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

Kuvaus

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.
Näytä enemmän

Julkaisuvuosi

2022

Aineiston tyyppi

Tekijät

DRYAD - Julkaisija

Abhishekh Gupta - Tekijä

Andre Sanches Ribeiro - Tekijä

Bilena Lima De Brito Almeida - Tekijä

Cristina Santos Dias Palma - Tekijä

Eric Dufour - Tekijä

Howard Jacobs - Tekijä

Ines Calado Baptista - Tekijä

Jason Lloyd-Price - Tekijä

Juha Kesseli - Tekijä

Matti Nykter - Tekijä

Mohamed Mohamed Bahrudeen - Tekijä

Suchintak Dash - Tekijä

Vatsala Chauhan - Tekijä

Vinodh Kandavalli - Tekijä

Tuntematon organisaatio

Antti Häkkinen - Tekijä

Olli-Pekka Smolander - Tekijä

Petri Auvinen - Tekijä

Samuel M.D. Oliveira - Tekijä

Projekti

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englanti

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Avoin

Lisenssi

Creative Commons Nimeä 4.0 Kansainvälinen (CC BY 4.0)

Avainsanat

Transcription, FOS: Biological sciences, Gene regulatory networks, Genome-wide perturbations, Short- and mid-term responses, TF regulatory effects

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