Ecosystems bioinformatics in ecology and agriculture
Session description: The living world presents numerous intricate complexities that we strive to understand by combining data analysis approaches with observation and experiments. Ecosystems vary greatly in size, diversity and functioning, for example from whole oceans, to the human gut microbiome, to simplified model systems that we use to understand interactions between organisms and their environment. Development of new bioinformatics tools and computational approaches enable us to infer complex evolutionary histories and adaptive changes, and relate these to changing ecosystems. These methods help us understand the dynamics and equilibria ruling the living world in a changing environment, and offer real applications from biotechnology to biomedical research, as well as in conservation biology, ecology, and agriculture. Sequencing data provide a large and varied source of information that require tools and models to investigate patterns of micro- and macro-evolutionary processes within and between species. This session aims to showcase the research of SIB groups working on unravelling the dynamics and mechanisms shaping the distribution and abundance of populations and underlying interactions, often with applications to ecology and agriculture.
Topics include but are not limited to: speciation biology; microbiomes of all shapes and sizes; eukaryotic and prokaryotic diversity; research applications in biotechnology, agriculture, or ecosystems management; quantitative models; morphology; host-microbe interactions; ecological and evolutionary factors in communities.