Research inspired by COVID-19: UW work on genetic sequencing traces community spread

Research inspired by COVID-19: UW work on genetic sequencing traces community spread

 

Genetic sequencing of SARS-CoV-2 — the novel coronavirus that causes COVID-19 — reveals that the virus, which was once distinct between Dane and Milwaukee Counties, now reflects patterns of geographic mixing across the state, according to a paper published by University of Wisconsin-Madison researchers this month.

David O’Connor, left, and Thomas Friedrich are pictured in a lab at the University of Wisconsin–Madison in March. Photo: Jeff Miller, UW-Madison

David O’Connor, left, and Thomas Friedrich are pictured in a lab at the University of Wisconsin–Madison in March. Photo: Jeff Miller, UW-Madison

In a study published Nov. 3 in the journal Nature Communications, researchers in Thomas Friedrich and David O’Connor’s labs examined the spread of COVID-19 in Dane and Milwaukee counties, which are not only the state’s most populous, but had the most COVID-19 cases early in the pandemic. Data showed that the two counties had largely distinct epidemics through April with limited genetic mixing and that both saw lower rates of spread after Wisconsin’s Safer at Home executive order in March.

“The Safer at Home orders in the spring really did seem to keep viruses in Milwaukee and Dane counties from mixing with each other,” Friedrich said. “That compartmentalization has stopped and now, in fact, we see the opposite … Now we’re trying to understand what are the patterns of behavior? What are the things that affect this mixing?”

The virus mutates about once every two weeks, or every second transmission between people, like a game of telephone, although these genetic changes have minimal effects on the virus’ behavior or threat. Instead, studying viral samples for these “fingerprints” or “signatures” at a specific point in time or location allows researchers to trace patterns of spread.

Further data and sequencing is required to conclude whether mixing between the counties increased after the Stay at Home order was overturned by the Wisconsin Supreme Court in May, according to the study. Still, Friedrich and O’Connor said sequencing data can promote improved public health measures, and called for more coordinated, nationwide incentives to keep people home.

“The measures that are going to have to be taken are a lot more draconian than anything that we’ve seen since March or April,” O’Connor said. “But those draconian measures need to be matched with some compassion and investment in making it so that staying at home and following those orders is reasonable. And that simply hasn’t happened.”

With new funding from the Center for Disease Control and Prevention, the labs plan to work with other universities and health departments to better understand spread into and within Wisconsin, especially the role of college campuses. Friedrich said sequencing can help examine whether and how students amplify community spread, beyond simply asking people, “Were you at that party? Do you work in this nursing home?”

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