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Ecological adaptation of the Persian Gulf polychaete in a polluted area: proteomics concerning dominant defensive biomarkers

机译:波斯湾多芯片在污染区域的生态适应:关于主导防守生物标志物的蛋白质组学

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Marine species are negatively affected by wastewater. Based on our field observation along the Persian Gulf coastal areas, a widespread colony of polychaete worms, Galeolaria sp. lived in an area polluted with municipal wastewater. Accordingly, we hypothesized that a probable ecological adaption to bacterial pollutants has occurred. To test this hypothesis, protein profiling of coelomic fluid in the polychaetes collected from polluted and non-polluted areas was compared by RP-HPLC and 2DE, followed by MALDI-TOF analyses. The identical spots were selected as biomarkers, and the function of those proteins was determined by searching in databases in order to annotate their homologs using bioinformatics analyses by BLASTP, InterPro, PROSITE, Panther, and CDD servers. Twenty six and 17 HPLC fractions were extracted from the samples of polluted and non-polluted areas, respectively. Bacterial load in the water of polluted area was 2.8-fold higher than non-polluted area. The protein content of the samples of polluted area (3.65 mu g/mu L) was significantly greater than the samples of non-polluted (2.50 mu g/mu L) ones. MDS analysis of the HPLC profiles discriminated molecular pattern of polluted and non-polluted samples. Quantitative analysis of 2-DE results showed 65 and 23 spots in the polluted and non-polluted areas, respectively. Homology analyses of the peptide fragments derived from three biomarkers in the samples from polluted area, respectively, showed similarity with keratin, cyanelle 30S ribosomal protein, and peptidyl-prolyl isomerase, suggesting a reaction against bacterial pollution. The dominant biomarkers confirmed that probably a conditional adaptation has been happened in the polychaetes lived in the polluted area.
机译:海洋物种受废水产生负面影响。基于我们沿波斯湾沿海地区的野外观察,古罗拉里亚州普遍殖民地殖民地。住在与市污水污染的地区。因此,我们假设发生了对细菌污染物的可能生态适应。为了测试该假设,通过RP-HPLC和2DE比较了从污染和非污染区域收集的多晶中的蛋白质谱的蛋白质分析,然后进行了MALDI-TOF分析。选择相同的斑点作为生物标志物,并且通过在数据库中搜索来确定这些蛋白质的功能,以便使用BLASTP,Interpro,Prosite,Panther和CDD服务器使用Bioinformatics分析它们的同源物。从污染和非污染区域的样品中提取二十六和17个HPLC级分。污染面积的细菌载荷高于非污染区域2.8倍。污染区域样品(3.65μg/ mu l)的蛋白质含量明显大于未污染(2.50μg/ mu l)的样品。 HPLC分布的MDS分析鉴定污染和非污染样品的分子模式。 2-DE结果的定量分析分别显示污染和非污染区域中的65和23个斑点。分别从污染区域的样品中衍生自三种生物标志物的肽片段的同源性分析,显示出与角蛋白,Cyanelle 30s核糖体蛋白和肽基 - 脯氨酰异构酶的相似性,表明对细菌污染的反应。主导的生物标志物证实,在污染地区的多重地区发生了有条件适应。

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