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@ARTICLE{Feierabend:902446,
      author       = {Feierabend, Martina and Renz, Alina and Zelle, Elisabeth
                      and Nöh, Katharina and Wiechert, Wolfgang and Dräger,
                      Andreas},
      title        = {{H}igh-{Q}uality {G}enome-{S}cale {R}econstruction of
                      {C}orynebacterium glutamicum {ATCC} 13032},
      journal      = {Frontiers in microbiology},
      volume       = {12},
      issn         = {1664-302X},
      address      = {Lausanne},
      publisher    = {Frontiers Media},
      reportid     = {FZJ-2021-04268},
      pages        = {750206},
      year         = {2021},
      abstract     = {Corynebacterium glutamicum belongs to the microbes of
                      enormous biotechnological relevance. In particular, its
                      strain ATCC 13032 is a widely used producer of L-amino acids
                      at an industrial scale. Its apparent robustness also turns
                      it into a favorable platform host for a wide range of
                      further compounds, mainly because of emerging bio-based
                      economies. A deep understanding of the biochemical processes
                      in C. glutamicum is essential for a sustainable enhancement
                      of the microbe's productivity. Computational systems biology
                      has the potential to provide a valuable basis for driving
                      metabolic engineering and biotechnological advances, such as
                      increased yields of healthy producer strains based on
                      genome-scale metabolic models (GEMs). Advanced
                      reconstruction pipelines are now available that facilitate
                      the reconstruction of GEMs and support their manual
                      curation. This article presents iCGB21FR, an updated and
                      unified GEM of C. glutamicum ATCC 13032 with high quality
                      regarding comprehensiveness and data standards, built with
                      the latest modeling techniques and advanced reconstruction
                      pipelines. It comprises 1042 metabolites, 1539 reactions,
                      and 805 genes with detailed annotations and database
                      cross-references. The model validation took place using
                      different media and resulted in realistic growth rate
                      predictions under aerobic and anaerobic conditions. The new
                      GEM produces all canonical amino acids, and its phenotypic
                      predictions are consistent with laboratory data. The in
                      silico model proved fruitful in adding knowledge to the
                      metabolism of C. glutamicum: iCGB21FR still produces
                      L-glutamate with the knock-out of the enzyme pyruvate
                      carboxylase, despite the common belief to be relevant for
                      the amino acid's production. We conclude that integrating
                      high standards into the reconstruction of GEMs facilitates
                      replicating validated knowledge, closing knowledge gaps, and
                      making it a useful basis for metabolic engineering.},
      cin          = {IBG-1},
      ddc          = {570},
      cid          = {I:(DE-Juel1)IBG-1-20101118},
      pnm          = {2172 - Utilization of renewable carbon and energy sources
                      and engineering of ecosystem functions (POF4-217)},
      pid          = {G:(DE-HGF)POF4-2172},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {34867870},
      UT           = {WOS:000726141400001},
      doi          = {10.3389/fmicb.2021.750206},
      url          = {https://juser.fz-juelich.de/record/902446},
}