This project Identified the promising biomarkers shown to be capable for distinguishing between infectious and non-infectious Cryptosporidium oocysts as well as identify species that can/cannot infect humans. A select few candidates were developed into a new PCR based assay capable of identifying a single infective oocyst as well as simultaneously determine the oocyst species/genotype with a rapid turnaround time between 6-8 hrs of oocyst sample receipt (i.e. same day reporting).

Honours Thesis completed by Michael A. Webber in November 2011.

Blue-green algae (cyanobacteria) blooms decrease water quality by releasing toxins and unpalatable taste and odour compounds. The problem is that it is difficult to rapidly and accurately identify toxic cyanobacteria in drinking, recycled or recreational waters. This research developed a reliable and sensitive DNA-based PCR test which used robotic equipment to carry out the laboratory component of the test. The speed and accuracy of this diagnostic test has the potential to improve management of blooms and contribute to the maintenance of water quality.