I am interested in furthering our understanding of the structure and integration of bacterial metabolic networks, how they respond to perturbation, and how metabolism is integrated into specialized organismal capabilities. The overall goal of the research in my laboratory is to understand fundamental paradigms that govern metabolic network design. We use a bacterial model system and emphasize a biochemical genetic approach that utilizes in vivo analyses to inform the design of in vitro experiments. In total, we strive to think rigorously and creatively about metabolism in an effort to understand the true metabolic potential of any organism.
uences of lacking RidA in Saccharomyces cerevisiae, Pseudomonas aeruginosa and Campylobacter jejuni. The differences in metabolic network structure between organisms has been emphasized by the different responses each has to the lack of this critical enzyme. New projects address the role of the seven non-RidA subfamilies (Rid1-7, RutC) of the Rid superfamily. Current data suggests these subfamilies, found only in prokaryotes, are components of diverse metabolic pathways that provide niche specific fitness.
By virtue of the selective pressure exerted through millions of years of evolution, a living cell is likely to be the most well-tuned complex system in existence. Much of the research in the laboratory uses classical approaches and emerging technologies to better understand the molecular details of metabolic processes, and identify the mechanisms used to integrate these processes into a productive physiology. This approach continues to lead us to identifying the role(s) of previously unknown proteins, and contributes to our effort to define metabolic structure using global approaches. Recent addition of collaborators with metabolomics and mathematic modeling expertise has invigorated these studies, which have been the long-term interest of the lab. Current efforts utilize NMR metabolomics approaches in collaboration with the Edison laboratory at UGA. These metabolomics approaches can help accelerate the description and understanding of complex metabolic and physiological states of an organism. As such these approaches help complement the biochemical and genetic approaches that have identified the metabolic framework and raised broad global questions over the years. Moving forward we expect to incorporate metabolomic studies into our analysis of how the lack of RidA, or other central components, perturbs the metabolic network structure of various model organisms.