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Potential syntrophic associations in anaerobic naphthenic acids biodegrading consortia inferred with microbial interactome networks

  • Author(s) / Creator(s)
  • Naphthenic acids (NAs) can be syntrophically metabolized by indigenous microbial communities in pristine sediments beneath oil sands tailings ponds. Syntrophy is an essential determinant of the microbial interactome, however, the interactome network in anaerobic NAs-degrading consortia has not been previously addressed due to complexity and resistance of NAs. To evaluate the impact of electron acceptors on topology of interactome networks, we inferred two microbial interactome networks for anaerobic NAs-degrading consortia under nitrate- and sulfate-reducing conditions. The complexity of the network was higher under sulfate-reducing conditions than nitrate-reducing conditions. Differences in the taxonomic composition between the two modules implies that different potential syntrophic interactions exist in each network. We inferred the presence of the same syntrophic microorganisms, from genera Bellilinea, Longilinea, and Litorilinea, initiating the metabolism in both networks, but within each network, we predicted unique syntrophic associations that have not been reported. Electron acceptor has a large effect on the interactome networks for anaerobic NAs-degrading consortia, offers insight into an unrecognized dimension of these consortia. These results provide a novel approach for exploring potential syntrophic relationships in biodegrading processes to help cost-effectively remove NAs in oil sands tailings ponds.

  • Date created
    2020-01-01
  • Subjects / Keywords
  • Type of Item
    Article (Published)
  • DOI
    https://doi.org/10.7939/r3-tqyz-yq85
  • License
    Attribution-NonCommercial-NoDerivatives 4.0 International
  • Language
  • Citation for previous publication
    • Lv, X., Ma, B., Lee, K., & Ulrich, A.. (2020). Potential syntrophic associations in anaerobic naphthenic acids biodegrading consortia inferred with microbial interactome networks. Journal of Hazardous Materials, 397. https://doi-org.login.ezproxy.library.ualberta.ca/10.1016/j.jhazmat.2020.122678