Evidence map›Paper›PMID 40632756›Full record

ArticlePloS one2025

Comparative non-targeted metabolomics reveals distinct metabolic profiles and functional traits in six mung bean (Vigna radiata) varieties.

Xinting Shen, Huifang Shen, Fei Wang, Yao Wang, Rui Zhao, Zhebin Li, Ye Zhou, Xinmiao Yao

Abstract readComparative Study
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xinting ShenFood Processing Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, China.ORCID https://orcid.org/0009-0004-7937-5661
Huifang ShenFood Processing Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, China.
Fei WangFood Processing Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, China.
Yao WangFood Processing Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, China.
Rui ZhaoFood Processing Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, China.
Zhebin LiFood Processing Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, China.
Ye ZhouFood Processing Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, China.
Xinmiao YaoFood Processing Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate the metabolic differences among six mung bean (Vigna radiata) varieties cultivated in Heilongjiang Province, China, using non-targeted metabolomics based on high-resolution mass spectrometry. Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were employed to explore and distinguish the metabolomic profiles across different varieties. A total of 547 metabolites were identified, including fatty acids (9.69%), phenolic acids (7.86%), amino acids and derivatives (5.12%), among others. PCA revealed that the first two principal components (t[1] and t[2]) accounted for 20.1% and 17.0% of the total variance, respectively, indicating significant differentiation among varieties. Differential metabolite analysis demonstrated that GLD07_03 was enriched in defense-related compounds such as lignans, terpenoid lactones, and methyl salicylate, suggesting enhanced antibacterial and antioxidant capacity. BL13_1 showed higher metabolic activity in glycolysis and the mevalonate pathway, with L-lactic acid and mevalonate levels 57.2% and 33.8% higher than those in GLD07_03. NL2_1 and NL4_1 accumulated high levels of amino acids (e.g., L-aspartic acid, increased by 161%), nucleosides, and flavonoids, contributing to superior antioxidant potential. T1114111_1 exhibited higher levels of fatty acids and alkaloids (e.g., trigonelline, increased by 25.2%), associated with improved membrane stability and antibacterial activity. JL13_1 displayed elevated levels of D-proline and (7Z,10Z)-7,10-hexadecadienoic acid (increased by 26.5% and 34.8%, respectively), suggesting advantages in osmotic regulation and membrane homeostasis. These findings reveal distinct metabolite profiles and biochemical traits among mung bean varieties, providing valuable insights for varietal identification, nutritional evaluation, and breeding for enhanced stress tolerance. The study also offers a scientific basis for the development of functional mung bean products and future breeding strategies focused on metabolic traits.

Indexed as

MetabolomeMetabolomicsVignaAmino AcidsFatty AcidsPrincipal Component AnalysisAmino AcidsFatty Acids

Identifiers

PMID40632756
PMCPMC12240329

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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.