Evidence map›Paper›PMID 42237362›Full record

ArticleMicrobiome2026

Host-guided microbiome-metabolite interactions enable cross-kingdom SynComs for disease suppression.

Shanshan Liu, Shuxian Wang, Jingyuan Zhang, Chengyuan Tao, Mohammadhossein Ravanbakhsh, Xu Xu, Kaiqi Wen, Dandan Xiang, Ou Sheng, Zongzhuan Shen and 4 more

Abstract read
PubMed Full text at PMC Publisher
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.

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

14 authors.

Shanshan LiuThe Sanya Institute of the Nanjing Agricultural University, Jiangsu Provincial Key Lab for Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center of Solid Organic Wastes, Educational Ministry Engineering Center of Resource-Saving Fertilizers, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, China.
Shuxian WangThe Sanya Institute of the Nanjing Agricultural University, Jiangsu Provincial Key Lab for Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center of Solid Organic Wastes, Educational Ministry Engineering Center of Resource-Saving Fertilizers, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, China.
Jingyuan ZhangThe Sanya Institute of the Nanjing Agricultural University, Jiangsu Provincial Key Lab for Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center of Solid Organic Wastes, Educational Ministry Engineering Center of Resource-Saving Fertilizers, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, China.
Chengyuan TaoThe Sanya Institute of the Nanjing Agricultural University, Jiangsu Provincial Key Lab for Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center of Solid Organic Wastes, Educational Ministry Engineering Center of Resource-Saving Fertilizers, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, China.
Mohammadhossein RavanbakhshEcology and Biodiversity Group, Institute of Environmental Biology, Department of Biology, Utrecht University, Padualaan 8, Utrecht, 3584 CH, The Netherlands.
Xu XuThe Sanya Institute of the Nanjing Agricultural University, Jiangsu Provincial Key Lab for Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center of Solid Organic Wastes, Educational Ministry Engineering Center of Resource-Saving Fertilizers, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, China.
Kaiqi WenThe Sanya Institute of the Nanjing Agricultural University, Jiangsu Provincial Key Lab for Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center of Solid Organic Wastes, Educational Ministry Engineering Center of Resource-Saving Fertilizers, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, China.
Dandan XiangKey Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization, Ministry of Agriculture, Key Laboratory of Tropical and Subtropical Fruit Tree Research of Guangdong Province, Institution of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong Province, 510640, China.
Ou ShengKey Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization, Ministry of Agriculture, Key Laboratory of Tropical and Subtropical Fruit Tree Research of Guangdong Province, Institution of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong Province, 510640, China.
Zongzhuan ShenThe Sanya Institute of the Nanjing Agricultural University, Jiangsu Provincial Key Lab for Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center of Solid Organic Wastes, Educational Ministry Engineering Center of Resource-Saving Fertilizers, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, China.
Chunyu LiKey Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization, Ministry of Agriculture, Key Laboratory of Tropical and Subtropical Fruit Tree Research of Guangdong Province, Institution of Fruit Tree Research, Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong Province, 510640, China.
Rong LiThe Sanya Institute of the Nanjing Agricultural University, Jiangsu Provincial Key Lab for Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center of Solid Organic Wastes, Educational Ministry Engineering Center of Resource-Saving Fertilizers, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, China. lirong@njau.edu.cn.
Qirong ShenThe Sanya Institute of the Nanjing Agricultural University, Jiangsu Provincial Key Lab for Solid Organic Waste Utilization, Jiangsu Collaborative Innovation Center of Solid Organic Wastes, Educational Ministry Engineering Center of Resource-Saving Fertilizers, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, China.
George A KowalchukEcology and Biodiversity Group, Institute of Environmental Biology, Department of Biology, Utrecht University, Padualaan 8, Utrecht, 3584 CH, The Netherlands.

Funding

Achievement Transformation Fund project of Hainan Research Institute of Nanjing Agricultural University NAUSY-CG-ZD-01Fundamental Research Funds for the Central Universities KJYQ2025053Fundamental Research Funds for the Central Universities KTTQ2025018Hainan Provincial Natural Science Foundation of China 322MS092National key research and development program of China 2024YFD1401105National Natural Science Foundation of China 42477316
6 · The paper itself

Abstract

backgroundThe plant microbiome plays a crucial role in enhancing disease resistance, yet microbiome-based plant protection strategies remain limited by an incomplete understanding of how host selection, microbial interactions, and rhizosphere chemistry jointly shape pathogen suppression.

resultsHere, we adopt a "learning from nature" approach to design synthetic microbial communities (SynComs) that recapitulate naturally evolved disease-suppressive interactions, using banana Fusarium wilt as a model system. High-throughput profiling revealed that both bacterial and fungal communities contribute to varietal resistance. Resistance-associated microbial taxa were identified and isolated to assemble bacterial, fungal, and cross-kingdom SynComs representative of resistant versus susceptible hosts. SynComs derived from resistant varieties suppressed pathogen growth more effectively than those from susceptible hosts, with cross-kingdom SynComs exhibiting the strongest effects. Cross-kingdom SynCom inoculation significantly reduced disease severity and restructured both the composition and functional potential of the rhizosphere microbiome. Integrative transcriptomic and metabolomic analyses revealed coordinated host metabolic reprogramming, characterized by increased accumulation of diverse metabolites, including alkaloids, amino acids, and flavonoids. Notably, supplementation with resistance-associated rhizosphere metabolites, such as stearic acid and shikimic acid, further enhanced disease suppression.

conclusionsTogether, our findings establish a mechanistic framework in which host-guided microbiome assembly and metabolite-mediated interactions jointly enable effective cross-kingdom SynComs for disease suppression, providing ecological principles for microbiome-based plant protection strategies. Video Abstract.

Indexed as

FusariumMicrobiotaMusaPlant DiseasesBacteriaDisease ResistanceFungiMicrobial InteractionsPlant RootsRhizosphereSoil MicrobiologyFusarium wilt diseasePlant–microbe interactionPlant protectionRhizosphere metabolitesRhizosphere microbiomeSynthetic microbial communities

Identifiers

PMID42237362
PMCPMC13455229

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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.