Evidence map›Paper›PMID 42884167›Full record

ArticleInternational journal of molecular sciences2026

Untargeted Metabolomics Reveals Regional and Cultivar-Associated Metabolomic Variation in Soybeans Across Northeast China.

Jinghui Wang, Lupeng Gou, Haohai You, Feng Wang, Jie Zhu, Yinqi Wang, Zijian Xia, Zhuoduojie Kuan, Zhaohui Wang

Abstract read
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Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Jinghui WangInstitute for the Smart Agriculture, Jilin Agricultural University, Changchun 130118, China.ORCID 0000-0002-5548-356X
Lupeng GouInstitute for the Smart Agriculture, Jilin Agricultural University, Changchun 130118, China.
Haohai YouSchool of Information Science and Engineering, Northeastern University, Shenyang 110819, China.
Feng WangCollege of Information Technology, Jilin Agricultural University, Changchun 130118, China.
Jie ZhuCollege of Information Technology, Jilin Agricultural University, Changchun 130118, China.
Yinqi WangCollege of Food Science and Engineering, Jilin Agricultural University, Changchun 130118, China.
Zijian XiaCollege of Information Technology, Jilin Agricultural University, Changchun 130118, China.
Zhuoduojie KuanCollege of Information Technology, Jilin Agricultural University, Changchun 130118, China.
Zhaohui WangCollege of Food Science and Engineering, Jilin Agricultural University, Changchun 130118, China.

Funding

Jilin Agricultural University Undergraduate Student Innovation and Technology Fund Project 2024Jilin Provincial Key Science and Technology R&D Program 20180201051NYthe National Key R&D Program of China 2016YFE0202900
6 · The paper itself

Abstract

Soybean (Glycine max) quality and metabolic composition are shaped by complex interactions between genetic background and agro-ecological conditions, making metabolic characterization across major production regions valuable for germplasm evaluation and quality-oriented breeding. In this study, an untargeted liquid chromatography-mass spectrometry (LC-MS) metabolomics approach was applied to compare the mature seed metabolomes of nine representative commercial soybean cultivars sampled from two major production regions in Northeast China: Heilongjiang (HLJ, four cultivars from Harbin) and Liaoning (LN, five cultivars from Shenyang). Because region-specific cultivars were collected from a single site and seed lot per province without direct site-level meteorological or soil measurements, genotype and environment are confounded in this observational design, and the observed differences reflect the combined variation in the sampled cultivar-location cohorts. After preprocessing, 8283 features were putatively annotated (MSI Level 2/3). Multivariate statistical analyses (PCA, PLS-DA, and OPLS-DA) combined with cultivar-grouped cross-validation revealed clear metabolic separation between the sampled HLJ and LN cohorts. A total of 1485 putatively annotated metabolites (VIP > 1.0, subsample-level FDR < 0.05, fold change HLJ/LN > 2.0 or <0.5) were screened as exploratory candidate differential metabolites, with 953 exhibiting higher abundance (FC>2.0) and 532 exhibiting lower abundance (FC<0.5, i.e., higher abundance in LN) in HLJ soybeans relative to LN soybeans. Exploratory KEGG pathway mapping (based on nominal p-values, as no pathway reached FDR-adjusted q<0.05) indicated nominal enrichment in isoflavonoid biosynthesis (p=0.0043, q=0.261) and tryptophan metabolism (p=0.0093, q=0.283); specifically, sampled LN cultivar-location combinations exhibited higher steady-state abundances of isoflavones and their glycosylated derivatives, whereas sampled HLJ soybeans exhibited higher steady-state abundances of specific lipid species (unsaturated fatty acyls, sphingolipids) and tryptophan-derived indoleamines. In the absence of direct environmental measurements, potential links between these steady-state metabolic signatures and regional macroclimatic differences (such as thermal regimes or high-latitude cold stress) are proposed strictly as exploratory, literature-informed hypotheses. Overall, these findings provide preliminary candidate metabolic markers for characterizing the sampled regional soybean germplasm; however, independent validation across additional harvest years, multiple geographic sites, independent seed lots, and broader cultivar panels will be required before these candidate metabolites can be considered validated biomarkers for geographic authentication.

Indexed as

Glycine maxMetabolomeMetabolomicsChinaLiquid Chromatography-Mass SpectrometrySeedscultivar–location variationisoflavoneslipid metabolismnon-targeted metabolomicsregional metabolomic variationsoybean

Identifiers

PMID42884167
PMCPMC13665042

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