Metabolic interactions affect the biomass of synthetic bacterial biofilm communities

Co-occurrence network analysis is an effective tool for predicting complex networks of microbial interactions in the natural environment. Using isolates from a rhizosphere, we constructed multi-species biofilm communities and investigated co-occurrence patterns between microbial species in genome-sc...

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Bibliographic Details
Published in:mSystems 2023-12, Vol.8 (6), p.e0104523-e0104523
Main Authors: Sun, Xinli, Xie, Jiyu, Zheng, Daoyue, Xia, Riyan, Wang, Wei, Xun, Weibing, Huang, Qiwei, Zhang, Ruifu, Kovács, Ákos T, Xu, Zhihui, Shen, Qirong
Format: Article
Language:English
Subjects:
Bacteria - genetics
Biofilms
Biomass
Community composition
Environment
Environmental Microbiology
Genomes
Keystone species
metabolic modeling
Metabolism
Microbial Interactions
network analysis
Pellicle
Research Article
Rhizosphere
soil microbiology
SynComs
Variance analysis
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Summary:Co-occurrence network analysis is an effective tool for predicting complex networks of microbial interactions in the natural environment. Using isolates from a rhizosphere, we constructed multi-species biofilm communities and investigated co-occurrence patterns between microbial species in genome-scale metabolic models and in vitro experiments. According to our results, metabolic exchanges and resource competition may partially explain the co-occurrence network analysis results found in synthetic bacterial biofilm communities.
ISSN:2379-5077
2379-5077
DOI:10.1128/msystems.01045-23