Bacterial populations are increasingly understood to be highly
heterogeneous, due to effects of noisy gene expression, stochastic
switches, and other mechanisms that maintain phenotypic diversity.
Their population dynamics are thus strongly affected by selective forces
acting on different subpopulations. In addition, the physiological
responses of individual cells to fluctuating conditions affect the
phenotypic structure of the population. This talk presents a theoretical
framework for understanding these dynamics using individuals'
phenotypic histories observed over their ancestral lineage. The lineage
perspective enables the action of selection to be decoupled from that of
individuals' responses.
Experiments on continuously dividing bacterial populations growing in
microfluidics devices are being used to test aspects of this approach.