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Volume 11
Issue 4
10.3390/microorganisms11040846
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Article

Effective Biocorrosive Control in Oil Industry Facilities: 16S rRNA Gene Metabarcoding for Monitoring Microbial Communities in Produced Water

by
Joyce Dutra
1,2,
Glen García
3,
Rosimeire Gomes
1,
Mariana Cardoso
3,
Árley Côrtes
2,
Tales Silva
2,
Luís de Jesus
2,
Luciano Rodrigues
4,
Andria Freitas
2,
Vinicius Waldow
5,
Juliana Laguna
2,
Gabriela Campos
2,
Monique Américo
2,
Rubens Akamine
5,
Maíra de Sousa
5,
Claudia Groposo
5,
Henrique Figueiredo
4,
Vasco Azevedo
1,2,3 and
Aristóteles Góes-Neto
1,3,*
1
Department of Microbiology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil
2
Department of Genetics Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil
3
Departments of Bioinformatic, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil
4
Department of Veterinary Medicine, Faculty of Veterinary, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil
5
Petrobras Research and Development Center (CENPES), Petrobras, Rio de Janeiro 21941-915, RJ, Brazil
*
Author to whom correspondence should be addressed.
Microorganisms 2023, 11(4), 846; https://doi.org/10.3390/microorganisms11040846
Submission received: 28 January 2023 / Revised: 4 March 2023 / Accepted: 7 March 2023 / Published: 27 March 2023
(This article belongs to the Special Issue Petroleum Microbiology 2.0)
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Abstract

Microbiologically influenced corrosion (MIC) or biocorrosion is a complex biological and physicochemical process, Strategies for monitoring MIC are frequently based on microbial cultivation methods, while microbiological molecular methods (MMM) are not well-established in the oil industry in Brazil. Thus, there is a high demand for the development of effective protocols for monitoring biocorrosion with MMM. The main aim of our study was to analyze the physico-chemi- cal features of microbial communities occurring in produced water (PW) and in enrichment cultures in oil pipelines of the petroleum industry. In order to obtain strictly comparable results, the same samples were used for both culturing and metabarcoding. PW samples displayed higher phylogenetic diversity of bacteria and archaea whereas PW enrichments cultures showed higher dominance of bacterial MIC-associated genera. All samples had a core community composed of 19 distinct genera, with MIC-associated Desulfovibrio as the dominant genus. We observed significant associations between the PW and cultured PW samples, with a greater number of associations found between the cultured sulfate-reducing bacteria (SRB) samples and the uncultured PW samples. When evaluating the correlation between the physicochemical characteristics of the environment and the microbiota of the uncultivated samples, we suggest that the occurrence of anaerobic digestion metabolism can be characterized by well-defined phases. Therefore, the detection of microorganisms in uncultured PW by metabarcoding, along with physi-cochemical characterization, can be a more efficient method compared to the culturing method, as it is a less laborious and cost-effective method for monitoring MIC microbial agents in oil industry facilities.
Keywords: petroleum; produced water; microbiologically influenced corrosion; oil industry; metabarcoding petroleum; produced water; microbiologically influenced corrosion; oil industry; metabarcoding

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MDPI and ACS Style

Dutra, J.; García, G.; Gomes, R.; Cardoso, M.; Côrtes, Á.; Silva, T.; de Jesus, L.; Rodrigues, L.; Freitas, A.; Waldow, V.; et al. Effective Biocorrosive Control in Oil Industry Facilities: 16S rRNA Gene Metabarcoding for Monitoring Microbial Communities in Produced Water. Microorganisms 2023, 11, 846. https://doi.org/10.3390/microorganisms11040846

AMA Style

Dutra J, García G, Gomes R, Cardoso M, Côrtes Á, Silva T, de Jesus L, Rodrigues L, Freitas A, Waldow V, et al. Effective Biocorrosive Control in Oil Industry Facilities: 16S rRNA Gene Metabarcoding for Monitoring Microbial Communities in Produced Water. Microorganisms. 2023; 11(4):846. https://doi.org/10.3390/microorganisms11040846

Chicago/Turabian Style

Dutra, Joyce, Glen García, Rosimeire Gomes, Mariana Cardoso, Árley Côrtes, Tales Silva, Luís de Jesus, Luciano Rodrigues, Andria Freitas, Vinicius Waldow, and et al. 2023. "Effective Biocorrosive Control in Oil Industry Facilities: 16S rRNA Gene Metabarcoding for Monitoring Microbial Communities in Produced Water" Microorganisms 11, no. 4: 846. https://doi.org/10.3390/microorganisms11040846

APA Style

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. (2023). Effective Biocorrosive Control in Oil Industry Facilities: 16S rRNA Gene Metabarcoding for Monitoring Microbial Communities in Produced Water. Microorganisms, 11(4), 846. https://doi.org/10.3390/microorganisms11040846

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