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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

Three PhD positions available in 2023-2025

Ongoing Projects

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; CLOSED)

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.

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.

Dr Quan Nguyen is a Group Leader at the Institute for Molecular Bioscience (IMB), The University of Queensland. He is leading the Genomics and Machine Learning (GML) lab to study neuroinflammation and cancer-immune cells at single-cell resolution and within spatial morphological tissue context. His research interest is about revealing gene and cell regulators that determine the states of the complex cancer and neuronal ecosystems. Particularly, he is interested in quantifying cellular diversity and the dynamics of cell-cell interactions within the tissues to find ways to improve cancer diagnosis or cell-type specific treatments or the immunoinflammation responses that cause neuronal disease.

Using machine learning and genomic approaches, his group are integrating single-cell spatiotemporal sequencing data with tissue imaging data to find causal links between cellular genotypes, tissue microenvironment, and disease phenotypes. GML lab is also developing experimental technologies that enable large-scale profiling of spatial gene and protein expression (spatial omics) in a range of cancer tissues (focusing on brain and skin cancer) and in mouse brain and spinal cord.

Dr Quan Nguyen completed a PhD in Bioengineering at the University of Queensland in 2013, postdoctoral training in Bioinformatics at RIKEN institute in Japan in 2015, a CSIRO Office of Chief Executive (OCE) Research Fellowship in 2016, an IMB Fellow in 2018, an Australian Research Council DECRA fellowship (2019-2021), and is currently a National Health and Medical Research Council leadership fellow (EL2). He has published in top-tier journals, including Cell, Cell Stem Cell, Nature Methods, Nature Protocols, Nature Communications, Genome Research, Genome Biology and a prize-winning paper in GigaScience. In the past three years, he has contributed to the development of x8 open-source software, x2 web applications, and x4 databases for analysis of single-cell data and spatial transcriptomics. He is looking for enthusiastic research students and research staff to join his group.

Dr. Nguyen is an expert in applying long-read Oxford Nanopore Sequencing Technologies (ONT) in agriculture, particularly livestock and other sectors. Her groundbreaking contributions include being the pioneer in sequencing the genomes of Brahman and Wagyu cattle, developing an innovative epigenetic clock for age prediction in cattle, and successfully implementing ONT portable sequencers for Blockchain traceability systems in Australia.

As a leader in the field, Dr. Nguyen spearheads the use of ONT long-read technology to scaffold genome assemblies in livestock, plants, protists, and insects. Her multidisciplinary expertise in molecular biology, advanced genomics, and animal sciences also empowers her to explore causative markers for commercial SNP arrays and identify significant DNA variants from low-coverage sequencing data sets.

Dr. Nguyen's exceptional achievements and expertise have been acknowledged through the prestigious ARC Industry Fellowship, recognising her as a promising early career researcher. Her work has significantly contributed to advancing genomic research in agriculture and has opened new avenues for utilising ONT sequencing technologies across diverse domains.

Career Summary: 2009: PhD, University of Michigan, USA with training in cardiac physiology, modelling myocardial ischemia in vivo and in vitro, and development of therapeutic approaches for myocardial ischemia; 2009–2015: Postdoctoral Research Fellow, University of Washington, Institute for Stem Cell and Regenerative Medicine, USA with training in stem cell biology, genomics, genome editing, and cell therapeutics for ischemic heart disease; 2015–current: Group Leader, University of Queensland (UQ), Institute for Molecular Bioscience; 2022-current: Associate Professor, UQ; 2018–2021 and 2023-2026: National Heart Foundation Future Leader Fellow. Dr. Palpant’s research team has expertise in human stem cell biology, computational genomics, and cardiac physiology, which enables them to translate outcomes from cell biology and genomics to disease modelling, drug discovery, and preclinical modelling.

I am a molecular virologist and postdoctoral research fellow in Prof. Alexander Khromykh's laboratory, specialising in virus evolution, virus bioinformatics, and reverse genetics.

My research journey began with a Bachelor of Science, First Class Honours in Molecular Biology from The University of Queensland (2015). I then pursued my PhD (2016-2021) at UQ's School of Biology under Prof. Sassan Asgari, where I analysed the virome and microbiome of Aedes aegypti and Aedes albopictus mosquitoes, focusing on their interactions with Wolbachia pipientis infections.

Since 2021, I have been a postdoctoral researcher in Prof. Alexander Khromykh's RNA Virology lab. Here, I contributed to developing the SARS-CoV-2 circular polymerase extension reaction (CPER) reverse-genetics methodology. As a physical containment 3 (PC3) researcher, I examine the virological properties of Flaviviruses and SARS-CoV-2 viruses under stringent PC3 conditions. Recently, with support from Therapeutic Innovation Australia and the Australian Infectious Diseases Research Centre, I have been utilising the Kunjin virus replicon system as a versatile and durable self-replicating RNA platform for vaccine and protein replacement therapy.

Beyond my virology work, I actively provide bioinformatics and phylogenetics support within UQ and internationally. Let's connect if you’re interested in collaborating on differential gene and ncRNA expression analysis, ATAC-sequencing, ancestral state prediction, virus discovery, or microbiome analyses.

I am also on the organising committee of MicroSeq (2023-2024), an Australasian Microbiology conference focused on microbial sequencing promoting PhD students and early career researchers. Additionally, I am an incoming Ex Officio member of the Australian Society for Microbiology (ASM) Queensland branch.

My group's research uses large-scale genomic data to address knowledge gaps in disease, with a particular focus on cardiovascular disease.

Research programme

1. Cardiovascular disease research using big-data and genomics: with the goal of improving prevention and treatment of cardiovascular disease. By focusing on underrepresented groups, including women, my research aims to also address inequity in cardiovascular outcomes. I am the lead of the South Asian Genes and Health in Australia (SAGHA) study, which aims to increase representation of Australian South Asians in cardiovascular and genomics research. See saghaus.org for further details.

2. Drug genomics: I'm interested in using genomic approaches to predict drug effects, including identification of drug repurposing opportunities as well as identifying unknown adverse effects of medication.

3. Liver transplant research: In this collaboration with the QLD Liver Transplant Unit, we are using genomics to understand the effect of normo-thermic perfusion (a new organ storage method) on liver function, with the long-term goal of improving our ability to predict transplant outcomes.

Career summary: I was awarded my PhD from University College London (UK) in cardiovascular genetics. I began my post-doctoral fellowship under the mentorship of Prof Peter Visscher at the Queensland Brain Institute in 2013. Between 2016-2018, I was the lead analyst for the International Heart Failure Genetics Consortium (HERMES). In 2018, I was awarded an NHMRC Early Career Researcher Fellowship to investigate the relationship between cardiovascular and brain-related disorders using large-scale genetic and genomic data, under the mentorship of Prof Naomi Wray. I currently hold a National Heart Foundation Future Leader Fellowship.

Recognition:

2024 Australian Academy of Science Ruth Stephens Gani Medal for outstanding contribution to genetics research

2023 1 of 5 global finalists for the Nature Inspiring Women in Science (Scientific Achievement Award)

2023 Lifesciences QLD Rose-Anne Kelso Award

2023: Named in Australia's Top 25 Women in Science by Newscorp

2022 Queensland Young Tall Poppy Award

2022 UQ Foundation Research Excellence Award

2021/2022 Australian Superstar of STEM,

2020 Genetic Society of Australasia Early Career Award

2020 Women in Technology Rising Star Science Award

Dr Shapter's background was originally in Agricultural Science and higher education which evolved to the completion of her PhD in molecular genetics in 2008. Prior to her current appointments she was the senior researcher on ARC linkage, Australian Flora Foundation and RIRDC research grants looking at the genetic foundations of domestication and adaptation in Australian native grasses. She supervised two HDR students and has a strong publication record in this field. Her research interests centre on identifying and developing practical applications for gene sequencing. Fran is passionate about teaching and has worked as a facilitator commercially and trained early career researchers and PhD candidates in Project Management, IP and commercialisation and Leadership. She was a participant in the 2020 summit and was appointed to the federal advisory Rural R&D Council in 2009. Dr Shapter was also a sitting member of the Office of the Gene Technology Regulator's Ethics and Community Consultative Committee, 2016-2020.

Fran began tutoring at the UQ School of Veterinary Science in 2011, in large animal production, parasitology and microbiology. Since then she has held a variety of teaching, research and professional roles based around project management, curriculum design and blended learning design. She was the project manager for a Scholarship of Teaching and Learning (SoTL) grant which developed 40 vertically and horizontally integrated, online, adaptive tutorials for veterinary science students and was co-author on the manual developed by this project. She assisted with the development of a new flexible delivery laboratory animal science course in 2015 and delivers 5 weeks of online learning units into this course currently. She has been part of the SoTL research and evaluation associated with both these projects and has reported outcomes at University showcases annually since 2016.

In 2017 Fran became the new Student Clinical Skills Hub Coordinator, a purpose-built, state-of-the-art self-directed learning facility for students of veterinary science. Whilst undertaking this role student usage, resource availability and online support for the Hub has increased more than tenfold. Fran's aim is to provide a safe, authentic, self-directed learning environment where students can practice their clinical skills in accordance with individual competences, beyond the scheduled contact hours of their programs and further enhance their capacity for self-directed, lifelong learning whilst acknowledging the vast array of qualifications, previous training, life experience and cultural backgrounds each student brings with them to the Hub.In 2020 Fran recieved a UQ Teaching Excellence Award due to the demonstarted impact of the SVS Student Clinical Skills Hub.

In 2019 Fran was appointed as a Lecturer in Veterinary Science, while continuing her role as the Hub's coordinator. She continues to maintain her teaching roles into the veterinary program in animal handling, animal production, reproduction, microbiology, parasitology and plant identification. Fran has an additional role in the School with regard to asissting with the design, development and integration of blended learning resources, after working with the Science faculties blended learning design team in 2018. However her SoTL portfolio is best showcased by the development of the online learning community and training resources she has developed for the Student Clinical Skills Hub. As of June 2021, Fran has also taken on the role of the School of Veterinary Science Honours Program Coordinator.

RESEARCH INTERESTS Fire Ecology, Restoration Ecology, Ecological Genomics, Wildlife Science, Conservation Biology, Invasive Plants

My research group studies fire ecology and conservation biology. Currently, we are working on:

• Using fire to benefit plant biodiversity and manage invasive plants
• Predicting effects of changing fire regimes on plant-animal interactions
• Native grassland restoration
• Biodiversity in agricultural landscapes

We have a special interest in plants and animals living in fire-prone areas because of the fascinating fact that these ecosystems are never static but continually re-shaped by cycles of fire and regeneration. While being grounded in fundamental biology and ecological theory, our research is always aimed at improving knowledge for biodiversity conservation. Our work has applications in fire management, biological invasion and threatened species conservation.

TECHNICAL APPROACHES: POPULATION GENETICS | SPATIAL LANDSCAPE GENETICS | DEMOGRAPHIC SIMULATION MODELLING | STATISTICAL MODELLING OF POPULATIONS & COMMUNITIES | BIOINFORMATICS | SPATIAL ANALYSIS IN R | We also know how to drop a hand-made 1 x 1 m polypipe quadrat on the ground and do good old-fashioned field work.

TEACHING: I teach ecology, wildlife science and environmental science at UQ. My teaching and coordination activities have included Elements of Ecology (AGRC1032), Wildlife Technology (ANIM3018) and People Fire & Environment (ENVM3215 / ENMV7530).

EDITORIAL I am Associate Editor for Wildlife Letters (2023–)

I was Associate Editor for Journal of Applied Ecology for four years (2018–2022).

CURRICULUM VITAE

• 2019 – current Lecturer, University of Queensland
• 2018 – 2022 Associate Editor, Journal of Applied Ecology
• 2018 – 2019 Marie Skłodowska-Curie Research Fellow, Trinity College Dublin
• 2016 – 2017 Post-doctoral Research Fellow, Trinity College Dublin
• 2015 – 2016 Post-doctoral Research Assistant, University of Melbourne
• 2015 – 2016 Self-employed Consultant Ecologist, Canberra
• 2012 – 2014 Post-doctoral Research Fellow, Australian National University

EDUCATION

2012 PhD in Ecology, Australian National University

2006 BSc in Biodiversity Conservation Honours, Flinders University

2005 BSc in Biodiversity Conservation, Flinders University

My research interests are at the intersection of plant developmental genetics, functional genomics, and molecular and systems biology, following my doctoral and postdoctoral training in the USA. The research effort in my group is focused on harnessing transformative genomics technology to understand the genetics of plant development, and to discover regulatory mechanisms coordinating plant growth and development. We utilize a variety of plant species in our research, from the model plant organism Arabidopsis to grain and horticultural crops like wheat, mango, avocado and macadamia. We employ a range of techniques based on high throughout DNA sequencing to explore gene expression, chromatin accessibility and modifications from single cell to whole plant levels, bioinformatics and computational biology tools to infer genetic components of gene regulatory networks, as well as gene editing technology to evaluate phenotipic consequences of perturbations in gene regulatory networks.

I have a keen interest in the evolutionary relationships that underpin symbioses, particularly those involved in plant disease. There are countless examples of how diseases have impacted on different crops throughout history, and this is an ongoing issue that deleteriously impacts food security. My research involves developing a better understanding of the epidemiology of plant diseases and pests, and delivering improved diagnostics and field management. Working with collaborators and international experts, my work involves research on a broad range of plants that are affected by bacteria, fungi, oomycetes and viruses. I have a strong interest in the biotic factors that govern soil health and the methods by which we can promote the development of beneficial microbial communities.

Dr Jian Zeng is a statistical geneticist and NHMRC Emerging Leadership Fellow at the Institute for Molecular Bioscience (IMB) at the University of Queensland (UQ). He received his PhD in animal breeding and genetics at Iowa State University and joined the Program in Complex Trait Genomics (PCTG) at UQ in 2016. His research focuses on the development and application of innovative statistical methods for estimating the genetic architecture and evolutionary signals in complex traits, identifying genetic variants, genes and other molecular intermediates associated with phenotype variation, and predicting trait phenotypes using genome sequence data. In 2019, he was awarded an NHMRC Investigator Emerging Leadership Grant to develop statistical methods and software tools for best predict an individual’s disease risk using genomic and omics data. He was an invited speaker at the prestigious Gordon Research Conference in 2019.