ArticlePLoS computational biology2022
Global dynamics of microbial communities emerge from local interaction rules.
Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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20 citing papers in PubMed.
- Spatial constraints determine the spread of plasmid-encoded antibiotic resistance between bacterial colonies.mSystems · 2026Article
- Vertical Stratification in Composition, Metabolic Potential and Co-Occurrence Networks of Archaeal Communities in Mangrove Sediments, Zhanjiang, China.Ecology and evolution · 2026Article
- Emergent spatial structure in the gut microbiota is driven by bacterial growth and gut contractions.PLoS biology · 2026Article
- Limits to the evolution of metabolic dependency in spatially structured microbial communities.iScience · 2026Article
- Article
- Influence of cell-cell distance on the ecology and evolution of microbial communities.The ISME journal · 2026Review
- Spatial structure: shaping the ecology and evolution of microbial communities.FEMS microbiology reviews · 2026Review
- Disentangling the feedback loops driving spatial patterning in microbial communities.NPJ biofilms and microbiomes · 2025Review
- Pharmacodynamics of interspecies interactions in polymicrobial infections.NPJ biofilms and microbiomes · 2025Article
- Uptake and leakage rates differentially shape community arrangement and composition of microbial consortia.The ISME journal · 2025Article
- Individual-based modeling unravels spatial and social interactions in bacterial communities.The ISME journal · 2025Review
- Influences of fluctuating nutrient loadings on nitrate-reducing microorganisms in rivers.ISME communications · 2025Article
- Deciphering microbial spatial organization: insights from synthetic and engineered communities.ISME communications · 2025Review
- Perspectives on computational modeling of biological systems and the significance of the SysMod community.Bioinformatics advances · 2024Article
- Amino acid auxotrophies in human gut bacteria are linked to higher microbiome diversity and long-term stability.The ISME journal · 2023Article
- Spatial biology of Ising-like synthetic genetic networks.BMC biology · 2023Article
- Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers.Advances in neural information processing systems · 2022Article
- Suppressors of fixation can increase average fitness beyond amplifiers of selection.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Dynamic cybergenetic control of bacterial co-culture composition via optogenetic feedback.Nature communications · 2022Article
- Social evolution of shared biofilm matrix components.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Most microbes live in spatially structured communities (e.g., biofilms) in which they interact with their neighbors through the local exchange of diffusible molecules. To understand the functioning of these communities, it is essential to uncover how these local interactions shape community-level properties, such as the community composition, spatial arrangement, and growth rate. Here, we present a mathematical framework to derive community-level properties from the molecular mechanisms underlying the cell-cell interactions for systems consisting of two cell types. Our framework consists of two parts: a biophysical model to derive the local interaction rules (i.e. interaction range and strength) from the molecular parameters underlying the cell-cell interactions and a graph based model to derive the equilibrium properties of the community (i.e. composition, spatial arrangement, and growth rate) from these local interaction rules. Our framework shows that key molecular parameters underlying the cell-cell interactions (e.g., the uptake and leakage rates of molecules) determine community-level properties. We apply our model to mutualistic cross-feeding communities and show that spatial structure can be detrimental for these communities. Moreover, our model can qualitatively recapitulate the properties of an experimental microbial community. Our framework can be extended to a variety of systems of two interacting cell types, within and beyond the microbial world, and contributes to our understanding of how community-level properties emerge from microscopic interactions between cells.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.