Effects of genotype and environment on the nutrient and metabolic profiles of soybeans genetically modified with epidermal growth factor or thioredoxin compared with conventional soybeans

Ye Jin Kim, Young Jin Park, Sung Dug Oh, Jeong Su Yoon, Jae Geun Kim, Ju Seok Seo, Jung Ho Park, Chang Gi Kim, Soo Yun Park, Soon Ki Park, Man Soo Choi, Jae Kwang Kim

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Genetically modified (GM) soybean events CT-4025 and CT-1001, which contain genes encoding thioredoxin and epidermal growth factor, respectively, have previously been developed for use in cosmetic materials. In this study, compositional analyses and metabolic profiling were carried out to assess the unintended effects on the composition of metabolites between GM soybeans and non-GM soybeans. The soybeans were cultivated in 2016 and 2017 in two regions (Ochang and Jeonju) in the Republic of Korea. Statistical analyses were performed using univariate and multivariate methods. Results from the compositional analysis showed that the compositional variation in the tested GM varieties was within the range of conventional varieties. Furthermore, the results of multivariate analysis revealed that the growing year had a much stronger effect on soybean composition than did the growing site or genotypes. In the case of soybeans harvested in 2016, the levels of most amino acids decreased while those of secondary metabolites and sucrose increased, indicating that water stress due to low rainfall in 2016 induced metabolic changes. These results suggest that environmental factors have a major impact on the composition of GM and non-GM soybeans. We further demonstrated that metabolic approaches are useful for investigating the environmental change-induced metabolic network in GM crops intended for use in cosmetic materials.

Original languageEnglish
Article number114229
JournalIndustrial Crops and Products
Volume175
DOIs
StatePublished - Jan 2022

Keywords

  • Epidermal growth factor
  • Genetically modified soybean
  • Metabolic profiling
  • Multivariate analysis
  • Thioredoxin

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