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Natural attenuation of contaminated marine sediments from an old floating dock Part II: Changes of sediment microbial community structure and its relationship with environmental variables

机译:老浮船坞污染海洋沉积物的自然衰减第二部分:沉积物微生物群落结构的变化及其与环境变量的关系

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Changes of microbial community structure and its relationship with various environmental variables in surface marine sediments were examined for a one-year period after the removal of an old floating dock in Hong Kong SAR, South China. Temporal variations in the microbial community structure were clearly revealed by principal component analysis (PCA) of the microbial ester-linked fatty acid methyl ester (EL-FAME) profiles. The most obvious shift in microbial community structure was detected 6 months after the removal of the dock, although no significant decline in the levels of pollutants could be detected. As determined by EL-FAME profiles, the microbial diversity recovered and the predominance of gram-negative bacteria was gradually replaced by gram-positive bacteria and fungi in the impacted stations. With redundancy analysis (RDA), the concentration of total polycyclic aromatic hydrocarbons (PAHs) was found to be the second important determinant of microbial community structure, next to Time. The relative abundance of 18:lω9c and hydroxyl fatty acids enriched in the PAH hot spots, whereas 16:1ω9 and 18:lω9t were negatively correlated to total PAH concentration. The significant relationships observed between microbial EL-FAME profiles and pollutants, exampled by PAHs in the present study, suggested the potential of microbial community analysis in the assessment of the natural attenuation process in contaminated environments.
机译:在华南香港特别行政区拆除旧浮船坞后的一年内,研究了表层海洋沉积物中微生物群落结构的变化及其与各种环境变量的关系。通过微生物酯连接的脂肪酸甲酯(EL-FAME)图谱的主成分分析(PCA)清楚地揭示了微生物群落结构的时间变化。尽管没有发现污染物水平的显着下降,但在移除码头后的6个月内,微生物群落结构发生了最明显的变化。根据EL-FAME谱图确定,在受影响的站点中,微生物多样性得到恢复,革兰氏阴性细菌的优势逐渐被革兰氏阳性细菌和真菌取代。通过冗余分析(RDA),发现总的多环芳烃(PAHs)的浓度是微生物群落结构的第二重要决定因素,仅次于时间。 18:1ω9c和羟基脂肪酸在PAH热点中富集的相对丰度,而16:1ω9和18:1ω9t与总PAH浓度呈负相关。在本研究中,以PAHs为例,观察到了微生物EL-FAME分布图与污染物之间的重要关系,这表明在评估受污染环境中自然衰减过程时,微生物群落分析的潜力。

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