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从浅层模拟 CO 泄漏含水层中获得的微生物群落结构和功能的见解表明了微生物的选择和适应。

Insights into microbial community structure and function from a shallow, simulated CO -leakage aquifer demonstrate microbial selection and adaptation.

机构信息

National Energy Technology Laboratory (NETL), Pittsburgh, PA, USA.

Oak Ridge Institute for Science and Education, Oak Ridge, TN, USA.

出版信息

Environ Microbiol Rep. 2019 Jun;11(3):338-351. doi: 10.1111/1758-2229.12675. Epub 2018 Aug 5.

DOI:10.1111/1758-2229.12675
PMID:29984552
Abstract

Geological carbon storage is likely to be a part of a comprehensive strategy to minimize the atmospheric release of carbon dioxide (CO ), raising concerns that injected CO will leak into overlying freshwater aquifers. CO leakage may impact the dominant microbial community responsible for important ecosystem functions such as nutrient cycling, metal cycling and carbon conversion. Here, we examined the impact of an experimental in situ CO -leakage on a freshwater aquifer microbial community. High-throughput 16S rRNA gene sequencing demonstrated lower microbial diversity in freshwater wells with CO concentrations above 1.15 g l . Metagenomic sequencing and population genome binning were used to evaluate the metabolic potential of microbial populations across four CO exposed samples and one control sample. Population genome binning resulted in the recovery and annotation of three metagenome assembled genomes (MAGs). Two of the MAGs, most closely related to Curvibacter and Sulfuricurvum, had the functional capacity for CO utilization via carbon fixation coupled to sulfur and iron oxidation. The third draft genome was an Archaea, most closely related to Methanoregula, characterized by the metabolic potential for methanogenesis. Together, these findings show that CO leakage in a freshwater aquifer poses a strong selection, driving both microbial community structure and metabolic function.

摘要

地质碳储存可能是将二氧化碳(CO )大气释放最小化的综合策略的一部分,这引发了人们的担忧,即注入的 CO 将泄漏到上覆的淡水含水层中。CO 的泄漏可能会影响负责重要生态系统功能(如养分循环、金属循环和碳转化)的主要微生物群落。在这里,我们研究了实验性原地 CO 泄漏对淡水含水层微生物群落的影响。高通量 16S rRNA 基因测序表明,CO 浓度高于 1.15 g l 的淡水井中的微生物多样性较低。宏基因组测序和种群基因组分箱用于评估四个 CO 暴露样本和一个对照样本中微生物种群的代谢潜力。种群基因组分箱导致回收和注释了三个宏基因组组装基因组(MAG)。两个 MAG 与 Curvibacter 和 Sulfuricurvum 最密切相关,具有通过与硫和铁氧化偶联的碳固定来利用 CO 的功能能力。第三个草案基因组是古细菌,与 Methanoregula 最密切相关,其特征是具有产甲烷代谢的潜力。总之,这些发现表明,淡水含水层中的 CO 泄漏构成了强烈的选择,驱动微生物群落结构和代谢功能。

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