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鱼类 CYP1A 转录物表达的鉴定和评估:作为热带淡水生态系统石油污染的分子生物标志物。

Identification and evaluation of cyp1a transcript expression in fish as molecular biomarker for petroleum contamination in tropical fresh water ecosystems.

机构信息

Laboratory of Ecophysiology and Molecular Evolution, National Institute for Research in the Amazon (INPA) Ave André Araújo 2936, 69060-001 Manaus, AM, Brazil.

出版信息

Aquat Toxicol. 2011 May;103(1-2):46-52. doi: 10.1016/j.aquatox.2011.02.004. Epub 2011 Feb 15.

Abstract

In order to monitor potential contamination deriving from exploration and transport of oil in the Urucu region (Brazil), there is a need to establish suitable biomarkers for native Amazonian fish. Therefore, the transcript expression of various potentially sensitive genes (ahr2(1), cyp1a, hmox1, hsp70, maft, mt, nfe212, gstp1 and nqo1) in fish exposed to water soluble fractions of oil (WSF) was compared. The analysis was first performed in an established laboratory model, the zebrafish embryo. The cyp1a gene proved to be the most sensitive and robust marker for oil contamination and, hence, was selected to study the effect of oil-derived contaminants in the Amazonian cichlid Astronotus ocellatus. Induction of cyp1a transcript expression was observed for ≥0.0061% (v/v) WSFs. In liver samples of fish, collected from different lakes in the Urucu oil mining area, no elevated expression of cyp1a transcripts was observed. The data demonstrate the high sensitivity of cyp1a as indicator of oil exposure; further studies should be considered to test its usefulness at known contaminated sites and to evaluate influential factors by, e.g. mesocosm experiments.

摘要

为了监测乌鲁库地区(巴西)石油勘探和运输过程中可能产生的污染,有必要为当地的亚马孙鱼类建立合适的生物标志物。因此,比较了暴露于油的水溶性部分(WSF)的鱼类中各种潜在敏感基因(ahr2(1)、cyp1a、hmox1、hsp70、maft、mt、nfe212、gstp1 和 nqo1)的转录表达。首先在已建立的实验室模型——斑马鱼胚胎中进行了分析。结果表明,cyp1a 基因是最敏感和最稳健的石油污染标志物,因此被选择来研究石油衍生污染物对亚马孙丽鱼科鱼类 Astronotus ocellatus 的影响。在 ≥0.0061%(v/v)的 WSF 中观察到 cyp1a 转录物的诱导。在乌鲁库石油矿区不同湖泊采集的鱼类肝脏样本中,未观察到 cyp1a 转录物的表达升高。数据表明 cyp1a 作为石油暴露的指示剂具有很高的灵敏度;应进一步研究其在已知污染场所的有用性,并通过例如,利用中观实验评估影响因素。

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