA 70506, USA, MIVEGEC, Université de Montpellier, CNRS, IRD, Montpellier, France, Centre de Recherche en Écologie et Évolution de la Santé (CREES), Montpellier, France, Molecular Ecology and Evolution Bangor, Environment Centre Wales, School of Natural Sciences, Bangor University, Bangor, UK, Department of Natural History, University Museum, Norwegian University of Science and Technology (NTNU), Erling Skakkes gate 47A, Trondheim 7012, Norway, Funding for sequencing was provided by the Total Foundation awarded to M.L., the University of Groningen awarded to M.C.F., and the Marine Alliance for Science and Technology for Scotland and The Russell Trust awarded to O.E.G. M.L. was supported by a Fyssen Fellowship, Total Foundation, Systematics Research Fund, Godfrey Hewitt mobility award from the European Society for Evolutionary Biology (ESEB), People’s Trust for Endangered Species, Lerner-Gray Grants for Marine Research from the American Museum of Natural History, and the University of St Andrews. M.G. was funded through a Swiss National Science Foundation grant (31003A_173062) to D.W. A.D.F. was supported by European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement no. 663830. Bioinformatics and computational biology analyses were supported by the University of St Andrews Bioinformatics Unit, which is funded by a Wellcome Trust ISSF award (grant 105621/Z/14/Z). Author contributions: M.L. initiated the study. M.L., M.C.F., A.D.F., and O.E.G. conceived the analyses. F.A., S.B., A.B., J.O., K.M.R., and P.E.R. collected the samples. K.M.R., P.E.R., and M.C.F. performed the DNA extractions. M.L., M.G., M.N., R.F., B.S.-B., M.C.F., A.D.F., and O.E.G. ran the analyses, and A.D.F., O.E.G., and M.C.F. provided supervision. M.L. wrote the manuscript with input from all coauthors. Competing interests: The authors declare that they have no competing interests. Data and materials availability: Biosample and SRA accession numbers are provided in table S1, data are part of the Bioproject PRJNA724031: www.ncbi.nlm.nih.gov/bioproject/724031. Input files are available on the DataSuds repository: https://doi.org/10.23708/Q2MYHE. Custom codes to generate the input files for the ancient tract analysis can be found at https://github.com/besibo/GhostAncestry., and Fontaine lab

Subjects
0106 biological sciences, QH301 Biology, QH426 Genetics, Biology, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 010603 evolutionary biology, 01 natural sciences, 03 medical and health sciences, QH301, Marine and Freshwater Research Centre, Specialization (functional), Genetic variation, 14. Life underwater, QH426, Selection (genetic algorithm), 030304 developmental biology, GC, 0303 health sciences, Evolutionary Biology, Multidisciplinary, [SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE], Earth, Environmental, Ecological, and Space Sciences, Ecotype, fungi, SciAdv r-articles, DAS, Habitat, Evolutionary biology, GC Oceanography, Adaptation, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Research Article
Abstract

Description, Old genetic variants were key to the ability of bottlenose dolphins to repeatedly adapt to coastal waters across the world., Studying repeated adaptation can provide insights into the mechanisms allowing species to adapt to novel environments. Here, we investigate repeated evolution driven by habitat specialization in the common bottlenose dolphin. Parapatric pelagic and coastal ecotypes of common bottlenose dolphins have repeatedly formed across the oceans. Analyzing whole genomes of 57 individuals, we find that ecotype evolution involved a complex reticulated evolutionary history. We find parallel linked selection acted upon ancient alleles in geographically distant coastal populations, which were present as standing genetic variation in the pelagic populations. Candidate loci evolving under parallel linked selection were found in ancient tracts, suggesting recurrent bouts of selection through time. Therefore, despite the constraints of small effective population size and long generation time on the efficacy of selection, repeated adaptation in long-lived social species can be driven by a combination of ecological opportunities and selection acting on ancestral standing genetic variation.

Published
2021

27. Size-dependent harvesting modifies the trophic niche of medaka Oryzias latipes in a mesocosm experiment

Author

Evangelista, C, Dupeu, J, Sandkjenn, J, Diaz Pauli, B, Herland, A, Meriguet, J, Vøllestad, L, Edeline, Eric, Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences [Oslo], Faculty of Mathematics and Natural Sciences [Oslo], University of Oslo (UiO)-University of Oslo (UiO)-Faculty of Mathematics and Natural Sciences [Oslo], University of Oslo (UiO)-University of Oslo (UiO), Institut d'écologie et des sciences de l'environnement de Paris (iEES), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Recherche Agronomique (INRA), Institut de biologie de l'Ecole Normale Supérieure (IBENS), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Écologie et santé des écosystèmes (ESE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-INSTITUT AGRO Agrocampus Ouest, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), European Society for Evolutionary Biology, Edeline, Eric, Institut National de la Recherche Agronomique (INRA)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-École normale supérieure - Paris (ENS Paris), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-AGROCAMPUS OUEST, AGROCAMPUS OUEST, and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)

Subjects
[SDE] Environmental Sciences, [SDE]Environmental Sciences, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2019

28. Selection for small size affects the pace-of-life syndrome in medaka impacting the invertebrate community

Author

Diaz-Pauli, Beatriz, Edeline, Eric, Evangelista, Charlotte, Edeline, Eric, Écologie et santé des écosystèmes (ESE), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and European Society for Evolutionary Biology

Subjects
[SDE] Environmental Sciences, [SDE]Environmental Sciences, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2019

29. Mother hedges her bets: Female parasitoid competition induces summer diapause in part of their offspring

Author

Tougeron, Kévin, Brodeur, Jacques, Baaren, Joan Van, Le Lann, Cécile, Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Institut de Recherches en Biologie Végétale [Montréal] (IRBV), Université de Montréal (UdeM), European Society for Evolutionary Biology, Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), and Briand, Valerie

Subjects
[SDE.BE] Environmental Sciences/Biodiversity and Ecology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2017

30. Dispersal, gene flow and ecological speciation in lamprey

Author

Rougemont, Quentin, Gaigher, Arnaud, Launey, Sophie, Lasne, Emilien, Besnard, Anne-Laure, Evanno, Guillaume, Écologie et santé des écosystèmes (ESE), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, Université de Lausanne (UNIL), Centre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques (CARRTEL), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut National de la Recherche Agronomique (INRA), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Institut National de la Recherche Agronomique (INRA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), and European Society for Evolutionary Biology. INT.

Subjects
[SDV]Life Sciences [q-bio]
Abstract

absent

Published
2013

31. Evolution of genetic correlations and evolutionary potential in the invasive plant species Ulex europaeus

Author

Hornoy, Benjamin, Tarayre, Michèle, Atlan, Anne, Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), European Society for Evolutionary Biology, Briand, Valerie, Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), and Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDE.BE] Environmental Sciences/Biodiversity and Ecology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2011

32. Ecological genomics of the recent Spartina hybrids and allopolyploid invading salt-marshes

Author

Aïnouche, Malika L., Chelaifa, Houda, Ferreira de Carvalho, Julie, Bellot, Sidonie, Salmon, Armel, Briand, Valerie, Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), European Society for Evolutionary Biology, Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), and Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDE.BE] Environmental Sciences/Biodiversity and Ecology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2011

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