Literature DB >> 31261005

Quantitative proteomics analysis reveals proteins and pathways associated with anthocyanin accumulation in barley.

Guoqiang Zhang1, Wenhua Xue2, Jie Dai3, Qijun Xu4, Yulin Wang4, Hongjun Yuan4, Kun Yang5, Yiman Qi6, Xingquan Zeng7, Tashi Nyima8.   

Abstract

The aim of the present study was to explore the underlying mechanisms involved in anthocyanin biosynthesis in purple, blue, and white barley using quantitative proteomics analysis. We identified the differences in protein expression and related functions involved in anthocyanin biosynthesis in purple, blue, and white barley (named H, M, and L groups, respectively, based on their anthocyanin content) using TMT-liquid chromatography/mass spectroscopy-based proteomic methods. Totally, 297, 300, 254, and 1421 differentially expressed proteins (DEPs) were found in H vs. L, H vs. M, L vs. M, and H vs. L vs. M groups, respectively. Six clusters of proteins from the 1421 DEPs were mainly involved in carbon metabolism, amino acid and secondary metabolite biosynthesis, and metabolic pathways. Several proteins were validated using parallel reaction monitoring. The proteins involved in amino acid biosynthesis, carbon metabolism, metabolic pathways, and phenylpropanoid biosynthesis were responsible for the color differences in the three barley varieties.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Anthocyanin; Color; Highland barley; Quantitative proteomics

Mesh:

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Year:  2019        PMID: 31261005     DOI: 10.1016/j.foodchem.2019.124973

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  5 in total

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Authors:  Yawen Zeng; Xiaoying Pu; Juan Du; Xiaomeng Yang; Xia Li; Md Siddikun Nabi Mandal; Tao Yang; Jiazhen Yang
Journal:  Oxid Med Cell Longev       Date:  2020-03-30       Impact factor: 6.543

2.  Distribution of β-Glucan, Phenolic Acids, and Proteins as Functional Phytonutrients of Hull-Less Barley Grain.

Authors:  Gordana Šimić; Daniela Horvat; Alojzije Lalić; Daliborka Koceva Komlenić; Ivan Abičić; Zvonimir Zdunić
Journal:  Foods       Date:  2019-12-13

3.  Changes on proteomic and metabolomic profile in serum of mice induced by chronic exposure to tramadol.

Authors:  Shukun Jiang; Guojie Liu; Huiya Yuan; Enyu Xu; Wei Xia; Xiaoyu Zhang; Junting Liu; Lina Gao
Journal:  Sci Rep       Date:  2021-01-14       Impact factor: 4.379

4.  Tandem Mass Tag-Based Quantitative Proteome Analysis of Porcine Deltacoronavirus (PDCoV)-Infected LLC Porcine Kidney Cells.

Authors:  Xiang Gao; Liping Zhang; Peng Zhou; Yongguang Zhang; Yanming Wei; Yonglu Wang; Xinsheng Liu
Journal:  ACS Omega       Date:  2020-08-27

5.  Proteomics study on the protective mechanism of soybean isoflavone against inflammation injury of bovine mammary epithelial cells induced by Streptococcus agalactiae.

Authors:  Hui Niu; Hua Zhang; Fuxin Wu; Benhai Xiong; Jinjin Tong; Linshu Jiang
Journal:  Cell Stress Chaperones       Date:  2020-08-31       Impact factor: 3.667

  5 in total

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