Evidence map›Paper›PMID 41829877›Full record

ReviewPlants (Basel, Switzerland)2026

Unveiling Plant Metabolic Diversity: Integrating Metabolomics with Multi-Omics Approaches for Crop Improvement.

Xin Song, Bing-Liang Fan, Xixiong Hong, Peipei Su, Minshan Sun

Abstract readReview
In one paragraph

Review in Plants (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. 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

5 authors.

Xin SongSchool of Life Science and Environmental Resources, Yichun University, Yichun 336000, China.
Bing-Liang FanState Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Science and Technology, Guangxi University, Nanning 530004, China.
Xixiong HongSchool of Life Science and Environmental Resources, Yichun University, Yichun 336000, China.
Peipei SuSchool of Life Science and Environmental Resources, Yichun University, Yichun 336000, China.
Minshan SunCollege of Plant Protection, Henan Agricultural University, Zhengzhou 450002, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics, representing the biochemical phenotype of cells or tissues, serves as an intrinsic factor underlying the differences in plant traits. Recent advances in multi-omics technologies have significantly deepened our understanding of plant metabolic diversity, enabling researchers to dissect complex biochemical networks at unprecedented levels of detail. This review explores the integration of metabolomics with genomics, transcriptomics, proteomics, epigenomics, microbiomics, and other omics approaches, emphasizing the power of these combined approaches in unraveling the molecular mechanisms underlying plant adaptation, stress resistance, and phenotypic variation. Through a critical analysis of representative case studies across diverse crops, we demonstrate how multi-omics strategies facilitate the identification of key metabolic pathways and regulatory networks for crop improvement. We also discuss current challenges in data integration, metabolite coverage, and the functional characterization of unknown compounds, and propose future directions for overcoming these limitations. Addressing these challenges will require both the enhanced resolution and sensitivity of analytical techniques, as well as more robust frameworks for data integration and interpretation. By overcoming these challenges, the convergence of metabolomics with other omics disciplines will continue to expand our understanding of plant biology, offering novel insights and innovation in crop breeding and sustainable agriculture.

Indexed as

crop improvementintegrative analysismetabolite regulationmetabolomicsmulti-omics

Identifiers

PMID41829877
PMCPMC12986834

What OpenQuestion holds

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LicenceCC BY
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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.