4.7 Article

Impact of different sulfur sources on the structure and function of sulfur autotrophic denitrification bacteria

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SCIENTIFIC REPORTS
卷 13, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s41598-023-46829-y

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This study investigates the structure and function of sulfur autotrophic denitrification microbial communities using sodium thiosulfate and elemental sulfur as electron donors. The results show that the nitrate removal rate and bacterial community structure are better in the sodium thiosulfate group compared to the elemental sulfur group. This research provides an experimental basis for improving the start-up time and operating cost of sulfur autotrophic denitrification systems and offers new prospects for further mechanistic analysis.
Nitrate pollution in surface water has become a significant environmental concern. Sulfur autotrophic denitrification (SAD) technology is gaining attention for its cost-effectiveness and efficiency in nitrate removal. This study aimed to investigate the structure and function of sulfur autotrophic denitrification microbial communities in systems using sodium thiosulfate (Group A) and elemental sulfur (Group B) as the sole electron donors. Metagenomic amplicon sequencing and physicochemical analysis were performed to examine the microbial communities. The results revealed that on day 13, the nitrate nitrogen removal rate in Group A was significantly higher (89.2%) compared to Group B (74.4%). The dominant genus in both Groups was Thiobacillus, with average abundances of 34.15% and 16.34% in Groups A and B, respectively. beta-diversity analysis based on species level showed significant differences in bacterial community structure between the two Groups (P < 0.001). Group A exhibited a greater potential for nitrate reduction and utilized both thiosulfate and elemental sulfur (P < 0.01) compared to Group B. This study provides a sufficient experimental basis for improving the start-up time and operating cost of SAD system through sulfur source switching and offers new prospects for in-depth mechanistic analysis.

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