ArticleNature ecology & evolution2026
Substrate utilization and cross-feeding synergistically determine microbiome resistance to pathogen invasion.
Article in Nature ecology & evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
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Who cites it
8 citing papers in PubMed.
- SubCom analysis: dissecting microbial community functions into taxon-specific contributions and interaction contexts.Microbiome · 2026Article
- The Composition and Differentiation of the Seed-Associated Microbiome in Rapeseed Seeds as Studied Through 218 Rapeseed Transcriptomes.International journal of molecular sciences · 2026Article
- Deterministic assembly of rhizosphere bacterial community enables predictable and stable suppression of Verticillium wilt via microbial homeostasis.Microbiome · 2026Article
- Review
- Mechanistic Insights for Microbiome Application in Plant Disease Resistance.Molecular plant pathology · 2026Review
- Carbon substrate type shapes spatial self-organization in a multi-species biofilm community.The ISME journal · 2026Article
- Free ammonia stress rewires microbial signaling networks and constrains metabolic cooperation in oxygenic photogranules.The ISME journal · 2026Article
- Competition between resident rhizosphere bacteria enhances phytopathogen suppression via emergent antagonism.The ISME journal · 2026Article
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding how plant-associated microbiomes resist phytopathogen invasion remains a key challenge in natural ecosystems. Here we combined genome-scale metabolic models with synthetic community experiments, both in vitro and in planta, to unravel the mechanisms driving pathogen suppression. We developed curated genome-scale models for each strain, incorporating 48 common resource utilization profiles to fully capture their metabolic capacities. Trophic interactions inferred from models effectively predicted pathogen invasion outcomes across diverse microbial communities and nutrient environments. Importantly, considering both substrate and metabolite features provided a more holistic understanding of pathogen suppression. In particular, cross-feeding metabolites within the native community emerged as crucial yet often overlooked predictors of community resistance, disproportionally favouring native species over invaders. This study lays the foundation for designing disease-resistant microbiomes, with broad implications for mitigating pathogen exposure in diverse environments.
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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.