在我国，石油类污染已经成为近海海洋环境中最主要的有机污染物之一，然而由于化学监测未能指示污染物生物效应状况，而生物学监测手段落后，长期制约着石油类污染生物学效应的监测与早期预警。本研究拟以褐鲳鮋为实验动物，以高通量RNA测序和数字基因表达谱新技术为手段，比较研究石油可溶性组分急性与亚慢性水体暴露下褐鲳鮋转录组表达谱，获得特异的显著性差异表达基因；研究石油胁迫下的剂量-效应和时间-效应关系，筛选出一组特异性强、灵敏度高、效应快的分子生物学检测指标；整合多种分子生物标志物技术在厦门监测海域开展石油类污染生物效应应用研究，建立褐菖鲉响应石油类污染新的分子生物学标志物，综合评价监测海域石油类污染分子生物学效应状况。预期结果将为我国海洋石油类污染状况及其生物学效应的快速监测、评价和预警提供新的科学技术支撑。

Oil pollution has been one of the most dominant contaminants in the coastal waters of China over the past decades and a long challenging task of monitoring and early predicting the biological effects of the pollution because chemical monitoring is not able to indicate the biological effects and biological monitoring technique are rather leg-behinded in our country. In the present study, the specific genes differentially expressed in Sebastiscus marmoratus under acute and sub-chronic exposures of crude oil water soluble fraction will be obtained respectively based on newly developed Solexa/Illumina RNA-seq and Digital gene expression profiling techniques at transcriptional level. Then, a group of candidate biomarkers characterized by specificity, sensitivity and early-warming will be identified from the fish liver through dose-response and time course experiments in laboratory. Finally, multiple biomarkers established from Sebastiscus marmoratus will be applied to monitoring oil pollution and assessing the impact of the pollution on fish in field (Xiamen waters). It is anticipated that the group of new molecular biomarkers to be set up will play an important role in scientific and technological supporting for rapid monitoring, assessing and predicting the biological effects of marine oil pollution in our country.