Coordination of CcpA and CodY Regulators in Staphylococcus aureus USA300 Strains

Saugat Poudel, Ying Hefner, Richard Szubin, Anand Sastry, Ye Gao, Victor Nizet, Bernhard O. Palsson

Research output: Contribution to journalArticlepeer-review

Abstract

The complex cross talk between metabolism and gene regulatory networks makes it difficult to untangle individual constituents and study their precise roles and interactions. To address this issue, we modularized the transcriptional regulatory network (TRN) of the Staphylococcus aureus USA300 strain by applying independent component analysis (ICA) to 385 RNA sequencing samples. We then combined the modular TRN model with a metabolic model to study the regulation of carbon and amino acid metabolism. Our analysis showed that regulation of central carbon metabolism by CcpA and amino acid biosynthesis by CodY are closely coordinated. In general, S. aureus increases the expression of CodY-regulated genes in the presence of preferred carbon sources such as glucose. This transcriptional coordination was corroborated by metabolic model simulations that also showed increased amino acid biosynthesis in the presence of glucose. Further, we found that CodY and CcpA cooperatively regulate the expression of ribosome hibernation-promoting factor, thus linking metabolic cues with translation. In line with this hypothesis, expression of CodY-regulated genes is tightly correlated with expression of genes encoding ribosomal proteins. Together, we propose a coarse-grained model where expression of S. aureus genes encoding enzymes that control carbon flux and nitrogen flux through the system is coregulated with expression of translation machinery to modularly control protein synthesis. While this work focuses on three key regulators, the full TRN model we present contains 76 total independently modulated sets of genes, each with the potential to uncover other complex regulatory structures and interactions.

Original languageEnglish
JournalmSystems
Volume7
Issue number6
DOIs
Publication statusPublished - Dec 2022

Bibliographical note

Funding Information: This work was funded by the NIAID grant U01AI124316 and the Novo Nordisk Foundation grant number NNF20CC0035580. Publisher Copyright: Copyright © 2022 Poudel et al.

Other keywords

  • Staphylococcus aureus
  • gene regulation
  • metabolism
  • network modeling

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