Julia Frunzke

Dr. Julia Frunzke

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Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 November 2014 in Journal of Bacteriology
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ANArun M. Nanda
Arun M. Nanda
KTKai Thormann
Kai Thormann
JFJulia Frunzke
Julia Frunzke
Bacteriophages and genetic elements, such as prophage-like elements, pathogenicity islands, and phage morons, make up a considerable amount of bacterial genomes. Their transfer and subsequent activity within the host's genetic circuitry have had a significant impact on bacterial evolution. In this review, we consider what underlying mechanisms might cause the spontaneous activity of lysogenic phages in single bacterial cells and how the spontaneous induction of prophages can lead to competitive advantages for and influence the lifestyle of bacterial populations or the virulence of pathogenic strains.

31 October 2015 in Applied Microbiology and Biotechnology
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RMRegina Mahr
Regina Mahr
JFJulia Frunzke
Julia Frunzke
Living organisms have evolved a plethora of sensing systems for the intra- and extracellular detection of small molecules, ions or physical parameters. Several recent studies have demonstrated that these principles can be exploited to devise synthetic regulatory circuits for metabolic engineering strategies. In this context, transcription factors (TFs) controlling microbial physiology at the level of transcription play a major role in biosensor design, since they can be implemented in synthetic circuits controlling gene expression in dependency of, for example, small molecule production. Here, we review recent progress on the utilization of TF-based biosensors in microbial biotechnology highlighting different areas of application. Recent advances in metabolic engineering reveal TF-based sensors to be versatile tools for strain and enzyme development using high-throughput (HT) screening strategies and adaptive laboratory evolution, the optimization of heterologous pathways via the implementation of dynamic control circuits and for the monitoring of single-cell productivity in live cell imaging studies. These examples underline the immense potential of TF-based biosensor circuits but also identify limitations and room for further optimization.

1 July 2012 in Metabolic Engineering
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Journal Article
Closed access
NMNurije Mustafi
Nurije Mustafi
AGAlexander Grünberger
Alexander Grünberger
Dietrich KohlheyerDietrich Kohlheyer
Dietrich Kohlheyer
MBMichael Bott
Michael Bott
JFJulia Frunzke
Julia Frunzke

1 October 2013 in Applied and Environmental Microbiology
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MBMeike Baumgart
Meike Baumgart
SUSimon Unthan
Simon Unthan
CRChristian Rückert-Reed
Christian Rückert-Reed
JSJasintha Sivalingam
Jasintha Sivalingam
Alexander GrünbergerAlexander Grünberger
Alexander Grünberger
JFJulia Frunzke
Julia Frunzke
The activity of bacteriophages and phage-related mobile elements is a major source for genome rearrangements and genetic instability of their bacterial hosts. The genome of the industrial amino acid producer Corynebacterium glutamicum ATCC 13032 contains three prophages (CGP1, CGP2, and CGP3) of so far unknown functionality. Several phage genes are regularly expressed, and the large prophage CGP3 (∼190 kbp) has recently been shown to be induced under certain stress conditions. Here, we present the construction of MB001, a prophage-free variant of C. glutamicum ATCC 13032 with a 6% reduced genome. This strain does not show any unfavorable properties during extensive phenotypic characterization under various standard and stress conditions. As expected, we observed improved growth and fitness of MB001 under SOS-response-inducing conditions that trigger CGP3 induction in the wild-type strain. Further studies revealed that MB001 has a significantly increased transformation efficiency and produced about 30% more of the heterologous model protein enhanced yellow fluorescent protein (eYFP), presumably as a consequence of an increased plasmid copy number. These effects were attributed to the loss of the restriction-modification system (cg1996-cg1998) located within CGP3. The deletion of the prophages without any negative effect results in a novel platform strain for metabolic engineering and represents a useful step toward the construction of a C. glutamicum chassis genome of strain ATCC 13032 for biotechnological applications and synthetic biology.

1 November 2015 in Metabolic Engineering
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Journal Article
Closed access
RMRegina Mahr
Regina Mahr
CGCornelia Gätgens
Cornelia Gätgens
JGJochem Gätgens
Jochem Gätgens
Tino PolenTino Polen
Tino Polen
JKJörn Kalinowski
Jörn Kalinowski
JFJulia Frunzke
Julia Frunzke

7 December 2007 in Molecular Microbiology
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JFJulia Frunzke
Julia Frunzke
VEVerena Engels
Verena Engels
SHSonja Hasenbein
Sonja Hasenbein
CGCornelia Gätgens
Cornelia Gätgens
MBMichael Bott
Michael Bott
Summary: Corynebacterium glutamicum is a Gram‐positive soil bacterium that prefers the simultaneous catabolism of different carbon sources rather than their sequential utilization. This type of metabolism requires an adaptation of the utilization rates to the overall metabolic capacity. Here we show how two functionally redundant GntR‐type transcriptional regulators, designated GntR1 and GntR2, co‐ordinately regulate gluconate catabolism and glucose uptake. GntR1 and GntR2 strongly repress the genes encoding gluconate permease (gntP), gluconate kinase (gntK), and 6‐phosphogluconate dehydrogenase (gnd) and weakly the pentose phosphate pathway genes organized in the tkt‐tal‐zwf‐opcA‐devB cluster. In contrast, ptsG encoding the EIIGlc permease of the glucose phosphotransferase system (PTS) is activated by GntR1 and GntR2. Gluconate and glucono‐δ‐lactone interfere with binding of GntR1 and GntR2 to their target promoters, leading to a derepression of the genes involved in gluconate catabolism and reduced ptsG expression. To our knowledge, this is the first example for gluconate‐dependent transcriptional control of PTS genes. A mutant lacking both gntR1 and gntR2 shows a 60% lower glucose uptake rate and growth rate than the wild type when cultivated on glucose as sole carbon source. This growth defect can be complemented by plasmid‐encoded GntR1 or GntR2.