Literature DB >> 31669680

Transcription factor-based biosensors and inducible systems in non-model bacteria: current progress and future directions.

Nancy M Kim1, Riley W Sinnott2, Nicholas R Sandoval3.   

Abstract

Genetic diversity within the geobiosphere encompasses enormous sensing capabilities and many non-model bacteria are of biotechnological interest. Biosensing, or more generally inducible, systems are a vital component of metabolic engineering, as they allow tight control of gene expression as well as the basis for high-throughput screens on non-growth-related phenotypes. While these inducible systems, primarily transcription factor/promoter pairs, have been utilized extensively in Escherichia coli, progress in other bacteria is limited because of differences in transcription machinery, physiological compatibility of parts and proteins, and other nuances. Here, we provide an overview of the available genetic biosensing elements in non-model organisms and state-of-the-art efforts to engineer them, and then discuss challenges preventing these methods from common use in non-model bacteria.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Year:  2019        PMID: 31669680     DOI: 10.1016/j.copbio.2019.09.009

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  3 in total

1.  Development and Characterization of Indole-Responsive Whole-Cell Biosensor Based on the Inducible Gene Expression System from Pseudomonas putida KT2440.

Authors:  Paulius Matulis; Ingrida Kutraite; Ernesta Augustiniene; Egle Valanciene; Ilona Jonuskiene; Naglis Malys
Journal:  Int J Mol Sci       Date:  2022-04-22       Impact factor: 6.208

Review 2.  Translating New Synthetic Biology Advances for Biosensing Into the Earth and Environmental Sciences.

Authors:  Ilenne Del Valle; Emily M Fulk; Prashant Kalvapalle; Jonathan J Silberg; Caroline A Masiello; Lauren B Stadler
Journal:  Front Microbiol       Date:  2021-02-04       Impact factor: 5.640

3.  Elucidation of Sequence-Function Relationships for an Improved Biobutanol In Vivo Biosensor in E. coli.

Authors:  Nancy M Kim; Riley W Sinnott; Lily N Rothschild; Nicholas R Sandoval
Journal:  Front Bioeng Biotechnol       Date:  2022-02-21
  3 in total

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