Programming stress-induced altruistic death in engineered bacteria.
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Programmed death is often associated with a bacterial stress response. This behavior appears paradoxical, as it offers no benefit to the individual. This paradox can be explained if the death is 'altruistic': the killing of some cells can benefit the survivors through release of 'public goods'. However, the conditions where bacterial programmed death becomes advantageous have not been unambiguously demonstrated experimentally. Here, we determined such conditions by engineering tunable, stress-induced altruistic death in the bacterium Escherichia coli. Using a mathematical model, we predicted the existence of an optimal programmed death rate that maximizes population growth under stress. We further predicted that altruistic death could generate the 'Eagle effect', a counter-intuitive phenomenon where bacteria appear to grow better when treated with higher antibiotic concentrations. In support of these modeling insights, we experimentally demonstrated both the optimality in programmed death rate and the Eagle effect using our engineered system. Our findings fill a critical conceptual gap in the analysis of the evolution of bacterial programmed death, and have implications for a design of antibiotic treatment.
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Published Version (Please cite this version)10.1038/msb.2012.57
Publication InfoBuchler, NE; Pai, Anand; Tanouchi, Y; & You, L (2012). Programming stress-induced altruistic death in engineered bacteria. Mol Syst Biol, 8. pp. 626. 10.1038/msb.2012.57. Retrieved from https://hdl.handle.net/10161/9352.
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Professor of Biomedical Engineering
Dr. You's research interest focus on computational systems biology & synthetic biology, including mathematical modeling of cellular networks; mechanisms of information processing by gene networks; design, modeling and construction of robust gene networks for applications in engineering and medicine.