Modeling microbial cross-feeding at intermediate scale portrays community dynamics and species coexistence Journal Article


Authors: Liao, C.; Wang, T.; Maslov, S.; Xavier, J. B.
Article Title: Modeling microbial cross-feeding at intermediate scale portrays community dynamics and species coexistence
Abstract: Social interaction between microbes can be described at many levels of details: from the biochemistry of cell-cell interactions to the ecological dynamics of populations. Choosing an appropriate level to model microbial communities without losing generality remains a challenge. Here we show that modeling cross-feeding interactions at an intermediate level between genome-scale metabolic models of individual species and consumer-resource models of ecosystems is suitable to experimental data. We applied our modeling framework to three published examples of multi-strain Escherichia coli communities with increasing complexity: uni-, bi-, and multi-directional cross-feeding of either substitutable metabolic byproducts or essential nutrients. The intermediate-scale model accurately fit empirical data and quantified metabolic exchange rates that are hard to measure experimentally, even for a complex community of 14 amino acid auxotrophies. By studying the conditions of species coexistence, the ecological outcomes of cross-feeding interactions, and each community’s robustness to perturbations, we extracted new quantitative insights from these three published experimental datasets. Our analysis provides a foundation to quantify cross-feeding interactions from experimental data, and highlights the importance of metabolic exchanges in the dynamics and stability of microbial communities. Copyright: © 2020 Liao et al
Keywords: nonhuman; feeding; quantitative analysis; escherichia coli; consumer; nutrient; microbial community; auxotrophy; community dynamics; human; article; species coexistence
Journal Title: PLoS Computational Biology
Volume: 16
Issue: 8
ISSN: 1553-7358
Publisher: Public Library of Science  
Date Published: 2020-08-18
Start Page: e1008135
Language: English
DOI: 10.1371/journal.pcbi.1008135
PUBMED: 32810127
PROVIDER: scopus
PMCID: PMC7480867
DOI/URL:
Notes: Article -- Source: Scopus
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MSK Authors
  1. Joao Debivar Xavier
    97 Xavier
  2. Chen Liao
    19 Liao
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