Multi-omics integrative analysis with genome-scale metabolic model simulation reveals global cellular adaptation of Aspergillus niger under industrial enzyme production condition

被引:32
|
作者
Lu, Hongzhong [1 ]
Cao, Weiqiang [1 ]
Liu, Xiaoyun [1 ]
Sui, Yufei [1 ]
Ouyang, Liming [1 ]
Xia, Jianye [1 ]
Huang, Mingzhi [1 ]
Zhuang, Yingping [1 ]
Zhang, Siliang [1 ]
Noorman, Henk [2 ]
Chu, Ju [1 ]
机构
[1] East China Univ Sci & Technol, State Key Lab Bioreactor Engn, Shanghai 200237, Peoples R China
[2] DSM Biotechnol Ctr, POB 1, NL-2600 MA Delft, Netherlands
来源
SCIENTIFIC REPORTS | 2018年 / 8卷
关键词
CONSTRAINT-BASED MODELS; GENE-EXPRESSION; HYPOXIA; RESPIRATION; DATABASE; CARBON;
D O I
10.1038/s41598-018-32341-1
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Oxygen limitation is regarded as a useful strategy to improve enzyme production by mycelial fungus like Aspergillus niger. However, the intracellular metabolic response of A. niger to oxygen limitation is still obscure. To address this, the metabolism of A. niger was studied using multi-omics integrated analysis based on the latest GEMs (genome-scale metabolic model), including metabolomics, fluxomics and transcriptomics. Upon sharp reduction of the oxygen supply, A. niger metabolism shifted to higher redox level status, as well as lower energy supply, down-regulation of genes for fatty acid synthesis and a rapid decrease of the specific growth rate. The gene expression of the glyoxylate bypass was activated, which was consistent with flux analysis using the A. niger GEMs iHL1210. The increasing flux of the glyoxylate bypass was assumed to reduce the NADH formation from TCA cycle and benefit maintenance of the cellular redox balance under hypoxic conditions. In addition, the relative fluxes of the EMP pathway were increased, which possibly relieved the energy demand for cell metabolism. The above multi-omics integrative analysis provided new insights on metabolic regulatory mechanisms of A. niger associated with enzyme production under oxygen-limited condition, which will benefit systematic design and optimization of the A. niger microbial cell factory.
引用
收藏
页数:15
相关论文
共 8 条
  • [1] Multi-omics integrative analysis with genome-scale metabolic model simulation reveals global cellular adaptation of Aspergillus niger under industrial enzyme production condition
    Hongzhong Lu
    Weiqiang Cao
    Xiaoyun Liu
    Yufei Sui
    Liming Ouyang
    Jianye Xia
    Mingzhi Huang
    Yingping Zhuang
    Siliang Zhang
    Henk Noorman
    Ju Chu
    Scientific Reports, 8
  • [2] Integration of enzyme constraints in a genome-scale metabolic model of Aspergillus niger improves phenotype predictions
    Zhou, Jingru
    Zhuang, Yingping
    Xia, Jianye
    MICROBIAL CELL FACTORIES, 2021, 20 (01)
  • [3] Integration of enzyme constraints in a genome-scale metabolic model of Aspergillus niger improves phenotype predictions
    Jingru Zhou
    Yingping Zhuang
    Jianye Xia
    Microbial Cell Factories, 20
  • [4] Multi-Omics Integrative Analysis Coupled to Control Theory and Computational Simulation of a Genome-Scale metabolic Model Reveal Controlling Biological Switches in Human Astrocytes Under Palmitic Acid-Induced Lipotoxicity
    Angarita-Rodriguez, Andrea
    Mendoza-Mejia, Nicolas
    Gonzalez, Janneth
    Aristizabal, Andres Felipe
    Hidalgo-Lanussa, Oscar
    Rubio-Mesa, Juan J.
    Barreto, George E.
    Pinzon, Andres
    FRONTIERS IN SYSTEMS BIOLOGY, 2022, 2
  • [5] Comprehensive reconstruction and in silico analysis of Aspergillus niger genome-scale metabolic network model that accounts for 1210 ORFs
    Lu, Hongzhong
    Cao, Weiqiang
    Ouyang, Liming
    Xia, Jianye
    Huang, Mingzhi
    Chu, Ju
    Zhuang, Yingping
    Zhang, Siliang
    Noorman, Henk
    BIOTECHNOLOGY AND BIOENGINEERING, 2017, 114 (03) : 685 - 695
  • [6] Development of a Genome-Scale Metabolic Model ofClostridium thermocellumand Its Applications for Integration of Multi-Omics Datasets and Computational Strain Design
    Garcia, Sergio
    Thompson, R. Adam
    Giannone, Richard J.
    Dash, Satyakam
    Maranas, Costas D.
    Trinh, Cong T.
    FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2020, 8
  • [7] Curation and Analysis of a Saccharomyces cerevisiae Genome-Scale Metabolic Model for Predicting Production of Sensory Impact Molecules under Enological Conditions
    Scott, William T., Jr.
    Smid, Eddy J.
    Notebaart, Richard A.
    Block, David E.
    PROCESSES, 2020, 8 (09)
  • [8] Genome-Scale Metabolic Model's multi-objective solving algorithm based on the inflexion point of Pareto front including maximum energy utilization and its application in Aspergillus niger DS03043
    Fan, Xingcun
    Zhou, Jingru
    Xia, Jianye
    Yan, Xuefeng
    BIOTECHNOLOGY AND BIOENGINEERING, 2022, 119 (06) : 1539 - 1555