ReviewComputational and structural biotechnology journal2020
Microbial model communities: To understand complexity, harness the power of simplicity.
Review in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
23 citing papers in PubMed.
- Ecology-guided Bacillus SynCom from a rice-duckweed core reveals division of labor for concurrent growth promotion and sheath blight suppression.Microbiome · 2026Article
- Virulent strains of Pseudomonas aeruginosa are more disruptive during invasion of a microbial model community.FEMS microbiology letters · 2026Article
- Synthetic microbial communities: a novel emerging models for dissecting gut microbiota-host interactions in neurodegenerative diseases.Frontiers in immunology · 2026Review
- Novel small molecule targeting PgQC reducesFrontiers in oral health · 2026Article
- Applying 3D cultures and high-throughput technologies to study host-pathogen interactions.Frontiers in immunology · 2025Review
- Synthetic communities derived from the core endophytic microbiome of hyperaccumulators and their role in cadmium phytoremediation.Microbiome · 2024Article
- Higher-order interactions and emergent properties of microbial communities: The power of synthetic ecology.Heliyon · 2024Review
- Microbiome Dynamics: A Paradigm Shift in Combatting Infectious Diseases.Journal of personalized medicine · 2024Review
- A comprehensive overview of microbiome data in the light of machine learning applications: categorization, accessibility, and future directions.Frontiers in microbiology · 2024Review
- Metabolic interactions affect the biomass of synthetic bacterial biofilm communities.mSystems · 2023Article
- Establishment of microbial model communities capable of removing trace organic chemicals for biotransformation mechanisms research.Microbial cell factories · 2023Article
- Dynamic social interactions and keystone species shape the diversity and stability of mixed-species biofilms - an example from dairy isolates.ISME communications · 2023Article
- Contrasting response of microeukaryotic and bacterial communities to the interplay of seasonality and local stressors in shallow soda lakes.FEMS microbiology ecology · 2023Article
- A structured evaluation of genome-scale constraint-based modeling tools for microbial consortia.PLoS computational biology · 2023Article
- Multichannel Microfluidic Platform for Temporal-Spatial Investigation of Niche Roles of Pseudomonas aeruginosa and Escherichia coli within a Dual-Species Biofilm.Applied and environmental microbiology · 2023Article
- Calibrating spatiotemporal models of microbial communities to microscopy data: A review.PLoS computational biology · 2022Review
- THOR's Hammer: the Antibiotic Koreenceine Drives Gene Expression in a Model Microbial Community.mBio · 2022Article
- Modeling approaches for probing cross-feeding interactions in the human gut microbiome.Computational and structural biotechnology journal · 2022Review
- Imaging Flow Cytometry to Study Biofilm-Associated Microbial Aggregates.Molecules (Basel, Switzerland) · 2021Article
- Leveraging Experimental Strategies to Capture Different Dimensions of Microbial Interactions.Frontiers in microbiology · 2021Review
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Natural microbial communities are complex ecosystems with myriads of interactions. To deal with this complexity, we can apply lessons learned from the study of model organisms and try to find simpler systems that can shed light on the same questions. Here, microbial model communities are essential, as they can allow us to learn about the metabolic interactions, genetic mechanisms and ecological principles governing and structuring communities. A variety of microbial model communities of varying complexity have already been developed, representing different purposes, environments and phenomena. However, choosing a suitable model community for one's research question is no easy task. This review aims to be a guide in the selection process, which can help the researcher to select a sufficiently well-studied model community that also fulfills other relevant criteria. For example, a good model community should consist of species that are easy to grow, have been evaluated for community behaviors, provide simple readouts and - in some cases - be of relevance for natural ecosystems. Finally, there is a need to standardize growth conditions for microbial model communities and agree on definitions of community-specific phenomena and frameworks for community interactions. Such developments would be the key to harnessing the power of simplicity to start disentangling complex community interactions.
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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.