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

Author:

Jung Kie-Chul1,Kim Bo-Young1,Kim Myoung-Jin1,Kim Nam-Kuk1,Kang Jihun2,Kim Yul-Ho3,Park Hyang-Mi3,Jang Han-Sub1,Shin Hee-Chang12ORCID,Kim Tae-Jip2

Affiliation:

1. Experiment & Research Institute, National Agricultural Products Quality Management Service, Gimcheon 39660, Republic of Korea

2. Division of Animal, Horticultural and Food Sciences, Graduate School of Chungbuk National University, Cheongju 28644, Republic of Korea

3. National Institute of Crop Science, Rural Development Administration, Suwon 16429, Republic of Korea

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.

Funder

National Agricultural Products Quality Management Service

Publisher

MDPI AG

Subject

Plant Science,Health Professions (miscellaneous),Health (social science),Microbiology,Food Science

Reference26 articles.

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3. NAQS (National Agricultural Products Quality Management Service) (2022). 2022 Annual Report. 11-1543145-000037-10, National Agricultural Products Quality Management Service.

4. Discrimination of geographical origin for soybean using ED-XRF;Lee;Korean J. Food Sci. Technol.,2020

5. Rapid discrimination of the country origin of soybeans based on FT-NIR spectroscopy and data expansion;Lee;Food Anal. Methods,2022

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