Evidence map›Paper›PMID 41832138›Full record

ArticleNature communications2026

Predator-driven microbial feedback loops promote plant health.

Gen Li, Ting Liu, Huiyu Chuai, Huiping Ma, Zihan Yang, Yangchu Xu, Huixin Li, Qirong Shen, Feng Hu, Stefan Geisen and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
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

13 authors.

Gen Li *College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China.
Ting Liu *College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China. ting.liu@njau.edu.cn.
Huiyu ChuaiCollege of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China.
Huiping MaCollege of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China.
Zihan YangCollege of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China.
Yangchu XuCollege of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China.ORCID http://orcid.org/0000-0003-2740-5561
Huixin LiCollege of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China.
Qirong ShenCollege of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China.ORCID http://orcid.org/0000-0002-4939-2506
Feng HuCollege of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China.
Stefan GeisenLaboratory of Nematology, Wageningen University, Wageningen, The Netherlands.ORCID http://orcid.org/0000-0003-0734-727X
Alexandre JoussetCollege of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China.ORCID http://orcid.org/0000-0002-6805-2486
Zhong WeiCollege of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, China. weizhong@njau.edu.cn.ORCID http://orcid.org/0000-0002-7967-4897
Shane HogleDepartment of Biology, University of Turku, Turku, Finland.ORCID http://orcid.org/0000-0003-2595-3863

Funding

National Natural Science Foundation of China (National Science Foundation of China) 42577332
6 · The paper itself

Abstract

Top-down trophic interactions are major drivers of microbiome dynamics, yet their outcomes are difficult to predict and their consequences for pathogen control remain unclear. We combine synthetic bacterial communities of varying complexity with field studies and microcosm assays to test whether microbivorous nematodes reorganize microbiomes to suppress soilborne disease. Field studies show stronger nematode-microbe associations around healthy plants, and microcosm assays confirm that nematode presence produces stable suppression, whereas microbe-only communities collapse under pathogen invasion. Nematode predation depletes non-preferred bacterial taxa and enriches metabolically versatile taxa within Proteobacteria, increasing community-level antagonistic potential and promoting complementary resource-use interactions linked to pathogen inhibition, yielding suppression beyond individual or pairwise effects. A minimal four-component feedback loop linking a nematode predator, plant pathogens, and two plant-associated bacteria with complementary functions accounts for the emergent outcome. Together, these results reveal an animal-mediated pathway of microbiome assembly that enhances resistance to pathogen invasion and provide a trophically informed framework for designing stable, disease-suppressive microbiomes in agriculture.

Indexed as

MicrobiotaNematodaPlant DiseasesPlantsAnimalsFeedback, PhysiologicalSoil Microbiology

Identifiers

PMID41832138
PMCPMC13133395

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 OpenQuestion graph.