Spatial Distribution Characteristics and Driving Factors of Aerobic Denitrification Bacterial Community Structure from Baiyangdian Lake in Xiong'an New Area During the Winter Freezing Period

Abstract

To isolate the aerobic denitrification bacteria suitable for water quality in the low-temperature period of Baiyangdian Lake, a water quality investigation and bioinformatics analysis of the aerobic denitrification bacterial community were carried out using a MiSeq high-throughput sequencing technique based on napA. Moreover, α-diversity, β-diversity, and network analyses were also carried out. The results showed significant differences in the water quality of different sampling sites in Baiyangdian Lake, and the estuary area exhibited the highest nitrogen concentration. α-diversity exhibited significant differences (P<0.05), and the abundance and diversity of ZZD and BH were the lowest. The operational taxonomic units of the water body mainly belonged to Proteobacteria (α-Proteobacteria, β-Proteobacteria, and γ-Proteobacteria). Meanwhile, Venn diagram analysis indicated the community of aerobic denitrification bacteria exhibited significant differences, and variance inflation factor and redundancy analysis showed that temperature, dissolved oxygen, ammonia, nitrate, dissolved total phosphorus, and redox potential were the main environmental factors. Network analysis showed that symbiotic relationships accounted for a major proportion of the microbial network. Mantel test analysis shows that temperature, redox potential, nitrate, ammonia, dissolved total phosphorus, and iron and manganese are the key factors affecting the evolution of modular community structure. From all the results, the MiSeq high-throughput sequencing technique based on the napA gene was an effective tool to explore the changes of aerobic denitrification bacterial community structure, which could supply a reference to isolate the "directional-accurate-efficient" aerobic denitrification bacterial agent in the future.