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      Digitalizing heterologous gene expression in Gram‐negative bacteria with a portable ON/OFF module

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          Abstract

          While prokaryotic promoters controlled by signal‐responding regulators typically display a range of input/output ratios when exposed to cognate inducers, virtually no naturally occurring cases are known to have an OFF state of zero transcription—as ideally needed for synthetic circuits. To overcome this problem, we have modelled and implemented a simple digitalizer module that completely suppresses the basal level of otherwise strong promoters in such a way that expression in the absence of induction is entirely impeded. The circuit involves the interplay of a translation‐inhibitory sRNA with the translational coupling of the gene of interest to a repressor such as LacI. The digitalizer module was validated with the strong inducible promoters Pm (induced by XylS in the presence of benzoate) and PalkB (induced by AlkS/dicyclopropyl ketone) and shown to perform effectively in both Escherichia coli and the soil bacterium Pseudomonas putida. The distinct expression architecture allowed cloning and conditional expression of, e.g. colicin E3, one molecule of which per cell suffices to kill the host bacterium. Revertants that escaped ColE3 killing were not found in hosts devoid of insertion sequences, suggesting that mobile elements are a major source of circuit inactivation in vivo.

          Abstract

          Stringent ON/OFF expression switches are difficult to implement in vivo, as promoters use to have a degree of basal expression. Yet, the problem can be overcome by combining transcriptional signals with repressor proteins and inhibitory small RNAs.

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          Most cited references68

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          Nature, nurture, or chance: stochastic gene expression and its consequences.

          Gene expression is a fundamentally stochastic process, with randomness in transcription and translation leading to cell-to-cell variations in mRNA and protein levels. This variation appears in organisms ranging from microbes to metazoans, and its characteristics depend both on the biophysical parameters governing gene expression and on gene network structure. Stochastic gene expression has important consequences for cellular function, being beneficial in some contexts and harmful in others. These situations include the stress response, metabolism, development, the cell cycle, circadian rhythms, and aging.
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            Colicin biology.

            Colicins are proteins produced by and toxic for some strains of Escherichia coli. They are produced by strains of E. coli carrying a colicinogenic plasmid that bears the genetic determinants for colicin synthesis, immunity, and release. Insights gained into each fundamental aspect of their biology are presented: their synthesis, which is under SOS regulation; their release into the extracellular medium, which involves the colicin lysis protein; and their uptake mechanisms and modes of action. Colicins are organized into three domains, each one involved in a different step of the process of killing sensitive bacteria. The structures of some colicins are known at the atomic level and are discussed. Colicins exert their lethal action by first binding to specific receptors, which are outer membrane proteins used for the entry of specific nutrients. They are then translocated through the outer membrane and transit through the periplasm by either the Tol or the TonB system. The components of each system are known, and their implication in the functioning of the system is described. Colicins then reach their lethal target and act either by forming a voltage-dependent channel into the inner membrane or by using their endonuclease activity on DNA, rRNA, or tRNA. The mechanisms of inhibition by specific and cognate immunity proteins are presented. Finally, the use of colicins as laboratory or biotechnological tools and their mode of evolution are discussed.
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              Synthetic gene networks that count.

              Synthetic gene networks can be constructed to emulate digital circuits and devices, giving one the ability to program and design cells with some of the principles of modern computing, such as counting. A cellular counter would enable complex synthetic programming and a variety of biotechnology applications. Here, we report two complementary synthetic genetic counters in Escherichia coli that can count up to three induction events: the first, a riboregulated transcriptional cascade, and the second, a recombinase-based cascade of memory units. These modular devices permit counting of varied user-defined inputs over a range of frequencies and can be expanded to count higher numbers.
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                Author and article information

                Contributors
                vdlorenzo@cnb.csic.es
                Journal
                Mol Syst Biol
                Mol. Syst. Biol
                10.1002/(ISSN)1744-4292
                MSB
                msb
                Molecular Systems Biology
                John Wiley and Sons Inc. (Hoboken )
                1744-4292
                19 December 2019
                December 2019
                : 15
                : 12 ( doiID: 10.1002/msb.v15.12 )
                : e8777
                Affiliations
                [ 1 ] Systems Biology Program Centro Nacional de Biotecnología‐CSIC Madrid Spain
                [ 2 ]Present address: School of Computing Newcastle University Newcastle upon Tyne UK
                Author notes
                [*] [* ]Corresponding author. Tel: +34 91 585 45 36; Fax: +34 91 585 45 06; E‐mail: vdlorenzo@ 123456cnb.csic.es
                Author information
                https://orcid.org/0000-0002-6041-2731
                Article
                MSB188777
                10.15252/msb.20188777
                6920698
                31885200
                a83f302e-ca7c-4ab2-b4d0-54922b8a9dbc
                © 2019 The Authors. Published under the terms of the CC BY 4.0 license

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 03 December 2018
                : 16 October 2019
                : 24 October 2019
                Page count
                Figures: 7, Tables: 0, Pages: 16, Words: 13368
                Funding
                Funded by: SETH Project of the Spanish Ministry of Science , open-funder-registry 10.13039/501100004837;
                Award ID: RTI 2018‐095584‐B‐C42
                Funded by: MADONNA
                Award ID: H2020‐FET‐OPEN‐RIA‐2017‐1‐766975
                Funded by: BioRoboost
                Award ID: H2020‐NMBP‐BIO‐CSA‐2018
                Funded by: SYNBIO4FLAV
                Award ID: H2020‐NMBP/0500
                Funded by: European Union , open-funder-registry 10.13039/501100000780;
                Award ID: S2017/BMD‐3691
                Funded by: Comunidad de Madrid (European Structural and Investment Funds) , open-funder-registry 10.13039/100012818;
                Award ID: S2017/BMD‐3691
                Funded by: EC|H2020|H2020 Priority Excellent Science|H2020 European Research Council (ERC) , open-funder-registry 10.13039/100010663;
                Award ID: ADG‐322797
                Funded by: EC|H2020|H2020 Priority Industrial Leadership|H2020 Leadership in Enabling and Industrial Technologies (LEIT) , open-funder-registry 10.13039/100010668;
                Award ID: 6335536
                Funded by: EC|H2020|H2020 Priority Excellent Science|H2020 Future and Emerging Technologies (FET) , open-funder-registry 10.13039/100010664;
                Award ID: 766975
                Categories
                Article
                Articles
                Custom metadata
                2.0
                December 2019
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.7.3 mode:remove_FC converted:19.12.2019

                Quantitative & Systems biology
                alks,hfq,promoter,srna,xyls,synthetic biology & biotechnology,microbiology, virology & host pathogen interaction

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