iTRAQ-based quantitative proteomic analysis of salt stress in Spica Prunellae

被引:22
|
作者
Liu, Zixiu [1 ,2 ,3 ,4 ]
Zou, Lisi [1 ,2 ,3 ]
Chen, Cuihua [1 ,2 ,3 ]
Zhao, Hui [1 ,2 ,3 ]
Yan, Ying [1 ,2 ,3 ]
Wang, Chengcheng [1 ,2 ,3 ]
Liu, Xunhong [1 ,2 ,3 ]
机构
[1] Nanjing Univ Chinese Med, Coll Pharm, Nanjing, Jiangsu, Peoples R China
[2] Collaborat Innovat Ctr Chinese Med Resources Ind, Nanjing, Jiangsu, Peoples R China
[3] Natl & Local Collaborat Engn Ctr Chinese Med Reso, Nanjing, Jiangsu, Peoples R China
[4] 454 Hosp PLA, Dept Pharm, Nanjing, Jiangsu, Peoples R China
关键词
RESPONSIVE PROTEINS; IN-VIVO; TOLERANCE; EXTRACT; LEAVES; WATER; HOMEOSTASIS; EXPRESSION; EFFICIENCY; TURNOVER;
D O I
10.1038/s41598-019-46043-9
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Spica Prunellae is an important Chinese herbal medicine. Because of its good curative effect on various diseases, this herb is consumed in large quantities in clinical applications. The metabolites of Spica Prunellae are known to change under salt stress; however, the difference in protein levels of Spica Prunellae between saline and normal conditions is unclear. In this study, we used proteomics techniques to identify differentially expressed proteins in Spica Prunellae under different saline conditions. (iTRAQ) MS/ MS was used to detect statistically significant changes in protein between salt stress and normal conditions. Ultimately, we detected 1,937 proteins, 89 of which were detected in two different comparison. Based on GO, STRING and KEGG analyses, 35 significantly differentially expressed proteins were selected for further analysis. The results of functional and signal pathway analyses indicated that the cellular protein and carbohydrate metabolism of Spica Prunellae was weaker, calcium ion transport was higher, photosynthesis was higher, and protein production was faster under saline conditions than under normal conditions. This study provides useful information for studying the causes of differences in secondary metabolites in Spica Prunellae under salt stress and the protein mechanisms related to their quality.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] iTRAQ-based quantitative proteomic analysis of salt stress in Spica Prunellae
    Zixiu Liu
    Lisi Zou
    Cuihua Chen
    Hui Zhao
    Ying Yan
    Chengcheng Wang
    Xunhong Liu
    Scientific Reports, 9
  • [2] iTRAQ-based quantitative proteomic analysis of wheat roots in response to salt stress
    Jiang, Qiyan
    Li, Xiaojuan
    Niu, Fengjuan
    Sun, Xianjun
    Hu, Zheng
    Zhang, Hui
    PROTEOMICS, 2017, 17 (08)
  • [3] iTRAQ-based quantitative proteomic analysis of the response of Hylotelephium erythrostictum leaves to salt stress
    Zhao, Xueqi
    Chen, Zhixin
    Leng, Pingsheng
    Hu, Zenghui
    SCIENTIA HORTICULTURAE, 2020, 264
  • [4] iTRAQ-based quantitative proteomic analysis of dark-germinated soybeans in response to salt stress
    Yin, Yongqi
    Qi, Fei
    Gao, Lu
    Rao, Shengqi
    Yang, Zhenquan
    Fang, Weiming
    RSC ADVANCES, 2018, 8 (32): : 17905 - 17913
  • [5] iTRAQ-Based Quantitative Proteomic Analysis of Cotton Roots and Leaves Reveals Pathways Associated with Salt Stress
    Chen, Tingting
    Zhang, Lei
    Shang, Haihong
    Liu, Shaodong
    Peng, Jun
    Gong, Wankui
    Shi, Yuzhen
    Zhang, Siping
    Li, Junwen
    Gong, Juwu
    Ge, Qun
    Liu, Aiying
    Ma, Huijuan
    Zhao, Xinhua
    Yuan, Youlu
    PLOS ONE, 2016, 11 (02):
  • [6] Analysis of the Prunellae Spica transcriptome under salt stress
    Liu, Zixiu
    Hua, Yujiao
    Wang, Shengnan
    Liu, Xunhong
    Zou, Lisi
    Chen, Cuihua
    Zhao, Hui
    Yan, Ying
    PLANT PHYSIOLOGY AND BIOCHEMISTRY, 2020, 156 : 314 - 322
  • [7] iTRAQ-based quantitative proteomic analysis of cervical cancer
    Ding, Yibing
    Yang, Min
    She, Sha
    Min, Haiyan
    Xv, Xiaoming
    Ran, Xiaoping
    Wu, Yongzheng
    Wang, We
    Wang, Lei
    Yi, Long
    Yang, Yixuan
    Gao, Qian
    INTERNATIONAL JOURNAL OF ONCOLOGY, 2015, 46 (04) : 1748 - 1758
  • [8] iTRAQ-Based Quantitative Proteomic Analysis of Nasopharyngeal Carcinoma
    Cai, Xin-Zhang
    Zeng, Wei-Qun
    Xiang, Yi
    Liu, Yi
    Zhang, Hong-Min
    Li, Hong
    She, Sha
    Yang, Min
    Xia, Kun
    Peng, Shi-Fang
    JOURNAL OF CELLULAR BIOCHEMISTRY, 2015, 116 (07) : 1431 - 1441
  • [9] iTRAQ-based quantitative proteomic analysis of herbicide stress in Avena ludoviciana Durieu
    Adim, Hossein
    Fahmideh, Leila
    Fakheri, Barat Ali
    Zarrini, Hamid Najafi
    Sasanfar, Hamidreza
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [10] ITRAQ-based quantitative proteomic analysis of japonica rice seedling during cold stress
    Qing, Dongjin
    Deng, Guofu
    Pan, Yinghua
    Gao, Lijun
    Liang, Haifu
    Zhou, Weiyong
    Chen, Weiwei
    Li, Jingcheng
    Huang, Juan
    Gao, Ju
    Lu, Chunju
    Wu, Hao
    Liu, Kaiqiang
    Dai, Gaoxing
    BREEDING SCIENCE, 2022, 72 (02) : 150 - 168