Most are familiar with the field of genomics in relation to ancestry mapping 鈥 such as 23andMe and Ancestry.com 鈥 uncovering relatives and identifying genetic risk factors for disease. However, genomics has also widely been applied to tracking infectious disease through sequencing the genomes of bacteria, parasites and viruses.

Now, it is helping us to better understand how to combat the coronavirus.

Assistant Professor Taj Azarian, an infectious-disease epidemiologist, is heading up genomic surveillance of SARS-CoV-2 at 麻豆原创 ahead of the university鈥檚 plans for a full return to face-to-face instruction in the fall.

鈥淥ne component to help us with a safe return in the fall is vaccination of as many people as possible. Another is incorporating genomic surveillance of SARS-CoV-2 so we鈥檙e able to track the spread of the virus,鈥 Azarian says. 鈥淲hat we want to do is build a ring of protection around the students and employees at the school so that basically we鈥檙e identifying cases as early as possible and implementing public health measures. We鈥檒l also be able to assess the effectiveness of those measures using viral sequencing data.鈥

Azarian鈥檚 lab takes samples 鈥 with individuals鈥 identities redacted 鈥 from positive COVID-19 tests and isolates the virus鈥 RNA, or genetic code. The samples are obtained from random testing on campus as well as symptomatic patients at the Student Health Center and the Parking Garage A testing site.

The lab prepares the RNA sample and then inputs it into a genome sequencing platform that enables hundreds of samples to be simultaneously analyzed with the aid of the high-performance computing cluster at 麻豆原创. This allows the lab to compare viral sequences among individuals with COVID-19 to look for similarities or differences.

For instance, Azarian says, this analysis could determine if a set of cases is linked to one residence hall, or a social event, which would help officials identify additional cases and determine appropriate public health interventions.

鈥淚 like to describe this as building family trees of pathogens,鈥 he says. 鈥淏y looking at the relatedness between strains, we can infer a number of things 鈥 like how fast an epidemic is spreading, how fast it is evolving and whether it is developing resistance to any of our interventions such as vaccines.鈥

鈥淏y looking at the relatedness between strains, we can infer a number of things 鈥 like how fast an epidemic is spreading, how fast it is evolving and whether it is developing resistance to any of our interventions such as vaccines.鈥 鈥 Taj Azarian, assistant professor

Azarian says he was drawn to working at 麻豆原创 because of its genomics and bioinformatics faculty cluster, which was created to inspire cross-cutting research that leverages 麻豆原创鈥檚 strengths in biomedical sciences, evolution and ecology, and computer science.聽That faculty cluster has played a role in aiding his genomic surveillance work during the pandemic.

Since the beginning of the pandemic, he has been working with the Florida Department of Health to monitor the emergence and spread to COVID-19 in the community.

Now his focus will shift to doing the same for 麻豆原创, where his lab will be able to compare viral sequences from 麻豆原创 to those collected throughout Florida and abroad.

It鈥檚 part of a broader initiative led by the Centers for Disease Control and Prevention, which works closely with researchers and public health labs in the United States to generate, share and analyze viral sequencing data. Researchers and public health officials can analyze and compare the data in a larger context to better understand the virus, detect a potential outbreaks of related cases, develop interventions, and monitor emerging variants.聽Recently, Azarian and a colleague at the University of Florida were appointed to collaborate on a project funded by The Rockefeller Foundation to become part of a U.S. Regional Accelerators for Genomic Surveillance program.

Monitoring variants has become increasingly crucial due to their potential to spread easier or cause more severe disease. Azarian says that there is a growing concern for variants for which the vaccine is less effective.

Azarian emphasizes that ensuring individuals鈥 privacy and personal information through the process is a priority and that no one鈥檚 DNA is retained anywhere.

鈥淲e鈥檙e only interested in the RNA of the virus,鈥 he says. 鈥淚n any of the work that we do, we are not looking for the human DNA that may be present in the sample. We鈥檙e only focusing on the virus鈥 sequence, and once we perform the viral RNA extraction, those samples are discarded. Furthermore, when our results are uploaded to the online repository, we do a screening to make sure there is no human DNA data being uploaded.鈥

Azarian鈥檚 work in his lab is assisted by two undergraduate students, a recent graduate and two post-doctoral fellows at 麻豆原创.

鈥淎s an aspiring physician, being involved in such a project is an honor and a once-in-a-lifetime opportunity,鈥 says Anita Samadabadi 鈥20, a Burnett Honors Scholar who graduated in December with a bachelor鈥檚 degree in biomedical sciences. 鈥淭his opporutnity allows me to apply what I learned in the classroom about biomedical research to real-world scenarios. My hope is that we all will learn valuable lessons from the COVID-19 pandemic so we never have to face another pandemic again in the future. But if that unfortunately happens, I am sure that the lessons and experiences I am acquiring by being part of this project will help me be an asset for my community.鈥

Azarian says this field will continue to be critical even as more of the world鈥檚 population is vaccinated.

鈥淲e as a community are starting to see the light at the end of the tunnel because of the vaccine, and I think the No. 1 question on everyone鈥檚 mind is, 鈥楧id we win the fight?鈥欌 he says.

鈥淩ight now, I feel like we are in a race between getting people immunized and the spread of some of these new variants. Even as immunization rates are climbing, it鈥檚 imperative we continue this surveillance so we can identity whether those variants continue to emerge and what that means for the future of the vaccine 鈥 whether it will need to be updated at some point to be more like the seasonal influenza vaccine, or if this one is going to work against the strains now and the ones that may emerge in the future. Genomic surveillance will help us answer these questions.鈥