Predicting the evolutionary dynamics of adaptation (2019-2024)
Abstract
This project addresses a simple but fundamental question: can we predict adaptive evolution? The project aims to probe the limits of evolutionary predictions by using a model system of bacterial populations that adapt to the presence of multiple stressors. This will be combined with high-throughput fitness measurements, whole genome sequencing and computer simulations. Anticipated outcomes include novel insights into deep questions regarding the structure of fitness landscapes and the repeatability, predictability and contingency of adaptive evolution. The project is expected to provide significant benefits, ultimately informing the development of improved strategies for managing pathogen resistance to antimicrobial drugs.
