Rerunning the evolution of an ancient bacterial propeller. This project aims to measure how the propeller which drives bacterial swimming originated and then evolved. This project expects to generate new knowledge in molecular evolution using interdisciplinary techniques in synthetic biology and biophysics to resurrect ancient proteins and test how they can be directed to evolve in a contemporary host. Expected outcomes include the development of new types of flagellar motor for applied uses in ....Rerunning the evolution of an ancient bacterial propeller. This project aims to measure how the propeller which drives bacterial swimming originated and then evolved. This project expects to generate new knowledge in molecular evolution using interdisciplinary techniques in synthetic biology and biophysics to resurrect ancient proteins and test how they can be directed to evolve in a contemporary host. Expected outcomes include the development of new types of flagellar motor for applied uses in synbio and microfluidics, and new methods to resurrect ancient proteins and evolve their function for purpose. This should provide significant benefits by delivering a de novo molecular motor for custom applications and galvanise public interest in how this iconic molecular complex originated and evolved.Read moreRead less
Real-time phylogenetics for food-borne outbreak surveillance. The project aims to introduce, for the first time, real-time evolutionary analysis of agricultural pathogens so that outbreaks affecting crops and the food supply can be managed precisely and rapidly. An expert team will implement a large-scale data analytics framework in user-friendly software that integrates Australian infectious disease genomics data with global data. Underpinning this work are new theory and algorithms that apply ....Real-time phylogenetics for food-borne outbreak surveillance. The project aims to introduce, for the first time, real-time evolutionary analysis of agricultural pathogens so that outbreaks affecting crops and the food supply can be managed precisely and rapidly. An expert team will implement a large-scale data analytics framework in user-friendly software that integrates Australian infectious disease genomics data with global data. Underpinning this work are new theory and algorithms that apply Sequential Monte Carlo to update phylogenetic analyses continuously as new data arrives. Expected outcomes include new knowledge of statistical algorithms for evolutionary analysis, relevant to biological disciplines beyond infectious disease; and enhanced capacity for infectious disease analysis. Read moreRead less