Chassis organism from <i>Corynebacterium glutamicum</i> – a top‐down approach to identify and delete irrelevant gene clusters

Simon Unthan(Forschungszentrum Jülich), Meike Baumgart(Forschungszentrum Jülich), Andreas Radek(Forschungszentrum Jülich), Marius Herbst(Bielefeld University), Daniel Siebert(Bielefeld University), Natalie Brühl(University of Cologne), Anna Bartsch(University of Cologne), Michael Bott(Forschungszentrum Jülich), Wolfgang Wiechert(Forschungszentrum Jülich), Kay Marin(Evonik (Germany)), Stephan Hans(Evonik (Germany)), Reinhard Krämer(University of Cologne), Gerd M. Seibold(University of Cologne), Julia Frunzke(Forschungszentrum Jülich), Jörn Kalinowski(Bielefeld University), Christian Rückert(Bielefeld University), Volker F. Wendisch(Bielefeld University), Stephan Noack(Forschungszentrum Jülich)
Biotechnology Journal
August 20, 2014
Cited by 123Open Access
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Abstract

For synthetic biology applications, a robust structural basis is required, which can be constructed either from scratch or in a top-down approach starting from any existing organism. In this study, we initiated the top-down construction of a chassis organism from Corynebacterium glutamicum ATCC 13032, aiming for the relevant gene set to maintain its fast growth on defined medium. We evaluated each native gene for its essentiality considering expression levels, phylogenetic conservation, and knockout data. Based on this classification, we determined 41 gene clusters ranging from 3.7 to 49.7 kbp as target sites for deletion. 36 deletions were successful and 10 genome-reduced strains showed impaired growth rates, indicating that genes were hit, which are relevant to maintain biological fitness at wild-type level. In contrast, 26 deleted clusters were found to include exclusively irrelevant genes for growth on defined medium. A combinatory deletion of all irrelevant gene clusters would, in a prophage-free strain, decrease the size of the native genome by about 722 kbp (22%) to 2561 kbp. Finally, five combinatory deletions of irrelevant gene clusters were investigated. The study introduces the novel concept of relevant genes and demonstrates general strategies to construct a chassis suitable for biotechnological application.


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