A Rowan University research team, led by Chun Wu, Ph.D., has received the prestigious 2025 Zuckerkandl Prize for their groundbreaking paper published in the Journal of Molecular Evolution. The award, considered one of the highest honors in the field of molecular evolution, recognizes exceptional scholarship in understanding the intricate changes within DNA, RNA, and proteins over time. This research promises to refine our understanding of viral evolution, with potential implications for tracking emerging variants and developing more effective vaccines and treatments.
The team’s work centers on a critical re-evaluation of how scientists study viral evolution. For decades, the prevailing method, known as Ka/Ks, has focused on changes in proteins, assuming that so-called “synonymous” mutations – those that don’t alter the protein itself – have no significant impact. Wu’s team challenged this long-held assumption, demonstrating that these seemingly neutral mutations can, in fact, influence viral behavior. Their findings are particularly relevant in the context of the ongoing need to understand and respond to evolving viruses like SARS-CoV-2, the virus responsible for COVID-19.
Challenging a Decades-Old Method
The paper, titled “Substitution-Mutation Rate Ratio (c/µ) as Molecular Adaptation Test Beyond Ka/Ks: A SARS‑CoV‑2 Case Study,” published in May 2025, details the team’s innovative approach. Researchers, including Ph.D. Students Nicholas J. Paradis and Khushi Jain, analyzed the SARS-CoV-2 virus to reveal that synonymous mutations can affect how a virus functions. This means the traditional Ka/Ks method can sometimes misclassify important evolutionary changes, potentially leading to an incomplete understanding of a virus’s adaptation process.
“The Ka/Ks method has been a cornerstone of viral evolution research for a long time,” explains Wu, an associate professor in the Departments of Chemistry & Biochemistry and Biological & Biomedical Sciences within the College of Science & Mathematics at Rowan University. “Our research shows that it’s not the whole story. By looking beyond protein changes and considering the impact of these ‘silent’ mutations, You can gain a much more accurate picture of how viruses evolve and adapt.”
A New Metric for Viral Adaptation
To address the limitations of the Ka/Ks method, Wu’s team developed a new metric designed to more accurately detect meaningful adaptations across the entire viral genome, including the regions that do not code for proteins. This new approach allows scientists to identify subtle but significant changes that might otherwise be missed, offering a more comprehensive understanding of viral evolution. The potential benefits of this refined understanding are substantial, ranging from improved tracking of emerging variants to more informed vaccine and drug development strategies.
The awards committee highlighted the potential impact of the research, stating that the team’s paper “has the potential to stimulate the development of new tools for comparative genomic data analysis and reveal previously hidden patterns of adaptive evolution in non-coding genomic regions such as untranslated regions, pseudogenes, and introns,” according to the committee’s determination.
The Significance of the Zuckerkandl Prize
The Zuckerkandl Prize is named in honor of Emile Zuckerkandl, a pioneer in molecular evolutionary biology and a founding editor of the Journal of Molecular Evolution. Zuckerkandl’s work laid the foundation for modern molecular evolution, and the prize bearing his name recognizes researchers who continue to push the boundaries of our understanding in this critical field.
The implications of this research extend beyond SARS-CoV-2. The new metric developed by Wu’s team can be applied to study the evolution of a wide range of viruses, providing valuable insights into how they adapt, spread, and potentially overcome existing defenses. This is particularly important in an era where emerging infectious diseases pose a constant threat to global health security.
Looking ahead, Wu and his team plan to further refine their new metric and apply it to a broader range of viral datasets. They are likewise exploring collaborations with other researchers to validate their findings and accelerate the development of new tools for tracking and combating viral evolution. The next step involves applying this methodology to analyze the evolutionary patterns of influenza viruses, a persistent public health concern.
This research underscores the importance of continued investment in fundamental scientific inquiry. By challenging established paradigms and developing innovative approaches, scientists like Chun Wu and his team are paving the way for a more prepared and resilient future in the face of evolving viral threats.
Disclaimer: This article provides information for general knowledge and informational purposes only, and does not constitute medical advice. We see essential to consult with a qualified healthcare professional for any health concerns or before making any decisions related to your health or treatment.
Have thoughts on this research? Share your comments below, and please share this article with your network.
