ReviewMicrobial biotechnology2017
Elucidation of complexity and prediction of interactions in microbial communities.
Review in Microbial biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 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
64 citing papers in PubMed.
- CAZyme fold architecture is conserved between disparate environments despite extreme sequence divergence.mSystems · 2026Article
- Composition and metabolic potential of microbial communities in chemically contaminated soils: a multi-dimensional assessment.Frontiers in microbiology · 2026Article
- Host depletion kits improve microbiome analyses in environmental samples: seagrass as a test case.ISME communications · 2026Article
- Metabolic interplay in a synthetic consortium: insights into the mediating role of a minority species.Frontiers in microbiology · 2026Article
- Integrating resource utilization and bioregenerative life support systems for sustainable space exploration.Frontiers in microbiology · 2026Review
- Predicting microbial community structure and temporal dynamics by using graph neural network models.Nature communications · 2025Article
- Targeting the Gut Microbiota's Role in Host Energy Absorption With Precision Nutrition Interventions for the Prevention and Treatment of Obesity.Nutrition reviews · 2025Review
- Systematically exploring and evaluating core fungal composition and their flavor profile in fermented grains of Jiang-flavor baijiu.Food chemistry: X · 2025Article
- Seeing between the lines: matrix-assisted laser desorption/ionization mass spectrometry imaging advances for microbial interactions.Current opinion in microbiology · 2025Review
- Metagenomics-assembled genomes reveal microbial metabolic adaptation to athalassohaline environment, the case Lake Barkol, China.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
- The Relationship between Exposome and Microbiome.Microorganisms · 2024Review
- Engineering natural microbiomes toward enhanced bioremediation by microbiome modeling.Nature communications · 2024Article
- High-throughput sequencing-based analysis of the composition and diversity of the endophytic bacterial community in the roots of3 Biotech · 2024Article
- Revealing the hierarchical structure of microbial communities.Scientific reports · 2024Article
- Biocontrol in built environments to reduce pathogen exposure and infection risk.The ISME journal · 2024Review
- ScyNet: Visualizing interactions in community metabolic models.Bioinformatics advances · 2024Article
- Inferring microbial co-occurrence networks from amplicon data: a systematic evaluation.mSystems · 2023Article
- Regulated bacterial interaction networks: A mathematical framework to describe competitive growth under inclusion of metabolite cross-feeding.PLoS computational biology · 2023Article
- The contrasting roles of nitric oxide drive microbial community organization as a function of oxygen presence.Current biology : CB · 2022Article
4 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
3 authors.
Funding
Abstract
Microorganisms engage in complex interactions with other members of the microbial community, higher organisms as well as their environment. However, determining the exact nature of these interactions can be challenging due to the large number of members in these communities and the manifold of interactions they can engage in. Various omic data, such as 16S rRNA gene sequencing, shotgun metagenomics, metatranscriptomics, metaproteomics and metabolomics, have been deployed to unravel the community structure, interactions and resulting community dynamics in situ. Interpretation of these multi-omic data often requires advanced computational methods. Modelling approaches are powerful tools to integrate, contextualize and interpret experimental data, thus shedding light on the underlying processes shaping the microbiome. Here, we review current methods and approaches, both experimental and computational, to elucidate interactions in microbial communities and to predict their responses to perturbations.
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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.