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Multi-omics analysis reveals metabolic pathways of benzene biodegradation under sole or mixed carbon sources

ABSTRACT: Proteomics and metabolomics can be used to efficiently and conveniently assess proteins and metabolites during microbial degradation of pollutants; these analytical techniques are closely correlated and mutually confirmed and provide a means to explore degradation pathways. The degradation pathways and regulatory characteristics of Microbacterium sp. M.CSW3 for the metabolism of benzopyrene (BaP) alone and in the presence of phenanthrene and pyrene were investigated using these omics. Proteomics results showed that CLP protease, ABC transporter, aldehyde dehydrogenase, and enoyl-CoA hydratase were important for the metabolism of polycyclic aromatic hydrocarbons (PAHs). Five pathways for the microbial degradation of benzopyrene were suggested by metabolomics, and phenanthrene was identified as an intermediate metabolite. Further, correlation analysis showed that the two stress environments inhibited the biosynthesis of bacterial amino acids. The glycolysis/gluconeogenesis and fatty acid degradation pathways played a positive role in energy acquisition and PAHs degradation. Addition of low-molecular-weight PAHs promoted the production of related enzyme systems and also make the degradation of BaP more thorough. This study provides efficient concepts and methods for the exploration of degradation mechanisms of high-molecular-weight PAHs and co-metabolism of mixed PAHs.

ORGANISM(S): Microbacterium

SUBMITTER: Yi Zhu

PROVIDER: PXD037519 | iProX | Mon Oct 17 00:00:00 BST 2022

REPOSITORIES: iProX

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Project description:Polycyclic aromatic hydrocarbons are common pollutants in soil, have negative effects on soil ecosystems, and are potentially carcinogenic. The Springtail (Collembola) Folsomia candida is often used as an indicator species for soil toxicity. Here we report a toxicogenomic study that translates the ecological effects of the polycyclic aromatic hydrocarbon phenanthrene in soil to the early transcriptomic responses in Folsomia candida. Microarrays were used to examine two different exposure concentrations of phenanthrene, namely the EC10 (24.95 mg kg-1 soil) and EC50 (45.80 mg kg-1 soil) on reproduction of this springtail, which evoked 405 and 251 differentially expressed transcripts, respectively. Fifty transcripts were differential in response to either concentration. Many transcripts encoding xenobiotic detoxification and biotransformation enzymes (phases I, II, and III) were upregulated in response to either concentration. Furthermore, indications of general and oxidative stress were found in response to phenanthrene. Chitin metabolism appeared to be disrupted particularly at the low concentration, and protein translation appeared suppressed at the high concentration of phenanthrene; most likely in order to reallocate energy budgets for the detoxification process. Finally, an immune response was evoked especially in response to the high effect concentration, which was also described in a previous transcriptomic study using the same effect concentration (EC50) of cadmium. Our study provides new insights in the molecular mode of action of the important polluting class of polycyclic aromatic hydrocarbons in soil animals. Furthermore, we present a fast, sensitive, and specific soil toxicity test which enhances traditional tests and may help to improve current environmental risk assessments and monitoring of potentially polluted sites. Folsomia candida was exposed to phenanthrene spiked soil or untreated (reference/control) soil for 2 days. Two different concentrations of phenanthrene were used, 24.95 and 45.80 mg/kg soil which represent the EC10 and EC50 on reproduction, respectively. For each concentration treatment 4 biological replicates were used, replicate samples consisted of total RNA extracted from ~30 animals exposed in the same jar to either reference or phenanthrene spiked soil. Phenanthrene treated samples were always hybridized to reference samples in an evenly distributed dye-swap manner, which resulted in total in 8 hybridizations of 16 samples.

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Multi-omics analysis reveals metabolic pathways of benzene biodegradation under sole or mixed carbon sources

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