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Ecological interactions in Antarctic ecosystems

Antarctic and sub-Antarctic terrestrial ecosystems are dominated by mosses, lichens, invertebrates and some vascular plants. Marine vertebrates (penguins, seals, seabirds) also play an important role in driving terrestrial processes. All these species are influenced by many environmental and biotic factors, including interactions between species. Determining the impacts of climatic and environmental change on Antarctic and sub-Antarctic biodiversity requires greater understanding of these interactions.Ecological data on species interactions and the drivers of these interactions are an essential part of Antarctic and …

Study level
PhD
Faculty
Faculty of Science
School
School of Biology and Environmental Science
Research centre(s)
Centre for Data Science
Centre for the Environment

Identifying emergent ecosystem responses through genes-to-ecosystems integration at Stordalen Mire

Permafrost thaw induced by climate change is predicted to make up to 174 Pg of near-surface carbon (less than 3m below the surface) available for microbial degradation by 2100. Despite having major implications for human health, prediction of the magnitude of carbon loss as carbon dioxide (CO2) or methane (CH4) is hampered by our limited knowledge of microbial metabolism of organic matter in these environments.Genome-centric meta-omic analysis of microbial communities provides the necessary information to examine how specific lineages transform …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)

Centre for Microbiome Research

Using machine learning to understand how the world’s microbiomes are changing due to climate

Shotgun metagenomic sequencing has become commonplace when studying microbial communities and their relationship with the health of our planet, and their direct effects on our own health. Currently, there are >180,000 shotgun metagenomes publicly available, but until recently trying to treat these data as a resource has been challenging due to its extreme size (>700 trillion base pairs).Recently we have developed a tool that can efficiently convert this base pair information into a straightforward assessment of which microorganisms are present …

Study level
Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)

Centre for Microbiome Research

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