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@ARTICLE{DellaCorte:884040,
      author       = {Della Corte, Dennis and van Beek, Hugo and Syberg, Falk and
                      Schallmey, Marcus and Tobola, Felix and Cormann, Kai and
                      Schlicker, Christine and Baumann, Philipp Tobias and
                      Krumbach, Karin and Sokolowsky, Sascha and Morris, Connor J.
                      and Grünberger, Alexander and Hofmann, Eckhard and
                      Schröder, Gunnar F. and Marienhagen, Jan},
      title        = {{E}ngineering and application of a biosensor with focused
                      ligand specificity},
      journal      = {Nature Communications},
      volume       = {11},
      number       = {1},
      issn         = {2041-1723},
      address      = {[London]},
      publisher    = {Nature Publishing Group UK},
      reportid     = {FZJ-2020-03061},
      pages        = {4851},
      year         = {2020},
      abstract     = {Cell factories converting bio-based precursors to chemicals
                      present an attractive avenue to a sustainable economy, yet
                      screening of genetically diverse strain libraries to
                      identify the best-performing whole-cell biocatalysts is a
                      low-throughput endeavor. For this reason, transcriptional
                      biosensors attract attention as they allow the screening of
                      vast libraries when used in combination with
                      fluorescence-activated cell sorting (FACS). However, broad
                      ligand specificity of transcriptional regulators (TRs) often
                      prohibits the development of such ultra-high-throughput
                      screens. Here, we solve the structure of the TR LysG of
                      Corynebacterium glutamicum, which detects all three basic
                      amino acids. Based on this information, we follow a
                      semi-rational engineering approach using a FACS-based
                      screening/counterscreening strategy to generate an l-lysine
                      insensitive LysG-based biosensor. This biosensor can be used
                      to isolate l-histidine-producing strains by FACS, showing
                      that TR engineering towards a more focused ligand spectrum
                      can expand the scope of application of such metabolite
                      sensors.},
      cin          = {IBG-1 / IBI-7},
      ddc          = {500},
      cid          = {I:(DE-Juel1)IBG-1-20101118 / I:(DE-Juel1)IBI-7-20200312},
      pnm          = {581 - Biotechnology (POF3-581)},
      pid          = {G:(DE-HGF)POF3-581},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32978386},
      UT           = {WOS:000573735500001},
      doi          = {10.1038/s41467-020-18400-0},
      url          = {https://juser.fz-juelich.de/record/884040},
}