% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Stella:866813,
      author       = {Stella, Roberto G. and Wiechert, Johanna and Noack, Stephan
                      and Frunzke, Julia},
      title        = {{E}volutionary engineering of {C}orynebacterium glutamicum},
      journal      = {Biotechnology journal},
      volume       = {14},
      number       = {9},
      issn         = {1860-7314},
      address      = {Weinheim},
      publisher    = {Wiley-VCH},
      reportid     = {FZJ-2019-05876},
      pages        = {1800444 -},
      year         = {2019},
      note         = {Biotechnologie 1},
      abstract     = {A unique feature of biotechnology is that we can harness
                      the power of evolution to improve process performance.
                      Rational engineering of microbial strains has led to the
                      establishment of a variety of successful bioprocesses, but
                      it is hampered by the overwhelming complexity of biological
                      systems. Evolutionary engineering represents a
                      straightforward approach for fitness‐linked phenotypes
                      (e.g., growth or stress tolerance) and is successfully
                      applied to select for strains with improved properties for
                      particular industrial applications. In recent years,
                      synthetic evolution strategies have enabled selection for
                      increased small molecule production by linking metabolic
                      productivity to growth as a selectable trait. This review
                      summarizes the evolutionary engineering strategies performed
                      with the industrial platform organism Corynebacterium
                      glutamicum. An increasing number of recent studies highlight
                      the potential of adaptive laboratory evolution (ALE) to
                      improve growth or stress resistance, implement the
                      utilization of alternative carbon sources, or improve small
                      molecule production. Advances in next‐generation
                      sequencing and automation technologies will foster the
                      application of ALE strategies to streamline microbial
                      strains for bioproduction and enhance our understanding of
                      biological systems.},
      cin          = {IBG-1},
      ddc          = {570},
      cid          = {I:(DE-Juel1)IBG-1-20101118},
      pnm          = {581 - Biotechnology (POF3-581)},
      pid          = {G:(DE-HGF)POF3-581},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:30927493},
      UT           = {WOS:000483834000016},
      doi          = {10.1002/biot.201800444},
      url          = {https://juser.fz-juelich.de/record/866813},
}