Metabolic interaction models recapitulate leaf microbiota ecology
ETH Zurich · École Polytechnique Fédérale de Lausanne
Abstract
Resource allocation affects the structure of microbiomes, including those associated with living hosts. Understanding the degree to which this dependency determines interspecies interactions may advance efforts to control host-microbiome relationships. We combined synthetic community experiments with computational models to predict interaction outcomes between plant-associated bacteria. We mapped the metabolic capabilities of 224 leaf isolates from Arabidopsis thaliana by assessing the growth of each strain on 45 environmentally relevant carbon sources in vitro. We used these data to build curated genome-scale metabolic models for all strains, which we combined to simulate >17,500 interactions. The models…
Citation impact
- FWCI
- 25.82
- Percentile
- 100%
- References
- 96
Authors
8Topics & keywords
- Microbiome
- Biology
- Arabidopsis thaliana
- Niche
- Computational biology
- Genome
- Host (biology)
- Microbial ecology