The discharge of hydrocarbons and their derivatives to environments due to human and/or natural activities cause environmental pollution (soil, water, and air) and affect the natural functioning of an ecosystem. To minimize or eradicate environmental pollution by hydrocarbon contaminants, studies showed strategies including physical, chemical, and biological approaches. Among those strategies, the use of biological techniques (especially bacterial biodegradation) is critically important to remove hydrocarbon contaminants. The current review discusses the insights of major factors that enhance or hinder the bacterial bioremediation of hydrocarbon contaminants (aliphatic, aromatic, and polyaromatic hydrocarbons) in the soil. The key factors limiting the overall hydrocarbon biodegradation are generally categorized as biotic factors and abiotic factors. Among various environmental factors, temperature range from 30 to 40°C, pH range from 5 to 8, moisture availability range from 30 to 90%, carbon/nitrogen/phosphorous (C/N/P; 100:20:1) ratio, and 10–40% of oxygen for aerobic degradation are the key factors that show positive correlation for greatest hydrocarbon biodegradation rate by altering the activities of the microbial and degradative enzymes in soil. In addition, the formation of biofilm and production of biosurfactants in hydrocarbon-polluted soil environments increase microbial adaptation to low bioavailability of hydrophobic compounds, and genes that encode for hydrocarbon degradative enzymes are critical for the potential of microbes to bioremediate soils contaminated with hydrocarbon pollutants. Therefore, this review works on the identification of factors for effective hydrocarbon biodegradation, understanding, and optimization of those factors that are essential and critical.

Hydrocarbon-derived pollutants are becoming one of the most concerning ecological issues. Thus, there is a need to investigate and develop innovative, low-cost, eco-friendly, and fast techniques to reduce and/or eliminate pollutants using biological agents. The study was conducted to isolate, characterize, and identify potential diesel-degrading bacteria. Samples were collected from flower farms, lakeshores, old aged garages, asphalt, and bitumen soils and spread on selective medium (Bushnell Haas mineral salt agar) containing diesel as the growth substrate. The isolates were characterized based on their growth patterns using optical density measurement, biochemical tests, and gravimetric analysis and identified using the Biolog database and 16S rRNA gene sequencing techniques. Subsequently, six diesel degraders were identified and belong to Pseudomonas, Providencia, Roseomonas, Stenotrophomonas, Achromobacter, and Bacillus. Among these, based on gravimetric analysis, the three potent isolates AAUW23, AAUG11, and AAUG36 achieved 84, 83.4, and 83 diesel degradation efficiency, respectively, in 15days. Consequently, the partial 16S rRNA gene sequences revealed that the two most potent bacterial strains (AAUW23 and AAUG11) were Pseudomonas aeruginosa, while AAUG36 was Bacillus subtilis. This study demonstrated that bacterial species isolated from hydrocarbon-contaminated and/or uncontaminated environments could be optimized to be used as potential bioremediation agents for diesel removal.

Soda lakes are extreme saline–alkaline environments that harbor metabolically versatile microbial communities with significant biotechnological potential. This study employed shotgun metagenomics (NovaSeq PE150) to investigate the functional diversity and metabolic potential of microbial communities in Ethiopia’s Chitu and Shala Lakes. An analysis of gene content revealed 554,609 and 525,097 unique genes in Chitu and Shala, respectively, in addition to a substantial fraction (1,253,334 genes) shared between the two, underscoring significant functional overlap. Taxonomic analysis revealed a diverse phylogenetic composition, with bacteria (89% in Chitu Lake, 92% in Shala Lake) and archaea (4% in Chitu Lake, 0.8% in Shala Lake) as the dominant domains, alongside eukaryotes and viruses. Predominant bacterial phyla included Pseudomonadota, Actinomycetota, and Gemmatimonadota, while Euryarchaeota and Nitrososphaerota were prominent among archaea. Key genera identified in both lakes were Nitriliruptor, Halomonas, Wenzhouxiangella, Thioalkalivibrio, Aliidiomarina, Aquisalimonas, and Alkalicoccus. Functional annotation using the KEGG, eggNOG, and CAZy databases revealed that the identified unigenes were associated with various functions. Notably, genes related to amino acid, carbohydrate, and energy metabolism (KEGG levels 1–2) were predominant, indicating that conserved core metabolic functions are essential for microbial survival in extreme conditions. Higher-level pathways included quorum sensing, two-component signal transduction, and ABC transporters (KEGG level 3), facilitating environmental adaptation, stress response, and nutrient acquisition. The eggNOG annotation revealed that 13% of identified genes remain uncharacterized, representing a vast untapped reservoir of novel enzymes and biochemical pathways with potential applications in biofuels, bioremediation, and synthetic biology. This study identified 375 unique metabolic pathways, including those involved in pyruvate metabolism, xenobiotic degradation, lipid metabolism, and oxidative stress resistance, underscoring the microbial communities’ ability to thrive under fluctuating salinity and alkalinity. The presence of carbohydrate-active enzymes (CAZymes), such as glycoside hydrolases, polysaccharide lyases, and oxidoreductases, highlights their role in biomass degradation and carbon cycling. Enzymes such as alkaline proteases (Apr), lipases (Lip), and cellulases further support the lakes’ potential as sources of extremophilic biocatalysts. These findings position soda lakes as reservoirs of microbial innovation for extremophile biotechnology. Future research on unannotated genes and enzyme optimization promises sustainable solutions in bioenergy, agriculture, and environmental management.