Literature DB >> 30445416

Adaptive shifts of bacterioplankton communities in response to nitrogen enrichment in a highly polluted river.

Yuzhan Yang1, Yangchun Gao2, Xuena Huang2, Ping Ni2, Yueni Wu2, Ye Deng2, Aibin Zhan3.   

Abstract

Anthropogenic activity-mediated nutrient pollution, especially nitrogen enrichment, poses one of the major threats to river ecosystems. However, it remains unclear how and to which extent it affects aquatic microbial communities, especially in heavily polluted rivers. In this study, a significant environmental gradient, particularly nitrogen gradient, was observed along a wastewater receiving river, the North Canal River (NCR). The pollution level was highest, moderate, and lowest in the up-, middle, and down-streams, respectively. The community composition of bacterioplankton transitioned from being Betaproteobacteria-dominated upstream to Gammaproteobacteria-dominated downstream. Copiotrophic groups, such as Polynucleobacter (Betaproteobacteria) and Hydrogenophaga (Betaproteobacteria), were dominant in the upstream. Multiple statistical analyses indicated that total nitrogen (TN) was the most important factor driving the adaptive shifts of community structure. Analyses of co-occurrence networks showed that the complexity of networks was disrupted in the up- and middle streams, while enhanced in the downstream. Our findings here suggested that microbial interactions were reduced in response to the aggravation of nutrient pollution. Similar to these changes, we observed significant dissimilarity of composition of functional groups, with highest abundance of nitrogen metabolism members under the highest level of nitrogen enrichment. Further analyses indicated that most of these functional groups belonged to Betaproteobacteria, suggesting the potential coupling of community composition and function diversity. In summary, adaptive shifts of bacterioplankton community composition, as well as species interactions, occurred in response to nutrient pollution in highly polluted water bodies.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adaptive shift; Heavy nitrogen pollution; Microbial community; Microbial interactions; Molecular ecological network

Mesh:

Substances:

Year:  2018        PMID: 30445416     DOI: 10.1016/j.envpol.2018.11.002

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  2 in total

1.  Potential pathogen communities in highly polluted river ecosystems: Geographical distribution and environmental influence.

Authors:  Yuzhan Yang; Yang Hou; Min Ma; Aibin Zhan
Journal:  Ambio       Date:  2019-04-24       Impact factor: 5.129

2.  Unraveling the diversity of sedimentary sulfate-reducing prokaryotes (SRP) across Tibetan saline lakes using epicPCR.

Authors:  Huayu Qin; Shang Wang; Kai Feng; Zhili He; Marko P J Virta; Weiguo Hou; Hailiang Dong; Ye Deng
Journal:  Microbiome       Date:  2019-05-04       Impact factor: 14.650

  2 in total

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