iTRAQ-based quantitative proteomic analysis of Thermobifida fusca reveals metabolic pathways of cellulose utilization

被引:27
|
作者
Adav, Sunil S. [1 ]
Ng, Chee Sheng [1 ]
Sze, Siu Kwan [1 ]
机构
[1] Nanyang Technol Univ, Sch Biol Sci, Div Chem Biol & BioTechnol, Singapore 637551, Singapore
关键词
Thermobifida fusca; Cellulose; Hydrolysis; Biodegradation; iTRAQ; TRANSFER-RNA-SYNTHETASE; THERMOMONOSPORA-FUSCA; ESCHERICHIA-COLI; GENOME SEQUENCE; LIGNOCELLULOSIC BIOMASS; STREPTOMYCES-LIVIDANS; CRYSTAL-STRUCTURE; CLONING; EXPRESSION; GENE;
D O I
10.1016/j.jprot.2011.05.038
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Thermobifida fusca is an aerobic, thermophilic, cellulose degrading bacterium identified in heated organic materials. This study applied iTRAQ quantitative proteomic analysis to the cellular and membrane proteomes of T. fusca grown in presence and absence of cellulose to elucidate the cellular processes induced by cellulose nutrient. Using an iTRAQ-based quantitative proteomic approach, 783 cytosolic and 181 membrane proteins expressed during cellulose hydrolysis were quantified with <= 1% false discovery rate. The comparative iTRAQ quantification revealed considerable induction in the expression levels and up-regulation of specific proteins in cellulosic medium than non-cellulosic medium. The regulated proteins in cellulosic medium were grouped under central carbohydrate metabolism such as glycolysis/gluconeogenesis, pentose phosphate pathways, citric acid cycle, starch, sugars, pyruvate, propanoate and butanoate metabolism; energy metabolism that includes oxidative phosphorylation, nitrogen, methane and sulfur metabolism; fatty acid metabolism, amino acid metabolic pathways, purine and pyrimidine metabolism, and main cellular genetic information processing functions like replication, transcription, translation, and cell wall synthesis; and environmental information processing (membrane transport and signal transduction). The results demonstrated cellulose induced several metabolic pathways during cellulose utilization. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:2112 / 2122
页数:11
相关论文
共 50 条
  • [41] iTRAQ-Based Quantitative Proteomic Analysis Reveals Proteomic Changes in Mycelium of Pleurotus ostreatus in Response to Heat Stress and Subsequent Recovery
    Zou, Yajie
    Zhang, Meijing
    Qu, Jibin
    Zhang, Jinxia
    FRONTIERS IN MICROBIOLOGY, 2018, 9
  • [42] 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
  • [43] iTRAQ-based Quantitative Proteomic Analysis of Dural Tissues Reveals Upregulated Haptoglobin to be a Potential Biomarker of Moyamoya Disease
    Zhang, Xiaojun
    Yin, Lin
    Jia, Xiaofang
    Zhang, Yujiao
    Liu, Tiefu
    Zhang, Lijun
    CURRENT PROTEOMICS, 2021, 18 (01) : 27 - 37
  • [44] 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):
  • [45] ITRAQ-Based Quantitative Proteomic Analysis of Heart in a Rat Model of Exhaustive Training
    Liu, Haiyan
    Cao, Xuebin
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2015, 66 (16) : C30 - C30
  • [46] iTRAQ-based quantitative proteomic analysis provides insight for molecular mechanism of neuroticism
    Lei Tian
    Hong-Zhao You
    Hao Wu
    Yu Wei
    Min Zheng
    Lei He
    Jin-Ying Liu
    Shu-Zhen Guo
    Yan Zhao
    Ren-Lai Zhou
    Xingang Hu
    Clinical Proteomics, 2019, 16
  • [47] iTRAQ-based quantitative proteomic analysis of Pelteobagrus vachelli liver in response to hypoxia
    Wang, Min
    Liao, Shujia
    Fu, Zhineng
    Zang, Xuechun
    Yin, Shaowu
    Wang, Tao
    JOURNAL OF PROTEOMICS, 2022, 251
  • [48] 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)
  • [49] iTRAQ-Based Quantitative Proteomic Analysis of the Potentiated and Dormant Antler Stem Cells
    Dong, Zhen
    Ba, Hengxing
    Zhang, Wei
    Coates, Dawn
    Li, Chunyi
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2016, 17 (11)
  • [50] iTRAQ-based quantitative subcellular proteomic analysis of Avibirnavirus-infected cells
    Sun, Yanting
    Hu, Boli
    Fan, Chengfei
    Jia, Lu
    Zhang, Yina
    Du, Aifang
    Zheng, Xiaojuan
    Zhou, Jiyong
    ELECTROPHORESIS, 2015, 36 (14) : 1596 - 1611