Using ‘omic and digital technologies toward better fasciolosis control. In Australia, liver fluke disease caused by Fasciola hepatica causes major economic losses to livestock production. Triclabendazole is the most effective drug for parasite control, however, resistance to this drug has emerged and continues to spread in Australia. This project expects to create a novel resource to identify new drug targets, generate new knowledge about the genetic composition of F. hepatica populations and un ....Using ‘omic and digital technologies toward better fasciolosis control. In Australia, liver fluke disease caused by Fasciola hepatica causes major economic losses to livestock production. Triclabendazole is the most effective drug for parasite control, however, resistance to this drug has emerged and continues to spread in Australia. This project expects to create a novel resource to identify new drug targets, generate new knowledge about the genetic composition of F. hepatica populations and unravel the genetic determinants underlying triclabendazole resistance. The curation of functionally-annotated genetic data for F. hepatica populations will underpin the development of diagnostic tests, drugs and vaccines to deliver a new generation of intervention strategies to control liver fluke disease.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100263
Funder
Australian Research Council
Funding Amount
$477,037.00
Summary
Improve genomic testing tools for fertility traits in beef cattle. Fertility is a key driver of productivity and profitability for beef industry; however, a substantial industry challenge is poor fertility and the difficulty and expense of measuring fertility in remote Australia. By integrating multiple omics datasets and fifty thousand fertility phenotypes recorded on beef cattle, the project will identify sequence variation, including structural variants, that underpin genetic variation in cat ....Improve genomic testing tools for fertility traits in beef cattle. Fertility is a key driver of productivity and profitability for beef industry; however, a substantial industry challenge is poor fertility and the difficulty and expense of measuring fertility in remote Australia. By integrating multiple omics datasets and fifty thousand fertility phenotypes recorded on beef cattle, the project will identify sequence variation, including structural variants, that underpin genetic variation in cattle fertility. Our industry partner, which genotypes hundreds of thousands of cattle a year, will produce new genotype arrays and novel low-cost sequencing approaches including these variants, enabling selection that could potentially increase herd reproductive rate by 4%, returning $40M per annum to the farmers.Read moreRead less