Mapping single-cell responses to population-level dynamics during antibiotic treatment

ABSTRACT: Treatment of sensitive bacteria with beta-lactam antibiotics often leads to two salient population-level features: a transient increase in total population biomass before a subsequent decline, and a linear correlation between growth and killing rates. However, it remains unclear how these population-level responses emerge from collective single-cell responses. During beta-lactam treatment, it is well recognized that individual cells often exhibit varying degrees of filamentation before lysis. We show that the cumulative probability of cell lysis increases sigmoidally with the extent of filamentation and that this dependence is characterized by unique parameters that are specific to bacterial strain, antibiotic dose, and growth condition. Modeling demonstrates how the single-cell lysis prob

SUBMITTER: Kyeri Kim 

PROVIDER: S-SCDT-10_15252-MSB_202211475 | biostudies-other |

REPOSITORIES: biostudies-other