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Deciphering microbial interactions in synthetic human gut microbiome communities

Journal Article · · Molecular Systems Biology
 [1];  [2];  [2];  [3];  [2];  [2];  [4];  [2];  [5]
  1. Department of Biochemistry University of Wisconsin‐Madison Madison WI USA; DOE/OSTI
  2. Environmental Genomics and Systems Biology Lawrence Berkeley National Laboratory Berkeley CA USA
  3. California Institute for Quantitative Biosciences University of California Berkeley Berkeley CA USA
  4. Department of Biochemistry University of Wisconsin‐Madison Madison WI USA
  5. Environmental Genomics and Systems Biology Lawrence Berkeley National Laboratory Berkeley CA USA; California Institute for Quantitative Biosciences University of California Berkeley Berkeley CA USA; Department of Bioengineering University of California Berkeley Berkeley CA USA; Energy Biosciences Institute University of California Berkeley Berkeley CA USA
The ecological forces that govern the assembly and stability of the human gut microbiota remain unresolved. We developed a generalizable model-guided framework to predict higher-dimensional consortia from time-resolved measurements of lower-order assemblages. This method was employed to decipher microbial interactions in a diverse human gut microbiome synthetic community. We show that pairwise interactions are major drivers of multi-species community dynamics, as opposed to higher-order interactions. The inferred ecological network exhibits a high proportion of negative and frequent positive interactions. Ecological drivers and responsive recipient species were discovered in the network. Our model demonstrated that a prevalent positive and negative interaction topology enables robust coexistence by implementing a negative feedback loop that balances disparities in monospecies fitness levels. We show that negative interactions could generate history-dependent responses of initial species proportions that frequently do not originate from bistability. Measurements of extracellular metabolites illuminated the metabolic capabilities of monospecies and potential molecular basis of microbial interactions. In sum, these methods defined the ecological roles of major human-associated intestinal species and illuminated design principles of microbial communities.
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1627937
Journal Information:
Molecular Systems Biology, Journal Name: Molecular Systems Biology Journal Issue: 6 Vol. 14; ISSN 1744-4292
Publisher:
WileyCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (32)

Rhizobacteria Mediate the Phytotoxicity of a Range of Biorefinery‐Relevant Compounds journal July 2019
The Human Gut Microbiome is Structured to Optimize Molecular Interaction Networks journal January 2019
Synthetic microbiota reveal priority effects and keystone strains in the Arabidopsis phyllosphere journal September 2019
A multidimensional perspective on microbial interactions journal June 2019
Interrogation of Internal Workings in Microbial Community Assembly: Play a Game through a Behavioral Network? journal October 2019
Difficulty in inferring microbial community structure based on co-occurrence network approaches journal June 2019
Enhanced inference of ecological networks by parameterizing ensembles of population dynamics models constrained with prior knowledge journal January 2020
High-order interactions distort the functional landscape of microbial consortia journal December 2019
Available energy fluxes drive a transition in the diversity, stability, and functional structure of microbial communities journal February 2019
Web-gLV: A Web Based Platform for Lotka-Volterra Based Modeling and Simulation of Microbial Populations journal February 2019
Efficient engineered probiotics using synthetic biology approaches: A review journal January 2020
Characterize carbapenem-resistant Klebsiella pneumoniae isolates for nosocomial pneumonia and their Gram-negative bacteria neighbors in the respiratory tract journal January 2019
Multiple stable states in microbial communities explained by the stable marriage problem journal July 2018
Modelling microbiome recovery after antibiotics using a stability landscape framework journal March 2019
Use and abuse of correlation analyses in microbial ecology journal June 2019
Mortality causes universal changes in microbial community composition journal May 2019
Microbial coexistence through chemical-mediated interactions journal May 2019
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Massively parallel screening of synthetic microbial communities journal June 2019
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Can dynamic network modelling be used to identify adaptive microbiomes? journal December 2019
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