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全球含油区腐蚀性微生物:16S 扩增子宏基因组研究的系统综述、分析和科学综合。

Corrosion-influencing microorganisms in petroliferous regions on a global scale: systematic review, analysis, and scientific synthesis of 16S amplicon metagenomic studies.

机构信息

Graduate Program in Microbiology, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.

Graduate Program in Bioinformatics, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.

出版信息

PeerJ. 2023 Jan 13;11:e14642. doi: 10.7717/peerj.14642. eCollection 2023.

Abstract

The objective of the current systematic review was to evaluate the taxonomic composition and relative abundance of bacteria and archaea associated with the microbiologically influenced corrosion (MIC), and the prediction of their metabolic functions in different sample types from oil production and transport structures worldwide. To accomplish this goal, a total of 552 published studies on the diversity of microbial communities using 16S amplicon metagenomics in oil and gas industry facilities indexed in Scopus, Web of Science, PubMed and OnePetro databases were analyzed on 10th May 2021. The selection of articles was performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Only studies that performed amplicon metagenomics to obtain the microbial composition of samples from oil fields were included. Studies that evaluated oil refineries, carried out amplicon metagenomics directly from cultures, and those that used DGGE analysis were removed. Data were thoroughly investigated using multivariate statistics by ordination analysis, bivariate statistics by correlation, and microorganisms' shareability and uniqueness analysis. Additionally, the full deposited databases of 16S rDNA sequences were obtained to perform functional prediction. A total of 69 eligible articles was included for data analysis. The results showed that the sulfidogenic, methanogenic, acid-producing, and nitrate-reducing functional groups were the most expressive, all of which can be directly involved in MIC processes. There were significant positive correlations between microorganisms in the injection water (IW), produced water (PW), and solid deposits (SD) samples, and negative correlations in the PW and SD samples. Only the PW and SD samples displayed genera common to all petroliferous regions, and (PW), and (SD). There was an inferred high microbial activity in the oil fields, with the highest abundances of (i) cofactor, (ii) carrier, and (iii) vitamin biosynthesis, associated with survival metabolism. Additionally, there was the presence of secondary metabolic pathways and defense mechanisms in extreme conditions. Competitive or inhibitory relationships and metabolic patterns were influenced by the physicochemical characteristics of the environments (mainly sulfate concentration) and by human interference (application of biocides and nutrients). Our worldwide baseline study of microbial communities associated with environments of the oil and gas industry will greatly facilitate the establishment of standardized approaches to control MIC.

摘要

本次系统综述的目的是评估与微生物影响腐蚀(MIC)相关的细菌和古菌的分类组成和相对丰度,并预测其在来自全球石油生产和运输结构的不同样本类型中的代谢功能。为了实现这一目标,我们于 2021 年 5 月 10 日对 Scopus、Web of Science、PubMed 和 OnePetro 数据库中索引的 552 篇关于油气行业设施中微生物群落多样性的使用 16S 扩增子宏基因组学的已发表研究进行了分析。文章的选择是按照系统评价和荟萃分析的首选报告项目(PRISMA)指南进行的。仅纳入了使用扩增子宏基因组学获取油田样本微生物组成的研究。排除了评估炼油厂、直接从培养物中进行扩增子宏基因组学以及使用 DGGE 分析的研究。通过排序分析的多元统计、相关性的二元统计以及微生物的共享性和独特性分析,对数据进行了深入研究。此外,还获得了 16S rDNA 序列的完整存储数据库,以进行功能预测。共有 69 篇符合条件的文章纳入数据分析。结果表明,硫化物生成、产甲烷、产酸和硝酸盐还原功能群表达最为显著,所有这些功能群都可以直接参与 MIC 过程。注入水(IW)、产出水(PW)和固体沉积物(SD)样本中的微生物之间存在显著的正相关,而 PW 和 SD 样本之间则存在负相关。只有 PW 和 SD 样本显示出所有含油地区共有的属,和 (PW),和 (SD)。油田中存在推断出的高微生物活性,与生存代谢相关的最高丰度为 (i) 辅因子、(ii) 载体和 (iii) 维生素生物合成。此外,在极端条件下还存在次级代谢途径和防御机制。竞争或抑制关系和代谢模式受环境的物理化学特性(主要是硫酸盐浓度)和人为干扰(杀菌剂和营养物的应用)的影响。我们对与油气行业环境相关的微生物群落进行的全球基准研究将极大地促进建立控制 MIC 的标准化方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3350/9841911/85755ff7f0b7/peerj-11-14642-g001.jpg

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