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Metabolic interactions affect the biomass of synthetic bacterial biofilm communities

Authors :
Xinli Sun
Jiyu Xie
Daoyue Zheng
Riyan Xia
Wei Wang
Weibing Xun
Qiwei Huang
Ruifu Zhang
Ákos T. Kovács
Zhihui Xu
Qirong Shen
Source :
mSystems, Vol 8, Iss 6 (2023)
Publication Year :
2023
Publisher :
American Society for Microbiology, 2023.

Abstract

ABSTRACT Microbes typically reside in communities containing multiple species, whose interactions have considerable impacts on the robustness and functionality of such communities. To manage microbial communities, it is essential to understand the factors driving their assemblage and maintenance. Even though the community composition could be easily assessed, interspecies interactions during community establishment remain poorly understood. Here, we combined co-occurrence network analysis with quantitative PCR to examine the importance of each species within synthetic communities (SynComs) of pellicle biofilms. Genome-scale metabolic models and in vitro experiments indicated that the biomass of SynComs was primarily affected by keystone species that are acting either as metabolic facilitators or as competitors. Our study sets an example of how to construct a SynCom and investigate interspecies interactions.IMPORTANCECo-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.

Details

Language :
English
ISSN :
23795077
Volume :
8
Issue :
6
Database :
Directory of Open Access Journals
Journal :
mSystems
Publication Type :
Academic Journal
Accession number :
edsdoj.9e42fec3e3a4f1a8ab7f2d248c0dedc
Document Type :
article
Full Text :
https://doi.org/10.1128/msystems.01045-23