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与油砂开采活动有关的阿萨巴斯卡河及其支流中的微生物群落的下一代测序。

Next-generation sequencing of microbial communities in the Athabasca River and its tributaries in relation to oil sands mining activities.

机构信息

National Research Council Canada, Montreal, Quebec, Canada.

出版信息

Appl Environ Microbiol. 2012 Nov;78(21):7626-37. doi: 10.1128/AEM.02036-12. Epub 2012 Aug 24.

Abstract

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.

摘要

阿萨巴斯卡油砂矿床是世界上最大的稠油储量。最近,对石油的需求飙升,以及现代沥青提取技术的可用性,加剧了对该储层的开采,以及阿萨巴斯卡河污染的潜在意外后果。本研究的主要目的是评估油砂开采对邻近水生生境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中采集沉积物样本中的微生物群落。使用下一代测序技术(454 和 Ion Torrent)扩增和测序细菌和古菌 16S rRNA 基因。还对沉积物进行了各种化学和物理特性分析。尾矿池中的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截然不同。靠近尾矿池的沉积物中的微生物群落与尾矿池中的细尾矿中的微生物群落更相似,而与更远距离的沉积物中的微生物群落则不同。此外,尾矿池沉积物中的细菌多样性显著降低。一些细菌和古菌的分类群与不同污染物的浓度显著相关,这突出了它们作为生物指标的潜力。我们还通过比较 Ion Torrent 和 454 数据集以及分析对照样品,在环境研究背景下广泛验证了 Ion Torrent 测序。

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