The transcription factor network of E. coli steers global responses to shifts in RNAP concentration

Author:

L.B. Almeida Bilena1ORCID,M. Bahrudeen Mohamed N1ORCID,Chauhan Vatsala1,Dash Suchintak1ORCID,Kandavalli Vinodh2,Häkkinen Antti3ORCID,Lloyd-Price Jason4,S.D. Cristina Palma1,Baptista Ines S C1,Gupta Abhishekh5,Kesseli Juha6,Dufour Eric7,Smolander Olli-Pekka89,Nykter Matti6,Auvinen Petri9,Jacobs Howard T10ORCID,M.D. Oliveira Samuel11,S. Ribeiro Andre112ORCID

Affiliation:

1. Laboratory of Biosystem Dynamics, Faculty of Medicine and Health Technology, Tampere University , Tampere, Finland

2. Department of Cell and Molecular Biology, Uppsala University , Uppsala, Sweden

3. Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki , FI-00014 Helsinki, Finland

4. Google LLC , 111 8th Ave, New York, NY 10010, USA

5. Center for Quantitative Medicine and Department of Cell Biology, University of Connecticut School of Medicine , 263 Farmington Av., Farmington, CT 06030-6033, USA

6. Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University , Tampere, Finland; Tays Cancer Center, Tampere University Hospital, Tampere, Finland

7. Mitochondrial bioenergetics and metabolism, BioMediTech, Faculty of Medicine and Health Technology, Tampere University , Tampere, Finland

8. Department of Chemistry and Biotechnology, Tallinn University of Technology , Tallinn, Estonia

9. Institute of Biotechnology, University of Helsinki , Viikinkaari 5D, 00790 Helsinki, Finland

10. Faculty of Medicine and Health Technology, FI-33014 Tampere University, Finland; Department of Environment and Genetics, La Trobe University , Melbourne, Victoria 3086, Australia

11. Department of Electrical and Computer Engineering, Boston University , Boston, MA, USA

12. Center of Technology and Systems (CTS-Uninova), NOVA University of Lisbon , 2829-516 Monte de Caparica, Portugal

Abstract

Abstract The robustness and sensitivity of gene networks to environmental changes is critical for cell survival. How gene networks produce specific, chronologically ordered responses to genome-wide perturbations, while robustly maintaining homeostasis, remains an open question. We analysed if short- and mid-term genome-wide responses to shifts in RNA polymerase (RNAP) concentration are influenced by the known topology and logic of the transcription factor network (TFN) of Escherichia coli. We found that, at the gene cohort level, the magnitude of the single-gene, mid-term transcriptional responses to changes in RNAP concentration can be explained by the absolute difference between the gene's numbers of activating and repressing input transcription factors (TFs). Interestingly, this difference is strongly positively correlated with the number of input TFs of the gene. Meanwhile, short-term responses showed only weak influence from the TFN. Our results suggest that the global topological traits of the TFN of E. coli shape which gene cohorts respond to genome-wide stresses.

Publisher

Oxford University Press (OUP)

Subject

Genetics

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