Evidence map›Paper›PMID 41214302›Full record

ArticleCommunications biology2025

Metabolome-driven microbiome assembly in ginger (Zingiber officinale) enhances nutrient cycling and crop yield through keystone taxa.

Wenbo Wang, Wenxing He, Yaoxing Zhang, Xia Wang, Jialin Li, Xiujun Zhang, Beibei Chu, Yanshun Nie, Nayanci Portal-Gonzalez, Ramon Santos-Bermudez

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

10 authors.

Wenbo WangSchool of Biological Science and Technology, University of Jinan, Jinan, Shandong, People's Republic of China.
Wenxing HeSchool of Biological Science and Technology, University of Jinan, Jinan, Shandong, People's Republic of China.
Yaoxing ZhangSchool of Biological Science and Technology, University of Jinan, Jinan, Shandong, People's Republic of China.ORCID http://orcid.org/0009-0009-6300-4213
Xia WangSchool of Biological Science and Technology, University of Jinan, Jinan, Shandong, People's Republic of China.
Jialin LiSchool of Biological Science and Technology, University of Jinan, Jinan, Shandong, People's Republic of China.
Xiujun ZhangSchool of Biological Science and Technology, University of Jinan, Jinan, Shandong, People's Republic of China.
Beibei ChuAgriculture and Rural Affairs, Bureau of Changyi, Weifang, Shandong, People's Republic of China.
Yanshun NieFengtang Ecological Agriculture Technology Research and Development (Shandong) Co.Ltd., Taian, China.
Nayanci Portal-GonzalezSchool of Biological Science and Technology, University of Jinan, Jinan, Shandong, People's Republic of China. bio_nayanci@ujn.edu.cn.ORCID http://orcid.org/0000-0003-4183-8101
Ramon Santos-BermudezSchool of Biological Science and Technology, University of Jinan, Jinan, Shandong, People's Republic of China. bio_ramon@ujn.edu.cn.ORCID http://orcid.org/0000-0003-2459-8759

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32201546
6 · The paper itself

Abstract

Plant microbiomes shape crop performance, but the mechanisms by which host-derived metabolites influence the recruitment and organisation of beneficial microbes-and how these affect crop yield-remain poorly understood. Few studies have linked multi-kingdom microbiome structure, metabolite profiles, and agronomic traits under field conditions. We integrated 16S rRNA and ITS amplicon sequencing with untargeted LC-MS/MS metabolomics across 36 samples from two Zingiber officinale (ginger) cultivars with contrasting yields. Bacterial communities were primarily shaped by stochastic processes (neutral model R² = 0.67-0.68), while fungal assembly was deterministic (βNTI < -2 in roots and rhizomes). The high-yield cultivar exhibited more complex co-occurrence networks (596 vs. 272 edges) and enrichment of keystone taxa, including Talaromyces and Devosia. Metabolomic profiling identified 586 unique compounds, with 24 enriched pathways in the high-yield cultivar, notably isoflavonoid biosynthesis and folate metabolism. Key host metabolites-Niazimin A and 1-oleoyl-lysophosphatidic acid-showed strong positive correlations (r > 0.75, P < 0.01) with nitrogen-fixing and growth-promoting microbes, whereas Oxindole correlated negatively. These findings suggest that host metabolic shifts and keystone microbes co-regulate microbiome structure and nutrient cycling. Our results provide mechanistic insight into microbiome-mediated yield differences and a basis for microbiome-informed crop design.

Indexed as

Crops, AgriculturalMetabolomeMicrobiotaZingiber officinaleBacteriaPlant RootsRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID41214302
PMCPMC12603305

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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.