Evidence map›Paper›PMID 38137303›Full record

ArticleFoods (Basel, Switzerland)2023

Development of a Gene-Based Soybean-Origin Discrimination Method Using Allele-Specific Polymerase Chain Reaction.

Kie-Chul Jung, Bo-Young Kim, Myoung-Jin Kim, Nam-Kuk Kim, Jihun Kang, Yul-Ho Kim, Hyang-Mi Park, Han-Sub Jang, Hee-Chang Shin, Tae-Jip Kim

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2023. 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
1.2field-weighted citation impact, top 15% of its field
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, 3 citations in OpenAlex.

  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

10 authors at 2 institutions in 1 country.

Kie-Chul JungExperiment & Research Institute, National Agricultural Products Quality Management Service, Gimcheon 39660, Republic of Korea.
Bo-Young KimExperiment & Research Institute, National Agricultural Products Quality Management Service, Gimcheon 39660, Republic of Korea.
Myoung-Jin KimExperiment & Research Institute, National Agricultural Products Quality Management Service, Gimcheon 39660, Republic of Korea.
Nam-Kuk KimExperiment & Research Institute, National Agricultural Products Quality Management Service, Gimcheon 39660, Republic of Korea.
Jihun KangDivision of Animal, Horticultural and Food Sciences, Graduate School of Chungbuk National University, Cheongju 28644, Republic of Korea.
Yul-Ho KimNational Institute of Crop Science, Rural Development Administration, Suwon 16429, Republic of Korea.
Hyang-Mi ParkNational Institute of Crop Science, Rural Development Administration, Suwon 16429, Republic of Korea.
Han-Sub JangExperiment & Research Institute, National Agricultural Products Quality Management Service, Gimcheon 39660, Republic of Korea.
Hee-Chang ShinExperiment & Research Institute, National Agricultural Products Quality Management Service, Gimcheon 39660, Republic of Korea.ORCID 0000-0002-0600-4972
Tae-Jip KimDivision of Animal, Horticultural and Food Sciences, Graduate School of Chungbuk National University, Cheongju 28644, Republic of Korea.
Chungbuk National University · KRRural Development Administration · KR

Funding

National Agricultural Products Quality Management Service NAQS-Origin-08
6 · The paper itself

Abstract

A low soybean self-sufficiency rate in South Korea has caused a high import dependence and considerable price variation between domestic and foreign soybeans, causing the false labeling of foreign soybeans as domestic. Conventional soybean origin discrimination methods prevent a single-grain analysis and rely on the presence or absence of several compounds or concentration differences. This limits the origin discrimination of mixed samples, demonstrating the need for a method that analyzes individual grains. Therefore, we developed a method for origin discrimination using genetic analysis. The whole-genome sequencing data of the Williams 82 reference cultivar and 15 soybean varieties cultivated in South Korea were analyzed to identify the dense variation blocks (dVBs) with a high single-nucleotide polymorphism density. The PCR primers were prepared and validated for the insertion-deletion (InDel) sequences of the dVBs to discriminate each soybean variety. Our method effectively discriminated domestic and foreign soybean varieties, eliminating their false labeling.

Indexed as

genetic markersorigin discriminationsingle-nucleotide polymorphismsoybeanwhole-genome sequencing

Identifiers

PMID38137303
PMCPMC10743066
OpenAlexW4389882917

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.