ReviewTrends in microbiology2017
Disentangling Interactions in the Microbiome: A Network Perspective.
Review in Trends in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 335 papers, 2 of them syntheses that pooled it.
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
335 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Standardized 16S Meta-Analysis Reveals Consistent Host-Associated Patterns in Laminariales Epiphytic Microbiomes.MicrobiologyOpen · 2026Pooled it
- Meta-analysis of microbiome association networks reveal patterns of dysbiosis in diseased microbiomes.Scientific reports · 2022Pooled it
- Effect ofNutrients · 2026Trial
- A network dynamical simulation model for the study of antibiotic resistance in microbial communities.Gut microbes · 2026Article
- Gut Microbial Topology and Metabolic Signatures Associated With Colorectal Neoplasia.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Clinical Subtype Stratification Reveals Gut Microbial Alterations, Candidate Markers, and Co-Occurrence Network Remodeling in Coronary Artery Disease.Microorganisms · 2026Article
- Differential analysis of microbial interaction networks.Briefings in bioinformatics · 2026Article
- Host phylogeny and microbiome composition predict gut nematode community composition within a diverse assemblage of African herbivores.Biology letters · 2026Article
- Article
- Contrasting the Microbial Communities in Rhizosphere and Bulk Soils Across DifferentMicroorganisms · 2026Article
- Microbiome analysis and epigenetic patterns revealed distinct differences between two elm species with contrasting Dutch elm disease resistance.Microbiome · 2026Article
- Hydrological Regime Shifts Reshape Assembly Dynamics of Multi-Trophic Microbial Communities in Pumping Station Forebays.Environmental microbiology · 2026Article
- Microbial co-occurrence patterns and community assembly in seamount sediment cores: disentangling the effects of assembly processes on β-diversity.Applied and environmental microbiology · 2026Article
- Differential co-occurrence analysis: a method to extract ecological modules from clinical microbiome data.mSystems · 2026Article
- Social organization and habitat use shape the gut microbiome of a marine fish.The Journal of animal ecology · 2026Article
- Composite probiotics improve growth performance and enhance immune and antioxidant capacity in weaned yaks by modulating rumen microbiota and their metabolites.BMC microbiology · 2026Article
- Breakdown of microbial networks links nutrient stress and reef coral disease.Nature communications · 2026Article
- A Tree-Based Model for Addressing Sparsity and Taxa Covariance in Microbiome Compositional Count Data.Statistics in medicine · 2026Article
- MicroSSNet: an R package for microbial network construction and analysis at the single-sample and aggregated levels.BMC bioinformatics · 2026Article
- Seed-microbiome interactions: Mechanistic insights and utilization toward seed performance for sustainable agriculture.Plant communications · 2026Review
275 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
Microbiota are now widely recognized as being central players in the health of all organisms and ecosystems, and subsequently have been the subject of intense study. However, analyzing and converting microbiome data into meaningful biological insights remain very challenging. In this review, we highlight recent advances in network theory and their applicability to microbiome research. We discuss emerging graph theoretical concepts and approaches used in other research disciplines and demonstrate how they are well suited for enhancing our understanding of the higher-order interactions that occur within microbiomes. Network-based analytical approaches have the potential to help disentangle complex polymicrobial and microbe-host interactions, and thereby further the applicability of microbiome research to personalized medicine, public health, environmental and industrial applications, and agriculture.
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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.