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Analysis of Bacterial Diversity in Different Heavy Oil Wells of a Reservoir in South Oman with Alkaline pH

机译:pH值呈碱性的南阿曼水库不同稠油井细菌多样性分析

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摘要

The identification of potential hydrocarbon utilizing bacteria is an essential requirement in microbial enhanced oil recovery (MEOR). Molecular approaches like proteomic and genomic characterization of the isolates are replacing the traditional method of identification with systemic classification. Genotypic profiling of the isolates includes fingerprint or pattern-based technique and sequence-based technique. Understanding community structure and dynamics is essential for studying diversity profiles and is challenging in the case of microbial analysis. The present study aims to understand the bacterial community composition from different heavy oil contaminated soil samples collected from geographically related oil well areas in Oman and to identify spore-forming hydrocarbon utilizing cultivable bacteria. V4 region of 16S rDNA gene was the target for Ion PGM™. A total of 825081 raw sequences were obtained from Ion torrent from all the 10 soil samples. The species richness and evenness were found to be moderate in all the samples with four main phyla, Firmicutes, Bacteroidetes, Proteobacteria, and Actinobacteria, the most abundant being Firmicutes. Bacillus sp. ubiquitously dominated in all samples followed by Paenibacillus, which was followed by Brevibacillus, Planococcus, and Flavobacterium. Principal Coordinate Analysis (PCoA) and UPGMA dendrogram clustered the 10 soil samples into four main groups. Weighted UniFrac significance test determined that there was significant difference in the communities present in soil samples examined. It can be concluded that the microbial community was different in all the 10 soil samples with Bacillus and Paenibacillus sp. as predominating genus. The 16S rDNA sequencing of cultivable spore-forming bacteria identified the hydrocarbon utilizing bacteria as Bacillus and Paenibacillus sp. and the nucleotide sequences were submitted to NCBI GenBank under accession numbers . Bacillus and Paenibacillus sp., which were relatively abundant in the oil fields, can be recommended to be chosen as candidates for hydrocarbon utilization study.
机译:鉴定潜在的利用碳氢化合物的细菌是提高微生物采油率(MEOR)的基本要求。分离物的蛋白质组学和基因组表征等分子方法正在用系统分类代替传统的鉴定方法。分离物的基因型分析包括基于指纹或模式的技术和基于序列的技术。了解群落结构和动力学对于研究多样性特征至关重要,并且在微生物分析方面具有挑战性。本研究旨在了解从阿曼与地理相关的油井地区收集的不同重油污染土壤样品中的细菌群落组成,并利用可培养细菌鉴定形成孢子的碳氢化合物。 16S rDNA基因的V4区是Ion PGM™的靶标。从所有10个土壤样品的离子洪流中总共获得825081个原始序列。在所有具有四个主要门,硬毛菌,拟杆菌,变形杆菌和放线菌的样品中,发现物种丰富度和均匀度中等,其中最丰富的是硬毛菌。芽孢杆菌在所有样品中普遍存在,随后是Paenibacillus,其次是Brevibacillus,Planococcus和Flavobacterium。主坐标分析(PCoA)和UPGMA树状图将10个土壤样品分为四个主要组。加权UniFrac显着性检验确定,所检查的土壤样品中存在的群落存在显着差异。可以得出结论,在带有芽孢杆菌和芽孢杆菌属的所有10个土壤样品中,微生物群落都不同。作为主要的属。可培养孢子形成细菌的16S rDNA序列鉴定了利用细菌为芽孢杆菌和芽孢杆菌属的细菌鉴定的碳氢化合物。并以登录号将核苷酸序列提交给NCBI GenBank。推荐使用在油田中相对丰富的芽孢杆菌和Paenibacillus sp。作为烃利用研究的候选对象。

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