Variation in bacterial genomic mutation rates. Our measurement of global mutation rates will contribute to an understanding of the evolutionary properties of bacteria, the most diverse and successful organisms in the biosphere. Bacterial variation and culture richness contributes not only to ecological processes but also to emerging diseases. The studies will enhance capabilities essential in interpreting the evolution of epidemics and the kinetics of bacterial sweeps in nature. Variation also p ....Variation in bacterial genomic mutation rates. Our measurement of global mutation rates will contribute to an understanding of the evolutionary properties of bacteria, the most diverse and successful organisms in the biosphere. Bacterial variation and culture richness contributes not only to ecological processes but also to emerging diseases. The studies will enhance capabilities essential in interpreting the evolution of epidemics and the kinetics of bacterial sweeps in nature. Variation also provides the source material for exploitation of bacterial products such as antibiotics. The results from understanding a complete set of mutational changes through genomic analysis will provide the most direct estimates of variation in evolving bacteria.Read moreRead less
DNA Replication fork processing and recovery in living Escherichia coli cells. DNA is the genetic blueprint for all life. When cells divide their DNA has to be copied completely, and exactly, to avoid mutations or death. When the process of copying breaks down, the DNA needs to be repaired and the process of copying restarted. This project will investigate living cells, to understand the mechanisms and pathways involved.
Decoding regulatory RNA function in bacteria. All complex biological processes in bacterial cells appear to utilise regulatory small RNAs to control gene expression, but we lack a systems-level understanding of their functions and mechanisms of control. This proposal aims to address this fundamental knowledge gap using machine learning and cutting-edge, systems-level techniques to determine how small RNA sequence and structure determines function. Small RNAs have been found to control a broad ra ....Decoding regulatory RNA function in bacteria. All complex biological processes in bacterial cells appear to utilise regulatory small RNAs to control gene expression, but we lack a systems-level understanding of their functions and mechanisms of control. This proposal aims to address this fundamental knowledge gap using machine learning and cutting-edge, systems-level techniques to determine how small RNA sequence and structure determines function. Small RNAs have been found to control a broad range of traits including metabolism, biofilm formation, antibiotic tolerance, and virulence. The work proposed here will enhance our ability to predict and control bacterial gene expression with potential future impacts on bioproduction, synthetic biology, and veterinary and medical microbiology.Read moreRead less