A database of over 14,000 strain design publications reveals a conserved set of metabolic engineering targets across microbial hosts and products

Microbial biotechnology has the potential to address several societal issues through the sustainable production of industrially relevant compounds. Despite decades of successful cases, rational engineering of microbial metabolism is still a complex process due to the fine balance between nutrient supply, allocation of cellular resources, energy demand and redox balancing. In this work, we implemented a text-mining workflow for metabolic engineering and compiled a database of experimentally validated strain design strategies from over 14,000 research articles, which includes information on host strain, target compounds, and gene modifications. This large dataset reveals trends on the selection of suitable hosts for different kinds of products and their respective gene targets. Despite the wide variety of microbes and products, we observe a conserved set of target metabolic genes associated with central carbon metabolism, especially in upper glycolysis, pentose-phosphate pathway, citric acid cycle, and fermentative pathways. The most distinguishing feature among strain design strategies seems not to be which genes are targeted, but rather the direction in which they are modified (increased or decreased expression). Controlling flux at key branching points and redox balancing reactions is thus a critical engineering step to steer metabolism. Our collection of 25 years of literature can provide a stepping stone for starting new strain design projects without reinventing the wheel. • Implemented a text mining pipeline for downloading and extracting data from metabolic engineering publications. • Created a strain design database with data from over 14,000 publications covering 25 years of literature. • Observed trends and preferences on the selection of hosts for different products and respective gene targets. • Found a subset of consistently targeted reactions at key metabolic branching points across multiple hosts and products.