Negative Correlations Between Cultivable Pyrene-degrading Sphingomonas and Active Soil Pyrene Degraders Explain Bioaugmentation Postpone or Failure

Background: Bioaugmentation is an effective approach to remediate soils contaminated by polycyclic aromatic hydrocarbon (PAHs), but suffers from unsatisfactory performance in engineering practices. It is hypothetically explained by the complicated interactions between indigenous microbes and introduced degrading consortium. This study isolated a cultivable pyrene degrader (Sphingomonas sp. YT1005) and an active pyrene degrading consortium consisting of Gp16, Streptomyces, Pseudonocardia, Panacagrimonas, Methylotenera and Nitrospira by magnetic-nanoparticle mediated isolation (MMI) from soils.Results: Pyrene biodegradation was postponed in bioaugmentation with Sphingomonas sp. YT1005, explained by its negative correlations with the active pyrene degraders. In contrast, amendment with the active pyrene degrading consortium, pyrene degradation efficiency increased by 30.17%. In addition, pyrene degradation efficiency was positively correlated with the abundance of pyrene dioxygenase encoding genes (nidA, nidA3 and PAH-RHDα-GP), which significantly increased in MMI-isolated consortium. Pyrene degradation by Sphingomonas sp. YT1005 only followed the phthalate pathway, whereas the MMI-isolated pyrene degrading consortium exhibited both phthalate and salicylate pathways. The results indicated that Sphingomonas sp. YT1005 was not the actual pyrene degrader in soils, and MMI could successfully isolate the active pyrene degraders that were suitable for bioaugmentation.Conclusion: This work revealed the microbial intra-correlations during the bioaugmentation process, uncovered the underlying mechanisms of bioaugmentation postpone with cultivable degraders, and provided a deeper insight into the actual pyrene degraders and degradation pathways in PAHs contaminated soils. Our findings gave new explanations for bioaugmentation postpone or failure, and offered clues to enhance bioaugmentation performance by the active degraders using MMI.