Reconstruction and analysis of a genome-scale metabolic model of Methylovorus sp MP688, a high-level pyrroloquinolone quinone producer

被引:3
作者
Zou, Wei [1 ]
Xiong, Xianghua [2 ]
Zhang, Jing [1 ]
Zhang, Kaizheng [1 ]
Zhao, Xingxiu [1 ]
Zhao, Changqing [1 ]
机构
[1] Sichuan Univ Sci & Engn, Coll Bioengn, 180 Xueyuan Rd, Zigong 643000, Sichuan, Peoples R China
[2] Beijing Inst Biotechnol, Lab Microorganism Engn, 20 Dongdajie, Beijing 100071, Peoples R China
关键词
Methylovorus; Genome-scale metabolic model; Methanol metabolism; Pyrroloquinolone quinone; CONSTRAINT-BASED MODELS; PREDICTION; PATHWAYS; GENES;
D O I
10.1016/j.biosystems.2018.07.009
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Methylovorus sp. MP688 is a methylotrophic bacterium that can be used as a pyrroloquinolone quinone (PQQ) producer. To obtain a comprehensive understanding of its metabolic capabilities, we constructed a genome-scale metabolic model (tWZ583) of Methylovorus sp. MP688, based on its genome annotations, data from public metabolic databases, and literature mining. The model includes 772 reactions, 764 metabolites, and 583 genes. Growth of Methylovorus sp. MP688 was simulated using different carbon and nitrogen sources, and the results were consistent with experimental data. A core metabolic essential gene set of 218 genes was predicted by gene essentiality analysis on minimal medium containing methanol. Based on in silico predictions, the addition of aspartate to the medium increased PQQ production by 4.6-fold. Deletion of three reactions associated with four genes (MPQ_1150, MPQ_1560, MPQ_1561, MPQ_1562) was predicted to yield a PQQ production rate of 0.123 mmol/gDW/h, while cell growth decreased by 2.5%. Here, model iWZ583 represents a useful platform for understanding the phenotype of Methylovorus sp. MP688 and improving PQQ production.
引用
收藏
页码:37 / 42
页数:6
相关论文
共 28 条
  • [21] Genome-Scale Metabolic Model Reconstruction and Investigation into the Fluxome of the Fast-Growing Cyanobacterium Synechococcus sp. PCC 11901
    Ravindran, Somdutt
    Hajinajaf, Nima
    Kundu, Pritam
    Comes, Jackson
    Nielsen, David R.
    Varman, Arul M.
    Ghosh, Amit
    ACS SYNTHETIC BIOLOGY, 2024, 13 (10): : 3281 - 3294
  • [22] Reconstruction and analysis of the genome-scale metabolic model of schizochytrium limacinum SR21 for docosahexaenoic acid production
    Chao Ye
    Weihua Qiao
    Xiaobin Yu
    Xiaojun Ji
    He Huang
    Jackie L. Collier
    Liming Liu
    BMC Genomics, 16
  • [23] Reconstruction, verification and in-silico analysis of a genome-scale metabolic model of bacterial cellulose producing Komagataeibacter xylinus
    Mohammad Rezazadeh
    Valiollah Babaeipour
    Ehsan Motamedian
    Bioprocess and Biosystems Engineering, 2020, 43 : 1017 - 1026
  • [24] Reconstruction of a genome-scale metabolic model and in-silico flux analysis of Aspergillus tubingensis: a non-mycotoxinogenic citric acid-producing fungus
    Kaushal, Mehak
    Upton, Daniel J.
    Gupta, Jai K.
    Wood, A. Jamie
    Srivastava, Shireesh
    BIOTECHNOLOGY FOR BIOFUELS AND BIOPRODUCTS, 2024, 17 (01):
  • [25] Reconstruction and analysis of a genome-scale metabolic model of the vitamin C producing industrial strain Ketogulonicigenium vulgare WSH-001
    Zou, Wei
    Liu, Liming
    Zhang, Jing
    Yang, Haoru
    Zhou, Maoda
    Hua, Qiang
    Chen, Jian
    JOURNAL OF BIOTECHNOLOGY, 2012, 161 (01) : 42 - 48
  • [26] Genomic sequencing, genome-scale metabolic network reconstruction, and in silico flux analysis of the grape endophytic fungus Alternaria sp. MG1
    Yao Lu
    Chao Ye
    Jinxin Che
    Xiaoguang Xu
    Dongyan Shao
    Chunmei Jiang
    Yanlin Liu
    Junling Shi
    Microbial Cell Factories, 18
  • [27] Genomic sequencing, genome-scale metabolic network reconstruction, and in silico flux analysis of the grape endophytic fungus Alternaria sp. MG1
    Lu, Yao
    Ye, Chao
    Che, Jinxin
    Xu, Xiaoguang
    Shao, Dongyan
    Jiang, Chunmei
    Liu, Yanlin
    Shi, Junling
    MICROBIAL CELL FACTORIES, 2019, 18 (1)
  • [28] Reconstruction and validation of genome-scale metabolic model of L. lactis subsp. lactis NCDO 2118 and in silico analysis for succinate and Gamma-aminobutyric acid overproduction
    Ardalani, Omid
    Motamedian, Ehsan
    Hamedi, Javad
    BIOCHEMICAL ENGINEERING JOURNAL, 2021, 170