Analysis of microbial diversity and functions in sediments and overlying water of the Shiliu River

This study reveals the microbial community structures in the sediments and overlying water of the polluted Shiliu River, finding diverse patterns with higher richness in sediments, Proteobacteria and Ascomycota as dominants. Shared taxa have different abundances, indicating niche differentiation. Sediments have enriched nitrogen/carbon cycling pathways for pollutant degradation. These results offer a microbiological basis for urban river restoration, identify bioremediation-target taxa, and stress the integration of microbial ecology into pollution management.

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Publication Details

Journal
PeerJ
Published
2025-08-29
DOI
https://doi.org/10.7717/peerj.19979
Primary Topic
Microbial Community Ecology and Physiology
Type
article
Field-Weighted Citation Impact
0.00
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article

Analysis of microbial diversity and functions in sediments and overlying water of the Shiliu River

Yazi Li, Qiaoping Sun, Shuhong Zhang, Yumei Guo et al.
PeerJ
Microbial Community Ecology and Physiology
article

Analysis of microbial diversity and functions in sediments and overlying water of the Shiliu River

Yazi Li, Qiaoping Sun, Shuhong Zhang, Yumei Guo, Yanfang Zhang, Xiqing Zhang, Yongshan Fan, Ke Xu, Mengfen Pan
article en

Abstract

This study reveals the microbial community structures in the sediments and overlying water of the polluted Shiliu River, finding diverse patterns with higher richness in sediments, Proteobacteria and Ascomycota as dominants. Shared taxa have different abundances, indicating niche differentiation. Sediments have enriched nitrogen/carbon cycling pathways for pollutant degradation. These results offer a microbiological basis for urban river restoration, identify bioremediation-target taxa, and stress the integration of microbial ecology into pollution management.

PeerJVol. 13
Hebei Agricultural University (CN), Tangshan Normal University (CN), Hebei Provincial Center for Disease Control and Prevention (CN), Hebei Science and Technology Department (CN)
Openalex Percentile: Top 77%
Microbial Community Ecology and Physiology
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