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University of Illinois Urbana-Champaign

Infection Genomics for One Health

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The Infection Genomics for One Health theme works to describe microbial communities and their genes across different natural and man-made environments.

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Featured Stories

The proposed viral testing method will be developed for fast, easy and affordable use by healthcare providers at community testing centers.
Research
New funding offers a path to a breakthrough in affordable, accessible viral testing
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In a new book, U. of I. professors Rebecca Smith, left, Rachel Roegman, right, and their colleagues in public health describe how communities can work together to keep their K-12 students safe and learning during a public health crisis like the COVID-19 pandemic. Photo by Michelle Hassel
Research
Book prepares K-12 leaders for the next public health crisis
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Abrar Hussain, left, Rebecca Smith and their colleagues mapped the distribution of three tick species across the state of Illinois. They compared this distribution to the incidence of tick-borne diseases in the state. Photo by Fred Zwicky
Research
Study identifies hotspots of disease-carrying ticks in Illinois
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Terence Crofts’ research group, including paper co-authors Ezabelle Frank (far left), Terence Crofts (behind the group), Elizabeth Bernate (center, in purple), and Hayden Allman (far right).
Research
Researchers capture new antibiotic resistance mechanisms with trace amounts of DNA
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Graduate student Owen Ouyang, left, and professor Nicholas Wu found common features among antibodies that bind to the influenza antigen hemagglutinin, a key target for vaccine development. Photo by Michelle Hassel
Research
High-volume antibody testing platform could accelerate disease research and treatment development
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Illinois Ph.D. student Ivan Sosa Marquez, left, plant biology professor Katy Heath and their colleagues identified clusters of genes in soil bacteria that enhance plant growth. Photo by Michelle Hassel. Study co-lead Amy Marshall-Colón, pictured, and postdoctoral researcher Rizwan Riaz conducted detailed statistical analyses and gene network modeling to identify which rhizobial genes correlated with more robust plant growth. Photo by Della Perrone
Research
Study identifies gene clusters in rhizobia linked to robust legume growth
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