Growth Defects and Loss-of-Function in Synthetic Gene Circuits.

Autor: Nikolados EM; School of Biological Sciences , University of Edinburgh , Edinburgh EH9 3BF , United Kingdom., Weiße AY; Department of Medicine , Imperial College London, Hammersmith Hospital , London W12 0NN , United Kingdom., Ceroni F; Department of Chemical Engineering , Imperial College London , London SW7 2AZ , United Kingdom.; Imperial College Centre for Synthetic Biology , Imperial College London , London SW7 2AZ , United Kingdom., Oyarzún DA; School of Biological Sciences , University of Edinburgh , Edinburgh EH9 3BF , United Kingdom.; School of Informatics , University of Edinburgh , Edinburgh EH8 9AB , United Kingdom.; SynthSys - Centre for Synthetic & Systems Biology , University of Edinburgh , Edinburgh EH9 3BF , United Kingdom.
Jazyk: angličtina
Zdroj: ACS synthetic biology [ACS Synth Biol] 2019 Jun 21; Vol. 8 (6), pp. 1231-1240. Date of Electronic Publication: 2019 Jun 04.
DOI: 10.1021/acssynbio.8b00531
Abstrakt: Synthetic gene circuits perturb the physiology of their cellular host. The extra load on endogenous processes shifts the equilibrium of resource allocation in the host, leading to slow growth and reduced biosynthesis. Here we built integrated host-circuit models to quantify growth defects caused by synthetic gene circuits. Simulations reveal a complex relation between circuit output and cellular capacity for gene expression. For weak induction of heterologous genes, protein output can be increased at the expense of growth defects. Yet for stronger induction, cellular capacity reaches a tipping point, beyond which both gene expression and growth rate drop sharply. Extensive simulations across various growth conditions and large regions of the design space suggest that the critical capacity is a result of ribosomal scarcity. We studied the impact of growth defects on various gene circuits and transcriptional logic gates, which highlights the extent to which cellular burden can limit, shape, and even break down circuit function. Our approach offers a comprehensive framework to assess the impact of host-circuit interactions in silico, with wide-ranging implications for the design and optimization of bacterial gene circuits.
Databáze: MEDLINE