Bacterial consortium bioremediation presents itself a promising approach to the treatment water, soil and the atmosphere for pollution by oil and its derivatives. In the territory of the Romashkinskoye oil field, Republic of Tatarstan, various decomposers were isolated from oil-contaminated black soil, including three that demonstrated oil resistance and ability to produce biosurfactants. The genome sequencing of the Staphylococcus warneri strain isolated in a consortium of decomposers was performed on the MiSeq Illumina platform. The average content of GC pairs in the genome comprised 32.7 %. Genome annotation was performed using the RAST server. The SEED viewer was applied for subsystem category distribution of predicted genes. The sequenced genome of Staphylococcus warneri strain was identified as containing 2535 protein coding sequences. The majority of annotated genes govern the synthesis of amino acids and their derivatives (255), carbohydrate (195) and protein metabolism (167), cofactors, vitamins, prosthetic groups and pigmented formations (87), nucleosides and nucleotides (78), fatty acid metabolism, lipids and isoprenoids (55), as well as DNA metabolism (68). The full-genome sequencing and genome annotation of the Staphylococcus warneri strain confirmed its hydrocarbon-oxidising properties. The yddN and yceB genes of uncharacterised proteins were identified as similar to alkanal monooxygenases likely to be involved in the biodegradation of alkanes. The three genes detected in this strain code the catechol-2,3-dioxygenase, fumarylacetoacetate hydrolase and salicylate-1-monooxygenase enzymes involved in the biodegradation of aromatic hydrocarbons. The obtained genome sequence data help to provide a better understanding of the process of hydrocarbon degradation (absorption) by the Staphylococcus warneri strain and its role in the bacterial consortium.

Bioremediation using microorganisms has a number of advantages over physical and chemical methods of water, soil and atmosphere purification. Microorganisms have a wide range of metabolic capabilities that enable them to convert, modify and utilize toxic pollutants for energy and biomass production. This article shows their participation in the decomposition of various industrial wastes, such as dyes, hydrocarbons, chlorinated aromatic compounds and pesticides, among others. Although the use of microorganisms is an environmentally friendly and promising way of solving environmental threats, many factors affect the effectiveness of bioremediation, such as the chemical nature of pollutants, their accessibility to microorganisms, the physical and chemical characteristics of the environment, as well as the interaction of the destructive organisms with each other. The search for new effective strains or the creation of superdestructors using genetic and protein engineering methods proves to be crucial under current circumstances. This task can be solved using such “tools” as genomics, proteomics, transcriptomics and metabolomics. These technologies require the integration of a huge amount of data, which cannot be achieved without the use of bioinformatics. Bioinformatics is used in microbial bioremediation in different ways: analysis of genome sequencing data, identification of protein-coding genes, comparative analysis to identify the function of unknown genes, automatic reconstruction and comparison of metabolic pathways, and study of protein–protein and protein–DNA interactions to understand regulatory mechanisms. This review aims to highlight various resources that store information about possible pathways of microbial metabolism involved in the biodegradation of petroleum products. The use of such information resources can become a starting point for many studies in bioremediation.