iTRAQ-based quantitative proteomic analysis of the global response to 17β-estradiol in estrogen-degradation strain Pseudomonas putida SJTE-1.
Microorganism degradation is efficient to remove the steroid hormones like 17β-estradiol (E2); but their degradation mechanism and metabolic network to these chemicals are still not very clear. Here the global responses of the estrogen-degradation strain Pseudomonas putida SJTE-1 to 17β-estradiol and glucose were analyzed and compared using the iTRAQ (isobaric tags for relative and absolute quantization) strategy combined with LC-MS/MS (liquid chromatography-tandem mass spectrometry). 78 proteins were identified with significant changes in expression; 45 proteins and 33 proteins were up-regulated and down-regulated, respectively. These proteins were mainly involved in the processes of stress response, energy metabolism, transportation, chemotaxis and cell motility, and carbon metabolism, considered probably responding to 17β-estradiol and playing a role in its metabolism. The up-regulated proteins in electron transfer, energy generation and transport systems were thought crucial for efficient uptake, translocation and transformation of 17β-estradiol. The over-expression of carbon metabolism proteins indicated cells may activate related pathway members to utilize 17β-estradiol. Meanwhile, proteins functioning in glucose capture and metabolism were mostly down-regulated. These findings provide important clues to reveal the 17β-estradiol degradation mechanism in P. putida and promote its bioremediation applications.
State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiaotong University, 800 Dongchuan Road, Shanghai 200240, China.
Jing
J
Xu
School of Life Sciences, Fudan University, Shanghai 200433, China.
Lei
L
Zhang
Instrumental Analysis Center of Shanghai Jiaotong University, 800 Dong-Chuan Road, Shanghai 200240, China.
Jingli
J
Hou
State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiaotong University, 800 Dongchuan Road, Shanghai 200240, China.
Xiuli
X
Wang
State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiaotong University, 800 Dongchuan Road, Shanghai 200240, China.
Huan
H
Liu
State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiaotong University, 800 Dongchuan Road, Shanghai 200240, China.
Daning
D
Zheng
State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiaotong University, 800 Dongchuan Road, Shanghai 200240, China.
Rubing
R
Liang
D002853:Chromatography, Liquid; D056148:Chromatography, Reverse-Phase; D019295:Computational Biology / Q000379:methods; D004958:Estradiol / Q000494:pharmacology*; D004967:Estrogens / Q000378:metabolism*; D020869:Gene Expression Profiling; D015964:Gene Expression Regulation, Bacterial / Q000187:drug effects; D005947:Glucose / Q000378:metabolism; D058977:Molecular Sequence Annotation; D025941:Protein Interaction Mapping; D060066:Protein Interaction Maps; D020543:Proteome; D040901:Proteomics / Q000379:methods; D016958:Pseudomonas putida / Q000187:drug effects* / Q000235:genetics / Q000378:metabolism*; D053719:Tandem Mass Spectrometry
D004967:Estrogens; D020543:Proteome; D004958:Estradiol; D005947:Glucose