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利用微生物分子特征评估水力压裂对溪流的影响。

Evaluating the Impact of Hydraulic Fracturing on Streams using Microbial Molecular Signatures.

作者信息

Chen See Jeremy R, Wright Olivia, Unverdorben Lavinia V, Heibeck Nathan, Techtmann Stephen M, Hazen Terry C, Lamendella Regina

机构信息

Department of Biology, Juniata College; Wright Labs, LLC.

Department of Biology, Juniata College.

出版信息

J Vis Exp. 2021 Apr 4(170). doi: 10.3791/61904.

Abstract

Hydraulic fracturing (HF), commonly called "fracking", uses a mixture of high-pressure water, sand, and chemicals to fracture rocks, releasing oil and gas. This process revolutionized the U.S. energy industry, as it gives access to resources that were previously unobtainable and now produces two-thirds of the total natural gas in the United States. Although fracking has had a positive impact on the U.S. economy, several studies have highlighted its detrimental environmental effects. Of particular concern is the effect of fracking on headwater streams, which are especially important due to their disproportionately large impact on the health of the entire watershed. The bacteria within those streams can be used as indicators of stream health, as the bacteria present and their abundance in a disturbed stream would be expected to differ from those in an otherwise comparable but undisturbed stream. Therefore, this protocol aims to use the bacterial community to determine if streams have been impacted by fracking. To this end, sediment, and water samples, from streams near fracking (potentially impacted) and upstream or in a different watershed of fracking activity (unimpacted) must be collected. Those samples are then subjected to nucleic acid extraction, library preparation, and sequencing to investigate microbial community composition. Correlational analysis and machine learning models can subsequently be employed to identify which features are explanative of variation in the community, as well as identification of predictive biomarkers for fracking's impact. These methods can reveal a variety of differences in the microbial communities among headwater streams, based on the proximity to fracking, and serve as a foundation for future investigations on the environmental impact of fracking activities.

摘要

水力压裂法(HF),通常称为“压裂”,使用高压水、沙子和化学物质的混合物来压裂岩石,释放石油和天然气。这一过程彻底改变了美国能源行业,因为它能够获取以前无法获得的资源,目前美国三分之二的天然气总产量都来自于此。尽管压裂对美国经济产生了积极影响,但多项研究强调了其对环境的有害影响。特别令人担忧的是压裂对源头溪流的影响,由于它们对整个流域健康有着不成比例的巨大影响,所以尤为重要。这些溪流中的细菌可作为溪流健康状况的指标,因为受干扰溪流中存在的细菌及其数量预计会与其他条件相当但未受干扰的溪流中的细菌有所不同。因此,本方案旨在利用细菌群落来确定溪流是否受到压裂的影响。为此,必须从靠近压裂作业的溪流(可能受到影响)以及上游或压裂活动不同流域(未受影响)采集沉积物和水样。然后对这些样本进行核酸提取、文库制备和测序,以研究微生物群落组成。随后可采用相关分析和机器学习模型来确定哪些特征能够解释群落中的变化,以及识别压裂影响的预测生物标志物。基于与压裂作业的距离,这些方法可以揭示源头溪流微生物群落的各种差异,并为未来关于压裂活动环境影响的调查奠定基础。

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