4.7 Article

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

Journal

ENVIRONMENTAL POLLUTION
Volume 245, Issue -, Pages 290-299

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.envpol.2018.11.002

Keywords

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

Funding

  1. National Natural Science Foundation of China [31572228, 31800419]
  2. Water Pollution Control and Treatment Special Project [2018ZX07105001, 2015ZX07201-008-09]
  3. Innovation in Cross functional Team Program of the Chinese Academy of Sciences [2015]
  4. Chinese Academy of Sciences [ZDRW-ZS-2016-5]
  5. State Key joint Laboratory of Environment Simulation and Pollution Control [RCEES, Chinese Academy of Sciences] [15K01ESPCR]

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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 clown 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. (C) 2018 Elsevier Ltd. All rights reserved.

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