Evidence map›Paper›PMID 42182023›Full record

ArticleFrontiers in microbiology2026

Metagenomic analysis suggests that tomato root-knot nematode infestation disrupts rhizosphere microbial networks, consistent with reduced disease suppression.

Jie Duan, Yang Chen, Xiaojing Zhang, Chenchen Li, Tianmei Gao, Kemei Li

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jie DuanKey Laboratory of the Pest Monitoring and Safety Control of Crops and Forests of the Xinjiang Uygur Autonomous Region/Key Laboratory of Prevention and Control of Invasive Alien Species in Agriculture and Forestry of the North-western Desert Oasis (Co-construction by Ministry and Province), College of Agronomy, Ministry of Agriculture and Rural Affairs, Xinjiang Agricultural University, Urumqi, China.
Yang ChenKey Laboratory of the Pest Monitoring and Safety Control of Crops and Forests of the Xinjiang Uygur Autonomous Region/Key Laboratory of Prevention and Control of Invasive Alien Species in Agriculture and Forestry of the North-western Desert Oasis (Co-construction by Ministry and Province), College of Agronomy, Ministry of Agriculture and Rural Affairs, Xinjiang Agricultural University, Urumqi, China.
Xiaojing ZhangKey Laboratory of the Pest Monitoring and Safety Control of Crops and Forests of the Xinjiang Uygur Autonomous Region/Key Laboratory of Prevention and Control of Invasive Alien Species in Agriculture and Forestry of the North-western Desert Oasis (Co-construction by Ministry and Province), College of Agronomy, Ministry of Agriculture and Rural Affairs, Xinjiang Agricultural University, Urumqi, China.
Chenchen LiKey Laboratory of the Pest Monitoring and Safety Control of Crops and Forests of the Xinjiang Uygur Autonomous Region/Key Laboratory of Prevention and Control of Invasive Alien Species in Agriculture and Forestry of the North-western Desert Oasis (Co-construction by Ministry and Province), College of Agronomy, Ministry of Agriculture and Rural Affairs, Xinjiang Agricultural University, Urumqi, China.
Tianmei GaoKey Laboratory of the Pest Monitoring and Safety Control of Crops and Forests of the Xinjiang Uygur Autonomous Region/Key Laboratory of Prevention and Control of Invasive Alien Species in Agriculture and Forestry of the North-western Desert Oasis (Co-construction by Ministry and Province), College of Agronomy, Ministry of Agriculture and Rural Affairs, Xinjiang Agricultural University, Urumqi, China.
Kemei LiKey Laboratory of the Pest Monitoring and Safety Control of Crops and Forests of the Xinjiang Uygur Autonomous Region/Key Laboratory of Prevention and Control of Invasive Alien Species in Agriculture and Forestry of the North-western Desert Oasis (Co-construction by Ministry and Province), College of Agronomy, Ministry of Agriculture and Rural Affairs, Xinjiang Agricultural University, Urumqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

functional redundancymetagenomicsmicrobial interaction networknetwork stabilityrhizosphere microbiomeroot-knot nematode

Identifiers

PMID42182023
PMCPMC13192367

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

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 Socratic graph.