Evidence map›Paper›PMID 41735400›Full record

ArticleScientific reports2026

Fusarium wilt disease induced changes in the composition and function of the rhizosphere metabolome and microbiome in tobacco plants.

Lin Yang, Wenjuan Yang, Honghao Zhang, Lingfeng Li, Jiaxin Liu, Mei Li, Rubing Xu, Haibo Xiang, Yanyan Li, Yong Yang

Abstract read
In one paragraph

Article in Scientific reports, 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

10 authors.

Lin Yang *State Key Laboratory of Biocatalysis and Enzyme Engineering, College of Life Sciences, Hubei University, Wuhan, 430062, China.
Wenjuan Yang *Hubei Provincial Key Laboratory of Occurrence and Intervention of Kidney Diseases, Hubei Provincial Engineering Research Center of Immunotherapy Drugs for Renal Tumors, School of Medicine, Hubei Polytechnic University, Huangshi, 435003, China.
Honghao ZhangState Key Laboratory of Biocatalysis and Enzyme Engineering, College of Life Sciences, Hubei University, Wuhan, 430062, China.
Lingfeng LiState Key Laboratory of Biocatalysis and Enzyme Engineering, College of Life Sciences, Hubei University, Wuhan, 430062, China.
Jiaxin LiuState Key Laboratory of Biocatalysis and Enzyme Engineering, College of Life Sciences, Hubei University, Wuhan, 430062, China.
Mei LiState Key Laboratory of Biocatalysis and Enzyme Engineering, College of Life Sciences, Hubei University, Wuhan, 430062, China.
Rubing XuTobacco Research Institute of Hubei Province, Wuhan, 430030, China.
Haibo XiangState Key Laboratory of Biocatalysis and Enzyme Engineering, College of Life Sciences, Hubei University, Wuhan, 430062, China. xhb2086@hubu.edu.cn.
Yanyan LiTobacco Research Institute of Hubei Province, Wuhan, 430030, China. yanyanli0025@126.com.
Yong YangState Key Laboratory of Biocatalysis and Enzyme Engineering, College of Life Sciences, Hubei University, Wuhan, 430062, China. yangyong@hubu.edu.cn.

Funding

Hubei Provincial Tobacco Corporation Key Technology Project 027Y2022-023Natural Science Foundation of Hubei Province JCZRYB202500821the China National Tobacco Corporation Key Technology Projects 110202401013 (LS-03), 110202101047 (LS-07), 110202201019 (LS-03)
6 · The paper itself

Abstract

Tobacco Fusarium wilt (TFW), caused by Fusarium spp., is a destructive disease affecting tobacco crops and resulting in significant economic losses. The current chemical fungicide-based management strategy poses a risk of resistance development in pathogens. In order to identify key factors in the tobacco rhizosphere for sustainable TFW control, untargeted metabolomics and microbiomics were conducted to analyze the key metabolites and microbes between healthy and diseased rhizosphere soils. The results revealed a total of 65 differential metabolites (DMs), with 40 upregulated and 25 downregulated were identified in the diseased group. Among these, Aesculin, 8-Deoxy-11-hydroxy-13-chlorogrosheimin, and N-Gluconyl ethanolamine phosphate were identified as key DMs exhibiting a strong negative correlation with healthy soil status. The microbiome analysis revealed that bacterial diversity (OTUs: 3278 vs. 3039; Shannon: 6.72 vs. 6.65) and fungal diversity (OTUs: 919 vs. 701; Shannon: 3.91 vs. 3.44) were significantly higher in healthy soils. Furthermore, co-occurrence networks in healthy soils were larger and more stable, with bacteria comprising 431 nodes compared to 405 in diseased soils, and fungi comprising 112 nodes compared to 101 in diseased soils. Additionally, the analysis of the microbial community assembly process revealed that deterministic processes dominated microbial assembly in healthy soils during the first 75 d, subsequently shifting toward stochastic processes. In contrast, diseased soils exhibited a consistently deterministic assembly. Furthermore, we observed that variations in soil types influenced the distribution of key microbial groups. Chloroflexi, Bryobacter, Bacillus, Preussia, and Tausonia, were enriched in healthy soils while Lysobacter, Arthrobacter, Fusarium, and Lectera were dominated in diseased soils. The combined analysis results indicated that the three key DMs correlated positively with disease-enriched microbes but negatively with health-associated taxa. This study provides insights into the changes in and microbe-metabolite interactions within the tobacco rhizosphere under pathogen stress and supports the future development of TFW control strategies based on key metabolites and microbes.

Indexed as

FusariumMetabolomeMicrobiotaNicotianaPlant DiseasesRhizosphereBacteriaMetabolomicsSoil MicrobiologyDiseased-healthyFusarium wiltMetabolomeMicrobiomeSoil type

Identifiers

PMID41735400
PMCPMC13031670

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.