Elucidating the genetic basis of newly evolved metabolic functions in yeast. Elucidating the genetic basis of newly evolved metabolic functions in yeast. This project intends to research how complex metabolic pathways originate and evolve. This project will use cutting edge genome sequencing and molecular techniques to elucidate the heritable genetic basis of Baker’s yeast, which has been the selectively evolved to use xylose as a sole carbon source: something vital for second generation biofuel ....Elucidating the genetic basis of newly evolved metabolic functions in yeast. Elucidating the genetic basis of newly evolved metabolic functions in yeast. This project intends to research how complex metabolic pathways originate and evolve. This project will use cutting edge genome sequencing and molecular techniques to elucidate the heritable genetic basis of Baker’s yeast, which has been the selectively evolved to use xylose as a sole carbon source: something vital for second generation biofuel production that wild yeast cannot do. This project will combine detailed molecular characterisation of highly adapted yeast strains with a novel "molecular palaeontology" approach to trace the evolutionary process and identify functionally significant loci under selection. Detailed characterisation of this trait will accelerate the development of future yeast strains and test fundamental evolutionary theories.Read moreRead less
Characterising structural variation in the canola genome. Characterising structural variation in the canola genome. This project aims to develop and apply genomic tools to identify and characterise structural genome variation in canola, a major Australian export crop, to better understand genome evolution and accelerate canola breeding. Advances in DNA sequencing revolutionise our understanding of crop genomes, their evolution and impact on the inheritance on agronomic traits. Variation of genom ....Characterising structural variation in the canola genome. Characterising structural variation in the canola genome. This project aims to develop and apply genomic tools to identify and characterise structural genome variation in canola, a major Australian export crop, to better understand genome evolution and accelerate canola breeding. Advances in DNA sequencing revolutionise our understanding of crop genomes, their evolution and impact on the inheritance on agronomic traits. Variation of genome structure between individuals could be important in the inheritance of important agronomic traits. Recent advances in technology permit the detailed characterisation of structural variation on a previously unfeasible scale. Anticipated outcomes are enhanced global food security, supporting rural Australian economies, and accelerating the improvement of other major crops.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