BREEDER SIGNED

Project "BREEDER" data sheet

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 Partnership

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 Project objective

As the worldwide population expands and nonrenewable resources are increasingly depleted, it is critical to develop renewable sources of goods from plentiful feedstocks. Microorganisms are a key to solving this challenge, as they can be used to manufacture a diverse array of chemicals, pharmaceuticals, fuels, food or feed ingredients. Research and development must reduce the costs and time required to move products to market. From improving microbial strains to optimizing scalable processes for fermentation and product recovery, this effort typically takes 10–20 years and $ 70–150 million. Enabling technologies are required to bring R&D time and costs to values that are consistent with industrial and financial expectations, so that sustainable fermentation processes can contribute taking up global challenges. Due to limited knowledge of complicated cellular networks, adaptive laboratory evolution has played critical roles in strain improvement. This approach harnesses natural evolution in the laboratory via iterative cycles of diversity generation and functional selection or screening to isolate evolved mutants with desirable phenotypes. Altar’s technology automates this approach through the implementation of proprietary methods for ensuring controlled selective pressure and contamination-free operation while iterating selection cycles. The innovation will bring digitalization, modularity, versatility and novel selection features, hereby enabling for scale-up while addressing wider application field. Moreover, the development of a cloud evolution platform will enable Altar to bring a flexible and affordable solution to the market. The project will generate new R&D services in the field of strain development based on a unique technology for directed evolution of microorganisms. These services will significantly reduce time and money spent in R&D for achieving microorganism strains with required performance to reach economic relevance in industrial context.