Merging automation and fundamental discovery into the design-build-test-learn cycle of nontraditional microbes

摘要

Major advances toward a bio-based industry enabled cost-efficient bioproduction of multiple chemicals, yet successful industrial processes are relatively scarce and limited to the use of few workhorse microbes as hosts. An in-depth understand-ing of the physiology and metabolism of nontraditional microorganisms is key to un-leash their biotechnological potential. The inception of biofoundries multiplied the capacity of constructing and testing a large number of microbial strains tailored for bioproduction - and we argue that automation workflows therein can be adapted to gain fundamental knowledge of nontraditional hosts. Here, we propose a 'metabolism-centric' approach to the design-build-test-learn cycle of synthetic biology, supported by multi-omic analyses, to facilitate the deployment of microbial cell factories designed for bioproduction beyond the typical landscape of target products.