Global metabolite profiling based on GC-MS and LC-MS/MS analyses in ABF3-overexpressing soybean with enhanced drought tolerance

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Title
Global metabolite profiling based on GC-MS and LC-MS/MS analyses in ABF3-overexpressing soybean with enhanced drought tolerance
Author(s)
Kyong Hee Nam; Do Young Kim; Hye Jin Kim; In Soon Pack; H J Kim; Y S Chung; S Y Kim; Chang-Gi Kim
Bibliographic Citation
Applied Biological Chemistry, vol. 62, pp. 15-15
Publication Year
2019
Abstract
Abscisic acid (ABA) is a phytohormone that plays an important role in the adaptive responses to abiotic stresses. We examined the metabolic changes in transgenic soybean that over-expressed Arabidopsis ABA responsive element-binding factor 3 (ABF3), which participates in drought tolerance. Transgenic and non-transgenic plants were exposed to a water deficit, and their metabolic differences were verified by untargeted GC-MS and LC-MS/MS analyses. A total of 64 and 476 primary and secondary metabolites from leaf extracts were identified based on GC-MS and LC-MS/MS platforms, respectively. Principal component analysis derived from both GC-MS and LC-MS/MS data showed a clearly greater separation in the metabolite profiles among three different degrees of drought stress. However, no discrimination of metabolites between transgenic and non-transgenic plants was apparent. Furthermore, except for some free amino acids, quantitative differences in relative levels of those metabolites were less than 50% between genotypes. These results suggest that, during periods of drought, overexpression of ABF3 in transgenic soybean might result in a negligible variance in primary and secondary metabolism when compared with its non-transgenic counterpart.
Keyword
Abscisic acidAbscisic acid-responsive element-binding factor 3DroughtGas chromatographymass spectrometryLiquid chromatographytandem mass spectrometryMetaboliteSoybean (Glycine max)
ISSN
2468-0834
Publisher
Springer
DOI
http://dx.doi.org/10.1186/s13765-019-0425-5
Type
Article
Appears in Collections:
Ochang Branch Institute > Division of Bioinfrastructure > Bio-Evaluation Center > 1. Journal Articles
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