Systems assessment of transcriptional regulation on central carbon metabolism by Cra and CRP

Donghyuk Kim, Sang Woo Seo, Ye Gao, Hojung Nam, Gabriela I. Guzman, Byung-Kwan Cho, Bernhard O. Palsson*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

222 Downloads (Pure)


Two major transcriptional regulators of carbon metabolism in bacteria are Cra and CRP. CRP is considered to be the main mediator of catabolite repression. Unlike for CRP, in vivo DNA binding information of Cra is scarce. Here we generate and integrate ChIP-exo and RNA-seq data to identify 39 binding sites for Cra and 97 regulon genes that are regulated by Cra in Escherichia coli. An integrated metabolic-regulatory network was formed by including experimentally-derived regulatory information and a genome-scale metabolic network reconstruction. Applying analysis methods of systems biology to this integrated network showed that Cra enables optimal bacterial growth on poor carbon sources by redirecting and repressing glycolysis flux, by activating the glyoxylate shunt pathway, and by activating the respiratory pathway. In these regulatory mechanisms, the overriding regulatory activity of Cra over CRP is fundamental. Thus, elucidation of interacting transcriptional regulation of core carbon metabolism in bacteria by two key transcription factors was possible by combining genome-wide experimental measurement and simulation with a genomescale metabolic model.
Original languageEnglish
JournalNucleic acids research
Issue number6
Pages (from-to)2901-2917
Publication statusPublished - 2018

Bibliographical note

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

Fingerprint Dive into the research topics of 'Systems assessment of transcriptional regulation on central carbon metabolism by Cra and CRP'. Together they form a unique fingerprint.

Cite this