Evidence map›Paper›PMID 42210436›Full record

ArticleMicrobiome2026

Deterministic assembly of rhizosphere bacterial community enables predictable and stable suppression of Verticillium wilt via microbial homeostasis.

Jiamin Ai, Jiangying Huang, Chenyuan Wang, Xinrui Wang, Yiduo Zhao, Gehong Wei, Zhefei Li

Abstract read
In one paragraph

Article in Microbiome, 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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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

7 authors.

Jiamin AiState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Jiangying HuangState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Chenyuan WangState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Xinrui WangState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Yiduo ZhaoState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Gehong WeiState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, China. weigehong@nwafu.edu.cn.
Zhefei LiState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi, 712100, China. lizhefei@nwafu.edu.cn.

Funding

the National Natural Science Foundation of China 42277317
6 · The paper itself

Abstract

backgroundThe rhizosphere microbiota plays essential roles in maintaining normal physiological function and preventing disease in plants. However, the mechanisms by which soil-borne pathogens break through the microbial defense line in the rhizosphere to infect the host are not well understood.

resultsIn this study, we observed that the relative abundance of Verticillium dahliae does not significantly differ between healthy and diseased rhizospheres, but the root-associated microbial community structure changes substantially. The invasion of pathogens shifts the assembly process of the microbial community from deterministic to stochastic, making it difficult to predict the disease resistance function of the rhizosphere microbial community. An increase in stochasticity promotes the rapid proliferation of opportunistic bacteria, which deplete carbon sources, disrupt the balance of the original microbial community, and reduce network stability. Consequently, the depletion of beneficial microbes leads to rhizosphere dysbiosis, while fungal pathogenic allies gain a competitive advantage, thereby facilitating the progression of Verticillium wilt. These results are further validated by constructing synthetic microbial communities (SynComs) using strains enriched in different ecological processes. Healthy plants maintain their health by recruiting beneficial microorganisms through deterministic processes. Moreover, the disease-suppressive efficacy of SynComs governed by deterministic processes was less affected by inoculation timing or concentration, making their functional outcomes more predictable. In contrast, the disease resistance levels of SynComs governed by stochastic processes are more sensitive to inoculation timing and concentration, making their function more unpredictable.

conclusionsOverall, our findings emphasize the potential of SynComs designed according to community assembly principles to combat soil-borne diseases, with deterministically assembled SynComs providing more durable disease resistance than stochastically assembled ones. Video Abstract.

Indexed as

AscomycotaBacteriaMicrobiotaPlant DiseasesRhizosphereSoil MicrobiologyVerticilliumHomeostasisPlant RootsCommunity assemblyPathobiomeRhizosphere microbiotaSynthetic microbial communities (SynComs)

Identifiers

PMID42210436
PMCPMC13411133

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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.