ArticleNature communications2023
Identifying microbiota community patterns important for plant protection using synthetic communities and machine learning.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis 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
51 citing papers in PubMed, 1 synthesis or guideline pooled it.
- How Useful Are Plant Traits in Explaining Variation in Phyllosphere Microbial Abundance and Composition Across Hosts?Environmental microbiology · 2025Pooled it
- Synergistic interactions in designed bacterial consortia: Dual effects on control rusty root rot and growth promotion in ginseng.Synthetic and systems biotechnology · 2026Article
- Enhancing the Secretion Systems: Genetic Engineering of Super Bioagents for Effective Plant Disease Control.Biotechnology and bioengineering · 2026Review
- Family matters in the root microbiota.Nature microbiology · 2026Article
- Challenges and Future Directives of Synthetic Biology in Engineering Plant-Microbe Partnerships for Sustainable Agriculture.Biotechnology and bioengineering · 2026Review
- The Integrated Management of Sugar-Beet Soilborne Diseases Through Rhizosphere Microbiome Strategies: A Critical Review of Agronomic Evidence and Application Gaps.Plants (Basel, Switzerland) · 2026Review
- It takes a village: how plant-associated bacterial communities socialise to shape plant growth and health.Essays in biochemistry · 2026Review
- Review
- Machine learning reveals biocontrol agents shaping disease outcome in natural Arabidopsis populations.Nature communications · 2026Article
- Rhizobacterial functional assemblies modulate accumulation of phthalates in choysum (Brassica parachinensis L.).Microbiome · 2026Article
- SubCom analysis: dissecting microbial community functions into taxon-specific contributions and interaction contexts.Microbiome · 2026Article
- Synthetic Microbial Community Biosensors: From Engineered Ecosystems to Modular Detection Platforms with AI-Driven Intelligence.Biosensors · 2026Review
- Synthetic microbial communities: from theoretical exploration to applied innovation.World journal of microbiology & biotechnology · 2026Review
- Time-series dynamics and biocontrol potential of postharvest bacteria in litchi microbiota.Science China. Life sciences · 2026Article
- Precisely designed keystone metabolites boost shrimp disease resistance by recruiting symbionts via the lipoxin A4-AP-1 pathway.Microbiome · 2026Article
- Plant health in the era of global changes, holobiont biology, and microbiome-based solutions.Horticulture research · 2026Article
- Protective holobiome promotes strawberry tolerance of biotic stresses.Stress biology · 2026Review
- Review
- Diverse rhizospheric Bacillus are required for protection against a leaf pathogen.The ISME journal · 2026Article
- Soil-borne diseases in medicinal plants: linking allelopathy and host immunity to microbiome-based interventions.Frontiers in plant science · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Plant-associated microbiomes contribute to important ecosystem functions such as host resistance to biotic and abiotic stresses. The factors that determine such community outcomes are inherently difficult to identify under complex environmental conditions. In this study, we present an experimental and analytical approach to explore microbiota properties relevant for a microbiota-conferred host phenotype, here plant protection, in a reductionist system. We screened 136 randomly assembled synthetic communities (SynComs) of five bacterial strains each, followed by classification and regression analyses as well as empirical validation to test potential explanatory factors of community structure and composition, including evenness, total commensal colonization, phylogenetic diversity, and strain identity. We find strain identity to be the most important predictor of pathogen reduction, with machine learning algorithms improving performances compared to random classifications (94-100% versus 32% recall) and non-modelled predictions (0.79-1.06 versus 1.5 RMSE). Further experimental validation confirms three strains as the main drivers of pathogen reduction and two additional strains that confer protection in combination. Beyond the specific application presented in our study, we provide a framework that can be adapted to help determine features relevant for microbiota function in other biological systems.
Indexed as
Identifiers
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.