･A large dataset describing the bacterial growth in a broad environmental gradient of largely varied combinations was experimentally acquired under well-controlled laboratory conditions.
･By applying machine learning with artificial intelligence to this big data to estimate which nutrient determinative affected E. coli proliferation, we found that the decision-making nutrients in the lag, exponential, and stationary phases differed.
･Differentiation in the elements determining various growth phases strongly implied risk diversification in fate decisions as a survival strategy.
