Pseudomonas in environmental bioremediation of hydrocarbons and phenolic compounds- key catabolic degradation enzymes and new analytical platforms for comprehensive investigation
Abstract
Pollution of the environment with petroleum hydrocarbons and phenolic compounds is one of the biggest problems in the age of industrialization and high technology. Species of the genus Pseudomonas, present in almost all hydrocarbon-contaminated areas, play a particular role in biodegradation of these xenobiotics, as the genus has the potential to decompose various hydrocarbons and phenolic compounds, using them as its only source of carbon. Plasticity of carbon metabolism is one of the adaptive strategies used by Pseudomonas to survive exposure to toxic organic compounds, so a good knowledge of its mechanisms of degradation enables the development of new strategies for the treatment of pollutants in the environment. The capacity of microorganisms to metabolize aromatic compounds has contributed to the evolutionally conserved oxygenases. Regardless of the differences in structure and complexity between mono- and polycyclic aromatic hydrocarbons, all these compounds are thermodynamically stable and chemically inert, so for their decomposition, ring activation by oxygenases is crucial. Genus Pseudomonas uses several upper and lower metabolic pathways to transform and degrade hydrocarbons, phenolic compounds, and petroleum hydrocarbons. Data obtained from newly developed omics analytical platforms have enormous potential not only to facilitate our understanding of processes at the molecular level but also enable us to instigate and monitor complex biodegradations by Pseudomonas.…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Pseudomonas aeruginosa san ai degrades a wide range of petroleum hydrocarbons, including n-alkanes and polycyclic aromatic hydrocarbons, with up to 98% efficiency.
“Furthermore, polyextremophilic bacteria such as Pseudomonas aeruginosa san ai exhibit exceptional bioremediation efficiency, degrading a wide range of petroleum hydrocarbons, including n-alkanes and polycyclic aromatic hydrocarbons, with up to 98% efficiency.”
From Harnessing bacterial consortia for effective bioremediation: targeted removal of heavy metals, hydrocarbons, and persistent pollutants (2025) · cites this paper as [233]
Cited by
Sorted by citations
Qattan, S. Y. A. (2025) · Environmental Sciences Europe · doi:10.1186/s12302-025-01103-y · Cited by 109 · see citing works
- Authors
- Medić, A. B., & Karadžić, I. M.
- Affiliations
- University of Belgrade (RS)
- Corresponding author
- Medić, Ana B.
- Venue
- World Journal of Microbiology and Biotechnology
- Published
- 2022-07-21
- Volume
- 38
- Issue
- 10
- Pages
- 165-165
- ISSN
- 0959-3993 (ISSN-L)
- 1573-0972
- OpenAlex
- W4286111030
- Cited by
- 108
- References
- 0
- Citations by year
- 2026: 39 · 2025: 33 · 2024: 27 · 2023: 8 · 2022: 1
- FWCI
- 0.97
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- World Journal of Microbiology and Biotechnology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Environmental Science › Pollution › Microbial bioremediation and biosurfactants
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Steroid Chemistry and Biochemistry
- Physical Sciences › Environmental Science › Environmental Chemistry › Environmental Chemistry and Analysis
- Keywords
- Pseudomonas, bioremediation, petroleum hydrocarbons, phenolic compounds, aromatic hydrocarbon degradation, oxygenase, ring cleavage, catabolic enzymes, crude oil pollution, bioplastics, biofuels, phytoremediation
- MeSH terms
- Biodegradation, Environmental, Carbon, Hydrocarbons, Oxygenases, Petroleum, Polycyclic Aromatic Hydrocarbons, Pseudomonas, Soil Pollutants
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review