The role of the core microorganisms in the microbial interactions in activated sludge.

Activated sludge Core microorganisms Ecological network Keystone Robustness

Journal

Environmental research
ISSN: 1096-0953
Titre abrégé: Environ Res
Pays: Netherlands
ID NLM: 0147621

Informations de publication

Date de publication:
15 10 2023
Historique:
received: 08 05 2023
revised: 08 07 2023
accepted: 11 07 2023
medline: 18 9 2023
pubmed: 15 7 2023
entrez: 14 7 2023
Statut: ppublish

Résumé

In order to gain a deeper understanding of the microbial interactions in wastewater treatment plants (WWTPs) in China and clarify the role of the core community in the microbial interactions in activated sludge (AS), this study used a molecular ecological network approach based on random matrix theory to construct co-occurrence networks of the core microorganisms (CoreN), the whole AS community (WholeN) and the microbial communities without the core microorganisms (OtherN), respectively. It was shown that the WholeN had more complex and tighter connections compared with the OtherN, because of its higher total number of nodes, higher average clustering coefficient, and shorter average geodesic distance. The proportions of positive links in the CoreN, WholeN and OtherN were gradually decreased, indicating that the core microorganisms promoted cooperation between AS microorganisms. Moreover, higher robustness after random removal of 50% of the nodes of the WholeN (0.2836 ± 0.0311) was observed than the robustness of the OtherN (0.1152 ± 0.0263). In addition, the vulnerability of OtherN (0.0514) is significantly higher than WholeN (0.0225). Meanwhile, the average ratio of negative/positive cohesion, was significantly decreased when the core microorganisms were removed. These results demonstrated that core community could strengthen the stability of the ecological network in AS. By discerning the key factors affecting ecological network, AS temperature was observed to have a strong correlation with all three networks. Moreover, pollutants in wastewater shown stronger correlations with the CoreN and WholeN, supporting the point that core community play a critical role in pollutant removal in WWTPs to a certain extent.

Identifiants

pubmed: 37451573
pii: S0013-9351(23)01464-0
doi: 10.1016/j.envres.2023.116660
pii:
doi:

Substances chimiques

Sewage 0
Wastewater 0
Environmental Pollutants 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

116660

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Huimin Lin (H)

College of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China.

Yichen Zheng (Y)

College of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China.

Yuankai Yang (Y)

College of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China.

Fengyi Liu (F)

College of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China.

Kuo Yang (K)

College of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China.

Bing Zhang (B)

College of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China; Research Center of Food Environment and Public Health Engineering, Minzu University of China, Beijing, 100081, China. Electronic address: zhangbing@muc.edu.cn.

Xianghua Wen (X)

Environmental Simulation and Pollution Control State Key Joint Laboratory, School of Environment, Tsinghua University, Beijing, 100084, China. Electronic address: xhwen@tsinghua.edu.cn.

Articles similaires

Populus Soil Microbiology Soil Microbiota Fungi
Coal Metagenome Phylogeny Bacteria Genome, Bacterial
Lakes Salinity Archaea Bacteria Microbiota
Rhizosphere Glycine max Seeds Soybean Oil Soil Microbiology

Classifications MeSH