ArticleBMC systems biology2015
Bacterial social interactions drive the emergence of differential spatial colony structures.
Article in BMC systems biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
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Who cites it
45 citing papers in PubMed.
- An agent-based model of Trypanosoma brucei social motility to explore determinants of colony pattern formation.PLoS computational biology · 2026Article
- Quartet: Disentangling positive and negative components of microbial interactions.PLoS computational biology · 2026Article
- Community context reshapes microbial proteomes and reduces functional overlap.Nature microbiology · 2026Article
- Spatial structure: shaping the ecology and evolution of microbial communities.FEMS microbiology reviews · 2026Review
- Dissecting the physics of bacterial biofilms with agent-based simulations.Current opinion in solid state & materials science · 2025Article
- Article
- Growth of nonmotile stress-responsive bacteria in 3D colonies under confining pressure.Biophysical journal · 2025Article
- Individual-based modeling unravels spatial and social interactions in bacterial communities.The ISME journal · 2025Review
- Physicochemical properties and bioturbation analysis of high-temperature Daqu by functional microflora.Frontiers in microbiology · 2025Article
- Bacterial community dynamics as a result of growth-yield trade-off and multispecies metabolic interactions toward understanding the gut biofilm niche.BMC microbiology · 2024Article
- Metabolic interactions shape emergent biofilm structures in a conceptual model of gut mucosal bacterial communities.NPJ biofilms and microbiomes · 2024Article
- Deconstructing synthetic biology across scales: a conceptual approach for training synthetic biologists.Nature communications · 2024Review
- Tuning interdomain conjugation to enablemSystems · 2024Article
- Active pH regulation facilitatesmBio · 2024Article
- Flux sampling in genome-scale metabolic modeling of microbial communities.BMC bioinformatics · 2024Article
- Spatial constraints and stochastic seeding subvert microbial arms race.PLoS computational biology · 2024Article
- Genetic mixing and demixing on expanding spherical frontiers.ISME communications · 2024Article
- Spatial biology of Ising-like synthetic genetic networks.BMC biology · 2023Article
- Flux Sampling in Genome-scale Metabolic Modeling of Microbial Communities.bioRxiv : the preprint server for biology · 2023Article
- Impact of direct physical association and motility on fitness of a synthetic interkingdom microbial community.The ISME journal · 2023Article
Corrections and comments
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Authors and funding
2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundSocial interactions have been increasingly recognized as one of the major factors that contribute to the dynamics and function of bacterial communities. To understand their functional roles and enable the design of robust synthetic consortia, one fundamental step is to determine the relationship between the social interactions of individuals and the spatiotemporal structures of communities.
resultsWe present a systematic computational survey on this relationship for two-species communities by developing and utilizing a hybrid computational framework that combines discrete element techniques with reaction-diffusion equations. We found that deleterious interactions cause an increased variance in relative abundance, a drastic decrease in surviving lineages, and a rough expanding front. In contrast, beneficial interactions contribute to a reduced variance in relative abundance, an enhancement in lineage number, and a smooth expanding front. We also found that mutualism promotes spatial homogeneity and population robustness while competition increases spatial segregation and population fluctuations. To examine the generality of these findings, a large set of initial conditions with varying density and species abundance was tested and analyzed. In addition, a simplified mathematical model was developed to provide an analytical interpretation of the findings.
conclusionsThis work advances our fundamental understanding of bacterial social interactions and population structures and, simultaneously, benefits synthetic biology for facilitated engineering of artificial microbial consortia.
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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.