Predicting the evolutionary dynamics of adaptation. This project aims to address the question of how we can 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 structu ....Predicting the evolutionary dynamics of adaptation. This project aims to address the question of how we can 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, informing the development of improved strategies for managing pathogen resistance to antimicrobial drugs.Read moreRead less
The nature of standing genetic variation. This project aims to expand understanding of the genetic variation underlying phenotypic differences among individuals. The nature of genetic variation has broad consequences across biology, from the detection of causal genetic variants to the adaptation of natural populations. This project will take a novel experimental approach to test several long-standing assumptions about the effects of new mutations on individual traits and their joint pleiotropic ....The nature of standing genetic variation. This project aims to expand understanding of the genetic variation underlying phenotypic differences among individuals. The nature of genetic variation has broad consequences across biology, from the detection of causal genetic variants to the adaptation of natural populations. This project will take a novel experimental approach to test several long-standing assumptions about the effects of new mutations on individual traits and their joint pleiotropic effect on fitness. By expanding our understanding of how mutation, selection and drift interact, this project could provide significant improvements in our understanding of the genetic basis of phenotypes, and our ability to predict phenotypic evolution.Read moreRead less