Genes beyond organisms: Using machine learning and pan-omic datasets to unravel the complex perception/ response systems of plants during microbial symbiosis

Plant roots are constantly bombarded by signals from thousands of different microbes within the soil - some of these signals are from beneficial symbiotic microbes and others are from pathogenic organisms. The perception/response system of the plant that enables filtering of these myriad signals is still a developing area of research. This project will integrate genomic, transcriptomic, proteomic and metabolomics data to identify putative perception systems in plants that enable them to differentiate between beneficial and pathogenic microbes. One of these putative pathways will be functionally tested through chemical and mutagenic analyses. Ultimately, these

Results will improve our understanding of how genes encoded by plants affect organisms beyond the physical limits of the plant. The successful student will obtain skills in genomics, network analysis, molecular biology and plant physiology.

Criteria

Hold qualifications and experience equal to one of the following (i) an Australian First Class Bachelor Honours degree, (ii) coursework Masters with at least a 25% research component , (iii) a Research Masters degree or (iv) equivalent overseas qualifications.
International applicants must also demonstrate a high level of proficiency in the English language. Please refer to the English language requirements at www.westernsydney.edu.au/ international/home/admissions/entry_requirements

How to apply

Discuss eligibility and interests with the contact nominated. Contact the Graduate Research School at [Email Address Removed].
Please submit an application form, CV, names and contact information of two referees, and a one-page document stating how your research interests align with the project’s aims.