Literature DB >> 31585397

Metabolomics characterizes metabolic changes of Apocyni Veneti Folium in response to salt stress.

Cuihua Chen1, Huimin Liu2, Chengcheng Wang2, Zixiu Liu2, Xunhong Liu3, Lisi Zou2, Hui Zhao2, Ying Yan2, Jingjing Shi2, Shuyu Chen2.   

Abstract

Apocyni Veneti Folium (AVF) has been raised great interest in the antioxidant properties recently for the preservation of human health. However, little research was found on the integrate metabolites except our previous investigation on the variations of the bioactive constituents. To understand the salt-tolerant mechanisms of the halophyte, metabolomic platform based on ultra-fast liquid chromatography tandem triple time-of-flight mass/mass spectrometer was applied in this study. The results showed that metabolic profiles were separated and differentiated among groups based on multivariate statistical analysis; different metabolites belonged to various chemical classes. Besides, phenylpropanoid pathway and terpenoid biosynthesis were disturbed in all salt-stressed AVF and low salt-treated group appeared to be better than other samples in terms of relative contents (peak areas) of the wide variety of bioactive components and physiological variations of photosynthetic pigments, osmotic homeostasis, lipid peroxidation product and antioxidative enzymes. This study may provide additional insight into the salt-tolerant mechanisms and the quality assessment of AVF in a holistic level based on the plant metabolomics.
Copyright © 2019 Elsevier Masson SAS. All rights reserved.

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Keywords:  Apocyni Veneti Folium; Biosynthesis pathway; Metabolomics; Multivariate statistical analysis; UFLC-Triple TOF-MS/MS analysis

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Year:  2019        PMID: 31585397     DOI: 10.1016/j.plaphy.2019.09.043

Source DB:  PubMed          Journal:  Plant Physiol Biochem        ISSN: 0981-9428            Impact factor:   4.270


  1 in total

1.  Integrated Physiological, Transcriptomic, and Metabolomic Analyses Revealed Molecular Mechanism for Salt Resistance in Soybean Roots.

Authors:  Jie Jin; Jianfeng Wang; Keke Li; Shengwang Wang; Juan Qin; Guohong Zhang; Xiaofan Na; Xiaomin Wang; Yurong Bi
Journal:  Int J Mol Sci       Date:  2021-11-27       Impact factor: 5.923

  1 in total

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