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首页> 外文期刊>Microbial Ecology: An International Journal >Analysis of microbial communities in a landfill leachate polluted aquifer using a new method for anaerobic physiological profiling and 16S rDNA based fingerprinting
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Analysis of microbial communities in a landfill leachate polluted aquifer using a new method for anaerobic physiological profiling and 16S rDNA based fingerprinting

机译:厌氧生理特征分析和基于16S rDNA的新方法分析垃圾渗滤液污染含水层中的微生物群落

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Databases containing information regarding presence and activity of microbial communities will be very useful for determination of the potential for intrinsic bioremediation in landfill leachate polluted aquifers. Simple analyses such as community-level physiological profiling (CLPP) and denaturing gradient gel electrophoresis (DGGE) of 16S rDNA fragments yield large sets of data for inclusion into such databases. In this study we describe the development of a method for anaerobic CLPP, using commercially available Biolog plates. Incubation at the in situ temperature of the aquifer (10 deg C) for 28 days was optimal for-obtaining a specific, reproducible physiological profile. Anaerobic incubation was essential for profiling anaerobic communities. The anaerobic cultivationdependent CLPP method and cultivation-independent DGGE were applied to groundwater and sediment samples from the aquifer near the Coupepolder landfill in The Netherlands. A combination of computer-assisted CLPP and DGGE analysis of both groundwater and sediment samples yielded the best separating power for characterizing microbial communities in the aquifer. Communities in groundwater were significantly different from those in the corresponding sediment. Microbial communities present in subsamples from sediment cores usually were similar for the various sampling locations. Variation was observed for the heterogeneous sediment beneath the landfill. Both anaerobic CLPP and DGGE analysis clearly separated microbial communities from the polluted aquifer underneath the landfill from those in the less or not polluted aquifer downstream and upstream of the landfill.
机译:包含有关微生物群落的存在和活动的信息的数据库对于确定垃圾渗滤液污染的含水层内在生物修复的潜力非常有用。简单的分析,例如16S rDNA片段的社区级生理概况分析(CLPP)和变性梯度凝胶电泳(DGGE),可产生大量数据集,可包含在此类数据库中。在这项研究中,我们描述了使用市售Biolog板开发厌氧CLPP方法的方法。在含水层的原位温度(10摄氏度)下孵育28天是获得特定,可再现的生理特征的最佳方法。厌氧培养对于分析厌氧群落至关重要。厌氧培养依赖CLPP方法和非培养依赖DGGE用于荷兰Coupepolder垃圾填埋场附近含水层的地下水和沉积物样品。结合计算机辅助的CLPP和DGGE对地下水和沉积物样品进行分析,可得出表征含水层中微生物群落的最佳分离能力。地下水中的群落与相应沉积物中的群落显着不同。对于不同的采样位置,来自沉积物核心的子样品中存在的微生物群落通常是相似的。观察到填埋场下的非均质沉积物有变化。厌氧CLPP和DGGE分析均清楚地将微生物群落与垃圾填埋场下方受污染的含水层与垃圾填埋场下游和上游受污染程度较低或没有污染的含水层中的微生物区分开。

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