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Toward an intensive understanding of sewer sediment prokaryotic community assembly and function

Frontiers in Microbiology 2023 3 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Jingjing Xia, Jingjing Xia, David Z. Zhu, Kai Yu, Zhiyuan Yao, David Z. Zhu, Huafeng Sheng, Zhiyuan Yao, Huafeng Sheng, Zhiyuan Yao, David Z. Zhu, Lijuan Mao, David Z. Zhu, Dingnan Lu, Huihui Gan, Huihui Gan, Zhiyuan Yao, Shulin Zhang Zhiyuan Yao, David Z. Zhu, Shulin Zhang

Summary

Researchers characterized prokaryotic communities in sewer sediments across multifunctional, commercial, and residential urban areas using 16S rRNA amplicon sequencing, finding significant compositional differences linked to land use and nutrient levels. Network analysis revealed the residential area harbored the most complex and stable microbial network, while stochastic processes dominated community assembly across all zones.

Study Type Environmental

Prokaryotic communities play important roles in sewer sediment ecosystems, but the community composition, functional potential, and assembly mechanisms of sewer sediment prokaryotic communities are still poorly understood. Here, we studied the sediment prokaryotic communities in different urban functional areas (multifunctional, commercial, and residential areas) through 16S rRNA gene amplicon sequencing. Our results suggested that the compositions of prokaryotic communities varied significantly among functional areas. <i>Desulfomicrobium</i>, <i>Desulfovibrio</i>, and <i>Desulfobacter</i> involved in the sulfur cycle and some hydrolytic fermentation bacteria were enriched in multifunctional area, while <i>Methanospirillum</i> and <i>Methanoregulaceae</i>, which were related to methane metabolism were significantly discriminant taxa in the commercial area. Physicochemical properties were closely related to overall community changes (<i>p</i> < 0.001), especially the nutrient levels of sediments (i.e., total nitrogen and total phosphorus) and sediment pH. Network analysis revealed that the prokaryotic community network of the residential area sediment was more complex than the other functional areas, suggesting higher stability of the prokaryotic community in the residential area. Stochastic processes dominated the construction of the prokaryotic community. These results expand our understanding of the characteristics of prokaryotic communities in sewer sediment, providing a new perspective for studying sewer sediment prokaryotic community structure.

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