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Next-Generation Sequencing of Microbial Communities in the Athabasca River and Its Tributaries in Relation to Oil Sands Mining Activities

机译:阿萨巴斯卡河及其支流中微生物群落的下一代测序与油砂开采活动的关系

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The Athabasca oil sands deposit is the largest reservoir of crude bitumen in the world. Recently, the soaring demand for oil and the availability of modern bitumen extraction technology have heightened exploitation of this reservoir and the potential unintended consequences of pollution in the Athabasca River. The main objective of the present study was to evaluate the potential impacts of oil sands mining on neighboring aquatic microbial community structure. Microbial communities were sampled from sediments in the Athabasca River and its tributaries as well as in oil sands tailings ponds. Bacterial and archaeal 16S rRNA genes were amplified and sequenced using next-generation sequencing technology (454 and Ion Torrent). Sediments were also analyzed for a variety of chemical and physical characteristics. Microbial communities in the fine tailings of the tailings ponds were strikingly distinct from those in the Athabasca River and tributary sediments. Microbial communities in sediments taken close to tailings ponds were more similar to those in the fine tailings of the tailings ponds than to the ones from sediments further away. Additionally, bacterial diversity was significantly lower in tailings pond sediments. Several taxonomic groups of Bacteria and Archaea showed significant correlations with the concentrations of different contaminants, highlighting their potential as bioindicators. We also extensively validated Ion Torrent sequencing in the context of environmental studies by comparing Ion Torrent and 454 data sets and by analyzing control samples.
机译:阿萨巴斯卡油砂矿床是世界上最大的原油沥青储存库。近来,对石油的飞涨需求和现代沥青提取技术的可用性提高了对该储层的开采,并加剧了阿萨巴斯卡河的潜在潜在污染后果。本研究的主要目的是评估油砂开采对邻近水生微生物群落结构的潜在影响。从阿萨巴斯卡河及其支流以及油砂尾矿池的沉积物中取样微生物群落。使用下一代测序技术(454和Ion Torrent)对细菌和古细菌16S rRNA基因进行扩增和测序。还分析了沉积物的各种化学和物理特征。尾矿池细尾矿中的微生物群落与阿萨巴斯卡河和支流沉积物中的微生物群落明显不同。靠近尾矿池的沉积物中的微生物群落与尾矿池的细尾矿中的微生物群落更相似,而不是与更远的沉积物中的微生物群落相似。此外,尾矿池沉积物中的细菌多样性明显较低。细菌和古细菌的几个分类学类别与不同污染物的浓度显示出显着的相关性,突显了它们作为生物指示剂的潜力。我们还通过比较离子洪流和454数据集以及分析对照样品,在环境研究中广泛验证了离子洪流测序。

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