Long Sara M, Tull Dedreia L, Jeppe Katherine J, De Souza David P, Dayalan Saravanan, Pettigrove Vincent J, McConville Malcolm J, Hoffmann Ary A
Centre for Aquatic Pollution, Identification and Management (CAPIM), School of BioSciences, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, 30 Flemington Road, Parkville, 3052, Australia.
Metabolomics Australia, Bio21 Molecular Science and Biotechnology Institute, 30 Flemington Road, Parkville, 3052, Australia.
Aquat Toxicol. 2015 May;162:54-65. doi: 10.1016/j.aquatox.2015.03.009. Epub 2015 Mar 10.
Measuring biological responses in resident biota is a commonly used approach to monitoring polluted habitats. The challenge is to choose sensitive and, ideally, stressor-specific endpoints that reflect the responses of the ecosystem. Metabolomics is a potentially useful approach for identifying sensitive and consistent responses since it provides a holistic view to understanding the effects of exposure to chemicals upon the physiological functioning of organisms. In this study, we exposed the aquatic non-biting midge, Chironomus tepperi, to two concentrations of zinc chloride and measured global changes in polar metabolite levels using an untargeted gas chromatography-mass spectrometry (GC-MS) analysis and a targeted liquid chromatography-mass spectrometry (LC-MS) analysis of amine-containing metabolites. These data were correlated with changes in the expression of a number of target genes. Zinc exposure resulted in a reduction in levels of intermediates in carbohydrate metabolism (i.e., glucose 6-phosphate, fructose 6-phosphate and disaccharides) and an increase in a number of TCA cycle intermediates. Zinc exposure also resulted in decreases in concentrations of the amine containing metabolites, lanthionine, methionine and cystathionine, and an increase in metallothionein gene expression. Methionine and cystathionine are intermediates in the transsulfuration pathway which is involved in the conversion of methionine to cysteine. These responses provide an understanding of the pathways affected by zinc toxicity, and how these effects are different to other heavy metals such as cadmium and copper. The use of complementary metabolomics analytical approaches was particularly useful for understanding the effects of zinc exposure and importantly, identified a suite of candidate biomarkers of zinc exposure useful for the development of biomonitoring programs.
测量生物群落中的生物反应是监测受污染栖息地常用的方法。挑战在于选择敏感且理想情况下针对特定应激源的终点指标,以反映生态系统的反应。代谢组学是一种潜在有用的方法,可用于识别敏感且一致的反应,因为它能提供一个整体视角来理解化学物质暴露对生物体生理功能的影响。在本研究中,我们将水生无咬蠓(Chironomus tepperi)暴露于两种浓度的氯化锌中,并使用非靶向气相色谱 - 质谱(GC - MS)分析和含胺代谢物的靶向液相色谱 - 质谱(LC - MS)分析来测量极性代谢物水平的整体变化。这些数据与多个靶基因表达的变化相关。锌暴露导致碳水化合物代谢中间产物(即6 - 磷酸葡萄糖、6 - 磷酸果糖和二糖)水平降低,以及多个三羧酸循环中间产物增加。锌暴露还导致含胺代谢物羊毛硫氨酸、蛋氨酸和胱硫醚浓度降低,以及金属硫蛋白基因表达增加。蛋氨酸和胱硫醚是转硫途径中的中间产物,该途径参与蛋氨酸向半胱氨酸的转化。这些反应有助于理解受锌毒性影响的途径,以及这些影响与镉和铜等其他重金属的不同之处。使用互补的代谢组学分析方法对于理解锌暴露的影响特别有用,并且重要的是,确定了一套锌暴露的候选生物标志物,可用于生物监测计划的制定。