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Nitrogen Metabolism Pathway in Dry Wet Alternating Constructed Wetlands

Jing Zhu, Xinyong Chen*, Jianjian Lu, Yuguo Zhou, Zhongxu Wang, Yingying Chen

This article uses metagenomic sequencing technology, using the nitrogen metabolism pathways of COG and KEGG databases as tools, and groups functional genes under different dry wet alternation conditions (DAWT4h, DAWT8h, DAWT12h) as the research object to analyse the main microbial species and functional genes that affect the nitrogen metabolism pathway in the dry wet alternation artificial wetland ecosystem. Based on the KEGG metabolic pathway hierarchy and the abundance analysis of nitrogen metabolism related functional genes, a nitrogen metabolism pathway in constructed wetlands was constructed. The gene annotation results show that the abundance of various functional genes increases with the increase of DWAT, indicating that increasing the dry wet alternation time can increase microbial diversity and functional gene abundance, which is beneficial for pollutant removal. According to metagenomic data analysis, under dry wet alternation conditions, the abundance of nosZ is close to 2%, the abundance of nirK is close to 3%, and the abundance of norB is over 4%. This indicates that the abundance of denitrification functional gene enzymes is relatively high (over 65000 hits), indicating that dry wet alternation is beneficial for nitrogen removal. The analysis of inter group differences in metabolic pathways showed significant differences (P<0.01) among the denitrification functional gene enzymes in each group. The abundance of functional gene enzymes in each group showed a "V" shape change with the change of dry wet alternation time. The dry wet alternation in artificial wetlands significantly affected the metabolic pathway of nitrogen.