Evidence map›Paper›PMID 37110269›Full record

ArticleMicroorganisms2023

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

Joyce Dutra, Glen García, Rosimeire Gomes, Mariana Cardoso, Árley Côrtes, Tales Silva, Luís de Jesus, Luciano Rodrigues, Andria Freitas, Vinicius Waldow and 9 more

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. The Nitratidesulfovibrio sp. and Thermodesulfomicrobium sp.: Isolated Sulfate-Reducing Bacteria From Ahvaz Oilfield in Khouzestan.Water environment research : a research publication of the Water Environment Federation · 2026
    Article
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors at 2 institutions in 1 country.

Joyce DutraDepartment of Microbiology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil.ORCID 0000-0003-2050-6706
Glen GarcíaDepartments of Bioinformatic, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil.ORCID 0000-0003-2062-5588
Rosimeire GomesDepartment of Microbiology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil.
Mariana CardosoDepartments of Bioinformatic, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil.ORCID 0000-0002-4351-5835
Árley CôrtesDepartment of Genetics Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil.
Tales SilvaDepartment of Genetics Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil.
Luís de JesusDepartment of Genetics Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil.
Luciano RodriguesDepartment of Veterinary Medicine, Faculty of Veterinary, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil.
Andria FreitasDepartment of Genetics Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil.ORCID 0000-0002-2498-7933
Vinicius WaldowPetrobras Research and Development Center (CENPES), Petrobras, Rio de Janeiro 21941-915, RJ, Brazil.
Juliana LagunaDepartment of Genetics Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil.ORCID 0000-0002-1032-4258
Gabriela CamposDepartment of Genetics Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil.
Monique AméricoDepartment of Genetics Ecology and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil.ORCID 0000-0002-6501-9533
Rubens AkaminePetrobras Research and Development Center (CENPES), Petrobras, Rio de Janeiro 21941-915, RJ, Brazil.
Maíra de SousaPetrobras Research and Development Center (CENPES), Petrobras, Rio de Janeiro 21941-915, RJ, Brazil.
Claudia GroposoPetrobras Research and Development Center (CENPES), Petrobras, Rio de Janeiro 21941-915, RJ, Brazil.
Henrique FigueiredoDepartment of Veterinary Medicine, Faculty of Veterinary, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil.
Vasco AzevedoDepartment of Microbiology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil.ORCID 0000-0002-4775-2280
Aristóteles Góes-NetoDepartment of Microbiology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil.ORCID 0000-0002-7692-6243
Universidade Federal de Minas Gerais · BRPetrobras (Brazil) · BR

Funding

Coordination for the Improve- ment of Higher Education Personnel 0622/2020 / 464 88881.506612/2020-01Minas Gerais Research Funding Foundation RED-00132-16National Council for Scientific and Technological Development 155750/2019-4Petrobras (Brazil) SIGITEC 2017/00587-2; ANP n? 21035-1
6 · The paper itself

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

Indexed as

metabarcodingmicrobiologically influenced corrosionoil industrypetroleumproduced water

Identifiers

PMID37110269
PMCPMC10141917
OpenAlexW4361006919

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.