Evidence map›Paper›PMID 42138098›Full record

ArticlePlant, cell & environment2026

A Comparative Evaluation of Rhizosphere Metabolites Collection Methods: Impacts on Metabolic Diversity, Composition and Pathways.

Siyi Li, Yanlan Liu, Yuting Xu, Yuan Lu, Jianxiao Song, Chao Wang, Zhouping Shangguan, Weiming Yan, Yangquanwei Zhong

Abstract readComparative Study
In one paragraph

Article in Plant, cell & environment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Siyi LiShaanxi Key Laboratory of Qinling Ecological Intelligent Monitoring and Protection, School of Life Science and Technology, Northwestern Polytechnical University, Xi'an, China.
Yanlan LiuDryland Agriculture Institute, Gansu Academy of Agricultural Sciences, Lanzhou, Gansu, China.
Yuting XuShaanxi Key Laboratory of Qinling Ecological Intelligent Monitoring and Protection, School of Life Science and Technology, Northwestern Polytechnical University, Xi'an, China.
Yuan LuShaanxi Key Laboratory of Qinling Ecological Intelligent Monitoring and Protection, School of Life Science and Technology, Northwestern Polytechnical University, Xi'an, China.
Jianxiao SongShaanxi Key Laboratory of Qinling Ecological Intelligent Monitoring and Protection, School of Life Science and Technology, Northwestern Polytechnical University, Xi'an, China.ORCID https://orcid.org/0009-0007-3841-9762
Chao WangShaanxi Key Laboratory of Qinling Ecological Intelligent Monitoring and Protection, School of Life Science and Technology, Northwestern Polytechnical University, Xi'an, China.ORCID https://orcid.org/0000-0002-9336-9725
Zhouping ShangguanState Key Laboratory of Soil and Water Conservation and Desertification Control, Northwest A&F University, Yangling, Shaanxi, China.
Weiming YanState Key Laboratory of Soil and Water Conservation and Desertification Control, Northwest A&F University, Yangling, Shaanxi, China.ORCID https://orcid.org/0000-0001-5509-0806
Yangquanwei ZhongShaanxi Key Laboratory of Qinling Ecological Intelligent Monitoring and Protection, School of Life Science and Technology, Northwestern Polytechnical University, Xi'an, China.ORCID https://orcid.org/0000-0003-4713-958X

Funding

National Key Research & Development Program of China 2023YFD1901600National Natural Science Foundation of China 42577342National Natural Science Foundation of China W2412108
6 · The paper itself

Abstract

Rhizosphere metabolites play a pivotal role in plant-soil-microbe interactions, yet the absence of standardised sampling method presents challenges for data comparability and a unified understanding of rhizochemistry dynamics. In this study, the rhizosphere metabolites of spring wheat (Triticum aestivum L.) were systematically evaluated using three commonly used sampling methods - rhizosphere soil extraction, hydroponic collection, and in situ sampling. We assessed the differences in metabolite abundance, diversity, composition, and metabolic pathways among the three methods. The results revealed that rhizosphere soil extraction method is simple and repeatable, but it tends to underestimate the rare metabolic features compared to the other two methods. The hydroponic collection method offered a more comprehensive rhizochemical profile, however, it may not reflect the actual soil environment in which plants grow. The in situ method mostly captured the rhizochemical dynamics under natural conditions but was technically complex and less reproducible. Pathway enrichment of differential metabolic features showed a distinct pattern, with hydroponic emphasising plant-centric primary metabolism, and rhizosphere soil extraction and in situ methods reflecting pathways more associated with environmental interaction and ecological adaptation. Overall, our results highlight that the sampling methods significantly influences the abundance and composition of the detected rhizochemical profile, thus the rhizosphere metabolites sampling methods should be considered according to the experimental objectives of future research.

Indexed as

MetabolomeMetabolomicsRhizosphereTriticumHydroponicsMetabolic Networks and PathwaysPlant RootsSoilSoil MicrobiologySoilhydroponicsin situ samplingrhizochemistryrhizosphere metabolitesrhizosphere soiluntargeted metabolomics

Identifiers

PMID42138098
PMCPMC13436489

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.