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Managing biodiversity in human-impacted environments requires assessment of both functional connectivity and adaptive genetic diversity. Landscape genetics and genomics are two rapidly growing disciplines that aim to understand how landscape and environmental features drive the degree and the spatial distribution of genetic variation. The main goal of my project is to assess the impact of anthropogenic disturbances on gene flow and the evolutionary potential on natural populations in riverscapes and agricultural landscapes. First, using hundreds of genome-wide markers, I am investigating the impact of dams on neutral and adaptive genetic diversity and genetic structure of an endemic freshwater fish of Australia in the Yarra River system (Victoria, Australia). A space-for-time design was implemented, with several populations sampled upstream and downstream in five streams systems of different size and with barriers of different known ages. Second, I am running computer simulations on various types of genetic data and markers to estimate the timescale at which populations are impacted by anthropogenic habitat alteration. This will provide general insights into the timing of barrier effects on different classes of molecular marker in freshwater systems. Finally, I will provide an empirical test of the performance of spatial genetics methods adapted to individual-based landscape genetics datasets to detect landscape genetics relationships. This project is a great opportunity to provide robust management and restoration strategies based on knowledge about populations’ connectivity and evaluation of their adaptive potential.
I am researcher, working at INRA-SPE on a permanent position since 2010. I define myself as a population biologist, interested in the response of biodiversity to anthropogenic disturbances. My main research area is the study of dispersal and gene flow in heterogeneous environments. My research relies on a pluridisciplinary approach that includes empirical analyses and computer simulation in population genetics and landscape genetics (14 publications) and statistical modelling of ecological data (11 publications). One of my leading achievements has been to produce important insights on how landscape structure and its temporal dynamics influence movement and dispersal in various species inhabiting agro-ecosystems. The main goal of my AgreenSkills project in Sunnucks Lab was to assess the impact of anthropogenic disturbances on gene flow and the evolutionary potential on natural populations in riverscapes and agricultural landscapes. Based on computer simulations, I provided general insight on the establishment and detection of genetic structure in relation to barriers or to landscape structures mitigating dispersal rate and distance. I also participated in the development of a new exploratory method in spatial genetics.
Van Boheemen L. A., Lombaert E., Nurkowskie K. A., Gauffre B., Rieseberge L. H. and Hodgins K. A., 2017. Multiple introductions, admixture and bridgehead invasion characterize the introduction history of Ambrosia artemisiifolia in Europe and Australia. Molecular Ecology, 26(20):5421-5434. Doi: 10.1111/ mec.14293.
Marrec R., Caro G., Miguet P., Badenhausser I., Plantegenest M., Vialatte A., Bretagnolle V. and Gauffre B., 2017. Spatiotemporal dynamics of the agricultural landscape mosaic drives distribution and abundance of dominant carabid beetles. Landscape Ecology. 32: 2383. Doi: 10.1007/s10980-017-0576-x.
Piry S., Chapuis M-P., Gauffre B., Papaïx J., Cruault A. and Berthier K., 2016 Mapping Averaged Pairwise Information (MAPI): a new exploratory tool to uncover spatial structure. Methods in Ecology and Evolution. 7: 1463-1475. Doi:10.1111/2041-210X.12616.
Gauffre B., Mallez S., Chapuis M-P., Leblois R., Litrico I., Delaunay S. and Badenhausser I., 2015. Spatial heterogeneity in landscape structure influences dispersal and genetic structure: empirical evidence from a grasshopper in an agricultural landscape. Molecular Ecology, 24 (8), 1713-1728.