NMR metabolomics of planktonic and biofilm modes of growth in Pseudomonas aeruginosa.

Bacteria often reside in communities where the cells have secreted sticky, polymeric compounds that allow them to attach to surfaces. This sessile lifestyle, referred to as a biofilm, affords the cells within these communities a tolerance of antibiotics and antimicrobial treatments. Biofilms of the bacterium Pseudomonas aeruginosa have been implicated in cystic fibrosis and are capable of colonizing medical implant devices, such as heart valves and catheters, where treatment of the infection often requires the removal of the infected device. This mode of growth is in stark contrast to planktonic, free floating cells, which are more easily eradicated with antibiotics. The mechanisms contributing to a biofilm's tenacity and a planktonic cell's susceptibility are just beginning to be explored. In this study, we have used a metabolomic approach employing nuclear magnetic resonance (NMR) techniques to study the metabolic distinctions between these two modes of growth in P. aeruginosa. One-dimensional 1H NMR spectra of fresh growth medium were compared with spent medium supernatants from batch and chemostat planktonic and biofilms generated in continual flow system culture. In addition, 1H high-resolution magic angle spinning NMR techniques were employed to collect 1H NMR spectra of the corresponding cells. Principal component analysis and spectral comparisons revealed that the overall metabolism of planktonic and biofilm modes of growth appeared similar for the spent media, while the planktonic and biofilm cells displayed marked differences. To determine the robustness of this technique, we prepared cell samples under slightly different preparation methods. Both techniques showed similar results. These feasibility studies show that there exist chemical differences between planktonic and biofilm cells; however, in order to identify these metabolomic differences, more extensive studies would have to be performed, including 1H-1H total correlated spectroscopy.