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Performance of the biological aerated filter bioaugmented by a yeast Magnusiomyces ingens LH-F1 for treatment of Acid Red B and microbial community dynamics

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Abstract

Biological aerated filters (BAFs) were constructed and operated for assessing the effectiveness of bacterial community bioaugmented by a yeast Magnusiomyces ingens LH-F1 for treatment of azo dye Acid Red B (ARB). Dynamics of both bacterial and fungal communities were analyzed through MiSeq sequencing method. The results showed that the bioaugmented BAF displayed obviously better performance for decolorization, COD removal and detoxification of ARB wastewater than the other two which were inoculated with activated sludge (AS) and single M. ingens LH-F1, respectively. Moreover, the bioaugmented BAF also exhibited higher tolerance and stability to shock loading. MiSeq sequencing results demonstrated that both of bacterial and fungal communities remarkably shifted with operation conditions, and the increasing fungal diversity in the bioaugmented BAF was probably related to the relatively high biodegradation and detoxification efficiency. Furthermore, M. ingens LH-F1 survived in the bioaugmented BAF and became one of the dominant fungal species. Therefore, bioaugmentation with yeast M. ingens LH-F1 was successful for improving traditional biological processes aiming at treatment of azo compounds. This method was also potentially useful and meaningful for treating other recalcitrant organic pollutants in practical applications.

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Acknowledgements

This work was financially supported by the National Natural Science Foundation of China (Nos. 51108223 and 51508259).

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  1. School of Life Science, Liaoning Normal University, Dalian, 116081, China

    Muyang He, Liang Tan, Shuxiang Ning, Li Song & Shengnan Shi

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  1. Muyang He
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  2. Liang Tan
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  3. Shuxiang Ning
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Correspondence to Liang Tan.

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He, M., Tan, L., Ning, S. et al. Performance of the biological aerated filter bioaugmented by a yeast Magnusiomyces ingens LH-F1 for treatment of Acid Red B and microbial community dynamics. World J Microbiol Biotechnol 33, 39 (2017). https://doi.org/10.1007/s11274-017-2210-0

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