Cited by 32Microbial Metabolic Engineering and BioproductionGene Regulatory Network AnalysisBioinformatics and Genomic Networks

Construction and Analysis of an Enzyme-Constrained Metabolic Model of Corynebacterium glutamicum

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Niu, Jinhui, Mao, Zhitao, Mao, Yufeng, Wu, Ke, Shi, Zhenkun, Yuan, Qianqian, Cai, Jingyi, Ma, Hongwu·2022·Biomolecules

Published version of a preprint

Abstract

The genome-scale metabolic model (GEM) is a powerful tool for interpreting and predicting cellular phenotypes under various environmental and genetic perturbations. However, GEM only considers stoichiometric constraints, and the simulated growth and product yield values will show a monotonic linear increase with increasing substrate uptake rate, which deviates from the experimentally measured values. Recently, the integration of enzymatic constraints into stoichiometry-based GEMs was proven to be effective in making novel discoveries and predicting new engineering targets. Here, we present the first genome-scale enzyme-constrained model (ecCGL1) for Corynebacterium glutamicum reconstructed by integrating enzyme kinetic data from various sources using a ECMpy workflow based on the high-quality GEM of C. glutamicum (obtained by modifying the iCW773 model). The enzyme-constrained model improved the prediction of phenotypes and simulated overflow metabolism, while also recapitulating the trade-off between biomass yield and enzyme usage efficiency. Finally, we used the ecCGL1 to identify several gene modification targets for l-lysine production, most of which agree with previously reported genes. This study shows that incorporating enzyme kinetic information into the GEM enhances the cellular phenotypes prediction of C. glutamicum, which can help identify key enzymes and thus provide reliable guidance for metabolic engineering.

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Authors
Niu, J., Mao, Z., Mao, Y., Wu, K., Shi, Z., Yuan, Q., Cai, J., & Ma, H.
Affiliations
  • University of Science and Technology of China (CN)
  • Chinese Academy of Sciences (CN)
Corresponding author
  • Mao, Zhitao
  • Ma, Hongwu
Venue
Biomolecules
Publisher
MDPI AG
Published
2022-10-17
Volume
12
Issue
10
Pages
1499
ISSN
2218-273X (ISSN-L)
OpenAlex
W4306651296
Cited by
32
References
63
Citations by year
2026: 6 · 2025: 9 · 2024: 12 · 2023: 4 · 2022: 1
FWCI
2.12
Type
journal article
Language
en
Open access
Locations
  • Biomolecules (publishedVersion, cc-by)
  • Preprints.org (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Key Research and Development Program of China (2018YFA0900300, NSFC-32101186, 21908239, TSBICIP-PTJS-001, 153D31KYSB20170121)
  • National Natural Science Foundation of China (2018YFA0900300, NSFC-32101186, 21908239, TSBICIP-PTJS-001, 153D31KYSB20170121)
  • Tianjin Synthetic Biotechnology Innovation Capacity Improvement Project (2018YFA0900300, NSFC-32101186, 21908239, TSBICIP-PTJS-001, 153D31KYSB20170121)
  • International Partnership Program of Chinese Academy of Sciences (2018YFA0900300, NSFC-32101186, 21908239, TSBICIP-PTJS-001, 153D31KYSB20170121)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
Keywords
Corynebacterium glutamicum, genome-scale metabolic models, enzyme kinetics, overflow metabolism, biomass yield, L-lysine production, metabolic engineering targets
MeSH terms
Lysine, Corynebacterium glutamicum, Metabolic Engineering

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