Evidence map›Paper›PMID 41003703›Full record

ArticleBiotechnology letters2025

Exploring the diversity of produced water bacteria with hydrocarbon-degrading potential using MALDI-TOF MS and multivariate statistical analyses.

Maryam Al-Kaabi, Nabil Zouari, Mohammad Yousaf Ashfaq, Mohammad A Al-Ghouti

Abstract read
In one paragraph

Article in Biotechnology letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

4 authors.

Maryam Al-KaabiEnvironmental Sciences Program, Department of Biological and Environmental Sciences, College of Arts and Sciences, Qatar University, P.O.B 2713, Doha, Qatar.
Nabil ZouariEnvironmental Sciences Program, Department of Biological and Environmental Sciences, College of Arts and Sciences, Qatar University, P.O.B 2713, Doha, Qatar. Nabil.Zouari@qu.edu.qa.ORCID http://orcid.org/0000-0003-4652-1656
Mohammad Yousaf AshfaqEnvironmental Sciences Program, Department of Biological and Environmental Sciences, College of Arts and Sciences, Qatar University, P.O.B 2713, Doha, Qatar.
Mohammad A Al-GhoutiEnvironmental Sciences Program, Department of Biological and Environmental Sciences, College of Arts and Sciences, Qatar University, P.O.B 2713, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The success of bioremediation of produced water relies on the use of hydrocarbon-degrading bacteria. Hence, the selection of highly tolerant endogenous strains from produced water is crucial to designing successful bioremediation. However, the employed isolation and screening approaches are, in general, long. Integrative and rapid approaches based on microbiological and molecular techniques are now required due to the frequent fluctuation of the composition of the produced water. Here, enrichment cultures at high toxicity followed by protein profiling using MALDI-TOF MS were shown to be efficient in clustering the endogenous hydrocarbon-degrading bacteria and help select the potential candidates. Several bacterial strains (n = 18) were isolated from produced water sampled from Qatar's North Field natural gas production. Fourteen strains were identified as Bacillus cereus (n = 14), and one as Staphylococcus hominis (n = 1) using MALDI-TOF MS. Three strains were identified as Aneurinibacillus humi (n = 2) and Aneurinibacillus aneurinilyticus (n = 1) through ribotyping. The strains were further differentiated based on their protein profiles using MALDI-TOF MS and multivariate statistical analyses. Multivariate analyses (composite correlation index, principal component analysis, and dendrogram) demonstrated substantial diversity among the isolates, highlighting their potential as robust candidates for bioremediation and produced water treatment.

Indexed as

BacteriaHydrocarbonsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationWater MicrobiologyBiodegradation, EnvironmentalMultivariate AnalysisQatarHydrocarbonsBacterial diversityEnrichment culturesHydrocarbon-degrading bacteriaMALDI-TOF MSProduced water

Identifiers

PMID41003703
PMCPMC12474702

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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.