Decontamination of Oil-Polluted Soils: Power of Electronic Bioinformatic Databases

The main idea was to solve the problem related oil contamination of soil using bioremediation with bioaugmentation modeled microorganism strains. paper aimed develop a bacterial consortium for petroleum hydrocarbon degradation during biological treatment oil-contaminated soils electronic databases. research methodology included an analysis mechanisms and metabolic pathways assessment possible reaction modulus enzymatic systems aromatic compounds. taxonomic classification review compound transformation were carried out KEGG, MetaCyc, EzTaxon KEGG database used create microbiological certain strains bacteria that improved process performance. Identification bacteria’s complete genome Island Viewer 4 allowed oil-destructive consisting such strains: Pseudoxanthomonas spadix BD-a59, Rhodococcus jostii RHA1, aetherivorans IcdP1, Pseudomonas putida ND6, stutzeri 19SMN4, fluorescens UK4, Acinetobacter lactucae OTEC-02, Bacillus cereus F837/76.7.9. ratio between mentioned microorganisms in set at 20 % : 15 10 5 %. This hydrocarbons created according information basic predominant particular compounds BacDive database.