Evidence map›Paper›PMID 35869387›Full record

ArticleThe ISME journal2022

Small changes in rhizosphere microbiome composition predict disease outcomes earlier than pathogen density variations.

Yian Gu, Samiran Banerjee, Francisco Dini-Andreote, Yangchun Xu, Qirong Shen, Alexandre Jousset, Zhong Wei

Open access · hybridAbstract read
In one paragraph

Article in The ISME journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 1 pooled it
28.8field-weighted citation impact, top 1% of its field
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

70 citing papers in PubMed, 1 synthesis or guideline pooled it, 141 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Enhanced Endophytic Colonization of Flavobacterium Promotes Plant Resistance to Fusarium Wilt.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Biocontrol Microbial Inoculants SuppressPlants (Basel, Switzerland) · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Forecasting Root Rot Disease through Predictive Microbial Functional Profiling.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Article

10 more citing papers are in PubMed but not listed here.

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

7 authors at 3 institutions in 2 countries.

Yian GuJoint International Research Laboratory of Soil Health, Jiangsu Provincial Key Lab for Organic Solid Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, National Engineering Research Center for Organic-based Fertilizers, Nanjing Agricultural University, Nanjing, PR China.
Samiran BanerjeeDepartment of Microbiological Sciences, North Dakota State University, Fargo, ND, USA.
Francisco Dini-AndreoteDepartment of Plant Science, The Pennsylvania State University, University Park, PA, USA.
Yangchun XuJoint International Research Laboratory of Soil Health, Jiangsu Provincial Key Lab for Organic Solid Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, National Engineering Research Center for Organic-based Fertilizers, Nanjing Agricultural University, Nanjing, PR China.ORCID http://orcid.org/0000-0003-2740-5561
Qirong ShenJoint International Research Laboratory of Soil Health, Jiangsu Provincial Key Lab for Organic Solid Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, National Engineering Research Center for Organic-based Fertilizers, Nanjing Agricultural University, Nanjing, PR China.ORCID http://orcid.org/0000-0002-5662-9620
Alexandre JoussetJoint International Research Laboratory of Soil Health, Jiangsu Provincial Key Lab for Organic Solid Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, National Engineering Research Center for Organic-based Fertilizers, Nanjing Agricultural University, Nanjing, PR China.ORCID http://orcid.org/0000-0002-6805-2486
Zhong WeiJoint International Research Laboratory of Soil Health, Jiangsu Provincial Key Lab for Organic Solid Waste Utilization, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, National Engineering Research Center for Organic-based Fertilizers, Nanjing Agricultural University, Nanjing, PR China. weizhong@njau.edu.cn.ORCID http://orcid.org/0000-0002-7967-4897
Nanjing Agricultural University · CNNorth Dakota State University · USPennsylvania State University · US

Funding

National Natural Science Foundation of China (National Science Foundation of China) 41922053National Natural Science Foundation of China (National Science Foundation of China) 42090060
6 · The paper itself

Abstract

Even in homogeneous conditions, plants facing a soilborne pathogen tend to show a binary outcome with individuals either remaining fully healthy or developing severe to lethal disease symptoms. As the rhizosphere microbiome is a major determinant of plant health, we postulated that such a binary outcome may result from an early divergence in the rhizosphere microbiome assembly that may further cascade into varying disease suppression abilities. We tested this hypothesis by setting up a longitudinal study of tomato plants growing in a natural but homogenized soil infested with the soilborne bacterial pathogen Ralstonia solanacearum. Starting from an originally identical species pool, individual rhizosphere microbiome compositions rapidly diverged into multiple configurations during the plant vegetative growth. This variation in community composition was strongly associated with later disease development during the later fruiting state. Most interestingly, these patterns also significantly predicted disease outcomes 2 weeks before any difference in pathogen density became apparent between the healthy and diseased groups. In this system, a total of 135 bacterial OTUs were associated with persistent healthy plants. Five of these enriched OTUs (Lysinibacillus, Pseudarthrobacter, Bordetella, Bacillus, and Chryseobacterium) were isolated and shown to reduce disease severity by 30.4-100% when co-introduced with the pathogen. Overall, our results demonstrated that an initially homogenized soil can rapidly diverge into rhizosphere microbiomes varying in their ability to promote plant protection. This suggests that early life interventions may have significant effects on later microbiome states, and highlights an exciting opportunity for microbiome diagnostics and plant disease prevention.

Indexed as

MicrobiotaRhizosphereBacteriaHumansLongitudinal StudiesPlant RootsPlantsSoilSoil MicrobiologySoil

Identifiers

PMID35869387
PMCPMC9478146
OpenAlexW4286462130

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.