cThe aim of this study was to utilize gas chromatography coupled with mass spectrometry (GC-MS) to compare and identify patterns of biochemical change between Salmonella cells grown in planktonic and biofilm phases and Salmonella biofilms of different ages. Our results showed a clear separation between planktonic and biofilm modes of growth. The majority of metabolites contributing to variance between planktonic and biofilm supernatants were identified as amino acids, including alanine, glutamic acid, glycine, and ornithine. Metabolites contributing to variance in intracellular profiles were identified as succinic acid, putrescine, pyroglutamic acid, and N-acetylglutamic acid. Principal-component analysis revealed no significant differences between the various ages of intracellular profiles, which would otherwise allow differentiation of biofilm cells on the basis of age. A shifting pattern across the score plot was illustrated when analyzing extracellular metabolites sampled from different days of biofilm growth, and amino acids were again identified as the metabolites contributing most to variance. An understanding of biofilm-specific metabolic responses to perturbations, especially antibiotics, can lead to the identification of novel drug targets and potential therapies for combating biofilm-associated diseases. We concluded that under the conditions of this study, GC-MS can be successfully applied as a high-throughput technique for "bottom-up" metabolomic biofilm research.
Biofilm formation by Salmonella spp. on biotic and abiotic surfaces has profound consequences in many industries, as they act as continual sources of contamination and are notoriously difficult to eradicate (1-5). The regulatory network governing Salmonella biofilm formation is highly sophisticated; however, through the dedicated efforts of research groups worldwide, the picture is gradually becoming clearer. More recently, proteomic and transcriptomic studies have shown a global shift in metabolism when growth switches from sessile to a biofilm (6, 7). It is therefore highly plausible that phenotypic biofilm properties thought to be induced via biofilm-specific gene expression are in fact induced by differential expression of common metabolic pathways (7,8).The closest "omics" representation of phenotypes in a microorganism is metabolomics, or the study of the metabolome. Metabolomics incorporates both the analysis and identification of metabolites and allows researchers to monitor changes in metabolic profiles following perturbations to a system. Metabolomics is not new, but it has recently undergone a revival due to advances in analytical techniques, such as liquid chromatography-mass spectrometry (LC-MS) (9), nuclear magnetic resonance (NMR) (10), and gas chromatography coupled with mass spectrometry (GC-MS) (11, 12). The resurgence in metabolomics has subsequently provided an innovative high-throughput approach for research into the metabolic complexity of biofilms.Current literature about biofilm metabolomics is limited and is mostly...