Evidence map›Paper›PMID 41770930›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

High bacterial diversity drives the suppression of a soilborne plant disease.

Xiaoli Bai, Zhefei Li, Beibei Chen, Xun Qian, Yu Guo, Qian Wang, Chun Chen, Weimin Chen, Xihui Shen, Jialin Liu and 10 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 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. Review
  4. Review
  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

20 authors.

Xiaoli Bai *State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Life Sciences, Northwest A&F University, Shaanxi 712100, China.ORCID 0009-0000-6203-2989
Zhefei LiState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Life Sciences, Northwest A&F University, Shaanxi 712100, China.
Beibei Chen *State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Life Sciences, Northwest A&F University, Shaanxi 712100, China.ORCID 0000-0001-5723-9168
Xun QianState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Life Sciences, Northwest A&F University, Shaanxi 712100, China.ORCID 0000-0003-0102-535X
Yu GuoState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Life Sciences, Northwest A&F University, Shaanxi 712100, China.
Qian WangState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Life Sciences, Northwest A&F University, Shaanxi 712100, China.
Chun ChenState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Life Sciences, Northwest A&F University, Shaanxi 712100, China.ORCID 0000-0001-7246-7281
Weimin ChenState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Life Sciences, Northwest A&F University, Shaanxi 712100, China.
Xihui ShenState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Life Sciences, Northwest A&F University, Shaanxi 712100, China.ORCID 0000-0001-6867-8887
Jialin LiuState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Life Sciences, Northwest A&F University, Shaanxi 712100, China.
Juan JinState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Life Sciences, Northwest A&F University, Shaanxi 712100, China.
Weiqin ZhangState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Life Sciences, Northwest A&F University, Shaanxi 712100, China.
Qi LiuState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Life Sciences, Northwest A&F University, Shaanxi 712100, China.
Shi ChenState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Life Sciences, Northwest A&F University, Shaanxi 712100, China.ORCID 0000-0003-4342-3583
Shanshan YangState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Life Sciences, Northwest A&F University, Shaanxi 712100, China.
Leilei XuState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Life Sciences, Northwest A&F University, Shaanxi 712100, China.
Marcel G A van der HeijdenPlant-Soil Interactions, Agroscope, Zurich 8046, Switzerland.
James M TiedjeDepartment of Plant, Soil and Microbial Sciences, Center for Microbial Ecology, Michigan State University, East Lansing, MI 48824.ORCID 0000-0002-8992-6218
Shuo JiaoState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Life Sciences, Northwest A&F University, Shaanxi 712100, China.ORCID 0000-0002-5938-0277
Gehong WeiState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, College of Life Sciences, Northwest A&F University, Shaanxi 712100, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rhizosphere microbiome plays a crucial role in the resistance to soilborne plant diseases. However, the principles needed to explain and predict which microbiota will be effective against soilborne pathogens are still lacking due to the complexity of the soil microbial community. We hypothesized that, independent of particular microbial strains, a high diversity is associated with, or increases the probability of, effective suppression. We tested this hypothesis by demonstrating that random combinations of rhizosphere microbial isolates, with the same bacterial diversity, had an equal impact on suppressing root diseases. The incidence of root rot was significantly reduced when soil bacterial diversity was high. We further investigated how high-diversity bacterial communities suppress root rot by constructing synthetic bacterial communities (SynComs). The results suggest that high bacterial diversity suppresses pathogens through mechanisms potentially including nutrient competition and the formation of physical barriers on the root surface. Our study highlights that high bacterial diversity is beneficial for suppressing soilborne plant diseases, offering a nonchemical and sustainable approach for crop disease management.

Indexed as

BacteriaMicrobiotaPlant DiseasesSoil MicrobiologyBiodiversityPlant RootsRhizospherebacterial diversitybiofilm formationcompetitionsoilborne diseasesynthetic microbiota

Identifiers

PMID41770930
PMCPMC12974508

What Socratic holds

Textmetadata
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 Socratic graph.