iTRAQ-based quantitative proteomic analysis of cotton (Gossypium hirsutum L.) leaves reveals pathways associated throughout the aging process

被引:4
|
作者
Liu, Liantao [1 ]
Li, Anchang [1 ]
Chen, Jing [2 ]
Wang, Man [1 ]
Zhang, Yongjiang [1 ]
Sun, Hongchun [1 ]
Wang, Xiaodan [1 ]
Li, Cundong [1 ]
机构
[1] Hebei Agr Univ, Coll Agron, Key Lab Crop Growth Regulat Hebei Prov, Baoding, Hebei, Peoples R China
[2] CAAS, Inst Cotton Res, Anyang, Henan, Peoples R China
基金
中国国家自然科学基金;
关键词
Cotton; iTRAQ; Leaf senescence; Proteome; Aging; NAC TRANSCRIPTION FACTOR; LEAF SENESCENCE; GENE-EXPRESSION; RICE; IDENTIFICATION; METABOLISM; YIELD;
D O I
10.1007/s11738-019-2921-y
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Leaf senescence is associated with changes in proteomics. In this study, to quantitatively analyze changes in protein abundance related to leaf senescence in cotton (Gossypium hirsutum L.), we employed a proteomic approach utilizing iTRAQ and physiological assays throughout the senescence of leaf tissue in cotton grown under typical field conditions. Physiological tests showed leaf chlorophyll content and photosynthetic rates decreased significantly throughout the aging process. A total of 195 differentially abundant proteins (DAPs) throughout leaf senescence were identified by mass spectrometry. Of these, 91 (47%) proteins were upregulated, while the remaining 104 (53%) were downregulated. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses indicated that the expression of genes in several pathways potentially associated with aging changed throughout senescence, including metabolic pathways, photosynthesis, pyruvate metabolism, nitrogen metabolism, and diterpenoid biosynthesis. Our findings provide a deeper understanding of aging in plants as well as fundamental data describing leaf senescence in cotton.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] iTRAQ-based quantitative proteomic analysis of cotton (Gossypium hirsutum L.) leaves reveals pathways associated throughout the aging process
    Liantao Liu
    Anchang Li
    Jing Chen
    Man Wang
    Yongjiang Zhang
    Hongchun Sun
    Xiaodan Wang
    Cundong Li
    Acta Physiologiae Plantarum, 2019, 41
  • [2] 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):
  • [3] iTRAQ-Based Quantitative Proteomic Analysis Reveals Cold Responsive Proteins Involved in Leaf Senescence in Upland Cotton (Gossypium hirsutum L.)
    Zheng, Xuewei
    Fan, Shuli
    Wei, Hengling
    Tao, Chengcheng
    Ma, Qiang
    Ma, Qifeng
    Zhang, Siping
    Li, Hongbin
    Pang, Chaoyou
    Yu, Shuxun
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2017, 18 (09)
  • [4] iTRAQ-based comparative proteomic analysis provides insights into somatic embryogenesis in Gossypium hirsutum L.
    Hua-Guo Zhu
    Wen-Han Cheng
    Wen-Gang Tian
    Yang-Jun Li
    Feng Liu
    Fei Xue
    Qian-Hao Zhu
    Yu-Qiang Sun
    Jie Sun
    Plant Molecular Biology, 2018, 96 : 89 - 102
  • [5] iTRAQ-based comparative proteomic analysis provides insights into somatic embryogenesis in Gossypium hirsutum L.
    Zhu, Hua-Guo
    Cheng, Wen-Han
    Tian, Wen-Gang
    Li, Yang-Jun
    Liu, Feng
    Xue, Fei
    Zhu, Qian-Hao
    Sun, Yu-Qiang
    Sun, Jie
    PLANT MOLECULAR BIOLOGY, 2018, 96 (1-2) : 89 - 102
  • [6] iTRAQ-based quantitative proteomics analysis of Brassica napus leaves reveals pathways associated with chlorophyll deficiency
    Chu, Pu
    Yan, Gui Xia
    Yang, Qing
    Zhai, Li Na
    Zhang, Cheng
    Zhang, Feng Qi
    Guan, Rong Zhan
    JOURNAL OF PROTEOMICS, 2015, 113 : 244 - 259
  • [7] Identification of early salt stress responsive proteins in seedling roots of upland cotton (Gossypium hirsutum L.) employing iTRAQ-based proteomic technique
    Li, Wu
    Zhao, Fu'an
    Fang, Weiping
    Xie, Deyi
    Hou, Jianan
    Yang, Xiaojie
    Zhao, Yuanming
    Tang, Zhongjie
    Nie, Lihong
    Lv, Shuping
    FRONTIERS IN PLANT SCIENCE, 2015, 6
  • [8] iTRAQ-based quantitative proteomic analysis of Thermobifida fusca reveals metabolic pathways of cellulose utilization
    Adav, Sunil S.
    Ng, Chee Sheng
    Sze, Siu Kwan
    JOURNAL OF PROTEOMICS, 2011, 74 (10) : 2112 - 2122
  • [9] iTRAQ-Based Differential Proteomic Analysis Reveals the Pathways Associated with Tigecycline Resistance in Acinetobacter baumannii
    Yang, Ni
    Liu, Yuan
    He, Ping
    Ke, Rui
    Zhao, Yujie
    Feng, Yanjing
    Jing, Rong
    Ma, Shuzhen
    Liu, Congrui
    Geng, Yan
    Wu, Xiaokang
    Wei, Yang
    CELLULAR PHYSIOLOGY AND BIOCHEMISTRY, 2018, 51 (03) : 1327 - 1339
  • [10] Reddening of cotton (Gossypium hirsutum L.) leaves:: analysis of the polyphenol complex
    Edreva, A.
    Dagnon, S.
    Gurel, A.
    Gesheva, E.
    Hakerlerler, H.
    AGROCHIMICA, 2006, 50 (1-2): : 54 - 61