There is an urgent need for novel antibiotics to fight life-threatening infections and to counteract the increasing problem of propagating antibiotic resistance. Recently, new molecular genetic and biochemical tools have provided insight into the enormous unexploited genetic pool of environmental microbial biodiversity for new antibiotic compounds. New tools for more efficiently lifting this hidden treasure are needed to strengthen competitiveness of European industry, as well as for a cost-saving
Salmon farmed on modern feeds contains less of the healthy, long-chain fatty acids (EPA and DHA) than before. Up until the turn of the millennium, farmed salmon were fed fish oil as a replacement for their omega-3 rich natural prey. However, fish oil is now a scarce resource, and more than half of the fat in modern feeds comes from plant oils that are inexpensive, but devoid of long-chain omega-3 fatty acids. How can we increase the omega-3 content of salmon on sustainable feeds?
One option is
Towards the Digital Salmon: From a reactive to a pre-emptive research strategy in aquaculture (DigiSal)
Salmon farming in the future must navigate conflicting and shifting demands of sustainability, shifting feed prices, disease, and product quality. The industry needs to develop a flexible, integrated basis of knowledge for rapid response to new challenges. Project DigiSal will lay the foundations for a Digital Salmon: an ensemble of mathematical descriptions of salmon physiology, combining
The MycoSynVac project AIMS at using cutting-edge synthetic biology methodologies to engineer Mycoplasma pneumoniae as a universal chassis for vaccination.
Designing a universal Mycoplasma chassis that can be deployed as single- or multi-vaccine in a range of animal hosts. Annually, infections caused by Mycoplasma species in poultry, cows, and pigs result in multimillion Euro losses in the USA and Europe.
There is no effective vaccination against many Mycoplasmas that infect pets, humans and farm
Pesticides, plastics, cosmetics, electrical transformers and many other products contain Endocrine disruptors (EDCs). EDCs interfere with natural hormone functions and may cause the disease.
This is a sandbox where DigiSal members can learn to use the SEEK.
Tutorial document: http://tinyurl.com/seek-ds17
The SEEK is a web interface to a database of research "assets" organised in a hierarchical "ISA structure" (investigation-study-assay) .
These are further organised into projects and programmes.
* Programme = Overarching research theme (The Digital Salmon)
* Project = Research grant (DigiSal, GenoSysFat)
* Investigation = a particular biological process, phenomenon or thing
Good data and model management improves the longevity and impact of your interdisciplinary research. FAIRDOM offers software and expertise to support you in better managing your interdisciplinary life-science projects, particularly in systems and synthetic biology. If you have never heard of data and model management, or are curious about it, or you are an expert keen to exchange ideas, our user meeting is the place for you!
At the meeting you will:
- Learn why data and model management is
Microbial strains used in biotechnological industry need to produce their biotechnological products at high yield and at the same time they are desired to be robust to the intrinsic nutrient dynamics of large-scale bioreactors, most noticeably to transient limitations of carbon sources and oxygen. The engineering principles for robustness of metabolism to nutrient dynamics are however not yet well understood. The ROBUSTYEAST project aims to reveal these principles for microbial strain improvement
We will contribute to the LiSyM Research Network an open source, freely available and reproducible multiscale model of the human liver from single cell metabolism to whole liver function. The model will be available in existing standards of systems biology, provide standardized interfaces for data integration and be fully annotated to available biological, medical and computational ontologies. All data, models and source code will be shared within the LiSyM Research Network and made available to
CropClock - Increasing Crops Biomass by Uncovering the Circadian Clock Network Using Dynamical Models
The circadian clock is an internal timing system that allows plants to predict daily and seasonal changes in light and temperature and thus to adapt photosynthesis, growth, and development to external conditions. The core oscillator is well understood in the model plant Arabidopsis, however, relatively little is known about the dynamic effects of the clock on agronomic behaviour of crop plants.
IMOMESIC - Integrating Modelling of Metabolism and Signalling towards an Application in Liver Cancer
One of the most challenging questions in cancer research is currently the interconnection of metabolism and signalling. An understanding of mechanisms that facilitate the physiological shift towards a proliferative metabolism in cancer cells is considered a major upcoming topic in oncology and is a key activity for future drug development. Due to the complexity of interrelations, a systems biology
Escherichia coli is a well-established and the most widely used organism for the production of recombinant proteins (used in medical and industrial applications, as molecular biology reagents, etc.). Production of proteins is the most resource exhaustive process for the cells and therefore needs to be optimized to achieve maximal productivities. Natural environment of E. coli is much harsher compared to the near optimal growth conditions used in production processes. In order to survive cells
Exploiting native endowments by re-factoring, re-programming and implementing novel control loops in Pseudomonas putida for bespoke biocatalysis. The EmPowerPutida project aims to engineer the lifestyle of Pseudomonas putida to generate a tailored, re-factored chassis for the production of so far non-accessible biological compounds. Pseudomonas putida is a bacterium with a highly versatile metabolism, including the capability to degrade or produce organic chemicals.