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2019
DOI: 10.1186/s13765-019-0425-5
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Global metabolite profiling based on GC–MS and LC–MS/MS analyses in ABF3-overexpressing soybean with enhanced drought tolerance

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 elementbinding 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 … Show more

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Cited by 30 publications
(21 citation statements)
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“…Osmotic stress activates ABA biosynthesis and inhibits ABA degradation (Fernando and Schroeder, 2016;Nam et al, 2019;Seo et al, 2019). Furthermore, it is known that the Salt Overly Sensitive (SOS) signaling pathway plays an important role in salt stress tolerance and ion homeostasis (Zhu, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Osmotic stress activates ABA biosynthesis and inhibits ABA degradation (Fernando and Schroeder, 2016;Nam et al, 2019;Seo et al, 2019). Furthermore, it is known that the Salt Overly Sensitive (SOS) signaling pathway plays an important role in salt stress tolerance and ion homeostasis (Zhu, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Although cultivation of transgenic crops is not yet allowed in South Korea, large amounts of transgenic crops are imported for food and feed; in 2018, South Korea imported 1.0 million tons of transgenic soybeans [4]. In addition, various transgenic soybeans have been developed and their performance has been tested in experimental fields in South Korea [5][6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%
“…Processed binning results were imported to SIMCA 15.0.2, and the principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), and orthogonal partial least squares discriminant analysis (OPLS-DA) were analyzed. PCA is an unsupervised method for checking the distribution of samples [13]. In the PCA score plot, WG and BG were clearly separated from each other and from TG and RG.…”
Section: Resultsmentioning
confidence: 99%