GEN3040 · Genomics and its applications

Overview

Recent technological advances in DNA analysis now allow the rapid and relatively cheap sequencing of entire genomes of individual organisms. These developments have the potential to revolutionize how we identify genes that control both simple and complex traits. Bioinformatic analysis of genomic data will also be highly influential in shaping our view of how organisms adapt to changes in their environment and how over a longer time-scale, traits such as body size and pattern and physiological and behavioral responses can evolve, leading to the rich diversity of life forms seen today. This unit will explore the use of whole-genome techniques to examine gene regulation, identify the genes controlling both simple and complex traits, determine how individuals and populations adapt to selective pressure and piece together the evolutionary changes that have given rise to complex multicellular life. Such information will increasingly be important in the 21st century for sustainable development of human civilization in concert with a healthy planetary environment. You will acquire relevant laboratory and computer-based skills including genetic database analysis and bioinformatics, forward genetic approaches and mapping and identification of genes controlling complex quantitative traits.

Areas of study: Biochemistry Biotechnology Genetics and genomics Microbiology Plant sciences Zoology

Offerings

Assessment

The Handbook lists an examination for this unit.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

The Handbook lists no prerequisite, corequisite or prohibition for this unit.

Learning outcomes

1. Describe recent advances in genetic knowledge gained from genomic analysis of species ranging from unicellular to multicellular organisms.
2. Explain the philosophy of forward and reverse genetics including genome editing techniques.
3. Determine potential applications for genomic techniques in the areas of medical research, agriculture, biotechnology and environmental management;
4. Utilise bioinformatic tools to compare DNA and protein sequences, search for genetic variants controlling complex traits, analyse transcriptome data and search for genomic signatures for adaptation;
5. Illustrate the processes required to map and identify genes controlling complex biological traits and articulate how forward genetics approaches can be used to determine gene function;
6. Collect, analyse, interpret and present genetic data effectively in the preparation of scientific reports;
7. Synthesize and critique new discoveries from the scientific literature in genomics.

Workload

A weekly average of: • 2- hours applied session; • 1.75-hours directed online activities; • 2.25-hours laboratories and • 6-hours independent study.

Student experience, not official rules. Nothing here changes what the Handbook says.