Subgroup Leader of Adaptation in heterogeneous environments
The EE Research Group includes 10 senior researchers (integrated members), two of whom hold academic positions and one a contract as research investigator, and 7 of whom hold post-doctoral grants. The group also includes 11 Ph.D. students and one technician.
The EE research lies at the intersection of Ecology and Evolutionary Biology, to understand the micro-evolutionary patterns and processes as a function of particular ecologic scenarios. Conversely, the group studies the ecology of organisms and systems taking into account the evolutionary history of populations and communities. Emphasis is given to (a) evolution in response to environmental changes, (b) evolution of social behavior and other behavioral patterns and (c) evolution of species interactions. Research done by the members of the group uses experimental evolution, quantitative genetics, comparative genomics, modeling, and computer simulations. The group works mainly with Drosophila, the spider mite Tetranychus urticae, and bacteria. It is subdivided into three research subgroups, each headed by a Principal Investigator: ‘Local Adaptation in Drosophila’, ‘Evolutionary Ecology of Microorganisms’ and ‘Adaptation in Heterogeneous Environments’.
Clemente, S.H., Santos, I., Ponce, R., Rodrigues, L.R., Varela, S.A.M. & Magalhães, S. (2018) Despite reproductive interference, the net outcome of reproductive interactions among spider mite species is not necessarily costly.Behavioral Ecology, Online early, . DOI:10.1093/beheco/arx161 (IF2016 3,311; Q2 Behavioral Sciences)
Norder, S.J., Baumgartner, J.B., Borges, P.A.V., Hengl, T., Kissling, W.D., Van Loon, E.E. & Rijsdijk, K.F. (2018) A global spatially explicit database of changes in island paleo-area and archipelago configuration during the late Quaternary.Global Ecology and Biogeography, Accepted, . DOI: (IF2016 6,045; Q1 Ecology)
Seabra, S.G., Fragata, I., Antunes, M.A., Faria, G.S., Santos, M.A., Sousa, V.C., Simões, P. & Matos, M. (2018) Different genomic changes underlie adaptive evolution in populations of contrasting history.Molecular Biology and Evolution, Online early, . DOI:10.1093/molbev/msx247 (IF2016 6,202; Q1 Evolutionary Biology)