ArticleNucleic acids research2010
The large-scale organization of the bacterial network of ecological co-occurrence interactions.
Article in Nucleic acids research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 125 papers.
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Who cites it
125 citing papers in PubMed.
- Decoding microbial metabolic complementarity from individual traits to community structuring.Ecology · 2026Article
- Host Species Mediate Distinct Seed Microbiome Responses to Restoration.Microbial ecology · 2026Article
- Classification of the tongue microbiota and its associations with lifestyle factors and health status.NPJ biofilms and microbiomes · 2026Article
- Plant diversity induces shifts from microbial generalists to specialist by enhancing niche differentiation, microbiome connectivity, and network stability in a temperate grassland.Environmental microbiome · 2026Article
- Divergent Successional Patterns ofMicroorganisms · 2026Article
- Article
- Earthworm Abundances Change the Community Structure and Diversity of Soil Bacteria and Fungi in a Microcosm Experiment.Current microbiology · 2025Article
- Evaluating changes in attractor sets under small network perturbations to infer reliable microbial interaction networks from abundance patterns.Bioinformatics (Oxford, England) · 2025Article
- Mesotrione alters the structure of network interactions between soil microbes and affects C and N cycling functions.Frontiers in microbiology · 2025Article
- Article
- The Reverse Ecology-Based Approach to Design a Bacterial Consortium as Soybean Bioinoculant.Current microbiology · 2024Article
- Changes in Soil Bacterial and Fungal Community Composition and Functional Groups During the Artificial Restoration of Degraded Grassland of "Black-Soil Mountain".Ecology and evolution · 2024Article
- Assembling bacterial puzzles: piecing together functions into microbial pathways.NAR genomics and bioinformatics · 2024Article
- Comparing Sediment Bacterial Communities of Volcanic Lakes and Surrounding Rivers in Inner Mongolia Autonomous Region, Northeastern China.Microorganisms · 2024Article
- Modeling Microbial Community Networks: Methods and Tools for Studying Microbial Interactions.Microbial ecology · 2024Review
- Deciphering the impact of microbial interactions on COPD exacerbation: An in-depth analysis of the lung microbiome.Heliyon · 2024Article
- An Assessment of Human Opportunistic Pathogenic Bacteria on Daily Necessities in Nanjing City during Plum Rain Season.Microorganisms · 2024Article
- Spatial distribution and drivers of arbuscular mycorrhizal fungi on the Tibetan Plateau.Frontiers in plant science · 2024Article
- Microbial community diversity from nearshore to offshore in the East China Sea.Frontiers in microbiology · 2024Article
- Differences inMicroorganisms · 2023Article
65 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In their natural environments, microorganisms form complex systems of interactions. Understating the structure and organization of bacterial communities is likely to have broad medical and ecological consequences, yet a comprehensive description of the network of environmental interactions is currently lacking. Here, we mine co-occurrences in the scientific literature to construct such a network and demonstrate an expected pattern of association between the species' lifestyle and the recorded number of co-occurring partners. We further focus on the well-annotated gut community and show that most co-occurrence interactions of typical gut bacteria occur within this community. The network is then clustered into species-groups that significantly correspond with natural occurring communities. The relationships between resource competition, metabolic yield and growth rate within the clusters correspond with the r/K selection theory. Overall, these results support the constructed clusters as a first approximation of a bacterial ecosystem model. This comprehensive collection of predicted communities forms a new data resource for further systematic characterization of the ecological design principals shaping communities. Here, we demonstrate its utility for predicting cooperation and inhibition within communities.
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