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Estimating Sediment Denitrification Rates Using Cores and N2O Microsensors
Published on: December 6, 2018
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Insight into the microbial community of denitrification process using different solid carbon sources: Not only
Congyu Li1, Yu Ling2, Yanjie Zhang3
1State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.
Journal of Environmental Sciences (China)
|May 27, 2024
Summary
Corncob-based materials enhance solid-phase denitrification (SPD) efficiency more than synthetic polymers. The amplicon sequence variant (ASV) method offers a more comprehensive analysis of microbial communities in SPD systems.
Area of Science:
- Environmental Microbiology
- Water Treatment Technologies
- Biotechnology
Background:
- Solid-phase denitrification (SPD) systems are crucial for removing nitrate from wastewater.
- The microbial communities driving SPD processes, including bacteria, fungi, and archaea, are not fully understood.
- Different carbon sources can significantly influence the efficiency and microbial composition of SPD systems.
Purpose of the Study:
- To investigate the impact of various carbon sources on the microbial community composition and denitrification efficiency in SPD systems.
- To compare the effectiveness of operational taxonomic unit (OTU) and amplicon sequence variant (ASV) methods for analyzing SPD microbial communities.
- To explore potential collaborations between microbial taxa and their functional roles in SPD.
Main Methods:
- Four SPD systems utilizing different carbon sources (corncob-polyvinyl alcohol sodium alginate-polycaprolactone, corncob, polycaprolactone, polyvinyl alcohol-sodium alginate) were established.
- Microbial gene sequences were analyzed using both OTU and ASV approaches.
- Denitrification efficiency was quantified by measuring nitrate-nitrogen removal rates.
- Bioinformatic analyses included microbial community composition, diversity, co-occurrence network analysis, and KEGG functional prediction.
Main Results:
- Corncob and CPSP demonstrated significantly higher denitrification efficiencies (0.85-0.86 mg NO3--N/(g·day)) compared to PCL and PVA-SA (0.24-0.29 mg NO3--N/(g·day)).
- Distinct microbial compositions were observed across different carbon sources, with notable differences in dominant phyla like Proteobacteria and Rozellomycota.
- The ASV method identified a greater number of microbial units and higher alpha diversity than the OTU method, revealing previously unclassified taxa.
- Co-occurrence networks suggested synergistic interactions among bacterial, fungal, and archaeal species.
Conclusions:
- Corncob-derived materials are superior carbon sources for enhancing denitrification efficiency in SPD systems.
- The ASV sequencing approach provides a more detailed and accurate characterization of SPD microbial communities than OTU analysis.
- Fungal and archaeal contributions to the functional capacity of SPD systems should be considered in future research and application.

