Abstract
The hydrolytic acidification process has a strong ability to conduct denitrogenation and increase the biological oxygen demand/chemical oxygen demand ratio in O/H/O coking wastewater treatment system. More than 80% of the total nitrogen (TN) was removed in the hydrolytic bioreactor, and the hydrolytic acidification process contributed to the provision of carbon sources for the subsequent nitrification process. The structure and diversity of microbial communities were elaborated using high-throughput MiSeq of the 16S rRNA genes. The results revealed that the operational taxonomic units (OTUs) belonged to phyla Bacteroidetes, Betaproteobacteria, and Alphaproteobacteria were the dominant taxa involved in the denitrogenation and degradation of refractory contaminants in the hydrolytic bioreactor, with relative abundances of 22.94 ± 3.72, 29.77 ± 2.47, and 18.23 ± 0.26%, respectively. The results of a redundancy analysis showed that the OTUs belonged to the genera Thiobacillus, Rhodoplanes, and Hylemonella in the hydrolytic bioreactor strongly positively correlated with the chemical oxygen demand, TN, and the removal of phenolics, respectively. The results of a microbial co-occurrence network analysis showed that the OTUs belonged to the phylum Bacteroidetes and the genus Rhodoplanes had a significant impact on the efficiency of removal of contaminants that contained nitrogen in the hydrolytic bioreactor. The potential function profiling results indicate the complementarity of nitrogen metabolism, methane metabolism, and sulfur metabolism sub-pathways that were considered to play a significant role in the process of denitrification. These results provide new insights into the further optimization of the performance of the hydrolytic bioreactor in coking wastewater treatment.
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The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.
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Funding
This work was supported by the Key Program of the National Natural Science Foundation of China (No. U1901218), the National Natural Science Foundation of China (No. 51778238 and No. 51808297), the Fundamental Research Funds for the Central Universities, China (No. 2019ZD21), and the Program for Science and Technology of Guangdong Province, China (No. 2021A1515012256, 2017A030313066, 2017A020216001, and 2018A050506009).
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The authors confirm contribution to the paper as follows: CW and SZ involved in conceptualization; JX involved in data curation; JD involved in formal analysis; ZL and CW involved in investigation; JX and HW involved in methodology; GQ and SZ involved in supervision; CW and SZ involved in validation; BZ involved in visualization; BZ involved in writing—original draft.
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Zhang, B., Deng, J., Xie, J. et al. Microbial community composition and function prediction involved in the hydrolytic bioreactor of coking wastewater treatment process. Arch Microbiol 204, 426 (2022). https://doi.org/10.1007/s00203-022-03052-z
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DOI: https://doi.org/10.1007/s00203-022-03052-z