4.8 Article

Successional Dynamics of Molecular Ecological Network of Anammox Microbial Communities under Elevated Salinity

期刊

WATER RESEARCH
卷 188, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.watres.2020.116540

关键词

Elevated salinity; Anammox; Biological nitrogen removal; Microbial interactions; Molecular ecological network

资金

  1. National Key Research and Development Program of China [2018YFC1801501]
  2. Beijing Municipal Science and Technology Project [Z18110 0002418017]

向作者/读者索取更多资源

The study found that high salinity inhibits the performance of anammox, but under low salinity conditions, microbial networks become closer and more complex, serving as a survival strategy. Microbial taxa such as Planctomycetes and Candidatus Kuenenia show increased competitive relationships under 30 g/L NaCl, which may contribute to the deterioration of nitrogen removal. However, the microbial community network tends to gradually adapt to elevated salinity, indicating a potential for resilience.
Response of microbial interactions to environmental perturbations has been a central issue in wastewater treatment system. However, the interactions among anammox microbial community under salt perturbation is still unclear. Here, we used random matrix theory (RMT)-based network analysis to investigate the dynamics of networks under elevated salinity in an anammox system. Results showed that high salinity (20 and 30 g/L NaCl) inhibited anammox performance. Salinity led to closer and more complex networks for the overall network and subnetwork of Planctomycetes and Proteobacteria, especially under low salinity (5 g/L NaCl), which could serve as a strategy to survive under salt perturbation. Planctomycetes, most dominant phylum and playing crucial roles in anammox, possessed higher proportion of competitive relationships (64.3%) under 30 g/L NaCl. OTU 109 (closely related to Ignavibacterium), the only network hub detected in the anammox system, also had larger amount of competitive relationships (27.3%) than the control (0%) under 30 g/L NaCl. Similar result was found for the most abundant keystone bacteria Candidatus Kuenenia. These increasing competitions at different taxa level could be responsible for the deterioration of nitrogen removal. Besides, all the network topological features tended to reach the values of the original network, which showed the network of microbial community could gradually adapt to the elevated salinity. Microbial network analysis adds a different dimension for our understanding of the response in microbial community to elevated salinity. (C) 2020 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据