Reference Citation Analysis: Find an Article, Find a Category, Find a Journal, Find a Scholar

Download

Total Articles

2
(from Reference Citation Analysis)

Article PDFs (0)

Cited by > 0 (0)

Searched Name

Vinicius Waldow

Ranked By

Results Analysis

Year Published Analysis
Article Type Analysis
Publication Title Analysis
Category Analysis

Results Analysis

Indexed Articles

Year Published

Show more Refine

Article Type

Show more Refine

Article Statistics

Refine

MESH Headings

Show more Refine

First Author

Show more Refine

First Author Affiliations

Show more Refine

Authors

Show more Refine

Publication Titles

Show more Refine

Grant Agencies

Show more Refine

Countries/Regions

Show more Refine

Affiliations

Show more Refine

Corresponding Author Affiliations

Show more Refine

Category

Show more Refine

Number

Citation Analysis

Dutra J, García G, Gomes R, Cardoso M, Côrtes Á, Silva T, de Jesus L, Rodrigues L, Freitas A, Waldow V, Laguna J, Campos G, Américo M, Akamine R, de Sousa M, Groposo C, Figueiredo H, Azevedo V, Góes-Neto A. Effective Biocorrosive Control in Oil Industry Facilities: 16S rRNA Gene Metabarcoding for Monitoring Microbial Communities in Produced Water. Microorganisms 2023;11:846. [PMID: 37110269 PMCID: PMC10141917 DOI: 10.3390/microorganisms11040846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 03/04/2023] [Accepted: 03/07/2023] [Indexed: 03/29/2023] Open

Affiliation(s)

Joyce Dutra Department of Microbiology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil; (J.D.); (R.G.); (V.A.) Department of Genetics Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil; (Á.C.); (T.S.); (L.d.J.); (A.F.); (J.L.); (G.C.); (M.A.)
Glen García Departments of Bioinformatic, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil; (G.G.); (M.C.)
Rosimeire Gomes Department of Microbiology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil; (J.D.); (R.G.); (V.A.)
Mariana Cardoso Departments of Bioinformatic, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil; (G.G.); (M.C.)
Árley Côrtes Department of Genetics Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil; (Á.C.); (T.S.); (L.d.J.); (A.F.); (J.L.); (G.C.); (M.A.)
Tales Silva Department of Genetics Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil; (Á.C.); (T.S.); (L.d.J.); (A.F.); (J.L.); (G.C.); (M.A.)
Luís de Jesus Department of Genetics Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil; (Á.C.); (T.S.); (L.d.J.); (A.F.); (J.L.); (G.C.); (M.A.)
Luciano Rodrigues Department of Veterinary Medicine, Faculty of Veterinary, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil; (L.R.); (H.F.)
Andria Freitas Department of Genetics Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil; (Á.C.); (T.S.); (L.d.J.); (A.F.); (J.L.); (G.C.); (M.A.)
Vinicius Waldow Petrobras Research and Development Center (CENPES), Petrobras, Rio de Janeiro 21941-915, RJ, Brazil; (V.W.); (R.A.); (M.d.S.); (C.G.)
Juliana Laguna Department of Genetics Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil; (Á.C.); (T.S.); (L.d.J.); (A.F.); (J.L.); (G.C.); (M.A.)
Gabriela Campos Department of Genetics Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil; (Á.C.); (T.S.); (L.d.J.); (A.F.); (J.L.); (G.C.); (M.A.)
Monique Américo Department of Genetics Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil; (Á.C.); (T.S.); (L.d.J.); (A.F.); (J.L.); (G.C.); (M.A.)
Rubens Akamine Petrobras Research and Development Center (CENPES), Petrobras, Rio de Janeiro 21941-915, RJ, Brazil; (V.W.); (R.A.); (M.d.S.); (C.G.)
Maíra de Sousa Petrobras Research and Development Center (CENPES), Petrobras, Rio de Janeiro 21941-915, RJ, Brazil; (V.W.); (R.A.); (M.d.S.); (C.G.)
Claudia Groposo Petrobras Research and Development Center (CENPES), Petrobras, Rio de Janeiro 21941-915, RJ, Brazil; (V.W.); (R.A.); (M.d.S.); (C.G.)
Henrique Figueiredo Department of Veterinary Medicine, Faculty of Veterinary, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil; (L.R.); (H.F.)
Vasco Azevedo Department of Microbiology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil; (J.D.); (R.G.); (V.A.) Department of Genetics Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil; (Á.C.); (T.S.); (L.d.J.); (A.F.); (J.L.); (G.C.); (M.A.) Departments of Bioinformatic, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil; (G.G.); (M.C.)
Aristóteles Góes-Neto Department of Microbiology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil; (J.D.); (R.G.); (V.A.) Departments of Bioinformatic, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil; (G.G.); (M.C.)

Collapse

Dutra J, Gomes R, Yupanqui García GJ, Romero-Cale DX, Santos Cardoso M, Waldow V, Groposo C, Akamine RN, Sousa M, Figueiredo H, Azevedo V, Góes-Neto A. Corrosion-influencing microorganisms in petroliferous regions on a global scale: systematic review, analysis, and scientific synthesis of 16S amplicon metagenomic studies. PeerJ 2023;11:e14642. [PMID: 36655046 PMCID: PMC9841911 DOI: 10.7717/peerj.14642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 12/05/2022] [Indexed: 01/15/2023] Open

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, 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.

Collapse