Imagine diving into the very blueprint of life, deciphering the code that makes organisms tick – that's the thrilling frontier Dr. Dave Ussery has explored for over three decades in genomics. And now, he's bringing his world-class expertise to Oklahoma State University's College of Veterinary Medicine, promising to revolutionize how we tackle health challenges across species. But here's where it gets fascinating: how might this genomic wizardry reshape our understanding of disease and evolution in ways we never imagined?
Dated Friday, December 5, 2025, this announcement comes straight from the source. For media inquiries, reach out to Bailey Horn, Marketing Specialist, at 405-744-6728 or bailey.horn@okstate.edu.
Dr. Dave Ussery, a bioinformatician whose career spans more than 30 years in the cutting-edge field of microbial genomics, officially joined the Oklahoma State University College of Veterinary Medicine (visit vetmed.okstate.edu for more) back in 2025. For beginners dipping their toes into this world, genomics is basically the study of an organism's entire set of DNA – think of it as reading the full instruction manual for life, not just a single page. Ussery's role isn't just about crunching data; it's about bridging science and real-world impact.
At OSU, he holds the position of professor in the Department of Physiological Sciences (check out vetmed.okstate.edu/about/departments/physiological-sciences/departmentheadwelcome.html) and directs the Interdisciplinary Network for Tracking Emerging Risks, Analytics, and Comparative Translational genomics, known as INTERACT (learn more at vetmed.okstate.edu/research/interact/interact.html). In this capacity, he champions OSU's One Health initiative, which unites veterinarians, researchers, and business collaborators to tackle intricate biological and health dilemmas. One Health, simply put, recognizes that human, animal, and environmental health are interconnected – for example, a virus jumping from animals to humans, like in the case of COVID-19, highlights why such collaboration is crucial.
Before landing at OSU, Ussery was the Helen G. Adams/ARA Endowed Chair in Biomedical Informatics at the University of Arkansas for Medical Sciences, where he taught in both the Department of Physiology and Cell Biology and the Department of Biomedical Informatics. His journey began even earlier, leading teams in comparative genomics at Oak Ridge National Laboratory and the Technical University of Denmark. He also contributed to the Genomic Standards Consortium as a board member, helping set benchmarks for how genomic data is shared globally.
Ussery's research zeroes in on dissecting bacterial genomes with digital tools – computers help make sense of the massive amounts of genetic data, turning it into actionable insights. He started this path in 1994, right when large-scale DNA reading was becoming a reality. One of his groundbreaking achievements was creating some of the field's first visual tools, such as the pioneering 'genome atlas' for E. coli. This atlas is like a detailed map of the bacterium's 4.6 million base-pair chromosome, showcasing genes, functions, and structures in an easy-to-grasp graphical format. And this is the part most people miss: such visualizations made genomics accessible, not just for experts but for anyone curious about how microbes evolve and cause diseases.
Through joint projects, he's shed light on a diverse array of life forms, from the fission yeast Schizosaccharomyces pombe to the fungus Aspergillus niger, revealing fresh perspectives on gene operations, metabolic processes, and evolutionary paths. For instance, studying these organisms helps us understand how genes adapt to different environments, which could lead to better treatments for fungal infections in both animals and humans.
Ussery has gifted the scientific community with valuable tools. He co-created RNAmmer, a software program that spots ribosomal RNA genes using advanced statistical models called hidden Markov models – think of it as a smart detector that hunts for specific DNA markers in vast genetic sequences. He also played a key role in launching MIGS, or Minimum Information about a Genome Sequence, a guideline ensuring researchers report genomic findings consistently, much like a universal recipe format that prevents confusion in cooking complex data dishes. Additionally, his innovations in multilocus sequence typing (a method to classify bacteria based on multiple genes) and reference-free genome assembly (building genetic maps without needing a 'template') have propelled progress in pinpointing microbes, exploring mixed microbial communities (metagenomics), and comparing genomes across species.
His prolific output includes over 170 papers, each cited at least 10 times, appearing in prestigious journals like Nature, Science, and PNAS. He's guided 34 Ph.D. students, most of whom authored several lead papers, and served on editorial and review boards for grants spanning three decades. In 2025 alone, he authored or co-authored eight research articles, demonstrating his ongoing vitality.
At OSU, Ussery leads a hands-on genomics class where students engage in real projects involving DNA sequencing, side-by-side examinations of genomes, and cutting-edge tech like long-read sequencing – which allows reading longer DNA stretches for clearer insights. They use a custom software package, R-BioTools, to dissect microbial genomes, gaining practical skills in contemporary bioinformatics workflows. Picture students not just learning theory, but simulating real lab scenarios to identify pathogens or track evolutionary changes.
Through his investigations, education, and stewardship of INTERACT, Ussery is empowering OSU to foster groundbreaking discoveries, cross-disciplinary teamwork, and practical uses in veterinary and medical fields. His path embodies a steadfast dedication to pioneering work and a profound fascination with unraveling life's mysteries through genomics. But here's where it gets controversial: as genomics advances, should we worry about ethical boundaries, like privacy concerns with genetic data or the potential for 'playing God' with gene editing? Is it right to apply these tools so broadly in veterinary medicine, potentially blurring lines between treating animals and enhancing them?
What do you think? Does Ussery's work inspire you, or does it raise red flags about the future of genomics? Share your thoughts in the comments – do you agree that One Health is the way forward, or see potential pitfalls we haven't considered? Let's discuss!
