Literature DB >> 27148753

An Orthogonal Permease-Inducer-Repressor Feedback Loop Shows Bistability.

Robert Gnügge1,2, Lekshmi Dharmarajan2, Moritz Lang2, Jörg Stelling2.   

Abstract

Feedback loops in biological networks, among others, enable differentiation and cell cycle progression, and increase robustness in signal transduction. In natural networks, feedback loops are often complex and intertwined, making it challenging to identify which loops are mainly responsible for an observed behavior. However, minimal synthetic replicas could allow for such identification. Here, we engineered a synthetic permease-inducer-repressor system in Saccharomyces cerevisiae to analyze if a transport-mediated positive feedback loop could be a core mechanism for the switch-like behavior in the regulation of metabolic gene networks such as the S. cerevisiae GAL system or the Escherichia coli lac operon. We characterized the synthetic circuit using deterministic and stochastic mathematical models. Similar to its natural counterparts, our synthetic system shows bistable and hysteretic behavior, and the inducer concentration range for bistability as well as the switching rates between the two stable states depend on the repressor concentration. Our results indicate that a generic permease-inducer-repressor circuit with a single feedback loop is sufficient to explain the experimentally observed bistable behavior of the natural systems. We anticipate that the approach of reimplementing natural systems with orthogonal parts to identify crucial network components is applicable to other natural systems such as signaling pathways.

Entities:  

Keywords:  S. cerevisiae; bistability; genetic circuit; hysteresis; switch; synthetic biology

Mesh:

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Year:  2016        PMID: 27148753     DOI: 10.1021/acssynbio.6b00013

Source DB:  PubMed          Journal:  ACS Synth Biol        ISSN: 2161-5063            Impact factor:   5.110


  3 in total

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Journal:  Methods Mol Biol       Date:  2021

2.  Transient hysteresis and inherent stochasticity in gene regulatory networks.

Authors:  M Pájaro; I Otero-Muras; C Vázquez; A A Alonso
Journal:  Nat Commun       Date:  2019-10-08       Impact factor: 14.919

3.  Synthetic Toolkit for Complex Genetic Circuit Engineering in Saccharomyces cerevisiae.

Authors:  Anssi Rantasalo; Joosu Kuivanen; Merja Penttilä; Jussi Jäntti; Dominik Mojzita
Journal:  ACS Synth Biol       Date:  2018-05-21       Impact factor: 5.110

  3 in total

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