Sun Yan-Chun, Wu Song, Du Ning-Ning, Song Yi, Xu Wei
Heilongjiang River Fisheries Research Institute of Chinese Academy of Fishery Sciences/Laboratory of Quality & Safety Risk Assessment for Aquatic Products (Harbin), Ministry of Agriculture Harbin 150070 China
Chinese Academy of Fishery Sciences Beijing 100141 P. R. China.
RSC Adv. 2018 Apr 19;8(27):14983-14990. doi: 10.1039/c8ra01317a. eCollection 2018 Apr 18.
High throughput mass spectrometry (MS)-based metabolomics is a popular platform for small molecule metabolites analyses that are widely used for detecting biomarkers in the research field of environmental assessment. Crucian carp (, CC) is an economically and ecologically important fish in Asia. It can adapt to extremely high alkalinity, providing us with valuable material to understand the adaptation mechanism for extreme environmental stress. However, the information on the metabolite biomarkers and metabolic mechanisms of CC exposed to alkaline stress is not entirely clear. We applied high-throughput UPLC-Q-TOF/MS combined with chemometrics to identify changes in the metabolome of CC exposed to different concentrations of alkalinity for long term effects. Metabolic differences among alkalinity-treated groups were identified by multivariate statistical analysis. Further, 7 differential metabolites were found after exposure to alkaline conditions. In total, 23 metabolic pathways of these differential metabolites were significantly affected. Alkalinity exposure resulted in widespread change in metabolic profiles in the plasma with disruptions in the phenylalanine metabolism, glycine, serine and threonine metabolism, pyruvate metabolism, tyrosine metabolism, The integrated pathway analysis of the associated metabolites showed that tRNA charging, l-cysteine degradation II, superpathway of methionine degradation, l-serine degradation, tyrosine biosynthesis IV, appear to be the most significantly represented functional categories. Overall, this study demonstrated that metabolic changes in CC played a role in adaptation to the highly alkaline environmental stress.
基于高通量质谱（MS）的代谢组学是一种用于小分子代谢物分析的流行平台，广泛应用于环境评估研究领域中的生物标志物检测。鲫鱼（CC）是亚洲一种具有经济和生态重要性的鱼类。它能够适应极高的碱度，为我们提供了了解极端环境胁迫适应机制的宝贵材料。然而，关于暴露于碱性胁迫下的鲫鱼代谢物生物标志物和代谢机制的信息并不完全清楚。我们应用高通量超高效液相色谱-四极杆飞行时间质谱联用化学计量学方法，来识别长期暴露于不同碱度下的鲫鱼代谢组的变化。通过多元统计分析确定碱度处理组之间的代谢差异。此外，在暴露于碱性条件后发现了7种差异代谢物。这些差异代谢物总共23条代谢途径受到显著影响。碱度暴露导致血浆代谢谱发生广泛变化，苯丙氨酸代谢、甘氨酸、丝氨酸和苏氨酸代谢、丙酮酸代谢、酪氨酸代谢均受到干扰。相关代谢物的综合途径分析表明，tRNA充电、L-半胱氨酸降解II、甲硫氨酸降解的超级途径、L-丝氨酸降解、酪氨酸生物合成IV似乎是最显著的功能类别。总体而言，本研究表明鲫鱼的代谢变化在适应高碱性环境胁迫中发挥了作用。
