Algebraically informed models of biological sequence evolution. To make sense of the patterns they see in the natural world, biologists across fields as diverse as genetics, epidemiology and biogeography need an accurate picture of evolutionary history. DNA sequences provide an exciting means to establish this picture of the past, but to decode it successfully requires mathematical models of how DNA evolves. Mathematical inconsistencies have been identified with current approaches. In particular ....Algebraically informed models of biological sequence evolution. To make sense of the patterns they see in the natural world, biologists across fields as diverse as genetics, epidemiology and biogeography need an accurate picture of evolutionary history. DNA sequences provide an exciting means to establish this picture of the past, but to decode it successfully requires mathematical models of how DNA evolves. Mathematical inconsistencies have been identified with current approaches. In particular, understanding the effect of natural selection in different parts of the tree of life requires models that behave robustly in the face of shifting evolutionary processes. This project aims to use insights from algebraic methods to construct mathematically consistent models of wide biological utility.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130100423
Funder
Australian Research Council
Funding Amount
$369,061.00
Summary
Group theory and phylogenetics: exploiting symmetry to uncover evolutionary history. Using advanced algebra, structural symmetries inherent in phylogenetic methods will be studied and improved approaches will be derived. DNA sequences contain a wealth of information about evolutionary events that occurred millions of years ago, but extracting this information requires the application of robust methods.
Evolutionary, macroecological and phylogenetic patterns in Australasian freshwater crayfish. This project connects Australian systematists to a worldwide project that involves all of the world's living experts on freshwater crayfish evolution in a coordinated effort to answer some very important evolutionary questions. It involves a group of invertebrate animals that are not only readily recognisable, but which in Australia includes the world's largest and the world's most terrestrial crayfish s ....Evolutionary, macroecological and phylogenetic patterns in Australasian freshwater crayfish. This project connects Australian systematists to a worldwide project that involves all of the world's living experts on freshwater crayfish evolution in a coordinated effort to answer some very important evolutionary questions. It involves a group of invertebrate animals that are not only readily recognisable, but which in Australia includes the world's largest and the world's most terrestrial crayfish species. Information gained from the project will contribute to the management of crayfish biodiversity, identification of threatened species and tools to identify these prominent and important members of Australian freshwater ecosystems.Read moreRead less
Interpreting biological sequence information: untangling hybridisation. Hybridisation is believed to be important during adaptive radiations where species rapidly colonise new niches and respond to new environments, e.g. in times of climate change. This project will create the statistical tools and software required for evolutionary biologists to understand how hybridisation has helped shape the Australian flora.
Function and evolution of insect odorant receptors. This project aims to shed light on how insect odorant receptors function by using comparative genomic studies between the genetic model insect Drosophila melanogaster and a pest species, the Australian sheep blowfly. This project expects to generate knowledge of how specific chemicals activate specific receptors in order to excite sensory neurons and drive behaviour, which is not well understood. Expected outcomes include increased understandin ....Function and evolution of insect odorant receptors. This project aims to shed light on how insect odorant receptors function by using comparative genomic studies between the genetic model insect Drosophila melanogaster and a pest species, the Australian sheep blowfly. This project expects to generate knowledge of how specific chemicals activate specific receptors in order to excite sensory neurons and drive behaviour, which is not well understood. Expected outcomes include increased understanding of olfaction in insects, increased national and international collaboration, and outstanding graduate student training. This research will be of significant future benefit in deriving methods to modify the behaviour of insects of agricultural or medical importance, for example the sheep blowfly. Read moreRead less
Creating new stochastic models to understand the evolution of gene families. This project aims to extend stochastic modelling techniques in order to develop mathematically rigorous and biologically relevant models for the evolution of gene families. The project expects to model evolutionary processes such as gene retention, duplication and loss, and the generation of new gene functions. The duplication and subsequent re-purposing of genes is thought to be a key mechanism for generating evolution ....Creating new stochastic models to understand the evolution of gene families. This project aims to extend stochastic modelling techniques in order to develop mathematically rigorous and biologically relevant models for the evolution of gene families. The project expects to model evolutionary processes such as gene retention, duplication and loss, and the generation of new gene functions. The duplication and subsequent re-purposing of genes is thought to be a key mechanism for generating evolutionary novelty. By applying these models to genome data, the project expects to be able to quantify the importance of these different evolutionary mechanisms. The project will strengthen collaborative links between researchers in stochastic modelling and molecular evolutionary biology.Read moreRead less