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Research officer, Medical Genomics

QIMR Berghofer Medical Research Institute

I am a medicinal chemist and postdoctoral research fellow at the University of Queensland, Australia, where I obtained my BSc (Hons) with a major in organic chemistry in 2011. Following this, I worked at the Institute for Future Environments and later the Centre for Tropical Crops and Biocommodities at QUT, where I gained experience in analytical chemistry, as well as molecular biology and genetics. In 2015, I returned to UQ to begin my PhD in the design and synthesis of novel antifungals targeting invasive infection under the supervision of Prof. Craig Williams and Prof. Luke Guddat, which I completed in 2019. My combined experience in synthetic chemistry - particularly in the synthesis of heterocyclic small molecules - and molecular biology has since led to my current position at UQ under the supervision of Prof. Avril Robertson, where my focus is once again on the design and synthesis of novel antifungals. Broadly, my research interests lie in the pursuit of drug design and development campaigns addressing difficult or under-researched clinical concerns, and in particular, the use of novel bioisosteric approaches to improve drugability and drug efficacy.

More recently, I have developed an interest in Australian mushroom species. Very little recorded knowledge on our endemic mushrooms species exists. My research in this space seeks to characterise the genetic and molecular features of Australian wood rot mushrooms, which are critical players in maintaining and restoring the health of our unique forests ecosystems. With this information we aim to better understand our fungal biodiversity and the ecological roles they play, and to explore their potential uses in several industries. We are also investigating the biological activity of extracts and molecules derived from these mushrooms against models of human diseases, such as Alzheimer's, cancer, and drug-resistant microbial infections.

Prof David Ascher is currently an NHMRC Investigator and Director of the Biotechnology Program at the University of Queensland. He is also Head of Computational Biology and Clinical Informatics at the Baker Institute.

David’s research focus is in modelling biological data to gain insight into fundamental biological processes. One of his primary research interests has been developing tools to unravel the link between genotype and phenotype, using computational and experimental approaches to understand the effects of mutations on protein structure and function. His group has developed a platform of over 40 widely used programs for assessing the molecular consequences of coding variants (>7 million hits/year).

Working with clinical collaborators in Australia, Brazil and UK, these methods have been translated into the clinic to guide the diagnosis, management and treatment of a number of hereditary diseases, rare cancers and drug resistant infections.

David has a B.Biotech from the University of Adelaide, majoring in Biochemistry, Biotechnology and Pharmacology and Toxicology; and a B.Sci(Hon) from the University of Queensland, majoring in Biochemistry, where he worked with Luke Guddat and Ron Duggleby on the structural and functional characterization of enzymes in the branched-chain amino acid biosynthetic pathway. David then went to St Vincent’s Institute of Medical Research to undertake a PhD at the University of Melbourne in Biochemistry. There he worked under the supervision of Michael Parker using computational, biochemical and structural tools to develop small molecules drugs to improve memory.

In 2013 David went to the University of Cambridge to work with Sir Tom Blundell on using fragment based drug development techniques to target protein-protein interactions; and subsequently on the structural characterisation of proteins involved in non-homologous DNA repair. He returned to Cambridge in 2014 to establish a research platform to characterise the molecular effects of mutations on protein structure and function- using this information to gain insight into the link between genetic changes and phenotypes. He was subsequently recruited as a lab head in the Department of Biochemistry and Molecular Biology at the University of Melbourne in 2016, before joining the Baker Institute in 2019 and the University of Queensland in 2021.

He is an Associate Editor of PBMB and Fronteirs in Bioinformatics, and holds honorary positions at Bio21 Institute, Cambridge University, FIOCRUZ, and the Tuscany University Network.

Scott Beatson is an Associate Professor and NHMRC Career Development Fellow at The University of Queensland (UQ). He specializes in bacterial pathogenomics: using whole-genome sequencing to investigate transmission, pathogenesis and antibiotic resistance in bacteria. Recent work from his group includes genomic analyses of pandrug resistant enterobacteriaceae and the multidrug resistant Escherichia coli ST131 pandemic clone. He was awarded a PhD from UQ for his work in bacterial pathogenesis in 2002 and developed his career in bacterial genomics in the United Kingdom with the support of fellowships from the Royal Commission for the Exhibition of 1851 (University of Oxford) and the UK Medical Research Council (University of Birmingham). Since returning to Australia he has held fellowships from both the NHMRC and ARC and has led a successful research group in the School of Chemistry and Molecular Biosciences at UQ since 2008. He is also a member of the Australian Infectious Diseases Research Centre and the Australian Centre for Ecogenomics. In 2016 he received the Frank Fenner Award from the Australian Society for Microbiology in recognition of his contribution to microbiology research in Australia.

Mikael Bodén has a PhD in Computer Science and statistical machine learning from the University of Exeter (UK) but has spent the last decade and a half in biological research environments, including the Institute for Molecular Bioscience/ARC Centre of Excellence in Bioinformatics and the School of Chemistry and Molecular Biosciences, where he is currently located. He is the director of UQ’s postgraduate program in bioinformatics. Mikael Bodén has supervised 7 postdocs from funding he received from both ARC and NHMRC; he has been the primary advisor for 11 PhD and 3 MPhil graduates; he is currently supervising another 6 PhD students in bioinformatics and computational biology. Mikael Bodén collaborates with researchers in neuroscience, developmental biology, protein engineering and bioeconomy to mention but a few, and contributes expertise in the processing, analysis and integration of biological data; this is exemplified by recent publications in Science, Nature Catalysis, Nature Communications, Cell Systems, Nucleic Acids Research and Bioinformatics.

Dr Sandra Brosda is a Research Fellow within the Surgical Oncology group led by Professor Andrew Barbour.

Dr Brosda was awarded a PhD in bioinformatics and cancer genetics from the University of Queensland in November 2020. Her research focused on biomarker discovery and intra-tumour heterogeneity and tumour evolution in oesophageal adenocarcinoma (OAC). In 2021, Dr Brosda was awarded a Cure Cancer Australia PdCCRS grant and an MSH project grant to further investigate tumour evolution to improve precision medicine in OAC.

She has been involved in research projects covering genetics, epigenetics, spatial transcriptomics, radiomics, ctDNA and quality of life assessments in the context of cancer. Overall, her research applies bioinformatics tools and approaches to cancer genomics to improve precision medicine and health outcomes for patients with melanoma, oesophago-gastric cancer and pancreatic cancer.

Dr Chan has a PhD in Genomics and Computational Biology from UQ. He underwent postdoctoral training at Rutgers University (USA) in algal genomics and evolution. He returmed to UQ in late 2011 as one of the inaugural Great Barrier Reef Foundation Bioinformatics Fellows.

Dr Chan joined the School of Chemistry and Molecular Biosciences in 2020 as a group leader at the Australian Centre for Ecogenomics (ACE). His group uses advanced computational approaches to study genome evolution and develop scalable approaches for comparative genomics.

Dr Seth Cheetham is an ARC Discovery Early Career Award Fellow and group leader at the Australian Institute for Bioengineering and Nanotechnology. He is also the Deputy Director of the BASE facility, Australia's leading mRNA manufacturing hub. He completed his PhD at the University of Cambridge, supported by the Herchel Smith Research Studentship. Seth is a molecular biologist and geneticist with a focus on mRNA drugs, synthetic biology and epigenetics. He has authored 22 publications, including twelve as a first author and four as a corresponding author. He has published in some of the most influential molecular biology journals including Science, Molecular Cell, Nature Reviews Genetics , Genome Biology and Nature Structural and Molecular Biology. His work has attracted > $10M in funding from an ARC DECRA (2022), NHMRC Fellowship (2019), MRFF grants, UQ HERA Grant, a Cancer Australia Grant (2021), Mater Foundation seeding grant (2019), a UQ ECR grant (2019) and the UQ Genome Innovation Hub (2020). In 2021 Seth was awarded the Genetics Society of Australasia Alan Wilton ECR awarded for his research in the field of RNA and epigenetics.

David is a Consultant Paediatrician, Metabolic Physician, Clinical Geneticist and clinician researcher. His area of expertise is the diagnosis and management of children with rare diseases. David is involved in multiple ongoing research projects aimed at novel disease discovery, improved diagnostic testing and treatments for children with inherited genetic disorders. He is director of a national clinic for Ataxia Telangiectasia brashat.org.au and has recently been awarded a $2.5 million NHMRC research grant for a phase 2/3 trial for treatment of this disorder.

Evolutionary and ecological genomics of marine invertebrate animals.

Animals evolve because their genomes need to respond to the constantly changing environment presented by both their external habitat and their internal microbial symbionts. Over evolutionary time, these different factors interact during development, when the animal body plan is being established, to generate the extraordinary animal diversity that graces our planet. In ecological time, early life history stages must detect and respond to the precise nature of their environment to generate a locally-adapted functional phenotype. Using coral reef invertebrates from phyla that span the animal kingdom, we study these gene-environment interactions using genomic, molecular and cellular approaches combined with behavioural ecology in natural populations. We work mostly with embryonic and larval life history stages of indirect developers, as these are crucial to the survival, connectivity, and evolution of marine populations. When not immersed in the molecular or computer lab, we are lucky enough to be immersed in the ocean, often in beautiful places!

Paul Dennis leads an exciting research group that applies cutting-edge technologies to understand the roles of microorganisms and their responses to environmental change.

He is also a passionate educator and public speaker who advocates for the importance of biological diversity and evidence-based environmental awareness. He has talked about his research on ABC Radio and a range of other media outlets.

His teaching covers aspects of ecology, microbiology, plant and soil science, and climatology. He considers these topics to be of fundamental importance for the development of more sustainable societies and takes pride in helping others to obtain the knowledge and skills they need to build a better future.

Paul's research has taken him to Antarctica, the Amazon Rainforest, high mountains and oceans. The approaches used in his lab draw on a wide range of expertise in molecular biology, ecology, statistics, computer science, advanced imaging and soil science. He applies these skills to a wide-range of topics and systems including plant-microbe interactions, Antarctic marine and terrestrial ecology, biogeography, pollution and human health.

Genetics of mental health (new research)

We are using the genetic model organism, C. elegans, do investigate the genetic basis of both normal and disordered behaviour. Our current interests are identifying the genes responsible for anxiety and depression as well as the genes for eating disoders and addiction. Using C. elegans as a model organism will also allow us to study gene function as it relates to behaviour.

Molecular mechanisms of phosphine resistance (other research)

Genetic mapping of oxidative stress resistance genes. The fumigant phosphine disrupts oxidative metabolism, resulting in the production of reactive oxygen intermediates. This causes the premature ageing and death of targeted pests. Insect pests of stored grain in Australia now exhibit resistance to phosphine at levels more than 200 times the normal lethal dose.

We have genetically mappedf and identified the genes responsible for phosphine resistance in tall major insect pests of stored grain. We are using a systems biology approach in the model organism C. elegans to understand the molecular basis of phosphine action. Our genetic studies have recently shown that resistance to phosphine is associated with an extension of lifespan

Dr. Forutan is an internationally recognized Researcher. Her research area includes understanding the bovine genome and epigenome, discovering causative mutation underlying economic important traits such as fertility, understanding the way genes turn on and off, investigating different methodologies to improve the accuracy of genomic prediction, and optimizing methods for predicting genetic diversity and inbreeding. Her future research career vision is to make a significant contribution to creating new knowledge in the field of quantitative genetics that can help to improve efficiency and resilience in Livestock.

Alesha Hatton is a postdoctoral research fellow specializing in statistical genetics and genetic epidemiology at the Institute for Molecular Bioscience, University of Queensland. Currently, her research focuses on understanding the genetic and environmental aetiology underlying complex traits through use of Mendelian randomization and statistical genetics methodologies. Her PhD was in systems genomics, applying quantitative genetics methods to investigate the role of DNA methylation in complex trait variation. Alesha has a bachelor’s degree in medical mathematics from the University of Wollongong (2016) and previously was employed as a statistician at the South Australian health and Medical Research Institute.

Valentin was awarded a PhD from the French National Institute of Higher Education in Agricultural Sciences and the University of Montpellier (France) in 2018. His thesis focused on methodological developments for genetic differentiation analysis in the Next Generation Sequencing era in a neutral and adaptive context. Since 2019, he works as a post-doctoral researcher at the University of Queensland in the Program in Complex Trait Genomics group under the supervision of Professor Peter Visscher. His current research focuses on studying the within and between-population genetic variation in human complex traits.

Clara Jiang is a postdoctoral research fellow at the Institute for Molecular Bioscience, the University of Queensland. Clara’s research focuses on using genomic and transcriptomic analysis to investigate the genetic basis of cardiovascular and psychiatric disorders, with a particular focus on female health, as well as using statistical genomic approaches to explore possible opportunities for drug repurposing. Clara graduated from the University of Queensland with Bachelor of Advanced Science (First Class Honours) in 2017, and was awarded the University Medal. Clara was awarded her PhD at the University of Queensland in 2021, where she utilised bioinformatic approaches and molecular experiments to decipher the genetic aetiology of breast cancer, specifically the regulatory role of transposons or ‘jumping genes’ in modulating the transcriptional landscape in the cancer state. Clara is also a UQ Wellness ambassador and an advocate for promoting equity, diversity and inclusion in academia.

I am a computational biologist with a centre-wide research role in the ARC Centre of Excellence for Plant Success in Nature and Agriculture, based here at UQ. I spend my time researching new computational techniques for predicting complex quantitative traits by integrating multiple layers of 'omics data (amongst dozens of other things!).

Areas of interest:

• Machine Learning, AI and high performance computing to learn and exploit functional connectivity in biological data
• Gene Expressions networks
• Multiplex networks, information propagation and perturbation
• Genomic Prediction

My goal is to aid crop and forestry breeders in selecting parental lines more accurately, which gives us a pathway to improving certain plant species. I also spend time developing new data analysis techniques that are being applied to human disease and conditions such as Autism and substance addiction.

David completed his PhD at Australian National University in 2017, focusing on the genome-wide basis of foliar terpene variation in Eucalyptus. He then undertook a postdoc at Oak Ridge National Laboratory, a US Dept of Energy lab with a focus on big data. After a stint as a staff scientist at Oak Ridge, David arrived at the Centre of Excellence in 2023 in the role of a Senior Research Fellow.

Dr. Guoquan Liu has more than ten years experience in sorghum tissue culture and genetic transformation. He developed a highly efficient sorghum particle transformation system in 2012. Since then, hundreds of transgenic plants have been regenerated from tens of constructs that are invoved in plant disease resistant genes (e.g. Lr34), report gene (gfp), specific-promoters (e.g. alpha- beta- kafirin, A2, LSG), G proteins etc.. He has trained many students how to transform sorghum including honor students, master students, and PhD students.

He has focused on improving sorghum grain yield and grain quality through biotechnologies including genetic transformation, genome-editing, synthetic biology, and plant apomixis.

Bio

Dr. Yang Liu is an evolutionary geneticist, currently working at the University of Queensland (UQ) as a Research Fellow. Prior to UQ, he obtained a PhD from the University of British Columbia (UBC) and did a postdoc research at UBC and University of Cambridge. He is broadly interested in the eco-evolutionary dynamics of plant populations that have undergone environmental heterogeneity over spatiotemporal scales. The goal of his research is to increase our understanding of the impacts of major episodes in plant demography and life histories on trait evolution and to foster sustainability. He tackles research questions at the interface between ecology and evolutionary biology with the integration of population genetics and quantitative genomics to elucidate the ecological and genetic basis of phenotypic traits and biological adaptation.

Currently, he leverages available Arabidopsis natural accessions across its geographic distribution range, coupled with their genomic data, to perform common-garden and divergent selection experiments. From these he aims to dissect features of the genetic architecture of traits and to reveal their relationships to environmental conditions. He is focusing on the shoot branching phenotype and its associated traits including flowering timing.

ECO-EVO-GENOMICS TEAM

Ongoing Projects

Three PhD positions available in 2023-2025

Project 1: Unification of selection and inheritance informs adaptive potential for generations to come (Applications open in 2023; CLOSED)

Natural selection acts on phenotypes and produces immediate phenotypic effects within a generation. In this short-term process, some phenotypes are more successful than others. Use of single traits for selection analysis could generate opposing outcomes and cannot predict how selection operates on an organism. In contrast, multivariate selection in trait combinations utilizes the attribute of functional integrations to reveal how selection works in a multi-dimensional trait space. Selection is an important force driving evolution but not equal to evolution; the latter leads to changes in genetic variation. Only through assessment of the evolutionary responses of phenotypes can we understand the transmission of such selection from one generation to the next. How does selection occurring within a generation affect evolution across generations? In the project, we aim to address the question by unifying the two processes to forecast evolutionary potential in relation to selection. To that end, we partition genetic variance into components based on an experimental design, employ experimental evolution to estimate additive genetic variance-covariances (G) on quantitative scales and evaluate G-matrix evolution. We eventually hope to elucidate how populations subjected to artificial selection move along evolutionary trajectories and whether there are genetic constraints making the fitness optimum evolutionarily inaccessible.

Project 2: Genetic and ecological bases of shoot branching divergence across Arabidopsis species-wide accessions (Applications open in 2024)

Spatial patterns of genetic variation are shaped by environmental factors, topological features, and dispersal barriers. As a result, we often can identify population genetic structure stratified by geographic locations or ecological niches, the drivers of population isolation by distance or the environment, clinal genetic variation over space in alignment with gradually varying environment gradients, and adaptive genetic variation in relation to environmental variables. At the ecological level, assembly rules uncover the coordination of phenotypic traits along environmental clines. Tradeoffs between traits represent the consequence of environmental filters and reflect adaptation to environmental heterogeneity. For example, three fundamental adaptive strategies are delineated by a CSR theory, that is, Competitors, Stress-tolerators, and Ruderals. As such, ways of genetic and phenotypic assemblage over space and throughout time point to a role for natural selection driven by spatially varying environmental conditions to maintain genetic variation that confers natural variation in phenotypes. In this project, we focus on an important agronomic trait – shoot branching – due to its important contribution to the overall shoot architecture of a plant and being a potential target for yield optimization. We aim to dissect features of the genetic architecture of the trait and to reveal its relationships to environmental conditions. We integrate geographic, environmental, and genomic data from the 1001 Arabidopsis Genomes Project, coupled with the branching phenotype measured in selected accessions and then forecasted for the rest of the 1001 accessions using machine-learning models, to investigate the ecological relevance and genetic underpinnings of branching divergence across the Arabidopsis species-wide accessions. Our study has implications for enhancing our understanding of the genetic and ecological basis of shoot branching divergence and the potential for generating novel knowledge for improving phenotypic predictability.

Project 3: Dimensionality, modularity, and integration: Insights from the architecture features of pan-genomes, pan-transcriptome, pan-epigenomes, and pan-chromatin (applications open in 2025) Application Portal ALSO ACCEPTING EXPRESSION OF INTEREST FROM INTERNATIONAL APPLICANTS

Organisms are functionally integrated systems, where interactions among phenotypic traits make the whole more than the sum of its parts. How is a suite of traits assembled into an adaptive module? How is an intramodule rewired to form a regulatory network? What is the persistence and stability of a module under exposures to perturbations triggered by altered interactions between the response to disparate environmental conditions or between the responses of multiple traits to the same environment? What constrains modules to vary independently, reflecting the integration and canalization of evolutionary trajectories? In this project, we utilize a compilation of pan-genomes, pan-transcriptome, pan-epigenomes, and pan-chromatin resources of Arabidopsis thaliana to uncover how dimensionality, modularity, and integration are organized at different omics levels including genetic polymorphisms, structural variants, RNA isoforms, expression abundance, epigenetic imprinting, and chromatin accessibility. Ultimately, we apply such functional elements to multivariate genomic selection, in the hope of enhancing multilayered omics-enabled prediction.