Successional Dynamics of Molecular Ecological Network of Anammox Microbial Communities under Elevated Salinity. (1st January 2021)

• Record Type: Journal Article
• Authors: Ya, Tao; Du, Shuai; Li, Zhenyang; Liu, Shidi; Zhu, Minghan; Liu, Xiaojing; Jing, Zibo; Hai, Reti; Wang, Xiaohui
• Is Part Of: Water research. Volume 188(2021)
• Publication Date: 2021-01-01
• Subjects: Elevated salinity -- Anammox -- Biological nitrogen removal -- Microbial interactions -- Molecular ecological network; Water -- Pollution -- Research -- Periodicals; 363.7394
• DOI: 10.1016/j.watres.2020.116540
• Languages: English
• ISSNs: 0043-1354

Abstract

Highlights: Salinity (20 and 30 g/L NaCl) decreased the anammox performance. Salinity led to closer and more complex networks. Competition among Planctomycetes were enhanced under 30 g/L NaCl. Network hub OTU 109 had more competitive relationships under high salinity. Increasing microbial competitions led to the deterioration of nitrogen removal. Abstract: 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. Graphical abstract: Image, graphical abstract