The PATHSENSE (Pathogen Sensing) ETN will bring together an interdisciplinary team of world-leading researchers from Europe to tackle a highly ambitious scientific project, focusing on the molecular mechanisms of sensory perception in bacterial pathogens. PATHSENSE will establish an innovative doctoral training programme that will deliver 13 PhD graduates and high-impact scientific outputs. The relationship between molecular structures and biological function is central to understanding any living system; however the research methodologies required to unravel these relationships are often complex and fast-changing. The team participating in this Network has the infrastructure and track-record to train ESRs in these state-of-the art methodologies, including structural biology, proteomics & protein biochemistry, molecular biology, bacterial genetics, food microbiology, mathematical modelling, cell biology, microscopy and comparative genomics. PATHSENSE will investigate the poorly understood structure-function relationships that exist within a large multi-protein complex called a “stressosome”, which acts as a sensory organelle in bacteria. The project will involve extensive inter-sectoral mobility of the ESRs across 7 EU countries to make full use of the complementary skills available at each of the hosting institutions. The inter-sectoral Network comprises 8 leading Universities, 1 public research institution, 4 companies (from spin-off to large multi-national) and 1 governmental agency. A major objective of this Network will be to exploit the fundamental research to develop novel antimicrobial treatments that have applications in the food and public health sectors. This project will deliver high-impact science, 13 highly-trained innovative researchers and will produce a long-lasting inter-sectoral network of collaborators who will continue to work together to exploit fundamental research for the socio-economic benefit of Europe.

European dairy industry is an important agri-food sector; it represents more than 300,000 jobs and 10 billion € positive trade balance. Five out of the ten top global dairy companies are European and more than 80% of European companies are SMEs. More than 300 cheeses and dairy products are sold all over the world and are protected as geographical indications or traditional specialties. Mastering cheese-ripening processes to avoid sanitary risk and waste, and produce typical cheeses with organoleptic properties valued by the consumers is of economic and social significance. E-MUSE aims to develop innovative modelling methodologies to improve knowledge about complex biological systems and to control and/or predict their evolution by combining artificial intelligence and systems biology. This multidisciplinary strategy integrating genome-scale metabolic models, dynamic modelling methodologies, together with the design of efficient statistical and machine learning tools, will allow analysing of multi-omics data and linking the results to macro-scale properties related to cheese ripening and consumer preference. Bioinformatics has addressed this issue by data mining; however, a gap still exists between the molecular scale information and the macroscopic properties that E-MUSE will contribute to fill. Moreover, in the context of sustainable development, more and more consumers are diversifying their diet and consume plant-based food. Introduction of plant-based proteins in the cheese process brings issues such as bitterness or safety. Modelling strategies from the E-MUSE project will help to target and solve these issues. Finally, E-MUSE will train researchers with multidisciplinary skills in mathematics, bioinformatics and/or biology to design and use innovative multiscale modelling methodologies, with the ultimate outcome of a dynamic modelling software giving researchers a harmonised language to address future research questions about complex biological systems.