Microbial range expansions
Experimental evolution of E. coli across spatially and temporally varying environments
Using E. coli populations evolving in simulated “landscapes” — gradients in temperature, nutrients, and antibiotic pressure — we ask how environmental autocorrelation, dispersal, and demographic stochasticity interact to determine whether a population can keep up with a changing world. The system pairs experimental evolution with whole-population sequencing to track the genomics of adaptation across space and time.