Literature DB >> 23871664

Effects of genetic variation on the E. coli host-circuit interface.

Stefano Cardinale1, Marcin Pawel Joachimiak, Adam Paul Arkin.   

Abstract

Predictable operation of engineered biological circuitry requires the knowledge of host factors that compete or interfere with designed function. Here, we perform a detailed analysis of the interaction between constitutive expression from a test circuit and cell-growth properties in a subset of genetic variants of the bacterium Escherichia coli. Differences in generic cellular parameters such as ribosome availability and growth rate are the main determinants (89%) of strain-specific differences of circuit performance in laboratory-adapted strains but are responsible for only 35% of expression variation across 88 mutants of E. coli BW25113. In the latter strains, we identify specific cell functions, such as nitrogen metabolism, that directly modulate circuit behavior. Finally, we expose aspects of carbon metabolism that act in a strain- and sequence-specific manner. This method of dissecting interactions between host factors and heterologous circuits enables the discovery of mechanisms of interference necessary for the development of design principles for predictable cellular engineering.
Copyright © 2013 The Authors. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23871664     DOI: 10.1016/j.celrep.2013.06.023

Source DB:  PubMed          Journal:  Cell Rep            Impact factor:   9.423


  28 in total

1.  The influence of a host.

Authors:  Nicole Rusk
Journal:  Nat Methods       Date:  2013-09       Impact factor: 28.547

2.  Quantifying cellular capacity identifies gene expression designs with reduced burden.

Authors:  Francesca Ceroni; Rhys Algar; Guy-Bart Stan; Tom Ellis
Journal:  Nat Methods       Date:  2015-04-06       Impact factor: 28.547

3.  Inducible suppression of global translation by overuse of rare codons.

Authors:  Hideki Kobayashi
Journal:  Appl Environ Microbiol       Date:  2015-01-30       Impact factor: 4.792

4.  Algorithmic co-optimization of genetic constructs and growth conditions: application to 6-ACA, a potential nylon-6 precursor.

Authors:  Hui Zhou; Brenda Vonk; Johannes A Roubos; Roel A L Bovenberg; Christopher A Voigt
Journal:  Nucleic Acids Res       Date:  2015-10-30       Impact factor: 16.971

5.  Characterizing bacterial gene circuit dynamics with optically programmed gene expression signals.

Authors:  Evan J Olson; Lucas A Hartsough; Brian P Landry; Raghav Shroff; Jeffrey J Tabor
Journal:  Nat Methods       Date:  2014-03-09       Impact factor: 28.547

6.  Optogenetic characterization methods overcome key challenges in synthetic and systems biology.

Authors:  Evan J Olson; Jeffrey J Tabor
Journal:  Nat Chem Biol       Date:  2014-07       Impact factor: 15.040

Review 7.  Principles of genetic circuit design.

Authors:  Jennifer A N Brophy; Christopher A Voigt
Journal:  Nat Methods       Date:  2014-05       Impact factor: 28.547

Review 8.  How to train your microbe: methods for dynamically characterizing gene networks.

Authors:  Sebastian M Castillo-Hair; Oleg A Igoshin; Jeffrey J Tabor
Journal:  Curr Opin Microbiol       Date:  2015-02-10       Impact factor: 7.934

9.  Cultivation at high osmotic pressure confers ubiquinone 8-independent protection of respiration on Escherichia coli.

Authors:  Laura Tempelhagen; Anita Ayer; Doreen E Culham; Roland Stocker; Janet M Wood
Journal:  J Biol Chem       Date:  2019-12-11       Impact factor: 5.157

Review 10.  Designer cell signal processing circuits for biotechnology.

Authors:  Robert W Bradley; Baojun Wang
Journal:  N Biotechnol       Date:  2015-01-08       Impact factor: 5.079

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