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A high-throughput approach to identify genomic variants of bacterial metabolite producers at the single-cell level

Stephan Binder, Georg Schendzielorz, Norma Stäbler, Karin Krumbach, Kristina Hoffmann, Michael Bott and Lothar Eggeling*

Author Affiliations

Institut für Bio- und Geowissenschaften, IBG-1: Biotechnologie, Forschungszentrum Jülich GmbH, D-52425 Jülich, Germany

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Genome Biology 2012, 13:R40  doi:10.1186/gb-2012-13-5-r40

Published: 28 May 2012

Additional files

Additional file 1:

Supplementary Tables S1 to S4 and Figures S1 to S6. Table S1: strains used. Table S2: quality assessment of sorting cells carrying pSenLys. Table S3: L-lysine formation with mutations introduced by reverse engineering. Table S4: statistics on whole-genome sequencing of strain K051. Table S5: growth rates of murE mutants. Figure S1: isolation of LysG and characterization of the LysG binding site. Figure S2: the vector pSenLys and general configuration of sensor plasmids. Figure S3: peptide-dose response curves with sensor-carrying E. coli and C. glutamicum. Figure S4: development of Crimson and EYFP signals in mixtures of ATCC13032 with DM1728 over time. Figure S5: growth curves and fluorescence of 40 mutant cultures. Figure S6: structural presentation of LysC and localization of mutations identified.

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Open Data

Additional file 2:

All mutations of C. glutamicum strain K051.

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Open Data