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Yanqing Lian
Institute of Earth Environment Chinese Academy of Sciences
Corresponding Author
ORCiD: https://orcid.org/0000-0002-4093-4030
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Water samples for the 16S rRNA gene and water quality analyses were collected from around 155 kilometers of river segments surrounding the urban areas in Xi’an of China. Multiple statistical analyses showed the temporal dynamics of microbial communities and heterogeneity in their spatial distributions. The dynamic shifts of microbial communities in the Chan, Ba, and Feng Rivers from the Spring to the Summer seasons were apparent, but little in the Zao River. The heterogeneity of microbial distributions was more due to the influence of hydrologic conditions and various sources of inflows in the rivers. The LEfSe analysis showed the Chan and Zao Rivers, both were more impacted by the sewage effluents, were more differentially abundant with bacteria related to polluted water, but the Ba and Feng Rivers, both on the outer side of the city, were more abundant with microbial communities in soil and freshwater environments in August. Multiple statistical analyses indicated that environmental variables had a significant impact on microbial communities. The GIS-based spatial analysis not only showed heterogeneity of microbial community distributions along the rivers, more importantly, could help identify locations where pathogenic bacteria presented.
Keywords
Urban water environment, 16S rRNA gene sequencing, Dynamics of microbial community, heterogeneity of microbial community, LEfSe analysis
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A new preprint design is coming!
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This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research
Yanqing Lian
Institute of Earth Environment Chinese Academy of Sciences
Corresponding Author
ORCiD: https://orcid.org/0000-0002-4093-4030
Badges
Prescreen
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Complete author information
Appropriate declaration statements
Potential risks to human health
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History
CURRENT STATUS: Posted
Version 1
Posted 23 Sep, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
General Microbiology
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Water samples for the 16S rRNA gene and water quality analyses were collected from around 155 kilometers of river segments surrounding the urban areas in Xi’an of China. Multiple statistical analyses showed the temporal dynamics of microbial communities and heterogeneity in their spatial distributions. The dynamic shifts of microbial communities in the Chan, Ba, and Feng Rivers from the Spring to the Summer seasons were apparent, but little in the Zao River. The heterogeneity of microbial distributions was more due to the influence of hydrologic conditions and various sources of inflows in the rivers. The LEfSe analysis showed the Chan and Zao Rivers, both were more impacted by the sewage effluents, were more differentially abundant with bacteria related to polluted water, but the Ba and Feng Rivers, both on the outer side of the city, were more abundant with microbial communities in soil and freshwater environments in August. Multiple statistical analyses indicated that environmental variables had a significant impact on microbial communities. The GIS-based spatial analysis not only showed heterogeneity of microbial community distributions along the rivers, more importantly, could help identify locations where pathogenic bacteria presented.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
This is a list of supplementary files associated with this preprint. Click to download.
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