Impacts of Human Activities on the Composition and Abundance of Sulfate-Reducing and Sulfur-Oxidizing Microorganisms in Polluted River Sediments

Water system degradation has a severe impact on daily life, especially in developing countries. However, microbial changes associated with this degradation, especially changes in microbes related to sulfur (S) cycling, are poorly understood. In this study, the abundance, structure, and diversity of...

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Veröffentlicht in:Frontiers in microbiology 2019-02, Vol.10, p.231-231
Hauptverfasser: Wang, Rui, Xu, Shengjun, Jiang, Cancan, Zhang, Yang, Bai, Na, Zhuang, Guoqiang, Bai, Zhihui, Zhuang, Xuliang
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Sprache:eng
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Zusammenfassung:Water system degradation has a severe impact on daily life, especially in developing countries. However, microbial changes associated with this degradation, especially changes in microbes related to sulfur (S) cycling, are poorly understood. In this study, the abundance, structure, and diversity of sulfate-reducing microorganisms (SRM) and sulfur-oxidizing microorganisms (SOM) in the sediments from the Ziya River Basin, which is polluted by various human interventions (urban and agricultural activities), were investigated. Quantitative real-time PCR showed that the S cycling-related (SCR) genes ( and ) were significantly elevated, reaching 2.60 × 10 and 1.81 × 10 copies per gram of dry sediment, respectively, in the region polluted by human urban activities (RU), and the ratio of to abundance was significantly elevated in the region polluted by human agricultural activities (RA) compared with those in the protected wildlife reserve (RP), indicating that the mechanisms underlying water system degradation differ between RU and RA. Based on a 16S rRNA gene analysis, human interventions had substantial effects on microbial communities, particularly for microbes involved in S cycling. Some SCR genera (i.e., and ) were enriched in the sediments from both RA and RU, while others (i.e., and ) were only enriched in the sediments from RA. A redundancy analysis indicated that NH -N and total organic carbon significantly influenced the abundance of SRM and SOM, and sulfate significantly influenced only the abundance of SRM. A network analysis showed high correlation between SCR microorganisms and other microbial groups for both RU and RA, including those involved in carbon and metal cycling. These findings indicated the different effects of different human interventions on the microbial community composition and water quality degradation.
ISSN:1664-302X
1664-302X
DOI:10.3389/fmicb.2019.00231