Motivation: SARS-CoV-2 is the virus responsible for the COVID-19 pandemic that currently impacts our world. SARS-CoV-2 is an enveloped, positive sense single stranded RNA virus and like other RNA viruses is known to form RNA secondary structure in its genome. In related viruses the secondary structures are responsible for fulfilling roles including proper expression of viral gene products and possibly regulation of viral genome replication. I hypothesize that SARS-CoV-2 may be capable of forming additional secondary structures beyond what is already known and that those secondary structures are identifiable on the basis of sequence conservation with related RNA viruses. Results: By repurposing and expanding an existing computational pipeline de- signed for the detection of structural RNAs in vertebrates, I identified 40 regions of the SARS-CoV-2 genome highly likely to form secondary structure. Partial re- identification of known secondary structures in the SARS-CoV-2 genome was achieved. To further explore the role these structures may fill, the 9 most conservatively pre- dicted structures were analyzed in wild viral samples collected from three Canadian provinces, and distinct patterns of mutation were observed. The 40 regions identi- fied by my modified pipeline were compared against three contemporary works and the differences between findings were quantified. Lastly, Variants of Concern for SARS-CoV-2 were analyzed for prevalent but poorly reported mutations that may influence RNA secondary structure. Code developed for this work is available at https://github.com/aziesel/MSc. / Graduate / 2023-04-06

Emerging influenza viruses continue to challenge public health. The problem is public health science professionals have been battling emerging human influenza diseases with tactile and reactionary methods because there is a lack of knowledge and data at the human-animal interface. This research was a baseline study of the proportion of influenza A virus (IAV) in urban and rural communities in California. The population was artificial recirculating water ponds in the geographic locations of rural and urban Californian communities. Surface water samples [N = 182] were collected from artificial recirculating ponds in California. Positivity for IAV was verified by real time RT-PCR, MDCK cells for virus infectivity, nucleotide sequencing of the RNA genome, and phylogenic analysis of IAV H5N1 strains. The proportion of IAV in rural and urban ponds favored the greater burden of IAV in urban ponds over rural ponds. The presence of waterfowl and IAV M gene sequence positivity were found not to be significantly related. The geochemical properties--pH, salinity, and water temperature at time of collection--were not predictors of IAV infectivity. This baseline research study validated these water ponds as resource sites for IAV surveillance and monitoring. The social change implications of this study can be recognized at the national and international levels, to the population level, and to the individual level by providing geospatial analysis and spatial-temporal data for IAV surveillance, initiating biosecurity measures to protect poultry industries in the United States and Brazil, and contributing to the current IAV strain library. Contributions to the IAV strain library may be used to develop vaccines against human pandemics.