Discovery Early Career Researcher Award - Grant ID: DE190101052
Funder
Australian Research Council
Funding Amount
$372,959.00
Summary
All you can eat: evolution of feeding in the largest animals on Earth. This project aims to establish how Baleen whales, the largest animals on Earth and major ecosystem engineers, evolved their signature filter-feeding strategy. Unlike other mammals, whales are toothless, and instead use a keratinous, comb-like sieve to filter vast amounts of small prey from seawater. Various approaches, including biomechanics, three-dimensional imaging, geochemistry and quantitative palaeobiology will unravel ....All you can eat: evolution of feeding in the largest animals on Earth. This project aims to establish how Baleen whales, the largest animals on Earth and major ecosystem engineers, evolved their signature filter-feeding strategy. Unlike other mammals, whales are toothless, and instead use a keratinous, comb-like sieve to filter vast amounts of small prey from seawater. Various approaches, including biomechanics, three-dimensional imaging, geochemistry and quantitative palaeobiology will unravel how and when filter feeding emerged, how it diversified over time, and whether its evolution correlated with past environmental change. The project is expected to reveal clues on how whales became one of the greatest ecological actors in the sea, and will benefit conservation by providing a glimpse into their future.Read moreRead less
Shape-shifting birds: a novel consequence of climate change. This project aims to identify which species are affected by climate change, and whether these changes in their ecology enhance or decrease fitness and survival. Climate change is having drastic effects on animal biology, threatening many species. Recent data suggest that changes in body shape (the size of appendages) is one such effect. By studying the bills and legs of birds this project aims to investigate changes in body shape as a ....Shape-shifting birds: a novel consequence of climate change. This project aims to identify which species are affected by climate change, and whether these changes in their ecology enhance or decrease fitness and survival. Climate change is having drastic effects on animal biology, threatening many species. Recent data suggest that changes in body shape (the size of appendages) is one such effect. By studying the bills and legs of birds this project aims to investigate changes in body shape as a biological response to climate change. This project will model the predicted consequences of changes in body shape on population trends in Australian birds, enabling the prediction of which species are most threatened by climate change, and helping inform conservation priorities.Read moreRead less
Coevolution of sundew bugs and sundews. This project aims to conduct a study of insect-plant interactions to determine if insects and plants coevolve or if they diversify by other evolutionary processes. Insect-plant coevolution is a hotly contested field in evolutionary biology. In Australia, a remarkable interaction exists between carnivorous plants and a group of bugs that steal the plant’s prey. This system offers a great opportunity to test competing coevolutionary theories through a combin ....Coevolution of sundew bugs and sundews. This project aims to conduct a study of insect-plant interactions to determine if insects and plants coevolve or if they diversify by other evolutionary processes. Insect-plant coevolution is a hotly contested field in evolutionary biology. In Australia, a remarkable interaction exists between carnivorous plants and a group of bugs that steal the plant’s prey. This system offers a great opportunity to test competing coevolutionary theories through a combination of historical and ecological approaches. The project expects to showcase the evolution and uniqueness of Australia’s native biota.Read moreRead less
Nowcasting outbreaks leveraging genomic and epidemiological data. This project aims to inform outbreak response planning by developing new models of infectious disease outbreaks. The project expects to generate new knowledge on the processes driving ongoing outbreaks including those of the novel coronavirus (COVID-19) and African swine fever by integrating the latest advances in Bayesian outbreak inference alongside unique simulation approaches. Expected outcomes should include a shift in how mo ....Nowcasting outbreaks leveraging genomic and epidemiological data. This project aims to inform outbreak response planning by developing new models of infectious disease outbreaks. The project expects to generate new knowledge on the processes driving ongoing outbreaks including those of the novel coronavirus (COVID-19) and African swine fever by integrating the latest advances in Bayesian outbreak inference alongside unique simulation approaches. Expected outcomes should include a shift in how models are developed and used to inform the response to outbreaks as they unfold. This should enable more rapid outbreak containment in Australia and overseas, leading to reduced impacts on public and animal health, and associated industries.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
Discovery Early Career Researcher Award - Grant ID: DE220101296
Funder
Australian Research Council
Funding Amount
$397,908.00
Summary
Diving into deep-time: macroevolutionary patterns of aquatic tetrapods. This project aims to compare and contrast the broad-scale evolutionary patterns of the disparate lineages of aquatic tetrapod (e.g. whales, penguins, plesiosaurs). This project expects to generate new knowledge by utilising cutting-edge methods from several fields, e.g. three-dimensional scans, phylogenetic comparative methods and functional morphology. Expected outcomes include multiple high-quality publications and the dev ....Diving into deep-time: macroevolutionary patterns of aquatic tetrapods. This project aims to compare and contrast the broad-scale evolutionary patterns of the disparate lineages of aquatic tetrapod (e.g. whales, penguins, plesiosaurs). This project expects to generate new knowledge by utilising cutting-edge methods from several fields, e.g. three-dimensional scans, phylogenetic comparative methods and functional morphology. Expected outcomes include multiple high-quality publications and the development of new local and international collaborations. This will provide significant benefits, including revealing aquatic tetrapod evolution on an unprecedented scale and a better understanding of how some of Australia’s most iconic animals respond to global change, helping inform eco-tourism and conservation policies.Read moreRead less
Comparative biosecurity informatics to anticipate invasive species threats. Invasive species cause billions in economic damages to Australia, but we do not have effective means to identify dangerous species before they arrive and cause harm. This project aims to overcome this challenge using the latest techniques in machine learning combined with genetic, ecological, and functional datasets for thousands of species. This project expects to generate a novel framework that allows us to identify an ....Comparative biosecurity informatics to anticipate invasive species threats. Invasive species cause billions in economic damages to Australia, but we do not have effective means to identify dangerous species before they arrive and cause harm. This project aims to overcome this challenge using the latest techniques in machine learning combined with genetic, ecological, and functional datasets for thousands of species. This project expects to generate a novel framework that allows us to identify and rank dangerous invasive species in an unbiased way, helping to safeguard Australia's unique biological community. Expected outcomes include improved methods for detecting ecologically and functionally similar species, providing substantial economic efficiency benefits to Australian biosecurity.Read moreRead less