Construction and application of high-quality genome-scale metabolic model of Zymomonas mobilis to guide rational design of microbial cell factories

被引:5
作者
Wu, Yalun [1 ]
Yuan, Qianqian [2 ]
Yang, Yongfu [1 ,3 ,4 ]
Liu, Defei [2 ]
Yang, Shihui [1 ]
Ma, Hongwu [2 ]
机构
[1] Hubei Univ, Sch Life Sci, State Key Lab Biocatalysis & Enzyme Engn, Wuhan 430062, Hubei, Peoples R China
[2] Chinese Acad Sci, Tianjin Inst Ind Biotechnol, Biodesign Ctr, Key Lab Syst Microbial Biotechnol, Tianjin 300308, Peoples R China
[3] Hubei Univ, Fac Math & Stat, Hubei Key Lab Appl Math, Wuhan 430062, Hubei, Peoples R China
[4] Hubei Univ, Sch Comp Sci & Informat Engn, Artificial Intelligence & Knowledge Engn Lab, Wuhan 430062, Hubei, Peoples R China
基金
中国国家自然科学基金;
关键词
Genome-scale metabolic models (GEMSs); Non -model industrial microorganism; Zymomonas mobilis; Biolog phenotype microarray; Succinate; 4-Butanediol; ESCHERICHIA-COLI; RECONSTRUCTION; GROWTH;
D O I
10.1016/j.synbio.2023.07.001
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
High-quality genome-scale metabolic models (GEMs) could play critical roles on rational design of microbial cell factories in the classical Design-Build-Test-Learn cycle of synthetic biology studies. Despite of the constant establishment and update of GEMs for model microorganisms such as Escherichia coli and Saccharomyces cer-evisiae, high-quality GEMs for non-model industrial microorganisms are still scarce. Zymomonas mobilis subsp. mobilis ZM4 is a non-model ethanologenic microorganism with many excellent industrial characteristics that has been developing as microbial cell factories for biochemical production. Although five GEMs of Z. mobilis have been constructed, these models are either generating ATP incorrectly, or lacking information of plasmid genes, or not providing standard format file. In this study, a high-quality GEM iZM516 of Z. mobilis ZM4 was constructed. The information from the improved genome annotation, literature, datasets of Biolog Phenotype Microarray studies, and recently updated Gene-Protein-Reaction information was combined for the curation of iZM516. Finally, 516 genes, 1389 reactions, 1437 metabolites, and 3 cell compartments are included in iZM516, which also had the highest MEMOTE score of 91% among all published GEMs of Z. mobilis. Cell growth was then predicted by iZM516, which had 79.4% agreement with the experimental results of the substrate utilization. In addition, the potential endogenous succinate synthesis pathway of Z. mobilis ZM4 was proposed through simu-lation and analysis using iZM516. Furthermore, metabolic engineering strategies to produce succinate and 1,4-butanediol (1,4-BDO) were designed and then simulated under anaerobic condition using iZM516. The results indicated that 1.68 mol/mol succinate and 1.07 mol/mol 1,4-BDO can be achieved through combinational metabolic engineering strategies, which was comparable to that of the model species E. coli. Our study thus not only established a high-quality GEM iZM516 to help understand and design microbial cell factories for economic biochemical production using Z. mobilis as the chassis, but also provided guidance on building accurate GEMs for other non-model industrial microorganisms.
引用
收藏
页码:498 / 508
页数:11
相关论文
共 57 条
  • [1] eQuilibrator 3.0: a database solution for thermodynamic constant estimation
    Beber, Moritz E.
    Gollub, Mattia G.
    Mozaffari, Dana
    Shebek, Kevin M.
    Flamholz, Avi, I
    Milo, Ron
    Noor, Elad
    [J]. NUCLEIC ACIDS RESEARCH, 2022, 50 (D1) : D603 - D609
  • [2] Phenotype MicroArray Profiling of Zymomonas mobilis ZM4
    Bochner, Barry
    Gomez, Vanessa
    Ziman, Michael
    Yang, Shihui
    Brown, Steven D.
    [J]. APPLIED BIOCHEMISTRY AND BIOTECHNOLOGY, 2010, 161 (1-8) : 116 - 123
  • [3] Distinct functional roles for hopanoid composition in the chemical tolerance of Zymomonas mobilis
    Brenac, Lea
    Baidoo, Edward E. K.
    Keasling, Jay D.
    Budin, Itay
    [J]. MOLECULAR MICROBIOLOGY, 2019, 112 (05) : 1564 - 1575
  • [4] RASTtk: A modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes
    Brettin, Thomas
    Davis, James J.
    Disz, Terry
    Edwards, Robert A.
    Gerdes, Svetlana
    Olsen, Gary J.
    Olson, Robert
    Overbeek, Ross
    Parrello, Bruce
    Pusch, Gordon D.
    Shukla, Maulik
    Thomason, James A., III
    Stevens, Rick
    Vonstein, Veronika
    Wattam, Alice R.
    Xia, Fangfang
    [J]. SCIENTIFIC REPORTS, 2015, 5
  • [5] Development of a commercial scale process for production of 1,4-butanediol from sugar
    Burgard, Anthony
    Burk, Mark J.
    Osterhout, Robin
    Van Dien, Stephen
    Yim, Harry
    [J]. CURRENT OPINION IN BIOTECHNOLOGY, 2016, 42 : 118 - 125
  • [6] The MetaCyc database of metabolic pathways and enzymes - a 2019 update
    Caspi, Ron
    Billington, Richard
    Keseler, Ingrid M.
    Kothari, Anamika
    Krummenacker, Markus
    Midford, Peter E.
    Ong, Wai Kit
    Paley, Suzanne
    Subhraveti, Pallavi
    Karp, Peter D.
    [J]. NUCLEIC ACIDS RESEARCH, 2020, 48 (D1) : D445 - D453
  • [7] BRENDA, the ELIXIR core data resource in 2021: new developments and updates
    Chang, Antje
    Jeske, Lisa
    Ulbrich, Sandra
    Hofmann, Julia
    Koblitz, Julia
    Schomburg, Ida
    Neumann-Schaal, Meina
    Jahn, Dieter
    Schomburg, Dietmar
    [J]. NUCLEIC ACIDS RESEARCH, 2021, 49 (D1) : D498 - D508
  • [8] Genome-scale modeling of yeast metabolism: retrospectives and perspectives
    Chen, Yu
    Li, Feiran
    Nielsen, Jens
    [J]. FEMS YEAST RESEARCH, 2022, 22 (01)
  • [9] Achievements and Perspectives in 1,4-Butanediol Production from Engineered Microorganisms
    Cheng, Jie
    Li, Juan
    Zheng, Linggang
    [J]. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2021, 69 (36) : 10480 - 10485
  • [10] COBRApy: COnstraints-Based Reconstruction and Analysis for Python']Python
    Ebrahim, Ali
    Lerman, Joshua A.
    Palsson, Bernhard O.
    Hyduke, Daniel R.
    [J]. BMC SYSTEMS BIOLOGY, 2013, 7