ArticlePLoS computational biology2016
The Contribution of High-Order Metabolic Interactions to the Global Activity of a Four-Species Microbial Community.
Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed.
- Bacterial degradation of a plant toxin and nutrient competition with commensals trade off to constrain pathogen growth.mSystems · 2026Article
- Quartet: Disentangling positive and negative components of microbial interactions.PLoS computational biology · 2026Article
- Estimating Effective Pairwise Interactions to Predict the Structures of Microbial Communities (EPICS).Methods in molecular biology (Clifton, N.J.) · 2026Article
- Accuracy of the Lotka-Volterra model fails in strongly coupled microbial consumer-resource systems.PLoS computational biology · 2025Article
- Directing microbial co-culture composition using cybernetic control.Cell reports methods · 2025Article
- Antibiotic resistance in bacterial communities.Current opinion in microbiology · 2023Review
- Regulated bacterial interaction networks: A mathematical framework to describe competitive growth under inclusion of metabolite cross-feeding.PLoS computational biology · 2023Article
- Article
- Higher-order interactions shape microbial interactions as microbial community complexity increases.Scientific reports · 2022Article
- A Transcriptomic Analysis of Higher-Order Ecological Interactions in a Eukaryotic Model Microbial Ecosystem.mSphere · 2022Article
- Assessing the importance of interspecific interactions in the evolution of microbial communities.Ecology and evolution · 2022Article
- Ecological modelling approaches for predicting emergent properties in microbial communities.Nature ecology & evolution · 2022Review
- THOR's Hammer: the Antibiotic Koreenceine Drives Gene Expression in a Model Microbial Community.mBio · 2022Article
- Network structure of resource use and niche overlap within the endophytic microbiome.The ISME journal · 2022Article
- Using Functional Annotations to Study Pairwise Interactions in Urinary Tract Infection Communities.Genes · 2021Article
- Engineering complex communities by directed evolution.Nature ecology & evolution · 2021Article
- Directed Evolution of Microbial Communities.Annual review of biophysics · 2021Review
- Nutrient dominance governs the assembly of microbial communities in mixed nutrient environments.eLife · 2021Article
- Formation, characterization and modeling of emergent synthetic microbial communities.Computational and structural biotechnology journal · 2021Article
- The Good and the Bad: Ecological Interaction Measurements Between the Urinary Microbiota and Uropathogens.Frontiers in microbiology · 2021Article
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2 authors.
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Abstract
The activity of a biological community is the outcome of complex processes involving interactions between community members. It is often unclear how to accurately incorporate these interactions into predictive models. Previous work has shown a range of positive and negative metabolic pairwise interactions between species. Here we examine the ability of a modified general Lotka-Volterra model with cell-cell interaction coefficients to predict the overall metabolic rate of a well-mixed microbial community comprised of four heterotrophic natural isolates, experimentally quantifying the strengths of two, three, and four-species interactions. Within this community, interactions between any pair of microbial species were positive, while higher-order interactions, between 3 or more microbial species, slightly modulated community metabolism. For this simple community, the metabolic rate of can be well predicted only with taking into account pairwise interactions. Simulations using the experimentally determined interaction parameters revealed that spatial heterogeneity in the distribution of cells increased the importance of multispecies interactions in dictating function at both the local and global scales.
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