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Mutations in the Global Transcription Factor CRP/CAP: Insights from Experimental Evolution and Deep Sequencing.

ABSTRACT: The Escherichia coli cyclic AMP receptor protein (CRP or catabolite activator protein, CAP) provides a textbook example of bacterial transcriptional regulation and is one of the best studied transcription factors in biology. For almost five decades a large number of mutants, evolved in vivo or engineered in vitro, have shed light on the molecular structure and mechanism of CRP. Here, we review previous work, providing an overview of studies describing the isolation of CRP mutants. Furthermore, we present new data on deep sequencing of different bacterial populations that have evolved under selective pressure that strongly favors mutations in the crp locus. Our new approach identifies more than 100 new CRP mutations and paves the way for a deeper understanding of this fascinating bacterial master regulator.

SUBMITTER: Frendorf PO

PROVIDER: S-EPMC6603298 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Mutations in the Global Transcription Factor CRP/CAP: Insights from Experimental Evolution and Deep Sequencing.

Frendorf Pernille Ott PO Lauritsen Ida I Sekowska Agnieszka A Danchin Antoine A Nørholm Morten H H MHH

Computational and structural biotechnology journal 20190618

The Escherichia coli cyclic AMP receptor protein (CRP or catabolite activator protein, CAP) provides a textbook example of bacterial transcriptional regulation and is one of the best studied transcription factors in biology. For almost five decades a large number of mutants, evolved in vivo or engineered in vitro, have shed light on the molecular structure and mechanism of CRP. Here, we review previous work, providing an overview of studies describing the isolation of CRP mu ...[more]

PMID: 31303977

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Dataset Information

Mutations in the Global Transcription Factor CRP/CAP: Insights from Experimental Evolution and Deep Sequencing.

Publications

Mutations in the Global Transcription Factor CRP/CAP: Insights from Experimental Evolution and Deep Sequencing.

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