ReviewMolecular systems biology2011
Social interaction in synthetic and natural microbial communities.
Review in Molecular systems biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
68 citing papers in PubMed.
- Plant-Microbiome Interactions in Medicinal Plants: A Synergistic Partnership for Biomass Production and Secondary Metabolite Accumulation.Microorganisms · 2026Review
- Multilevel selection in multitype populations.PNAS nexus · 2026Article
- Morphological plasticity of endophytic Chitinophaga pinensis.Antonie van Leeuwenhoek · 2026Article
- An anticipatory mechanism enhances the cooperative behaviors of quorum sensing mutants in Pseudomonas aeruginosa.PLoS pathogens · 2025Article
- Strong segregation promotes self-destructive cooperation.The ISME journal · 2025Article
- Exploring interspecific interaction variability in microbiota: A review.Engineering microbiology · 2024Review
- Deciphering the influence of NaCl on social behaviour ofRoyal Society open science · 2024Article
- A whole-cell platform for discovering synthetic cell adhesion molecules in bacteria.Nature communications · 2024Article
- Article
- Circuit-guided population acclimation of a synthetic microbial consortium for improved biochemical production.Nature communications · 2022Article
- Article
- Understanding Interaction Patterns within Deep-Sea Microbial Communities and Their Potential Applications.Marine drugs · 2022Review
- Article
- Swarming bacteria undergo localized dynamic phase transition to form stress-induced biofilms.eLife · 2021Article
- A metagenomics approach to investigate microbiome sociobiology.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Increased Intraspecies Diversity inAntibiotics (Basel, Switzerland) · 2020Article
- Cross-level sociodemographic homogeneity alters individual risk for completed suicide.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Quorum sensing for population-level control of bacteria and potential therapeutic applications.Cellular and molecular life sciences : CMLS · 2020Review
- Capsule ProtectsFrontiers in microbiology · 2020Article
- PQS Produced by the Pseudomonas aeruginosa Stress Response Repels Swarms Away from Bacteriophage and Antibiotics.Journal of bacteriology · 2019Article
8 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Social interaction among cells is essential for multicellular complexity. But how do molecular networks within individual cells confer the ability to interact? And how do those same networks evolve from the evolutionary conflict between individual- and population-level interests? Recent studies have dissected social interaction at the molecular level by analyzing both synthetic and natural microbial populations. These studies shed new light on the role of population structure for the evolution of cooperative interactions and revealed novel molecular mechanisms that stabilize cooperation among cells. New understanding of populations is changing our view of microbial processes, such as pathogenesis and antibiotic resistance, and suggests new ways to fight infection by exploiting social interaction. The study of social interaction is also challenging established paradigms in cancer evolution and immune system dynamics. Finding similar patterns in such diverse systems suggests that the same 'social interaction motifs' may be general to many cell populations.
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Registered trials
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.