Characterization of microbiologically influenced corrosion by comprehensive metagenomic analysis of an inland oil field

Nasser, Badoor; Saito, Yoshimoto; Alarawi, Mohammed; Al-Humam, Abdulmohsen A.; Mineta, Katsuhiko; Gojobori, Takashi

doi:10.1016/j.gene.2021.145425

Cited by 11 publications

(6 citation statements)

References 8 publications

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“… Nasser et al (2021) carried out a study in Saudi Arabia evaluating 11 samples, three of them of OW. The authors found that the composition of the microbial communities was not determined by the facilities, but by the physicochemical conditions, specifically the sulfate concentration, since the reservoirs were rich in sulfate.…”

Section: Discussionmentioning

confidence: 99%

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

Dutra

Gomes

García

et al. 2023

PeerJ

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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, Desulfotomaculum and Thermovirga (PW), and Marinobacter (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.

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Section: Discussionmentioning

confidence: 99%

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

Dutra

Gomes

García

et al. 2023

PeerJ

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“…[12,37,84] However, the presence of SRB could not be detected in the Saudi Arabian crude oil system. [13,15,30,32,37,[82][83][84][85] In the Turkish system, various genus of Pseudomonas are found from the analysis of crude oil contaminated soil from Mersin, Turkey. [86] The French system is contaminated with Alpha and Gammaproteobacteria as reported by Hernandez-Raquet et al [87] on the analysis of oilpolluted microbial mats from the Etang de Berre site (France).…”

Section: Case Study 1 (In India)mentioning

confidence: 99%

“…[ 12,37,84 ] However, the presence of SRB could not be detected in the Saudi Arabian crude oil system. [ 13,15,30,32,37,82–85 ]…”

Section: Mic Case Studies In Various Environment In India and Across ...mentioning

confidence: 99%

Microbially induced corrosion issues in the underground buried crude oil and natural gas bearing pipelines: A review

Bairi,

Bhuyan,

Ghosh

et al. 2023

Materials & Corrosion

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Microbially induced corrosion (MIC) damage in crude oil and natural gas‐bearing pipelines is a severe threat for the petroleum industries. This is primarily due to the presence of hydrocarbons, which serve as nutrients for microorganisms. The comfortable growth of these microorganisms in hydrocarbon systems ultimately results in enhanced degradation of the pipelines. Hence, to understand the effect of microorganisms on the degradation of petroleum hydrocarbons and its subsequent influence on the corrosion of pipeline materials, a detailed review of the literature has been carried out. This review is primarily focused on the principal factors and the major microorganisms responsible for biofilm development. Furthermore, the role of these microorganisms in causing MIC in underground buried petroleum‐bearing pipelines has been reviewed in detail. Most importantly, the techniques required for studying MIC have been thoroughly discussed. In addition, a few microbial cases associated with various petroleum industries have been reviewed to acquire a clear understanding about the real situation.

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“…The most applied molecular methods involve DNA extraction, polymerase chain reaction (PCR), amplicon sequencing of 16S rRNA, and shotgun metagenomics [10,[22][23][24][25][26][27][28]. However, RNA-based sequencing approaches that are presented have become alternatives to examine metabolically active microbial communities, including those from oil reservoirs [1,16,17,22].…”

Section: Introductionmentioning

confidence: 99%

Metabolically Active Microbial Communities in Oilfields: A Systematic Review and Synthesis of RNA Preservation, Extraction, and Sequencing Methods

Gomes,

García,

Dutra

et al. 2023

Applied Microbiology

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Characterizing metabolically active microorganisms using RNA-based methods is a crucial tool for monitoring and mitigating operational issues, such as oil biodegradation and biocorrosion of pipelines in the oil and gas industry. Our review, a pioneering study, addresses the main methods used to preserve, isolate, and sequence RNA from oilfield samples and describes the most abundant metabolically active genera studied. Using the MEDLINE/PubMed, PubMed Central, Scopus, and Web of Science databases, 2.561 potentially eligible records were identified. After screening, 20 studies were included in our review, underscoring the scarcity of studies related to the subject. Data were extracted and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). These studies evaluated different samples, including produced water (PW), injection water (IW), solid deposits (SD), oil (OIL), and oily sludge (OS) collected from oilfields located in Australia, China, India, Mexico, and the United Arab Emirates. Environmental samples accounted for 55% of the studies, while enriched cultures and microbial consortia represented 35% and 15% of studies, respectively. PW was the most frequently studied sample, comprising 72% of all samples. Filtration and centrifugation were the only processes employed to concentrate the biomass present in samples. For RNA preservation, the most used method was a solution composed of 95:5 v/v ethanol/TRIzol, while for RNA isolation, the TRIzol reagent was the most cited. The Sanger sequencing method was used in all studies evaluating functional genes (alkB, dsrA, aprA, assA, and mcrA), and the Next-Generation Sequencing (NGS) method was employed in studies for sequencing transcripts of the 16S rRNA gene and metatranscriptomes. Pseudomonas (16S rRNA = PW: 2%; IW: 8%; metatranscriptome = PW: 20%) and Acinetobacter (16S rRNA = PW: 1%; IW: 4%; metatranscriptome = PW: 17%) were the most abundant genera. This study outlined the primary methods employed in researching metabolically active microorganisms. These data provide a foundation for future research. However, it is essential to note that we cannot yet determine the most effective method. We hope that this study will inspire further research related to the standardization of RNA preservation, extraction, and sequencing methods and significantly contribute to our understanding of active microbial communities in oilfields.

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Characterization of microbiologically influenced corrosion by comprehensive metagenomic analysis of an inland oil field

Cited by 11 publications

References 8 publications

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

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

Microbially induced corrosion issues in the underground buried crude oil and natural gas bearing pipelines: A review

Metabolically Active Microbial Communities in Oilfields: A Systematic Review and Synthesis of RNA Preservation, Extraction, and Sequencing Methods

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