4.7 Article

Metabolic interactions affect the biomass of synthetic bacterial biofilm communities

Journal

MSYSTEMS
Volume -, Issue -, Pages -

Publisher

AMER SOC MICROBIOLOGY
DOI: 10.1128/msystems.01045-23

Keywords

soil microbiology; SynComs; biofilms; network analysis; metabolic modeling

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Microbial interactions play a crucial role in the stability and functionality of microbial communities. This study used co-occurrence network analysis and quantitative PCR to investigate the importance of each species in synthetic biofilm communities. The results showed that metabolic exchanges and resource competition are significant factors in species interactions.
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. 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.

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