Evidence map›Paper›PMID 38229154›Full record

ArticleEnvironmental microbiome2024

Bacterial wilt affects the structure and assembly of microbial communities along the soil-root continuum.

Jinchang Liang, Chengjian Wei, Xueru Song, Rui Wang, Heli Shi, Jun Tan, Dejie Cheng, Wenjing Wang, Xiaoqiang Wang

Open access · goldAbstract read
In one paragraph

Article in Environmental microbiome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
9.0field-weighted citation impact, top 2% 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

14 citing papers in PubMed, 15 citations in OpenAlex.

  1. Effects ofMicrobiology spectrum · 2026
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  2. Draft genome sequence ofMicrobiology resource announcements · 2026
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  3. Article
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  6. Review
  7. Drivers of rhizosphere bacterial communities inFrontiers in microbiology · 2026
    Article
  8. Article
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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

9 authors at 2 institutions in 1 country.

Jinchang LiangKey Laboratory of Tobacco Pest Monitoring & Integrated Management, Tobacco Research Institute of Chinese Academy of Agricultural Sciences, 266101, Qingdao, China.
Chengjian WeiKey Laboratory of Tobacco Pest Monitoring & Integrated Management, Tobacco Research Institute of Chinese Academy of Agricultural Sciences, 266101, Qingdao, China.
Xueru SongEngineering Center for Biological Control of Diseases and Pests in Tobacco Industry, 653100, Yuxi, China.
Rui WangEnshi Tobacco Science and Technology Center, 445000, Enshi, China.
Heli ShiEnshi Tobacco Science and Technology Center, 445000, Enshi, China.
Jun TanEnshi Tobacco Science and Technology Center, 445000, Enshi, China.
Dejie ChengCollege of Agriculture, Guangxi University, 530004, Nanning, China.
Wenjing WangKey Laboratory of Tobacco Pest Monitoring & Integrated Management, Tobacco Research Institute of Chinese Academy of Agricultural Sciences, 266101, Qingdao, China.
Xiaoqiang WangKey Laboratory of Tobacco Pest Monitoring & Integrated Management, Tobacco Research Institute of Chinese Academy of Agricultural Sciences, 266101, Qingdao, China. wangxiaoqiang@caas.cn.
Chinese Academy of Agricultural Sciences · CNGuangxi University · CN

Funding

Agricultural Science and Technology Innovation Program of China ASTIP-TRIC04Central Public-interest Scientific Institution Basal Research Fund No. 1610232023018Key Laboratory of Tobacco Pest Monitoring & Integrated Management KLTMMIMT2022-09Major Tobacco Science and Technology Projects 110202101054(LS-14)Major Tobacco Science and Technology Projects YXYC2022008
6 · The paper itself

Abstract

backgroundBeneficial root-associated microbiomes play crucial roles in enhancing plant growth and suppressing pathogenic threats, and their application for defending against pathogens has garnered increasing attention. Nonetheless, the dynamics of microbiome assembly and defense mechanisms during pathogen invasion remain largely unknown. In this study, we aimed to investigate the diversity and assembly of microbial communities within four niches (bulk soils, rhizosphere, rhizoplane, and endosphere) under the influence of the bacterial plant pathogen Ralstonia solanacearum.

resultsOur results revealed that healthy tobacco plants exhibited more diverse community compositions and more robust co-occurrence networks in root-associated niches compared to diseased tobacco plants. Stochastic processes (dispersal limitation and drift), rather than determinism, dominated the assembly processes, with a higher impact of drift observed in diseased plants than in healthy ones. Furthermore, during the invasion of R. solanacearum, the abundance of Fusarium genera, a known potential pathogen of Fusarium wilt, significantly increased in diseased plants. Moreover, the response strategies of the microbiomes to pathogens in diseased and healthy plants diverged. Diseased microbiomes recruited beneficial microbial taxa, such as Streptomyces and Bacilli, to mount defenses against pathogens, with an increased presence of microbial taxa negatively correlated with the pathogen. Conversely, the potential defense strategies varied across niches in healthy plants, with significant enrichments of functional genes related to biofilm formation in the rhizoplane and antibiotic biosynthesis in the endosphere.

conclusionOur study revealed the varied community composition and assembly mechanism of microbial communities between healthy and diseased tobacco plants along the soil-root continuum, providing new insights into niche-specific defense mechanisms against pathogen invasions. These findings may underscore the potential utilization of different functional prebiotics to enhance plants' ability to fend off pathogens.

Indexed as

Assembly mechanismsFunctional profileMicrobiome

Identifiers

PMID38229154
PMCPMC10792853
OpenAlexW4390908248

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LicenceCC BY
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Registered trials

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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.