Wong Hui San, Maker Garth L, Trengove Robert D, O'Handley Ryan M
The University of Adelaide, School of Animal and Veterinary Science, Adelaide, South Australia, Australia Murdoch University, School of Veterinary and Life Sciences, Perth, Western Australia, Australia
Murdoch University, School of Veterinary and Life Sciences, Perth, Western Australia, Australia Murdoch University, Metabolomics Australia, Perth, Western Australia, Australia.
Appl Environ Microbiol. 2015 Apr;81(8):2660-6. doi: 10.1128/AEM.03658-14. Epub 2015 Jan 30.
The 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.
本研究的目的是利用气相色谱-质谱联用技术(GC-MS)来比较和鉴定浮游生长阶段与生物膜阶段生长的沙门氏菌细胞以及不同龄期沙门氏菌生物膜之间的生化变化模式。我们的结果显示浮游生长模式与生物膜生长模式之间存在明显差异。导致浮游生长上清液与生物膜上清液之间差异的大多数代谢物被鉴定为氨基酸,包括丙氨酸、谷氨酸、甘氨酸和鸟氨酸。导致细胞内代谢物谱差异的代谢物被鉴定为琥珀酸、腐胺、焦谷氨酸和N-乙酰谷氨酸。主成分分析显示不同龄期的细胞内代谢物谱之间没有显著差异,否则可根据龄期区分生物膜细胞。在分析从生物膜生长不同天数采集的细胞外代谢物时,得分图呈现出一种变化模式,氨基酸再次被鉴定为导致差异的主要代谢物。了解生物膜对干扰(尤其是抗生素)的特异性代谢反应,可有助于识别新的药物靶点以及对抗生物膜相关疾病的潜在疗法。我们得出结论,在本研究条件下,GC-MS可成功用作一种高通量技术,用于“自下而上”的生物膜代谢组学研究。