Jeppe Katherine J, Kouremenos Konstantinos A, Townsend Kallie R, MacMahon Daniel F, Sharley David, Tull Dedreia L, Hoffmann Ary A, Pettigrove Vincent, Long Sara M
Centre for Aquatic Pollution Identification and Management (CAPIM), School of BioSciences, The University of Melbourne, Royal Pde, Parkville 3010, Australia.
Metabolomics Australia, Bio21 Molecular Science and Biotechnology Institute, 30 Flemington Road, Parkville 3052, Australia.
Metabolites. 2017 Dec 18;7(4):64. doi: 10.3390/metabo7040064.
Metabolomic techniques are powerful tools for investigating organism-environment interactions. Metabolite profiles have the potential to identify exposure or toxicity before populations are disrupted and can provide useful information for environmental assessment. However, under complex environmental scenarios, metabolomic responses to exposure can be distorted by background and/or organismal variation. In the current study, we use LC-MS (liquid chromatography-mass spectrometry) and GC-MS (gas chromatography-mass spectrometry) to measure metabolites of the midge inhabiting 21 urban wetlands. These metabolites were tested against common sediment contaminants using random forest models and metabolite enrichment analysis. Sediment contaminant concentrations in the field correlated with several metabolites despite natural environmental and organismal variation. Furthermore, enrichment analysis indicated that metabolite sets implicated in stress responses were enriched, pointing to specific cellular functions affected by exposure. Methionine metabolism, sugar metabolism and glycerolipid metabolism associated with total petroleum hydrocarbon and metal concentrations, while mitochondrial electron transport and urea cycle sets associated only with bifenthrin. These results demonstrate the potential for metabolomics approaches to provide useful information in field-based environmental assessments.
代谢组学技术是研究生物体与环境相互作用的有力工具。代谢物谱有潜力在种群受到干扰之前识别暴露或毒性,并可为环境评估提供有用信息。然而,在复杂的环境场景下,对暴露的代谢组学反应可能会因背景和/或生物体变异而扭曲。在当前研究中,我们使用液相色谱-质谱联用(LC-MS)和气相色谱-质谱联用(GC-MS)来测量栖息于21个城市湿地的摇蚊的代谢物。使用随机森林模型和代谢物富集分析,将这些代谢物与常见的沉积物污染物进行测试。尽管存在自然环境和生物体变异,但现场沉积物污染物浓度与几种代谢物相关。此外,富集分析表明,与应激反应相关的代谢物集得到了富集,表明暴露影响了特定的细胞功能。蛋氨酸代谢、糖代谢和甘油脂代谢与总石油烃和金属浓度相关,而线粒体电子传递和尿素循环集仅与联苯菊酯相关。这些结果证明了代谢组学方法在基于现场的环境评估中提供有用信息的潜力。