ERC FUNDED PROJECTS

"Considerable investments have been made in Europe and worldwide in research data infrastructures. Instead of a general lack of data about data, it has become apparent that the pivotal factor that drastically constrains the use of data is the absence of contextual knowledge about how data was created and how it has been used. This applies especially to many branches of SSH research where data is highly heterogeneous, both by its kind (e.g. being qualitative, quantitative, naturalistic, purposefully created) and origins (e.g. being historical/contemporary, from different contexts and geographical places). The problem is that there may be enough metadata (data about data) but there is too little paradata (data on the processes of its creation and use). In contrast to the rather straightforward problem of describing the data, the high-risk/high-gain problem no-one has managed to solve, is the lack of comprehensive understanding of what information about the creation and use of research data is needed and how to capture enough of that information to make the data reusable and to avoid the risk that currently collected vast amounts of research data become useless in the future. The wickedness of the problem lies in the practical impossibility to document and keep everything and the difficulty to determine optimal procedures for capturing just enough. With an empirical focus on archaeological and cultural heritage data, which stands out by its extreme heterogeneity and rapid accumulation due to the scale of ongoing development-led archaeological fieldwork, CAPTURE develops an in-depth understanding of how paradata is #1 created and #2 used at the moment, #3 elicits methods for capturing paradata on the basis of the findings of #1-2, #4 tests the new methods in field trials, and #5 synthesises the findings in a reference model to inform the capturing of paradata and enabling data-intensive research using heterogeneous research data stemming from diverse origins. "

1 944 162 €

Start date: 2019-05-01, End date: 2024-04-30

Pollinator declines in response to land-use intensification have raised concern about the persistence of plant species dependent on insect pollination, in particular by bees, for their reproduction. Recent empirical studies show that reduced pollinator abundance decreases densities of seedlings of insect-pollinated plants and thereby changes the composition of grassland plant communities. Cascading effects on ecosystem functioning and associated organisms are expected, but to which extent and under which conditions this is the case is yet unexplored. Here, I propose a bold, multi-year, landscape-scale experimental assessment of the extent of pollinator-driven plant community changes, their consequences for associated organisms and important ecosystem functions, and their likely contingency on other factors (soil fertility, herbivory). Specifically I will: (1) Set up a network of long-term research plots in landscapes differing in pollinator abundance to measure the changes in plant reproduction over successive years, and assessing experimentally how herbivory and soil fertility mediate these effects. (2) Explore the individual processes linking pollinators, plant communities and ecosystem functioning using long-term experiments controlling pollinator, herbivore and nutrient availability, focusing on a sample of plant species covering both the dominant species and a diversity of functional traits. (3) Assess the context-dependence of pollinator-mediated plant community determination by building and applying process-based models based on observational and experimental data, and combine with existing spatially-explicit pollinator models to demonstrate the applicability to assess agri-environmental measures. This powerful blend of complementary approaches will for the first time shed light on the cornerstone role of this major mutualism in maintaining diverse communities and the functions they support, and pinpoint the risks threatening them and the need for mitigation.

1 998 842 €

Start date: 2019-09-01, End date: 2024-08-31

Solute Carrier (SLC) transporters mediate the translocation of substrates across membranes and after GPCRs represent the second-largest fraction of the human membrane proteome. SLC transporters are critical to cell homeostasis, which is reflected in the fact that more than a quarter is associated with Mendelian disease. Despite a few exceptions, however, they have been under-utilized as drug targets and most of the mechanistic understanding has been derived from bacterial homologues of these medically important proteins. In addition to subtle differences, bacterial homologues will not enable us to establish how the activities of many SLC transporters are allosterically regulated through the binding of accessory factors, e.g., hormones, to their non-membranous globular domains. Understanding the mechanisms by which their activities can be allosterically regulated through these complex and dynamic assembles is critical to human physiology and important for future drug design. Our model system is a family of transporters known as sodium/proton exchangers (NHEs), which exchange sodium for protons across membranes to aid many fundamental processes in the cell. NHEs are important to the cell cycle, cell proliferation, cell migration and vesicle trafficking and are associated with a wide-spectrum of diseases. Their diverse portfolio is connected to the importance of pH homeostasis, and the binding of many different factors to a large, globular cytosolic domain exquisitely regulates them. To date, we have no structural information for any of the NHE’s, functional assays in liposomes are lacking, and many interaction partners are yet to be validated by in vitro studies. Determining the structure, dynamics, and allosteric regulation of NHEs will be an enormous challenge. However, we envisage that by achieving our objectives, we will reveal important mechanistic insights relevant not just to NHEs, but to many types of SLC transporters.

1 999 875 €

Start date: 2019-06-01, End date: 2024-05-31

It is estimated that almost half of all enzymes utilize metal cofactors for their function, for example the respiratory complexes and the oxygen-evolving photosystem II, the most fundamental requirements for aerobic life as we know it. If we could mimic nature’s use of metals for harvesting sunlight, energy conversion and chemical synthesis it would eliminate the need for fossil fuels and greatly increase the possibilities of chemical industry while reducing the environmental impact. Achieving this type of chemistry is an outstanding testament to evolution and understanding it is a glaring challenge to mankind. These types of reactions are based on very challenging redox chemistry (involving one or several electrons). The key catalytic species are generally high-valent metal clusters with a varying ligand environment, provided by the protein and other bound molecules, that directly controls the reactivity of the inorganic core. To be able to understand and mimic this chemistry it is of central importance to know the geometric and electronic structures of the metal core as well as the entire ligand environment for these usually short-lived and very reactive intermediates. It has, for a number of reasons, proven extremely challenging to obtain these for protein-coordinated catalysts. The central goal of this project is to determine true and accurate geometric and electronic structures of high-valent di-nuclear Fe/Fe and Mn/Fe metal sites coordinated in protein matrices known to direct these for varied and important chemistry. By combining new X-ray diffraction based techniques with advanced spectroscopy we aim to define how the protein controls the entatic state as well as reactivity and mechanism for some of the most potent catalysts in nature. The results will serve as a basis for design of oxygen-activating catalysts with novel properties.

1 968 375 €

Start date: 2017-06-01, End date: 2022-05-31