Metabolomic and Metagenomic Analysis of Two Crude Oil Production Pipelines Experiencing Differential Rates of Corrosion.

Metabolomic and Metagenomic Analysis of Two Crude Oil Production Pipelines Experiencing Differential Rates of Corrosion.
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两种原油生产管道的代谢组和宏基因组分析,经历了腐蚀差异的差异。

DOI:
10.3389/fmicb.2017.00099
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发表时间:
2017
影响因子:
5.2
通讯作者:
Beech I
Beech I
中科院分区:
生物学2区
文献类型:
--
作者:
Bonifay V;Wawrik B;Sunner J;Snodgrass EC;Aydin E;Duncan KE;Callaghan AV;Oldham A;Liengen T;Beech I

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采用宏基因组学和代谢组学技术对北海两条石油生产管道的腐蚀过程进行了研究。两个生产系统具有相似的物理化学性质,并且注入沃茨用硝酸盐处理,但是一个管道经历严重腐蚀,而另一个管道没有。收集早期和晚期清管材料,以深入了解不同腐蚀速率的潜在原因。通过超高效液相色谱/高分辨率质谱法和电喷雾电离(ESI)在正离子和负离子模式下提取和分析金属离子。通过与指示好氧和厌氧烃代谢的标准品进行比较,并通过与KEGG代谢物的预测质量进行比较,对代谢物进行分析。通过16 S rRNA基因qPCR、16 S PCR产物测序和群落DNA的MySeq Illumina鸟枪测序分析了微生物群落结构。宏基因组数据被用来重建全长16 S rRNA基因和优势微生物的基因组。还通过KEGG注释询问序列数据,并询问是否存在与末端电子接受(TEA)过程以及有氧和厌氧烃降解相关的基因。当比较“高腐蚀”(HC)和“低腐蚀”(LC)管道系统时,观察到显著和明显的差异,特别是在TEA利用潜力方面。HC样品占主导地位的硫酸盐还原菌(SRB)和古生菌已知的能力,利用简单的碳底物,而LC样品占主导地位的假单胞菌的遗传潜力的反硝化和好氧烃降解。好氧烃降解基因在HC系统中的频率较低,厌氧烃降解基因在两条管道中均未检测到。这与代谢物分析相反,代谢物分析证明HC样品中存在几种琥珀酸,可诊断厌氧烃代谢。可识别的需氧代谢物仅限于LC样品,与宏基因组数据一致。总的来说,这些数据表明,腐蚀管理可能受益于更精细的了解微生物群落的弹性,在面对干扰,如硝酸盐处理或清管,这往往证明不足以改变社会结构向一个稳定的,腐蚀性较小的组合。
Corrosion processes in two North Sea oil production pipelines were studied by analyzing pig envelope samples via metagenomic and metabolomic techniques. Both production systems have similar physico-chemical properties and injection waters are treated with nitrate, but one pipeline experiences severe corrosion and the other does not. Early and late pigging material was collected to gain insight into the potential causes for differential corrosion rates. Metabolites were extracted and analyzed via ultra-high performance liquid chromatography/high-resolution mass spectrometry with electrospray ionization (ESI) in both positive and negative ion modes. Metabolites were analyzed by comparison with standards indicative of aerobic and anaerobic hydrocarbon metabolism and by comparison to predicted masses for KEGG metabolites. Microbial community structure was analyzed via 16S rRNA gene qPCR, sequencing of 16S PCR products, and MySeq Illumina shotgun sequencing of community DNA. Metagenomic data were used to reconstruct the full length 16S rRNA genes and genomes of dominant microorganisms. Sequence data were also interrogated via KEGG annotation and for the presence of genes related to terminal electron accepting (TEA) processes as well as aerobic and anaerobic hydrocarbon degradation. Significant and distinct differences were observed when comparing the ‘high corrosion’ (HC) and the ‘low corrosion’ (LC) pipeline systems, especially with respect to the TEA utilization potential. The HC samples were dominated by sulfate-reducing bacteria (SRB) and archaea known for their ability to utilize simple carbon substrates, whereas LC samples were dominated by pseudomonads with the genetic potential for denitrification and aerobic hydrocarbon degradation. The frequency of aerobic hydrocarbon degradation genes was low in the HC system, and anaerobic hydrocarbon degradation genes were not detected in either pipeline. This is in contrast with metabolite analysis, which demonstrated the presence of several succinic acids in HC samples that are diagnostic of anaerobic hydrocarbon metabolism. Identifiable aerobic metabolites were confined to the LC samples, consistent with the metagenomic data. Overall, these data suggest that corrosion management might benefit from a more refined understanding of microbial community resilience in the face of disturbances such as nitrate treatment or pigging, which frequently prove insufficient to alter community structure toward a stable, less-corrosive assemblage.