Harnessing Data-Driven Genomics to Combat E. coli Pathogenesis and Antibiotic Resistance
In the von Mentzer Lab, we focus on addressing the global health challenges posed by pathogenic Escherichia coli (E. coli), a major cause of diarrhoea in children and a significant contributor to infections and antibiotic resistance in both humans and animals. Our research leverages data-driven genomic approaches and machine learning to unravel the complex mechanisms behind E. coli’s ability to adapt, spread, and cause disease.
We are particularly interested in understanding the genetic factors that enable E. coli to colonise diverse hosts and environments, with a specific focus on adhesins—proteins that play a critical role in host specificity and infection. In addition, we use machine learning to identify genetic determinants that influence host transmission, helping us predict how these bacteria might spread across different populations.
Our research also employs machine learning methods to evaluate the emergence of hybrid E. coli strains, which combine traits from different pathogenic lineages, potentially leading to more virulent or resistant strains. By integrating large-scale genomic data, we aim to map the transmission dynamics of E. coli across different hosts and environments, providing insights into how these bacteria evolve and spread.
Our work not only deepens the understanding of E. coli pathogenesis and antibiotic resistance but also informs public health strategies by identifying potential targets for diagnostics, vaccine development, and interventions aimed at combating the spread of resistant strains.
Group Members:
Jeslin Varghese, Lab technician
Esmee Shenckeveld, BSc-student
Melek Ebrar Emer, Erasmus-student