Resumo:
Proteomics is considered an emerging biotechnological tool that helps to clarify the mechanisms
involved in the biotransformation/biodegradation of hydrocarbons. Therefore, this work aimed to
determine the differential enzymatic patterns of the microbial consortium degrading oil from the
Recôncavo Baiano basin, in addition, this work is relevant for future systems in recovery of
oil-impacted environments. The mixed microbial consortium was composed of 10 bacteria and
23 fungi of marine origin, which were identified by the Sanger method using the 16S and ITS
genes. The consortium was subjected to constant agitation at 180 rpm at 35 °C for 7 days to
assess crude oil depletion and identify enzymatic patterns in the presence of oil. The
concentration of hydrocarbons was detected by gas chromatography coupled to a flame
ionization detector according to the protocol adapted from USEPA 3510 and the degradation
was evaluated by the ratios Pr/Ph, Pr/C17, Ph/C18, HTP/UCM and others. The peptides were
sequenced using MS-MS liquid chromatography and the enzymes were identified using the
PatternLab for Proteomics software. From the preliminary results, a reduction in resolved
hydrocarbons and unresolved complex mixture hydrocarbons, as well as isoprenoids, pristane
and phytane, was observed and could be verified. The proteomic analysis revealed the
predominance of enzymes related to the stress response, transport and translation/transcription
when in the presence of oil and indicated the presence of enzymes associated with the
degradation of xenobiotics, indicating their possible use in biotechnological applications. Thus,
constructing a library of proteins related to crude oil clarifies the degradation potential of the
microbial consortium and lays the foundations for the optimizing of a more robust system of
environmental recovery.