A comprehensive review of metabolic and genomic aspects of PAH-degradation
Abstract
Polyaromatic hydrocarbons (PAHs) are considered as hazardous organic priority pollutants. PAHs have immense public concern and critical environmental challenge around the globe due to their toxic, carcinogenic, and mutagenic properties, and their ubiquitous distribution, recalcitrance as well as persistence in environment. The knowledge about harmful effects of PAHs on ecosystem along with human health has resulted in an interest of researchers on degradation of these compounds. Whereas physico-chemical treatment of PAHs is cost and energy prohibitive, bioremediation i.e. degradation of PAHs using microbes is becoming an efficient and sustainable approach. Broad range of microbes including bacteria, fungi, and algae have been found to have capability to use PAHs as carbon and energy source under both aerobic and anaerobic conditions resulting in their transformation/degradation. Microbial genetic makeup containing genes encoding catabolic enzymes is responsible for PAH-degradation mechanism. The degradation capacity of microbes may be induced by exposing them to higher PAH-concentration, resulting in genetic adaptation or changes responsible for high efficiency towards removal/degradation. In last few decades, mechanism of PAH-biodegradation, catabolic gene system encoding catabolic enzymes, and genetic adaptation and regulation have been investigated in detail. This review is an attempt to overview current knowledge of microbial degradation mechanism of PAHs, its genetic reg…
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?
Selecting and engineering microbial strains is time-consuming, scrutinizing genes linked to metal absorption, chelator synthesis, and survival in both natural and human environments.
“Selecting and engineering microbial strains is timeconsuming, scrutinizing genes linked to metal absorption, chelator synthesis, and survival in both natural and human environments.”
From Harnessing bacterial consortia for effective bioremediation: targeted removal of heavy metals, hydrocarbons, and persistent pollutants (2025) · cites this paper as [138]
Cites
Denissenko, M. F., Pao, A., Tang, M.-S., & Pfeifer, G. P. (1996) · Science · doi:10.1126/science.274.5286.430 · Cited by 1,650 · see citing works
Flagged first, then by citations
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
- Sakshi, & Haritash, A. K.
- Affiliations
- Delhi Technological University (IN)
- Corresponding author
- Haritash, A. K.
- ORCID
- Haritash, A. K.
- Venue
- Archives of Microbiology
- Published
- 2020-06-06
- Volume
- 202
- Issue
- 8
- Pages
- 2033-2058
- ISSN
- 0003-9276 (ISSN-L)
- 0302-8933
- 1432-072X
- OpenAlex
- W3034052210
- Cited by
- 273
- References
- 1
- Citations by year
- 2026: 42 · 2025: 46 · 2024: 56 · 2023: 55 · 2022: 38 · 2021: 28 · 2020: 8
- FWCI
- 1.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Archives of Microbiology (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
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Enzyme-mediated dye degradation
- Keywords
- polycyclic aromatic hydrocarbons, PAH biodegradation, bioremediation, catabolic genes, catabolic enzymes, genetic control, genetic engineering, genetically modified microorganisms, microbial adaptation, proteomics, metabolomics, genomics
- MeSH terms
- Bacteria, Biodegradation, Environmental, Biotransformation, Environmental Microbiology, Environmental Pollutants, Fungi, Genetic Engineering, Polycyclic Aromatic Hydrocarbons, Genome, Bacterial, Genome, Fungal
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