尼日利亚三角洲州 Ughelli Igbalegbe 河非洲箭鱼(Heterotis niloticus)的重金属和基因表达分析

B. Okoro, P. Tawari-Fufeyin
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摘要

水生生态系统中的重金属污染可通过鱼类中合适的生物标记物进行评估。本研究使用原子吸收分光光度计(瓦里安 220 快速连续式)检测重金属含量,并使用聚合酶链式反应(PCR)进行基因表达研究,以确定从尼日利亚三角洲州 Ughelli 的 Igbalegbe 河获取的非洲箭鱼(Heterotis niloticus)体内的重金属浓度和基因表达。研究结果表明,与上游站相比,河流下游段和污水排放点的鱼类金属污染指数(MPI)较高。除排污站的镉和铅含量外,鱼类组织中的重金属含量一般都在联合国粮农组织(FAO)/世界卫生组织(WHO)规定的范围内。选定的调查基因分别是一般应激(HSP70)、异生物代谢(CYPA1)、抗氧化防御(SOD)、胰岛素生长因子-1(IGF-1)和缺氧诱导因子(HIF)的生物标志物。这些基因的表达量在河流不同水位的鱼类中存在显著差异(P<0.05)。一些基因被下调和抑制,而另一些则被上调,使鱼类在适应环境污染的同时应对压力。因此,生物标志物的变化可被视为选定鱼类物种压力的早期信号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Heavy Metals and Gene Expression of African Arowana Fish (Heterotis niloticus) obtained from Igbalegbe River, Ughelli, Delta State, Nigeria
Heavy metal pollution in aquatic ecosystems can be assessed with suitable biomarkers in fish. This study was carried out to determine the concentration of heavy metals and gene expression of African Arowana Fish (Heterotis niloticus) obtained from Igbalegbe River, Ughelli, Delta State, Nigeria using Atomic Absorption Spectrophotometer (Varian 220 Fast sequential) for the metals and Polymerase chain reaction (PCR) for the gene expression study. Results of the study showed that fishes in the downstream sectionof the river and the effluent discharge point recorded higher metal pollution Index (MPI) compared to the upstream station. The concentration of heavy metals in the fish tissue were generally within the limits of Food and Agricultural Organisation (FAO)/World health Organisation (WHO) except for that of Cadmium and Lead in the discharge station. The selected genes investigated were biomarkers for general stress (HSP70), xenobiotic metabolism (CYPA1), antioxidative defence (SOD), Insulin growth factor-1 (IGF-1) and hypoxia inducible factor (HIF) respectively. The expression of the genes revealed significant variations (P<0.05) in the fishes obtained from the different stations of the river. Some of the genes were down-regulated and suppressed while others were upregulated to enable the fish cope with stress while adapting to environmental pollution. Changes in biomarkers can therefore be considered as early signals of stress in the selected fish species.
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