Evidence map›Paper›PMID 39922984›Full record

ArticleMolecular biotechnology2026

Unraveling the Rhubarb (Rheum officinale Baill.) Root and Rhizosphere Microbial Communities in Response to Pathogen Exposure.

Ruiting Xu, Wenxi Chen, Sihui Chen, Xueshi Wang, Jin Xu, Yuejin Zhang, Yatuan Ma

Abstract read
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In one paragraph

Article in Molecular biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Ruiting XuCollege of Chemistry and Pharmacy, Northwest A&F University, Yangling, Shaanxi, China.
Wenxi ChenCollege of Chemistry and Pharmacy, Northwest A&F University, Yangling, Shaanxi, China.
Sihui ChenDepartment of Ecological Environmental Engineering, Yangling Vocational and Technical College, Yangling, Shaanxi, China.
Xueshi WangZhenba County Lijian Traditional Chinese Medicine Professional Cooperative, Hanzhong, Shaanxi, China.
Jin XuZhenba County Science and Technology Progress Promotion Center, Hanzhong, Shaanxi, China.
Yuejin ZhangCollege of Life Science, Northwest A&F University, Yangling, Shaanxi, China.
Yatuan MaCollege of Chemistry and Pharmacy, Northwest A&F University, Yangling, Shaanxi, China. yatuanma@nwsuaf.edu.cn.ORCID http://orcid.org/0009-0005-3903-2485

Funding

Collaborative Innovation Center for Water Treatment Technology and Materials L2023-ZDKJ-QCY-SXGG-GY-013Department of Science and Technology of Shaanxi Province and the Bureau of Science 2024QCY-KXJ-105
6 · The paper itself

Abstract

This study investigated the microbial community composition and structure in healthy and diseased rhubarb (Rheum rhabarbarum) root systems, examining both root tissue and rhizosphere environments. Alpha diversity analysis revealed significantly higher microbial abundance in the rhizosphere compared to root tissues, with notable differences between healthy and diseased plants. Principal coordinate analysis demonstrated that bacterial community composition was primarily influenced by ecological niches (47.5% variation explained), whereas fungal communities segregated based on plant health status. Network analysis revealed increased bacterial community complexity in diseased plants rhizosphere (579 nodes, 13,016 edges) compared to healthy plants (542 nodes, 8700 edges), while fungal networks showed opposite trends with significant reduction in diseased conditions (147 nodes, 30 edges vs. 205 nodes, 418 edges). Correlation analysis identified significant associations between specific microbial taxa and soil properties, with notable positive correlations between certain bacteria (Oscillospirales) and fungi (Barnettozyma, Mortierella) with soil organic matter and nutrient availability. Pathogenic taxa, including Fusarium and members of Burkholderiales, showed negative correlations with beneficial microorganisms, suggesting potential antagonistic relationships. These findings provide crucial insights into the complex interactions within the rhubarb root microbiome and their implications for plant health, contributing to our understanding of root rot disease dynamics and potential management strategies.

Indexed as

MicrobiotaPlant DiseasesPlant RootsRheumRhizosphereBacteriaFungiSoil MicrobiologyEndosphere microbiotaRhizosphere microbiotaRhubarbRoot rot

Identifiers

What OpenQuestion 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 OpenQuestion graph.