Evidence map›Paper›PMID 41214130›Full record

ArticleScientific reports2025

Dynamic polyphenolic profiling of soybean seeds and leaves during developmental stages.

Kihun Ha, Vimalraj Mani, Soyoung Park, Sukhee Kim, Sichul Lee, Jae Kwang Kim, Jong Sung Lee, Jong-Yeol Lee, Soo-Kwon Park, Hye Rang Park and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Kihun HaPlant Biomaterials and Biotechnology Division, Department of Agricultural Biology, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju, Republic of Korea. khun329@korea.kr.
Vimalraj ManiPlant Biomaterials and Biotechnology Division, Department of Agricultural Biology, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju, Republic of Korea. vimalraj08@gmail.com.
Soyoung ParkPlant Biomaterials and Biotechnology Division, Department of Agricultural Biology, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju, Republic of Korea.
Sukhee KimPlant Biomaterials and Biotechnology Division, Department of Agricultural Biology, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju, Republic of Korea.
Sichul LeePlant Biomaterials and Biotechnology Division, Department of Agricultural Biology, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju, Republic of Korea.
Jae Kwang KimDivision of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon, Republic of Korea.
Jong Sung LeeDivision of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon, Republic of Korea.
Jong-Yeol LeeDigital Breeding Convergence Division, Department of Agricultural Biotechnology, Rural Development Administration, National Institute of Agricultural Sciences, Jeonju, Republic of Korea.
Soo-Kwon ParkDepartment of Upland Crop Sciences, Upland Crop Breeding Division, National Institute of Crop and Food Sciences, Rural Development Administration, Miryang, Republic of Korea.
Hye Rang ParkDepartment of Upland Crop Sciences, Upland Crop Breeding Division, National Institute of Crop and Food Sciences, Rural Development Administration, Miryang, Republic of Korea.
Jin A KimDigital Breeding Convergence Division, Department of Agricultural Biotechnology, Rural Development Administration, National Institute of Agricultural Sciences, Jeonju, Republic of Korea.
Kong-Sik ShinPlant Biomaterials and Biotechnology Division, Department of Agricultural Biology, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju, Republic of Korea.

Funding

Rural Development Administration, Republic of Korea Project No. PJ01674901
6 · The paper itself

Abstract

Soybean (Glycine max L.) is a globally important crop recognized for its high protein content and bioactive compounds, such as flavonoids and isoflavones, which contribute to its nutritional and health benefits. However, the metabolic profiles of soybean leaves at various growth stages remain underexplored. We investigated the polyphenolic (flavonoid and isoflavone) metabolite profiles in 10 genetically diverse soybean varieties across 6 leaf developmental stages and seeds. Sixteen flavonoids and isoflavones were identified through ultra-performance liquid chromatography-mass spectrometry. Data analysis, including principal component analysis, revealed metabolic differences among seed profiles. Partial least squares discriminant analysis (PLS-DA) explored metabolite changes across stages, while orthogonal PLS-DA separated vegetative and reproductive stages. Variable importance in projection scores highlighted naringenin, genistin, and kaempferol as key discriminative metabolites. Heatmap analysis showed flavonoids, particularly kaempferol glycosides, were abundant in the leaves, whereas isoflavones such as daidzin and genistin dominated seeds. Cultivars Hoseo, Sohwang, and Kwangan had the highest kaempferol glycoside levels. Correlating these metabolites with six key polyphenolic biosynthesis genes, chalcone synthase, chalcone isomerase, flavonol synthase, 2-hydroxyisoflavanone dehydratase, isoflavone 7-o-methyl transferase, and isoflavone synthase, revealed variety-specific regulation. This study provides key insights into developmental metabolite dynamics in soybeans and supports strategies to enhance soybean nutritional quality.

Indexed as

Glycine maxPlant LeavesPolyphenolsSeedsFlavonoidsIsoflavonesMetabolomeFlavonoidsIsoflavonesPolyphenolsFlavonoidsIsoflavonesSoybeanUPLC-MS/MS

Identifiers

PMID41214130
PMCPMC12603093

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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.