ArticleFrontiers in microbiology2026
Metagenomic analysis suggests that tomato root-knot nematode infestation disrupts rhizosphere microbial networks, consistent with reduced disease suppression.
Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Introduction: The rhizosphere microbiome serves as a critical line of defense for plant health and soil-borne disease suppression. However, the underlying mechanisms by which root-knot nematodes (RKN), a devastating soil-borne pathogen, undermine putative disease-suppressive function through destabilizing microbial interaction networks remain poorly understood. Methods: This study employed metagenomic sequencing coupled with microbial co-occurrence network analysis to systematically compare the community structure, interaction network topology, and functional gene profiles of the rhizosphere microbiome between healthy and RKN-infected tomato plants. Results: Our findings revealed that RKN infection significantly altered the community structure of bacteria, fungi, and viruses. This disturbance was associated with a systematic simplification and loss of modularity within microbial interaction networks. Specifically, intra-domain bacterial networks exhibited reduced scale and connectivity, whereas fungal networks showed strengthened internal cohesion. Cross-kingdom interactions (e.g., bacteria-fungi) were severely weakened, resulting in a topological imbalance characterized by "tight within domains, loose between domains." Functional profiling further indicated a distinct metabolic reprogramming in the infected rhizosphere, with a shift in resource allocation from growth and biosynthesis toward core energy acquisition and stress response. Discussion: Collectively, our results suggest that the putative decline in disease-suppressive function following RKN infection may be mechanistically rooted in the destabilization of microbial cooperative networks and the consequent loss of functional redundancy. This study provides a novel network-level ecological framework for understanding plant-microbe-pathogen interactions and lays a theoretical foundation for microbiome-based ecological management strategies against soil-borne diseases.
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