title: Programming stress-induced altruistic death in engineered bacteria.
abstract: 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.
authors.affiliation: Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
authors.forename: Yu
authors.initials: Y
authors.lastname: Tanouchi
authors.forename: Anand
authors.initials: A
authors.lastname: Pai
authors.forename: Nicolas E
authors.initials: NE
authors.lastname: Buchler
authors.forename: Lingchong
authors.initials: L
authors.lastname: You
mesh_terms: D017209:Apoptosis; D004926:Escherichia coli / Q000166:cytology* / Q000254:growth & development; D005818:Genetic Engineering; D050296:Microbial Viability; D008954:Models, Biological; D015203:Reproducibility of Results; D013312:Stress, Physiological