Biosynthetic Hooks for an Enigmatic Marine Toxin. This project aims to characterise the genetic basis for the production of tetrodotoxin; a potent neurotoxin of ecological and biomedical significance. We hypothesise that tetrodotoxin is produced by microorganisms and transferred via the food web to fish, molluscs and other marine animals. Our integrated genomic and synthetic biology approach, targeting key biosynthesis genes, will reveal pathways for the production of tetrodotoxin and other pote ....Biosynthetic Hooks for an Enigmatic Marine Toxin. This project aims to characterise the genetic basis for the production of tetrodotoxin; a potent neurotoxin of ecological and biomedical significance. We hypothesise that tetrodotoxin is produced by microorganisms and transferred via the food web to fish, molluscs and other marine animals. Our integrated genomic and synthetic biology approach, targeting key biosynthesis genes, will reveal pathways for the production of tetrodotoxin and other potentially valuable compounds. In addition to providing unprecedented insight into the ecology and biosynthesis of this enigmatic toxin, the data generated will enable improved management of seafood safety and provide a foundation for the future development of novel neuroactive compounds.Read moreRead less
Mid-Career Industry Fellowships - Grant ID: IM230100154
Funder
Australian Research Council
Funding Amount
$1,049,904.00
Summary
Fungi Power: Designer Fungal Cell Factories for Advanced Biomanufacturing. This project aims to build an advanced biomanufacturing platform based on filamentous fungi in collaboration with industry. Using synthetic biology, the project expects to engineer superior fungal host strains customisable to the needs of the industry and to address their technological gaps. The expected outcomes include the development of cost-efficient and sustainable fungal-based bioprocesses for the companies to produ ....Fungi Power: Designer Fungal Cell Factories for Advanced Biomanufacturing. This project aims to build an advanced biomanufacturing platform based on filamentous fungi in collaboration with industry. Using synthetic biology, the project expects to engineer superior fungal host strains customisable to the needs of the industry and to address their technological gaps. The expected outcomes include the development of cost-efficient and sustainable fungal-based bioprocesses for the companies to produce products, such as fine chemicals, pharmaceutical actives and food ingredients. The project would provide significant benefits by enabling existing and emerging companies' commercial successes and competitiveness in global markets, creating new jobs and resulting in the growth of the bio-economy in Australia.Read moreRead less
Engineering Fungal Nonribosomal Peptide Synthetases for Novel Alkaloids. This project aims to use protein-domain shuffling aided by structural biology to decode and engineer a class of modular megaenzymes, called nonribosomal peptide synthetases (NRPSs), in fungi. These are responsible for the biosynthesis of peptide-derived bioactive molecules, such as the antibiotic penicillin and the immunosuppressant cyclosporin. Expected outcomes of this project include a fungal NRPS engineering platform fo ....Engineering Fungal Nonribosomal Peptide Synthetases for Novel Alkaloids. This project aims to use protein-domain shuffling aided by structural biology to decode and engineer a class of modular megaenzymes, called nonribosomal peptide synthetases (NRPSs), in fungi. These are responsible for the biosynthesis of peptide-derived bioactive molecules, such as the antibiotic penicillin and the immunosuppressant cyclosporin. Expected outcomes of this project include a fungal NRPS engineering platform for generating new molecules with desirable biological activities that can be readily scaled up for sustainable bioproduction. This will provide significant benefits to Australia through the development of cutting-edge biotechnologies as well as the discovery of new pharmaceuticals, veterinary products and agrichemicals.Read moreRead less