Unlocking the potential of bacterial polymers by defining key determinants. Sugary structures that coat the surface of some bacteria, known as capsules, can be modified by bacterial viruses (bacteriophage) in the environment. For the bacterial genus Acinetobacter, this influences their use as naturally renewable 'green' biopolymers for remediating environments contaminated with petroleum hydrocarbons. This project aims to characterise crucial capsule polymerase enzymes using a combination of bio ....Unlocking the potential of bacterial polymers by defining key determinants. Sugary structures that coat the surface of some bacteria, known as capsules, can be modified by bacterial viruses (bacteriophage) in the environment. For the bacterial genus Acinetobacter, this influences their use as naturally renewable 'green' biopolymers for remediating environments contaminated with petroleum hydrocarbons. This project aims to characterise crucial capsule polymerase enzymes using a combination of bioinformatics and experimental methodologies to establish how bacteriophage influence Acinetobacter capsules. Outcomes include the development of an innovative genomics pipeline to detect capsule change, improving the use of living bacteria for bioremediation and sustainable rehabilitation of natural ecosystems.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100316
Funder
Australian Research Council
Funding Amount
$435,431.00
Summary
Population genomic methods for modelling bacterial pathogen evolution. This project aims to develop novel techniques to model bacterial genome evolution and improve our understanding of how major agricultural and human pathogens, including Enterococcus, Salmonella and E. coli, evolve. The project expects to generate new knowledge about how horizontal gene transfer shapes the evolution of bacteria and how these dynamics vary over different temporal scales. Expected outcomes include methodological ....Population genomic methods for modelling bacterial pathogen evolution. This project aims to develop novel techniques to model bacterial genome evolution and improve our understanding of how major agricultural and human pathogens, including Enterococcus, Salmonella and E. coli, evolve. The project expects to generate new knowledge about how horizontal gene transfer shapes the evolution of bacteria and how these dynamics vary over different temporal scales. Expected outcomes include methodological advances that will enable the analysis of massive contemporary datasets. These methods and resulting analyses will provide significant benefits including informing the design of superior long-term interventions to reduce bacterial disease in both agriculture and health that are robust to the evolution of bacteria.Read moreRead less