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Molecular Analysis of the Bacterial Communities in Crude Oil Samples from Two Brazilian Offshore Petroleum Platforms

机译:来自两个巴西近海石油平台的原油样本中细菌群落的分子分析

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摘要

Crude oil samples with high- and low-water content from two offshore platforms (PA and PB) in Campos Basin, Brazil, were assessed for bacterial communities by 16S rRNA gene-based clone libraries. RDP Classifier was used to analyze a total of 156 clones within four libraries obtained from two platforms. The clone sequences were mainly affiliated with Gammaproteobacteria (78.2% of the total clones); however, clones associated with Betaproteobacteria (10.9%), Alphaproteobacteria (9%), and Firmicutes (1.9%) were also identified. Pseudomonadaceae was the most common family affiliated with these clone sequences. The sequences were further analyzed by MOTHUR, yielding 81 operational taxonomic units (OTUs) grouped at 97% stringency. Richness estimators also calculated by MOTHUR indicated that oil samples with high-water content were the most diverse. Comparison of bacterial communities present in these four samples using LIBSHUFF and Principal Component Analysis (PCA) indicated that the water content significantly influenced the community structure only of crude oil obtained from PA. Differences between PA and PB libraries were observed, suggesting the importance of the oil field as a driver of community composition in this habitat.
机译:通过基于16S rRNA基因的克隆文库评估了巴西坎波斯盆地两个近海平台(PA和PB)高含水量和低含​​水量的原油样品的细菌群落。使用RDP分类器分析了从两个平台获得的四个文库中的156个克隆。克隆序列主要与γ-变形杆菌有关(占总克隆的78.2%);然而,也鉴定出了与β-变形杆菌(10.9%),α-变形细菌(9%)和Firmicutes(1.9%)相关的克隆。假单胞菌科是与这些克隆序列有关的最常见的家族。通过MOTHUR对序列进行进一步分析,得出81个操作分类单位(OTU),按97%的严格性分组。 MOTHUR还计算出了丰富度估计值,表明含水量最高的石油样品种类最多。使用LIBSHUFF和主成分分析(PCA)对这四个样品中存在的细菌群落进行比较,结果表明,水分含量仅显着影响从PA提取的原油的群落结构。观察到PA库和PB库之间的差异,表明油田作为该生境中社区组成驱动因素的重要性。

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