eGenomics - Next generation biomonitoring of threatened species. DNA is the molecule of life and exists everywhere in the environment as a largely untapped source of information on evolution, biodiversity, and ecosystem health. Our overriding aim is to start mining that information to benefit threatened species. Based on optimized ancient DNA methods, powerful sequencing technology, whole genome analyses, and RNA profiling, we present a novel and holistic framework for genetic biomonitoring. In ....eGenomics - Next generation biomonitoring of threatened species. DNA is the molecule of life and exists everywhere in the environment as a largely untapped source of information on evolution, biodiversity, and ecosystem health. Our overriding aim is to start mining that information to benefit threatened species. Based on optimized ancient DNA methods, powerful sequencing technology, whole genome analyses, and RNA profiling, we present a novel and holistic framework for genetic biomonitoring. In two parallel model systems we will study corals and reptiles to improve environmental detection while simultaneously obtaining information on their population health. This will foster more efficient conservation of endangered species that are of tremendous importance to our marine and terrestrial ecosystems.Read moreRead less
Optimising plant populations for ecological restoration and resilience. When choosing individual plants for restoration populations, there is potentially a trade-off between maximising genetic diversity (‘adaptability’) and selection for desirable properties (‘adaptation’). This project aims to develop pioneering methods to quantify this trade-off, and facilitate the design of optimised populations, with a focus on two Australian rainforest trees that are being impacted by myrtle rust infection: ....Optimising plant populations for ecological restoration and resilience. When choosing individual plants for restoration populations, there is potentially a trade-off between maximising genetic diversity (‘adaptability’) and selection for desirable properties (‘adaptation’). This project aims to develop pioneering methods to quantify this trade-off, and facilitate the design of optimised populations, with a focus on two Australian rainforest trees that are being impacted by myrtle rust infection: Rhodamnia argentea and Rhodamnia rubescens. By studying the genetic variation in each species, and how this relates to myrtle rust resistance and climate, this project aims to design populations that are genetically diverse, maximally resistant to myrtle rust, and adapted to future climate.Read moreRead less