ReviewCurrent opinion in microbiology2021
Towards a deeper understanding of microbial communities: integrating experimental data with dynamic models.
Review in Current opinion in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
35 citing papers in PubMed.
- Physics-constrained neural ordinary differential equation models to discover and predict microbial community dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Metabolic blueprints of monocultures enable prediction and design of synthetic microbial consortia.bioRxiv : the preprint server for biology · 2026Article
- Probiotic-infused activated charcoal/ hydroxyapatite microbeads: a novel strategy to disinfection.PeerJ · 2026Article
- From Single Organisms to Communities: Modeling Methanotrophs and Their Satellites.Microorganisms · 2025Review
- Identification of dynamic models of microbial communities: A workflow addressing identifiability and modeling pitfalls.PLoS computational biology · 2025Article
- Unravelling three-way interactions betweenJournal of medical microbiology · 2025Review
- Toward the Next Generation of In Silico Modeling of Dynamic Host-Microbiota Interactions in the Skin.JID innovations : skin science from molecules to population health · 2025Review
- Decoding the role of the arginine dihydrolase pathway in shaping human gut community assembly and health-relevant metabolites.Cell systems · 2025Article
- Exploring and evaluating microbiome resilience in the gut.FEMS microbiology ecology · 2025Review
- Maize associated bacterial and fungal microbiomes show contrasting conformation patterns dependent on plant compartment and water availability.BMC plant biology · 2025Article
- Metaproteomic Profiling of the Secretome of a Granule-forming Ca. Accumulibacter Enrichment.Proteomics · 2025Article
- Design and regulation of engineered bacteria for environmental release.Nature microbiology · 2025Review
- A data-driven modeling framework for mapping genotypes to synthetic microbial community functions.bioRxiv : the preprint server for biology · 2025Article
- Oral pathogens meet the gut microbiome: new mechanistic insights on systemic disease.Frontiers in cellular and infection microbiology · 2025Review
- Inferring stability and persistence in the vaginal microbiome: A stochastic model of ecological dynamics.Research square · 2024Article
- Engineering Microbial Consortia as Living Materials: Advances and Prospectives.ACS synthetic biology · 2024Review
- Elucidating human gut microbiota interactions that robustly inhibit diverse Clostridioides difficile strains across different nutrient landscapes.Nature communications · 2024Article
- Symbioses between fungi and bacteria: from mechanisms to impacts on biodiversity.Current opinion in microbiology · 2024Review
- Elucidating human gut microbiota interactions that robustly inhibit diversebioRxiv : the preprint server for biology · 2024Article
- Modeling Microbial Community Networks: Methods and Tools for Studying Microbial Interactions.Microbial ecology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Microbial communities and their functions are shaped by complex networks of interactions among microbes and with their environment. While the critical roles microbial communities play in numerous environments have become increasingly appreciated, we have a very limited understanding of their interactions and how these interactions combine to generate community-level behaviors. This knowledge gap hinders our ability to predict community responses to perturbations and to design interventions that manipulate these communities to our benefit. Dynamic models are promising tools to address these questions. We review existing modeling techniques to construct dynamic models of microbial communities at different scales and suggest ways to leverage multiple types of models and data to facilitate our understanding and engineering of microbial communities.
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What OpenQuestion holds
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.