Metabolic impact assessment for heterologous protein production in Streptomyces lividans based on genome-scale metabolic network modeling

被引:8
|
作者
Lule, Ivan [1 ]
D'Huys, Pieter-Jan [1 ]
Van Mellaert, Lieve [2 ]
Anne, Jozef [2 ]
Bernaerts, Kristel [1 ]
Van Impe, Jan [1 ]
机构
[1] Katholieke Univ Leuven, Dept Chem Engn, Chem & Biochem Proc Technol & Control Sect BioTeC, B-3001 Louvain, Belgium
[2] Katholieke Univ Leuven, Dept Microbiol & Immunol, Lab Mol Bacteriol, B-3001 Louvain, Belgium
关键词
Streptomyces lividans; (geometric) Flux balance analysis; Mouse tumor necrosis factor (mTNF-alpha); Heterologous proteins; Genome-scale metabolic network; FLUX BALANCE ANALYSIS; NECROSIS-FACTOR-ALPHA; ESCHERICHIA-COLI; SECRETION; OVEREXPRESSION; COELICOLOR;
D O I
10.1016/j.mbs.2013.08.006
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The metabolic impact exerted on a microorganism due to heterologous protein production is still poorly understood in Streptomyces lividans. In this present paper, based on exometabolomic data, a proposed genome-scale metabolic network model is used to assess this metabolic impact in S. lividans. Constraint-based modeling results obtained in this work revealed that the metabolic impact due to heterologous protein production is widely distributed in the genome of S. lividans, causing both slow substrate assimilation and a shift in active pathways. Exchange fluxes that are critical for model performance have been identified for metabolites of mouse tumor necrosis factor, histidine, valine and lysine, as well as biomass. Our results unravel the interaction of heterologous protein production with intracellular metabolism of S. lividans, thus, a possible basis for further studies in relieving the metabolic burden via metabolic or bioprocess engineering. (C) 2013 Published by Elsevier Inc.
引用
收藏
页码:113 / 121
页数:9
相关论文
共 50 条
  • [1] Genome-scale metabolic flux analysis of Streptomyces lividans growing on a complex medium
    D'Huys, Pieter-Jan
    Lule, Ivan
    Vercammen, Dominique
    Anne, Jozef
    Van Impe, Jan F.
    Bernaerts, Kristel
    JOURNAL OF BIOTECHNOLOGY, 2012, 161 (01) : 1 - 13
  • [2] Enhancement of rapamycin production by metabolic engineering in Streptomyces hygroscopicus based on genome-scale metabolic model
    Dang, Lanqing
    Liu, Jiao
    Wang, Cheng
    Liu, Huanhuan
    Wen, Jianping
    JOURNAL OF INDUSTRIAL MICROBIOLOGY & BIOTECHNOLOGY, 2017, 44 (02) : 259 - 270
  • [3] Genome-scale modeling for metabolic engineering
    Simeonidis, Evangelos
    Price, Nathan D.
    JOURNAL OF INDUSTRIAL MICROBIOLOGY & BIOTECHNOLOGY, 2015, 42 (03) : 327 - 338
  • [4] Applications of genome-scale metabolic network model in metabolic engineering
    Kim, Byoungjin
    Kim, Won Jun
    Kim, Dong In
    Lee, Sang Yup
    JOURNAL OF INDUSTRIAL MICROBIOLOGY & BIOTECHNOLOGY, 2015, 42 (03) : 339 - 348
  • [5] Dynamic genome-scale metabolic modeling of the yeast Pichia pastoris
    Saitua, Francisco
    Torres, Paulina
    Ricardo Perez-Correa, Jose
    Agosin, Eduardo
    BMC SYSTEMS BIOLOGY, 2017, 11
  • [6] Metabolic Determinants of Enzyme Evolution in a Genome-Scale Bacterial Metabolic Network
    Aguilar-Rodriguez, Jose
    Wagner, Andreas
    GENOME BIOLOGY AND EVOLUTION, 2018, 10 (11): : 3076 - 3088
  • [7] Genome-scale metabolic network guided engineering of Streptomyces tsukubaensis for FK506 production improvement
    Huang, Di
    Li, Shanshan
    Xia, Menglei
    Wen, Jianping
    Jia, Xiaoqiang
    MICROBIAL CELL FACTORIES, 2013, 12
  • [8] New Insights on Metabolic Features of Bacillus subtilis Based on Multistrain Genome-Scale Metabolic Modeling
    Blazquez, Blas
    San Leon, David
    Rojas, Antonia
    Tortajada, Marta
    Nogales, Juan
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2023, 24 (08)
  • [9] Machine learning for the advancement of genome-scale metabolic modeling
    Kundu, Pritam
    Beura, Satyajit
    Mondal, Suman
    Das, Amit Kumar
    Ghosh, Amit
    BIOTECHNOLOGY ADVANCES, 2024, 74
  • [10] Genome-Scale Metabolic Reconstruction of Actinomycetes for Antibiotics Production
    Mohite, Omkar S.
    Weber, Tilmann
    Kim, Hyun Uk
    Lee, Sang Yup
    BIOTECHNOLOGY JOURNAL, 2019, 14 (01)