Objective The striking mismatch between evolution at short (microevolution) and long (macroevolution) time scales is a major remaining problem in evolutionary biology (the paradox of stasis). FLYWING will apply novel quantitative genetic theories and statistical methods to analyses of exceptionally high quality data to make a major step forward to solve the paradox of stasis.Working with Prof. Thomas Hansen at University of Oslo (UoO), I will test the idea that trait variance covariance structure (G-matrix) provides the conceptual bridge to link micro- and macroevolution (the multivariate genetic constraints hypothesis). The goals of FLYWING will be achieved through a novel multidisciplinary approach that combines quantitative genetic theory and state-of-the-art phylogenetic comparative methods (macroevolutionary quantitative genetics). I will apply this framework to analyze wing morphology data of the fly family Drosophilidae, collected by Prof. David Houle at Florida State University and available at UoO. The fly wing data consists of 37,668 exceptionally accurate individual observations across 111 Drosophila fly species. The data of such high quality has no close counterpart in any labs elsewhere in the world. The phenomenal dataset and my novel macroevolutionary quantitative genetic approach will make FLYWING the most rigorous test of the multivariate genetic constraints hypothesis to date. FLYWING will give me the opportunity to receive top quality research training from two world leading authorities of quantitative geneticists (Prof. Hansen and Prof. Houle) to establish myself as an independent researcher at the forefront of evolutionary biology. Results from FLYWING will produce cutting-edge insights for issues at the interface between micro- and macroevolution. The conceptual and methodological advancements of FLYWING will pave the roads for novel ways to use G-matrices in ecology and conservation biology. Fields of science natural sciencesbiological sciencesgeneticsnatural sciencesbiological sciencesbiological morphologycomparative morphologynatural sciencesbiological sciencesecologynatural sciencesbiological sciencesevolutionary biologynatural sciencesmathematicsapplied mathematicsstatistics and probability Keywords macroevolution phylogeneetic comparative method evolutionary quantitative genetics quantitative genetics evolvability constraints adaptation G-matrix P-matrix Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Topic(s) MSCA-IF-2016 - Individual Fellowships Call for proposal H2020-MSCA-IF-2016 See other projects for this call Funding Scheme MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF) Coordinator UNIVERSITETET I OSLO Net EU contribution € 208 400,40 Address PROBLEMVEIEN 5-7 0313 Oslo Norway See on map Region Norge Oslo og Viken Oslo Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 208 400,40
