Pan‐Genomic and Phenotypic Characterisation of Petroleum Hydrocarbon Degradation by <scp> <i>Pseudomonas</i> </scp> Species

Pseudomonas, a cornerstone genus in petroleum hydrocarbon bioremediation, exhibits remarkable metabolic diversity. To systematically decipher the genetic basis of this trait, we constructed a curated collection of representative Pseudomonas strains with documented degradation capabilities through a bibliometrics-driven approach. Comparative genomic analysis revealed that these strains possess a rich repertoire of genes linked to petroleum hydrocarbon degradation, including those encoding key enzymes such as monooxygenases, dioxygenases, alcohol dehydrogenases, cytochrome P450, ferredoxins, and regulatory proteins (e.g., LuxR, AraC, GntR). Among the strains examined, P. citronellolis and P. putida contained the highest abundance of such genes. The accessory genome size varied considerably across the 15 strains (ranging from 3290 to 5745 genes), and functional enrichment analysis indicated a significant concentration of degradation-related genes within this component. This genomic architecture not only reflects distinct metabolic specialisations among species but also implies potential synergistic interactions, as suggested by the broader genetic accessibility to polycyclic aromatic hydrocarbon (PAH) degradation pathways observed in P. aeruginosa, P. luteola, and P. putida. Overall, this study establishes a robust genomic framework that extends beyond single-species analysis, offering a genus-level perspective essential for designing tailored, high-efficiency microbial consortia for targeted bioremediation strategies.

Authors

Institutions

Publication Details

Journal
Environmental Microbiology Reports
Published
2026-02-01
DOI
https://doi.org/10.1111/1758-2229.70300
Primary Topic
Microbial bioremediation and biosurfactants
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pan‐Genomic and Phenotypic Characterisation of Petroleum Hydrocarbon Degradation by Pseudomonas Species

Ning Zhu, Shuhan Zhang, Borong Ma, Xiaopeng Guo et al.
Environmental Microbiology Reports
Microbial bioremediation and biosurfactants
article

Pan‐Genomic and Phenotypic Characterisation of Petroleum Hydrocarbon Degradation by Pseudomonas Species

Ning Zhu, Shuhan Zhang, Borong Ma, Xiaopeng Guo, Hui Li, Jing Sun, Guanghong Luo, Shenghui Yang, Yonggang Wang, Shuhua Zhu
article en

Abstract

Pseudomonas, a cornerstone genus in petroleum hydrocarbon bioremediation, exhibits remarkable metabolic diversity. To systematically decipher the genetic basis of this trait, we constructed a curated collection of representative Pseudomonas strains with documented degradation capabilities through a bibliometrics-driven approach. Comparative genomic analysis revealed that these strains possess a rich repertoire of genes linked to petroleum hydrocarbon degradation, including those encoding key enzymes such as monooxygenases, dioxygenases, alcohol dehydrogenases, cytochrome P450, ferredoxins, and regulatory proteins (e.g., LuxR, AraC, GntR). Among the strains examined, P. citronellolis and P. putida contained the highest abundance of such genes. The accessory genome size varied considerably across the 15 strains (ranging from 3290 to 5745 genes), and functional enrichment analysis indicated a significant concentration of degradation-related genes within this component. This genomic architecture not only reflects distinct metabolic specialisations among species but also implies potential synergistic interactions, as suggested by the broader genetic accessibility to polycyclic aromatic hydrocarbon (PAH) degradation pathways observed in P. aeruginosa, P. luteola, and P. putida. Overall, this study establishes a robust genomic framework that extends beyond single-species analysis, offering a genus-level perspective essential for designing tailored, high-efficiency microbial consortia for targeted bioremediation strategies.

Environmental Microbiology ReportsVol. 18(1)
Lanzhou University of Technology (CN), Environmental Protection Engineering (Greece) (GR), Kai Biotech (South Korea) (KR)
Openalex Percentile: Top 55%
Microbial bioremediation and biosurfactants
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.